Effective indicators in human capital productivity of urban management organization

• Main Authors: B. Mirafshar, M.R. Babaei, E. Rostamy Roochi, A. Rashidi, V. Pourahad
• Format: Article
• Language: English
• Published: Tehran Muncipality 2017-04-01
• Series: International Journal of Human Capital in Urban Management
• Subjects: Factor analysis; human capital; Improvement Programming; Matrix of Variables; productivity; Strategic Resources; Urban Management Organization
• Online Access: http://www.ijhcum.net/article_26417_73dad35eebcae0d0f2d43d93d11ff639.pdf

Human capital is considered as a strategic resource among the main resources of any organization and an important factor in producing and presenting services to the society. Improving the productivity of human capital is the main cause of the improvement of productivity in organizations. Management of human capital development, focuses on the quantitative models and technics to test the productivity of the entire system. The central goal is to determine common and distinguishable indicators of human capital productivity in two levels of staff (individual) and organization (management). According to the previous researches and available managerial theories, 29 variables were selected for two main indicators in two levels of staff and organization. Due to the complexity of testing the productivity in the urban management organizations and the need to determine the variables, exploratory factor analysis test was randomly distributed and conducted among 350 people from the target society of human capital urban management (Tehran Municipality) during four phases with setting out a questionnaire consisted of 22 items in Likert scale which distributed randomly. Output of first phase supported 19 variables out of 29 first variables. In the next phase, matrix of variables (partial indicators), was formed due to the correlation coefficients and classified and defined according to two main research indicators by variance analysis in which weight of organization index and staff index were calculated 0.623 and 0.597, respectively. Therefore, programing for the improvement according to process cycle for both main indicators and other exploratory indicators was offered.