Modes of Theory Integration

Multiple social science fields, including Information Systems (IS), share a desire to make sense of the how humans, technology and information can be organized to support desired modes of behavior. Over the past three decades IS has tended to import reference theories. More recently there has been increased effort to obtain legitimacy by creating ‘native’ IS theories. While some decry the obsession with theory [1] publication outlets continue to emphasize the primacy of theory development and testing as the maximal contribution to the field [2]. As a result of this emphasis on theory, IS has moved from having a relative paucity of theories about phenomena of interest, to its current state of multiple, overlapping, and overly narrow theories. IS, along with many reference disciplines, are now faced with a problem common to social sciences–how to make sense of a disparate range of theories originating across multiple fields researching the same phenomenon.

[1]  L. Darden,et al.  Interfield Theories , 1977, Philosophy of Science.

[2]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[3]  Dirk S. Hovorka,et al.  Analyzing unstructured text data: Using latent categorization to identify intellectual communities in information systems , 2008, Decis. Support Syst..

[4]  Kyle J. Mayer,et al.  Integrating Theories in AMJ Articles , 2013 .

[5]  Richard Baskerville,et al.  Information Systems as a Reference Discipline , 2002, MIS Q..

[6]  Michael J. Gallivan,et al.  ORGANIZATIONS: A MULTILEVEL PERSPECTIVE , 2007 .

[7]  Susan Michie,et al.  Behavior change interventions: the potential of ontologies for advancing science and practice , 2017, Journal of Behavioral Medicine.

[8]  Michael Wade,et al.  Theoretical Constructs and Relationships in Information Systems Research , 2009 .

[9]  Sung S. Kim The integrative framework of technology use: an extension and test , 2009 .

[10]  David E. Avison,et al.  Is theory king?: questioning the theory fetish in information systems , 2014, J. Inf. Technol..

[11]  Kai Riemer,et al.  Shared Secret Places: Social Media and Affordances , 2016, ACIS.

[12]  Ned Kock,et al.  Information Systems Theorizing Based on Evolutionary Psychology: An Interdisciplinary Review and Theory Integration Framework , 2009, MIS Q..

[13]  E. Wilson Consilience: The Unity of Knowledge , 1998 .

[14]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[15]  Karen Locke,et al.  Constructing Opportunities for Contribution: Structuring Intertextual Coherence and “Problematizing” in Organizational Studies , 1997 .

[16]  James Birt,et al.  A Meta-theoretic Approach to Theory Integration in Information Systems , 2013, 2013 46th Hawaii International Conference on System Sciences.

[17]  Thomas S. Kuhn,et al.  The Road since Structure , 1990, PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association.

[18]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[19]  Jingjing Li,et al.  Establishing Nomological Networks for Behavioral Science: a Natural Language Processing Based Approach , 2011, ICIS.

[20]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[21]  Kai R. T. Larsen,et al.  Addicted to constructs: science in reverse? , 2013, Addiction.

[22]  Dirk S. Hovorka,et al.  Developing Interfield Nomological Nets , 2012, 2012 45th Hawaii International Conference on System Sciences.

[23]  Alexander J. Rothman,et al.  Commentary: Revitalizing research on health behavior theories. , 2005, Health education research.

[24]  Frederick L. Oswald,et al.  Cloud-based Meta-analysis to Bridge Science and Practice: Welcome to metaBUS , 2015 .

[25]  T. Kuhn,et al.  The Essential Tension , 1977 .

[26]  L. Cronbach,et al.  Construct validity in psychological tests. , 1955, Psychological bulletin.

[27]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

[28]  Samuel B. Bacharach,et al.  Organizational Theories: Some Criteria for Evaluation , 1989 .

[29]  D. Hovorka,et al.  Visualizing the Core-Periphery Distinction in Theory Domains , 2012 .

[30]  Kai R. Larsen,et al.  A Tool for Addressing Construct Identity in Literature Reviews and Meta-Analyses , 2016, MIS Q..

[31]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

[32]  William Bechtel,et al.  The Nature of Scientific Integration , 1986 .

[33]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[34]  Ramiro Montealegre,et al.  A Coevolutionary View of Information Services Development: Lessons from the U.S. National Oceanic and Atmospheric Administration , 2014, J. Assoc. Inf. Syst..

[35]  Ron Weber,et al.  Evaluating and Developing Theories in the Information Systems Discipline , 2012, J. Assoc. Inf. Syst..

[36]  Detmar W. Straub,et al.  Editor's comments: why top journals accept your paper , 2009 .

[37]  Cornelius J. König,et al.  Integrating Theories of Motivation , 2006 .

[38]  Izak Benbasat,et al.  The Identity Crisis Within the IS Discipline: Defining and Communicating the Discipline's Core Properties , 2003, MIS Q..

[39]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[40]  F. Geels Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study , 2002 .