Model of MIS

1
Model of MIS Leading Research

• Presented By
• Eyran Gisches Hsin-Min Lu Manlu Liu
• Michael Edwards Nichalin Suakkaphong Ping Yan
• Runpu Sun Steve Coulon Tianjun Fu
• December 7th, 2005
• MIS 696A - Readings in MIS (Dr. Jay Nunamaker)
• Eller College of Management, University of Arizona

2
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

3
Research Objectives Approach

• Objectives
• Build on existing mappings of the MIS domain (by
  previous classes)
• Identify key academic researchers and their key
  publications
• Classify researchers and publications using the
  model we provide
• Display the landmark events for each discipline
  in a timeline format and
• Map the trend for the whole MIS field as well as
  for each subfield in MIS
• Approach
• Classify the field into eight sub-fields
• Four sections for each subfield
• Background
• Timeline
• Time Trend
• Key Researchers

4
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

5
MIS Research Domain Model
6
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

7
Research Classification Model
Theory / Application Theory is described as a
type of research that is used to describe an
environment. Application is the use of an
existing theory to propose an actual solution to
a specific problem. Technical / Behavioral
Technical refers to positivist research, or
research that relies on observable facts.
Behavior refers to interpretivist research, or
research that relies on interpreting observable
behavior. Rigor / RelevanceRigorous research
typically involves exact, mathematical modeling.
Relevant research is generalized for use by
practitioners.
8
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

9
MIS Time Trend

• Source ABI/Inform Database
• Five-year interval start from 1970
• Publication share Field publication count /
  Total journal publication
• All fields going up except System Analysis

10
Publication Share Growth Rate
Publication Share
Publication Growth

• Publication share 2000-2004
• Publication growth rate 1980-2000, annual growth
  rate

11
Publication Share-Growth Matrix
Social Informatics HCI Data Management
Collaboration
High
Publication Growth
OM (DS) AI Econ
System Analysis Design
Low
Low
High
Publication Share
12
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

13
Artificial Intelligence

• Timeline

• 1950 "Computing Machinery and Intelligence"
  published
• 1956 The term "artificial intelligence" coined
• 1974 First expert system developed
• 1980s Neutral network with back propagation
• 1990s Machine learning, data mining, deep
  blue, etc.

14
Artificial Intelligence

• Trend

15
Artificial Intelligence

• Key Researchers Contributors

• John McCarthy
• Stanford University
• Programming language, AI, Mathematics
• Gerard Salton (1927-1995)
• Cornell University
• Information Retrieval, Natural language text
  processing
• Marvin Minsky
• Massachusetts Institute of Technology
• AI, cognitive psychology, neural networks, Turing
  machines, robotics

16
Artificial Intelligence

• Key Researchers Contributors
• Alexa McCray (NCBC, NLP)
• Allen Newell (UC Berkeley, general problem solver
  )
• Carol Friedman (Columbia, NLP)
• Douglas Lenat (Cycorp, Machine learning)
• Edward Feigenbaum(Standford, Knowledge Systems )
• Gerard Salton (Cornell, information retrieval)
• Herbert Simon (CMU , human cognition)
• Hsinchun Chen (UA, digital library)
• John McCarthy (Stanford, Programming language)
• Marvin Minsky (MIT, neutral network , robotics)
• Paul Gray (Claremont Graduate University, DSS)
• Robert Kahn (CNRI, Network protocol)
• Russ Biagio, Altman (Stanford, biological)

17
Collaboration

• Timeline

• 1968 Englebarts Video Conference
• 1969 Policy Delphi
• 1971 Delphi for group communication
• 1983 Foundation for study of GSS
• 1987 Collaboration used at Xerox labs
• 1991 Requirements for group support established
• 1996 Groupware Grid proposed

18
Collaboration

• Trend

19
Collaboration

• Key Researchers Contributors

• Jay F. Nunamaker, Jr.
• University of Arizona
• Computer supported collaboration and decision
  support to improve productivity and
  communication.
• Murray Turoff
• New Jersey Institute of Technology
• Everything that has to do with collaboration
• George P. Huber
• University of Texas at Austin
• Organizational change, design and decision making

20
Collaboration

• Key Researchers Contributors
• Jay Nunamaker, Jr. (Arizona, Computer Supported
  Collaboration)
• Murray Turoff (NJIT, Everything Collaboration)
• George Huber (UT Austin, Organizational Change)
• Brent Gallupe (Queens University, Electronic
  Brainstorming)
• Geradine DeSanctis (deceased, Electronic
  Communication)
• Robert Johansen (IFTF, Technology Forecasting)

Note More details on the next slide
21
Data Management

• Timeline

• 1970 E.F. Codds article on Relational
  Databases
• 1974 SQL Invented
• 1985 Postgres Project on Object-Oriented
  Databases
• 1988 Database warehouse idea

22
Data Management

• Trend

23
Data Management

• Key Researchers Contributors

• Edgar F. Codd
• Researcher, IBM Research Laboratory,San Jose, CA
• Relational database technologies
• Peter Pin-Shan Chen
• Professor, Louisiana State University
• Database design, Entity-Relationship Model
• Michael Stonebraker
• Adjunct Professor, MIT
• DBMS support for visualization environmentsand
  next-generation distributed DBMSs

24
Data Management

• Key Researchers Contributors

• Raymond F. Boyce (Researcher, IBM Research
  Laboratory Relational databases)
• Peter Pin-Shan Chen (Professor, Louisiana State
  University Entity-Relationship Model)
• Edgar F. Codd (Researcher, IBM Research
  Laboratory Relational database technologies)
• Alan R. Hevner (Professor, University of South
  Florida Distributed Database, Decision Science)
• Stuart E. Madnick (Professor, MIT Database and
  information integration technologies)
• Salvatore T. March (Professor, Vanderbilt
  University Distributed database design)
• Shamkant B. Navathe (Professor, Georgia Institute
  Of Technology Database modeling)
• Michael Stonebraker (Adjunct Professor, MIT DBMS
  support for visualization environments and
  next-generation distributed DBMS)

25
Data Management

• Key Researchers Contributors
• Sudha Ram (Professor, University of Arizona
  Semantic interoperability among heterogeneous
  data sources)
• Stefano Spaccapietra (Professor, Swiss Federal
  Institute of Technology Ontologies, user
  interfaces)
• Veda Storey (Professor, Georgia State University
  Database management systems, intelligent systems,
  and ontology development)
• Toby J. Teorey (Professor, University of
  Michigan Database and data warehouse design)
• Kim Won (CEO, Cyber Database Solutions Business
  intelligent systems, OLAP, Data Mining)

26
Economics of Informatics

• Timeline

• 1985 Pricing of computer services (Mendelson)
• 1988 Switching costs and lock-in theories
  (Farrell and Shapiro)
• 1993 Productivity paradox of IT (Brynjolfsson)
• 1999 Bundling of information goods (Bakos and
  Brynjolfsson)
• 1999 Economics of global IT (King and Sethi)

27
Economics of Informatics

• Trend

28
Economics of Informatics

• Key Researchers Contributors

• Yannis Bakos
• New York University
• Information goods bundling, economics and
  business implications of information technology
• Erik Brynjolfsson
• Massachusetts Institute of Technology
• Productivity paradox, pricing and sharing of
  digital information
• Carl Shapiro
• University of California at Berkeley
• Network externality, product standards and
  compatibility, industry organization

29
Economics of Informatics

• Key Researchers Contributors
• Yannis Bakos (NYU, Bundling)
• Erik Brynjolfsson (MIT, IT Productivity)
• Carl Shapiro (UC Berkeley, Network Externality)
• Anitesh Barua (UT Austin, Value of IT)
• Eric Clemons (Univ. of Penn., IT Investment)
• Ronald Coase (Univ. of Chicago, Transaction Cost)
• Peter Drucker (Clarmont Graduate Univ., Organ.
  Manag.)
• Vijay Gurbaxani (UC Irvine, IT Strategy)
• Kenneth L. Kraemer (UC Irvine, IT Productivity)
• Haim Mendelson (Stanford Unvi., IT Impact on
  Organization)
• Hal Varian (UC Berkeley, Microeconomics)
• Andrew B. Whinston (UT Austin, Digital Economy)

Note More details on the next slide
30
Human Computer Interaction (HCI)

• Timeline

• Bush Vannevar, 1945, As we may think
• Licklider, J. C. R., 1960, "Man-Computer
  Symbiosis"
• Robertson, G., 1977, ZOG A Man-Machine
  Communication Philosophy
• Card, Stuart K, 1983, The Psychology of
  Human-Computer Interaction
• George W, Furnas, 1986, "Generalized fisheye
  views"

31
HCI

• Trend

32
HCI

• Key Researchers Contributors

• Douglas C. Engelbart
• Stanford University
• Augmenting human intellect via graphical
  design, human factors, and hypertextual
  information display.
• George W. Furnas
• The University of Michigan
• HCI information access, visualization,
  computer-supported cooperative work graphical
  reasoning
• Terry A. Winograd
• Stanford University
• Human-computer interaction design, with a focus
  on the theoretical background and conceptual
  models

33
HCI

• Key Researchers Contributors
• Bush, Vannevar (deceased 1974, MIT, Hypertext
  research)
• Stuart K. Card (researcher, Palo Alto Research
  Center, input device - mouse)
• Douglas C. Engelbart (professor, Stanford U,
  graphical design and human factors)
• Gorge W. Furnas (professor, U of Michigan, human
  communication)
• J.C.R. Lickerlider (deceased 1990, founder,
  Advanced Research Projects Agency, HCI)
• Allen Newell (deceased 1992, professor, CMU,
  hypertext)
• Brad A. Myers (professor, CMU, user interface)
• Jakob Neilson (professor, MIT, web usability)
• Donald A. Norman (professor, Northwestern U,
  human-centered design)
• Ben Shneiderman (professor, U of Maryland, user
  interface design)
• Terry A. Winograd (professor, Standford U, HCI
  and natural language processing)
• John M. Carroll (professor, Virginia Tech,
  user-scenario design)

34
Operations Management

• Timeline

• 1947 - Linear programming Simplex Algorithm
• 1950s-60s OM starts to differentiate from OR
  and IM
• 1970s MRP, Scheduling, Inventory Control,
  Forecasting
• 1980s JIT, TQC
• 1990s BRP, TQM
• 2000s E-Commerce

35
Operations Management

• Trend

36
Operations Management

• Key Researchers Contributors

• George Danzig (1914-2005)
• Linear Programming Simplex algorithm
• Edward W. Bowman (1925-1998)
• University of Penssilvania
• Production
• Hau L. Lee
• Stanford
• Supply Chain

37
Operations Management

• Key Researchers Contributors
• George Danzig (deceased 2005, Linear Programming)
• Edward W. Bowman (deceased 1998, Production)
• William E. Deming (deceased 1993, Manufacturing)
• Hau L. Lee (Stanford, Supply Chain)
• Marshall L. Fisher (Wharton, Production
  management)
• Ralph H. Sprague (Hawaii, DSS)
• Alan G. Merten (George Mason, Organizational
  information)

Note More details on the next slide
38
Social Informatics

• Timeline

Late 1980s
2001
Adaptive technology
1998
Intellectual property
required for
Trust in global
in an open
team differences
virtual teams
information environment
1994
1996
Fair use
Term Social informatics Came into popular use
in North America
and digital data

• 1980s Adaptive technology required for team
  differences
• 1994 Fair use and digital data
• 1996 Term Social Informatics Came into
  popular use
• 1998 Trust in global virtual teams
• 2001 Intellectual property in an open
  information environment

39
Social Informatics

• Trend

40
Social Informatics

• Key Researchers Contributors

• Wanda J. Orlikowski
• Massachusetts Institute of Technology
• Interactions between information technology and
  the organization
• Pamela Samuelson
• University of California at Berkeley
• Intellectual property law, public policy for
  information technology
• Rob Kling (1944-2003)
• Indiana University at Bloomington
• electronic media to support communication

41
Social Informatics

• Key Researchers Contributors
• Gordon B. Davis (University of Minnesota, MIS
  planning )
• John L. King (University of Michigan,
  socio-technical information infrastructures )
• Rob Kling (Indiana University, use of electronic
  media )
• Kenneth L. Kraemer (UC Irvine, National computer
  policy)
• Lawrence Lessig (Stanford , Law of Cyberspace )
• Wanda J. Orlikowski (MIT, Organizational change
  and IT )
• Sara Kiesler (CMU, Social and Behavior)
• Seymour Goodman (Georgia Tech, technology
  diffusion )
• Sirkka L. Jarvenpaa (UT Austin, E-Commerce )
• Robert W. Zmud (University of Oklahoma , User
  behavior)
• Pamela Samuelson (UC Berkeley , IP Law)
• Lee S. Sproull (NYU, Group dynamic)
• JoAnne Yates (MIT, IT Management)
• William R. King (University of Pittsburgh,
  Strategic IS Planning )
• Daniel Robey (Georgia State )

Note More details on the next slide
42
System Analysis and Design

• Timeline

• 1930s and 40s General system theory developed
• 1966 Simula (the first OO language)
• 1969 Structured programming
• 1970 Waterfall method
• 1974 Structured design
• 1976 Structured analysis
• 1988 Spiral model
• 1993 workflow management coalition founded
• 1994 Designed patterns applied to software
  development
• 1997 UML accepted by OMG

43
System Analysis and Design

• Trend

44
System Analysis and Design

• Key Researchers Contributors

• Ludwig von Bertalanfy (deceased 1972)
• Can be considered as father of system analysis
  and design
• Introduced general system theory
• Ole-Johan Dahl (deceased 2002)
• Developed the Simula programming language
• Founder of object technology
• Kristen Nygaad (deceased 2002)
• Developed the Simula programming language
• Founder of object technology

45
System Analysis and Design

• Key Researchers Contributors
• Ludwig von Bertalanffy
• a biologist, scientist,philosopher
• Ole-Johan Dahl
• Computer programming, object-oriented research
• Kristen Nygaad
• Computer programming, object-oriented research
• Edsgar W. Dijkstra
• Data structures and algorithms
• Barry Boehm
• University of Southern California
• Software process modeling, software architectures
• Grady Booch
• Object-oriented analysis and design
• Tom DeMarco
• System software specification, risk management

46
System Analysis and Design

• Key Researchers Contributors
• Clarence Ellis
• University of Colorado Boulder
• Work flow technology, groupware
• Ivar Jacobson
• Objected-oriented analysis and design
• Jeff Kramer
• Imperial College
• Distributed systems, software architecture
• David Lorge Pamas
• McMaster University
• Computer system design
• Amit P. Sheth
• University of Georgia
• Semantic Web and Semantic information brokering
• Edward Yourdon
• Structured design, objected-oriented systems

47
Agenda

• Research Objectives Approach
• MIS Research Domain Model
• Research Classification Model
• MIS Time Trend
• MIS Domains
• KM, AI, IR
• Collaboration Communication
• Database
• Economics of Informatics
• HCI
• Operations Research
• Social Informatics
• Systems Analysis Design
• Conclusion

48
Conclusion

• Our project accomplished our objectives
• Build on existing mappings of the MIS domain (by
  previous classes)
• Identify key academic researchers and their key
  publications
• Classify researchers and publications using the
  model we provide
• Display the landmark events for each discipline
  in a timeline format and
• Map the trend for the whole MIS field as well as
  for each subfield in MIS
• We have provided a solid foundation of work for
  future classes.