User-Centred Change Shaping Corporate Transformation with Participatory Design … ·...
Transcript of User-Centred Change Shaping Corporate Transformation with Participatory Design … ·...
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
1
User-Centred Change – Shaping Corporate
Transformation with Participatory Design Tools
Angelika Trübswetter*
YOUSE GmbH, Florastraße 47, 10317 Berlin, Germany.
E-mail: [email protected]
Annabel Zettl
YOUSE GmbH, Theresienhöhe 1, 80339 München, Germany.
E-mail: [email protected]
Sebastian Glende
YOUSE GmbH, Florastraße 47, 10317 Berlin, Germany.
E-mail: [email protected]
* Corresponding author
Abstract: Digital transformation and automation come along with different
challenges for corporations. Change processes, like a new agile environment or
automation (e.g. human-machine-collaboration) are necessary and have a
particularly strong impact on the interactive work in companies. It is often
observed that within this change processes, companies have a one-sided focus
on technological aspects, while neglecting human factors; although it is well-
known that low acceptance among employees can lead to much higher cost of
change than originally expected. This contribution suggests, that during change
processes in socio-technical systems employees and executives should be at the
centre of attention, in order to safeguard the trust and acceptance of everyone
involved and to promote the will to change. Therefore we present the three
basic principles of ‘User-Centred Change’: ‘genuine participation’, ‘tangible
experiences’ and ‘agility and iterations’, for ensuring a successful, user-centred
transformation process.
Keywords: user-centred change; transformation; design methods; participation;
experience-based tools; agile; change management; industry 4.0; digitalization
1 Introduction: Digital challenges for corporations
Digitalization is the key to the fourth industrial revolution, on the verge of industry 4.0.
Central to this age are networks composed of intelligent systems (entirely integrated
vertically and horizontally), operating in real time, connecting humans, objects and IT-
systems (Bauer et al., 2013; Ganschar et al., 2013). Digital change and (partial)
automation come along with different challenges for corporations: traditional, rigid
organizational strategies are reaching their limits in an agile, digitized world. Such
transformation processes, like a new agile environment or automation (e.g. human-
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
2
machine-collaboration), have a particularly strong impact on the interactive work in the
company and bring about a change in the internal social interaction.
External factors, such as globalization and digitalization, not only challenge
employees and management, they also entail considerable investment costs. Low
acceptance among employees can lead to much higher cost of change than originally
expected. It often happens that companies have a one-sided focus on technological
aspects, while neglecting human factors (Lorenzi & Riley, 2000). Therefore, tools are
needed to support employees and management personnel for facing these changes and for
shaping the work of the future.
Innovation management methods, like Design Thinking, already offer first answers and
orientation for dealing with these new challenges. But preciesely how can corporate
transformation in the context of digitization and industry 4.0 be shaped? What can
companies do to ensure employees’ acceptance of transformation processes? In the
following paper, we will present an approach for the enhancement of existing change
models and established change management processes in companies, complementing
them with an all-purpose user-centred perspective. During transformation processes in
socio-technical systems, employees and executives will have to be at the centre of
attention, in order to safeguard the trust and acceptance of everyone involved and to
promote the will to change.
This contribution suggests the three basic principles of ‘User-Centred Change’ (UCC)
that ensure a successful, user-centred transformation process: ‘genuine participation’,
‘tangible experiences’ and ‘agility and iterations’.
2 Theoretical background: Socio-Technical Systems, Participatory Change
and Technology Acceptance Models
The basic principles of User-Centred Change, presented in this paper, relate to three
scientific concepts: Socio-Technical Systems, Participatory Change and Technology
Acceptance Models. These basic principles suggested here, are supposed to contribute to
a further development of these theoretical research areas.
Socio-Technical Systems
A socio-technical understanding of digitalization enables the consideration of the
interaction between social and technical components of work systems in organizations
(Emery, 1959; Ulich, 1998). Furthermore, it enables a reflection on the interdependence
of humans, technology and organisation (Ulich, 1998). Only if the technical,
organizational and psycho-social dimensions are equally being taken into account, one
can see the extent of the challenges companies have to face in the course of
transformation processes (Krallmann & Sivri, 2016).
Nevertheless, socio-technical systems do not function autonomously, but are the
outcome of the activities of human actors. Human actors are members of social groups,
which share certain characteristics (e.g. certain roles, responsibilities, norms, perceptions)
(Geels, 2004). With industry 4.0, human beings turn into fully integrated participants in a
socio-technical system. Machines, for example, are no longer deployed in separate
production cells. Presently, they are working hand-in-hand with human actors and will
increasingly do so in the future. But integrating organizational development and
technological intervention into a larger system is one of the more difficult tasks for an
executive. Organizations are profoundly affected by technological advancements and
require a flexible, customized change model to fit the social network of the specific
organization into which technology is being introduced. (Tach & Woodmann, 1994)
Today and in the future, work accordingly takes effect in socio-technological systems
and demands social interaction: leadership, communication and corporate culture can be
regarded as elements of this socio-technical system (Maucher & Rudlof, 2002).
Especially executives are being assigned an important role during digitalization: as
change managers they are supposed to recognize innovations and potentials, they have to
assess possible risks, need to be courageous and assertive and they also need the ability to
integrate, inform and motivate employees.
The traditional, rigid organizational strategies are reaching their limits in an agile,
digitized world. New working time models and organizational forms in flexible matrix
structures will have to support the new management processes, cultures and
responsibilities (Bastian et al., 2017). Such an agile environment especially affects the
company’s interactive work and leads to change of the internal social interaction (Bastian
et al., 2017; Bauer & Zitzelsberger, 2017). New communication structures and an
increase in transparency alter the flow of information, access to knowledge and latitude –
e.g. when employees get access to information formerly only available to managers. This
awards many opportunities, but can also lead management personnel to perceive a loss of
control. Therefore, managers have to open up to new styles of leadership, in order to
fulfil the changing demands.
Participatory Change Management
Much can be learned from organizational change research. A literature review reveals the
importance of understanding, integrating and supporting the people affected by
transformation (e.g. Bordia et al., 2003; Lorenzi & Riley, 2000; Nesterkin, 2013).
Lorenzi and Riley (2000) point out the frequent problem, that those who design and
implement a new system do not perceive it as a major alteration, while operators do.
Thus, the result is a one-sided focus on technological aspects, while human factors are
being neglected. Kotter (2001) also emphasizes this aspect:
‘One of the reasons, why some organizations have problems with adaptation to
the rapid market or technological changes is, that many people in these
organizations feel relatively helpless’ (p. 90).
First answers to how companies can deal with change processes can be found in the
literature on organizational change management. Here, a variety of different approaches
and models are assembled. Unfortunately most of them don’t give a specific answer to
this helplessness or even the resistance to digital change that can build up. Instead, they
focus on participatory change management, i.e. approaches implying a ‘direct
participation of employees in processes of change or transformation’ (Rosemann &
Gleser, 1999, p. 134). The explicit differentiation between ‚Change Management‘ and
‚Partizipatory Change Management‘ illustrates well, that participation doesn’t seem to
get the same amount of focuse in all of the existing ‚Change-Models‘, often little
particitipative and activiating methods are utilized.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
4
In the context of transformation processes, participation plays an important role: if
members of an organization – primarily employees in this case – are allowed to
participate in transformation processes from the beginning, the support for planned
changes increases (Coyle-Shapiro, 1999). With reference to Cameron and Green (2007)
participation and psychological support of the organizational members are important
strategies for the success of organizational change. According to Steinmann and
Schreyögg (2005), the first of the ‘golden rules’ for successful organizational change is
active participation on the implementation of changes, i.e. participation in decisions,
regarding the change and sufficient information about the reasons for the upcoming
change. In addition, Kieser et al. (1998, p. 218) emphasize: ‘there is a large consistency,
that inclusion of employees is one of the most important success factors of change and of
the implementation of new organizational concepts’. Most of the time, the debates on co-
management and employee participation are ideologically charged (Kubicek & Hagen,
1999) and the concept of participation is used as a ´battle concept´ (Wächter, 1984) by
various interest groups. In reality the comprehensive inclusion of employees is a
laborious, strenuous and most of all unpredictable process.
The uncertainty about the outcome of such an involvement might be one of the main
reasons for the circumstance that ‘participation’ and ‘interaction’, to this day, are hardly
more than mere marketing buzzwords. Further factors challenging ‚genuine’ participation
are employees’ distrust concerning the company, a lack in communication and
intransparencies between management and employees (Domsch & Reineke, 1982).
Therefore, it comes as no surprise, that communication on change and support of
employees are are two decisive factors for a successful transformation (Gardner & Jones,
1999; Goodman & Truss, 2004). There is consent that strategic employee communication
is a key ingredient to successful organizational change. Not only can it provide an
analytical tool to assess and improve employee communication, strategic communication
can also facilitate a change by aligning employees with the new direction of an
organization (Barrett, 2002).
Despite research pointing to the assessment of the communication efforts as being
crucial (Cheney et al., 2011; Barret, 2002; Mills et al., 2009) and the involvement of
employees in the decision-making process as being a facilitative factor, many
organizations neglect such implications (Blaschke, 2008; Goodman & Truss, 2004) and
introduce programmed, rather than adaptive, organizational changes, which involve one-
way, rather than two-way communication (Cheney et al., 2011).
Technology Acceptance
‘Acceptance’ is defined very heterogeneously. Commonly, two different dimensions of
acceptance are assumed: an attitudinal and a behavioural dimension (Schäfer & Keppler,
2013). Many studies in technology acceptance research (TAR) solely focus on the
intention to use a system and the actual use. Yet, Brown et al. (2002) indicate that there is
a difference between voluntary contexts, where users have volitional control over their
decisions to use a system, and mandatory contexts like work, where users are forced to
use a system, regardless of whether they like it or not. Therefore, in mandatory contexts,
user behaviour or intentions are not adequate indicators of acceptance. Instead, the
attitude towards using a system needs to be directly investigated as it reflects users’
actual satisfaction level. According to Schäfer and Keppler (2013), acceptance results
from a process of perception, evaluation and decision with three components having a
determinable influence: A subject, which might be an individual or collective, accepts a
certain object, which might be a physical artefact or an abstract construct like an idea,
within a given context, which refers to all external factors, like social and cultural
preconditions.
Associated with these three components are factors that might affect acceptance:
individual-related factors like age or personality, technology-related factors like
appearance or usability and context-related factors like implementation strategies or
social influences (Schäfer & Keppler, 2013). Generally, acceptance is highly individual,
which implies that the same object within the same environment might lead to very
different attitudes and behaviours. Moreover, acceptance is unstable, i.e. it can vary from
one moment to another (Schäfer & Keppler, 2013).
The technology acceptance model (TAM) (Davis, 1989; Davis et al., 1989), which
originated from TAR and sought to explain ICT (Information and Communication
Technology) use in the organizational context, is one of the most prominent and
replicated models. It claims that the intention to use a technology is determined by two
major factors: perceived usefulness, which is ‘the degree to which a person believes that
using a particular system would enhance his or her job performance’ (Davis, 1989, p.
320) and perceived ease of use, which is ‘the degree to which a person believes that using
a particular system would be free from effort’ (Davis, 1989, p. 320). However, simplicity
is also the most controversial aspect, since the model is evidently insufficient in regards
to other substantial factors like group, social and cultural aspects (Bagozzi, 2007).
Particularly in the context of digitalization and industry 4.0 the established models,
sketched above, reach their limits, because the work environment sets a non-voluntary
context of use. On this backdrop, acceptance can’t be ‘obtained’, but is based on trust in
technology and the use of technology. In turn, employees’ trust – especially where
technology perceived as risky is involved – is primarily based on emotional assessment
(Beer et al., 2011) and the lack of experience in dealing with new technologies. Usability
and the perceived usefulness are not the only factors relevant for digitalization and
industry 4.0. The discomfort associated with the use of technology also has to be taken
into account. Therefor the management of corportate digitalization processes is not only
about ensuring employees’ technology acceptance, but also about strengtening innovation
culture of the corporation.
3 Methodology: ´User-Centred Change´ by YOUSE
The approach developed by YOUSE addresses transformation processes in socio-
technical systems in the context of digitalization and industry 4.0 and aims to ensure the
adaptability of organizations. The changing demands on communication, collaboration
and management can only be met by the incorporation of a high level of adaptability. The
approach presented in this paper enhances existing change management models –
following the User-Centred Design concept1 – in order to promote a user-centred
perspective. This perspective focuses on employees and management in socio-technical
1 User-Centred Design, following DIN EN ISO 9241-210, is an established approach for the human-centred
development of products and services, aiming at higher ‘effectiveness and efficiency’, ‘accessibility and
sustainability’, ‘human well-being’ and ‘customer satisfaction’ (DIN, 2006).
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
6
systems in the course of transformation processes. It ensures trust and acceptance of all
participants as well as the will to change. The basic principles (see figure 1) consist of:
1. ´genuine´participation
2. ´tangible´ experiences
3. ´agility and iterations .́
The characteristic of this approach lies in the new user-centred outlook on transformation
processes in companies and the applied user-centred methods that lead to improved
collaborative acceptance of all actors involved and guarantee the lasting success of
change processes.
Figure 1 The YOUSE ´User-Centred Change´ approach (YOUSE, 2018).
As mentioned before, employees’ strong collaborative acceptance – described as ‘role
autonomy’ by Parish, Cadwallader and Busch (2008) that increases the employees will to
positively contribute to the organisational change – lays the foundation for the ‘User-
Centred Change’ approach. The approach is supposed to build trust and acceptance
among all participants and promote the will to change. The necessity to communicate
transformation processes (Gardner & Jones, 1999; Barett, 2002; Goodman & Truss,
2004) and the participation of employees in decision-making processes in a two-way
communication (Barret, 2002; Mills et al., 2009; Cheney et al., 2011) are fundamental to
this collaborative acceptance.
Existing change models tend to trigger defence reactions in organizations (Bovey &
Hede, 2001). As mentioned before, especially in the context of digitalization they are
enacted with a primary focus on the technology, disregarding the requirements and
emotions of all participants in the socio-technical system. Transformation processes
frequently fail, because it is not taken into account that human beings in organizations not
only act according to rational reasoning. People are not resistant to change in general;
they only shy away from a possible disadvantage caused by change (Bovey & Hede,
2001). Consequently, our approach focuses on the demands and needs of employees to
reach higher collaborative acceptance of change.
Basic principle One - ´genuine´ participation
Participation becomes ‘genuine’ when employees are not only being analysed and
informed, but actually included in the processes of change and decision-making. Genuine
participation is the precondition for high collaborative acceptance and serves as an
answer to helplessness and potential resistance to change among employees.
Why do we need ‘genuine’ participation? Quite often, the knowledge of employees is
the key to a company’s success. Competitive advantages can only be attained by
competence, ideas and the employees’ know-how. However, this knowledge is hardly
documented, if it is documented at all. Therefore, the task is to establish cross-functional
modes of learning and understanding. Cross-functional modes of learning and
understanding also require an appreciative, non-hierarchical and open communication
strategy as well as functional processes of knowledge transfer. Employees are supposed
to be encouraged to have a positive attitude towards transformation processes.
Accordingly, ‘genuine’ participation is based on the understanding of the organization’s
‘ecosystem’. In order to achieve this, we recommend a qualitative method, because
attitudes, needs, expectancies and emotions of participants are highly important for the
change process. Only by observing, listening and engaging closely, possible resistance
can be reduced, collaborative acceptance can be fostered and longterm success for the
transformational process can be accomplished. Participative methods are particularly apt
in strengthening the (operational) self-confidence of employees, which is linked to the
perceived ability to participate (Lammers, 1989).
How can ‘genuine’ participation be shaped? Regarding methodology, we act at the
intersection of design and social sciences. We combine methods from both disciplines in
order to stimulate collaborative acceptance among employees. These tools (e.g. Cultural
Probes or Exceptional Places; see Use Case) are characterized by a high degree of
freedom for interpretations and associations. They aim to uncover implicit emotions,
values and attitudes, which usually remain hidden in transformation processes. Thus,
employees’ and managements’ implicit knowledge is externalized, analysed and made
available for the transformation process. By explicitly shaping the transformation
process, discomfort can be made tangible in order to become the basis for corporate
change. Visualisations also serve as an effective means, making implicit knowledge
accessible – images often speak louder than words. Especially when dealing with critical
issues within the company (e.g. if an open dialogue on problem areas is difficult),
visualization can prove to be an effective measure. The use of visualizations and
metaphors enables the investigation of issues in different contexts.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
8
Basic principle Two - ´tangible´ experiences
This principle makes a claim for possible changes and new technologies to appear less
frightening, more tangible and manageable. By using empirical methods, trust can be
used as the foundation for acceptance.
Why are tangible experiences important? They ensure the employees’ trust in the
transformation process in the context of digitalization and industry 4.0, by addressing the
(implicit) causes for resistance and fears. Acceptance is related to trust in technology, in
the ‘unknown’ and the ‘new’, in the value of innovation and in improved working
environments. Presently, there is a lack of communication tools that are comprehensible
and can make complex (technological) processes tangible. We are convinced that an
alternative approach to change and new technologies is necessary. Employees often
struggle to grasp the complexities and potentials of new technologies; they stay abstract
and therefore don’t seem trustworthy. Taking up the concept of experience-based
understanding and learning (Lakoff & Johnson 2011; Gallese & Lakoff 2005) the
principle of tangible experiences utilizes metaphorically-based conceptual systems of our
everyday activities and creates understanding of new technologies through sensory
perception, body movement, and direct interaction with the physical and social
environment.
How to manage tangible experiences? In this regard, we profit, once again, from the
intersection of social sciences and design: By re-contextualizing established methods in
the field of applied design and by linking them to sociological research methods,
experience-based tools emerge. Experience-based methods enable us to translate and
transform abstract and intangible phenomena, processes and issues (e.g. digitalization and
industry 4.0) into tangible experience. Through physical interaction with the material
environment, complexity can be reduced and subjected to analysis and discussion.
Experience-based tools bring together aspects of play, construction and imagination.
Their development is based on the insight that there is a particularly strong sensomotoric
link between the hands and the brain (Papert, 1993). The issues at stake are supposed to
become tangible not only as visualizations, as described above, but through the use of
metaphorical models the issues become ‘tangible’ in the proper sense of the word. Thus,
the experience with new technologies offers a new and easy access to highly complex
issues like digital change and industry 4.0. Employing material substitutes complex
issues and contexts as well as otherwise too big, too small, too fast, too slow or too
dangerous materials and processes can be tackled in this tactile approach. During so-
called State of Matter workshops (Hülsen et. al., 2018) common, harmless and reactive
substances like flour and water are being put to use.
Basic principle Three - ´agility and iterations´
‘Genuine’ participation is only possible and efficient in the context of a corresponding
agility. The success of the change process and the focus on the user has to be ensured by
sufficient agility.
Why are agility and iteration important? Uncertainty and transformation have always
been an important subject in organizations, in management literature and research.
Already in 1967, Thompson suggested that one of the most important tasks for any
organization is the management of uncertainties. Today, this statement is still valid.
However, today's change is taking place at a much faster speed than ever before (Zhang
& Sharifi, 2000). Therefore, we argue for a set of methods appropriate to the
requirements. Companies should spend sufficient time to create an agile and target-
oriented set of methods for the transformation process in an iterative approach. There is
no other way to effectively design ‘genuine’ participation and to spur a will to change.
Latitude promotes the collaboration acceptance as well as agility and consistent user-
focus. We don’t consider the what but the how as indicators of the important question at
the centre of transformation: changes should be planned step-by-step and intermediate
results should be reflected, new insights should be considered promptly and, if
applicable, the change process should be adapted accordingly. By choosing an iterative
approach companies safe time and – consequently – money.
How can agility and iteration be shaped? In many lines of business, customer requests
feel like they were sent from the 22nd century. Of course, these demands don’t match the
organizational structures and collaborative models, stemming from the 20th century, at
best, marked by silo mentality and coordination problems. It comes as no surprise if
employees and management come to the end of their rope, both physically and
psychologically. This is the moment when management signals to create latitude for agile
working conditions have a positive effect. The established silo mentality has to be
abolished and collaboration across team boundaries has to be supported (for example by
Design Sprints in self-organized interdisciplinary teams or Shared Leadership1
approaches). Furthermore, the enactment of this basic principle includes a participative
inventory. Consequently, areas can be identified where improvements are necessary.
Corresponding to the iterative approach, employees are able to contribute improvements
continuously, rate them and carry them out single-handedly. The implementation of new
technologies or innovative tools takes place with the intensive participation of the
employees. They test new tools, e.g. in usability tests or out Out-Of-The-Box-Tests, and
encounter their practical use. Such test settings across team boundaries can reduce
employees’ fear of contact with new technology. In an ideal case, they enable employees
to participate in the implementation process of new technologies, but at least employees
collaborate in the implementation of these applications. This ensures the acceptance of
the specific technical applications and can also have a positive effect on the
transformation process in general.
4 Findings: The three basic principles in the context of Human-Robot-
Collaboration within the project `SafeMate´
Background
Due to the rising demands on productivity and flexibility, assembly processes are
currently subject to substantial transformation. Workstations where humans and robots
work closely together are becoming increasingly popular as they provide major
advantages in comparison to manual assembly and full automation. In order to profit
from the potential of industrial robots, which have a lower agility a priori, and to benefit
from the employees’ experiences at the same time, we need safe and flexible HRC. At
present, the use of these HRC systems requires a considerable amount of financial and
human resources. Additional barriers consist in the hitherto inadequate inclusion of
1 According to Pearce and Conger (2003) models of Shared Leadership attempt to redistribute tasks and
responsibilities across hierarchies. Thus, Leadership is defined as social process for which conditions have to be
set that create a ‘collective learning’ experience.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
10
employees in decision-making and the design phase of a collaborative workspace, which
can lead to the fear of loosing one’s responsibility or even the position. HRC can only be
successful if the workforce is ready to accept it. Charalambous et al. (2015) claim to be
the first who investigate human factors that need to be considered during the
implementation of HRC. Although they have a more general focus on implementation
success, many of the factors they are presenting, like communication, participation,
support, training and empowerment of the workers, are also important for the user
acceptance. Our research within the project adds the insight that these recommendations
are not easily applicable if the relationship between workers and executives is disrupted,
because workers might not trust executives’ statements. This calls for simple and
applicable methods and approaches, in order to find the best shape of HRC workspaces in
collaboration with the employees. It is the goal of the research project SafeMate to
develop a generic guideline for that matter drawn from five exemplary application
scenarios at Lenze, Lufthansa Sky Chefs, Miele, Sennheiser and Weidmüller. The
guideline includes introduction strategies and design concepts. YOUSE is developing the
‘User-Centred Change’ approach in the context of this project. In the following lines, we
will sketch the aproachs applicability in relation to the basic principles, presented above.
Basic principle One - ´genuine´ participation
For understanding the social interaction within the involved corportation, in the
discovering phase we focus not only on the factual but also the relationship level.
Therefore, Cultural probes (Gaver et al., 1999) are used. They enable us to gain insights
into the thoughts and feelings of our employees through their explorative and open
character. Through different objectives and documentation options, a variety of employee
impressions on corporate culture, working atmosphere and communication in the
company can be collected in a short time. As a concrete example, the employees involved
in the change process are given the task of visualizing and explaining the company and
their workplace via a metaphor. This simple method not only quickly provides insights
into the corporate culture, but also allows employees to reflect on their own practices and
their own personality and position within the company. Another useful participation
method are so-called ´Exceptional Places´. Employees are invited to so-called ‘table
talks’. Because for most people, lunch is part of the daily routine, and that is what we´re
taking advantage of. In an unusual, but easily accessible lunch format, employees get in
touch with HRC. These moderated lunch breaks provide insights into the corporate
culture and offer space for concerns about the implementation of HRC. They provide an
easy and quick starting point for a cross-team exchange.
But also executives have to be involved. Therefore, we do so called ‘walk-and-talks’.
Originally coming from therapeutic work (Hays, 1994; McKinney, 2011), they represent
a special coaching approach, whose effectiveness is based on the combination of walking
and speaking. Physical exercise in nature makes it easier for managers to reflect their
own attitudes and behaviors, to think out of the box, stress is reduced and new energy can
be gathered.
Basic principle Two - ´tangible´ experiences
Charalambous, Fletcher, and Webb (2016) indicate, that trust is formed by operators’
mental models of a robot. To foster initial trust, they propose that operators should not
only be trained in how to use the robot, but also should be provided with knowledge
about the robot’s abilities. Moreover, to promote continuous trust, operators should be
empowered to rectify errors, as this would extend their understanding of the robot. Trust
in not being harmed is likely to prevent robot anxiety (Bröhl et al., 2016; Heerink et al.,
2010). Thus, giving workers the opportunity to get in contact with the robot as early as
possible might be helpful.
Therefore, we want to achieve the demystification of the technology by providing
those skills and experiences that will enable employees to realistically estimate the
possibilities of digitization and new technologies. In the context of human-robot
collaboration, this can mean creating a setting that provides an understanding of the
space of opportunities of technology through emotions and experiences. This can be
achieved, digitally via virtual reality (VR), where employees experience the prospective
collaboration with a robot in their workplace directly via VR glasses. Or analogously via
metaphorical concepts such as the ‘State of Matter’ Workshop (see general description),
where employees gain access to the unknown of new technologies through low-threshold
metaphorical concepts. Experience-based methods - whether digital or analogue –
provide a better access to the potential chances of the technology and create trust, the
precondition for an active support and use of new technologies.
Basic principle Three – ´agility and iterations´
The literature on change-management models provides a variety of methods that support
transformation, innovation, creativity or reflection processes. Within the SafeMate
project, we believe that a composition and selection of methods based on the employees
and executives needs is essential in order to actively involve them in the transformation
process. After completing the discovering phase, which primarily brings into action the
first and second basic principle, the appropriate methods for the transformation process
are selected. For each of the five participating companies an agile and iterative procedure
instead of a general scheme is created for the HRC implementation process, to ensure the
highest level of effectiveness. For this, respecting the two basic principles of agility, is
essential (Zhang & Sharifi, 2000, p. 496):
1. Responding to changes (anticipated or unexpected) in proper ways and due time
2. Exploiting changes and taking advantage of changes as opportunities
Especially the early participation of all relevant actors (see principle one) turned out
to be a central factor of success, in order to not unnecessarily slow down processes. The
early and comprehensive involvement of the works council was indispensable for the
implementation of HRC, for instance. Only with the help of this early and extensive
inclusion of stakeholders, coordination processes can be implemented and handled fast
and flexible and the transformation process can be communicated in a clear an
transparent matter within the company. Methods of User-Centred Design such as ‘Co-
Creation Workshops’ are good starting points for implementing agility and iterations
within the corporate setting.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
12
5 Discussion
Our ´User-Centred Change´ approach puts employees and executives in the centre of
socio-technical system and provides new access to transformation processes in the
context of digitization and Industry 4.0 with the help of participatory and experience-
based methods. The approach seeks to reduce the complexity of implementing nouvelle
technologies through unusual methodological approaches, by externalizing hidden
assumtions, apprehensions and emotions. Thus trust in new technologies can be promoted
systematically. Through a strictly participatory, iterative and agile process, employees
and executives are continously involved in the process of change, their fears of new
technologies can be addressed more easily and change processes can be designed and
managed mor efficiently and effectively.
Limitations and future research
Due to the early development stage, the approach still shows some weaknesses on a
content and methodological level. These shortcomings are supposed to be addressed with
further research activities and practical testing in the near future.
The process presented as part of the use case is still being implemented, as the
SafeMate project will last until December 2019. Therefore, the evaluation of the
procedure is still pending and thus important findings for the review and further
development of the approach are not yet complete. Furthermore, the measurability of the
approaches success is currently still to be proofed. However, with increasing number of
change processes utilizing this approach, a comparison of results will allow to face this
shortcoming in the future.
In prospecitve change processes, the presented principles should be tested in
combination with different change management models. Only by way of this trial and
error process, it can be ensured that the suggested approach can actually be used in
combination with all sorts of change-management models. Although this article already
provides a helpful set of effective methods for implementing the shown principles, no
claim is made to completeness. A variety of other existing methods can find applications
for the implementation of the principles, as well as methods that are still under
development. We also make no claim to completeness with regard to the basic principles,
depending on the application - here with a focus on digitization and Industry 4.0 - further
principles may be of relevance.
Taking the listed limitations into account, the approach presented in this article
should be tested and developed step by step in order to supplement it and to be able to
achieve a holistic and extensively evaluated participative change model in the long term.
Outlook and Transfer
The presented principles of the UCC approach are a first attempt to put employees and
executives more at the center of change processes in the context of digitization and
industry 4.0. The transferability of the approach to other HRC projects, apart from the
outlined SafeMate use case, is considered to be very high. Currently, there is also a
further systematization and review of the approach in research projects in the areas of
service robotics and health.
Based on the current status, however, a transfer to other fields of application that are
closely related to digitization topics is to be assumed: One specific example is the area of
public service administration. Here, digital transformation offers the opportunity to use
public resources more efficiently and more purposefully, to reduce the burden on citizens
and businesses and to strengthen social cohesion.
The digital public service administration remains behind the expectations of citizens
and companies as well as successes of other states. IT administration remains disparate
and interoperable in administration, and a lack of an overall strategic governance can be
seen (Beck et al., 2017). Public service administrations face increasingly complex
challenges – e.g., aging populations, migration and integration or increasing expectations
of citizens for the quality of service provided by public institutions. Isolated approaches
to traditional policymaking and change management models are reaching their limits.
Therefore, a change is necessary.
Numerous initiatives1, known by various names, such as ‘change labs’, ‘innovation
teams’, and ‘innovation labs’, have set themselves the goal of accompanying public
service administration within the digital transformation in new ways. These initiatves aim
at creating a new working culture in such organizations by adding an injection of
creativity and experimentalism and bringing together new ideas and solutions. We expect
the User-Centered Change approach to be a great tool for accompanying this change in
the long term.
Acknowledgment
The use case derives from the research project SafeMate, which is supported by the
German Federal Ministry of Education and Research (BMBF) under grant number
02P15A084 within the research program ‘Innovation for manufacturing, services and
labour of tomorrow’.
References
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for
a paradigm shift. Journal of the Association for Information Systems, 8(4), pp. 244-254.
Barrett, D. (2002). Change Communication: using strategic employee communication to
facilitate major change. Corporate Communications: An International Journal. 7(4), pp.
219-23.
Bastian, M., Francine Heidt, F., Benz, L., Nickels, A. (2017). Digitalisierung braucht
Führung und Kommunikation - Bedarfe und Status Quo. Hochschule Darmstadt (Eds.).
Mittelstand 4.0 Agentur Kommunikation.
1 Examples are: MindLab: http://mind-lab.dk/en, NESTA http://www.nesta.org.uk or Politics for
Tomorrow: https://www.politicsfortomorrow.eu/.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
14
Bauer, K., Diegner, B., Diemer, J., Dorst, W., Ferber, S. & Glatz, R. (2013).
Umsetzungsempfehlung für das Zukunftsprojekt Industrie 4.0. Deutschlands Zukunft als
Produktionsstandort sichern. acatech – Deutsche Akademie der Technikwissenschaften.
Bauer, W., Zitzelsberger, R. (2017). Kurzstudie: Arbeit in der Industrie 4.0 in Baden-
Württemberg. Allianz Industrie 4.0 Baden-Württemberg.
Beck, R., Fischer, D.-H., Hilgers, D., Hunnius, S., Krcmar, H., Krimmer, R., Margraf,
M., Parycek, P., Schliesky, U., Schuppan, T. & Stocksmeier, D. (2017). Digitale
Transformation der Verwaltung Empfehlungen für eine gesamtstaatliche Strategie.
Bertelsmann-Stiftung.
Beer, J. M., Prakash, A., Mitzner, T. L., & Rogers, W. A. (2011). Understanding robot
acceptance: Technical report HFA-TR-1103. Atlanta, GA.
Bordia, P., Hobman, E., Jones, E., Gallois, C., & Callan, V. J. (2003). Uncertainty during
organizational change: Types, consequences, and management strategies. Journal of
Business and Psychology, 18(4), pp. 507-532.
Bovey, W. H., Hede, A. (2001). Resistance to organisational change: the role of defence
mechanisms. Journal of Managerial Psychology. 16(7), pp. 534-548.
Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I
really have to? User acceptance of mandated technology. European Journal of
Information Systems, 11(4), pp. 283-295.
Bröhl, C., Nelles, J., Brandl, C., Mertens, A., & Schlick, C. M. (2016). TAM reloaded: A
technology acceptance model for human-robot cooperation in production systems. In C.
Stephanidis (Ed.), Communications in Computer and Information Science. 18th
International Conference, HCI International 2016, Toronto, Canada, July 17-22, 2016,
Proceedings, Part I (Vol. 617, pp. 97–103). Cham: Springer.
Cameron, E., Green, M. (2007). Making sense of change management: A complete Guide
to the Models, Tools & Techniques of Organizational Change. London: Kogan Page.
Charalambous, G., Fletcher, S., & Webb, P. (2015). Identifying the key organisational
human factors for introducing human-robot collaboration in industry: An exploratory
study. The International Journal of Advanced Manufacturing Technology, 81(9-12), pp.
2143-2155.
Charalambous, G., Fletcher, S. R., & Webb, P. (2016). Development of a human factors
roadmap for the successful implementation of industrial human-robot collaboration. In C.
Schlick & S. Trzcieliński (Eds.), Advances in Intelligent Systems and Computing: Vol.
490. Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future.
Proceedings of the AHFE 2016 International Conference on Human Aspects of
Advanced Manufacturing, Orlando, FL, July 27-31, 2016, pp. 195-206.
Cheney, G, Christensen, L. T., Zorn T. E, Shiv, G. (2011). Organizational
communication in an age of globalization: issues reflections and practices. Waveland
press, inc.
Coyle-Shapiro, J.A. (1999). Employee participation and assessment of organizational
change intervention: A three-wave study of total quality management. The Journal of
Applied Behavioral Science. 35, pp. 439-456.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of
information technology. MIS Quarterly, 13(3), pp. 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer
technology: A comparison of two theoretical models. Management Science, 35(8), pp.
982-1003.
Domsch, M. & Reinecke, P. (1982). Mitarbeiterbefragung als Führungsinstrument. In H.
Schuler & W. Stehle (Eds.), Psychologie in Wirtschaft und Verwaltung, pp. 127-148.
Stuttgart: Poeschel.
Emery, F. E. (1959). Characteristics of socio-technical systems. Tavistock Institute of
Human Relations, Document No. 527.
Gallese, V., Lakoff, G. (2005). The Brain´s concepts: The Role of The Sensory-Motor
System in Conceptual Knowledge. In: COGNITIVE NEUROPSYCHOLOGY, 21(0).
Ganschar, O., Gerlach, S., Hämmerle, M., Krause, T., Schlund, S. (2013). D. Spath
(Eds.), Produktionsarbeit der Zukunft – Industrie 4.0. Stuttgart: Fraunhofer Verlag.
Gardner, J., Jones, E. (1999). Problematic communication in the workplace: beliefs of
superiors and subordinates. International Journal Of Applied Linguistics. 9(2), pp. 185-
203
Gaver, W., Dunne, A. & Pacenti, E. (1999). Design: Cultural Probes. Interactions. 6. pp.
21-29.
Geels, F., W. (2004). From sectoral systems of innovation to socio-technical systems
Insights about dynamics and change from sociology and institutional theory. Research
Policy 33, pp. 897-920.
Goodman, J., Truss, C. (2004). The medium and the message: communication effectively
during a major change initiative. Journal of Change Management. 4(3), pp. 217-228.
Hays, K. (1994). Running therapy: Special characteristics and therapeutic issues of
concern. Psychotherapy, 31(4), pp. 725-734.
Heerink, M., Krose, B., Evers, V., & Wielinga, B. (2010). Assessing acceptance of
assistive social agent technology by older adults: The almere model. International
Journal of Social Robotics, 2(4), pp. 361-375.
Hülsen, J.; Schwabe, S.; Trübswetter, A.; Winkler, C. (2018; accepted). State of Matter -
Transformationen und Innovationen durch erfahrungsbasierte Werkzeuge gestalten.
innteract2018 conference.
Kieser, A., Hegele, C., Klimmer, M. (1998). Kommunikation im organisatorischen
Wandel. Stuttgart: Schäffer-Poeschl.
Kotter, J.( 2001). What Leaders Really Do. Harvard Business Review. 79, 11, pp. 85- 96.
Krallmann, H., Sivri, S. (2016). Soziotechnische Betrachtung der Digitalisierung.
Auswirkungen der Industrie 4.0. technologie & management 03/2016, pp. 12-15.
Lakoff, G., Johnson, K. (2011). Leben in Metaphern: Konstruktion und Gebrauch von
Sprachbildern, Heidelberg: Carl-Auer Verlag; 7. Auflage.
This paper was presented at The ISPIM Innovation Conference – Innovation, The Name of The
Game, Stockholm, Sweden on 17-20 June 2018. The publication is available to ISPIM members at
www.ispim.org.
16
Lammers, C. (1989). Competence and organizational democracy: Concluding reflections.
In G. Széll, P. Blyton, & C. Cornforth (Eds), The state, trade unions and self-
management, pp. 339-357.
Lorenzi, N. M., Riley, R. T. (2000). Managing change: An overview. Journal of the
American Medical Informatics Association, 7(2), pp. 116–124.
Maucher, I. H., Paul; C. Rudlof, C. (2002). Modellierung in Soziotechnischen Systemen.
GI-Proceedings, Prozessorientierte Methoden und Werkzeuge für die Entwicklung von
Informationssystemen, pp. 128-137.
McKinney, B. L. (2011). Therapist's Perceptions of Walk and Talk Therapy: A Grounded
Study. University of New Orleans Theses and Dissertations. 1375.
Mills H, J., Dye, K, Mills J, A. (2009). Understanding Organizational Change.
Routledge.
Nesterkin, D. A. (2013). Organizational change and psychological reactance. Journal of
Organizational Change Management, 26(3), pp. 573-594.
Papert, S. (1993.: The Children’s Machine. New York, NY: Basic Books.
Parish, J., Cadwaller, S., Busch, P. (2008). Want to, need to, ought to: employee
commitment to organizational change. Journal of Organizational Change Management.
21(1), pp. 32-52.
Pearce, C. L., Jay A. Conger, J. A. (2003). Shared Leadership: Reframing the Hows and
Whys of Leadership. Thousand Oaks/ London/ New Delhi: Sage Publications, Inc.
Rosemann, B., Gleser, C. (1999). Partizipatives Change Management: Eine Methode zur
Mitarbeiterbeteiligung bei Veränderungsprozessen in Unternehmen. Zeitschrift Fühurng
& Organisation, 68, pp. 134-139.
Schäfer, M., Keppler, D. (2013). Modelle der technikorientierten Akzeptanzforschung:
Überblick und Reflexion am Beispiel eines Forschungsprojekts zur Implementierung
innovativer technischer Energieeffizienz-Maßnahmen (Discussion paper No. 34). Berlin.
Steinmann, H., Schreyoegg, G. (2005). Management, Grundlagen der
Unternehmensführung. 6. Aufl., Wiesbaden: Gabler.
Thach, L., Woodman, R. (1994). Organizational change and information technology:
managing on the edge of cyberspace, Organizational Dynamics, 23, pp. 30-46.
Thompson, J. (1967). Organisation in Action, McGraw-Hill, New York, NY.
Ulich, E. (1998). Arbeitssysteme als Soziotechnische Systeme - eine Erinnerung. Journal
Psychologie des Alltagshandelns/Psychology of Everyday Activitiy, 6(1).
Ulich, E. (2011). Arbeitspsychologie (7. Ed.). Zürich: vdf Hochschulverlag. Stuttgart:
Schäffer Poeschel.
Zhang, D., Sharifi, H. (2000). A Methodology for Achieving Agility in Manufacturing
Organizations. International Journal of Operations & Production Management, 20, pp.
496-513.