Abstract
Abstract The study investigates the use of workforce big data analytics as a tool to guide production managers to boost production efficiency while also ascertaining the level of awareness in the use workforce analytics amongst production managers. The study adopted survey research design and questionnaire were distributed to 20 respondents comprising of all Production Managers of the 20 Manufacturing Companies understudied. Data generated was analyzed using averages and scores. The outcome of the analyses showed that only 30% of the manufacturing companies had established and understood workforce plan while 70% did not have. Again the study showed that only 25% production managers agreed that the use of workforce big data analytics is necessary to boost production efficiency. Further findings showed that 75% of the managers admitted that their production was below average of which 40% of the managers ascribed their dismal performance to excessive manpower downtime which is a by-product of workforce scheduling. Based on the findings, it can be concluded that the use of workforce big data analytics is a more significant and important factor in boosting production efficiency.
Highlights
The study investigates the use of workforce big data analytics as a tool to guide production managers to boost production efficiency while ascertaining the level of awareness in the use workforce analytics amongst production managers
With the evidence based outcome achieved by Deliotte, lots of organizations like Biogen have embraced the use of big data analytics in their workforce management in order to boost the efficiency of their production process
It has been established that one of the major challenge faced by the Production Manager is the task of attaining production efficiency in which goods and services are produced at the possible lowest cost
Summary
The study investigates the use of workforce big data analytics as a tool to guide production managers to boost production efficiency while ascertaining the level of awareness in the use workforce analytics amongst production managers. The study showed that only 25% production managers agreed that the use of workforce big data analytics is necessary to boost production efficiency. Du Plessis (2009) posited that the human resource is one of the organization’s most effective and valuable resources Following his position, it becomes imperative for organizations to formulate and execute strategies that will boost the performance of their workforce to achieve efficiency in production. One of the strategies adopted by successful organizations like Deliotte has been the use of workforce big data or analytics in managing its workforce. With the evidence based outcome achieved by Deliotte, lots of organizations like Biogen have embraced the use of big data analytics in their workforce management in order to boost the efficiency of their production process. This is because workforce metrics is the basis upon which workforce analytics is carried out
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