Knowing-Why About Data Processes and Data Quality

Yang W. Lee · Diane M. Strong

206 citations0/0 files storedJournal of Management Information Systems

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Data Quality and Management Research Data Management Practices Knowledge Management and Technology

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.

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References

1994Situated Learning: Legitimate Peripheral Participation.1990Absorptive Capacity: A New Perspective on Learning and Innovation 1983An Evolutionary Theory of Economic Change.1967The Social Construction of Reality 1997The Knowledge-creating company: How Japanese companies create the dynamics of innovation 1997The Tacit Dimension 1991Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation 1960The Strategy of Conflict

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