Reza Heydari - PhD Student in Sports Management, Faculty of Sports Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Mohammad keshtidar - Associate Professor, Department of Sport Management, Faculty of Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Mahdi Talebpour - Professor, Department of Sport Management, Faculty of Sport Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Homeyra Shojaei Shojaei - PhD in Sports Management, Urmia University, Urmia, Iran
Farzaneh Oveysi Sani - Master Student Sport management, Faculty of Sports Sciences,Ferdowsi University of Mashhad, Mashhad, Iran

The purpose of this study is to explore the effective factors on the productivity of human capital via an interpretive structural modeling (ISM) in General office of Sports and Youth in Khorasan Razavi Province. The present study is a qualitative research with an analytical nature and it is also an applied one that was conducted via interpretive structural modeling. Literature review, interviews and ISM questionnaires were used for data collection. The research population included professors and experts in sports management, managers, deputies and staff of the General office of Sports and Youth in Khorasan Razavi, of which ۳۵ people were totally selected through purposeful sampling in three stages of this study. According to the research findings, ۵۹ effective indicators were identified under seven major dimensions playing role in improving the productivity of human capital, which were classified into five levels. Motivational factors, organizational culture and work environment, the relationship between managers and employees along with individual factors, the quality of labor force, and finally the technology factor were identified under five levels of the model. Finally, it can be concluded that managers in sports organizations should pay special attention to the technology factor and its indicators, which have been identified as the foundation of improving employees’ productivity, which then provides the ground for exploiting other dimensions at higher levels.

Human Capital, Interpretive Structural Modeling, Individual Factors, labor Force Quality, Technology