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

Nicolas A. Valcik, Meghna Sabharwal and Teodoro J. Benavides
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Nicolas A. Valcik: Texas Tech University
Meghna Sabharwal: University of Texas, Dallas
Teodoro J. Benavides: The University of Texas at Dallas

Chapter 9 in Human Resources Information Systems, 2021, pp 125-143 from Springer

Abstract: 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.

Date: 2021
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DOI: 10.1007/978-3-030-75111-1_9

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