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. MIS696A-Reading in MIS | U of Arizona
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
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MIS696A-Reading in MIS | U of Arizona

3. Research Objectives & Approach
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
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4. MIS696A-Reading in MIS | U of Arizona
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
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MIS696A-Reading in MIS | U of Arizona

5. MIS Research Domain Model
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6. MIS696A-Reading in MIS | U of Arizona
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
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MIS696A-Reading in MIS | U of Arizona

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 / Relevance:Rigorous research typically involves exact, mathematical modeling. Relevant research is generalized for use by practitioners.
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8. MIS696A-Reading in MIS | U of Arizona
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
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MIS696A-Reading in MIS | U of Arizona

9. MIS696A-Reading in MIS | U of Arizona
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
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10. Publication Share & Growth Rate
Publication Growth
Publication share:
Publication growth rate: , annual growth rate
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11. Publication Share-Growth Matrix
Social Informatics
HCI
Data Management
Collaboration
High
Publication Growth
OM (DS) AI
Econ
System Analysis &
Design
Low
High
Low
Publication Share
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12. MIS696A-Reading in MIS | U of Arizona
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
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MIS696A-Reading in MIS | U of Arizona

13. Artificial Intelligence
Timeline
1956
McCarthy coins
the term
1967
Successful
knowledge-based
program:
Dendral is built
1972
A Model of
Evolutionary Change
in Proteins
1990
Basic Local
Alignment Search
Tool
Bayesian method
developed for
determining atomic
positions
1997
Deep Blue
chess program
beats Kasparov
1999
EcoCyc: The
Resource and the
Lessons Learned
2002
Accomplishments
and challenges
in literature data
mining for biology
1950
Alan Turing “Turing test”
1958
McCarthy invented LISP
1968
Marvin
Minsky
published Perceptrons
mid80s
NN/BP widely used
1950 – "Computing Machinery and Intelligence" published
1956 – The term "artificial intelligence" coined
1974 – First expert system developed
1980’s – Neutral network with back propagation
1990’s – Machine learning, data mining, deep blue, etc.
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14. Artificial Intelligence
Trend
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15. Artificial Intelligence
Key Researchers & Contributors
John McCarthy
Stanford University
Programming language, AI, Mathematics
Gerard Salton ( )
Cornell University
Information Retrieval, Natural language text processing
Marvin Minsky
Massachusetts Institute of Technology
AI, cognitive psychology, neural networks, Turing machines, robotics
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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)
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17. MIS696A-Reading in MIS | U of Arizona
Collaboration
Timeline
1968 – Englebart’s 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
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18. MIS696A-Reading in MIS | U of Arizona
Collaboration
Trend
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19. MIS696A-Reading in MIS | U of Arizona
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
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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
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21. MIS696A-Reading in MIS | U of Arizona
Data Management
Timeline
1970 – E.F. Codd’s article on Relational Databases
1974 – SQL Invented
1985 – Postgres Project on Object-Oriented Databases
1988 – Database warehouse idea
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22. MIS696A-Reading in MIS | U of Arizona
Data Management
Trend
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23. MIS696A-Reading in MIS | U of Arizona
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 environments and next-generation distributed DBMSs
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MIS696A-Reading in MIS | U of Arizona

24. MIS696A-Reading in MIS | U of Arizona
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)
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25. MIS696A-Reading in MIS | U of Arizona
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)
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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)
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27. Economics of Informatics
Trend
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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
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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
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30. Human Computer Interaction (HCI)
Timeline
Card, Stuart K, 1983, “The Psychology of Human-Computer Interaction”
Bush Vannevar, 1945, “As we may think”
George W, Furnas, 1986, "Generalized fisheye views"
Licklider, J. C. R., 1960, "Man-Computer Symbiosis"
Robertson, G., 1977, ”ZOG: A Man-Machine Communication Philosophy”
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"
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31. MIS696A-Reading in MIS | U of Arizona
HCI
Trend
We used four keywords to try and trend the research activities of HCI through year 1970 to 2000:
Information visualization OR (computer graphics AND information technology/system)
User interface AND information technology/system
"human computer interaction"
Nature language processing AND Information technology/system.
From the graphs we can see that HCI really began it’s growth in 1975, and the information visualization field booms since 1995.
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32. MIS696A-Reading in MIS | U of Arizona
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
Human-computer interaction design, with a focus on the theoretical background and conceptual models
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33. MIS696A-Reading in MIS | U of Arizona
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)
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34. Operations Management
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
Assembly line
Economic lot sizing
Quality control
Worker motivation
Complex system problems
Extensive development of OR tools
Widespread use of computers
Service quality and productivity
Management strategies: JIT, TQC
Factory Automation
Synchronous manufacturing
TQM
Business process reengineering
Electronic Enterprise
Supply chain management
E-commerce
Timeline
Linear programming – Simplex Algorithm
1950’s-60’s – OM starts to differentiate from OR and IM
1970’s – MRP, Scheduling, Inventory Control, Forecasting
1980’s – JIT, TQC
1990’s – BRP, TQM
2000’s – E-Commerce
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35. Operations Management
Trend
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36. Operations Management
Key Researchers & Contributors
George Danzig ( )
Linear Programming – Simplex algorithm
Edward W. Bowman ( )
University of Penssilvania
Production
Hau L. Lee
Stanford
Supply Chain
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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
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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
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39. MIS696A-Reading in MIS | U of Arizona
Social Informatics
Trend
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40. MIS696A-Reading in MIS | U of Arizona
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 ( )
Indiana University at Bloomington
electronic media to support communication
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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
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42. System Analysis and Design
Timeline
1930’s and 40’s – 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
The process of determining what an information system needs to do and how it will do
“analyzing” business requirements for information systems and “designing” information systems that fulfill those business requirements
Involves the logical design and physical design of the system
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43. System Analysis and Design
Trend
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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)
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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
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
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MIS696A-Reading in MIS | U of Arizona

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
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47. MIS696A-Reading in MIS | U of Arizona
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
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48. MIS696A-Reading in MIS | U of Arizona
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.
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MIS696A-Reading in MIS | U of Arizona