Abstract

Job Demands and Resources (JD-R) approach provides a basic framework for understanding the role of several job resources and demands on employees’ work engagement. This article discusses the evolution of the JD-R framework and how it can be adapted under different jobs, which are involved in big data and predictive analytics (BDPA). We extend the JD-R framework by including new job resources, new personal resource, and new job demand to address that are associated with digital technologies. We found two key mechanisms underlying this new JD-R framework: the adoption mechanism to collect data, and the mechanism to use such data to generate a digital business model. This study contributes to the literature by adapting the JD-R framework to new challenges of emerging technologies and their impact on work engagement.

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