A Survey of the Relationship between Stress Management and Workforce Productivity of One of Iran's Industrial Parks

A B ST R A C T The purpose of the study was to determine the relationship between stress management and workforce productivity of Amol Industrial Park located in Mazandaran Provine. The total number of universe of the research was 250 top managers, middle managers and supervisors shouldering a responsibility in the before-mentioned Industrial Park and the number of the sample population was determined through Morgan sample population volume table (n=150). For data collection, Background Information questionnaire, Stress Management and Workforce Productivity questionnaires were used. As for analyzing the data gained after collecting the questionnaires; Descriptive and inferential statistics were used. Pearson Correlation Test, One Sample t Test, Independent Samples Test and Regression Tests were used for hypothesis testing. The results from analyzing the Sub Hypotheses of the research demonstrated that there was a positive and significant correlation between Respectful and responsible manager (P=0.005), Managing and communicating existing and future work (P=0.002), Managing the individual within the team (P=0.01), Reasoning/managing difficult situations, (P=0.004) and workforce productivity in the universe of the research in hand. As for analyzing the Main Hypotheses of the research; the results demonstrated that there was a positive and significant correlation between stress management and workforce productivity in the universe of the research in hand (P=0.001). The results also demonstrated that there was no significant difference between the opinions of male and female managers about the level of workforce productivity and stress management being put in practice in the before-mentioned Industrial Park. And finally the results indicate that the level of workforce productivity and stress management being put in practice in the before-mentioned Industrial Park is not under the influence of any of Individual characteristics of managers (e.g. Age, Education Level, Job Title, Employment Background and Employment Status).

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