شناسایی و رتبه بندی عوامل مؤثر بر کاهش انگیزش کارکنان دانشی (مطالعه موردی: پژوهشگاه صنعت نفت)
محورهای موضوعی : بکارگیری الگوهای توسعه سرمایه های انسانی در توسعه توانمندی های سرمایه های انسانی
1 - دانشاه خلیج فارس بوشهر
کلید واژه: انگیزش, کاهش انگیزش, تحلیل سله مراتبی فازی, کارکنان دانشی.,
چکیده مقاله :
با توجه به نقش کارکنان دانشی در سازمان های دانش محور و نیز اهمیت انگیزش این گروه از کارکنان در ارتقای اثربخشی و بهره وری سازمان؛ هدف اصلی تحقیق، شناسایی و رتبه بندی عوامل مؤثر بر کاهش انگیزش کارکنان دانشی و ارائه الگویی برای بهبود آن در پژوهشگاه صنعت نفت است. پس از مرور ادبیات تحقیق و بهره گیری از نظرات خبرگان، مدل نهایی پژوهش آماده شد. اين پژوهش به لحاظ شيوه انجام كمي؛ از نظر جهت گيري، كاربردي و از حیث استراتژي، پيمايشی است. جامعه آماری پژوهش، مدیران، اعضای هیأت علمی و پژوهشگران پژوهشگاه صنعت نفت می باشند. برای رتبه بندی عوامل شناسایی شده از تکنیک تحلیل سلسله مراتبی فازی و با نظرسنجی از خبرگان استفاده شد. نتایج پژوهش حاکی از آن است که مهمترین عوامل مؤثر بر کاهش انگیزش کارکنان دانشی به ترتیب اولویت عبارتند از: کمبود فرصت های پیشرفت و ارتقاء؛ فقدان کارهای چالش برانگیز؛ کمبود آزادی عمل و استقلال؛ فرآیند ارزیابی عملکرد نامشخص کارکنان؛ پایین بودن حقوق و مزایا؛ عدم حمایت مدیریتی؛ نبود ارتباطات مستقیم با مدیر؛ و همکاران راحت طلب می باشند.
Considering the role of knowledge workers in knowledge-based organizations and the importance of the motivation of this group of employees to enhance the effectiveness and efficiency of the organization; the main objective of the research, identifying and ranking the factors affecting the reduction of the motivation of knowledge workers and providing a model for its improvement at the Research Institute of Petroleum Industry. After reviewing the research literature and using the experts' opinions, the final research model was prepared. This research is quantitative in terms of its approach, in terms of orientation, applied and in terms of strategy, survey. The statistical population of the research is managers, faculty members and researchers of the research institute of petroleum industry. Fuzzy hierarchy analysis technique was used to rank the identified factors and was used by experts. The results of the research indicate that the most important factors affecting the reduction of motivation of knowledge workers in order of priority are the lack of opportunities for improvement and progress; lack of challenging tasks; lack of freedom of action and independence; the process of evaluating the uncertain performance of employees; low salaries and benefits; Lack of managerial support; lack of direct communication with the manager; and willing co-workers.
[1] Sauve, E. Informal knowledge transfer. T+ D, 2007; 61(3), 22-24.
[2] Carleton, KHow to motivate and retain knowledge workers in organizations: A review of the literature. International Journal of Management, 2011; 28(2), 459.
[3] Ferraro, T., Pais, L., Moreira, J. M., & Dos Santos, N. R. Decent work and work motivation in knowledge workers: The mediating role of psychological capital. Applied Research in Quality of Life, 2018; 13(2), 501-523.
[4] Davenport, T. H. Thinking for a living: how to get better performance and results from knowledge workers. Boston: Harvard Business School Publishing. ISBN 2005; 1-59139-423-6.
[5] Drucker, P. F. The discipline of innovation. Harvard business review, 2002; 80, 95-104.
[6] Guthridge, M., Komm, A. B., & Lawson, E. Making talent a strategic priority. McKinsey Quarterly, 2008; 1, 48.
[7] El-Farr, H. K. Knowledge work and workers: A critical literature review. Leed University Business School, Working Paper Series, 2009; 1(1), 1-15.
[8] Rüdiger, K., & McVerry, A. Exploiting Europe’s knowledge potential: ‘Good work’or ‘could do better’. Knowledge work and knowledge workers in Europe, A report prepared for the Knowledge Economy Programme, London, and The Work Foundation. 2007.
[9] Olomolaiye, A., & Egbu, C. Motivating Knowledge Workers: The dilemma of HRM's contribution to knowledge management in the construction industry. In The International Salford Centre for Research and Innovation (SCRI) Research Symposium. University of Salford 2004; 30-31
[10] Rajabpour, E. Design Model of Career Path Management in Knowledge Workers (Case Study: Knowledge Workers of Research Institute of Petroleum Industry). Babashahi J. dissertation. Ph.D. University of Tehran. 2017 (in Persian)
[11] Babashahi J, Yazdani H, Tahmasebi R, Rajab Pour E. Designing of Competency model for knowledge workers in RIPI. Human Resource Management in Oil Industry. 2017; 8 (32):3-24. (in Persian)
[12] Munck, B. Artisans as knowledge workers: Craft and creativity in a long term perspective. Geoforum, 2019; 99, 227-237.
[13] TalebNiya, GH; Rajab Dori, H. The Effect of Professional Ethics on Employee Motivation. Ethics Quarterly, 2017; 7 (25), 47, 77-101. (in Persian)
[14] Thompson, M., & Heron, P. The difference a manager can make: organizational justice and knowledge worker commitment. The International Journal of Human Resource Management, 2005; 16(3), 383-404.
[15] Yazdani, T. Studing the relationship between job motivation and job attachment with psychological well-being of police personal in Bojnourd. 2017; 15, 7-44. (in Persian)
[16] Graves, L. M., & Sarkis, J. The role of employees' leadership perceptions, values, and motivation in employees' provenvironmental behaviors. Journal of Cleaner Production, 2018; 196, 576-587.
[17] Kumar, S., Motivating Employees: An Exploratory Study on Knowledge Workers. South Asian Journal of Management; Jul-Sep 2011; 18, 3, p. 26-47.
[18] Todericiu, R., Şerban, A., & Dumitraşcu, O. Particularities of Knowledge Worker's Motivation Strategies in Romanian Organizations. Procedia Economics and Finance, 2013; 6, 405-413.
[19] Lee, M. T., Raschke, R. L., & Louis, R. S. Exploiting organizational culture: Configurations for value through knowledge worker's motivation. Journal of Business Research, 2016; 69(11), 5442-5447.
[20] Jamrog, J. The perfect storm: The future of retention and engagement. People and Strategy, 2004; 27(3), 26.
[21] Vora, M. K. Creating employee value in a global economy through participation, motivation and development. Total Quality Management & Business Excellence, 2004; 15(5-6), 793-806.
[22] Dess, G.D. and Shaw, J.D. Voluntary turnover, social, capital, & organisational performance. Academy of Management Review, 2001; 26(3), 446-456.
[23] Kaye, B.; Jordan-Evans. S. Love ‘Em or Lose ‘Em: Getting Good People to Stay (4thed.). California: Berret-Koehler Publishers. 2008.
[24] Phillips, J and Edwards, L. Managing Talent Retention, an ROI Approach. San Francisco: Pfeiffer. 2009.
[25] Kaye, B.and Jordan-Evans. What matters most? A White paper about organisational stay factors. 2012; Available www.keepem.com.
[26]Erwin, T. Five Top employee retention strategies. 2011; Available http://www.mondaq.com/x/155322/Five+Top+Employee.
[27] Benest, F. Retaining and Growing Talent: Strategies to Create Organizational “Stickiness”. Public Management, 2008; 90(9), 20-24.
[28] Sutherland, M. and Jordaan, W. Factors affecting the retention of knowledge workers. SA Journal of Human Resources Management, 2004; 2, 55-64.
[29] Reddy, K., & Govender, K. K. Retaining Knowledge Workers: A Case Study of a Leading South African Bank. Mediterranean Journal of Social Sciences, 2014; 5(23), 2768.
[30] Milne, G. Motivating the knowledge worker to perform. MBA dissertation, GIBS: South Africa. 2007.
[31] Collins, H. Tacit and explicit knowledge. University of Chicago Press. 2010.
[32] Samuel, M. and Chipunza. C. Employee retention and turnover: Using motivational variables as a panacea. African Journal of Business Management, 2009. 3(8), 410-415.
[33] Veber, J. Et al. Management, základy, moderní manažerské přístupy, výkonnost a prosperita. Management Press. Praha. 2009; ISBN 978-80- 7261-200-0.
[34] Frick, D. E. Motivating the knowledge worker. DEFENSE INTELLIGENCE AGENCY WASHINGTON DC. 2011.
[35] Mládková, L., Zouharová, J., & Nový, J. Motivation and knowledge workers. Procedia-Social and Behavioral Sciences, 2015; 207, 768-776.
[36] Frost, P. Toxic Emotions at Work. Harvard Business School Press, Boston, MA. 2003.
[37] Goldman, A. Leadership pathology as a nexus of dysfunctional organizations. Paper presented at the Academy of Management, Honolulu, Hawaii, August. 2005.
[38] Lipman-Blumen, J. The Allure of Toxic Leaders. Oxford University Press, New York, NY. 2005.
[39] Tepper, B. J., Carr, J. C., Breaux, D. M., Geider, S., Hu, C., & Hua, W. Abusive supervision, intentions to quit, and employees’ workplace deviance: A power/dependence analysis. Organizational Behavior and Human Decision Processes, 2009; 109(2), 156-167.
[40] Wu, T. Y., & Hu, C. Abusive supervision and employee emotional exhaustion dispositional antecedents and boundaries. Group & Organization Management, 2009; 34(2), 143-169.
[41] Celik, M., Er, I. D., & Ozok, A. F. Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 2009; 36(1), 190-198.
[42] Chang, D. Y. Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 1996; 95(3), 649-655.