Knowing-Why About Data Processes and Data Quality

Authors:
Yang W. Lee;Diane M. Strong
Affiliations:
Assistant Professor and Joseph G. Reisman Research Professor in, the College of Business Administration at Northeastern University;Associate Professor in the Management Department at Worcester Polytechnic Institute and Director of the MIS program
Venue:
Journal of Management Information Systems
Year:
2003

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Abstract

Knowledge about work processes is a prerequisite for performing work. We investigate whether a certain mode of knowledge, knowing-why, affects work performance and whether the knowledge held by different work roles matters for work performance. We operationalize these questions in the specific domain of data production processes and data quality. We analyze responses from three roles within data production processes, data collectors, data custodians, and data consumers, to investigate the effects of different knowledge modes held by different work roles on data quality. We find that work roles and the mode of knowledge do matter. Specifically, data collectors with why-knowledge about the data production process contribute to producing better quality data. Overall, knowledge of data collectors is more critical than that of data custodians.