Interorganizational Information Systems And Data Quality Improvement: The Case Of Product Information In The French Large Retail Industry

Electronic exchanges of information in Business to Business relationships have continued to grow over the last decades. In the retail industry, Product Information, defined as a set of data that represents the product, is now in the scope of retailers and their suppliers. Indeed, since the beginning of the century, projects for electronic exchanges of Product Information have accelerated because of the emergence of new technologies that facilitate them. This qualitative research focuses on Product Information exchanges in the French large retail industry and introduces Data Quality aspects in the adoption of an interorganizational information system (IOS). By using previous classifications of Data Quality dimensions [19; 47], this research aims to present Data Quality dimensions retailers and manufacturers consider to be relevant for Product Information. Secondly, it explains how IOS adoption is expected to contribute to Data Quality improvement.

[1]  Louis Raymond,et al.  The advantages of electronic data interchange , 1992, DATB.

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

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

[4]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[5]  Diane M. Strong,et al.  Information quality benchmarks: product and service performance , 2002, CACM.

[6]  A. Michael Huberman,et al.  An expanded sourcebook qualitative data analysis , 1994 .

[7]  O. Williamson The Economics of Organization: The Transaction Cost Approach , 1981, American Journal of Sociology.

[8]  M. Lynne Markus,et al.  Comparing the Standards Lens with Other Perspectives on IS Innovations: The Case of CPFR , 2006, Int. J. IT Stand. Stand. Res..

[9]  Izak Benbasat,et al.  Research Report: Empirical Test of an EDI Adoption Model , 2001, Inf. Syst. Res..

[10]  Michael L. Brodie Data quality in information systems , 1980, Inf. Manag..

[11]  Carol Reeves,et al.  DEFINING QUALITY: ALTERNATIVES AND IMPLICATIONS , 1994 .

[12]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[13]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[14]  Donald P. Ballou,et al.  Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems , 1985 .

[15]  Ananth Raman,et al.  Retail-data quality: evidence, causes, costs, and fixes , 2000 .

[16]  Louis Raymond,et al.  Managing EDI for corporate advantage: A longitudinal study , 1997, Inf. Manag..

[17]  Hock-Hai Teo,et al.  Innovation Diffusion Theory as a Predictor of Adoption Intention for Financial EDI , 1995, ICIS.

[18]  Xavier Lepers Les relations d'échange entre la grande distribution et ses fournisseurs : le cas de l'enseigne Auchan , 2003 .

[19]  Kenneth L. Kraemer,et al.  Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs, and Path Dependency , 2005, MIS Q..

[20]  Diane M. Strong,et al.  Knowing-Why About Data Processes and Data Quality , 2004 .

[21]  Paul J. Hart,et al.  Power and Trust: Critical Factors in the Adoption and Use of Electronic Data Interchange , 1997 .

[22]  Philip M. Kaminsky,et al.  Designing and managing the supply chain : concepts, strategies, and case studies , 2007 .

[23]  Craig W. Fisher,et al.  Criticality of data quality as exemplified in two disasters , 2001, Inf. Manag..

[24]  Roberto Baldoni,et al.  The architecture: a platform for exchanging and improving data quality in cooperative information systems , 2004, Inf. Syst..

[25]  Alina M. Chircu,et al.  Limits to value in electronic commerce-related IT investments , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[26]  Richard Y. Wang,et al.  Modeling Information Manufacturing Systems to Determine Information Product Quality Management Scien , 1998 .

[27]  Mani Subramani,et al.  How Do Suppliers Benefit from Information Technology Use in Supply Chain Relationships? , 2004, MIS Q..

[28]  D. Harrison McKnight,et al.  Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use , 2006, Inf. Syst. Res..

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

[30]  Ben M. Bensaou,et al.  Inter-organizational relationships and information technology: a conceptual synthesis and a research framework , 1996 .

[31]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[32]  Christina Soh,et al.  B2B E-Marketplaces - Interconnection Effects, Strategic Positioning, and Performance , 2002 .

[33]  Yannis Bakos,et al.  Information Links and Electronic Marketplaces: The Role of Interorganizational Information Systems in Vertical Markets , 1991, J. Manag. Inf. Syst..

[34]  T. Redman Improve Data Quality for Competitive Advantage , 1995 .

[35]  V. Grover An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems* , 1993 .

[36]  G. Premkumar,et al.  Adoption of new information technologies in rural small businesses , 1999 .

[37]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[38]  Richard Y. Wang,et al.  Manage Your Information as a Product , 1998 .

[39]  Reima Suomi,et al.  On the concept of inter-organizational information systems , 1992, J. Strateg. Inf. Syst..

[40]  Robert W. Zmud,et al.  AN EMPIRICAL INVESTIGATION OF THE DIMENSIONALITY OF THE CONCEPT OF INFORMATION , 1978 .

[41]  Diane M. Strong,et al.  Data quality in context , 1997, CACM.

[42]  Louis Raymond,et al.  Organizational Context and Information Systems Success: A Contingency Approach , 1990, J. Manag. Inf. Syst..

[43]  M. Lynne Markus,et al.  Industry-Wide Information Systems Standardization as Collective Action: The Case of the U.S. Residential Mortgage Industry , 2006, MIS Q..

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

[45]  JoAnne Yates,et al.  Electronic markets and electronic hierarchies , 1987, CACM.