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ارائه کارت امتیازی متوازن منابع انسانی مبتنی برشبیه‌سازی سیستم‌های پویا (مطالعه موردی: صنایع غذایی) | ||
| مدیریت صنعتی | ||
| مقاله 3، دوره 10، شماره 3، 1397، صفحه 367-386 اصل مقاله (890.82 K) | ||
| نوع مقاله: مقاله علمی پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2018.264205.1007478 | ||
| نویسندگان | ||
حسین صفری   1؛ مصطفی زندیه 2؛ احسان خان محمدی3
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| 1استاد، گروه مدیریت صنعتی، دانشکده مدیریت دانشگاه تهران، تهران، ایران | ||
| 2دانشیار، گروه مدیریت صنایع، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران | ||
| 3دکتری، تحقیق در عملیات، دانشکده مدیریت دانشگاه تهران، تهران، ایران | ||
| چکیده | ||
| هدف: هدف این پژوهش ارائه مدل سیستمی دینامیکی برای ساخت منظر رشد و یادگیری یک شرکت تولیدی است. تمرکز اصلی مدل بر مدیریت منابع انسانی شرکت است. روش: در این پژوهش، رویکردی مبتنی بر شبیه‌سازی پویا به‌منظور ارزیابی وضعیت نیروی انسانی ارائه شده است. بدین منظور ضمن شناسایی مهم‌ترین متغیرهای منظر رشد و یادگیری کارت امتیازی متوازن، دو مدل کیفی و کمی طراحی و پیاده‌سازی شد. مدل کیفی توصیف‌کننده روابط علت و معلولی و چگونگی وجود بازخورد سیستمی بین متغیرهاست و مدل کمی بر روابط ریاضی بین آنها مبتنی است. یافتهها: مدل پیشنهاد شده در یک شرکت تولیدی فعال در صنعت غذایی و آشامیدنی کشور به اجرا درآمد. بر اساس اهداف استراتژی منابع انسانی آن شرکت، سناریوهای متفاوتی تعریف شد و با اجرای سناریوها، وضعیت شاخص‌های منابع انسانی در آینده شرکت پیشبینی و تحلیل شد. نتیجهگیری: با استفاده از مدل ارائه‌شده، مدیران شرکت قادر خواهند بود که عوامل مؤثر و میزان تأثیر آنها را در مهم‌ترین شاخص‌های منابع انسانی ارزیابی کرده و برای کسب موفقیت در آینده تصمیم‌های لازم را اتخاذ کنند. | ||
| کلیدواژه‌ها | ||
| کارت امتیازی متوازن منابع انسانی؛ برنامه‌ریزی نیروی انسانی؛ شبیه‌سازی سیستم‌های پویا؛ تحلیل سناریو؛ منظر رشد و یادگیری | ||
| عنوان مقاله [English] | ||
| Proposing a Human Resource Balanced Scorecard based on Dynamic Systems Simulation s-based | ||
| نویسندگان [English] | ||
| Hossein Safari1؛ Mostafa Zandieh2؛ Ehsan Khanmohammadi3 | ||
| 1Prof., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran | ||
| 2Associate Prof., Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Ira | ||
| 3Ph.D., Department of Operation Research, Faculty of Management, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| Objective: The purpose of this study is to provide a dynamic system model for modeling the growth and learning perspective of a manufacturing company. The main focus of the model is on the company's human resources management process. Methods: In this study, an approach based on dynamic simulation has been proposed to evaluate the human resource condition. In order to do that, the researchers aimed to identify the most important variables in the learning and growth perspective of the balanced scorecard. Besides, two qualitative and quantitative models were designed and implemented. The qualitative model is describing causal relationships and the presence of system feedbacks between the variables and the quantitative model is based on the mathematical relations between them. Results: The proposed model was implemented in an Iranian production company working in the food and beverage industry. Different scenarios were defined based on the human resource strategic objectives in that company. The future status of human resource indicators of the company was predicted and analyzed through running scenarios in the dynamics model. Conclusion: The company managers will be able to evaluate the effective factors and their impact on the most important human resource indicators using the proposed model and to make the necessary decisions to achieve success in the future. | ||
| کلیدواژه‌ها [English] | ||
| Human resource balanced scorecard, Workforce planning, Dynamic system simulation, scenario planning, Growth and learning perspective | ||
| مراجع | ||
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آذر، عادل؛ معزز، هاشم (1393). اندازهگیری همسویی راهبردی سازمانی: رویکرد پویایی سیستم. فصلنامه مدیریت صنعتی، 6 (2)، 197- 218. الهی، مرتضی؛ لطفی، محمد مهدی (1392). تحلیل تغییرات نیروی انسانی صنعت تایر خودروی سواری کشور با رویکرد پویاییهای سیستمی. فصلنامه مدیریت صنعتی، 5 (2)، 23- 48. محمودی، زیرار؛ صیادی، احمد رضا؛ رجبزاده قطری، علی (1395). ارائه مدل پویای ارزیابی بهرهوری نیروی کار معادن (مطالعه موردی: مجمتع معدنی و صنعتی چادر ملو). فصلنامه مدیریت صنعتی، 8 (2)، 287-308.
References Abdel-Hamid, T. K., & Madnick, S. E. (1991). Software project dynamics: an integrated approach (Vol. 1). Prentice Hall Englewood Cliffs, NJ.
Anantadjaya, S. (2007). Financial Aspects of HR Scorecard & Business Process Evaluation: An Empirical Study in Retail & Service Industries. 4th Universitas Surabaya International Annual Symopsium on Management, Available at: SSRN: https://ssrn.com/abstract =1006714.
Andersen, D. F., & Emmerichs, R. M. (1982). Analyzing US military retirement policies. Simulation, 39(5), 151–158.
Azar, A. & Moazzez, H. (2014).Measuring Organizational Strategic Alignment: A Systems Dynamics Approach. Industrial Management Journal, 6(2), 197-218. (in Persian)
Becker, B. E., Huselid, M. A., Huselid, M. A., & Ulrich, D. (2001). The HR scorecard: Linking people, strategy, and performance. Harvard Business Press.
Bohlandt, F. (2006). Is Your HR Scorecard Up To Date. Master of Business Administration, Graduate School of Business of the University of Stellenbosch.
Boselie, P., Paauwe, J., & Jansen, P. (2001). Human resource management and performance: lessons from the Netherlands. International Journal of Human Resource Management, 12(7), 1107–1125.
Boxall, P. (2003). HR strategy and competitive advantage in the service sector. Human Resource Management Journal, 13(3), 5–20.
Brassington, K., & Slemen, S. (1997). SUN LIFE’S human resources SCORECARD. Measuring Business Excellence, 1(2), 60–62.
Chadwick, C., & Dabu, A. (2009). Human resources, human resource management, and the competitive advantage of firms: Toward a more comprehensive model of causal linkages. Organization Science, 20(1), 253–272.
Cunningham, J. B., & Kempling, J. (2011). Promoting organizational fit in strategic HRM: Applying the HR scorecard in public service organizations. Public Personnel Management, 40(3), 193–213.
Delery, J. E., & Doty, D. H. (1996). Modes of theorizing in strategic human resource management: Tests of universalistic, contingency, and configurational performance predictions. Academy of Management Journal, 39(4), 802–835.
Doman, A., Glucksman, M. A., Tu, N.-L., & Warren, K. (2000). The talent-growth dynamic. The McKinsey Quarterly, 106.
Elahi, M. & Lotfi, M-M. (2013). A System Dynamics Approach for Analyzing the Human Resource Changes in Sedan Tire Industry of Iran. Industrial Management Journal, 5(2), 23-48. (in Persian)
Fathi M. R., Safari H., Faghih A. (2013) Integration of graph theory and matrix approach with fuzzy AHP for equipment selection. Journal of Industrial Engineering and Management, 6(2), 477-494.
Ferris, G. R., Perrewé, P. L., Ranft, A. L., Zinko, R., Stoner, J. S., Brouer, R. L., & Laird, M. D. (2007). Human resources reputation and effectiveness. Human Resource Management Review, 17(2), 117–130.
Fleetwood, S., & Hesketh, A. (2008). Theorising under-theorisation in research on the HRM-performance link. Personnel Review, 37(2), 126–144.
Forrester, J. W. (1961). Industrial dynamics, vol. 2. Cambridge, MA: MIT Press.
Gregoriades, A., & Karakostas, B. (2004). Unifying business objects and system dynamics as a paradigm for developing decision support systems. Decision Support Systems, 37(2), 307–311.
Gupta, Y. P., & Gupta, M. C. (1990). A process model to study the impact of role variables on turnover intentions of information systems personnel. Computers in Industry, 15(3), 211–238.
Hafeez, K., & Abdelmeguid, H. (2003). Dynamics of human resource and knowledge management. Journal of the Operational Research Society, 54(2), 153–164.
Harney, B., & Dundon, T. (2006). Capturing complexity: developing an integrated approach to analysing HRM in SMEs. Human Resource Management Journal, 16(1), 48–73.
Josiane, F.-S. (2009). The HR Scorecard: Linking People, Strategy and Performance. Management Research News, 32(3), 297–299.
Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press: New York.
Ketchen Jr, D. J., Boyd, B. K., & Bergh, D. D. (2008). Research methodology in strategic management: Past accomplishments and future challenges. Organizational Research Methods, 11(4), 643–658.
Liou, D., & Lin, C. (2008). Human resources planning on terrorism and crises in the Asia Pacific region: Cross‐national challenge, reconsideration, and proposition from western experiences. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in Alliance with the Society of Human Resources Management, 47(1), 49–72.
Mahmoodi, Z., Sayadi, A. & Rajabzadeh Ghatari, A. (2015). Dynamic modelling of labor productivity in mining- Case study: Chadormaluo mining and industry complex. Industrial Management Journal, 8(2), 287-308. (in Persian)
Nag, R., Hambrick, D. C., & Chen, M. (2007). What is strategic management, really? Inductive derivation of a consensus definition of the field. Strategic Management Journal, 28(9), 935–955.
Norton, D., & Kaplan, R. (1992). The Balanced Scorecard. Measures that drive performance. Harvard Business Review, enero-febrero. AAA https://steinbeis-bi.de/images/artikel/hbr_ 1992.pdf.
Packer, D. W. (1964). Resource acquisition in corporate growth (Vol. 2). Mit Press.
Powell, T. C. (2001). Competitive advantage: logical and philosophical considerations. Strategic Management Journal, 22(9), 875–888.
Reid, W. M., & Taylor, R. G. (1989). An application of absorbing Markov analysis to human resource issues in public administration. Review of Public Personnel Administration, 10(1), 67–74.
Roehling, M. V., Boswell, W. R., Caligiuri, P., Feldman, D., Graham, M. E., Guthrie, J. P., … Tansky, J. W. (2005). The future of HR management: Research needs and directions. Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in Alliance with the Society of Human Resources Management, 44(2), 207–216.
Ronda‐Pupo, G. A., & Guerras‐Martin, L. Á. (2012). Dynamics of the evolution of the strategy concept 1962–2008: a co‐word analysis. Strategic Management Journal, 33(2), 162–188.
Runcie, J. F. (1980). Dynamic-systems and the quality of work life. Personnel, 57(6), 13–24.
Saadat, E. (2007). Human resource management (12th ed.). SAMT. Tehran.
Safari H., Machado V. C., Zadeh Sarraf A., Maleki M. (2014). Multidimensional personnel selection through combination of TOPSIS and Hungary assignment algorithm. Management and Production Engineering Review, 5(1), 42-50.
Sterman, J. D. (2000). Business dynamics: systems thinking and modeling for a complex world (Vol. 19). Irwin/McGraw-Hill Boston.
Thomas, P., Wilson, J., & Leeds, O. (2013). Constructing ‘the history of strategic management’: A critical analysis of the academic discourse. Business History, 55(7), 1119–1142.
TURNER, G. (2000). Using human resource accounting to bring balance to the balanced scorecard. Journal of Human Resource Costing & Accounting, 5(2), 31–44.
Tzafrir, S. S. (2005). The relationship between trust, HRM practices and firm performance. The International Journal of Human Resource Management, 16(9), 1600–1622.
Vancouver, J. B. (2008). Integrating self-regulation theories of work motivation into a dynamic process theory. Human Resource Management Review, 18(1), 1–18.
Wacker, J. G. (1998). A definition of theory: research guidelines for different theory-building research methods in operations management. Journal of Operations Management, 16(4), 361–385.
Wheelen, T. L., Hunger, J. D., Hoffman, A. N., & Bamford, C. E. (2017). Strategic management and business policy. pearson. Wiese, D. S., & Buckley, M. R. (1998). The evolution of the performance appraisal process. Journal of Management History, 4(3), 233–249.
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