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Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation

Author

Listed:
  • Pierre Berthon

    (Marketing Department, Bentley College, Waltham, Massachusetts 02452)

  • Leyland Pitt

    (School of Marketing, Curtin University of Technology, Perth, Australia)

  • Michael Ewing

    (Department of Marketing, Faculty of Business and Economics, Monash University, Melbourne, Australia)

  • Christopher L. Carr

    (Katz Graduate School of Management, University of Pittsburgh, 234 Mervis Hall, Pittsburgh, Pennsylvania 15260)

Abstract

Replications are an important component of scientific method in that they convert tentative belief to accepted knowledge. Given the espoused importance of replications to the extraction of knowledge from research, there is surprisingly little evidence of its practice or discussion of its importance in the management information systems literature. In this article we develop a framework within which to systematize the conceptualization of replications; we review and illustrate how some key information systems research fits into the framework and examine the factors that influence the selection of a research strategy. Our framework includes a conceptualization of the relationship among replication, extension, and generation in IS research. The concept of “research space” is defined and a framework is developed that delineates eight possible research strategies. Finally, the benefits of our framework to salient stakeholders in the research process are outlined.

Suggested Citation

  • Pierre Berthon & Leyland Pitt & Michael Ewing & Christopher L. Carr, 2002. "Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation," Information Systems Research, INFORMS, vol. 13(4), pages 416-427, December.
    • Handle: RePEc:inm:orisre:v:13:y:2002:i:4:p:416-427
    DOI: 10.1287/isre.13.4.416.71
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. Patrick Barwise, 1995. "Good Empirical Generalizations," Marketing Science, INFORMS, vol. 14(3_supplem), pages 29-35.
    3. Daniel Robey & Dana L. Farrow & Charles R. Franz, 1989. "Group Process and Conflict in System Development," Management Science, INFORMS, vol. 35(10), pages 1172-1191, October.
    4. Allen S. Lee, 1991. "Integrating Positivist and Interpretive Approaches to Organizational Research," Organization Science, INFORMS, vol. 2(4), pages 342-365, November.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Hubbard, Raymond & Vetter, Daniel E., 1996. "An empirical comparison of published replication research in accounting, economics, finance, management, and marketing," Journal of Business Research, Elsevier, vol. 35(2), pages 153-164, February.
    7. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    8. Daniel Robey & Dana Farrow, 1982. "User Involvement in Information System Development: A Conflict Model and Empirical Test," Management Science, INFORMS, vol. 28(1), pages 73-85, January.
    9. Raman, Kalyan, 1994. "Inductive Inference and Replications: A Bayesian Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 633-643, March.
    10. Edwards, Jeffrey R., 1995. "Alternatives to Difference Scores as Dependent Variables in the Study of Congruence in Organizational Research," Organizational Behavior and Human Decision Processes, Elsevier, vol. 64(3), pages 307-324, December.
    11. Peter, J Paul & Churchill, Gilbert A, Jr & Brown, Tom J, 1993. "Caution in the Use of Difference Scores in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(4), pages 655-662, March.
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    4. Verhagen, T. & Dolen, W. van, 2009. "The influence of online store characteristics on consumer impulsive decision-making: a model and empirical application," Serie Research Memoranda 0046, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    12. Francis Kofi Andoh-Baidoo, 2016. "Organizational Information and Communication Technologies for Development," Information Technology for Development, Taylor & Francis Journals, vol. 22(2), pages 193-204, April.
    13. Mårtensson, Pär & Fors, Uno & Wallin, Sven-Bertil & Zander, Udo & Nilsson, Gunnar H, 2016. "Evaluating research: A multidisciplinary approach to assessing research practice and quality," Research Policy, Elsevier, vol. 45(3), pages 593-603.
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    15. Davazdahemami, Behrooz & Kalgotra, Pankush & Zolbanin, Hamed M. & Delen, Dursun, 2023. "A developer-oriented recommender model for the app store: A predictive network analytics approach," Journal of Business Research, Elsevier, vol. 158(C).
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    17. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    18. Andrew Burton-Jones & Peter N. Meso, 2006. "Conceptualizing Systems for Understanding: An Empirical Test of Decomposition Principles in Object-Oriented Analysis," Information Systems Research, INFORMS, vol. 17(1), pages 38-60, March.
    19. Merikivi, J. & Verhagen, T. & Feldberg, J.F.M., 2010. "Having belief(s) in social virtual worlds: A decomposed approach," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    21. Orth, Ulrich R. & Hoffmann, Stefan & Nickel, Kristina, 2019. "Moral decoupling feels good and makes buying counterfeits easy," Journal of Business Research, Elsevier, vol. 98(C), pages 117-125.

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