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The relationship between quality of work life and faculty members’ productivity in Islamic Azad Universities in district 4 of Iran

Amirtash Ali Mohammad, Mozaffari Syed Amir Ahmad and Askari Ahmad Reza

Bearing in mind that the role of work life should have an acceptable quality in faculty members of Islamic Azad university in improving the quantity and quality of education and research as well as improving their efficiency and increasing their productivity; this research was conducted with the goal of investigating the relationship between quality of work life and faculty members’ productivity in Islamic Azad universities in district 4 of country. This is a correlational research whose population consists of all full time male faculty members of Islamic Azad University in district 4 of Islamic Republic of Iran with a total number of 1461 persons. 224 people were selected with a 2 step cluster and simple random sampling as the population. In this research, Walton’s quality of work life and Hershey and Goldsmith’s (achieve Model) Manpower Productivity questionnaires were utilized. Their face and content validity was approved by experts and their internal stabilities are 0.874 and 0.907, respectively. In addition, their time stabilities were obtained 0.977 and 0.967. In this research descriptive statistics was used for describing research variables and for investigating the relationship between research variables, simple correlation coefficient, determination coefficient and multiple regressions were used. In all cases, recognition level α=0.05 has been determined. The results of the research demonstrated that the mean of scores on quality of work life equals 3.2 with the standard deviation of 0.579. 49.9 percent of changes and variance related to scores man power productivity by changes and variance related to scores quality of work life can be described, explained and interpreted. Components of quality of work life, except work life social dependence and work life environment, are appropriate predictors for manpower productivity; therefore manpower productivity can be predicted through quality of work life variable.