Measuring data warehousing success: an empirical investigation applying the DeLone and McLean model

The purpose of this study is to examine the factors that affect data warehousing success. The DeLone and McLean (1992) original model has been used as a backbone to construct an evaluation instrument which has been operationalised using data warehousing and IS success literature review and an exploratory case study conducted in a large European financial company. Two contextual variables: user participation and user involvement are introduced in the model and their roles on individual impacts of the data warehouse are tested. Our results confirm the determining power of information quality and user satisfaction as antecedents to the system use. Concerning the roles played by the contextual factors, only the direct effect of user involvement on individual impacts is supported.

[1]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[2]  Abhijit Chaudhury,et al.  An empirical investigation of decision-making satisfaction in web-based decision support systems , 2004, Decis. Support Syst..

[3]  Daniel Berg,et al.  Service quality from the other side: Information systems management at Duquesne Light , 2005, Int. J. Inf. Manag..

[4]  W. H. Inmon,et al.  Building the data warehouse (2nd ed.) , 1996 .

[5]  Daniel Berg,et al.  Managing Information Technology for Service Quality: A Study from the Other Side , 2003 .

[6]  Leon A. Kappelman,et al.  The implementation of computer-based information systems: the respective roles of participation and involvement in information system success , 1990 .

[7]  Hugh J. Watson,et al.  Data Warehousing Failures: Case Studies and Findings , 1999 .

[8]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[9]  Uday R. Kulkarni,et al.  A Knowledge Management Success Model: Theoretical Development and Empirical Validation , 2006, J. Manag. Inf. Syst..

[10]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[11]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[12]  Blake Ives,et al.  User Involvement and MIS Success: A Review of Research , 1984 .

[13]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[14]  Hajer Kefi,et al.  Using a Systems Thinking Perspective to Construct and Apply an Evaluation Approach of Technology-Based Information Systems , 2007, Inf. Resour. Manag. J..

[15]  Juhani Iivari,et al.  An empirical test of the DeLone-McLean model of information system success , 2005, DATB.

[16]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[17]  Barbara Wixom,et al.  An Empirical Investigation of the Factors Affecting Data Warehousing Success , 2001, MIS Q..

[18]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[19]  Leon A. Kappelman,et al.  Measuring user involvement: a diffusion of innovation perspective , 1995, DATB.

[20]  Peter B. Seddon,et al.  A Partial Test and Development of the DeLone and McLean Model of IS Success , 1994, ICIS.

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

[22]  Richard T. Watson,et al.  Measuring Information Systems Service Quality: Lessons From Two Longitudinal Case Studies , 1998, MIS Q..

[23]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[24]  Barbara Wixom,et al.  Data Warehousing Supports Corporate Strategy At First American Corporation , 2000, MIS Q..

[25]  James C. Wetherbe Executive Information Requirements: Getting It Right , 1991, MIS Q..

[26]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[27]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[28]  J. Hair Multivariate data analysis , 1972 .

[29]  G Larry Sanders,et al.  MIS/DSS success measure , 1984 .

[30]  Margi Levy,et al.  Developing a 3-D model of information systems success , 1998 .

[31]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[32]  Gerold Riempp,et al.  A Methodological Examination of Empirical Research on Information Systems Success: 2003 to 2007 , 2008, AMCIS.

[33]  Henry C. Lucas,et al.  A descriptive model of information systems in the context of the organization , 1973, DATB.

[34]  Blake Ives,et al.  Executive Involvement and Participation in the Management of Information Technology , 1991, MIS Q..

[35]  Claude E. Shannon,et al.  A mathematical theory of communication , 1948, MOCO.

[36]  John F. Rockart,et al.  Managing the data resource: a contingency perspective , 1988 .

[37]  N. Melone A theoretical assessment of the user-satisfaction construct in information systems research , 1990 .

[38]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[39]  Leon A. Kappelman,et al.  The Respective Roles Of User Participation And User Involvement In Information System Implementation Success , 1991, ICIS.

[40]  Henry C. Lucas,et al.  Implementation: The Key to Successful Information Systems , 1981 .

[41]  Laurie J. Kirsch,et al.  The Impact of Data Integration on the Costs and Benefits of Information Systems , 1992, MIS Q..

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

[43]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[44]  R. Zmud INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

[45]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

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

[47]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[48]  Ramon C. Barquin,et al.  Planning and Designing the Data Warehouse , 1996 .

[49]  P. Ein-Dor,et al.  Organizational Context and the Success of Management Information Systems , 1978 .

[50]  P. K. Malhotra,et al.  Original papers: Design and development of data mart for animal resources , 2008 .

[51]  Bongsik Shin,et al.  An Exploratory Investigation of System Success Factors in Data Warehousing , 2003, J. Assoc. Inf. Syst..

[52]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

[53]  I. Ajzen The theory of planned behavior , 1991 .

[54]  M. Rosenberg,et al.  The Logic of Survey Analysis. , 1968 .

[55]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[56]  Leon A. Kappelman,et al.  A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment , 1997 .

[57]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

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

[59]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[60]  Richard Y. Wang,et al.  Anchoring data quality dimensions in ontological foundations , 1996, CACM.

[61]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[62]  Jean Hartley,et al.  Case study research , 2004 .

[63]  R. Yin Case Study Research: Design and Methods , 1984 .

[64]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[65]  Charles F. Hockett,et al.  A mathematical theory of communication , 1948, MOCO.

[66]  Wanda J. Orlikowski,et al.  A Short Form Measure of User Information Satisfaction: A Psychometric Evaluation and Notes on Use , 1987, J. Manag. Inf. Syst..

[67]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .