Employee behavior towards big data analytics: A research framework

Big data analytics (BDA) is heralded to generate vast-scale business prospects. Employee acceptance of BDA system is of utmost significance, as digital transition in organizations can be crippled by employee behavior. Therefore, an in-depth analysis of theory-based research is vital to comprehend the major instigations towards digital tools integration from the employee viewpoint. This study aims to develop the conceptual framework of BDA adoption factors by taking the technology acceptance model (TAM) as the point of departure. External constructs of digital optimization such as digital dexterity, technology–task fit, big data dimensions and self-efficacy are incorporated with TAM variables, namely perceived usefulness, perceived ease of use and behavioral intention. Hypotheses are developed to outline the relationships among the variables. The proposed conceptual framework of the extended TAM model will specify and assess employee behavior in acceptance of big data analytics. The research endeavors to oversee talent in the digital workplace.