Abstract
Organizations are more and more concerned about the increasing data and information quality issues in their information (manufacturing) systems. These issues have caused various organizational problems such as losing customers, missing opportunities and making incorrect decisions. Recognizing these issues, one of the crucial aspects for organizations to sustain business growth and competitive advantage is to be able to assess data and information quality. However limited research has been done to investigate data and information quality assessment in information manufacturing systems. This paper proposes a model to assess the quality of two major information sources in information manufacturing systems: data stored in database and information products delivered to users. The proposed model is applied to an information manufacturing system and an example database. The research findings have shown that the poor quality of data found in example databases is correlated to the quality of information products perceived by users.
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References
Ballou, D.P., Pazer, H.L.: Modeling Data and Process Quality in Multi-input. Multi-output Information Systems. Management Science 31(2), 150–162 (1985)
Ballou, D.P., Wang, R.Y., Pazer, H.L., Tayi, G.K.: Modeling Information Manufacturing Systems to Determine Information Product Quality. Management Science 44(4), 462–484 (1998)
Batini, C., Scannapieco, M.: Data Quality, Concepts, Methodologies and Techniques. Springer, Heidelberg (2006)
Cappiello, C., Francalanci, C., Pernici, B.: Time-Related Factors of Data Quality in Multichannel Information Systems. Journal of Management Information Systems 20(3), 71–91 (2004)
Eppler, M., Helfert, M.: A Classification and Analysis of Data Quality Costs, Ninth International Conference on Information Quality, (November 5-7 MIT, 2004)
Fisher, C.W., Kingma, B.R.: Criticality of Data Quality as Exemplified in Two Disasters. Information & Management 39(2), 109–116 (2001)
Gertz, M., Ozsu, T., Saake, G., Sattler, K.: Report on Dagstuhl Seminar Data Quality on the Web. In: SIGMOD Report, vol. 33(1) (2004)
Kahn, B., Strong, D., Wang., R.Y.: Information Quality Benchmarks: Product and Service Performance. Communications of the ACM 45(4), 184–192 (2002)
Lee, Y., Strong, D., Kahn, B., Wang., R.Y.: A Methodology for Information Quality Assessment. Information & Management 40(2), 133–146 (2002)
Oliveira, P., Rodrigues, F., Henriques, P.: A Formal Definition of Data Quality Problems. In: Proceedings of the tenth International Conference on Information Quality, MIT (2005)
O’Reilly III, C.A.: Variations in Decision Makers: Use of Information Source: The Impact of Quality and Accessibility of Information. Academy of Management Journal 25(4), 756–771 (1982)
Pipino, L., Lee, Y.W., Wang, R.Y.: Data Quality Assessment, Communications of the ACM. Communications of the ACM. 45(4), 211–218 (2002)
Strong, D., Lee, Y., Wang, R.Y.: Data Quality in Context, Communications of the ACM. Communications of the ACM. 40(5), 103–110 (1997)
Stvilia, B., Gasser, L., Twidale, M.B., Smith, L.C.: A Framework for Information Quality Assessment. ournal of the American Society for Information Science and Technology 58(12), 1720–1733 (2006)
Wang, R.Y., Strong, D.M.: Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information System. 12(4), 5–34 (1996)
Wand, Y., Wang, R.Y.: Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM 39(11), 86–95 (1996)
Wang, R.Y.: A Product Perspective on Total Data Quality Management. Communications of the ACM 41(2), 58–65 (1998)
Wang, R.Y., Lee, Y.W., Ziad, M.: Data Quality. Springer, Heidelberg (2001)
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Ge, M., Helfert, M. (2008). Data and Information Quality Assessment in Information Manufacturing Systems. In: Abramowicz, W., Fensel, D. (eds) Business Information Systems. BIS 2008. Lecture Notes in Business Information Processing, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79396-0_33
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DOI: https://doi.org/10.1007/978-3-540-79396-0_33
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