Measuring Organizational-Fit Through Socio-Cultural Big Data

Narasimha Vajjhala and Kenneth David Strang
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Kenneth David Strang: School of Business and Economics, State University of New York, 640 Bay Road, Queensbury, NY 12804, USA3APPC Non-Profit Research, Australia

New Mathematics and Natural Computation (NMNC), 2017, vol. 13, issue 02, 145-158

Abstract: We propose that businesses, government, and not-for-profit entities could benefit from a better understanding of organizational behavior through the lens of a contemporary global culture model. Human resourcing and partnering decisions could be improved by using global culture to ensure a better organizational-fit as well as to reduce the risk of destructive relationship dependencies. For an extreme-limits example, a company could inadvertently hire a terrorist or a social loafer seeking to steal competitive intelligence. A big data approach supported by a socio-cultural framework could help in hypothesis testing which is essential for advancing the body of knowledge in organizational behavior. This paper will make a scholarly contribution by identifying literature relevant to collecting and analyzing organizational big data that could explain beneficial socio-cultural behavior. This paper will explore how sources of qualitative big data could be collected and then analyzed to measure organizational-fit factors relevant for decision-making.

Keywords: Big data; qualitative; organizational behavior; culture; organizational-fit; decision-making (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S179300571740004X

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