Analyzing and evaluating human resource risks using Fuzzy DEMATEL and Fuzzy Similarity techniques

Despite increasing attention to human resource area of research as a value generating asset, managing its risks have not been studied systematically. In this study a quantitative approach for analyzing and assessing the human resources risks has been adopted. First, the multiple dimensions of human resource risks and their components were identified through semi-structured interviews with experts of human resources field in one of the major organizations in the power industry. In the next step, five criteria were presented to analyze the risks and causal interaction between the human resources risks as one of the criteria of analysis were identified using fuzzy DEMATEL technique. In the final step, the estimated level of risks were compared according to analysis criteria and human resources risks were ranked based on the five given indicators using fuzzy Similarity technique. The results showed that human resource operational risks have the greatest total effect both given and received in the network of interrelationships among risks and have the highest priority based on analyzing criteria compared to other four main areas of human resource risks.