Abstract
Background: Big data and predictive analysis have been hailed as the fourth paradigm of science. Big data and analytics are critical to the future of business sustainability. The demand for data scientists is increasing with the dynamic nature of businesses, thus making it indispensable to manage big data, derive meaningful results and interpret management decisions.Objectives: The purpose of this study was to provide a brief conceptual review of big data and analytics and further illustrate the use of a multicriteria decision-making technique in selecting the right skilled candidate for big data and analytics in procurement management.Method: It is important for firms to select and recruit the right data analyst, both in terms of skills sets and scope of analysis. The nature of such a problem is complex and multicriteria decision-making, which deals with both qualitative and quantitative factors. In the current study, an application of the Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) method was used to solve the big data analyst selection problem.Results: From this study, it was identified that Technical knowledge (C1), Intellectual curiosity (C4) and Business acumen (C5) are the strongest influential criteria and must be present in the candidate for the big data and analytics job.Conclusion: Fuzzy VIKOR is the perfect technique in this kind of multiple criteria decisionmaking problematic scenario. This study will assist human resource managers and procurement managers in selecting the right workforce for big data analytics.
Highlights
Big data and business analytics has been the pressing call of the day
The objective of the present study is to provide a brief conceptual review of big data and analytics; this study largely illustrates the use of an innovative multicriteria decision-making approach called Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) in selecting the right skilled candidate for big data and analytics in procurement management
The current study provides a brief conceptual background of big data and business analytics and further identified the research gaps
Summary
Big data and business analytics has been the pressing call of the day. Earlier big data research was limited to the information science researchers, but recently management scientists have started to study the connections of big data with business performance. The purpose of this study is to provide a brief conceptual review of big data and analytics. This study largely illustrates the use of an innovative multicriteria decision-making Fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) technique in selecting the right skilled candidate for big data and analytics in procurement management function. We present the literature review followed by research methods, data analysis and results, discussion, conclusion, limitations and future research directions. The demand for data scientists is increasing with the dynamic nature of businesses, making it indispensable to manage big data, derive meaningful results and interpret management decisions
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