Fuzzy Clustering of Job Occupations in National Iranian South Oil Company; Strategic Sourcing in Talent Supply Chain Management

Talent management is one of the most important challenges faced by management of companies. Uncertainty in predicting competencies that are critical for companies and the inability to accurately estimate the voluntary of talents turnover, has required adapting concepts from the supply chain management, such as supply and strategic sourcing in talent management. The purpose of this research was to cluster the job occupations of the National Iranian South Oil Company (NISOC) in order to provide suitable strategies for sourcing talents in each cluster. This study is considered a quantitative applied research. The research strategy was c-means fuzzy clustering method. The statistical population was all human resources staff in NISOC and the statistical sample consisted of 80 experts from human resources section which have been selected by purposive method. Based on the findings, the job occupations were categorized into four clusters of routine, leverage, bottleneck and critical occupations, and suitable strategies for supplying and sourcing talents for each cluster were proposed.