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Journal of Information Technology

, Volume 24, Issue 1, pp 1–10 | Cite as

Contemporary trends and issues in IT adoption and diffusion research

  • Michael D Williams
  • Yogesh K Dwivedi
  • Banita Lal
  • Andrew Schwarz
Research Article

Abstract

The high level of investigative activity to date into information systems and information technology acceptance and diffusion has witnessed the use of a wide range of exploratory techniques, examining many different systems and technologies in countless different contexts and geographical locations. The aim of this paper is to provide a comprehensive and systematic review of the literature pertaining to such adoption and diffusion issues in order to observe trends, ascertain the current ‘state of play’, and to highlight promising lines of inquiry including those lacking investigative activity or simply being in need of renewed interest. Previous research activity was analysed along a number dimensions including units of analysis, research paradigms, methodologies, and methods, theories and theoretical constructs, and technologies/contexts examined. Information on these and other variables was extracted during an examination of 345 papers on innovation adoption, acceptance and diffusion appearing in 19 peer-reviewed journals between 1985 and 2007. Findings suggest that the positivist paradigm, empirical and quantitative research, the survey method and Technology Acceptance Model theory (and its associated constructs) were predominantly used in the body of work examined, revealing clear opportunities for researchers to make original contributions by making greater use of the theoretical and methodological variety available to them, and consequently reducing the risk of research in the area moving toward overall homogeneity.

Keywords

adoption acceptance diffusion literature review ICT research issues 

References

  1. Avison, D., Dwivedi, Y.K., Fitzgerald, G. and Powell, P. (2008). The Beginnings of a New Era: Time to reflect on 17 years of the ISJ, Information Systems Journal 18 (1): 5–21.CrossRefGoogle Scholar
  2. Bagozzi, R.P. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift, Journal of the Association for Information Systems 8 (4): 244–254.Google Scholar
  3. Benbasat, I. and Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems 8 (4): 211–218.Google Scholar
  4. Brown, S.A. and Venkatesh, V. (2003). Bringing Non-Adopters Along: The challenge facing the PC industry, Communications of the ACM 46 (4): 76–80.CrossRefGoogle Scholar
  5. Brown, S.A. and Venkatesh, V. (2005). Model of Adoption of Technology in Households: A baseline model test and extension incorporating household life cycle, MIS Quarterly 29 (3): 399–326.Google Scholar
  6. Choudrie, J. and Dwivedi, Y.K. (2005). Investigating the Research Approaches for Examining Technology Adoption in the Household, Journal of Research Practice 1 (1): D1: 1–12 [WWW Document] http://jrp.icaap.org/content/v1.1/choudrie.pdf (accessed 20th June 2008).Google Scholar
  7. Dwivedi, Y.K., Choudrie, J. and Brinkman, W.P. (2006). Development of a Survey Instrument to Examine Consumer Adoption of Broadband, Industrial Management and Data Systems 106 (5): 700–718.CrossRefGoogle Scholar
  8. Dwivedi, Y.K., Williams, M.D. and Venkatesh, V. (2008). A Profile of Adoption of Information & Communication Technologies (ICT) Research in the Household Context, Information Systems Frontiers 10: 385–390.CrossRefGoogle Scholar
  9. Galliers, R.D. (1992). Choosing Information Systems Research Approaches, in R.D. Galliers (ed.) Information Systems Research: Issues, Methods and Practical Guidelines, Oxford: Blackwell Scientific, pp. 144.Google Scholar
  10. Galliers, R.D. and Land, F.F. (1987). Choosing an Appropriate Information Systems Research Methodology, Communications of the ACM 30 (11): 900–902.CrossRefGoogle Scholar
  11. Hirschheim, R. (2007). Introduction to the Special Issue on ‘Quo Vadis TAM – Issues and Reflections on Technology Acceptance Research’, Journal of the Association for Information Systems 8 (4): 203–205.Google Scholar
  12. Jeyaraj, A., Rottman, J.W. and Lacity, M.C. (2006). A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research, Journal of Information Technology 21: 1–23.CrossRefGoogle Scholar
  13. King, W.R. and He, J. (2006). A Meta-analysis of the Technology Acceptance Model, Information & Management 43: 740–755.CrossRefGoogle Scholar
  14. Legris, P., Ingham, J. and Collerette, P. (2003). Why do People use Information Technology? A Critical Review of the Technology Acceptance Model, Information & Management 40: 191–204.CrossRefGoogle Scholar
  15. Lucas, H.C., Swanson, E.B. and Zmud, R.W. (2007). Implementation, Innovation, and Related Themes Over the Years in Information Systems Research, Journal of the Association for Information Systems 8 (4): 206–210.Google Scholar
  16. Lyytinen, K., Baskerville, R., Iivari, J. and Te'eni, D. (2007). Why the Old World Cannot Publish? Overcoming Challenges in Publishing High-impact IS Research, European Journal of Information Systems 16 (4): 317–326.CrossRefGoogle Scholar
  17. Mingers, J. (2003). The Paucity of Multi-method Research: A review of the Information Systems literature, Information Systems Journal 13: 233–249.CrossRefGoogle Scholar
  18. Palvia, P and Pinjani, P (2007). A Profile of Information Systems Research Published in the Information & Management Journal, Information & Management 44: 1–11.CrossRefGoogle Scholar
  19. Silva, L. (2007). A Post-positivist Review of the Technology Acceptance Model, Journal of the Association for Information Systems 8 (4): 255–266.Google Scholar
  20. Schwarz, A. and Chin, W. (2007). Looking Forward: Toward an understanding of the nature and definition of IT acceptance, Journal of the Association for Information Systems 8 (4): 230–243.Google Scholar
  21. Venkatesh, V. and Brown, S.A. (2001). A Longitudinal Investigation of Personal Computers in Homes: Adoption determinants and emerging challenges MIS Quarterly 25 (1): 71–102.CrossRefGoogle Scholar
  22. Venkatesh, V., Davis, F.D. and Morris, M.G. (2007). Dead or Alive? The Development, Trajectory and Future of Technology Adoption Research, Journal of the Association for Information Systems 8: 267–286.Google Scholar
  23. Note : Because of space limitations, the 345 references analysed for this review are not listed here, but interested readers may find them and other information relating to the development of this paper at http://aadref.googlepages.com/home.

Copyright information

© Palgrave Macmillan 2009

Authors and Affiliations

  • Michael D Williams
    • 1
  • Yogesh K Dwivedi
    • 1
  • Banita Lal
    • 2
  • Andrew Schwarz
    • 3
  1. 1.School of Business and Economics, Swansea UniversitySwanseaUK
  2. 2.Nottingham Business School, Nottingham Trent UniversityNottinghamUK
  3. 3.E. J. Ourso College of Business, Louisiana State UniversityLouisianaUSA

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