Assessing Tools for Coordinating Quality of Master Data in Inter-organizational Product Information Sharing

Product information sharing, i.e., inter-organizational transfer of master data relating to products, is a problematic, error-prone, labor-intensive, and costly process in many companies. This paper presents findings of a focus group interview and case studies at three wholesale trading companies that share product information with hundreds of suppliers. We identify and assess coordination mechanisms and tools used to facilitate product information sharing. Spreadsheet files, e-mail messages, telephone calls, and personal meetings are predominant coordination tools. EDI connections, product identification and classification standards, online product catalogs, and data pools are not widely adopted in the trading organizations covered by our study. Reasons for the low adoption rate are that employees responsible for master data quality are either unaware of these resources or that they are convinced that the tools are too cost-intensive or not flexible enough.

[1]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[2]  Frantz Rowe,et al.  Understanding the Diversity of Interconnections between IS: Towards a New Typology of IOS , 2010, ECIS.

[3]  Tiziana Catarci,et al.  Managing Data Quality in Cooperative Information Systems , 2002, OTM.

[4]  Boris Otto,et al.  Integrating a data quality perspective into business process management , 2012, Bus. Process. Manag. J..

[5]  Ernest R. Alexander,et al.  Interorganizational Coordination: Theory and Practice , 1993 .

[6]  Christine Legner,et al.  Toward the Inter-organizational Product Information Supply Chain - Evidence from the Retail and Consumer Goods Industries , 2008, J. Assoc. Inf. Syst..

[7]  Pietro Romano,et al.  Co-ordination and integration mechanisms to manage logistics processes across supply networks , 2003 .

[8]  Michael Rosemann,et al.  Toward Improving the Relevance of Information Systems Research to Practice: The Role of Applicability Checks , 2008, MIS Q..

[9]  François de Corbière Data Quality and Interorganizational Information Systems: The Role of Electronic Catalogues , 2009, AMCIS.

[10]  Antonino Virgillito Carlo Marchetti,et al.  The DaQuinCIS Architecture : a Platform for Exchanging and Improving Data Quality in Cooperative Information Systems ? , 2003 .

[11]  S. Deshmukh,et al.  A Review on Supply Chain Coordination: Coordination Mechanisms, Managing Uncertainty and Research Directions , 2011 .

[12]  Boris Otto,et al.  Product data quality in supply chains: the case of Beiersdorf , 2011, Electron. Mark..

[13]  Boris Otto,et al.  Data Quality Requirements of Collaborative Business Processes , 2012, 2012 45th Hawaii International Conference on System Sciences.

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

[15]  Jos van Hillegersberg,et al.  Industry-wide Inter-organizational Systems and Data Quality: Exploratory findings of the use of GS1 standards in the Dutch retail market , 2015, AMCIS.

[16]  Kathleen M. Eisenhardt,et al.  Theory Building From Cases: Opportunities And Challenges , 2007 .

[17]  David Loshin Master Data Management , 2008 .

[18]  Björn Niehaves,et al.  Reconstructing the giant: On the importance of rigour in documenting the literature search process , 2009, ECIS.

[19]  François de Corbière,et al.  IQ as an enabler of the green and collaborative supply chain , 2011, ICIQ.

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

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

[22]  Anders Haug,et al.  Barriers to master data quality , 2011, J. Enterp. Inf. Manag..

[23]  Maria Madlberger Can data quality help overcome the penguin effect? the case of item master data pools , 2011, ECIS.

[24]  Kevin Crowston,et al.  What is coordination theory and how can it help design cooperative work systems? , 1990, CSCW '90.

[25]  François de Corbière,et al.  Interorganizational Information Systems And Data Quality Improvement: The Case Of Product Information In The French Large Retail Industry , 2007, ICIQ.

[26]  Hubert Österle,et al.  Corporate Data Quality : Voraussetzung erfolgreicher Geschäftsmodelle , 2016 .

[27]  D. Morgan Successful Focus Groups: Advancing the State of the Art , 1993 .

[28]  Jörg Becker,et al.  Towards a Semantic Data Quality Management - Using Ontologies to Assess Master Data Quality in Retailing , 2008, AMCIS.

[29]  Alan R. Hevner,et al.  The Use of Focus Groups in Design Science Research , 2010 .

[30]  R. Watson,et al.  Data Management , 1980, Bone Marrow Transplantation.

[31]  B. Beamon,et al.  Supply Chain Coordination and Cooperation Mechanisms : An Attribute-Based Approach , 2005 .

[32]  Boris Otto,et al.  Toward a Taxonomy of the Data Resource in the Networked Industry , 2014 .

[33]  Yu Cai,et al.  A Data Quality Assurance Model in the B2B Networked Environment , 2004, AMCIS.

[34]  Christine Legner,et al.  The Challenges of Inter-Organizational Business Process Design - A Research Agenda , 2007, ECIS.

[35]  Jiang Fu-xing Data Synchronization Technology of INS/GPS Integrated Navigation System , 2003 .