When users are professionals: Effective user participation for information systems assimilation

Kathy Ning Shen, Mohamed Khalifa, Ahmad AlMulla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Prior research on the role of user participation in system development has yielded inconsistent results. One of reasons might be attributed to the various users and research in this field needs to take into consideration of the characteristics of users themselves. Users' professional background has been documented as one of major reasons for resistance. However, very little research has investigated how to resolve such resistance. Our study makes a significant step forward to understand and empirically validate the contingencies of business professional users' participation. With an exploratory case study, we identify three important contingencies that determine the effectiveness of professional users' participation in IT projects in terms of assimilation, i.e., IT competence, work-identity integrity and alignment as perceived by the professionals. The resulting model is also empirically validated involving professional users from different industries and organizations.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS 2013)
Subtitle of host publicationReshaping Society Through Information Systems Design
Pages4786-4799
Number of pages14
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Information Systems, ICIS 2013 - Milan, Italy
Duration: Dec 15 2013Dec 18 2013

Publication series

NameInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
Volume5

Conference

ConferenceInternational Conference on Information Systems, ICIS 2013
Country/TerritoryItaly
CityMilan
Period12/15/1312/18/13

Keywords

  • Alignment
  • Assimilation
  • IT competence
  • Professional identity
  • User participation

ASJC Scopus subject areas

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Library and Information Sciences

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