Identifying and Prioritizing the Results of the Effective Implementation of the Internet of Things in Human Resources Processes

The Internet of Things constitutes a global digital neural network of various devices and sensors, which can connect various devices to each other or to people. Therefore, the current research was conducted with the aim of identifying and prioritizing the results of the effective implementation of Internet of Things in human resources processes. This research is applied in terms of purpose; in terms of data collection method, it is both survey and exploratory, and it follows a comparative and inductive research philosophy. The statistical population of the research consists of experts, including senior managers and managers in the field of technology and information of government organizations in Lorestan province, whose sample members were selected using the purposeful sampling method and based on the principle of theoretical saturation. The data collection tool for the qualitative part is interview while the quantitative part uses questionnaire. The validity and reliability of the tools were analyzed using content validity and intra-coder inter-coder reliability for the interview, and content validity and retest reliability for the questionnaire, respectively. In this research, the content analysis and coding method was used in the qualitative part, and the fuzzy cognitive map method was employed in the quantitative part for data analysis. In this research, the findings of the qualitative part include identifying the types of Internet of Things, while the findings of the quantitative part relate to the prioritization of these factors. Therefore, the most important consequence of the Internet of Things is the intelligentization and automation of employee performance control, helping the growth and development of the individuals and promoting openness to change.