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Obstacles for Public OrganizationsPublic organizations Using HRIS Human Resource Information System (HRIS)

In: Human Resources Information Systems

Author

Listed:
  • Nicolas A. Valcik

    (Texas Tech University)

  • Meghna Sabharwal

    (University of Texas, Dallas)

  • Teodoro J. Benavides

    (The University of Texas at Dallas)

Abstract

Data quality is defined in the literature as “a set of characteristics that data should own (p.1)” (Scannapieco & Catarci, 2002). Several scholars have provided various classifications for data quality. These include accuracy, timeliness, completeness and consistency (Ballou & Pazer, 1985; Scannapieco et al., 2005), meaningfulness, unambiguousness, and accessibility. The most detailed classification is provided by Wang et al. (1995), in which 25 different dimensions are used to classify data quality, of which accuracy tops their list. Given the importance of accuracy as a measure of data quality, this study will focus on the causes for inaccurate data in the public sector with a special attention on institutions of higher education.

Suggested Citation

  • Nicolas A. Valcik & Meghna Sabharwal & Teodoro J. Benavides, 2021. "Obstacles for Public OrganizationsPublic organizations Using HRIS Human Resource Information System (HRIS)," Management for Professionals, in: Human Resources Information Systems, chapter 9, pages 125-143, Springer.
    • Handle: RePEc:spr:mgmchp:978-3-030-75111-1_9
    DOI: 10.1007/978-3-030-75111-1_9
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