Explaining Effective Factors on Human Resource Productivity using Multi- Attribute Decision Making Techniques

This study examines the effective factors that increase human resources productivity. The study is applied and descriptive- survey method is used for its implementation. A questionnaire has been used for data collection. Content validity is used to assess questionnaire validity that is estimated through professors comments and its reliability is calculated through Cronbachs alpha coefficient as 0.84. The statistical population of study consisted of 448 employees of Tehran Infrastructure Communications Co. Sample size of 207 patients was estimated using krejcie and Morgan Tables. The aim of this study was to prioritize the effective factors on increasing human resource productivity using multi-attribute decision making techniques. In examining these factors, human resource productivity has been considered as a function of individual, occupational, organizational and environmental factors. T test, Spss software, MADM model have been used in addition to descriptive statistics indices in order to analyze the data. Considering the results of comparisons in MADM model, the greatest impact is related to individual factors and organizational, occupational and environmental factors are in next priorities.