Knowing-Why About Data Processes and Data Quality

Yang W. Lee, Diane M. Strong

Journal of Management Information Systems · 2003 · 201 citations · 37 references

Concepts

TL;DR

Knowledge of work processes is essential for performing work. The study examines whether knowing‑why knowledge influences work performance and whether the knowledge held by different roles matters, focusing on data production processes and data quality. The authors analyze responses from data collectors, custodians, and consumers to assess how different knowledge modes affect data quality. The study finds that knowing‑why knowledge matters, especially for data collectors, whose understanding of the production process leads to higher data quality, making their knowledge more critical than that of custodians.

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.

References

37