Published Paper Details:

Workplace risk behaviors have been classified and thoroughly investigated, which reveals that they have the potential to pose major hazards to the health of employees as well as the general well-being of the business. Big data has further worsened the penalties and costs associated with damaging and unproductive employee behaviors, such as data leaks and the unlawful selling of user information. Examples of these types of acts include data leaks and the sale of user information. Because of this, it has become one of the most difficult obstacles that companies all over the globe must overcome. In response, the practices of human resource management (HRM) have increasingly centered their attention on minimizing unproductive behaviors via the deployment of high-performance work systems (HPWS) . It has been shown that emotional and cognitive burnout at work is connected with the incidence of both high-risk work behaviors and actions that are unproductive. As a result, it is essential for companies operating in the present period to investigate methods that might lessen the stress caused by tasks and improve the health of their staff. According to research, a robust feeling of firm commitment may favorably affect employee behavior, perhaps moderating unwanted behaviors while strengthening those that are desired. The purpose of the research will be to conduct an in-depth investigation into the theoretical underpinnings of unproductive behaviors. It will include the HPWS framework with the goal of identifying new areas of significance and making a contribution to efficient human resource management techniques.