Transcript Leading MIS Researchers - National Center for Border Security and

Model of MIS and Leading
Researchers
The Scholarly Six
The University of Arizona
Agenda
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Past Projects – David
Motivation – David
Model Creation Process – Aaron, Kunpeng
Our Model – Noyan
MIS Classifier – Doug
Results – Doug
Future Direction – Shaokun
Leading Researchers
Conclusion
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Prior projects – key contributions
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1998
Laid the foundation – 7 sub-domains of MIS
 45 key researchers and publications
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1999
Expanded to 10 sub-domains
 47 key researchers and publications
 Behavioral vs. technical, rigor vs. relevance,
emerging vs. contracting trends
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Prior projects – key contributions
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2000
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Expanded to 15 sub-domains
90 key researchers and
publications
Visual representation
2001
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Contracted to 7 sub-domains
Timeline of each sub-domain’s
events and evolution
Commentary on future directions
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Prior projects – key contributions
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2002
Expanded to 9 subdomains
 Visual representation
– core – observation,
experimentation,
theory building, and
systems development
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Prior projects – key contributions
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2003
Affirmed 9 sub-domains
of prior year
 101 key researchers and
publications
 Behavioral vs. technical,
rigor vs. relevance,
theory vs. application
 End note library
 Visual representation
MIS Foundations
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Engineering
Management
Decision
Sciences
Human-Computer
Interaction
Database
Computer
Science
Social
Science
Artificial
Intelligence
MIS
Sub-domains
Economics of
Informatics
Collaboration
Social
Informatics
Systems Analysis
& Design
Economics
Applied
Mathematics
Communication
Psychology
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Prior projects – key contributions
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2004
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2005
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Contracted to 8 subdomains
Key institutions
Publication trends
2006
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Positivist and interpretivist
research paradigms, 17
research methodologies
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Motivation for our approach
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Descriptive  Normative model
Lack of significant improvement in
descriptive model in past few years
 Normative model requires strict
definition of domain and sub-domains
 Develop a foundation for automated
classification of publications
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Model Creation Process
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Phase One – Discussion and Initial Concepts
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Phase Two – Idea Generation and Brainstorming
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Alternative Strategies and Concepts
Initial Model of MIS Research
Literature Review
GroupSystems Session
Phase Three – Decision Model and Tool
Development
Phase Four –Testing and Results Analysis
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Timeline
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Phase One
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Debate and Discussion
What is MIS?
 Exclusive vs. Inclusive
 IT Artifacts
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Creation of the proposed MIS model
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Compromise of debate
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Initial MIS Model
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Phase Two – Literature Review
Wanda Orlikowski
Professor, MIT
“Desperately Seeking the IT in IT Research“
Information Systems Research
Ron Weber
Dean, University Minnesota
“Still Desperately Seeking the IT in IT Research“
MIS Quarterly
Crisis in the Information Systems
Discipline?
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Phase Two – GroupSystems
Session
10/25/2007 AGENDA
 11:50 AM What belongs in the MIS domain?
(Categorizer)
 12:20 PM What are the objectives we are trying to
accomplish here? (Categorizer)
 12:50 PM Vote (Vote)
 1:20 PM Ranking of Rules (Vote)
 1:50 PM Alternative Analysis (Alternative Analysis)
 2:20 PM Rule Development (Group Outliner)
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Class 2007 Contributions
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More Formal MIS Classification Model
Used GroupSystems for Building
Consensus
MIS Classification Tool
Initial Steps for Automation
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Phase Three
Decision Model
and
Tool Development
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Decision Model and Tool
Development
Decision tree model proposed
 Matrix model proposed
 Everyone did his model on Groove
 Finalized tree model
 Implemented tool
 Feedback from Dr. Jay
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Phase Four
Testing
And
Results Analysis
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Testing and Result Analysis
154 papers for testing
 Considering other factors
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Reference
 Keywords
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Result stats and analysis
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MIS Classification Model
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MIS Classification Model
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Distinguishing according to
domains:
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Functionality distinctions:
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System Analysis and Design
IS Design and Implementation
(with functionality distinctions)
Social Informatics
Economics of Information
IS Strategy Research (with
functionality distinctions)
HCI
IS Organizational Research
(with functionality distinctions)
IS Meta Research (with
functionality distinctions)
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Data Management
E-commerce
Information Assurance
Collaboration
Decision Sciences
Supply Chain Management
Workflow / Business Process
Management
Artificial Intelligence
Operations Management
Bioinformatics
Healthcare Systems
Accounting Information
Systems
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MIS Classification Model
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MIS Classification Model
Does the research describe, conceptualize or
theorize a technological component?
No
Yes
Is technological component treated as an
unchanging, discrete entity (black box)?
Is there a technological factor in the context,
motivation or background?
No
Yes
Is the focus on universal System Analysis and
Design Methodologies or a specific problem or a
specific system design and/or implementation?
Universal
System Analysis and
Design
No
Organizational Strategy or Meta Research
about MIS?
NOT MIS
Specific
Strategy
Meta
IS Design /
Implementation
IS Strategy
Research
About...
IS Meta
Research
About...
Distinction
according
to
functionality
Distinction
according
to
functionality
Distinction
according
to
functionality
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MIS Classification Model
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MIS Classification Model
Is technological component treated as an
unchanging, discrete entity (black box)?
Yes
Is technology a solely independent variable?
Yes
No
Is the component utilized or viewed as a tool?
Yes
Is the focus on the application or the value of
the technological component?
No
Value
Does it focus on organizational or behavioral
aspects?
Application
Does the research focus on perception
of technology, diffusion or capital?
Behavioral
Organizational
No
Yes
Is the focus on interactions
between human and computers?
IS
Organizational
No
Research
Yes
No
Is the research focused on economic
impact?
IS Strategy
Research
About...
HCI
Is the focus on social impacts of the
technological component?
Distinction
according
to
functionality
Yes
No
Is the focus on interactions
between human and computers?
Distinction
according
to
functionality
Yes
No
HCI
Yes
Social Informatics
No
NOT MIS
Economics of Information
Social Informatics
Is the focus on social impacts of the
technological component?
Yes
Social Informatics
No
NOT MIS
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MIS Classification Tool
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Developed in Oracle JDeveloper 10g (Java 1.5)
Codifies the MIS Decision Tree
Reads in “tab-delimited”
text file of Authors and
Papers
Also used to divide the
papers for classification
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MIS Classification Tool
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Outputs Two Files
Justification documentation and path taken
 Table Format for Microsoft Excel
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Class Diagrams
QuestionNode
QuestionTree
Main Window
Supplemental
Windows
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Brief Demonstration
Tool Demonstration
 Output Demonstration
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Classification Results
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Each person classified 27
papers using the tool
 Several disagreements
over classification
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Resolved twelve
Next step – everyone
classify all 154 papers and
calculate variances
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Classification Results
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IS Strategy Research
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IS Organizational Research
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IS Meta Research
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IS Design and Implementation
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Future Work
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Group Reclassification –
Disagreement in results
Tool, Model, or Person?
 Calculate error rate
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Link Directly to Endnote
 Store Results in a Database
 Automation based on key words
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Limitation
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Accuracy of our decision tree model
has not been validated
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It’s hard for people to make the right
decision
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Future Study
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Do some experiments to validate and
improve the questions and the model
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Analyzing key words or references can
help decision makers to make a better
decision
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Key words matching may be a potential
way of automating the process
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Leading MIS Researchers
Herbert A. Simon (1916-2001)
Carnegie Mellon University
Nobel Prize winner in Economics
Hugh J. Watson
University of Georgia
Decision Support Systems, Data Warehousing
Iris Vessey
Indiana University
Enterprise Resource Planning Systems
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Leading MIS Researchers
Jay F. Nunamaker
University of Arizona
Group Decision Support Systems
James T.C. Teng
The University of Texas at Arlington
Knowledge management, IS/IT outsourcing
James C. Wetherbe
Texas Tech University
Systems Analysis and Design
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Leading MIS Researchers
Ivar Jacobson
Rational Software, Ivar Jacobson Consulting
Invented: UML, Sequence Diagrams, Collaboration Diagrams
Izak Benbasat
University of British Columbia, Canada
Human Computer Interaction
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Leading MIS Researchers
Terry A. Winograd
• Stanford University
• Research Interests: Human Computer Interaction
• Professor Winograd's focus is on human-computer
interaction design, with a focus on the theoretical
background and conceptual models.
Tor Guimaraes
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Tennessee Tech University College of Business MBA
Program
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Research interests: Management of Technology, Expert
Systems
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Ranked as one of the top 12 researchers in the world by
Decision Line, the newsletter for the Decision Sciences
Institute, 1999
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Leading MIS Researchers
Tridas Mukhopadhyay
 Carnegie Mellon University
 Research Interests: business value of
information technologies
 Business Value of Information Technology: a
Study of Electronic Data Interchange---Best
paper awards of MISQ 1995
VARUN GROVER
 Clemson University
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Research Interests: e-business and knowledge management
 Recognized as the 3rd most published author in Gallivan, M.J.,
and Benbunan-Fich, R.“Analyzing IS Research Productivity: An
Inclusive Approach to Global IS Scholarship,”
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Leading MIS Researchers
VEDA C. STOREY
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Georgia State University
Research Interests: database design
INFORMS Best Paper Award for “Learning Across
Application Domains for Database Design Systems,”
Wanda J. Orlikowski
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Massachusetts Institute of Technology
Interactions between information
technology and the organization
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Leading MIS Researchers
William J. Kettinger
• Management Science Department , Moore School
of Business, University of South Carolina
• Research interests: Information Systems Service
Quality Business Process Management and
Enterprise Integration
William R King
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Editor in Chief MIS Quarterly
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Katz School of Business, University of Pittsburgh
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Research interests: information systems, strategic
planning, and management science
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Leading MIS Researchers
Allen Newell
Researcher, RAND & Carnegie Mellon
Artificial Intelligence
Contributed to Te Information Processing Language
(1956) and two of the earliest AI programs, the Logic
Theory Machine (1956) and the General Problem Solver
(1957)
Allen Dennis
Chair, Indiana University Kelley School
of Business
Collaboration Technology knowledge
management, and the Internet.
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Leading MIS Researchers
Andrew B.Whinston
Roy Cullen Centennial Chair Professor, University of
Texas Austin
Director, Center for Research in Electronic Commerce
Electronic Commerce pioneer
Hsinchun Chen
Professor, University of Arizona
Artificial Intelligence with contributions
to digital library, biomedical informatics,
and intelligence and security
informatics
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Leading MIS Researchers
Blake Ives
C.T. Bauer Chair in Business Leadership, University of
Houston
Contributions to information satisfaction, user
involvement in information systems development and the
customer service life cycle
David Parnas
Professor, McMaster University
Developed the concept of module
design leading to OOP
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Leading MIS Researchers
Daniel Robey
John B. Zellars Professor, Georgia State University
Editor-in-Chief, Information and Organization
Information systems development and consequences to
organizations
Chris Kemerer
David M. Roderick Professor , University
of Pittsburg
Management and measurement issues in
information systems
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Leading MIS Researchers
Amit Sheth
Researcher, University of Georgia
CTO , Semagix
Editor-in-Chief, International Journal on Semantic Web
and Information Systems
Semantic Web and Semantic Applications, Web and
Business Processes and Enterprise Information
Interoperability
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Leading MIS Researchers
Pamela Samuelson
• University of California (Berkeley, California)
• Social Informatics
• Copyright’s Fair use Doctrine and Digital
Data (1994)
Patrick Suppes
• Stanford University
• Psychology, Language and Logic
• Machine learning comprehension grammars for ten languages
(1996)
Robert Coase
• University of Chicago, Professor Emeritus of Economics
• Transaction Cost, Durable Goods Monopoly Firms have no
Power Conjecture (Future Pricing Pressure)
• The Nature of the Firm (1937)
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Leading MIS Researchers
Robert Johansen
• Institute for the Future (Palo Alto, CA)
• Collaboration
• Social evaluations of teleconferencing (1977)
Russell Ackoff
• University of Pennsylvania
• Systems Thinking
• Management Misinformation Systems (1967)
Salvatore March
• Vanderbilt University
• Data Management
• Allocating data and operations to nodes in distributed database
design (1995)
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Leading MIS Researchers
Sirkka Jarvenpaa
• University of Texas at Austin
• E-Commerce, Collaboration
• Communication and trust in global virtual teams
(1999)
Sudha Ram
• University of Arizona
• Data Management
• Intelligent database design using the unifying semantic model
(1995)
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Leading MIS Researchers
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Douglas Engelbart
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Stanford University, Bootstrap Institute
Invented the computer mouse
Human-Computer Interaction
“A research center for augmenting human
intellect” Proceeding of the AFIPS
Conference (1968)
Douglas Vogel
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City University of Hong Kong
Group support systems
“Information technology to support electronic
meetings” MIS Quarterly (1988)
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Leading MIS Researchers
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Edgar Codd
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IBM
Created relational model for database
management
Database Management
“A relational model for large shared data banks”
Communications (1970)
Eric Clemons
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University of Pennsylvania
Information technology and business strategy;
economics of information
“The impact of information technology on the
organization of economic activity” Journal of
Management Information Systems (1993)
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Leading MIS Researchers
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Erik Brynjolfsson
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MIT
Information technology and business
strategy; economics of information
“Frictionless commerce? A comparison of
internet and conventional retailers”
Management Science (2000)
Gerardine DeSanctis
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Duke University
Group support systems
“A foundation for the study of group decision
support systems” Management Science
(1987)
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Leading MIS Researchers
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Gordon Davis
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University of Minnesota
Godfather of MIS
Information technology strategy; humancomputer interaction; social informatics
“User acceptance of information technology:
toward a unified view” MIS Quarterly (2003)
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Leading MIS Researchers
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JoAnne Yates
Massachusetts Institute of Technology
Social Informatics
Electronic Markets and Electronic Hierarchies (1987)
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John McCarthy
Stanford University
Artificial Intelligent
Main research was focused on common sense reasoning
and some applications to expert knowledge system.
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Leading MIS Researchers
 Joseph
Valacich
Washington State University
Collaboration Research
Effects of Anonymity and Evaluative Tone on
Idea Generation in Computer-Mediated Groups
（1990）
 Karl
Shapiro
University of California, Berkeley
Economics
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Leading MIS Researchers
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Kenneth Kraemer
University of California, Irvine
Use and impact of information technology (IT) in organizations
Globalization of IT production and use
Management of information systems
Outsourcing and offshoring of new product development
Payoffs from IT investments
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Won Kim
Sungunkwan University
Object-Relational Database Systems
Semantic Semantics and implementation of schema evolution
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Leading MIS Researchers
 Magid
Igbaria
Claremont Graduate University
Computer system performance, correlates of
computer usage, MIS personnel, and virtual
societies and workplaces
 Mark
N. Frolick
Williams College of Business at Xavier University
Business Intelligence
Business performance management, business
intelligence, data warehousing, executive
information systems, e-business, cycle time
reduction, and the diffusion of information
technology in organizations.
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Leading MIS Researchers
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Michael Stonebraker
Massachusetts Institute of Technology
Distributed Database Systems, Operating
Systems
Mariposa: a wide-area distributed database
system (1996)
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