Measuring Organizational-Fit Through Socio-Cultural Big Data

作者：Vajjhala Narasimha Rao; Strang Kenneth David

来源：New Mathematics and Natural Computation, 2017, 13(2): 145-158.

DOI：10.1142/S179300571740004X

<jats:p> 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. </jats:p>

• 出版日期2017-7