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MIS

MIS. A Model of the MIS Domain and its Important Papers, Key Contributors, and Leading Research Universities. MIS 696A Dec 16, 2004 Dr. Jay Nunamaker. Project Objectives. Build on existing mappings of the MIS domain

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MIS

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  1. MIS A Model of the MIS Domain and its Important Papers, Key Contributors, and Leading Research Universities MIS 696A Dec 16, 2004 Dr. Jay Nunamaker

  2. Project Objectives • Build on existing mappings of the MIS domain • Identify top academic contributors, adding a “completeness check” with sub-domain expert • Identify research papers within each sub-domain and re-classify them according to new framework • Display the landmark events for each discipline in a timeline format • Identify the top research institutions within the MIS domain

  3. Classification Framework Application Foundational Extension Technical Behavioral Exploratory Theory Review

  4. School Listing Methodology • Sources of rankings: • An Assessment of Individual and Institutional Research Productivity in MIS • Im, Kim, and Kim • Decision Line Dec/Jan 1998 • 50 schools • Follow-up to same study • Im, Kim, and Kim • Decision Line Sept/Oct 1998 • 50 schools

  5. School Listing Methodology • Sources of rankings: • An Evaluation of Research Productivity in Academic IT • Athey and Plotnicki • Communications of the AIS, March 2000 • 24 schools • U.S. News and World Report “Best Graduate Schools 2004” • MIS rankings • 26 schools • U.S. News and World Report “Best Graduate Schools 2005” • MIS rankings • 28 schools

  6. School Listing Results • Goal is to give an overview of academic institution choices to a prospective MIS student • Final List: 66 universities around the world • 57 in the United States • 3 in Canada • 6 elsewhere in the world

  7. School Listing Results - Tiers • Classified into tiers based on which studies schools were listed in • Ten tiers in all • Distinction made between “research-centric” and “student-centric” rankings • Research-centric: three studies that focused on research productivity • Student-centric: USN&WR rankings

  8. School Listing Results - Tiers • 5 tiers of schools listed in both research- and student-centric rankings: • Tier I (7 schools) • Tier II (4) • Tier III (6) • Tier IV (3) • Tier V (2)

  9. School Listing Results - Tiers • 3 tiers of schools listed in only the research-centric rankings: • Tier I Research (10 schools) • Tier II Research (16) • Tier III Research (8)

  10. School Listing Results - Tiers • 2 tiers of schools listed in only the student-centric rankings: • Tier I Teaching (5 schools) • Tier II Teaching (5)

  11. School Listing - Categorizations • We attempted to highlight the domain areas in which each of our schools participates • Four methods of identifying areas of interest: • Faculty interests • Funded labs • Key researchers • Department name

  12. School Listing - Interests

  13. Artificial Intelligence • Hsinchun Chen • University of Arizona • Digital Libraries and Visualizations • Edward Feigenbaum • Stanford University • Knowledge-Based Systems Research • Marvin Minsky • MIT • Important work in Neural Networks • Herbert A. Simon • Carnegie Mellon University • Father of Artificial Intelligence, General Problem Solver

  14. Artificial Intelligence • Preliminary Description of General Problem Solving - I • Newell, J., Shaw, C. and Simon, H.A.(1957) • Dendral and Meta-dendral: Roots of Knowledge Systems and Expert System Applications • Feigenbaum, E. A. and Buchanan, B. G. (1993) • Learning to reason • Khardon, R. and Roth, D. (1997)

  15. Artificial Intelligence

  16. Collaboration • George P. Huber • University of Texas at Austin • Organizational change, organizational design, and organizational decision making • Jay F. Nunamaker • University of Arizona • Group Decision Support Systems and Electronic Meeting Systems • Murray Turoff • New Jersey Institute of Technology • Delphi method

  17. Collaboration • Issues in the Design of Group Decision Support Systems • Huber, G.P. (1984) • Electronic Meeting Systems to Support Group Work • Nunamaker, J.F. Jr., et al (1991) • Delphi and its Potential Impact on Information Systems • Turoff, M. (1971)

  18. Collaboration

  19. Data Management • Edgar F. Codd (1924-2003) • IBM Research Laboratory • Relational databases • Peter Pin-Shan Chen • Louisiana State University • ER model, database design, CASE • Michael Stonebraker • University of California at Berkley • INGRES and OO Databases • Ray Boyce • IBM System R • SQL and Boyce-Codd Normal form PhotoNot Available

  20. Data Management • A Relational Model of Data for Large Shared Data Banks • Codd, E. F. (1970) • The Entity-Relationship Model – Toward a Unified View of Data • Chen, P. P. (1976) • The design and implementation of INGRES • Stonebraker et al. (1976) • Distributed data base management: Some thoughts and analyses. • Mohan, C. (1980)

  21. Data Management

  22. Decision Sciences • George Dantzig • Stanford University • Optimization, Linear programming • Hau Lee • Stanford University • Supply chain management, Global logistic system design and control • Marshall Fisher • University of Pennsylvania • Supply Chain Management and Lagrangian Relaxation • Ralph Sprague • University of Hawaii • DSS, Electronic Document Management

  23. Decision Sciences • A Framework for the Development of Decision Support Systems • Sprague, R. (1980) • Electronic Commerce: Structures and Issues • Zwass, V. (1996) • Decomposition Principle for Linear Programs • Dantzig, G.B.; Wolfe, P (1960)

  24. Decision Sciences

  25. Economics of Informatics • Yannis Bakos • New York University • Economic and business implications of information technology, the Internet, and online media • Erik Brynjolfsson • MIT • Organization of work, productivity, pricing and sharing of digital information. • Ronald Coase • University of Chicago • Nobel Laureate, transaction costs • Haim Mendelson • Stanford University • Electronic business, networks, and financial markets

  26. Economics of Informatics • Management Misinformation Systems • Ackoff, R.L. (1967) • Bundling information goods: Prices, profits, and efficiency • Bakos, Y. and Brynjolfsson, E. (1999) • The Nature of the Firm • Coase, R. (1937)

  27. Economics of Informatics

  28. Human Computer Interaction • Douglas C. Englebart • Stanford University • Mother of all demos, invented the mouse • Ben Shneiderman • University of Maryland • User interface design • George W. Furnas • University of Michigan • Information access, visualization • Terry A. Winograd • Stanford University • HCI design theoretical background and conceptual models

  29. Human Computer Interaction • The Vocabulary Problem in Human-System Communication • Furnas, G. W., et al (1987) • Direct Manipulation: A Step Beyond Programming Language • Shneiderman, B. (1993) • A Language/Action Perspective on the Design of Cooperative Work • Winograd, T. (1988)

  30. Human Computer Interaction

  31. Social Informatics • Rob Kling • Indiana University • Effective use of electronic media to support scholarly and professional communication. • Sara Kiesler • Carnegie Mellon University • Social and behavioral aspects of computers, group dynamics, computer-based communication technologies. • John L. King • University of Michigan • Design and development of socio-technical information infrastructures

  32. Social Informatics • Computerization and Social Transformations • Kling, R. (1991) • Institutional Factors in Information Technology Innovation • King, J. L., et al (1994) • Reducing Social Context Cues: Electronic Mail in Organizational Communication • Sproull, L. S. and Kiesler, S. (1986)

  33. Social Informatics

  34. Systems Analysis and Design • Barry Boehm • University of Southern California • Developed the spiral model of software development • Grady Booch • IBM/Rational • Booch method and UML • Ole-Johan Dahl & Kristen Nygaard • University of Oslo • Invented object-oriented programming • Edward Yourdon • Cutter Consortium • Structured analysis and design, author of 26 books

  35. Systems Analysis and Design • Simula—An Algol-Based Simulation Language • Dahl, O. and Nygaard, K. (1966) • Managing the Development of Large Systems: Concepts and Techniques • Royce, W. W. (1970) • Structured Design • Stevens, W. P., et al (1974) • Structured Analysis (SA): A Language for Communicating Ideas • Ross, D. T. (1976) • A Spiral Model of Software Development Enhancement • Boehm, B. W. (1988)

  36. Systems Analysis and Design

  37. Conclusion Our Contributions: • Complete, concise, and more accurate reflection of the MIS academic domain • Updated framework with addition of role of paper in development of sub- domain • Selection and grouping of top academic institutions based on the type of research conducted in each university

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