Technological advancements and environmental turbulences require firms to continuously reconfigure their operational models by rapidly transforming the workplace. This study explores how the Internet of Things (IoT) can improve employees’ productivity in operations. This conceptualization paper highlights five determinants of employee productivity: learning orientation, problem-solving, acquisition of knowledge, and monitoring and evaluation. The developed conceptual model has a three-phased approach to optimizing the impact of the internet of things with Bayesian classification. This is critical to effectively leverage improvement in employee productivity, profile deviation analysis and to predict the effectiveness of interventions. This study provides vital insights into leveraging the IoT during the fourth industrial revolution, offering the needed continuous development of employee productivity to help with the survival and stability of firms. This will assist the management of a firm by providing practical insights and an actionable approach towards fostering increased employee productivity during challenging times.