Advertisement

Adopt, Adapt, Enact or Use?

A Framework and Methodology for Extracting and Integrating Conceptual Mechanisms of IT Adoption and Use
  • Jens Lauterbach
  • Benjamin Mueller
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 446)

Abstract

Information Systems (IS) are omnipresent in today’s organizations. While much research has been performed on adoption, implementation, and use of IS, still many practitioners are faced with IS change endeavors in organizations that equal “death march” projects and fail before or directly after go-live. Research with a positivist stance has thoroughly studied factors that describe individuals’ intentions to adopt or use technology, while largely ignoring social and organizational contexts. Researchers with a constructivist view, on the other hand, have studied how social processes and structures change or emerge in the light of the new IS. We suggest that there is a need to combine what we know from these two streams in an attempt to clarify terminological bafflement that seems to be caused by the different philosophical stances. Our paper contributes by suggesting a framework and methodology for collecting and re-assembling scattered conceptual pieces of organizational and individual IT adoption and integrating them into a coherent understanding.

Keywords

IT adoption information systems change projects IT use process adaptation processes business value mechanisms positivist stance constructivist stance 

References

  1. 1.
    Brynjolfsson, E., Hitt, L.: Beyond Computation: Information Technology, Organizational Transformation and Business Performance. Journal of Economic Perspectives 14, 23–48 (2000)CrossRefGoogle Scholar
  2. 2.
    Shang, S., Seddon, P.B.: Assessing and Managing the Benefits of Enterprise Systems: The Business Manager’s Perspective. Information Systems Journal 12, 271–299 (2002)CrossRefGoogle Scholar
  3. 3.
    Andersen, E.S.: Toward a Project Management Theory for Renewal Projects. Project Management Journal 37, 15–31 (2006)Google Scholar
  4. 4.
    Leonardi, P., Barley, S.: What’s Under Construction Here? Social Action, Materiality and Power in Constructivist Studies of Technology and Organizing. Academy of Management Annals 4(1), 1–51 (2010)CrossRefGoogle Scholar
  5. 5.
    Alter, S.: Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future. Journal of the Association for Information Systems 14, 72–121 (2012)Google Scholar
  6. 6.
    Yourdon, E.: Death March. Prentice Hall Professional, New Jersey, NJ (2004)Google Scholar
  7. 7.
    Krotov, V., Ives, B.: ERP Implementation Gone Terribly Wrong: The Case of Natural Springs. Communications of the Association for Information Systems 28, 277–282 (2011)Google Scholar
  8. 8.
    Fadel, K.: User Adaptation and Infusion of Information Systems. Journal of Computer Information Systems 52, 1–10 (2012)Google Scholar
  9. 9.
    Bulkeley, W.M.: Technology (A Special Report): Working Together – When Things Go Wrong: FoxMeyer Drug Took a Huge High-Tech Gamble; It Didn’t Work. Wall Street Journal, Eastern edn., R25 (November 18, 1996) Google Scholar
  10. 10.
    Burkhardt, M.E., Brass, D.J.: Changing Patterns or Patterns of Change: The Effects of a Change in Technology on Social Network Structure and Power. Administrative Science Quarterly 35, 104–127 (1990)CrossRefGoogle Scholar
  11. 11.
    Johnston, W., Zablah, A., Bellenger, D.: Customer Relationship Management Implementation Gaps. Journal of Personal Selling and Sales Management 14, 279–295 (2005)Google Scholar
  12. 12.
    Wen, C., Remus, U., Mills, A.: Understanding and Addressing User Resistance to IS Implementation in a Lean Context. In: ECIS 2011 Proceedings, Paper 171 (2011), http://aisel.aisnet.org/ecis2011/171
  13. 13.
    Bartis, E., Mitev, N.: A Multiple Narrative Approach to Information Systems Failure: A Successful System That Failed. European Journal of Information Systems 17, 112–124 (2008)CrossRefGoogle Scholar
  14. 14.
    Beaudry, A., Pinsonneault, A.: Understanding User Responses to Information Technology: A Coping Model of User Adaptation. MIS Quarterly 29, 493–524 (2005)Google Scholar
  15. 15.
    Nan, N.: Capturing Bottom-Up Information Technology Use Processes: A Complex Adaptive Systems Model. MIS Quarterly 35, 505–532 (2011)MathSciNetGoogle Scholar
  16. 16.
    Soh, C., Markus, M.L.: How IT Creates Business Value: A Process Theory Synthesis. In: ICIS 1995 Proceedings, Paper 4 (1995), http://aisel.aisnet.org/icis1995/4
  17. 17.
    Devaraj, S., Kohli, R.: Performance Impacts Of Information Technology: Is Actual Usage The Missing Link? Management Science 49, 273–289 (2003)CrossRefGoogle Scholar
  18. 18.
    Ramiller, N.C.: Reconsidering Resistance in the Post-Human Era. In: Proceedings of the 19th Americas Conference on Information Systems, Chicago (2013), http://aisel.aisnet.org/amcis2013/ISPhilosophy/GeneralPresentations/3/
  19. 19.
    Lincoln, Y.S., Guba, E.G.: Naturalistic Inquiry. Sage, New York (1985)Google Scholar
  20. 20.
    Jasperson, J., Carter, P., Zmud, R.: A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated With Information Technology Enabled Work Systems. MIS Quarterly 29, 525–557 (2005)Google Scholar
  21. 21.
    Paul, R.J.: Challenges to Information Systems: Time to Change. European Journal of Information Systems 16, 193–195 (2007)CrossRefGoogle Scholar
  22. 22.
    Devadoss, P., Pan, S.: Enterprise Systems Use: Towards a Structurational Analysis of Enterprise Systems Induced Organizational Transformation. Communications of the Association for Information Systems 19, 351–385 (2007)Google Scholar
  23. 23.
    Kohli, R., Devaraj, S.: Measuring Information Technology Payoff: A Meta-Analysis of Structural Variables in Firm-Level Empirical Research. Information Systems Research 14, 127–145 (2003)CrossRefGoogle Scholar
  24. 24.
    Gallivan, M.: Organizational Adoption and Assimilation of Complex Technological Innovations: Development and Application of A New Framework. Database for Advances in Information Systems 32, 51–85 (2001)CrossRefGoogle Scholar
  25. 25.
    Davis, F.D.F.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 319–340 (1989)CrossRefGoogle Scholar
  26. 26.
    Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: Four longitudinal field studies. Managemenet Science 46, 186–204 (2000)CrossRefGoogle Scholar
  27. 27.
    Venkatesh, V., Bala, H.: Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences 39, 273–315 (2008)CrossRefGoogle Scholar
  28. 28.
    DeLone, W., McLean, E.: Information Systems Success: The Quest for the Dependent Variable. Information Systems Research 3, 60–95 (1992)CrossRefGoogle Scholar
  29. 29.
    Delone, W.: The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems 19, 9–30 (2003)Google Scholar
  30. 30.
    Lucas, H.J., Swanson, E., Zmud, R.: Implementation, Innovation, and Related Themes Over the Years in Information Systems Research. Journal of the Association for Information Systems 8, 206–210 (2007)Google Scholar
  31. 31.
    Burton-Jones, A., Straub, D.W.: Reconceptualizing System Usage: An Approach and Empirical Test. Information Systems Research 17, 228–246 (2006)CrossRefGoogle Scholar
  32. 32.
    Goodhue, D., Thompson, R.: Task-Technology Fit and Individual Performance. MIS Quarterly 19, 213–236 (1995)CrossRefGoogle Scholar
  33. 33.
    Pare, G., Bourdeau, S., Marsan, J., Nach, H., Shuraida, S.: Re-examining the Causal Structure of Information Technology Impact Research. European Journal of Information Systems 17, 403–416 (2008)CrossRefGoogle Scholar
  34. 34.
    Legris, P., Ingham, J., Collerette, P.: Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management 40, 191–204 (2003)CrossRefGoogle Scholar
  35. 35.
    Orlikowski, W.J.: Improvising Organizational Transformation Over Time: A Situated Change Perspective. Information Systems Research 7, 63–92 (1996)CrossRefGoogle Scholar
  36. 36.
    DeSanctis, G., Poole, M.: Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory. Organization Science 5, 121–147 (1994)CrossRefGoogle Scholar
  37. 37.
    Orlikowski, W., Scott, S.: Sociomateriality: Challenging the Separation of Technology, Work and Organization. Academy of Managemenet Annals 2, 433–474 (2008)CrossRefGoogle Scholar
  38. 38.
    Orlikowski, W.: CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development. MIS Quarterly 17, 309–341 (1993)CrossRefGoogle Scholar
  39. 39.
    Fichman, R.: Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods. Journal of the Association for Information Systems 5, 314–355 (2004)Google Scholar
  40. 40.
    Lucas, H.C.: Why Information Systems Fail. Columbia University Press, New York (1975)Google Scholar
  41. 41.
    Zmud, R.W., Cox, J.F.: The Implementation Process: A Change Approach. MIS Quarterly 3, 35–43 (1979)CrossRefGoogle Scholar
  42. 42.
    Swanson, E.B.: Information System Implementation: Bridging the Gap Between Design and Utilization. Irwin, Homewood (1988)Google Scholar
  43. 43.
    Rogers, E.M.: Diffusion of Innovations, 3rd edn. Free Press, New York (1983)Google Scholar
  44. 44.
    Rogers, E.M.: Diffusion of Innovations, 4th edn. Free Press, New York (1995)Google Scholar
  45. 45.
    Kwon, T.H., Zmud, R.W.: Unifying the Fragmented Models of Information Systems Implementation‘. In: Boland, R.J., Hirshheim, R.A. (eds.) Critical Issues in Information Systems Research, pp. 227–251. Wiley, NY (1987)Google Scholar
  46. 46.
    Ajzen, I., Fishbein, M.: Understanding Attitudes and Predicting Social Behaviour. Prentice-Hall, New Jersey (1980)Google Scholar
  47. 47.
    Cooper, R.B., Zmud, R.W.: Information Technology Implementation Research: A Technological Diffusion Approach. Management Science 36, 123–139 (1990)CrossRefGoogle Scholar
  48. 48.
    Zmud, R.W., Apple, L.E.: Measuring Technology Incorporation/Infusion. Journal of Product Innovation Management 9, 148–155 (1992)CrossRefGoogle Scholar
  49. 49.
    Swanson, E.: Information Systems Innovation Among Organizations. Management Science 40, 1069–1092 (1994)CrossRefGoogle Scholar
  50. 50.
    Kambil, A., Kamis, A., Koufaris, M., Lucas Jr, H.C.: Influences on the Corporate Adoption of Web Technology. Communications of the ACM 43(11es), Article 9 (2000)Google Scholar
  51. 51.
    Prescott, M.B., Conger, S.A.: Information Technology Innovations: A Classification by IT Locus of Impact and Research Approach. Database for Advances in Information Systems 26(2/3), 20–41 (1995)CrossRefGoogle Scholar
  52. 52.
    Fichman, R.: The Diffusion and Assimilation of Information Technology Innovations. In: Zmud, R.W. (ed.) Framing the Domains of IT Management: Projecting the Future Through the Past, pp. 105–127. Pinnaflex, Cincinatti (2000)Google Scholar
  53. 53.
    Hsieh, J.J.P.-A., Wang, W.: Explaining Employees’ Extended Use of Complex Information Systems. European Journal of Information Systems 16, 216–227 (2007)CrossRefGoogle Scholar
  54. 54.
    Elie-Dit-Cosaque, C.M., Straub, D.W.: Opening the Black Box of System Usage: User Adaptation to Disruptive IT. European Journal of Information Systems 20, 589–607 (2011)CrossRefGoogle Scholar
  55. 55.
    Hsieh, J.J.P.-A., Rai, A., Xu, S.X.: Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use. Management Science 57, 2018–2039 (2011)CrossRefGoogle Scholar
  56. 56.
    Sykes, T., Venkatesh, V., Gosain, S.: Model of Acceptance with Peer Support: A Social Network Perspective to Understand Employees’ System Use. MIS Quarterly 33, 371–393 (2009)Google Scholar
  57. 57.
    Saga, V.L., Zmud, R.W.: The Nature and Determinants of IT Acceptance, Routinization, and Infusion. In: Levine, L. (ed.) Diffusion, Transfer and Implementation of Technology, pp. 67–86. Elsevier, Amsterdam (1994)Google Scholar
  58. 58.
    Chin, W.W., Marcolin, B.L.: The Future of Diffusion Research. Database for Advances in Information Systems 32(3), 7–12 (2001)CrossRefGoogle Scholar
  59. 59.
    Ajzen, I.: From Intentions to Actions: A Theory of Planned Behavior. In: Kuhl, J., Beckmann, J. (eds.) Action Control From Cognition to Behavior, pp. 11–39. Springer, Berlin (1985)Google Scholar
  60. 60.
    Apple, L., Zmud, R.: Measuring Technology Infusion/Incorporation. Journal of Product Innovation Management 9, 148–155 (1992)CrossRefGoogle Scholar
  61. 61.
    Barki, H., Titah, R., Boffo, C.: Information System Use-Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use. Information Systems Research 18, 173–192 (2007)CrossRefGoogle Scholar
  62. 62.
    Seddon, P.: A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research 8, 240–253 (1997)CrossRefGoogle Scholar
  63. 63.
    Jeyaraj, A., Sabherwal, R.: Adoption of Information Systems Innovations by Individuals: A Study of Processes Involving Contextual, Adopter, and Influencer Actions. Information and Organization 18, 205–234 (2008)CrossRefGoogle Scholar
  64. 64.
    Lee, H., Sawyer, S.: Conceptualizing Time, Space And Computing for Work and Organizing. Time & Society 19, 293–317 (2010)CrossRefGoogle Scholar
  65. 65.
    Langley, A.: Strategies for Theorizing from Process Data. Academy of Management Review 24, 691–710 (1999)MathSciNetGoogle Scholar
  66. 66.
    Mingers, J.: Real-izing Information Systems: Critical Realism as an Underpinning Philosophy for Information Systems. Information and Organization 14, 87–103 (2004)CrossRefGoogle Scholar
  67. 67.
    Van de Ven, A.: Running in Packs to Develop Knowledge-Intensive Technologies. MIS Quarterly 29, 365–378 (2005)Google Scholar
  68. 68.
    Barley, S.: Technology as an Occasion For Structuring: Evidence from Observations of CT Scanners and the Social Order of Radiology Departments. Administrative Science Quarterly 31, 78–108 (1986)CrossRefGoogle Scholar
  69. 69.
    Orlikowski, W.J., Gash, D.C.: Technological Frames: Making Sense of Information Technology in Organizations. ACM Transactions on Information Systems 12, 174–207 (1994)CrossRefGoogle Scholar
  70. 70.
    Markus, M.L.: Electronic Mail as the Medium of Managerial Choice. Organization Science 5, 502–527 (1994)CrossRefGoogle Scholar
  71. 71.
    Poole, M.S., DeSanctis, G.: Use of Group Decision Support Systems as an Appropriation Process. In: Proceedings of the 22nd Hawaii International Conference on System Sciences (HICSS), pp. 149–157. IEEE (1989)Google Scholar
  72. 72.
    Orlikowski, W.J.: The Duality of Technology: Rethinking the Concept of Technology in Organizations. Organization Science 3, 398–427 (1992)CrossRefGoogle Scholar
  73. 73.
    Orlikowski, W.: Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations. Organization Science 11, 404–428 (2000)CrossRefGoogle Scholar
  74. 74.
    Boudreau, M.-C., Robey, D.: Enacting Integrated Information Technology: A Human Agency Perspective. Organization Science 16, 3–18 (2005)CrossRefGoogle Scholar
  75. 75.
    Wagner, E., Newell, S., Piccoli, G.: Understanding Project Survival in an ES Environment: A Sociomaterial Practice Perspective. Journal of the Association for Information Systems 11, 276–297 (2010)Google Scholar
  76. 76.
    Volkoff, O., Strong, D., Elmes, M.: Technological Embeddedness and Organizational Change. Organization Science 18, 832–848 (2007)CrossRefGoogle Scholar
  77. 77.
    Mutch, A.: Actors and Networks or Agents and Structures: Towards a Realist View of Information Systems. Organization 9, 477–496 (2002)CrossRefGoogle Scholar
  78. 78.
    Wynn, D., Williams, C.: Principles for Conducting Critical Realist Case Study Research in Information Systems. MIS Quarterly 36, 787–810 (2012)Google Scholar
  79. 79.
    Mueller, B., Raeth, P., Faraj, S., Kautz, K.: On the Methodological and Philosophical Challenges of Sociomaterial Theorizing: An Overview of Competing Conceptualizations. In: ICIS 2012 Proceedings (2012), http://aisel.aisnet.org/icis2012/proceedings/Panels/3/
  80. 80.
    Introna, L.D., Hayes, N.: On Sociomaterial Imbrications: What Plagiarism Detection Systems Reveal and Why It Matters. Information and Organization 21, 107–122 (2011)CrossRefGoogle Scholar
  81. 81.
    Lewis, M.O., Mathiassen, L., Rai, A.: Scalable Growth in IT-Enabled Service Provisioning: a Sensemaking Perspective. European Journal of Information Systems 20, 285–302 (2011)CrossRefGoogle Scholar
  82. 82.
    Mohr, L.B.: Explaining Organizational Behavior: The Limits and Possibilities of Theory and Research. Proquest Info & Learning, San Francisco (1982)Google Scholar
  83. 83.
    Markus, M., Robey, D.: Information Technology and Organizational Change: Causal Structure in Theory and Research. Management Science 34, 583–598 (1988)CrossRefGoogle Scholar
  84. 84.
    Mueller, B., Urbach, N.: The Why, What, And How of Theories in IS Research. In: ICIS 2013 Proceedings (2013), http://aisel.aisnet.org/icis2013/proceedings/ResearchMethods/8/
  85. 85.
    Machamer, P., Darden, L., Craver, C.: Thinking About Mechanisms. Philosophy of Science 67, 1–25 (2000)CrossRefMathSciNetGoogle Scholar
  86. 86.
    Glaser, B.G., Strauss, A.L.: The Discovery of Grounded Theory: Strategies for Qualitative Research. Transaction Publishers, New Jersey (2008)Google Scholar
  87. 87.
    Bhattacherjee, A.: Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly 25, 351–370 (2001)CrossRefGoogle Scholar
  88. 88.
    Hsieh, J.J.P.-A., Zmud, R.: Understanding Post-Adoptive Usage Behaviors: A Two-Dimensional View. DIGIT 2006 Proceedings, Paper 3 (2006), http://aisel.aisnet.org/digit2006/3
  89. 89.
    Bradley, J.: If We Build It They Will Come? The Technology Acceptance Model. In: Dwivedi, Y.K., Wade, M.R., Schneberger, S.L. (eds.) Information Systems Theory: Explaining and Predicting Our Digital Society, vol. 1, pp. 19–36. Springer, New York (2012)CrossRefGoogle Scholar
  90. 90.
    Lapointe, L., Rivard, S.: A Multilevel Model of Resistance to Information Technology Implementation. MIS Quarterly 29, 461–491 (2005)Google Scholar
  91. 91.
    Beaudry, A., Pinsonneault, A.: The Other Side of Acceptance: Studying the Direct and Indirect Effects of Emotions on Information Technology Use. MIS Quarterly 34, 689–710 (2010)Google Scholar
  92. 92.
    Damanpour, F., Schneider, M.: Phases of the Adoption of Innovation in Organizations: Effects of Environment, Organization and Top Managers. British Journal of Management 17, 215–236 (2006)CrossRefGoogle Scholar
  93. 93.
    Fichman, R.R.G., Kemerer, C.C.F.: The Assimilation of Software Process Innovations: An Organizational Learning Perspective. Management Science 43, 1345–1363 (1997)CrossRefGoogle Scholar
  94. 94.
    Sun, H.: Understanding User Revisions When Using Information System Features: Adaptive System Use and Triggers. MIS Quarterly 36, 453–478 (2012)Google Scholar
  95. 95.
    Orlikowski, W., Yates, J.: Shaping Electronic Communication: The Metastructuring of Technology in the Context of Use. Organization Science 6, 423–444 (1995)CrossRefGoogle Scholar
  96. 96.
    Yates, J., Orlikowski, W.J., Okamura, K.: Explicit and Implicit Structuring of Genres in Electronic Communication: Reinforcement and Change of Social Interaction. Organization Science 10, 83–103 (1999)CrossRefGoogle Scholar
  97. 97.
    Poole, M.S., DeSanctis, G.: Understanding the Use of Group Decision Support Systems: The Theory of Adaptive Structuration. In: Fulk, J., Steinfield, C. (eds.) Organizations and Communication Technology, pp. 173–193. Sage, Thousand Oaks (1990)CrossRefGoogle Scholar
  98. 98.
    Orlikowski, W., Yates, J.: Genre Repertoire: The of Structuring Communicative Practices in Organizations. Administrative Science Quarterly 39, 541–574 (1994)CrossRefGoogle Scholar
  99. 99.
    Burton-Jones, A., Grange, C.: From Use to Effective Use: A Representation Theory Perspective. Information Systems Research 24, 632–658 (2013)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Jens Lauterbach
    • 1
  • Benjamin Mueller
    • 2
  1. 1.Information Systems IVUniversity of MannheimMannheimGermany
  2. 2.Innovation Management & Strategy DepartmentUniversity of GroningenGroningenThe Netherlands

Personalised recommendations