DEVELOPMENT OF A SCALE TO ASSESS ASSET...

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COPYRIGHT UCT DEVELOPMENT OF A SCALE TO ASSESS ASSET MANAGEMENT FIRMS ON QUALITATIVE ISSUES A Research Report presented to The Graduate School of Business University of Cape Town in partial fulfilment of the requirements for the Masters of Business Administration Degree by Katarina Johnsson Cassandra McKeown November 2000 Supervisor: Professor Mike Page

Transcript of DEVELOPMENT OF A SCALE TO ASSESS ASSET...

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DEVELOPMENT OF A SCALE TO ASSESS ASSET

MANAGEMENT FIRMS ON QUALITATIVE ISSUES

A Research Report

presented to

The Graduate School of Business

University of Cape Town

in partial fulfilment

of the requirements for the

Masters of Business Administration Degree

by

Katarina Johnsson

Cassandra McKeown

November 2000

Supervisor: Professor Mike Page

The 2 year confidentiality embargoon this Research Report has expired

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ACKNOWLEDGEMENTS

This report is confidential for two years and may then be used freely by the University of

Cape Town Graduate School of Business.

We would like to thank Mike Page formerly of University of Cape Town, South Africa and

now of Erasmus University, Netherlands for suggesting this direction of our initial topic and

for his outstanding assistance in supervising this project. We were particularly appreciative

of his providing us with invaluable contacts with the Asset Management Industry.

We would also like to thank Professor Trevor Wegner, University of Cape Town for

answering our queries on the statistical methods utilised in the project. As well we would like

to thank Professor Deon Nel, Henley University, United Kingdom and Professor Leyland Pitt,

Perth University, Australia for their insights into the project.

Finally we would like to thank Investec Asset Management Limited for allowing us access to

their employees for interviewing purposes and for the distribution of our questionnaire to

their entire organisation. We would also like to thank Old Mutual for their assistance.

We certify that except as noted above the report is our own work and all references used are

accurately reported by footnotes.

Signed

Katarina Johnsson Cassandra McKeown

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ABSTRACT

This research report presents the development of a measurement scale of qualitative issues

within the asset management industry. Trends in the industry, such as increasing competition

and market effectiveness have generated a need for assessing the differentiation between asset

management firms.

There currently exists no such measure in South Africa as the industry relies on historical

performance data to measure the effectiveness of firms. This is despite market awareness that

this is not an optimal method, as historic performance is no guarantee of future performance.

Having initially conducted a cross-discipline literature review, and interviews with academic

and industry experts, a 120 item multi-dimensional questionnaire construct was generated.

Once the data from the cross-functional survey of the collaborating asset management firm

was collected, advanced statistical methods were applied to purify and refine the scale.

A six dimensional scale of 32 questions was obtained. Evidence of the scale’s reliability,

dimensional distinctiveness and validity were confirmed. The six dimensions identified were:

Indibaniso, Umdla, Indela Yoqoqosho, Ulwandiso, Inxaxheba and Ingqubo (Integration,

Drive, Investment Philosophy, Process, Reward and Involvement).

The report concludes with recommendations of further research in order to ensure the

robustness of the instrument. Further stages of the research are also envisaged in order to

investigate whether there is any correlation between the dimensions identified and the

performance of the organisation.

Key words: Asset Management, measurement scale, performance.

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GLOSSARY

Asset Management

Asset Management Firm Firm that pools investor funds across various financial

instruments.

Funds of Funds Combinations of portfolios across asset management firms.

Fund The pool of cash made up of investor’s contributions and

invested in stocks, bonds and other investments.

Fund Manager The person responsible for running the fund, choosing and

monitoring the investments it makes.

Methodology

Internal consistency The degree to which different questions measure the same

problem or subject.

Psychometrics Applicable statistics for construction and control of

(psychological) tests.

Histogram Graph displaying frequency distribution.

Correlation coefficient Indicates the magnitude of relation between two variables.

Cronbach alpha Measure of internal consistency of a set of items.

Factor loading The weight assigned to a factor by a model in order to

determine the response of an individual to a question.

Multidimensional The property of having more than two dimensions.

STATISTICA A comprehensive, integrated statistical data analysis, graphics,

data base management, and custom application development

system featuring a wide selection of basic and advanced

analytic procedures for science, engineering, business, and data

mining applications.

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TABLE OF CONTENTS

ACKNOWLEDGEMENTS...................................................................................................................................I

ABSTRACT.......................................................................................................................................................... II

GLOSSARY.........................................................................................................................................................III

ASSET MANAGEMENT....................................................................................................................................... III

METHODOLOGY ................................................................................................................................................ III

TABLE OF CONTENTS.................................................................................................................................... IV

1 INTRODUCTION ....................................................................................................................................... 1

1.1 BACKGROUND ........................................................................................................................................... 1

1.2 PROBLEM DEFINITION........................................................................................................................ 2

1.2.1 Introduction to the Issue.................................................................................................................. 2

1.2.2 Significance of the Study ................................................................................................................. 3

2 METHODOLOGY...................................................................................................................................... 4

2.1 GENERAL................................................................................................................................................... 4

2.2 THE STAGES .............................................................................................................................................. 4

3 THEORETICAL DOMAIN ....................................................................................................................... 9

3.1 GENERAL................................................................................................................................................... 9

3.2 FRAMEWORKS ........................................................................................................................................... 9

3.2.1 Organisational Culture ................................................................................................................... 9

3.2.2 Intellectual Capital........................................................................................................................ 10

3.2.3 Scales and Measurements in Related Areas.................................................................................. 11

3.2.4 Link to Performance...................................................................................................................... 12

4 DIMENSIONS AND ITEMS.................................................................................................................... 13

4.1 INTRODUCTION........................................................................................................................................ 13

4.1.1 Fields............................................................................................................................................. 13

4.1.2 Dimensions.................................................................................................................................... 13

4.1.3 Item Generation ............................................................................................................................ 15

4.2 VISION..................................................................................................................................................... 15

4.2.1 Clarity Of Vision ........................................................................................................................... 16

4.2.2 Investment Philosophy................................................................................................................... 17

4.2.3 Employee Involvement................................................................................................................... 17

4.2.4 Fit .................................................................................................................................................. 18

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4.3 COHESIVENESS ........................................................................................................................................ 19

4.3.1 Integration..................................................................................................................................... 21

4.3.2 Team Structure .............................................................................................................................. 21

4.3.3 Warmth.......................................................................................................................................... 22

4.4 PROCESS.................................................................................................................................................. 23

4.4.1 Investment Decision Making Process............................................................................................ 23

4.4.2 Operational Processes .................................................................................................................. 24

4.5 BEARING ................................................................................................................................................. 25

4.5.1 Performance Orientation .............................................................................................................. 25

4.5.2 Reward Systems............................................................................................................................. 26

4.5.3 Drivers .......................................................................................................................................... 27

4.5.4 Attitude .......................................................................................................................................... 29

4.6 COMMUNICATION.................................................................................................................................... 29

4.6.1 Internal Communication ............................................................................................................... 30

4.6.2 Conduciveness of Debate .............................................................................................................. 31

4.6.3 Leadership..................................................................................................................................... 32

4.7 PEOPLE .................................................................................................................................................... 33

4.7.1 Human Resources.......................................................................................................................... 33

4.7.2 Diversity ........................................................................................................................................ 34

4.7.3 Innovation ..................................................................................................................................... 35

4.8 ENVIRONMENT ........................................................................................................................................ 36

4.8.1 External Relationship Orientation ................................................................................................ 36

4.8.2 Customer Relationship .................................................................................................................. 37

4.8.3 Responsiveness.............................................................................................................................. 37

5 STATISTICAL ANALYSIS ..................................................................................................................... 39

5.1 DATA COLLECTION ................................................................................................................................. 39

5.2 SCALE PURIFICATION .............................................................................................................................. 40

5.2.1 Return to Original Dimensions ..................................................................................................... 41

5.3 CONFIRMATION OF SCALE RELIABILITY AND VALIDITY.......................................................................... 43

5.4 INTERPRETATION OF FINDINGS................................................................................................................ 45

5.4.1 Limitations .................................................................................................................................... 48

6 RECOMMENDATIONS FOR FURTHER RESEARCH...................................................................... 50

7 BIBLIOGRAPHY...................................................................................................................................... 51

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1 INTRODUCTION

This research report describes the development of a scale for assessing asset management

firms on qualitative issues. After introducing the reader to the industry, the problem and the

methodology used, conceptualised dimensions with corresponding items are presented. Then

the statistical findings and their interpretation are discussed, and finally the report is

concluded with recommendations for further studies.

1.1 Background

An Asset Management Firm may be defined as a firm that pools investor funds across various

financial instruments, predominantly shares, bonds and cash, so as to take advantage of

economies of scale and experience. In South Africa, before 1990 the asset management

industry was undifferentiated with only a few life insurance companies such as Old Mutual

and Sanlam. In the early 1990’s players such as Investec entered the market changing the

rules of the game, for example by offering customised funds, and for a number of years

outperforming the market. Post 1994 South Africa opened its markets to the international

arena. The increased competition has made the market more efficient though harder to

outperform.

The number of asset management firms in South Africa at present is 34. Total funds under

management in South Africa at the end of 1999 were almost R110 billion (Coleman 2000).

The largest clients consist of pension funds, insurance companies and large global

corporations. These investors are commonly referred to as the institutional or wholesale

market, whereas the smaller private clients are referred to as the retail market. The

management fees, regulatory issues, taxation implications and other aspects differ for the

retail and institutional markets. The large investors, such as corporate pension funds with

funds in excess of R100 million, will have their own customised fund. It is made up of solely

their investments and is often referred to as a segregated fund. The retail market however

tends to invest in unit trusts.

The total number of unit trusts available for investment across the South African firms is

nearly 300. By international comparison South Africa is small with only 300 funds compared

to the United States, with over 10,000 mutual funds, and the United Kingdom with around

1800 funds. There has however been rapid growth in the number and variety of new funds

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with almost 100 new funds created the last year. Funds from which the investor can choose

include; unitised funds, growth funds, bond funds, derivative enhanced funds, socially

responsible funds, indexed funds, and fund of funds. Independent investment committees or

trustees, often in conjunction with the services of benefit consultants, make the choice of

fund.

1.2 PROBLEM DEFINITION

1.2.1 Introduction to the Issue

When choosing which asset management firm to manage their funds potential investors look

predominantly at historic fund performance, as it is easily measured, readily available and no

other meaningful measurement exists. There is however general recognition that past

performance does not necessary infers anything about future performance. “Although

historical performance doesn’t predict the future, it is the only objective measure we have to

go on, so it will remain an important yardstick for choosing funds” (Profile’s Unit Trusts,

2000). The authors further suggest that one should ‘consider other qualitative factors’, such as

stability of management and a fund that meets one’s investment needs.

Larger investors, in addition to assessing past performance, will either directly or through

benefit consultants, use in-depth interviews and questionnaires to investigate asset

management firms. For the institutional client, performance appraisal is part of a regulatory

responsibility and legal duty of care. In the selection appraisal a range of criteria are applied,

such as, due diligence, risk/return trade off and product range. However, although these

decision makers are taking account of qualitative factors, there exists no one standard and

generally accepted benchmark to measure these dimensions against. In South Africa, for more

than 90% of institutional clients, benefit consultants carry out these appraisals. Often

actuaries, benefit consultants are utilised by investors for their superior knowledge of the

market and to ensure an objective decision is made on choice of manager. Multi-management

within the asset management industry is increasing the demand for this type of expertise and

thus the need for improved methods of assessment.

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1.2.2 Significance of the Study

A construct for assessing the qualitative dimensions of an asset management firm will be

utilised by those decision makers making the selection between firms. Despite, and perhaps

due to, technological advances and an exponential growth in information availability most

fund managers are increasingly finding it difficult to beat the market’s financial performance

benchmarks. These factors, combined with competitive pressures both locally and

internationally have led to commoditised, undifferentiated organisations. Hence the growing

need exists to differentiate asset management firms on a range of criteria, rather than solely

relying on indistinguishable financial performance.

We envisage that the primary users of the scale will be benefit consultants and multi-

managers who would utilise it as part of their assessment process. However the asset

management firms themselves could also use the scale construct for their own purposes. They

can concentrate on monitoring and enhancing those dimensions within their business that the

market considers important. Another application could be to alleviate the reliance on costly

use of benefit consultants, especially for the smaller investor.

An extension to this current study will be to take the dimensions identified and investigate the

hypothesis that a correlation exits between the dimensions and superior performance. This

may provide an alternative to the current sub-optimal practice that focuses on past

performance as an indicator of future performance.

It is our hope that the final instrument resulting from the expanded study will become

institutionalised in performance reviews industry wide and ultimately become a standard

selection method for potential investors. It is possible that the measure will not just be used by

institutional investors, but by the retail market as well for fund selection purposes.

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2 METHODOLOGY

2.1 General

The research methodology for developing a scale for assessing asset management firms on

qualitative measures followed a staged approach as outlined below. The process began with a

literature research combined with general interviews with academic staff and industry experts.

Then the focus shifted to more in depth exploratory interviews with experts in asset

management to identify issues specific to the industry. These stages allowed the formulation

of the initial dimensions for our construct. These dimensions were then refined and items

generated for the chosen dimensions.

The questionnaire construct was sent out to all staff at the collaborating asset management

firm. On receiving the data an extensive statistical analysis, including item analysis and factor

analysis, was undertaken. This enabled us to purify the construct by decreasing the number of

items and dimensions and to test the reliability and validity of our construct.

2.2 The Stages

OBJECTIVEDATA

DEVICE

STAGE I

Conceptualisation

To conceptualise a

broad range of

dimensional fields.

Broad ranging

dimensions drawn

from across

disciplines.

Literature review and

general interviews.

STAGE II

Redefine Construct

Domain

To redefine the

identified

dimensional fields.

Expert insights and

opinions on the asset

management

industry.

Exploratory

interviews.

STAGE III

Generation of Items

Select items for the

dimensions

identified.

Approximately 6

items per identified

dimension.

Expansion of

identified

dimensions.

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STAGE IV

Data Collection

To collect scaled

answers to the

questionnaire

developed.

Completed

questionnaire from

representative

sample.

Questionnaire

distributed via e-mail

across functional

areas of collaborating

firm.

STAGE V (a)

Item Analysis

To reduce the

number of items and

to obtain internal

consistency.

Data from above

questionnaire.

Item analysis.

STAGE V (b)

Factor Analysis

To reduce the

number of

dimensions and to

test the validity and

the reliability.

Data from above

questionnaire

purified in Stage V(a).

Factor analysis.

STAGE VI

Reliability and

Validity

To establish the

reliability and

validity of the final

construct.

Data from questions

relevant for purified

scale.

Same as for stage

V(a) and V(b).

Table 1: The Stages.

The stages of our research were as follows:

Stage I: Initial Conceptualisation of the Construct

Stage I involved the definition of the conceptual specification of the construct, i.e. a broad

range of seven potential dimensional fields were identified. This stage entailed literature

reviews as well as general discussions with industry and academic sources across varied

disciplines. It generated many qualitative issues pertinent to the client selection of an asset

management firm.

Stage II: Redefine Domain of the Construct

The range (domain) of potential dimensions of the construct was redefined during this stage

of the research. This included discarding some dimensions whilst adding others. In-depth

exploratory interviews were conducted with experts from the asset management industry, for

their verification of the relevance and prioritisation of the potential dimensions, as well as for

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suggested additions of dimensions unique to the industry. In total eight interviews were

performed with the result that the original seven broad dimensional fields were broken down

into twenty-two separate dimensions.

Exploratory interviews

The interviews consisted largely of open-ended questions. These interviews required a

flexible approach with emphasis on the seeking of explanations, insight and ideas. The

interviewees were selected from across functions within the firm in order to gain a broader

perspective of the relevant issues.

Stage III: Generation of Scale Items

The first step in the development of the questionnaire was to generate a pool of items

(questions) from the dimensions identified. The items were generated from theoretical

frameworks, marketing scales and exploratory interviews. The number of items per dimension

varied from four to six, hence for the 22 dimensions, 120 items were generated. This more

than satisfied the criteria of being approximately 1.5 times as many as are planned for the

final questionnaire (Smit, 1991). The items derived represented the various facets of the

dimensions. In creating the items Oppenheim’s rules of item writing were considered

(Oppenheim, 1965). All questions are close-ended, using Likert-type scale response options,

which is preferred as it provides greater discrimination by allowing ranked response. In the

questionnaire approximately half of the items were formulated positively and half negatively

for optimum response (Churchill, 1979).

Stage IV: Data Collection

The above questionnaire was distributed to all employees at the collaborating asset

management firm across functional areas. Cross-functional testing was chosen so as to

capture the different perspectives of the underlying issues of the whole organisation. For

practical use the questions were divided into 12 parts of 10 questions, each consisting of 1or 2

dimensions, captured into Excel format and sent out via e-mail. Utilising the Excel e-mail

format enhanced the ease of completing the questionnaire. As well the data collection was

more efficient by increasing the response rate, decreasing the response time and facilitating

the data capturing. See Appendix 1 for the questionnaire. It was explained that the process

was anonymous and for research purposes only, hence encouraging uninhibited and honest

responses.

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Stage V (a): Item Analysis

By using item analysis the number of items within the construct can be decreased. The

reliability, or internal consistency, of the items within each dimension can thus be increased.

The assessment of reliability is based on the correlations between the individual items that

make up the dimension, relative to the variance of the items. The first step in item analysis is

to create a correlation matrix to determine those items highly correlated, as this would suggest

that items ask the same question. The second step is to look at internal consistency by

computing the Cronbach alpha coefficient for each dimension. A score of 100% reflects

perfect reliability. An item-to-total correlation is then run, the lowest correlated item is then

removed and the Cronbach alpha of the total dimension is recalculated. This process is

reiterated by removing the lowest correlation each time from the remaining items until the

Cronbach alpha cannot be improved further. The software STATISTICA ’99 Edition by

StatSoft Incorporated has been used.

Stage V (b): Factor Analysis

Factor analysis further purifies the scale construct. Factor analysis is used to remove

redundancies in observations by determining the minimum number of items needed to

account for most of the variance in the total set of variables (Sterling, Pollack 1968). Validity

is the degree to which the variance in the measures is due to variance in the underlying

construct, hence a construct is valid when the difference in observed scores reflects the

differences in the characteristics that the construct is attempting to measure. Factor analysis

extracts the variance as a percent of total variance for the factors, this is referred to as

Eigenvalue. The factors derived from the factor analysis represent dimensions of the construct

and the factor loading is a measure of the validity of the dimensions.

One must avoid considering less significant factors and keep the number of factors small.

Two criteria can be used to determine the number of factors. Firstly, only factors with

Eigenvalues greater than one should be retained. Secondly is to use a scree plot, and to utilise

only those factors points on the curve before it flattens out (Statistica, 1999).

To examine the dimensionality with factor analysis one ‘loads’ the dimensions (factors). In

order to obtain a clear pattern of the loadings, the data is rotated. Within the statistic software

package, Statistica, Varimax rotation is used. This is the most common rotation method and it

is aimed at maximising the variances of the squared normalised factor loadings across

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variables for each factor. It is equivalent to maximising the variances in the columns of the

matrix of the squared normalised factor loadings. Factor loadings of 0.7 roughly correspond

to the 5% significance level. Loadings over 0.5 or 0.6 can be considered high loadings

(Hofstede, 1990). When examining the factor loading matrix a high loading of an item on

several factors implies that the factors are not independent and can therefore be combined.

Factor loading may also suggest the reassignment of certain items to dimensions other than

the original dimension.

Stage VI: Confirmation of Reliability and Validity

The last stage was a final confirmation of the reliability and validity of the final purified scale.

This was to ensure the robustness of the final construct. There are many types of validity from

which to choose. Our research looked at:

!" Content validity - The measure of the consistency of the construct with the theoretical

definition outlined. The items should be representative of what they are trying to

measure and be easy to respond to by avoiding jargon and ambiguity. Also known as

face validity, an instrument has face validity if the sample is appropriate and the items

“look right” (Churchill, 1978).

!" Nomological validity - The degree to which predictions from theory are confirmed.

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3 THEORETICAL DOMAIN

3.1 General

The first stage of defining the theoretical domain of the scale was by a literature review and

general discussions with academics across various disciplines. Many disciplines have

attempted to holistically assess organisations, such as Organisational Behaviour, Human

Resources, Behavioural Psychology and Strategy. The discussion below outlines some of the

frameworks utilised from these disciplines in order to define the theoretic domain of the

study.

3.2 Frameworks

3.2.1 Organisational Culture

Organisational culture can be defined as the pattern of basic assumptions that a given group

has invented, discovered, or developed in learning to cope with its problems of external

adaptation and internal integration. They have worked well enough to be considered valid,

and therefore to be taught to new members as the correct way to perceive, think and feel in

relation to those problems (Schein, 1980). There are numerous measures of organisational

culture, many of which were utilised in the item generation. Some of these measures are

mentioned below.

Measures of Organisational Culture

Hofstede (1990), a study measuring organisational cultures qualitatively and quantitatively

across twenty cases. It concludes that shared perceptions of daily practices are the core of an

organisation’s culture.

Van der Post (1997), the author stated that research on organisational culture has been

characterised by the application of a large number of dimensions defining culture, which

cannot be neatly organised in organisational theory. He has synthesised those dimensions

identified by developing a questionnaire.

Rossiter (1989), the author introduced an approach to assess organisational culture in order to

use the data to improve effectiveness. He identified the following dimensions in order to

generate a ‘winning organisation’; delegation, empowering people, people integrated with

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technology and a shared sense of purpose. He also emphasised the need to integrate the

dimensions holistically.

Bettinger (1989), this study identified twelve dimensions of culture that interact in a variety of

ways namely; attitudes toward change, focus, standards and values, rituals to support values,

concern for people, rewards and punishment, openness, communication and supervision,

conflict resolution, market and customer orientation, excitement, pride and esprit de corps,

commitment and teamwork.

3.2.2 Intellectual Capital

The essence of any company is often its soft assets, intellectual capital (IC) being one of

them. Most current literature breaks IC into three dimensions; human capital, structural or

organisational capital and customer or relationship capital.

Human capital encapsulates the skills and capabilities of the employees that make up the

organisation. Human capital can also be regarded as the accumulated value of the investment

that an organisation makes in its employees training and future development.

Structural capital is the organisation’s capabilities and includes the software networks,

databases, patents and trademarks. It can be seen as the infrastructure within which

intellectual capital operates.

Relationship capital refers to organisational relationships with external stakeholders such as

customers, suppliers and government.

Measures of Intellectual Capital

Value Added Intellectual Capital (VAIC) is a useful model for our purposes, as it has been

tested within financial markets and it has an underlying proposition that intellectual capital

should be reflected in an organisation’s business performance. M. Bornmann of the

Department of International Management at the University of Graz, Austria, conducted a

study of 24 Austrian Banks in which he tested the VAIC method. As part of his study he

compared the external business press rankings of the banks to their VAIC ratios. He found

that the banks that were ranked in the top five positions had high VAIC ratios, whilst the 5

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worst performing banks had poor VAIC ratios. A similar comparison using our developed

scale could be undertaken in the second phase of the broader research.

Celema (The Intangible Assets Monitor) is based on the notion of people as an organisation’s

only profit generators. Human actions are converted into both tangible and intangible

knowledge "structures". These structures are directed outwards (external structures) or

inwards (internal structures). The Intangible Assets Monitor can be integrated in the

management information system.

3.2.3 Scales and Measurements in Related Areas

Service Quality (SERVQUAL) by Parasuraman, Zeithaml and Berry (1986, -88, -91). The

construct measures perceived and expected quality and is the judgement of an entity’s overall

excellence or superiority. SERVQUAL measures 5 dimensions using perception minus

expectation gap scores for: tangibles, reliability, responsiveness, assurance and empathy. The

scale is comprised of two matched sets of 22 items.

A Scale to Measure Excellence in Business (EXCEL) by Sharma, Netemeyer and Mahajan

(1990). Corporate excellence is viewed as those managerial practices and principles that lead

to sustained performance. The scale is a 16-item scale designed to measure eight attributes of

excellence. The 8 attributes are as follows: bias for action, closeness to customers, autonomy

and entrepreneurship, being productive through people, a shared value system, a lean staff,

loose and tight properties i.e. centralisation of core values, and a focus on what is known. The

validity of the scale was measured against financial ratios, stock market performance and

rankings from Fortune magazine.

Organisational Commitment (OCQ) by Mowday, Steers, and Porter (1979). Organisational

commitment is defined as the relative strength of an individual’s identification with, and

involvement in a particular organisation. The 3 dimensions of organisational commitment are

as follows: belief in goals and values of the organisation, willingness to exert effort, desire to

remain in the organisation. The OCQ is composed of 15 Likert-scaled items

Organisational Commitment (OC) by Hunt, Chonko and Wood (1985). Organisational

commitment was defined as a strong desire to remain a member of a particular organisation,

given opportunities to change jobs. OC is a four-item scale to measure the degree of loyalty.

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Incentives to change jobs included higher pay, more freedom, more job status and friendlier

work environment.

Seashore Index of Group Cohesive by Seashore (1954). This index measures group

cohesiveness, defined as attraction to the group or resistance to leaving. The index consists of

three questions and has wide research applications.

The Balanced Scorecard (BSC) by Kaplan and Norton (1992). This concept looked at a

company, not only from the financial perspective, but also from customer, learning and

growth, and internal processes perspectives.

3.2.4 Link to Performance

Many of the dimensions identified through this study have been proved to have links to the

performance of an organisation. This augurs well for the later stages of this research that will

be attempting to show correlation between the dimensions identified and performance of the

firm. There is plenty of evidence that corporate culture can have a significant impact on the

long-term performance of a firm (Rollins, 1993). Of the key factors that contribute to

sustained high performance, none is more important than strong positive corporate culture

(Bettinger, 1989). Other dimensions identified as having a link to performance and discussed

in more detail later include reward systems, drivers, communication and leadership.

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4 DIMENSIONS AND ITEMS

4.1 General

An organisation can be viewed as an open system that continuously interacts with its

environments. An organisation’s efficiency depends on the internal functioning of the

organisation and its success depends on a number of factors (Schein, 1980).

In searching for these factors we used a staged approach as discussed in Section 2 -

Methodology. This section outlines the results of Stages I to III from conceptualising broad

dimensional fields to the generation of items.

4.1.1 Fields

In order to derive our initial broad dimensional fields of qualitative issues within asset

management firms we looked for major recurring themes across the literature review of

different academic disciplines discussed above and from our general interviews. Seven major

qualitative issues were identified.

!" Vision

!" Cohesiveness

!" Process

!" Orientation

!" Communication

!" People

!" External Relations

4.1.2 Dimensions

A series of in-depth exploratory interviews with experts from a range of asset management

firms was then undertaken in order to identify unique dimensions specific to the industry.

There was much overlap with these dimensions and the original broader dimensional fields

identified. These interviews allowed us to redefine and breakdown the original dimensional

fields as follows:

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!" Vision

- Clarity of Vision

- Investment Philosophy

- Employee Involvement

- Fit

!" Cohesiveness

- Integration

- Team Structure

- Warmth

!" Process

- Investment Decision-making Process

- Operational Processes

!" Bearing

- Performance Orientation

- Reward Systems

- Drivers

- Attitude

!" Communication.

- Internal Communication

- Conduciveness to Debate

- Leadership

!" People

- Human Resources

- Diversity

- Innovation

!" External Relations

- External Relations

- Customer Relations

- Responsiveness

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4.1.3 Item Generation

The next stage of the research was to formulate items for each dimension. The items must

reflect the attitude from extreme to extreme (Oppenheim 1966). The range of items generated

varied in number from four to ten. A rationale for particular items is given in the following

discussion.

Some of the items selected, directly utilised questions from well-known scales, see Appendix

2, whilst in other cases the wording of these questions was modified to fit to the environment

of the asset management industry. The remaining items were suggested by our literature

review and interview process.

The following discussion is structured under the headings of the broad dimensional fields,

which are described and then broken down further into sub-dimensions. A definition of the

dimension is given, followed by the items chosen with a rationale for their selection.

4.2 Vision

Vision can be considered a major dimensional field when one defines it in terms of the

expression of the organisation’s reason for existence. All actions and performance of the

organisation can only make sense in the context of this greater macro view of the

organisation. This view is likened to a sense of destiny, a picture of the future you seek to

create, where you want to go and what it will be like when you get there (Senge, 1999).

In attempting to define vision, and when generating the items, one must look at its different

components, such as values, goals and rituals. Values can be defined as guiding symbols of

behaviour that will help move people toward the vision, and goals as a means of making the

purpose real and creating milestones on the way to the vision (Senge, 1999). Rituals are the

repetitive sequence of activities that express and reinforce the key values of the organisation

(Robbins, 1993).

Much of the literature on Change Management refers to the need for creating a shared vision.

Jick’s Ten Commandments for Change include as the first commandment the need to create a

shared vision and common direction (Jick, 1991). This vision must reflect the philosophy and

values of the organisation and help it articulate what it hopes to become. According to Senge

the content of a truly shared vision cannot be dictated - it can only emerge from a coherent

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process of reflection and conversation .The dimension of vision is broken down into the

following sub-dimensions for better understanding.

4.2.1 Clarity of Vision

DEFINITION – The extent to which the organisation has clear objectives and performance

expectations. The goals are articulated clearly and the organisation has sound vision, values,

strategy and ethics.

RATIONALE

Though many organisations may have visions, this vision cannot be achieved unless it is

clearly understood and communicated to all stakeholders. Kotter uses a rule of thumb that

within 5 minutes the vision must be able to be communicated and have created a reaction that

signifies both understanding and interest (Kotter, 1995). A well-communicated vision will

attract to the organisation like-minded employees that share its values.

Also important is the commitment to the vision itself. This is created by not just ensuring the

vision is well defined and understood, but ensuring that it is seen in terms of the personal link

of the individual’s role to the vision. This requires the business rationale to be made known to

all levels, so that they can all appreciate the expected organisational benefits and the personal

ramifications of the vision on their own jobs.

Understanding of vision is enhanced if the vision does not continuously change. It has been

found that companies that enjoy enduring success have a core purpose and core values that

remain fixed while their strategies and practices endlessly adapt to a changing world. It is the

vision that balances this continuity and change. The core vision must be preserved and

aligned to operation activities, and people (Collins, 1999).

The vision message must be incorporated into all daily activities and it is important to

remember that communication comes in both words and deeds, with the latter often the most

powerful form. Finally in order to empower others to act on the vision there is the need to

remove obstacles in the way e.g. hierarchical structures and rewards systems.

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Items of Clarity of Vision dimension

!" Employees in this organisation fully understand the vision of the organisation.

!" The organisation’s vision and objectives do not change.

!" Employees appreciate the implications of all their actions on the overall company goals

and objectives.

!" In this organisation the vision is not clearly defined.

!" This organisation does not have a sound realistic vision.

!" Employees in this organisation have a clear understanding of what its values, ethics and

beliefs are.

4.2.2 Investment Philosophy

DEFINITION - What the organisation wants to achieve and how it will achieve it. The

overriding direction and guidance for the investment decision process.

RATIONALE

In addition to having an overall organisational vision, it is common for asset management

firms to have in place an investment philosophy. It is usual to have separate philosophies for

equity, fixed interest and property portfolios. Common philosophies include growth or value

and top down or bottom up philosophies. Similarly to vision it must be clearly defined and

communicated, set over time yet with some degree of flexibility to substantial change. There

should be no impediments to implementation of the philosophy and divergence from the

philosophy must be minimal.

Items of Investment Philosophy dimension

!" The investment philosophy is implemented with ease by the employees.

!" Divergence from the investment philosophy is common.

!" This organisation has a flexible investment philosophy.

!" The investment philosophy of this organisation are not clearly communicated.

4.2.3 Employee Involvement

DEFINITION - Opportunities exist for all the employees to make a contribution to the

organisation’s goals and objectives.

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RATIONALE

In discussions of shared vision, sharing refers not only to involvement in deriving an

organisation’s vision and goals, but also to an awareness of ones personal contribution to the

achievement of the vision. Again the item questions were phrased so that this issue was

addressed at various levels of vision, from the overall vision to the more specific investment

philosophy of the asset management firm. Kanter, Kotter, Beer et al see this involvement of

employees as integral to gaining the employees’ commitment. In this way commitment is

ensured as all understand the vision and values and believe that the vision is sound and

workable (Beer et al, 1990).

The involvement of all levels of employees across functions is also seen to enhance cohesion,

decision-making and diversity. The decision-making and diversity dimensions are discussed

in more detail later.

Items of Employee Involvement dimension

!" Employees in this organisation do not have a say in the organisations work methods.

!" All employees contribute towards the organisation’s goals.

!" Employees in this organisation are not consulted in respect of decisions regarding the

organisation’s future strategy.

!" In this organisation employees are involved in decisions regarding investment

philosophy.

4.2.4 Fit

DEFINITION – There is identification with organisational rituals, values and beliefs. All

employees have a shared sense of purpose.

RATIONALE

Much of the literature on vision points to the importance of individual employees identifying

with the organisations values and beliefs. It is believed that employees will not be happy or

last within an organisation that has values that are not aligned to their own personal values.

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The previous dimension ‘Clarity of Vision’ asked about the vision itself, however although

related, this dimension attempts to establish the fit of employees to the vision and the extent

to which the vision is shared with their peers. When the fit is good between the individual

and the organisation both benefit, humans are able to do meaningful and satisfying work

while providing the resources the organisation needs to accomplish its mission (Bolman,

1990).

Shared meaning is a collective sense of what is important and why. It is this shared meaning

that binds the organisation together, and can only come from within (Senge, 1999). Sharing

encompasses both the individual sharing personal values with the organisation and with

fellow employees. The core ideology of values and purpose is the ‘glue that holds a company

together’. This sharing of values can occur without jeopardising diversity (Collins, 1999).

Items of Fit dimension

!" There is nothing holding this organisation together and binding its members to one

another.

!" Traditions and rituals are valued in this organisation.

!" Employees identify with their peers.

!" Employees do not experience a sense of belonging to this organisation.

!" All employees in this organisation share its values and philosophies.

4.3 Cohesiveness

Cohesiveness has been defined as the unity and closeness of members within a group (Athos,

1968) and as the degree to which members are attracted to each other and motivated to stay in

the group (Robbins, 1993).

There are many measures of cohesiveness including: cooperative relations, the clarity and

solidarity of the group’s norms, the attitude to achieving the group’s purpose (extent to which

they are willing to do their share and to make personal sacrifices for the good of the group),

group tenure, friendliness, as well as the degree to which members feel free and easy about

expressing their opinions. The determinants of cohesiveness are:

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!" Group characteristics – How individual needs such as for security, belonging and

achievement are matched to the group needs

!" Nature and strength - The greater the degree to which a group satisfies the needs of the

individual members, the greater will be its degree of cohesiveness.

!" Leadership – A leader initiates ideas and provide direction, and fosters harmonious,

friendly relationships among members

!" Environment – A group may become closer on facing hostile external pressures, or where

it is difficult to join the team (Athos, 1968).

Again there appears to be a link between the dimension and performance that may prove

important to later stages of the research. Many studies have shown a positive link between

cohesiveness and productivity (Nel, 1989).

Of further interest is that the link has a positive feedback loop. Hence not only will strong

cohesiveness result in improved performance, but this improved performance will in turn lead

to greater cohesion (Robbins, 1993). This loop can be seen as a history of success reinforcing

commitment to goals.

Cohesiveness

High Low

HighHigh

Productivity

Moderate

Productivity

Perf

orm

ance

Nor

ms

LowLow

productivity

Moderate to low

Productivity

Figure 1: Cohesiveness – Performance Norms Matrix (Source: Robbins, 1993).

The above graph shows that as cohesiveness and performance orientation increases

productivity increases. However it also shows that too much cohesiveness can sometimes

make a group dysfunctional.

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4.3.1 Integration

DEFINITION – The cohesion of individuals and business units within the organisation,

locally and internationally. Includes the co-operation and co-ordination towards achievement

of organisational goals.

RATIONALE

This is a broad reaching dimension that overlaps with many of the other dimensions within

our study. The processes that allow a group to internally integrate itself reflect the major

internal issues that any group deal with: communication, definition of group boundaries,

norms of intimacy and rewards system (Schein, 1992). Integration merits a separate

dimension as the process of how these dimensions all come together, is as important as the

dimensions themselves. It covers the integration of the individuals within an organisation and

their sense of belonging, as well as the integration between work groups.

The integration of an organisation with its external environment will become an increasingly

important issue for the South African asset management industry as many organisations are

now opening foreign offices. The integration with these international offices or alliance

partnerships will be critical to the overall organisation, and adaptation of successful local

integration formula will greatly assist this process.

Items of Integration dimension

!" There is a close working relationship between portfolio manager, portfolio administrator

and client relationship manager.

!" Employees are not often transferred between departments.

!" In this organisation employees do not feel that they are really part of the group.

!" In this organisation support and assistance across work groups and departmental

boundaries is strongly encouraged.

4.3.2 Team Structure

DEFINITION - How all employees work together as teams for the good of the organisation. It

is the degree of consistency and synergies within the teams.

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RATIONALE

A team can be defined as any group of people who need each other to accomplish a result.

This entails a pulling together (Senge, 1999). Teams allow diverse contributions and

perspectives and forge them into an integrated approach (Tjosvold, 1991).

The team orientation of the asset management industry makes the dimension of team structure

particularly important. Industry sources were quoted as saying ‘we firmly believe that

effective teams outperform strong individuals’. However an item has also been selected to test

whether the individuals within the team share this common organisational view.

Consistency of team membership was also tested. It is a qualitative criterion used by many of

the industry’s benefit consultants. A cohesive group will display a longer tenure together than

a non-cohesive group (Athos, 1968) and time spent together is a determinant of cohesive

teams (Robbins, 1993). This is believed to be due to the fact that as teams spend more time

together they discover more interests in common and ‘attractions’ increase.

Items of Team Structure dimension

!" Employees within the team always support the other members of the team.

!" Teams are overemphasised within this organisation.

!" The team operates more efficiently than the sum of the individuals’ efforts.

!" Employees prefer to work individually rather than in teams.

!" There is consistency of membership within the team.

4.3.3 Warmth

DEFINITION - The prevalence of a supportive environment with a friendly atmosphere. A

sense of comfort / stability with job security. Warmth is reflected by social interaction on and

off the job.

RATIONALE

Warmth can be defined as the feeling of good fellowship that prevails in the work group

atmosphere (Van der Post, 1997). The Chambers Dictionary defines warmth as kind-

heartedness and affection. Warmth of an organisation is important for its link to the

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motivation and morale of the individual, and to the organisation’s overall cohesiveness.

Studies have proved that groups are more cohesive when members enjoy being together and

there is friendliness towards one another (Athos, 1968). Social interaction outside of work has

been used as an item to measure this internal friendliness. Security has also been used as a

measure of warmth. The feelings and speed of inclusion, as well as the degree of personal

support, also reflect warmth.

Items of Warmth dimension

!" Employees do not socialise outside the work environment.

!" Employees do not have personal support within the organisation.

!" Employees do not feel secure in their jobs.

!" New employees are immediately made to feel at home.

!" In this organisation all employees feel included in most ways.

!" In this organisation opportunities to develop close friendships exist.

4.4 Process

The dimensional field of process includes the decision-making process and other processes,

such as back office support and IT, which are grouped as operational processes. Intellectual

capital literature refers to this area as structural capital and notes that it is integral to an

organisation. It is also recognised within the asset management industry as an important

dimensional field, especially processes such as compliance.

4.4.1 Investment Decision Making Process

DEFINITION - The degree to which the organisation has a healthy investment decision-

making process, where decisions are based on shared information and all employees take full

ownership and accountability for decisions.

RATIONALE

A decision can be defined as the selection of a proposed course of action (Butler, 1991). The

decision-making process can be both formal and informal. Decisions grow in the topsoil of

formal and informal conversation – sometimes structured, sometimes technical and

sometimes ad hoc (De Geus, 1997). They must involve all members of the team, as without a

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full airing of different points of views, decisions can be disastrous (Tjosvold, 1991). It is the

mix and clash of the discussion that creates new positions not previously considered, as well

as a commitment to the decisions.

The investment decision-making process has been identified as a separate dimension for its

centrality to the asset management industry. The process is generally seen to include the

decisions involving asset and sector allocation, as well as stock selection. The strong team

environment within the asset management industry makes team decision-making a central

issue. There are many advantages to team decision-making including; more complete

information and knowledge, increased diversity of views, increased acceptance of solutions

and increased legitimacy. These advantages however rest on the assumptions that all team

members are involved in the decision (Callahan, 1986).

Important to any decision making process is availability and accessibility of information, and

the full utilisation of this information. Of particular importance to the asset management

industry is that employees understand the implications of their investment decisions,

especially with regards to risk. Related to this risk sensitivity is the notion of ownership and

accountability for the decision made.

Items of Investment Decision Making Process dimension

!" Employees are reluctant to take ownership of their poor decisions.

!" All members of the team are consulted in respect of decisions regarding the investment

decision.

!" All employees make decisions understanding the implications with regard to risk.

!" In this organisation the team, rather than the individual, is accountable.

!" Decisions are made without utilising all available information.

4.4.2 Operational Processes

DEFINITION - The functionality and sophistication of the organisation’s support systems,

such as research capabilities, valuation tools, IT and front, middle and back office.

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RATIONALE

Within the context of the fast changing conditions of financial markets, and in view of the

risks and the large amount of funds involved it is imperative for there to be smooth links

between all processes, so as to avoid costly errors. Having well defined and standardised

processes, as well as technical tools that are well understood and optimally utilised, create

such links. This dimension is very much linked to the above decision-making dimension as

efficient operational processes facilitate better decision-making.

Items of Operational Process dimension

!" Front, middle and back office processes are smoothly linked.

!" Recommendations from the research department are not always followed.

!" All employees fully utilise the potential functions of the technical tools.

!" Operational processes are not well defined and standardised.

!" The organisation’s technical tools are robust to changing market conditions.

4.5 Bearing

The term bearing has been used to describe this dimensional field as it contains dimensions

that give direction and orientation to an organisation’s behaviour. Bearing can be defined as

the sense or awareness of one’s own position or surrounding, or a bodily attitude expressing

character (Chambers, 1996).

4.5.1 Performance Orientation

DEFINITION - The extent to which employees feel a norm of striving towards excellence and

commitment to achieving superior organisational performance.

RATIONALE

Performance orientation is the extent to which emphasis is placed on individual accountability

for clearly defined results and high levels of performance (Van der Post, 1997). It is the extent

to which the company is demanding of employees, expecting high levels of performance from

them, and holding them personally accountable for results (Gordon, 1988).

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Integral to any such orientation is the need for an accurate and fair measurement of

performance. This measurement must be carried out in a consistent and regular manner, and is

often in the form of appraisal systems by management or peers. The asset management

industry is generally accepted as having a very strong performance orientation. Asset

managers compete for business predominantly on the basis of the historic performance of

their funds. Performance in this sense is regarded as the rate of return achieved as measurable

against standard market benchmarks. However one must be aware of the variations in

definitions of ‘good’ performance, as this could include a high, consistent or tax efficient

return as measured against a benchmark, level of risk or inflation (Profile 2000).

Stretch goals are seen as vital to encouraging performance, however although they strive for

excellence, they must appear realistic in order not to demotivate staff (Collins, 1999). Such

goals strive towards excellence whilst tolerating little underperformance. The team norms of

performance are also reflected in the way employees prioritise their work, and how individual

and team accountability for performance are balanced.

Items of Performance Orientation dimension

!" The performance benchmarks used are not good proxies for actual performance.

!" In this organisation individual performance is not recognised within the team

environment.

!" In this organisation the employee priorities work over personal commitments.

!" Poor performance is not tolerated to any degree.

!" The goals that are set in this organisation are tough but realistic.

!" In this organisation it is the norm to strive towards excellence.

4.5.2 Reward Systems

DEFINITION - Extent to which the organisation focuses on reinforcing behaviour that

supports the organisation’s objectives.

RATIONALE

The dimension of reward systems can be seen as a reflection of the above dimension of

performance orientation. Employees in any organisation tend to follow the reward system and

to do things that are rewarded, thus incomplete measurement and rewards results in

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incomplete performance as well (Bettinger, 1989). Evidence consistently shows that financial

incentives are associated with higher performance (Gupta and Shaw, 1998). For reward

systems to be linked to performance the following critical success factors must be present;

control the team or the individual has over its output, clearly measurable performance criteria,

a valid performance measuring system, timorous allocation of rewards, equitable pay criteria,

control over factors that are directly related to the job, simple measurement formula, extensive

communication and consultation and rewards that are valued by the employees concerned

(Human Resources expert: Frank Horwitz, 1998).

In the asset management industry reward is performance based not time based, and it is most

commonly incentivised by either semi-annual or annual bonus payments. Individual bonuses

are paid from a bonus pool reflecting the teams overall performance. Whilst some firms

favour low basic salary and high incentives, others favour the reverse, but whatever the mix it

must be seen as balanced and linked to performance and representative of overall goals.

Finally it is important to appreciate that rewards can take many forms from praise through to

promotion with higher salary.

Items of Reward Systems dimension

!" In this organisation employees are rewarded not for whom they know but for what they

produce.

!" In this organisation the mix between basic salary and performance bonus is balanced.

!" In this organisation there is not a clear link between reward and performance.

!" In this organisation contribution towards the achievement of the organisation's overall

objectives is not rewarded.

!" There is non-monetary recognition of good performance.

4.5.3 Drivers

DEFINITION – Covering a broad spectrum including passion, competitiveness, mutual

respect, work ethics and commitment it can seen as those emotions that drive one to achieve

their best performance.

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RATIONALE

Drivers are those factors that motivate a person to do their best in the performance of their

role and as a contribution towards the successful achievement of the organisations vision. It is

claimed that employees need to see themselves as part of the greater vision working together

to create the best solution. This will foster morale, personal awareness and development

(Tjosvold, 1991).

Different individuals are driven by different drivers, although the culture of an organisation

may espouse certain values that attract employees driven by similar factors. Motivational

theories quote many different drivers and rankings of these drivers. Well-known motivational

theorists investigated for item selection included Maslow and Herzberg (Robbins, 1993;

Senge, 1994; Fielding, 1993). The majority of these studies prove positive correlation of

motivation to productivity. This may have interesting implications for the next stages of this

study that will look for links between the qualitative dimensions identified and overall

performance.

Items were also selected from Seashores Group Cohesiveness Index (Nel, 1989). These

questions are phrased in terms of whether various factors would drive one to change

companies. As the asset management industry is generally perceived to be highly competitive

we also questioned whether this was a driver at the individual level. Another perception

identified from interviews and research, and formulated as an item, was the importance of

employing individuals who are passionate about the industry (Financial Mail, September

2000).

Items of Driver dimension

!" Morale strongly influences job performance.

!" Employees need to be competitive to succeed in this organisation.

!" Employees in this organisation are willing to change companies if the new job offered

was with people who were more friendly.

!" In this organisation employees are passionate about their industry.

!" Employees are strongly committed to the success of the organisation.

!" Employees in this organisation are willing to change companies if the new job offered

more creative freedom.

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!" Employees in this organisation are willing to change companies if the new job offered

more status.

!" Employees in this organisation are driven by strong work ethics.

!" Employees are inspired to do their best for the organisation.

4.5.4 Attitude

DEFINITION – The term here covers various attitudes including; risk appetite, questioning /

challenging, introspection, openness / willingness to listen to suggestions.

RATIONALE

Attitudes reflect how one feels about something (Callahan, 1986). They are evaluative

statements or judgements concerning objects, people or events (Robbins, 1993). Attitudes are

distinguished from values by the fact that they always concern a particular target or object

(Nunnally, 1978). These items were generated to identify what different attitudes are

prevalent within the asset management industry.

Items of Attitude dimension

!" Employees rarely take an introspective view of their behaviour.

!" Employees do learn from their mistakes.

!" This organisation expects employees to behave a certain way.

!" There is no an air of openness and trust in this organisation.

!" In this organisation employees are willing to take personal risks.

4.6 Communication

Communication can be defined as the transference and understanding of meaning (Robbins,

1993) or as the conveyance of the meaning of information (Callahan et al, 1986). Effective

communication is critical to all organisations, and more than qualifies for inclusion as a

dimensional field as it improves the efficiency and commitment of employees, reduces

conflicts and elicits feedback.

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Communication is the key for better performance of an organisation. People spend 70% of

their day communicating, of which 45% is listening (Gerber et al, 1999). This clearly

illustrates why poor communication is one of the most inhibiting forces to successful group

performance (Robbins, 1993).

In organisations a supportive climate allows for open, honest and effective communication. In

order to achieve the supportive climate people need to listen empathetically in order to

capture both the content of messages as well as the emotions expressed (Fielding, 1993).

Communication can flow vertically or laterally. On the vertical level it can flow either

upwards or downwards and on the lateral level it flows between members in the same work

groups, or between personnel horizontally equivalent (Robbins, 1993).

4.6.1 Internal Communication

DEFINITION - The effectiveness of the flow of information vertically as well as laterally

throughout the organisation. The extent to which the information flows freely, is accurate and

undistorted.

RATIONALE

Few things are as important to an organisation as good internal communications. Many of the

other dimensions identified are highly dependent on effective communication skills, such as,

clarity of vision, investment decision-making and integration. Communication is important to

the effectiveness of the organisational information flow. This information flow results in a

shared meaning and common understanding.

The importance of informal communication structures should not be ignored, and may

sometimes prove more effective when barriers to formal communication exist. Many barriers

to effective communication have been identified (Robbins, 1993; Callahan et al, 1986;

Fielding, 1993). They include; hierarchical structures, a lack of understanding of meaning, the

shortening of messages, a filtering of messages at each stage, deliberate distortion,

information overload and insufficient information. Within the asset management industry

large investments are made in technology to ensure speed and accuracy of market information

flows.

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Key communication skills include active listening and feedback skills. Feedback is the final

link in the communication process; it loops the message back into the system as a check

against misunderstanding (Robbins, 1993).

Items of Internal Communication dimension

!" Employees in this organisation do not have well developed communication skills.

!" Information flows quickly through this organisation.

!" In this organisation communication is restricted by hierarchical structures.

!" Knowledge and information is willingly shared within the organisation.

!" Feedback between employees at all levels is not standard practice.

!" Informal communication structures are important in this organisation.

4.6.2 Conduciveness to Debate

DEFINITION - The degree to which the organisation encourages the expression of different

opinions and to what extent a healthy environment for debate exists. Questioning is

encouraged and opinions can be challenged.

RATIONALE

Having an environment that is conducive to employees expressing their opinions, in a manner

that engages debate and allows the team to test the assumptions, is very important for an asset

management firm. Opinions are expected, especially with regards to questioning market

views and investment decisions. According to Thomas Jefferson, third president of the United

States of America, ‘Difference of opinion leads to inquiry and inquiry to truth.’ In the process

of debating opposing views the team delves into issues, searches for information and insights,

and integrates ideas to create solutions responsive to several perspectives (Tjosvold, 1991).

Conduciveness to debate is dependent on a number of factors including effective

communication. It is very much affected by employees being willing to listen to views that

differ from their views. Another important factor is the notion of a supporting climate that

encourages questioning and debate. The organisation must allow forums, formally and

informally, for this debate. Decision-makers need to value their diverse views and confront

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them directly, recognise that their goals are cooperative, and have forums and skills to discuss

their opposing ideas constructively (Tjosvold, 1991).

Items of Conduciveness to Debate dimension

!" In this organisation employees listen to each other’s suggestions.

!" Different opinions of employees in this organisation are not expected.

!" The people in this organisation are not interested in hearing views that do not agree with

their views.

!" Employees are not encouraged to reveal any differences in opinion, with those in

seniority.

!" Employees in this organisation are encouraged to challenge and question market views

and decisions.

!" There is a forum for debate on market views and opinions.

4.6.3 Leadership

DEFINITION - The degree to which management provides a vision with clear

communication, systems and support to their subordinates.

RATIONALE

Leadership is the ability to persuade others to seek defined objectives enthusiastically. It is the

human factor that binds a group together and motivates it toward goals (Davis, 1977). A

leader is one who influences his followers to achieve an objective in a given situation (Athos,

1968). It is therefore important that the leader both communicates the vision and how it is to

be achieved. This is a two-way process with employees and hence the importance for

channels of communication and feedback.

In formulating the dimension and its items questions arose as to difference between a leader

and a manager. The distinction can be made that a manager directs through use of formal

position and authority only, whereas a leader influences through the use of personal power or

informal authority (Callahan, 1986). A leader need not be a manager and a manger need not

be a leader (Athos, 1968).

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There are many different schools of leadership theory. Situational theories of leadership

suggest that what makes a good leader in one situation will not necessarily suit another

situation, and more specifically that the situation of tight teamwork requires a less hands-on

leadership style. Thus according to Fiedler’s Contingency Model of Leadership a strong team

environment, such as is common to the asset management industry, would diminishes the

need for direct leadership (Callahan, 1986).

Again we note a link between the dimension and overall performance of the organisation. The

leader significantly affects the attitudes, behaviour and ultimate performance of individual

workers and is indeed one of the most important influences on organisational performance

(Callahan, 1986).

Items of Leadership dimension

!" The leaders are accessible within this organisation.

!" In this team environment leadership is not important.

!" Employees in this organisation cannot rely on management support when needed.

!" Leadership in this organisation is visionary and clearly show what is important for the

organisations long-term success.

4.7 People

Current organisational theory recognises that organisations are not just entities within

themselves, but that they are made up of people. De Geus refers to the notion of the ‘living

organisation’ (De Geus, 1997).

4.7.1 Human Resources

DEFINITION – The processes through which an optimal fit is achieved among the employee,

job, organisation and environment so that employees reach their desired level of satisfaction

and performance and the organisation meets its goals.

RATIONALE

This recognition of the human element of an organisation can be manifested in many forms,

such as the reward systems, training and development of employees. Organisations must

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believe in the importance and future of their people not just in their ability to perform a

certain task. As part of the ongoing commitment to its people succession mechanisms must be

designed to enhance those parts of the culture that provide identity and distinctive competence

(Schein, 1992).

An interesting perspective is that organisations exist to serve human needs not vice versa,

although there is a mutual relationship where organizations and people need each other

(Bolman, 1990).

Items of Human Resources dimension

!" Ability to perform is the only criterion in hiring new employees.

!" This organisation focuses on training and development of skills.

!" In this organisation employees are not clear about their career path.

!" The executive succession is planned in this organisation.

!" Management believe that its people are of the utmost importance to the company.

!" This organisation does not encourage personal development.

4.7.2 Diversity

DEFINITION - The extent to which the organisation has a diverse mix of employees with

regards to background, skills and experience.

RATIONALE

There are many benefits to diversity including; learning, creativity, flexibility, organisational

and individual growth and the ability of a company to adjust rapidly and successfully to

market changes (Thomas and Ely, 1996). Diverse experiences and efforts help teams to

understand issues more deeply and create innovative solutions to exploit opportunities and

adapt to new realities (Tjosvold, 1991). Cohesion is improved by diversity (De Geus, 1997) as

are many of the other dimensions, such as conduciveness to debate, innovation and

integration.

Diversity is created by recruiting people with different cultures, backgrounds, education,

skills and experience. Redressing the legacies of the past has prioritised the issue in South

Africa; the asset management industry is no exception.

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Items of Diversity dimension

!" This organisation only recruits a particular type of person.

!" This organisation has a balance of employees with experience form different industries.

!" You are not allowed to display your individual characteristics in this organisation.

!" This organisation has employees from many different academic backgrounds.

!" Diversity in the organisation is what brings creativity to the organisation.

4.7.3 Innovation

DEFINITION - Predisposition and environment for the generation of a range of new ideas,

concepts and products.

RATIONALE

Innovation has been defined as the engine that keeps an organisation vital and growing. It

implies an organisational culture that embraces creativity, seeks different perspectives and

risks pursuing new opportunities (Plevel, 1994). This dimension is of particular importance to

the competitive and fast-moving environment of financial markets. Organisations must

continuously and rapidly innovate in order to differentiate themselves in conditions where

financial products quickly become commoditised. The organisation must encourage

innovation and integral to this is for management accept that not all innovations will be

successful. An environment conducive to innovation also provides for all stages of the

innovation process including implementation, not just development.

Items of External Relationship dimension

!" In this organisation employees are always encouraged to search for better ways of

performing tasks.

!" This organisation has an environment conducive to creativity and innovation.

!" This organisation is not seen by the markets as a leader in innovation.

!" If you fail in the process of creating something new, management encourage you to

keep trying.

!" Implementation of innovations is always delayed by organisational constraints.

!" Proprietary tools are developed rather than purchased externally.

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4.8 Environment

An organisation cannot operate in isolation to the outside world but must be responsive to the

external environment. The external environment is often broken down into its components of

political, economic, social and technological environments (Hall and Goodale, 1986).

4.8.1 External Relationship Orientation

DEFINITION - The degree to which the organisation emphasises interaction and alignment

with external stakeholders, such as competitors, suppliers (brokers), international alliances

and regulatory bodies.

RATIONALE

It is important that an organisation has both internal and external focus. It must be conscious

of the forces of the external context within which it operates. Porter’s five forces analysis

recognises the importance to industry of buyers, suppliers and competitors in the form of

current, potential and those producing substitute products (Porter, 1980).

Intellectual Capital models see this interaction with the external environment as integral to the

functioning of an organisation (Dzinkwoski, 2000). It is particularly relevant to the closely

regulated and controlled asset management industry. Also on day to day trading it is

important to have working relationship with competition in order to trade positions and also

useful to exchange market views and ideas. International relationships are especially

important to South African asset management firms in their current drive to move offshore.

Items of External Relationship dimension

!" This organisation does not have strong co-operation with overseas alliances.

!" This organisation has a reputation for a good working relationship with market players.

!" This organisation has a strong reliance on external research.

!" The brand image of this organisation in the market portrays a true picture.

!" All employees agree with the organisation’s strict compliance to regulatory conditions.

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4.8.2 Customer Relationship

DEFINITION - There is a client focus, the team identifies with end users needs and

objectives. Communication with customers, products offered, delivery, their perceptions.

RATIONALE

Although an external relationship, the customer relationship has been made a separate

dimension due to its importance to the success of any organisation. Delivering superior

quality of customer service is a prerequisite for the success of businesses and a way to

differentiate in an environment of intensifying competition and rapid deregulation

(Parasuraman, 1988). This statement is still relevant for the environment the asset

management industry in South Africa finds itself in today. Intellectual capital theory

recognises the importance of the relationship and defines it in terms of customer capital

(Dzinkowski, 2000). Once again there is overlap with the dimension of communication. It is

vital to the understanding and meeting the needs of customers. The client mandate covers

specific needs of asset management customers, however firms must also be trusted and

adaptable to changes in their customers goals.

Items of Customer Relationship dimension

!" This organisation continuously adapts and aligns its goals with the clients’ goals.

!" This organisation does not regularly communicate with the customers.

!" It is of the utmost importance to adhere to the client mandate.

!" In this organisation understanding the needs of the clients is not the main objective.

!" Clients trust employees in this organisation to have their best interests at heart.

!" Employees do not enjoy direct contact with customers.

4.8.3 Responsiveness

DEFINITION - The extent to which there is timeliness of decisions and implementation of

action. The organisation is flexible and adaptable to information flows and changes.

RATIONALE

Globalisation, intensifying world competition, and increasing rates of technological advances

are only some of the trends to which the asset management industry is exposed. In order to

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grow and survive a company must be responsive to such changes. This responsiveness entails

not just making fast decisions but also taking action. There needs to be a timeliness with

which decisions are made, a sense of urgency to get things done and responsiveness to

changes in the market place.

Asset mangers must always be sensitive to risk, but especially so when responding to changes

in the market place. Sensible risk management entails flexibility and the existence of

contingency plans for when something goes wrong. Augustine recommends that organisations

plan for dealing with crises by making plans (Augustine, 1995).

Items of Responsiveness dimension

!" This organisation emphasises fast decisive action.

!" It is not standard practice to plan for contingencies.

!" It is important to this organisation to flexible to market changes.

!" This organisation is not open to change.

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5 STATISTICAL ANALYSIS

5.1 General

The statistical analysis used a staged approach as discussed in Section 2 -Methodology. This

section outlines the results of Stages IV to VI from data collection to the confirmation of scale

reliability and validity.

5.2 Data Collection

The questionnaire was distributed by e-mail to all 120 employees at the collaborating asset

management firm. 64 responses were received within the time allowed which corresponds to a

response rate of 53%. The respondents represented different functional areas, levels of

responsibility and years of experience. See breakdown in tables 2 to 4 below. This data is

presented graphically in Appendix 3.

Function No.

Investment administration 10

Information technology support 21

Business support 3

Human resources 9

Investment – portfolio management 10

Investments – analysis 8

Investments – dealing 3

Table 2: Functional Area.

Level of responsibility No.

Non-managerial position 45

Managerial position 16

Executive position 3

Table 3: Level of Responsibility.

Experience in the Industry No.

less than 1 year 12

1-2 years 11

3-5 years 24

6-9 years 10

10 or more 7

Table 4: Years of Experience.

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5.3 Scale Purification

The first step was to identify questions that asked the same thing and were thus redundant.

The reason for including questions with different shades of meaning was that seemingly

identical statements can provide very different answers and generate a question pool that

provides a better foundation for the final measure. The criterion for eliminating questions on

this basis was a correlation between two similar questions exceeding 0.70. Having calculated

the correlations, three questions were eliminated on this basis so that the number of items was

reduced from 120 to 117.

The next stage (Stage V(a)) consisted of a reiterative process of item analysis to further

reduce the number of items. In item analysis it is argued that items with the highest

correlation to the total item score will most likely become the final items, thus one begins the

process by removing the items with low correlations. A rule of thumb is to retain items with

greater than 0.50 item-to-total correlation (Bearden et al, 1996). In order to do this the total

item score must first be computed, which is the score of all items within the dimension. It is

also referred to as the Cronbach coefficient alpha. The Cronbach alphas ranged from 0.299 to

0.860 across the 22 dimensions and suggested that deletion of certain items from each

dimension would increase the alpha values. According to Nunnally (1979) the Cronbach

alpha should be greater than 0.70 for the measurement to have internal consistency, although

others suggest that greater than 0.60 is sufficient (Bearden, 1996). On deletion of a low

correlation item the alpha values and item-to-total correlations were recomputed. This process

was repeated until the Cronbach alpha ceased to improve. The final result was 86 variables

with an improved alpha range from 0.450 to 0.870.

Stage V(b) entailed a factor analysis on the now reduced item set. By defining Eigenvalues

above 1.0, the analysis identified 21 factors. These factors explained 78.7% of the total

variance, however the composition of the items within these 21 dimensions was completely

different to the composition of the original 22 dimensions hypothesised. The loading matrix

Appendix 5 showed that several of the items had high loadings on more than one factor,

implying that the factors were not independent of one another. The loading matrix was then

rotated using normalised varimax rotation, however the items still loaded to more than one

factor, and thus no distinct factors could be identified.

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Overlap between the 22 dimensions was expected, and in order to evaluate the dimensionality

a scree plot of Eigenvalues was run. The graph suggested the existence of 6 factors, see figure

2. As the original theoretical domain was made up of seven dimensional fields that we had

classified into 22 dimensions, it was decided to return to these seven broad dimensions to

rerun the item and factor analysis.

Plot of Eigenvalues

Number of Eigenvalues

Va

lue

0

5

10

15

20

25

30

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21

Figure 2: Scree Plot

5.3.1 Return to Original Dimensions

Cronbach alphas were computed for each of the seven dimensional fields. Before beginning

the item analysis reiterations the Cronbach alphas generated ranged form 0.655 to 0.869. The

deletion process of items with low item-to-total correlation resulted in a 72-item questionnaire

with an improved alpha range from 0.684 to 0.891.

The reduced set of questions was then factor analysed with the number of factors again

restricted to factors with Eigenvalues in excess of 1.0 in order to keep the number of factors

small. The number of factors that resulted was six and the percentage of variance explained

by the 6 factors was 63%. The amount of variance explained should exceed 0.50 in order for

the scale to have internal stability (Bearden, 1996). However, although not as many as

previously, several items still had high to moderate factor loadings on more than one factor.

As some items had high loadings on factors to which they were not originally assigned, it

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suggested reassignment as part of the reiterative process of item-to-total correlation and factor

analysis.

The reiterative process finally resulted in an instrument consisting of 32 questions in 6

dimensions; Integration, Drive, Investment Philosophy, Stretch, Contribution and Process. For

ease of viewing only factor loadings above 0.20 are presented in table 5 below; see full matrix

in Appendix 4. The loading criterion was to retain items with a primary loading above 0.50.

Where items loaded on another factor, this secondary loading was ignored if below 0.40,

otherwise reiteration was continued.

Factor loadings matrix (varimax normalised) for the 32-item questionnaire.

Factor loadings in excess of 0.2 in absolute magnitude are presented.

Extraction: Principal components

Factor 1 Factor 2 Factor 3 Factor 4 Factor 5 Factor 6

P12Q7 0.812 0.209

P12Q4 0.811 0.210

P5Q6 0.774

P12Q8 0.766 0.291

P4Q6 0.708 0.314

P6Q9 0.647 0.237 0.203

P6Q4 0.623 0.202 0.417

P8Q9 0.618 0.379

P5Q8 0.592 0.287

P10Q9 0.812

P9Q5 0.786 0.225

P11Q7 0.772 0.371

P11Q10 0.768

P10Q5 0.236 0.738

P9Q2 0.704 0.245 0.406

P11Q8 0.669 0.240

P11Q5 0.647 0.351 0.313

P11Q6 0.591

P7Q5 0.809 0.252

P7Q2 0.800 0.243

P7Q4 0.296 0.740

P2Q8 0.223 0.764

P2Q6 0.207 0.667 0.443

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P1Q10 0.218 0.617 0.244

P2Q5 0.303 0.548 0.388

P5Q1 0.210 0.671 0.206

P6Q1 0.311 0.669

P6Q5 0.312 0.392 0.625

P5Q2 0.372 0.363 0.480

P1Q9 0.805

P1Q6 0.242 0.218 0.629

P1Q5 0.356 0.213 0.623

Expl.Var 5.300 5.561 2.421 2.377 2.951 1.967

Prp.Totl 0.1656369 0.1737903 0.075653 0.0742781 0.0922059 0.0614713

Table 5: Factor loadings of refined questionnaire.

The Eigenvalues for the refined questionnaires are summarised below.

Eigenvalues for the 32-item questionnaire.

Eigenvalue % total

Variance

Cumul.

Eigenvalue

Cumul.

%

Factor 1 10.07 31.48 10.07 31.48

Factor 2 3.59 11.22 13.67 42.71

Factor 3 2.44 7.64 16.11 50.34

Factor 4 1.70 5.30 17.81 55.64

Factor 5 1.48 4.64 19.29 60.28

Factor 6 1.29 4.02 20.58 64.30

Table 6: Eigenvalues for refined questionnaire.

5.4 Confirmation of Scale Reliability and Validity

Lastly in Stage VI the final scale of 32 items across 6 dimensions is tested for reliability and

validity. The item-to-total correlation for each of the dimensions was computed resulting in

Cronbach alpha values in a range from 0.624 to 0.906; see Appendix 6. For each of the

dimensions the mean score, standard deviation, alpha values and the average inter-item

correlation are listed in table 8.

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Dim-

ension

Mean

Score

Standard

deviation

Cronbach

alpha

Standardised

alpha

Average

inter-item

correlation

Items

146.42 8.72 0.906 0.907 0.527 P12Q7, P12Q4,

P5Q6, P12Q8,

P4Q6, P6Q9,

P6Q4, P8Q9,

P5Q8

2 38.56 10.00 0.905 0.906 0.521 P10Q9, P9Q5,

P11Q7, P11Q10,

P10Q5, P9Q2,

P11Q8, P11Q5,

P11Q6

3 12.28 3.12 0.790 0.795 0.565 P7Q5, P7Q2,

P7Q4

4 17.44 4.37 0.741 0.737 0.418 P2Q8, P2Q6,

P1Q10, P2Q5

5 18.80 4.42 0.776 0.768 0.457 P5Q1, P6Q1,

P6Q5, P5Q2

6 12.91 3.58 0.624 0.633 0.367 P1Q9, P1Q5,

P1Q6,

Table 7: Summarised characteristics of refined scale.

The high alpha values indicate good internal consistency among items within each dimension.

Dimensional distinctiveness suggested by the factor analysis, table 5, is further supported by

the low positive and negative inter-factor correlation in table 8.

Inter-factor correlation

FACTOR 1 FACTOR 2 FACTOR 3 FACTOR 4 FACTOR 5 FACTOR 6

FACTOR 1 1.000 -0.405 -0.409 -0.027 -0.047 -0.302

FACTOR 2 -0.405 1.000 -0.122 -0.290 -0.181 -0.264

FACTOR 3 -0.409 -0.122 1.000 -0.247 -0.040 0.032

FACTOR 4 -0.027 -0.290 -0.247 1.000 0.022 -0.066

FACTOR 5 -0.047 -0.181 -0.040 0.022 1.000 -0.070

FACTOR 6 -0.302 -0.264 0.032 -0.066 -0.070 1.000

Table 8: Inter-factor correlation refined questionnaire.

The statistical analysis shows that the amount of variance captured by the instrument is 0.64,

which exceeds 0.50, the Cronbach alpha values are 0.624 to 0.906, which is above 0.60, and

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the item-to-total correlation with the exception for three items above 0.50. Therefore the

refined instrument displays high levels of internal consistency.

5.5 Interpretation

Although the item and factor analysis resulted in 6 dimensions the items within these

dimensions were quite different from those in the initial 7 dimensions identified in the early

stages of the study. For this reason we have reclassified the dimensions, to now stand as:

Integration, Drive, Investment Philosophy, Stretch, Contribution and Process. Furthermore in

appreciation of the unique South African context in which this study has taken place, and in

order to capture the sense of the dimension and not limit the meaning to a preconceived

English definition, we have also given the dimensions Xhosa titles. These translated into:

Indibaniso, Umdla, Indela Yoqoqosho, Ulwandiso, Inxaxheba and Ingqubo. Note that these

six dimensions are listed in order of importance, i.e. those factors explaining most of the

variance. The items within the dimensions are also ranked in the following tables to reflect the

highest factor loading.

INTEGRATION / INDIBANISO

P12Q7 New employees are immediately made to feel at home.

P12Q4 This organisation has a friendly, congenial atmosphere.

P5Q6 Information flows quickly through this organisation.

P12Q8 In this organisation all employees feel included in most ways.

P4Q6 Employees within the team always support the other members of the team.

P6Q9 Employees in this organisation cannot rely on management support when needed.

P6Q4 In this organisation employees listen to each other’s suggestions.

P8Q9 In this organisation employees do not feel that they are really part of the group.

P5Q8 Knowledge and information is willingly shared within the organisation.

INTEGRATION / INDIBANISO - The extent to which the organisation displays integration

in the form of supportive teams, cohesiveness and effective communication.

This new dimension includes items from all the dimensions under the initial broad

dimensional fields of cohesiveness and communication. These were respectively integration,

team structure, warmth as well as internal communication, conduciveness to debate and

leadership. As discussed previously this link between cohesiveness and communication is

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well recognised. The relationship is one of a positive feedback loop where greater

cohesiveness creates better communication, which in turn then creates greater cohesiveness

and so on.

DRIVE / UMDLA

P10Q9 Employees are inspired to do their best for the organisation.

P9Q5 Clients trust employees in this organisation to have their best interests at heart.

P11Q7 In this organisation employees are always encouraged to search for better ways of

performing tasks.

P11Q10 Employees in this organisation are encouraged to use their own initiative in doing

their jobs.

P10Q5 Employees are strongly committed to the success of the organisation.

P9Q2 This organisation does not regularly communicate with its customers.

P11Q8 This organisation has an environment conducive to creativity and innovation.

P11Q5 This organisation does not have a sound realistic vision.

P11Q6 Employees in this organisation have a clear understanding of what its values,

ethics and beliefs are.

DRIVE / UMDLA - The manner and degree to which an organisation’s people are driven

towards the successful achievement of its vision and goals.

This is more than just achieving set goals and visions, but also the pursuit of excellence by

striving to exceed expectations. The link to customers is believed to be due to the fact that

satisfaction of customer needs is an integral part of the vision of asset management firms

today. The innovation link can also be explained by the drive to stay abreast of changes in

technology in order to satisfy customer needs for up to date financial products.

INVESTMENT PHILOSOPY / INDLELA YOQOQOSHO

P7Q5 The performance benchmarks used are not good proxies for actual performance.

P7Q2 Divergence from the investment philosophy is common.

P7Q4 The investment philosophy of this organisation is not clearly communicated.

INVESTMENT PHILOSOPHY / INDLELA YOQOQOSHO - The extent to which the

investment philosophy in the asset management firm provides direction.

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As the investment philosophy is so central to an asset management firm it was always

expected to be one of the final dimensions. It is as critical to having a vision, but on a more

industry-specific level. As with a vision it is important that the philosophy is well

communicated. This enhances understanding and commitment to the philosophy. To further

improve understanding and commitment it needs to be steadfast, and only change when

changes in the environment make it no longer feasible. The link to a performance item is also

not surprising, as the main aim of the investment philosophy is most usually the optimisation

of performance.

STRETCH / ULWANDISO

P2Q8 In this organisation there is not a clear link between reward and performance.

P2Q6 In this organisation employees are rewarded not for whom they know but for

what they produce.

P1Q10 The organisation’s technical tools are robust to changing market conditions.

P2Q5 All employees in this organisation share its values and philosophies.

STRETCH / ULWANDISO – The degree to which the organisation is equipped to

successfully follow and utilise changes in the marketplace.

It is important that all employees share values and philosophies in order for the organisation

to be successful within an environment of continuous change. This outlook can be encouraged

by a reward system that recognises this adaptability. It is also important that technical tools

can be stretched to accommodate these changing conditions.

CONTRIBUTION / INXAXHEBA

P5Q1 Employees in this organisation do not have a say in the organisation's work

methods.

P6Q1 Different opinions of employees in this organisation are not expected.

P6Q5 Employees are not encouraged to reveal any differences of opinion with those in

seniority.

P5Q2 All employees contribute towards the organisations goals.

CONTRIBUTION / INXAXHEBA – The extent to which all employee contributes towards

the organisations goals.

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This dimension also refers to contribution in the sense that it includes the input of all

employees' views, opinions and feedback on all levels of issues from minor work methods to

visionary goals.

PROCESS / INGQUBO

P1Q9 Operational processes are not well defined and standardised.

P1Q6 Front, middle and back office processes are smoothly linked.

P1Q5 Decisions are made without utilising all available information.

PROCESS / INGQUBO – The degree to which processes are disciplined and efficiently run.

This dimension surfaced strongly in interviews with industry experts and was also always

expected to become one of the final dimensions. The items for this dimension were included

in the original dimensions of operational process and decision-making process. Smooth,

standardised processes are important in the fast-moving environment of financial markets.

Decisions making must be rapid, informed and fast, as the costs of mistakes or delay are high

in such markets.

Some interesting findings include that the dimension of integration contains three of the four

items with high loadings generated from the original dimension warmth. In the initial stages

of the research it was not believed that this dimension would be one of the most highly

ranked. This was especially so as the asset management firm from which the data was

collected is known for its strong performance orientation, which in many organisations can

override personal concern for employees as people. Secondly, no correlation was found

between the performance and the reward dimensions, in contrast to many findings we came

across in our literature review. Nevertheless it is considered that overall predictions from

theory were confirmed, thus the nomological validity of the construct is satisfactory. In

conclusion the analysis has generated results sufficient to conclude that the instrument is

ready for the next stages of testing.

5.5.1 Limitations

It must be recognised that this study encompasses only the preliminary stages of an extended,

longer-term study. Thus we were limited to the initial stages of data collection and testing.

Furthermore, factor analysis generally requires the number of cases to be much larger that the

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number of variables, although no allowable limit has ever been stated (Hofstede, 1990). In

relation to the initial number of questions this requirement was not fulfilled due to the

limitation of the maximum number of cases that could have been obtained from the chosen

population size.

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6 RECOMMENDATIONS FOR FURTHER RESEARCH

This research report has produced a 32-item scale for assessing asset management firms on

qualitative issues.

Firstly, it is recommended that in order to further evaluate the instrument and its psychometric

properties, data should be collected from a variety of asset management firms and analysed

separately. This cross-validation will evaluate the robustness of the scale. It will also

overcome the limitation of bias generated by utilising data from only one asset management

firm.

Secondly, now that 6 dimensions have been identified, the instrument should be compared to

other scales that measures these or conceptually related variables. It may prove difficult to

source such scales, as few exist let alone within the asset management industry. This lack of

scales was one of the original motivations behind our study.

When the instrument’s robustness is considered sufficient, a longitudinal study should be

carried out to investigate the developed instrument’s accuracy in predicting future

performance of an organisation. This would test whether the dimensions of the scale construct

can be correlated to performance and may verify the hypothesis that future returns can be

better explained by the dimensions proposed, rather than solely by past performance. This

further research suggestion was envisaged at the outset of this study.

In collecting the data for our study we classified the respondees by area of activity, level of

responsibility, years employed at the firm and years worked in the industry. This breakdown

will allow further studies on the developed scale in terms of whether results vary if employee

data is stratified by these classifications.

Finally the data captured by the 120-item questionnaire provides a comprehensive database of

information regarding the collaborating asset management firm and can be utilised internally

by the firm with various different aims.

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7 BIBLIOGRAPHY

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