Advertisement

Requirements Engineering

, Volume 9, Issue 1, pp 57–66 | Cite as

An exploratory study into whether to or not to include users in the development of industrial hypermedia applications

  • Devendra FakunEmail author
  • Richard M. Greenough
Original Article

Abstract

While there is agreement among both information system (IS) practitioners and IS researchers as to the value of user participation in IS development, the correlation between user participation and actual use or user satisfaction (surrogate measures of IS success) has been equivocal. A possible reason for the contradictory findings could be that user participation is being utilised, regardless of the levels of complexity of either the system or the task. This paper describes two exploratory case studies to test this hypothesis. Industrial hypermedia applications (IHA) were developed and qualitative data collected, through usability trials, to see the effect of user participation on user perception (extrinsic motivations of use) of the system, rather than IS success. The findings show that users should participate in the development when both the IS and the task are complex. On the other hand, when both the system and the task are not complex, user participation can be kept to a minimum. Furthermore, it is recommended that user participation should not be evaluated against IS success, but against system features.

Keywords

Hypermedia applications System complexity Task complexity Technology acceptance model User-IS relationship User participation 

References

  1. 1.
    Igbaria M, Guimarães T (1994) Empirically testing the outcomes of user involvement in DSS development. OMEGA: Int J Manage Sci 22(2):157–172Google Scholar
  2. 2.
    Jackson CM, Chow S, Leitch RA (1997) Toward an understanding of the behavioural intention to use an information system. Decision Sci 28(2):357–389Google Scholar
  3. 3.
    McKeen JD, Guimarães T, Wetherbe JC (1994) The relationship between user participation, user satisfaction: an investigation of four contingency factors. MIS Q 18(4):427–451Google Scholar
  4. 4.
    Baroudi JJ, Olson MH, Ives B (1986) An empirical study of the impact of user involvement on system usage and information satisfaction. Commun ACM 29(3):232–238CrossRefGoogle Scholar
  5. 5.
    Hartwick J, Barki H (1994) Explaining the role of user participation in information system use. Manage Sci 40(4):440–465Google Scholar
  6. 6.
    Ives B, Olson MH (1984) User involvement and MIS success: a review of research. Manage Sci 30(5):586–603Google Scholar
  7. 7.
    Hwang MI, Thorn RG (1999) The effect of user engagement on system success: a meta-analytical integration of research findings. Inf Manage 35(4):229–236CrossRefGoogle Scholar
  8. 8.
    McKeen JD, Guimarães T (1997) Successful strategies for user participation in systems development. J Manage Inf Syst 14(2):133–150Google Scholar
  9. 9.
    Hunton JE, Beeler JD (1997) Effects of user participation in systems development: a longitudinal field experiment. MIS Q 21(4):359–388Google Scholar
  10. 10.
    Lowe D, Hall W (1999) Hypermedia and the web: an engineering approach. Wiley, ChichesterGoogle Scholar
  11. 11.
    Smith PA, Newman IA, Parks LM (1997) Virtual hierarchies and virtual networks: some lessons from hypermedia usability research applied to the world wide web. Int J Hum Comput Stud 47:67–95CrossRefGoogle Scholar
  12. 12.
    Shneiderman B (1997) Designing information abundant web sites: issues and recommendations. Int J Hum Comput Stud 47:5–29CrossRefGoogle Scholar
  13. 13.
    Smith PA (1996) Toward a practical measure of hypertext usability. Interact Comput 8(4):365–381CrossRefGoogle Scholar
  14. 14.
    Koshy TT, Gramopadhye AK, Kennedy WJ, Ramu NV (1996) Application of hypertext technology to assist maintenance on the shop floor. Comput Ind Eng 30(2):283–295CrossRefGoogle Scholar
  15. 15.
    Eason KD (1991) Ergonomic perspectives on advances in human-computer interaction. Ergonomics 34(6):721–741Google Scholar
  16. 16.
    Dillon A, McKnight C (1995) Never mind the theory, feel the data: observations on the design of hypertext-based user interfaces. In: Schuler W, Hannemann J, Streitz JN (eds) Designing user interfaces for hypermedia. Research reports ESPRIT project 6532 HIFI, vol 1. Springer, Berlin Heidelberg New York, pp 117–125Google Scholar
  17. 17.
    Nanard J, Nanard M (1995) Hypertext design environments and the hypertext design process. Commun ACM 38(8):49–56CrossRefGoogle Scholar
  18. 18.
    Kasvi JJJ, Nieminen M, Pulkkis A, Vartiainen M (1998) Knowledge management on the shop-floor, In: Karwowski W, Goonetilleke R (eds) Manufacturing agility and hybrid automation – II. IEA Press, Santa Monica, pp 168–171Google Scholar
  19. 19.
    Garzotto F, Mainetti L, Paolini P (1995) Hypermedia design, analysis and evaluation issues. Commun ACM 38(8):74–85CrossRefGoogle Scholar
  20. 20.
    Isakowitz T, Stohr EA, Balasupramanian P (1995) RMM: a methodology for structured hypermedia design. Commun ACM 38(8):34–44CrossRefGoogle Scholar
  21. 21.
    Schwabe D, Rossi G (1995) The object-oriented hypermedia model. Commun ACM 38(8):45–46CrossRefGoogle Scholar
  22. 22.
    Wood RE (1986) Task complexity: definition of the construct. Organ Behav Hum Decision Process 37(1):60–82Google Scholar
  23. 23.
    Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35(8):982–1003Google Scholar
  24. 24.
    Davis FD, Venkatesh V (1996) A critical assessment of potential biases in the technology acceptance model: 3 experiments. Int J Man Mach Stud 45:19–45CrossRefGoogle Scholar
  25. 25.
    Davis FD (1993) User acceptance of information technology: system characteristics, user perceptions and behavioural impacts. Int J Man Mach Stud 38:475–487CrossRefGoogle Scholar
  26. 26.
    Venkatesh V, Davis FD (1996) A model of the antecedents of perceived ease of use: a development and test. Decision Sci 27(3):451–481Google Scholar
  27. 27.
    Hair JF Jr, Anderson RE, Tatham RL, Black WC (1998) Multivariate data analysis, 5th edn. Prentice Hall, Upper Saddle River, NJGoogle Scholar
  28. 28.
    Morris MG, Dillon A (1997) How user perceptions influence software use. IEEE Softw 14(4):58–65CrossRefGoogle Scholar
  29. 29.
    Torkzadeh G, Dwyer DJ (1994) A path analytic study of determinants of information system usage. OMEGA: Int J Manage Sci 22(4):339–348Google Scholar

Copyright information

© Springer-Verlag London Limited 2004

Authors and Affiliations

  1. 1.SIMMOEcole Nationale Supérieur des Mines de St-EtienneSt-Etienne Cedex 2France
  2. 2.SIMS, Manufacturing Systems DepartmentCranfield UniversityBedsUK

Personalised recommendations