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Measuring Organizational-Fit Through Socio-Cultural Big Data

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  • Narasimha Rao Vajjhala

    (Department of Computer Science and Software Engineering, American University of Nigeria, 98 Lamido Zubairu Way, Yola Township Bypass, PMB 2250, Yola, Adamawa State, Nigeria)

  • Kenneth David Strang

    (School of Business and Economics, State University of New York, 640 Bay Road, Queensbury, NY 12804, USA3APPC Non-Profit Research, Australia)

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.

Suggested Citation

  • Narasimha Rao Vajjhala & Kenneth David Strang, 2017. "Measuring Organizational-Fit Through Socio-Cultural Big Data," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 145-158, July.
  • Handle: RePEc:wsi:nmncxx:v:13:y:2017:i:02:n:s179300571740004x
    DOI: 10.1142/S179300571740004X
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    References listed on IDEAS

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    1. Elizabeth A. Martinez & Nancy Beaulieu & Robert Gibbons & Peter Pronovost & Thomas Wang, 2015. "Organizational Culture and Performance," American Economic Review, American Economic Association, vol. 105(5), pages 331-335, May.
    2. Kenneth David Strang & Narasimha Rao Vajjhala, 2015. "Impact of Socialized Uncertainty on Group Decision Making: An Experiment with Emerging Executives," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 4(2), pages 45-58, April.
    3. Michael Minkov & Vesselin Blagoev, 2012. "What do Project GLOBE's cultural dimensions reflect? An empirical perspective," Asia Pacific Business Review, Taylor & Francis Journals, vol. 18(1), pages 27-43, January.
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    Cited by:

    1. Zhaohao Sun & Paul P. Wang, 2017. "Big Data, Analytics, and Intelligence: An Editorial Perspective," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 75-81, July.

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