Evaluation by Users of an Industrial Information System (XPPS) Based on the DeLone and McLean Model for IS Success

Abstract This paper proposes an ex post evaluation by users of an information system (IS) dedicated to the automotive industry (XPPS), which is based on the DeLone and McLean's information systems success model. The methodological approach is a mixed-methods case study: we started our research by performing an exploratory qualitative study at SEBN MA, that were used to contextualize our research model. This model was then tested through a quantitative study by adopting a hypothetico-deductive methodology and using data collected by questionnaire. An analysis of these data by the technique of structural equation modeling confirms that information quality plays a key role in increasing user satisfaction and intention to use of the system; the significance of the relationship between the quality of service and the use of the IS; the effect of both intention to use and use on individual impact and finally the positive influence of the individual impact on the organizational performance of XPPS. This article provides an empirical validation of the IS success model developed by DeLone and McLean in the automotive industry, a little investigated topic in the literature, and shows the managerial implications of using such a model.

[1]  Michel Tenenhaus,et al.  PLS path modeling , 2005, Comput. Stat. Data Anal..

[2]  Claus Bossen,et al.  Evaluation of a comprehensive EHR based on the DeLone and McLean model for IS success: Approach, results, and success factors , 2013, Int. J. Medical Informatics.

[3]  Ephraim R. McLean,et al.  Measuring information systems success: models, dimensions, measures, and interrelationships , 2008, Eur. J. Inf. Syst..

[4]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[5]  John M. Ward,et al.  Understanding the successful adoption and use of IS/IT in SMEs: an explanation from Portuguese manufacturing industries , 2002, Inf. Syst. J..

[6]  Guy Fitzgerald,et al.  The turnaround of the London Ambulance Service Computer-Aided Despatch system (LASCAD) , 2005, Eur. J. Inf. Syst..

[7]  Seul-Ki Lee,et al.  Success model of project management information system in construction , 2012 .

[8]  Ojelanki K. Ngwenyama,et al.  Contextual influences on user satisfaction with mobile computing: findings from two healthcare organizations , 2006, Eur. J. Inf. Syst..

[9]  T. Grandon Gill,et al.  Early Expert Systems: Where are They Now? , 1995, MIS Q..

[10]  Ahmet Şatir,et al.  User satisfaction with EISs: meeting the needs of executive users , 1993 .

[11]  A. Leclercq The perceptual evaluation of information systems using the construct of user satisfaction: case study of a large french group , 2007, DATB.

[12]  Valérie Fernandes,et al.  En quoi l'approche PLS est-elle une méthode a (re)-découvrir pour les chercheurs en management ? , 2012 .

[13]  David F. Midgley,et al.  Formative versus reflective measurement models: two applications of formative measurement | NOVA. The University of Newcastle's Digital Repository , 2008 .

[14]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[15]  Sree Nilakanta,et al.  Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective , 1994, J. Manag. Inf. Syst..

[16]  William J. Doll,et al.  A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument , 1994, MIS Q..

[17]  David Gefen,et al.  IT acceptance: managing user—IT group boundaries , 2003, DATB.

[18]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[19]  Shahriar Akter,et al.  An Evaluation of PLS Based Complex Models: the Roles of Power Analysis, Predictive Relevance and GoF Index , 2011, AMCIS.

[20]  Rajiv Kohli,et al.  Performance Impacts of Information Technology: Is Actual Usage the Missing Link? , 2003, Manag. Sci..

[21]  Neil F. Doherty,et al.  The Importance of User Ownership and Positive User Attitudes in the Successful Adoption of Community Information Systems , 2001, J. Organ. End User Comput..

[22]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[23]  Yi-Shun Wang,et al.  Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success , 2008, Gov. Inf. Q..

[24]  Stacie Petter,et al.  Evaluating the success of an emergency response medical information system , 2011, Int. J. Medical Informatics.

[25]  Wynne W. Chin How to Write Up and Report PLS Analyses , 2010 .

[26]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

[27]  Enrique Mu,et al.  Development of an electronic Portfolio system success model: An information systems approach , 2013, Comput. Educ..

[28]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.