Methodological Review of Key Research by Key
People within Information Systems Management
Prepared By:
Yi-da (Allen) Chen
Yan (Mandy) Dang
Zheren (Ben) Hu
Sean Humpherys
Chang Heon Lee
Kevin Moffitt
Jing Sun
Sven Thoms
Roopali Wakhare
Yulei (Gavin) Zhang
MIS696A: Readings in MIS Fall 2006
Oversight by Dr. Jay F. Nunamaker, Jr.
Thanks to the assistance from Chris Diller
Methodological Review of Key Research by Key People within Information Systems Management
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Abstract
In this research project, we analyzed 161 key research papers for the methodologies used. Finding
were presented by methodology type and by MIS domain. We define each methodology and discuss their
relationship to positivism and interpretivism, which are also compared and discussed. After grouping the
research papers by methodology some interesting findings are available, summarized by the following
table.
MIS Domain
Predominant Methodology Used Among
Key Papers (determined by count)
AI
Lab experiments
Collaboration
Lab experiments & prototyping
Data Management
Design Science
Economics of Information
Mathematical modeling
HCI
Descriptive research
Operations Management
Mathematical modeling
Social Informatics
Descriptive research, argumentative research, and
field study used most frequently
System Analysis and Design
Design Science
Take as a whole, design science is used in 22% (35 of 161 papers) of all the key research papers,
which frequency is double the nearest competitor. If you combine design science with system
development and prototyping (because the two later methods also emphasize creating artifacts and could
easily be constructed using design science principles) the frequency is 42% (67 of 161 papers) of all key
research papers. The overall conclusion is that design science and other methods that develop artifacts, are
the predominant research methodologies used by key MIS researchers among their key papers.
Future classes should read the Limitations and Future Study section of this paper for important
tips on how to conduct follow up research.
Methodological Review of Key Research by Key People within Information Systems Management
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Table of Content
Abstract ................................................................................................................................................................................ 2
Introduction ........................................................................................................................................................................ 5
Contributions from Classes 1998 through 2005 .................................................................................................... 5
Contributions by Class of 2006 ................................................................................................................................. 5
Limitations and Future Research............................................................................................................................... 6
Definitions...................................................................................................................................................................... 7
Research Philosophy .................................................................................................................................................... 8
Ontology .................................................................................................................................................................... 8
Epistemology ............................................................................................................................................................ 9
Research Paradigms in IS ............................................................................................................................................ 9
Positivism ................................................................................................................................................................ 10
Interpretivism ......................................................................................................................................................... 10
Others....................................................................................................................................................................... 10
Defining Research Methodologies............................................................................................................................... 11
Action Research ..................................................................................................................................................... 11
Argumentative ........................................................................................................................................................ 11
Description Research ............................................................................................................................................ 11
Design Science........................................................................................................................................................ 11
Case Studies............................................................................................................................................................. 11
Ethnographic research .......................................................................................................................................... 11
Field Experiments.................................................................................................................................................. 12
Field Studies ............................................................................................................................................................ 12
Game-Role Playing................................................................................................................................................ 12
Historical methodology ........................................................................................................................................ 12
Laboratory Experiment ........................................................................................................................................ 12
Mathematical Models ............................................................................................................................................ 12
Pluralistic Methodology ........................................................................................................................................ 12
Prototyping.............................................................................................................................................................. 13
Simulation................................................................................................................................................................ 13
System Development ............................................................................................................................................ 13
Survey/Interviewing.............................................................................................................................................. 13
Methodologies Relationship to Positivism and Interpretivism......................................................................... 14
Methodological Review of Key Research by Key People within Information Systems Management
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Presentation of Findings ................................................................................................................................................ 15
Key Research Using Argumentative Methodology ............................................................................................. 17
Key Research Using Action Research Methodology .......................................................................................... 18
Key Research Using Description Research Methodology................................................................................. 19
Key Research Using Design Science Methodology ............................................................................................ 23
Key Research Using Case Studies Methodology ................................................................................................. 28
Key Research Using Ethnographic Research Methodology ............................................................................. 30
Key Research Using Field Experiment Methodology ........................................................................................ 31
Key Research Using Field Study Methodology.................................................................................................... 32
Key Research Using Game-Role Playing Methodology .................................................................................... 33
Key Research Using Historical Methodology ...................................................................................................... 34
Key Research Using Laboratory Experiment Methodology............................................................................. 35
Key Research Using Mathematical Model Methodology .................................................................................. 37
Key Research Using Pluralistic Methodology....................................................................................................... 39
Key Research Using Prototyping Methodology .................................................................................................. 40
Key Research Using Simulation Methodology..................................................................................................... 42
Key Research Using System Development Methodology................................................................................. 43
Key Research Using Survey Methodology ............................................................................................................ 45
Methodologies by MIS Domain................................................................................................................................... 46
Conclusion......................................................................................................................................................................... 51
References ......................................................................................................................................................................... 52
Methodological Review of Key Research by Key People within Information Systems Management
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Introduction
The purpose of this research is to familiarize the reader with key researchers and key research in
the Management of Information Systems (MIS) research discipline along with the related methodological
preferences in said research.
Contributions from Classes 1998 through 2005
Previous classes have compiled excellent research to familiarize readers with the MIS domain,
including key researchers and their respective research. The Class of 1998 began the process by listing
seven subdomains of MIS and for each subdomain listed over 45 influential researchers with a one
paragraph biography. The Class of 1999 created a list of 47 key researchers in MIS grouped by ten
research areas while describing in several paragraphs each key research. The Class of 2000 expanded the
research areas to 15, listing 90 key researchers and highlighted research. The Class of 2001 presented a
timeline of events in MIS and defined eight subdomains of MIS. The Class of 2002 re-categorized MIS
into nine subdomains with a visual representation of the subdomain relationships; and they described
seminal works for each subdomain. The Class of 2003 identified the top 101 MIS researchers, categorizing
them by subdomain. The class of 2003 also presented a three-dimensional model of MIS research
characteristics with axis representing behavior verses technical, application verses theory, and rigor verses
relevance. Each seminal work was generalized onto the three-dimensional model for easy comprehension.
Profiles of researchers with key contributions were also identified. The Class of 2003 provided future
classes with an End Note reference library of the data. The Class of 2004 contributed to the body of
knowledge by identifying U.S. departments of key research and key researchers. The Class of 2005
compiled the models of MIS from 2002, 2003, and 2004 into one comprehensive model. With this model,
the class identified key research. In addition, the Class of 2005 included charts explaining the quantitative
contribution of research from each subdomain.
Contributions by Class of 2006
To add to the body of knowledge regarding key people and key research in MIS, the Class of 2006
will contribute in the following ways.
1. Identify and discuss common research methodologies and methodological paradigms
2. Discuss and compare positivism and interpretism paradigms
Methodological Review of Key Research by Key People within Information Systems Management
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3. Categories key research and key MIS researchers by methodology to provide precedence for
methodologies from key research
4. Identify new key research and key individuals since the previous studies
5. Categorize methodologies used in MIS by domain
6. Compile PDF files of key research into a class repository for use by future classes
7. Update the End Note reference database as appropriate for use by future classes
Limitations and Future Research
Presentation of the findings to an audience of researchers had the unplanned consequence of
misconceptions regarding author’s prime choice in methodology. For which we take full responsibility for
and wish to explain our approach to prevent the same from occurring with the readers of this paper.
Our research approach was to take the 161 key papers in MIS, group them by methodology type,
and include author information; regardless of whether that researcher was know for prominence in a
particular methodology. We let the paper classification speak for itself. Repeated comments of “That
researcher isn’t a field study expert, she’s an ethnographic researcher,” gave indication that it was assumed
that by placing an author in a methodology category we gave implication to it being the authors only or
predominant methodology. Predominance cannot be construed by this limited sampling, as only the
authors’ key research, not collective research, was analyzed. However, the findings are accurate according
to the approach we used.
This unforeseen consequence does the a significant positive consequence of identify a new
opportunity for research. Research audiences desire to see which researchers are responsible for or have
had major contribution to a particular methodology. The question on their mind is “When I hear design
science (or any methodology) who should I think of as major contributors?” Future research projects can
answer this question, which will require a distinct approach to the one used in our research.
This section is typically found at the end of a paper, but we desired to present this material early to
make the read aware of our approach and the various implications of it.
Methodological Review of Key Research by Key People within Information Systems Management
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Definitions
While there is academic debate as to an all encompassing definition of MIS, this study uses the
succinct and widely accepted definition of Brabb1:
A management information system is the complement of people, machines, and procedures that develops the
right information and communicates it to the right managers at the right time.
Using this definition, each of the previous classes from 1998 through 2005 have created a
conceptual model of MIS. Each class has subdivided MIS into various subdomains, ranging from 7 to 9
subdomains. While each class justifies their uniqueness, the distinguishing characteristics have become
progressively consubstantial. For this reason and until a completely novel model of MIS is developed, we
choose to follow the model presented by the Class of 2005 and refer the reader to their paper for defense
and justification of the model (See Figure 1).
While a difficult and potentially controversial task, defining “key research” and “key researchers”
has precedence from previous MIS697 class research projects. In previous classes, the definition of “key”
is those papers and individuals that have highly influenced and contributed to the IS body of knowledge.
In an attempt to employee this definition, previous classes have used interviews with established
researchers and citation figures to guide their selection. This paper accepts the definition and selection
criteria of the past eight papers and will specifically use the list of key research and researchers provided by
the Class of 2005’s research paper, with a few updates for recent research. The focus of this paper isn’t to
dispute the past papers’ findings, but to augment their findings with a discovery and discussion of the
methodologies used by key researchers. We wish we could include all the great quality research from IS in
this paper, which thankfully would include thousands of papers. But realizing that this paper has a limited
scope, we appreciate the reader’s patience with the selection process.
1
Brabb, George J. Computers and Information Systems in Business. Houghton Mifflin Co., Boston.
1976, pp. 26, 37.
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Figure 1: Model of MIS with eight subdomains presented by Class of 2005 and adopted for this study
Using the MIS model from previous classes has the advantage of allowing our research efforts to
focus on a unique contribution: to identify methodologies used by key researchers in their influential
research. We hope that this data will provide precedence for future researchers in selecting and justifying a
choose research methodology.
Research Philosophy
There are two research philosophies that guide scientific pursuit: ontology and epistemology.
Ontology
Ontology was originally developed in philosophy domain, in which it refers to being or existence.
The definition of ontology in a dictionary has two meanings: “1. A science or study of being: specifically, a
branch of metaphysics relating to the nature and relations of being; a particular system according to which
problems of the nature of being are investigated; first philosophy; 2. a theory concerning the kinds of
entities and specifically the kinds of abstract entities that are to be admitted to a language system.” (Inc
Merriam-Webster, 2002). The first definition is commonly utilized in traditional philosophy, while the
second one is popular in Artificial Intelligence and Knowledge Representation (Corazzon, 2006). In the
present study, we will employ the general concept of ontology in philosophy and examine the
assumptions extracted based on it for the methodology in MIS.
Methodological Review of Key Research by Key People within Information Systems Management
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From the philosophical perspective, ontology is the science which “provides criteria for
distinguishing various types of objects (concrete and abstract, existent and non-existent, real and ideal,
independent and dependent) and their ties (relations, dependences and prediction)” (Corazzon, 2006). It
can be said to study conceptions of reality.
Epistemology
Epistemology is a philosophy branch which studies what is knowledge and how to obtain
knowledge. In science, two fundamental problems encountered by every researcher are “what is
knowledge?” and “how do we acquire knowledge?” which are primarily questions that epistemology
addresses.
Epistemology has three basic elements – truth, belief, and judgment, and it addresses the process
and outcome that how human believe a justified truth. Examining the history of epistemology, we can
find that the first theories about knowledge emphasized knowledge’s absolute, permanent character,
whereas the later theories stressed its relativity or situation-dependence, its continuous development or
evolution, and its active interference with the world and its subjects and objects (Heylighen, 1993). Logic
and empirical methods are emphasized in epistemology. Empiricism and rationalism are two
epistemological positions that dominated philosophy after Renaissance. According to the former one,
knowledge is obtained through processes that subjects perceived the external objects through their
sensory organs – ear, eye, etc., and transfer to their brain or mind; while the latter considers that
“knowledge results from the organization of perceptual data on the basis of inborn cognitive structures”
(Heylighen, 1993).
Research Paradigms in IS
Positivism dominated in IS in the last two decades, and methodologies in most articles are
traditional due to the following of natural sciences (Alavi, Carlson, & Brooke, 1989). However, along with
the development of Information System, other important research methodology paradigms, such as
interpretivism and pragmatism, are reconsidered and integrated with positivism by researchers (Galliers &
Land, 1987; Lee, 1991; Falconer & Mackay, 1999; Goles & Hirschheim, 1999; Mingers, 2001; Johnson &
Onwuegbuzie, 2004; Weber, 2004; Marcon & Gopal, 2005).
Methodological Review of Key Research by Key People within Information Systems Management
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Positivism
Positivism embraces the “objective” attribute of ontology. It postulates that the world is
comprised by objects and structures which “exist as empirical entities, on their own, independent of the
observer’s appreciation of them” (Goles & Hirschheim, 2000). The reality or realism of ontology is
adopted by positivists. They consider objects and subjects who observe these objects are separate and
independent things (Weber, 2004).
Under the assumptions of epistemology, positivists should obtain knowledge based on the reality
which exists beyond the human mind. They believe that subjects’ perception of the world reflects an
objective reality which is independent to the subjects, and the reality provides the foundation for human
knowledge (Weber, 2004).
Interpretivism
Interpretivists believe that objects and the subjects who observe these objects cannot be
separated. They think the reality in a society is the product of a series of processes by which social subjects
define and negotiate the meaning of the world. There are both subjective and objective characteristics of
the world. The subjective characteristics reflects how human interpret that meaning, while the objective
characteristics reflects an intersubjective reality – the negotiation about that meaning (Weber, 2004).
From epistemology perspective, interpretivists believe that knowledge is derived from everyday
concepts and meanings. Knowledge built up by human reflects subjects’ personal experience and
background. Therefore, knowledge is constituted by human intentionally. Researchers enter the everyday
social world in order to grasp the socially constructed meanings and then reconstruct these meanings in a
social scientific language.
Others
Besides the argument of positivism and interpretivism among IS researchers, some other research
methodology paradigms are also proposed for future research. Pragmatism, based on the philosophy of
seeking truth value (Johnson & Onwuegbuzie, 2004), has emerged as “a fresh perspective on research”
(Goles & Hirschheim, 2000).
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Defining Research Methodologies
The following are several methodologies used in IS research. While the list attempts to be
comprehensive, some may argue that a particular methodology is described by another. We recognize that
there may be overlap, and we discuss the relationship between methodologies in the next section of this
paper.
Action Research
In action research, the researcher wants to try out a theory with practitioners in real situations,
gain feedback from this experience, modify the theory as a result of this feedback and try it again. Action
research consists of many iteration. Each iteration of the action research process adds to the theory so it is
more likely to be appropriate for a variety of situations.
Argumentative
Argumentative research uses logical arguments to arrive at a supposed truth. Postulates and
axioms are constructed into a logical progression, that if all true, the conclusion must also be true.
Description Research
In…..
Design Science
Creates and evaluates IT artifacts intended to solve identified organizational problems. Design
science is inherently a problem solving process. DS seeks to create innovations that define the idea,
practices, technical capabilities, and products through which the analysis, design, implementation,
management, and use of IS can be effectively and efficiently accomplished. DS can use a combination of
other research methodologies to achieve the research aim.
Case Studies
A case study is a particular method of primarily qualitative research. Rather than using large
samples and following a rigid protocol to examine a limited number of variables, case study methods
involve an in-depth, longitudinal examination of a single instance or event: a case.
Ethnographic research
Ethnography refers to the genre of writing or research that presents qualitative description of
human social phenomena, based on fieldwork. Ethnography presents the results of a holistic research
method founded on the idea that a system's properties cannot necessarily be accurately understood
Methodological Review of Key Research by Key People within Information Systems Management
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independently of each other. The genre has both formal and historical connections to travel writing and
colonial office reports. Several academic traditions, in particular the constructivist and relativist paradigms,
claim ethnographic research as a valid research method. It can also include case suites, interviews, longterm studies of sites.
Field Experiments
Research done in a less controlled, natural environment, but must still be quantitative and include
experiment research principles such as random selection.
Field Studies
Research done not in a laboratory but in the natural environment; it may be observational only, it
may include experimental interaction with the subjects in the field.
Game-Role Playing
As-if experiments in which the subject is asked to behave as if he or she were a particular person
in a particular situation. It requires a human subject playing a role or simulating a behavior. It may be
conducted in a laboratory or interactively in the field.
Historical methodology
The historical method comprises the techniques and guidelines by which historians use primary
sources and other evidence to research and then to write history. The question of the nature, and indeed
the possibility, of sound historical method is raised in the philosophy of history, as a question of
epistemology. The examination of societies of social unites over time and in comparison with one
another. Ideographic.
Laboratory Experiment
This methodology is the most common and consists of empirical and quantitative research done
in a controlled environment.
Mathematical Models
Abstract model using mathematics to describe system behavior; include independent variables, constants;
may be derivable through proof; has a quantitative outcome that is verifiable via a proof or via
experiments.
Pluralistic Methodology
This methodology differs from the reset in that if encourages using multiple research
methodologies to achieve the scientific goal.
Methodological Review of Key Research by Key People within Information Systems Management
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Prototyping
Research to discover solutions to problems. Developing a prototype, testing the prototype with
measurable results.
Simulation
Enhances purely mathematical models when elementary functions alone cannot describe the
solution. Generates samples of data from running multiple simulation, usually includes variables too
numerous to put into one mathematical model or that cannot be derived via a mathematical proof and is
generally not experimentally verifiable in the full-scale natural environment.
System Development
This research methodology can be thought of as “proof by demonstration.” It consists of five
stages; concept design, constructing the architecture of the system; prototyping; product development;
technology transfer.
Survey/Interviewing
This is a research methodology that relies on gathering research data via interviews and surveys
instruments. The data is quantitative but usually reflects subjective opinions on a qualitative matters.
Methodological Review of Key Research by Key People within Information Systems Management
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Methodologies Relationship to Positivism and Interpretivism
The following discussion presents the relationship between the various methodologies. The table
below represents a relative classification of methodology in relation to positivism and interpretivism. The
further to the left of the column, the more a methodology contains positivistic characteristics. We
acknowledge that this representation is more subjective than our quantitative minds might desire, it is a
generalization based on descriptions found in published papers on methodology characteristics and from
interviews with experienced researchers.
METHODOLOGY
Survey
Interview
Observation
Case Study
Field Study
Field Experiment
Lab Experiment
Simulation
Prototyping
Product Development
Technology Transfer
Conceptual Framework
Mathematical Modeling
Historical Methods
Pluralistic
Design Science
Ethnographic Research
Game / Role Playing
Argumentative
Descriptive
Action Research
POSITIVIST
INTERPRETIVIST
Methodological Review of Key Research by Key People within Information Systems Management
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Presentation of Findings
The following findings group the key researches and respective key research by the methodologies
employed in the particular research paper. We group nearly 300 research papers in this manner. A
particular research paper may appear in more than one category if more than one methodology was used.
We encourage the reader to visit the previous class papers to discover additional biographical information
about each author, such as dominate domain of focus, awards won, description of research contribution,
etc.
In addition to presenting our data, we have chosen to combine a graphical classification of each
paper for our readers benefit. This graphical classification was developed by the Class of 2003 and
augmented by the Class of 2005. It will assist the reader in quickly comprehending additional information
about the particular research paper in questions based on three factors, listed below, which are transposed
onto a three-axis graph.

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 research that relies on interpreting observable behavior.

Rigor / Relevance: Rigorous research typically involves exact, mathematical modeling.
Relevant research is generalized for use by practitioners.
Graphics to be used to classify papers
Behavioral
Theory
Relevant
Technical
Theory
Relevant
Behavioral
Application
Relevant
Technical
Application
Relevant
Behavioral
Theory
Rigor
Technical
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
Behavioral
Application
Rigor
Technical
Application
Rigor
16
Methodological Review of Key Research by Key People within Information Systems Management
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Key Research Using Argumentative Methodology
The following key research and researchers use argumentative methodology.
Author(s)
Murray Turoff
Vladimir Zwass
Murray Turoff
Russell L Ackoff
Barry W. Boehm
Vannevar Bush
Key Research
MIS Domain
Computer Mediated
Communication Requirements
for Group Support
Collaboration
E-Commerce: Structures and
Issues (1996)
Economics and
Informatics
Delphi and its Potential Impact
on Information Systems
Collaboration
Management Misinformation
Systems
System
Analysis and
Design
Software Risk Management
System
Analysis and
Design
As We May Think
Behavioral
Application
Relevant
Technical
Theory
Rigor
Behavioral
Application
Rigor
Social
Informatics
Newell, Allen
Card, Stuart K
The Prospects for Psychological
Science in Human-Computer
Interaction
HCI
Parnas, David Lorge
Software Engineering Programs
are not Computer Science
Programs
Systems
Analysis and
Design
Computerization and Social
Transformations (1991)
Social
informatics
Rob Kling
MIS Characteristic Model
Behavioral
Theory
Relevant
Technical
Theory
Relevant
Behavioral
Theory
Relevant
Behavioral
Theory
Relevant
Technical
Theory
Rigor
Behavioral
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
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Key Research Using Action Research Methodology
The following key research and researchers use action research methodology.
Author(s)
Sara Kiesler
Key Research
Internet paradox: A social
technology that reduces social
involvement and psychological
well-being?(1998)
MIS Domain
Social
Informatics
MIS Characteristic Model
Behavioral
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
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Key Research Using Description Research Methodology
The following key research and researchers use description research methodology.
Author(s)
Erik Brynjolfsson
Douglas C. Engelbart
Clarence A. Ellis
Marshall L. Fisher
George P. Huber
George W. Furnas
Key Research
MIS Domain
The productivity paradox of
information technology
Social
Informatics
Augmenting Human Intellect: A
Conceptual Framework(1962)
HCI
Office Information Systems and
Computer Science(1980)
System
Analysis and
Design
Groupware - Some Issues and
Experiences(1991)
System
Analysis and
Design
The Lagrangian Relaxation
Method for Solving Integer
Programming Problems(1981)
Operations
Management
Issues in the design of group
decision support systems(1984)
Collaboration
Effective View Navigation(1997)
HCI
MIS Characteristic
Model
Behavioral
Theory
Relevant
Technical
Application
Rigor
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Application
Rigor
Shamkant B. Navathe
Fundamentals of database
systems(1989)
Data
Management
Technical
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
Stuart E. Madnick
Ivar Jacobson
Amit P. Sheth
Richard Hull
Roger King
Gamma, Erich
Helm, Richard
Johnson, Ralph
Software project dynamics: an
integrated approach(1991)
Data
Managemtn
Object Oriented Software
Engineering: A Use Case Driven
Approach(1992)
System
Analysis and
Design
The Unified Software
Development Process(1999)
System
Analysis and
Design
An Overview of Workflow
Management: From Process
Modeling to Workflow
Automation Infrastructure(1995)
System
Analysis and
Design
20
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Semantic database modeling:
survey, applications, and research
issues(1987)
Design Patterns: Elements of
Reusable Object-Oriented
Software(1995)
Vlissides, John
Im, Kun Shin
Kim, Kee Young
Kim, Joon S.
Tzilla Elrad
Robert E. Filman
A Response to "Assessing
Research Productivity: Important
But Neglected
Considerations"(1998) and An
Assessment of Individual and
Institutional Research
Productivity in MIS
Aspect-Oriented Programming:
Introduction(2001)
Atef Bader
Myers, Brad A.
A Brief history of Human
Computer Interaction
Technology
HCI
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Norman, Donald A.
The design of everyday things
21
HCI
Technical
Application
Relevant
Nunamaker, J. F., Jr.
Briggs, R.O.
Mittleman, D.D.
Vogel, D. R.
Balthazard, P.A.
Lessons from a Dozen Years of
Group Support Systems
Research: A Discussion of Lab
and Field Findings
Collaboration
Ram, Sudha
Guest Editor's Introduction:
Heterogeneous Distributed
Database Systems
Data
Management
Pamela Samuelson
Pamela Samuelson
Sawyer, S
Carl Shapiro
Edsgar W. Dijkstra
Edsgar W. Dijkstra
Behavioral
Application
Rigor
Copyright’s Fair use Doctrine and Social
Digital Data. Communications of Informatics
the ACM, (1994) 37(1) 21-27.
Toward a new politics of
intellectual property.
Communications of the ACM.
(2001). 44(3): 98-100.
Social
Informatics
Social informatics in the
information sciences: Current
activities and emerging directions.
Informing Science (2000). 3(2):
89-95.
Social
informatics
Versioning: The smart way to sell
information. Harvard Business
Review (1998) 76(6): 106-114.
Economics of
Information
Go To Statement Considered
Harmful (1968)
Systems
Analysis and
Design
A Note on Two Problems in
Connection with Graphs (1959)
Systems
Analysis and
Design
Technical
Application
Relevant
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Technical
Theory
Rigor
Technical
Application
Relevant
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Brad A. Myers
Robert Johansen
J.C.R. Licklider
Creating user interfaces by
demonstration (1988) and a
brief history of human computer
interaction technology (1998)
Human
Computer
Interaction
Groupware: Computer Support
for Business Teams (1988)
Collaboration
Computer as a Communication
Device (1968) and ManComputer Symbiosis (1960)
Human
Computer
Interaction
22
Technical
Application
Rigor
Behavioral
Application
Relevant
Behavioral
Application
Rigor
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Key Research Using Design Science Methodology
The following key research and researchers use design science methodology.
Author(s)
Sudha Ram.
Sudha Ram
D.T. Ross
Royce, W. W.
Amit P. Sheth
Smith, J. M
Stefano Spaccapietra
Key Research
MIS Domain
Intelligent database design using
the unifying semantic model
(1995) Information and
Management 29(4): 191 - 206.
Data
Management
Multi-User View Integration
System (MUVIS): An Expert
System for View
Integration(1990)
Data
Management
Structured Analysis (SA): A
Language for Communicating
Ideas(1976). IEEE Transactions
on Software Engineering SE-3(1):
16-34.
Systems
Analysis and
Design
Managing the Development of
Large Software Systems:
Concepts and Techniques
(1970).Western Electronic Show
and Convention, Los Angeles,
Wescon Technical Papers.
Systems
Analysis and
Design
Managing Heterogeneous MultiSystem Tasks to Support
Enterprise-wide Operations.
(1995). Distributed and Parallel
Databases 2(2): 155-86.
Systems
Analysis and
Design
Database abstractions:
aggregation and generalization
(1977). ACM Transactions on
Database Systems (TODS) 2(2):
105-133.
Data
Management
View Integration - a Step Forward Data
in Solving Structural Conflicts.
Management
Ieee Transactions on Knowledge
and Data Engineering 6(2): 258274.
MIS Characteristic Model
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Stefano Spaccapietra.
Ivar Jacobson
Jeff Kramer
Jeff Kramer
Shamkant B. Navathe
C. Mohan
Salvatore T. March
Peter Pin-Shan Chen
Eric Clemons
Model independent assertions for Data
integration of heterogeneous
Management
schemas." The VLDB Journal —
The International Journal on Very
Large Data Bases 1(1): 81 - 126.
The Object Advantage: Business
Process Reengineering with
Object Technology (1994)
Systems
Analysis and
Design
The Evolving Philosophers
Problem: Dynamic Change
Management (1990) and
Managing Evolution in
Distributed Systems (1989)
Systems
Analysis and
Design
Inconsistency Handling in
Multiperspective
Specifications(1994)
Systems
Analysis and
Design
A Theory of Attributed
Equivalence in Databases with
Application to Schema
Integration (1989)
Data
Management
Distributed data base
management: Some thoughts
and analyses (1980)
Data
Management
The determination of efficient
record segmentations and
blocking factors for shared data
files
Data
Management
The entity-relationship model
toward a unified view of data
(1976)
Data
Management
Evaluation of Strategic
Investments in Information
Technology (1991)
Economics of
Information
24
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Theory
Rigor
Technical
Application
Rigor
Technical
Theory
Relevant
Behavioral
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
Edgar F. Codd
Edgar F. Codd
Extending the database
relational model to capture
more meaning (1979)
Data
Management
A Relational Model of Data for Data
Large Shared Data Banks (1970) Management
Bill Curtis
Process Modeling (1992)
Richard L. Daft
Organizational Information
Requirements, Media Richness
and Structural Design
Frank DeRemer
Programming-in-the-Large
versus Programming-in-theSmall (1975)
Geraldine Desanctis
Toward Friendly User MIS
Implementation (1983)
Collaboration
A Foundation for the Study of
Group Decision Support Systems
(1987)
Collaboration
On spatial database integration
(1998)
Data
Management
Simula--an ALGOL-Based
Simulation Language (1966)
Systems
Analysis and
Design
Goal Based Workflow Systems
(1994)
Systems
Analysis and
Design
Gerardine DeSanctis
Stefano Spaccapietra
Ole-Johan Dahl
Clarence Ellis
25
Technical
Theory
Rigor
Technical
Theory
Rigor
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Behavioral
Theory
Rigor
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Clarence Ellis
Toby J. Teorey
Vijayan Sugumaran
Veda C. Storey
W. P. Stevens
Gad Ariav
C. Batini
Barry W. Boehm
Grady Booch
Donald D.
Chamberlin
Groupware - Some Issues and
Experiences (1991)
Systems
Analysis and
Design
A logical design methodology
for relational databases using
the extended entity-relationship
model (1986)
Data
Management
Ontologies for conceptual
modeling: their creation, use,
and management (2002)
Data
Management
A Methodology for Learning
Across Application Domains
for Database Design Systems
(2002)
Data
Management
Structured Design
System
Analysis and
Design
DSS Design: A Systematic View
of Decision Support
System
Analysis and
Design
A comparative analysis of
methodologies for database
schema integration
Data
Management
A Spiral Model of Software
Development and
Enhancement
System
Analysis and
Design
Object-Oriented Development
System
Analysis and
Design
SEQUEL: A structured English
query language
Data
Management
26
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Theory
Relevant
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Theory
Relevant
Technical
Theory
Relevant
Technical
Theory
Relevant
Technical
Theory
Relevant
Technical
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Alen R. Hevner
George W. Furnas
The category concept: an
extension to the entityrelationship model(1985)
Data
Management
Generalized fisheye views(1986)
HCI
27
Technical
Theory
Rigor
Technical
Application
Rigor
Edward Feigenbaum
Myers, Brad A.
Nielsen, J.
Dendral and Meta-dendral:
Roots of Knowledge Systems
and Expert System Applications
AI
Languages for developing user
interfaces
HCI
The Usability Engineering LifeCycle
HCI
Technical
Application
Rigor
Technical
Theory
Rigor
Technical
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
28
Key Research Using Case Studies Methodology
The following key research and researchers use case studies methodology.
Author(s)
Robert K. Lindsay
Shank, M. E
Hau L. Lee
Kling, Rob
Vijay Gurbaxani
Kenneth L Kraemer
Kenneth L Kraemer
{Add authors full
name here. Sort each
table row by full name
using Tools-Sort}
Key Research
DENDRAL: A Case Study of the
First Expert System for Scientific
Hypothesis Formation. (1993)
Artif. Intell 61(2): 209-261.
MIS Domain
Artificial
Intelligence
Critical Success Factor Analysis as Social
a Methodology for MIS Planning. Informatics
(1985).MIS Quarterly 9(2): 121129.
MIS Characteristic Model
Technical
Application
Relevant
Behavioral
Application
Relevant
E-Fulfillment: Winning the Last
Mile of E-Commerce (2001) and
Manufacturer Benefits from
Information Integration with
Retail Customers (2004)
Operation
Management
What is social informatics and
why does it matter? (1999)
Social
Informatics
Institutional Factors in
Information Technology
Innovation (1994)
Economics
of
Information
Technical
Theory
Rigor
Information technology and
economic performance: A
critical review of the empirical
evidence (2003)
Economics
of
Information
Technical
Theory
Rigor
Information technology and
productivity: Evidence from
country-level data (2000)
Economics
of
Information
Technical
Theory
Rigor
{Add the title of the research
paper here with the date
reference. We’ll have End Note
put a reference marker here.}
{Specify the {Copy the respective image
domain using from Class of 2005’s data}
Class of
2005’s
model}
Technical
Application
Relevant
Behavioral
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
Murray Turoff
Nielsen, Jakob
Delphi and its Potential Impact
on Information Systems
Collaboratio
n
Designing Web Usability: The
Practice of Simplicity
HCI
29
Behavioral
Application
Rigor
Behavioral
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
30
Key Research Using Ethnographic Research Methodology
The following key research and researchers use ethnographic research methodology.
Author(s)
Key Research
MIS Domain
MIS Characteristic Model
In the 161 key MIS research papers analyzed, none were found to employ ethnographic research
methodology. However, we know that researchers, such as Wanda Orlinkowski, use ethnographic
research frequently, but only one her papers were included in the 161 key papers and it employed field
survey methodology.
Methodological Review of Key Research by Key People within Information Systems Management
31
Key Research Using Field Experiment Methodology
The following key research and researchers use field experiment methodology.
Author(s)
Sirkka L. Jarvenpaa
Robert Johansen
J. Galegher
R.E. Kraut
Key Research
MIS Domain
Is anybody out there?
Antecedents of trust in global
virtual teams (1998) and
computer support for meetings
of groups working on
unstructured problems: A field
experiment (1998)
Collaboration
Social evaluations of
teleconferencing (1977)
Social
Informatics
Computer-Mediated
Communication for Intellectual
Teamwork - an Experiment in
Group Writing(1994)
HCI
MIS Characteristic Model
Behavioral
Theory
Rigor
Behavioral
Theory
Relevant
Behavioral
Application
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
32
Key Research Using Field Study Methodology
The following key research and researchers use field study methodology.
Author(s)
Ronald Coase
Yannis Bakos
Erik Brynjolfsson
Orlikowski, Wanda
Orlikowski, Wanda J
Baroudi, J J
Key Research
The Nature of the Firm (1937)
MIS Domain
Economics
of
Information
Bundling information goods:
Pricing, profits, and efficiency
Economics
of
Information
Frictionless Commerce? A
Comparison of Internet and
Conventional Retailers
Social
Informatics
Using technology and
constituting structures: A
practice lens for studying
technology in organizations
Social
Informatics
Studying information
technology in organizations:
Research approaches and
assumptions
Social
Informatics
MIS Characteristic Model
Technical
Theory
Rigor
Behavioral
Theory
Rigor
Behavioral
Application
Relevant
Behavioral
Theory
Relevant
Behavioral
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
33
Key Research Using Game-Role Playing Methodology
The following key research and researchers use game-role playing methodology.
Author(s)
Key Research
MIS Domain
MIS Characteristic Model
In the 161 key MIS research papers analyzed, none were found to employ game-role playing research
methodology. However, we know that some researchers do employ this method. Dr. Nunamaker reports
that he and colleagues conducted a study simulating refugee camps where roles were assigned to subjects.
Methodological Review of Key Research by Key People within Information Systems Management
34
Key Research Using Historical Methodology
The following key research and researchers use historical methodology.
Author(s)
Murray Turoff
Key Research
Computer Mediated
Communication Requirements
for Group Support
MIS Domain
Collaboratio
n
MIS Characteristic Model
Behavioral
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
35
Key Research Using Laboratory Experiment Methodology
The following key research and researchers use laboratory experiment methodology.
Author(s)
Hsinchun Chen
Key Research
MIS Domain
A Machine Learning
Approach to Inductive Query
by Examples: An Experiment
Using Relevance Feedback,
ID3, Genetic Algorithms, and
Simulated Annealing (1998)
Effects of Anonymity and
Evaluative Tone on Idea
Generation in ComputerMediated Groups (1990)
AI
Using a GDSS to Facilitate
Group Consensus: Some
Intended and Unintended
Consequences
Collaboration
An Experimental
Investigation of the Impact of
Computer Based Decision
Aids on Decision Making
Strategies
HCI
R. Brent Gallupe
Joesoph S. Valacich
Jay F. Nunamaker, Jr.
Electronic Brainstorming and
Group-Size(1992)
Collaboration
Douglas C. Engelbart
Display-Selection Techniques
for Text Manipulation(1967)
HCI
Embedding web-based
statistical translation models
in cross-language information
retrieval (2003)
HCI
Preliminary description of
General Problem Solving -I
(GPS-I)
AI
Joesoph S. Valacich
Richard T. Watson
Peter Todd
Wessel Kraaij
Newell, J. C. Shaw,
and H. A. Simon
MIS Characteristic Model
Technical
Application
Relevant
Collaboration
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Technical
Application
Rigor
Technical
Application
Relevant
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Newell, A.
Simon, H. A.
Computer Science as
Empirical Inquiry - Symbols
and Search
AI
Nielsen, J.
Finding usability problems
through heuristic evaluation
HCI
Improving system usability
through parallel design
Systems
Analysis and
Design
Nielsen, J.
Faber, J. M.
36
Technical
Theory
Relevant
Behavioral
Application
Relevant
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
37
Key Research Using Mathematical Model Methodology
The following key research and researchers use mathematical model methodology.
Author(s)
Roni Khardon
Selman, B
Hau L. Lee
Salvatore T. March
JoAnne Yates
Robert N. Kubik
Edgar F. Codd
George Dantzig
Toby J. Teorey
Key Research
Learning to reason. Journal of the
ACM (1997).44(5).
MIS Domain
Artificial
Intelligence
Knowledge compilation and
theory approximation. (1996).
Journal of the ACM 43(2).
MIS Characteristic Model
Technical
Theory
Rigor
Technical
Theory
Rigor
Information distortion in a Supply Operation
Chain: The Bullwhip Effect
Management
(1997)
Allocating data and operations
to nodes in distributed database
design (1995)
Data
Management
Electronic Markets and
Electronic Hierarchies
Economics
of
Information
On applications of differential
equations in general problem
solving (1966)
Technical
Theory
Relevant
Technical
Application
Rigor
Behavioral
Theory
Rigor
Technical
Theory
Rigor
Relational Completeness of
Data Base Sublanguages (1972)
Data
Management
Decomposition Principle for
Linear Programs (1960)
Operations
Management
A comparative analysis of disk
scheduling policies (1972)
Data
Management
Technical
Theory
Rigor
Technical
Theory
Rigor
Technical
Application
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
Wessel Kraaij
Cynthia Barnhart
Anitesh Barua
Gerard P. Cachon
Carl Shapiro
Embedding web-based
statistical translation models in
cross-language information
retrieval (2003)
HCI
Branch-and-Price: Column
Generation for Solving Huge
Integer Programs
Data
Management
Information technologies and
business value: An analytic and
empirical investigation
Economics
of
Information
Supply Chain Inventory
Management and the Value of
Shared Information
Operations
Management
Dynamic Competition with
Switching Costs(1988)
Economics
of
Information
38
Technical
Application
Relevant
Technical
Theory
Rigor
Behavioral
Theory
Rigor
Behavioral
Theory
Rigor
Technical
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
39
Key Research Using Pluralistic Methodology
The following key research and researchers use pluralistic methodology.
Author(s)
Vijay Gurbaxani
Key Research
MIS Domain
The Impact of Information
Systems on Organizations and
Markets
Pluralistic
Nunamaker, J. F.
Dennis, A. R.
Valacich, J. S.
Vogel, D. R.
Information Technology for
Negotiating Groups Generating Options for Mutual
Gain
Pluralistic
Nunamaker, J. F.
Dennis, A. R.
Valacich, J. S.
Vogel, D. R.
George, J. F.
Electronic Meeting Systems to
Support Group Work
Pluralistic
MIS Characteristic Model
Technical
Theory
Rigor
Behavioral
Theory
Rigor
Behavioral
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
40
Key Research Using Prototyping Methodology
The following key research and researchers use prototyping methodology.
Author(s)
Gerardine DeSanctis
Vijayan Sugumaran
Veda C. Storey
Wessel Kraaij
Mark Stefik
Terry Winograd
Y. Richard Wang
Michael Stonebraker
Key Research
MIS Domain
Using Computing in Quality
Team Meetings: Initial
Observations from the IRS-Minnesota Project (1991)
Collaboration
Ontologies for conceptual
modeling: their creation, use,
and management (2002)
Data
Management
A Methodology for Learning
Across Application Domains
for Database Design Systems
(2002)
Data
Management
Embedding web-based
statistical translation models in
cross-language information
retrieval (2003)
HCI
Beyond the Chalkboard Computer Support for
Collaboration and ProblemSolving in Meetings
Collaboration
A Language/Action Perspective
on the Design of Cooperative
Work
Collaboration
The Inter-Database Instance
Identification Problem in
Integrating Autonomous
Systems (1989)
Data
Management
The Design of the POSTGRES
Storage System
Data
Management
MIS Characteristic Model
Technical
Application
Relevant
Technical
Theory
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Rigor
Technical
Application
Relevant
Technical
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
Jay Banerjee
Jay Banerjee
Stuart E. Madnick
Venky Harinarayan
Anand Rajaraman
Data Model Issues for ObjectOriented Applications
System
Analysis and
Design
Semantics and implementation
of schema evolution in objectoriented databases
System
Analysis and
Design
Context interchange:
overcoming the challenges of
large-scale interoperable
database systems in a dynamic
environment(1994)
Implementing data cubes
efficiently(1996)
Data
Management
41
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Jeffrey D. Ullman
Newell, A., Shaw, J.C. Report on a general problem& Simon, H.A
solving program
AI
Nunamaker, J. F.
Future research in group
support systems: needs, some
questions and possible
directions
Collaboration
Unified theories of cognition
AI
Newell, A.
Technical
Theory
Rigor
Technical
Application
Relevant
Technical
Theory
Rigor
Pirolli, P.
Card, S.
Information foraging
HCI
Behavioral
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
42
Key Research Using Simulation Methodology
The following key research and researchers use simulation methodology.
Author(s)
George W. Furnas
Toby J. Teorey
Patrick Suppes,
Lin Liang, Michael
Buettner
Key Research
MIS Domain
The Vocabulary Problem in
Human System
Communication(1987)
HCI
A comparative analysis of
disk scheduling policies
(1972)
Data
Management
Machine learning
comprehension grammars
for ten languages
AI
MIS Characteristic Model
Technical
Theory
Rigor
Technical
Application
Rigor
Technical
Theory
Rigor
Methodological Review of Key Research by Key People within Information Systems Management
43
Key Research Using System Development Methodology
The following key research and researchers use system development methodology.
Author(s)
Key Research
MIS Domain
Shah, K. and Amit. P.
Sheth
InfoHarness: An Information
Integration Platform for
Managing Distributed,
Heterogeneous Information.
(1999). IEEE Internet
Computing: 18-28.
Systems
Analysis and
Design
Amit. P Sheth
Semantic Content Management
for Enterprises and the Web.
(2002). IEEE Internet
Computing: 80-7.
Systems
Analysis and
Design
Querying object-oriented
databases (1992) and on
optimizing an SQL-like nested
query (1982)
Data
Management
Dynamic Configuration for
Distributed Systems (1985)
Data
A Language/Action Perspective
on the Design of Cooperative
Work
Collaboratio
n
The design and implementation
of INGRES
Data
Management
Program Development by
Stepwise Refinement (1971)
Systems
Analysis and
Design
The Design of the POSTGRES
Storage System
Data
Management
Kim Won
Jeff Kramer
Terry Winograd
Michael Stonebraker
Niklaus Wirth
Michael Stonebraker
Management
MIS Characteristic Model
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Behavioral
Theory
Rigor
Technical
Application
Rigor
Technical
Application
Relevant
Technical
Theory
Relevant
Technical
Theory
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
M. M. Astrahan
System R: relational approach to Systems
database management
Analysis and
Design
Carlos A. ReyesGarcia
AI and computational science:
Implementing Fuzzy Expert
System for intelligent buildings
Artificial
Intelligence
Neighbors, James M.
The Draco Approach to
Constructing Software from
Reusable Components
Systems
Analysis and
Design
Norman, Donald A.
Draper, Stephen W.
User centered system design :
new perspectives on humancomputer interaction
HCI
Nunamaker, J. F.
Future research in group
support systems: needs, some
questions and possible
directions
Collaboratio
n
Nunamaker, J. F., Jr.
Chen, Minder
Purdin, Titus D.M.
Systems Development in
Information Systems Research
Systems
Analysis and
Design
Parnas, David Lorge
A Technique for Software
Module Specification with
Examples
Systems
Analysis and
Design
On the Criteria To Be Used in
Decomposing Systems into
Modules
Systems
Analysis and
Design
On the Design and
Development of Program
Families.
Systems
Analysis and
Design
Parnas, David Lorge
Parnas, David Lorge
44
Technical
Application
Relevant
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Theory
Relevant
Technical
Application
Relevant
Technical
Theory
Rigor
Technical
Theory
Relevant
Technical
Application
Relevant
Technical
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
45
Key Research Using Survey Methodology
The following key research and researchers use survey methodology.
Author(s)
Key Research
MIS Domain
Sebastiani, F
Machine learning in automated
text categorization. (2002). ACM
Computing Surveys 34(1).
Dongmin Kim
Trust-Related Arguments in
Internet Stores: A Framework
for Evaluation (2003)
E-commerce
An empirical assessment of the
organization of transnational
information systems (1999)
Economics
of
Information
An evaluation of research
productivity in academic IT
Social
Informatics
Kevin Bacon, Degrees-ofSeparation, and MIS Research
Social
Informatics
William R King
Athey, Susan
Paul Beckman
MIS Characteristic Model
Behavioral
Theory
Relevant
Behavioral
Theory
Relevant
Behavioral
Application
Relevant
Behavioral
Application
Relevant
Methodological Review of Key Research by Key People within Information Systems Management
46
Methodologies by MIS Domain
In grouping the 161 research papers by research methodology, interesting findings are presented. The
following charts give enlightenment as to the frequency of each methodology employed within each MIS
domain. By counting the key papers grouped by methodology, Design Science is by far the most frequent
methodology used. Epistemology, Positivism, System Development, Prototyping, and Description, and
Lab Experiments are equally used by secondary to Design Science.
Number of Papers
Simulation
MANUSCRIPT
Historical
Computer Simulation
Survey
Pluralistic
Criticism
Conceptual Framework
Ontological
Field study
Case Study
Count
Interpretivism
Mathematical Models
Argumentative
Laboratory Experiment
Descriptive
Prototyping
System Development
Positivism
Epistemology
Design Science
0
5
10
15
20
25
30
35
40
Methodological Review of Key Research by Key People within Information Systems Management
Methodologies for AI
System Development
Simulation
Prototyping
Mathematical Model
Series1
Laboratory
Experiment
Case Study
Design Science
0
0.5
1
1.5
2
2.5
3
3.5
Methodologies for Collaboration
System Development
Prototyping
Laboratory Experiment
Historical
Field Experiment
Series1
Case Study
Design Science
Descriptive
Argumentative
0
0.5
1
1.5
2
2.5
3
3.5
47
Methodological Review of Key Research by Key People within Information Systems Management
Methodologies for Data Management
System Development
Simulation
Prototyping
Series1
Mathematical Model
Design Science
Descriptive
0
5
10
15
20
Methodologies for Economics of Information
Survey
Mathematical Model
Field Study
Case Study
Series1
Design Science
Descriptive
Argumentative
0
0.5
1
1.5
2
2.5
3
3.5
48
Methodological Review of Key Research by Key People within Information Systems Management
Methodologies for HCI
System Development
Simulation
Prototyping
Mathematical Model
Laboratory Experiment
Series1
Field Experiment
Case Study
Design Science
Descriptive
Argumentative
0
1
2
3
4
5
6
7
8
Operations Management
Mathematical Model
Case Study
Series1
Descriptive
0
0.5
1
1.5
2
2.5
3
3.5
49
Methodological Review of Key Research by Key People within Information Systems Management
Methodologies for Social Informatics
Survey
Field Study
Field Experiment
Series1
Case Study
Descriptive
Argumentative
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Methodologies for Systems Analysis and Design
System Development
Prototyping
Laboratory
Experiment
Series1
Design Science
Descriptive
Argumentative
0
2
4
6
8
10
12
14
50
Methodological Review of Key Research by Key People within Information Systems Management
Conclusion
These findings provide precedence to using the various methodologies, particularly Design
Science, which was used most often among the 161 key research papers. Design Science has gained
popularity and utility among key researchers and in their key papers.
51
Methodological Review of Key Research by Key People within Information Systems Management
52
References
Alavi, M., Carlson, P., & Brook, G. (1989). The ecology of MIS research: A twenty year review. In:
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