Measuring Organizational-Fit Through Socio-Cultural Big Data

What is it about?

We propose that businesses, government, and not-for-pro ̄t entities could bene ̄t from a better understanding of organisational behaviour 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 organisational 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 organisational behaviour. This paper will make a scholarly contribution by identifying literature relevant to collecting and analysing organisational big data that could explain beneficial socio-cultural behaviour. This paper will explore how sources of qualitative big data could be collected and then analysed to measure organisational factors relevant for decision-making.

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Why is it important?

This paper will explore how sources of qualitative big data could be collected and then analysed to measure organisational-fit factors relevant for decision-making. Read More: http://www.worldscientific.com/doi/abs/10.1142/S179300571740004X