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تأثیر رفاه کارکنان بر بهرهوری سازمان با توجه به نقش میانجی مدیریت دانش در بخش منابع انسانی صنعت نفت ایران | ||
| مدیریت راهبردی دانش سازمانی | ||
| مقاله 6، دوره 9، شماره 1 - شماره پیاپی 32، فروردین 1405، صفحه 141-166 اصل مقاله (1.26 M) | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.47176/SMOK.2026.1971 | ||
| نویسندگان | ||
| یاسر قاسمی نژاد* 1؛ محمد درویشی2 | ||
| 1استادیار، گروه مدیریت صنعتی عملکرد، دانشکده مدیریت و برنامهریزی راهبردی، دانشگاه جامع امام حسین (ع)، تهران، ایران | ||
| 2کارشناسی ارشد مدیریت صنعتی گرایش تولید و عملیات، واحد تهران جنوب دانشگاه آزاد اسلامی، تهران، ایران | ||
| تاریخ دریافت: 29 مهر 1404، تاریخ بازنگری: 25 آذر 1404، تاریخ پذیرش: 01 اسفند 1404 | ||
| چکیده | ||
| هدف: پژوهش به دنبال پاسخ به این سوال کلی بود که: آیا رفاه کارکنان بر مولفههای بهرهوری سازمان (اعم از انگیزش، بازخورد، حمایت سازمانی و منزلت اجتماعی) در صنعت نفت تأثیر دارد؟ آیا مدیریت دانش در رابطه بین رفاه کارکنان و مولفههای بهرهوری سازمان نقش میانجی دارد؟ روش پژوهش: این پژوهش کاربردی بوده و از حیث گردآوری دادهها از روش توصیفی ـ پیمایشی استفاده میکند. برای آزمون کردن فرضیهها در قسمت آمار استنباطی از تحلیل مدلسازی معادلات ساختاری در نرم افزار SmartPLS4 استفاده شده است. ابزار گردآوری داده پرسشنامههای استاندارد بوده و بررسی پایایی از شاخصهای آلفای کرونباخ و پایایی مرکب استفاده و حجم نمونه با روش نمونهگیری تصادفی ساده و از فرمول کوکران برابر با 157 نفر محاسبه شد. یافتهها: رفاه کارکنان با اعداد معناداری تأثیر مستقیم و مثبتی بر مولفههای بهرهوری سازمانی در صنعت نفت دارد. همچنین نتایج نشان داد مدیریت دانش با اعداد معناداری نقش میانجی در رابطه بین رفاه کارکنان و مولفههای بهرهوری سازمانی ایفا میکند، به این معنا که ارتقای رفاه کارکنان میتواند درصورت بهبود مدیریت دانش، به افزایش بهرهوری منجر شود. بحث: رفاه کارکنان تأثیر مستقیم، مثبت و معناداری بر تمامی مؤلفههای بهرهوری سازمانی (انگیزش، بازخورد، حمایت سازمانی و منزلت اجتماعی) در صنعت نفت ایران دارد. قویترین تأثیر بر انگیزش کارکنان مشاهده شد. مهمتر آنکه، مدیریت دانش نقش میانجی معنادار و قوی در این رابطه ایفا میکند. نتیجهگیری: مدیران صنعت نفت باید سیاستهایی اتخاذ کنند که هم رفاه کارکنان و هم مدیریت دانش را به صورت توأمان ارتقاء داده و متعاقباً باعث افزایش رضایت و مشارکت کارکنان و بهرهوری سازمان گردد و بر اهمیت ارتباط بین رفاه کارکنان و بهرهوری سازمان با توجه به نقش میانجی مدیریت دانش در صنعت نفت در یک کشور، تأکید شد. | ||
تازه های تحقیق | ||
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| کلیدواژهها | ||
| انگیزش؛ بازخورد؛ حمایت سازمانی؛ رفاه کارکنان؛ مدیریت دانش؛ منزلت اجتماعی کارکنان | ||
| عنوان مقاله [English] | ||
| The Impact of Employee Welfare on Organizational Productivity Considering the Mediating Role of Knowledge Management in the Human Resources Sector of Iran's Oil Industry | ||
| نویسندگان [English] | ||
| Yaser Ghasemi1؛ Mohamad Darvishi2 | ||
| 1Assistant Professor, Department of Industrial Management, Faculty of Management and Strategic Planning, Imam Hossein University, Tehran, Iran, E-mail: Yaserghn@gmail.com | ||
| 2Master's degree, Department of Industrial Management, Production and Operations Orientation, South Tehran Branch, Islamic Azad University, Tehran, Iran, E-mail: Dm.mohamad332.darvishi.57@gmail.com | ||
| چکیده [English] | ||
| Purpose: Today, productivity as a continuous process provides the power and ability necessary to solve many problems and studies the existing inadequacies in the country such as low profitability, increased waste, inability to compete, lack of maximum utilization of production capacity and generally lack of proper understanding of a system. Governments and companies try to get as close as possible to these indicators by using appropriate techniques and methods. Factors such as employee training and employment, multi-skill training programs, employee motivation, job satisfaction, bonuses paid to employees and organizational culture are effective in increasing employee productivity. On the other hand, according to some researchers, knowledge management is known as a strategic lever for improving organizational productivity. Knowledge management is a set of processes for identifying, storing, sharing, and utilizing the organization's valuable knowledge. Empirical studies show that employees who enjoy a higher level of well-being are more likely to participate in knowledge sharing and creation processes, which can improve organizational performance. In the oil industry, the nature of its activities is often based on specialized knowledge and technical skills, the importance of knowledge management for optimizing human resources and large volumes of data and work experience is particularly evident. On the other hand, ignoring employee well-being can lead to reduced motivation, inefficient knowledge management processes, and consequently a decline in organizational productivity. Organizations that make meaningful investments in the area of human resource well-being usually enjoy a higher level of motivation, productivity, and competitive advantage. In high-risk and complex industries such as the oil industry, the importance of employee well-being is doubly important. This industry is inherently tied to difficult working conditions, environmental pressures, technical complexities, and high productivity requirements. In such environments, improving well-being can increase job satisfaction and work output in addition to reducing job stress and physical and psychological pressures. The technical knowledge of experienced and sometimes retired employees in the oil industry is a valuable resource that must be preserved and utilized. If employees feel a sense of well-being and value, they are more likely to share their knowledge and experiences with others. Indeed, by improving the overall welfare of employees within the organization, and through identifying and preserving knowledge, acquiring, transferring, sharing, and applying it, organizational productivity will subsequently be enhanced. The present study was conducted under the title "The Effect of Employee welfare on Organizational Productivity Components Considering the Mediating Role of Knowledge Management in the Oil Industry". This study sought to answer the general question: Does employee welfare have an effect on organizational productivity components (including motivation, feedback, organizational support, and social status) in the oil industry? Does knowledge management play a mediating role in the relationship between employee welfare and organizational productivity components? Methodology: The present study is an applied research in terms of its purpose and uses a descriptive-survey method in terms of data collection. In this study, structural equation modeling analysis using the PLS method in SmartPLS4 software was used to test the hypotheses in the inferential statistics section. The data collection tool was standard questionnaires, which were used to examine the validity of the questionnaire questions using convergent validity and divergent validity indices, and to examine the reliability using Cronbach's alpha and composite reliability indices. The statistical population of this research consisted of 265 experts and human resource managers of the Ministry of Petroleum in Tehran. The sample size was calculated as 157 using Cochran's formula. Results: The findings of the research based on the fitted structural equation model in the case of significant values at the 95% confidence level showed that employee well-being with significant numbers of 36.93, 5.27, 2.74, 2.23 has a direct and positive effect on organizational productivity components (including motivation, feedback, organizational support and social status) in the oil industry. The results also showed that knowledge management with significant numbers of 4.85, 4.82, 2.11, 5.39 plays a mediating role in the relationship between employee well-being and organizational productivity components, meaning that improving employee well-being can lead to increased productivity if knowledge management is improved. Discussion: The findings reveal that employee welfare has a significant direct positive impact on all key components of organizational productivity (motivation, feedback, organizational support, and social status) in Iran’s oil industry, with the strongest effect observed on employee motivation. More importantly, knowledge management plays a strong and significant mediating role in this relationship. When employees experience higher levels of well-being, they are more willing to share and apply their knowledge, which in turn enhances organizational productivity. In the high-risk, knowledge-intensive oil sector, employee welfare and knowledge management function as two sides of the same coin. Simultaneous investment in both creates a virtuous cycle that not only boosts productivity but also fosters a healthier, more engaged, and sustainable workforce. This study is among the first to empirically examine the mediating role of knowledge management between employee welfare and organizational productivity in Iran’s oil industry, highlighting that balanced attention to “people” and “knowledge” is essential for achieving sustainable performance in this strategic sector. Conclusion: Oil industry managers should adopt policies that promote both employee well-being and knowledge management simultaneously, and subsequently increase employee satisfaction and engagement, and organizational productivity. This study is the first to focus on the importance of the relationship between employee well-being and organizational productivity, considering the mediating role of knowledge management in the oil industry in a country. | ||
| کلیدواژهها [English] | ||
| Employee Social Status, Employee Welfare, Feedback, Knowledge Management, Motivation, Organizational Support | ||
| مراجع | ||
|
Ahmadi, M. M., Tavallaei, R., Mohtadi, M. M., & Taheri, A. (2021). Investigating the trend of "Knowledge Acquisition" developments: A Scientometric analysis of Iranian and global research. Strategic Management of Organizational Knowledge, 4(1), 1-49. https://doi.org/10.47176/smok.2021.1288 (In Persian) Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961 Almaamari, Q. A. (2023). Factors influencing employees’ productivity in Bahraini Alhelli Company—literature review. From Industry 4.0 to Industry 5.0: Mapping the Transitions, 383-387. https://doi.org/10.1007/978-3-031-28314-7_32 Alyew, A., Bassa, M., Reta, A., & Tora, M. (2020). A Study on Factors Affecting Labour Productivity on Construction Projects in Wolaita Zone, Ethiopia. Int. J. Eng. Res, 8(12), 817-822. https://doi.org/10.17577/ijertv8is120385 Ampong, I. (2024). Assessing the effect of employee welfare and compensation on organizational performance: a case of Sahel Sahara Bank Ghana limited. Cogent Business & Management, 11(1), 2315690. https://doi.org/10.1080/23311975.2024.2315690 Ataei, E. (2024). Identifying the Factors Affecting Human Resource Productivity. Transactions on Data Analysis in Social Science, 6(2), 127-139. https://doi.org/10.47176/TDASS.2024.127 Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://psycnet.apa.org/buy/2016-48454-001 Danna, K., & Griffin, R. W. (1999). Health and well-being in the workplace: A review and synthesis of the literature. Journal of management, 25(3), 357-384. https://doi.org/10.1177/014920639902500305 Grawitch, M. J., Ballard, D. W., & Erb, K. R. (2015). To be or not to be (stressed): The critical role of a psychologically healthy workplace in effective stress management. Stress and Health, 31(4), 264-273. https://doi.org/10.1002/smi.2619 Guest, D. E. (2017). Human resource management and employee well-being: Towards a new analytic framework. Human Resource Management Journal, 27(1), 22–38. https://doi.org/10.1111/1748-8583.12139 Gurmu, A. T., & Ongkowijoyo, C. S. (2020). Predicting construction labor productivity based on implementation levels of human resource management practices. Journal of Construction Engineering and Management, 146(3), 04019115. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001775 Jamali, H., Kabiri Naeini, M., & Elahi, Z. (2025). Investigating the Impact of Technostress on Knowledge Hiding with the Mediating Role of Job Burnout and the Moderating Role of Job Autonomy. Strategic Management of Organizational Knowledge, *8*(2), 134-152. https://doi.org/10.47176/smok.2025.1850 (In Persian) Kianto, A., Sáenz, J., & Aramburu, N. (2017). Knowledge-based human resource management practices, intellectual capital and innovation. Journal of business research, 81, 11-20. https://doi.org/10.1016/j.jbusres.2017.07.018 Masa'deh, R. E., Almajali, D. A., Alrowwad, A. A., & Obeidat, B. (2019). The role of knowledge management infrastructure in enhancing job satisfaction: a developing country perspective. Interdisciplinary Journal of Information, Knowledge & Management, 14. https://doi.org/10.28945/4169 Mousavi, M., Rastegar, A., & Shafiei Nikabadi, M. (2025). The Role of Artificial Intelligence in Enhancing Positive Human Resource Management Knowledge: A Causal Model. Strategic Management of Organizational Knowledge, *8*(3), 11-35. https://doi.org/10.47176/smok.2025.1891 (In Persian) Nonaka, I. J., & Takeuchi, H. (2021). Strategy as a way of life. MIT Sloan Management Review, 63(1), 56-63. https://www.proquest.com Nonaka, I., & Takeuchi, H. (2007). The knowledge-creating company. Harvard business review, 85(7/8), 162. https://lumsa.it/sites/default/files/UTENTI/u95/LM51_ITA_The%20Knowledge-Creating%20Company.pdf Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586 Palopitinas, R., Kurniawan, A., & Wijaya, T. (2024). Application of Rapid Application Development in designing knowledge management systems for enhancing employees’ knowledge and performance in the Ministry. Journal of Knowledge Management Systems, 18(1), 55-74. https://doi.org/10.60083/jidt.v6i1.468 Parween, S. (2024). The Significance of Employee Training and Development on Enhancing Workforce Efficiency. International Journal of Multidiciplinary Educational Research, 13(1), 72-79. http://ijmer.in.doi./2024/13.12 Rehmani, A. A., & Siddiqui, D. A. (2024). Impact of Knowledge Sharing Practices on Firm and Project Level Performance: Influence of VRIO Model: Evidence From the Energy Sector in Pakistan. https://doi.org/10.2139/ssrn.4954270 Rizwan, M. (2021). Strengthening the Performance of SMEs Through knowledge management, Market Orientation and Competitive Environment. Journal of Management and Research, 8(1), 50-68. https://doi.org/10.29145/jmr/81/080103 Robinson-Wright, C. L. (2024). Successful Strategies Manufacturing Leaders Use to Increase Manufacturing Employees’ Productivity, https://www.proquest.com. Walden University ProQuest Dissertations & Theses, 2024. 31768762 Salehnezhad, A., Shadmanfar, M. H., & Zolfaghari, Y. (2024). Presenting a model of key competencies and specialized skills of knowledge workers in the knowledge-based era using content analysis. Strategic Management of Organizational Knowledge, 7(4), 35-61. https://doi.org/10.47176/smok.2024.1810 (In Persian) Seyed Javadin, S. R., Nosratpanah, R, & Ashrazadeh, A. (2024). The influence of knowledge absorptive capacity on the knowledge-based enterprises performance by explaining the mediating role of innovation strategy and open innovation activities. Strategic Management of Organizational Knowledge, 7 (4), 11-33. https://doi.org/10.47176/smok.2018.1822 (In Persian) Shadmanfar, M. H., Alipoor, M. H., & Makvandi, F. (2022). Extracting the pattern of inhibitors and facilitators of knowledge sharing using metacombination method. Strategic Management of Organizational Knowledge, 5(3), 111-150. https://doi.org/10.47176/smok.2022.1423 (In Persian) Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources, 61(4), 794-820. https://doi.org/10.1111/1744-7941.12385 Tahhanpour, S., Arayi, V., Azimzadeh Irani, M., & Pourezzat, A. A. (2024). The Application of Artificial Intelligence and Knowledge Management in Improving Corporate Governance: A Case Study of Mapna Company. Strategic Management of Organizational Knowledge, 7(4), 141-163. https://doi.org/10.47176/smok.2024.1813 (In Persian) Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115–131. https://doi.org/10.1016/j.hrmr.2009.10.001 Warr, P. (2011). Work, Happiness, and Unhappiness. Psychology Press. https://doi.org/10.4324/9780203936856 Wibowo, D. Y. A., Muljono, P., & Sumertajaya, I. M. (2021). Analysis of the effect of knowledge management, competency, and innovation on employee performance. Jurnal Aplikasi Manajemen, 19(4), 804-â. https://doi.org/10.21776/ub.jam.2021.019.04.09 Yumhi, Y., Dharmawan, D., Febrian, W. D., & Sutisna, A. J. (2024). Application of rapid application development method in designing a knowledge management system to improve employee performance in national construction company. Jurnal informasi dan teknologi, 6(1), 155-160. https://doi.org/10.60083/jidt.v6i1.491 Zahedi, A. (2025). The Integration of Knowledge Management and Artificial Intelligence for Improving Human Resource Performance (Case Study: Executive Agencies of Markazi Province). Strategic Management of Organizational Knowledge, 8(3), 36-61. https://doi: 10.47176/smok.2025.1913 (In Persian) Zhang, Z., & Zhang, J. (2015). Social participation and subjective well-being among retirees in China. Social Indicators Research, 123(1), 143-160. https://doi.org/10.1007/s11205-014-0728-1 | ||
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آمار تعداد مشاهده مقاله: 154 تعداد دریافت فایل اصل مقاله: 81 |
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