© Andrew Schwarz, 2002Slide 1 Lecture 2/Session 2 Key Information Technology Systems in...
-
Upload
felix-thomas -
Category
Documents
-
view
214 -
download
0
Transcript of © Andrew Schwarz, 2002Slide 1 Lecture 2/Session 2 Key Information Technology Systems in...
© Andrew Schwarz, 2002 Slide 1
Lecture 2/Session 2Lecture 2/Session 2
Key Information Technology Key Information Technology Systems in OrganizationsSystems in Organizations
© Andrew Schwarz, 2002 Slide 2
Introduction
While we have talked about technology and systems in a broad context, we have yet to understand the different type of information systems that rely upon information technology
This lecture will discuss the key information systems in organizations
© Andrew Schwarz, 2002 Slide 3
Unanswered Questions
1. What are the different types of systems by organizational level?
2. What are the different types of systems by functional area?
3. How do organizations integrate all of the systems?
4. What is the application of this lecture for you, as a manager, in the digital age?
© Andrew Schwarz, 2002 Slide 4
Question #1:Question #1:What are the different types of What are the different types of
systems by organizational level?systems by organizational level?
Organization LevelsOrganizational LevelOrganizational Level Types of ManagersTypes of Managers
STRATEGIC LEVEL SENIOR MANAGERSSTRATEGIC LEVEL SENIOR MANAGERS
MANAGEMENT LEVEL MIDDLE MANAGERSMANAGEMENT LEVEL MIDDLE MANAGERS
OPERATIONAL OPERATIONAL
OPERATIONAL LEVEL OPERATIONAL LEVEL MANAGERS MANAGERS
KNOWLEDGE LEVEL KNOWLEDGE WORKERSKNOWLEDGE LEVEL KNOWLEDGE WORKERS
SALES & MANUFACTURING FINANCE ACCOUNTING HUMANSALES & MANUFACTURING FINANCE ACCOUNTING HUMAN MARKETINGMARKETING RESOURCES RESOURCES
© Andrew Schwarz, 2002 Slide 6
Systems by Org Level Operational level: systems monitor the elementary
activities and transactions of the firm– Transaction Processing Systems
Knowledge level: systems support knowledge and data workers– Knowledge work systems/Office Systems
Management level: systems support monitoring, controlling, decision-making, and administrative activities– Management Information Systems/Decision Support Systems
Strategic level: systems that support long-range planning activities– Executive support systems
© Andrew Schwarz, 2002 Slide 7
Transaction Processing Systems
Computerized systems that perform and record the daily routine transactions necessary to conduct the business
Users: operations personnel; supervisors Examples: accounts payable, accounts
receivable, payroll, order tracking, order processing
© Andrew Schwarz, 2002 Slide 8
Knowledge Work Systems
Systems that aid knowledge workers in the creation and integration of new knowledge in the organization
Users: professionals, technical staff Examples: engineering systems, graphics
systems, 3-D systems
© Andrew Schwarz, 2002 Slide 9
How do Firms Capture Knowledge?
Knowledge management: the set of processes developed in an organization to create, gather, store, maintain, and disseminate the firm’s knowledge– Senior executive in charge of KM: CKO
Types of knowledge:– Structured knowledge, such as product manuals– External knowledge of competitors, products, and
markets (competitive intelligence)– Tacit knowledge—knowledge in the minds of the
employees
© Andrew Schwarz, 2002 Slide 10
Importance of Knowledge As stated in Lecture 1, the dominant workers are
knowledge workers So, if all companies were given the same amount
of resources, raw materials, locations, etc., what would be the source of competitive advantage for that firm?– The knowledge within the employees!
Thus, firms are seeking to capture and retain that knowledge so that they can have a sustainable competitive advantage
© Andrew Schwarz, 2002 Slide 11
Systems Used to Capture Knowledge
Expert system: captures the expertise of a human in limited domains of knowledge– Rules-based capture—if this happens, then I would
make this decision
– Similar to a DSS, but is built upon human knowledge
Some companies attempt to use artificial intelligence (AI) and neural networks so that the systems learn from their history– Problems with AI!
© Andrew Schwarz, 2002 Slide 12
Intelligence
Above knowledge is intelligence, or carrying out the knowledge through implementation
Companies are ultimately attempting to create intelligent agents– Software programs that use a knowledge bask
that carry out tasks for users or complete business tasks
© Andrew Schwarz, 2002 Slide 13
Office Systems Computer systems that are designed to increase
the productivity of data workers in the office Users: Clerical workers Examples:
– Word processing: facilitate the creation of documents (e.g. Microsoft Word)
– Desktop publishing: produces documents combining output from various sources (e.g. Microsoft Publisher)
– Document imaging systems: convert documents and images into digital form so they can be stored on the computer
© Andrew Schwarz, 2002 Slide 14
Decision Support Systems
Systems that combine data and analytic models or data analysis tools to support nonroutine decision making for individuals– Use input from TPS data plus external sources
Users: Professionals; staff managers Examples: sales region analysis, cost
analysis, pricing analysis
© Andrew Schwarz, 2002 Slide 15
Types of DSS
Model driven: stand-alone system that uses models to perform “what-if” and other kinds of analyses
Data-driven: system that relies upon information within databases to make decisions, but is not configured with a model in mind
© Andrew Schwarz, 2002 Slide 16
Components of a DSS
TPSExternal
DataDSSDatabase
DSS Software SystemModels
OLAP ToolsDatamining Tools
UserInterface
User
© Andrew Schwarz, 2002 Slide 17
Group Decision Support System (GDSS)
An interactive computer-based system to facilitate the solution to unstructured problems by a set of decision-makers working together as a group
The group uses software tools to help it arrive at a decision– Questionnaire/voting software
– Electronic brainstorming tools
– Idea organizer
– Electronic meeting system
© Andrew Schwarz, 2002 Slide 18
Differences between DSS/GDSS
Users– DSS: individuals; GDSS: groups
Objective of use– DSS: build models using data; GDSS: facilitate
interaction between individuals Effectiveness
– DSS: depends on how well the tool is built by designers; GDSS: depends on facilitators, tools selected, and participants
© Andrew Schwarz, 2002 Slide 19
Management Information Systems
Systems that support managers as they plan, control, and make decisions– Summarize and report on a company’s basic
operations—not day-to-day, but trends
Users: middle managers Examples: annual budgets, capital
investment analysis, analysis of sales data (aggregated from TPS)
MISMIS
MIS FILESMIS FILES
SALES DATA
UNIT PRODUCT COST
PRODUCT CHANGE DATA
EXPENSE DATA
MISREPORTS
MANAGERSMANAGERS
TPS
Order Processing
System
Materials Resource
Planning System
General Ledger
System
ORDER FILE
PRODUCTION MASTER FILE
ACCOUNTING FILES
Example of Relationship Between TPS and MIS
© Andrew Schwarz, 2002 Slide 21
Executive Support Systems
Systems designed to address nonroutine decision making– Incorporate data from TPS, MIS, DSS, and
other external sources
Users: senior managers Examples: trends in the marketplace,
forecasting, personnel planning
Systems by Level and Decision Type
TPSOAS MIS
KWS
DSS
ESS
ORGANIZATIONAL LEVELORGANIZATIONAL LEVELTYPE OFTYPE OFDECISIONDECISION OPERATIONAL KNOWLEDGE MANAGEMENT STRATEGIC
STRUCTURED ACCOUNTS RECEIVABLE
ELECTRONIC PRODUCTIONSCHEDULING COST OVERRUNS
SEMI- BUDGETSTRUCTURED PREPARATION
PROJECTSCHEDULING
FACILITYLOCATION
UNSTRUCTURED PRODUCT DESIGN NEW PRODUCTSNEW MARKETS
© Andrew Schwarz, 2002 Slide 24
Question #2:Question #2:What are the different types of What are the different types of
systems by functional area?systems by functional area?
© Andrew Schwarz, 2002 Slide 25
Systems by Functional Unit Sales/Marketing: Systems that help the company identify
customers; develop, promote, and sell products/services; and provide customer support
Manufacturing/Production: Systems that deal with the planning, development, and production of products/services and with controlling the flow of production
Finance/Accounting: Systems that keep track of the firm’s financial assets/fund flow
Human Resources: Systems that maintain employee records; track employee skills; job performance and training; and support planning for employee compensation and career development
Examples of Systems by Functional Areas
System Description Organizational Level Machine Control Control Actions Of Equipment Operational Computer-aided-design Design New Products Knowledge Production Planning Decide Number, Schedule Products Management Facilities Location Decide Where To Locate Facilities Strategic
Sales/Marketing
Manufacturing
System Description Organizational Level Order Processing Enter, Process, Track Orders Operational Market Analysis Identify Customers & Markets Knowledge Pricing Analysis Determine Prices Management Sales Trends Prepare 5-year Forecasts Strategic
Examples of Systems by Functional Areas
System Description Organizational Level Training/Development Track Training, Skills, Appraisals Operational Career Pathing Design Employee Career Paths Knowledge Compensation Analysis Monitor Wages, Salaries, Benefits Management HR Planning Plan Long-term Labor Force Needs Strategic
Finance/Accounting
Human Resources
System Description Organizational Level Accounts Receivable Track Money Owed To Firm Operational Portfolio Analysis Design Firm's Investments Knowledge Budgeting Prepare Short Term Budgets Management Profit Planning Plan Long-term Profits Strategic
© Andrew Schwarz, 2002 Slide 28
An Emerging Sales/Marketing System
Given the proliferation of companies (from our discussion in Session 1), keeping and retaining customers is becoming more crucial
To help keep track of customers, companies are turning to customer relationship management (CRM) software– Coordinates all of the business processes for
dealing with customers
© Andrew Schwarz, 2002 Slide 29
Question #3:Question #3:How do organizations integrate How do organizations integrate
all of the systems?all of the systems?
Are These Systems Separate?
In the discussion thus far, we have treated the systems as being separate from one another
Manufacturing Accounting Finance Marketing/Sales HR
ManufacturingSystems
AccountingSystems
FinanceSystems
Marketing/SalesSystems
HRSystems
Businessprocesses
Businessprocesses
Businessprocesses
Businessprocesses
Businessprocesses
© Andrew Schwarz, 2002 Slide 31
Traditional Views of Systems
Reality check: systems are (and need to be!) integrated
So how do companies integrate systems?– Build their own patches– Use enterprise systems, or firm-wide
information systems that integrate key business processes so that information can flow freely between parts of the firm [also known as ERP, or Enterprise Resource Planning systems]
Enterprise View of Systems
Sales & Marketing
Accounting
Finance
Manufacturing
Human Resources
Business ProcessesBusiness Processes
Enterprise-wide Enterprise-wide Business ProcessesBusiness Processes
Vendors Customers
© Andrew Schwarz, 2002 Slide 33
Why would Firms use an ERP?
1. Creation of one unified organization—no more stovepipes
2. Automation of manually-intensive processes
3. Better reporting and decision making—knowledge is in the hands of the knowledge workers
4. Unified technology platform
5. More efficient company and customer driven business
© Andrew Schwarz, 2002 Slide 34
Why do Firms Not Use an ERP?
1. High up-front cost
2. Challenge of implementation1. Only 10-15% of implementations are smooth
3. Systems are inflexible—they define the processes and your organization must change how you do work
4. Tough to find the strategic value
© Andrew Schwarz, 2002 Slide 35
Question #4:Question #4:What is the application of this What is the application of this
lecture for you, as a manager, in lecture for you, as a manager, in the digital age?the digital age?
© Andrew Schwarz, 2002 Slide 36
Top 3 Applications From This Lecture
1. Are there processes in your organization that need to be automated?
2. Are you thinking at the strategy level for technology—do you see areas where technology could help your firm grow?
3. How integrated are your systems? Are your tasks repetitious (do you have to re-enter data already in another system?)?