The role of big data and predictive analytics in the employee retention: a resource-based view

Purpose The authors have attempted to understand how big data and predictive analytics (BDPA) can help retain employees in the organization. Design/methodology/approach This study is grounded positivism philosophy. used a resource-based view (RBV) develop their research hypotheses. tested hypotheses using primary gathered single-informant questionnaire. obtained 254 usable responses. performed assumptions test, confirmatory factor analysis (CFA) test validity of proposed theoretical model, further hierarchical regression analysis. Findings statistical result suggests that various human resource management strategies play significant role improving retention under mediating effect BDPA. Research limitations/implications Moreover, cross-sectional data. Hence, cannot ignore effects common method bias on findings. findings are based particular setting. Thus, caution readers must be examined light limitations. Practical implications provided empirical survey provide numerous guidelines practitioners organization invest creating BDPA helps analyze complex extract meaningful relevant information. information related employee turnaround may guide top reduce dissatisfaction level among working high-stress environments resulting from high degree uncertainty. Social factors affect morale employee. In high-paced environment, often exposed negative forces which productivity. Due lack awareness adequate information, most issues not dealt with effectively efficiently by line managers. tackle problem society way. Originality/value offers some useful contributions literature attempts unfold nexus between management, strategy. contributes it one areas still remains elusive academic community. managers skeptical about application understanding human-related due what extent employee-related stored processed. study’s open new avenues need tackled.