A Data Quality Assurance Model in the B2B Networked Environment

Business-to-Business (B2B) electronic commerce environments are characterized by frequent information exchange. The Internet and advanced information technologies (IT) permit organizations to access information 1 across organizational boundaries. It is important to assure organizations of the quality of information they get from other organizations. However, a well-established data quality (DQ) standard does not exist to manage the quality of data exchanged in the B2B networked environment. In this paper, we develop a generic data quality standard for the B2B data exchange by proposing a three-layer model: 1) the “DQ 9000” quality management standard for the information product manufacturing process, 2) standardized data quality specifications in metadata exchanged using XMI, and 3) a third party data quality certification issuer. This model is a first step to systematically address data quality management in the B2B data exchanges.

[1]  Richard Y. Wang,et al.  A product perspective on total data quality management , 1998, CACM.

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

[3]  Charles Møller,et al.  Proceedings of the Tenth Americas Conference on Information Systems , 2004 .

[4]  Giri Kumar Tayi,et al.  Enhancing data quality in data warehouse environments , 1999, CACM.

[5]  G. Shankaranarayan,et al.  Managing Data Quality in Dynamic Decision Environments: An Information Product Approach , 2003, J. Database Manag..

[6]  Salvatore J. Stolfo,et al.  Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem , 1998, Data Mining and Knowledge Discovery.

[7]  Donald P. Ballou,et al.  Designing Information Systems to Optimize the Accuracy-Timeliness Tradeoff , 1995, Inf. Syst. Res..

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

[9]  Marshall L. Fisher,et al.  Supply Chain Inventory Management and the Value of Shared Information , 2000 .

[10]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[11]  Stephanie S. Barrett,et al.  Inter-Organization Information Sharing Systems , 1982, MIS Q..

[12]  P. Mouncey Improving Data Warehouse and Business Information Quality , 2001 .

[13]  Thomas Redman,et al.  Data quality for the information age , 1996 .

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

[15]  Robert J. Kauffman,et al.  50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science , 2004, Manag. Sci..

[16]  Richard Y. Wang,et al.  IP-MAP: Representing the Manufacture of an Information Product , 2000, IQ.

[17]  Anany Levitin,et al.  The Notion of Data and Its Quality Dimensions , 1994, Inf. Process. Manag..

[18]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[19]  Thomas Redman,et al.  The impact of poor data quality on the typical enterprise , 1998, CACM.

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

[21]  Holmes Miller,et al.  The Multiple Dimensions of Information Quality , 1996, Inf. Syst. Manag..

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

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

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

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

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

[27]  Mark C. Paulk,et al.  How ISO 9001 Compares With The CMM , 1995, IEEE Softw..

[28]  Kevin Crowston,et al.  The interdisciplinary study of coordination , 1994, CSUR.

[29]  Richard Y. Wang,et al.  Data quality assessment , 2002, CACM.