The Impact of Culture on the Perception of Information System Success

The Impact of Culture on the Perception of Information System Success

Hafid Agourram (Bishop’s University, Canada)
DOI: 10.4018/978-1-60566-146-9.ch009


Research has showed that social and socio-technical concepts are influenced by culture. The objective of this chapter is to explore how the socio-technical concept of information system success is defined and perceived by a group of French managers. The results show that culture does influence IS success perception. The study has many implications for both academic and practice communities. The results are especially important to multinational organizations that standardize IS in different cultures including France. The research case is a multibillion dollar Canadian multinational organization which decided to standardize an Enterprise Resource Planning (ERP) system in all its worldwide subsidiaries.
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Review Of Literature

IS Success

The DeLone and McLean (1992, 2003) model is probably one of the most cited models in the IS community. Their 1992 model was successfully tested in many empirical studies (Rai, Lang and Welker, 2002; Ivari, 2005). IS success definition and measurement is still problematic for many factors (Seddon, Staples, Patnayakuni, and Bowetell, 1999). The first factor is the mixture of the technical and social aspects of an IS (Kanellis, Lycett, and Paul, 1998). Second, Alter (2000) argues that information technology and work practices are now so intertwined that it is difficult to identify their respective contributions to success. Other researchers link the difficulty of defining IS success to the methodological aspects involved in measuring IS success “Specifying a dependent variable is difficult because of the many theoretical and methodological issues involved in measuring IS success” (Garrity and Sanders; 1998, p. 14). Seddon et al. (1999) argue that IS success is still a fuzzy concept contingent upon different stakeholders and different types of IT. In the practice community, Markus and Tanis (2000) claimed that there is a fundamental gap in both practical and academic thinking between the lack of consensus and the clarity about the meaning of success, where information systems are concerned.

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