تحلیل مدل ساختاری ویژگی‌های مدیریت دانش بر بهبود عملکرد کارکنان (مورد مطالعه شرکت ساخت تجهیزات سپاهان)
محورهای موضوعی : مدیریت بازرگانیزهرا علی زاده 1 , حسین رضایی دولت آبادی 2
1 - -دانشجوی کارشناسی ارشد، گروه مدیریت، واحدنجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران
2 - عضو هیات علمی و مدیر گروه مهندسی راهبرد دانش و فن آوری /استادیار، گروه مدیریت، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد،ایران
کلید واژه: عملکرد کارکنان, مدیریت دانش, مدل چان و چائو,
چکیده مقاله :
امروزه بشر بر این امر اعتراف دارد که دانش جزء جدایی ناپذیر زندگی در تمامی ارکان است. خلق، انتقال و به‌کارگیری دانش باعث خلاقیت در کارکنان می‌شود و نوآوری و عملکرد را بهبود می‌بخشد. در پژوهش حاضر، به تحلیل مدل ساختاری ویژگی‌های مدیریت دانش بر بهبود عملکرد کارکنان شرکت ساخت تجهیزات سپاهان با استفاده از دیدگاه مدل چان و چائو پرداخته شده است. این پژوهش کاربردی و از نظر روش، توصیفی- همبستگی است. در این راستا، برای گردآوری اطلاعات و آزمون فرضیه‌ها، از پرسشنامه‌ای حاوی 61 سوال استفاده شد. جامعه آماری این پژوهش شامل کارکنان بخش اداری شرکت ساخت تجهیزات سپاهان با تعداد 160نفر در سال 1394-1393 بوده و نمونه آماری بر طبق رابطه کوکران 114 نفر تعیین گردید. نتایج نشان می‌دهد که تأثیر مدل ساختاری ویژگی‌های مدیریت دانش بر بهبود عملکرد کارکنان معنادار است. از میان متغیرها، متغیرهای تبدیل، تکنولوژی، و کاربرد، بیشترین وزن را در تشکیل مدیریت دانش بر عهده دارند. همچنین نتایج نشان داد که ویژگی‌های مدیریت دانش به میزان 29 درصد از تغییرات عملکرد کارکنان را تبیین می‌کند. بنابراین، شرکت ساخت تجهیزات سپاهان، با برگزاری دوره های ضمن خدمت جهت آگاهی بیشتر کارکنان و مدیران با مدیریت دانش و روزآمد سازی مهارت‌های تخصصی در ارتباط با تکنولوژی می‌توانند به بقا و رشد خود در عرصه رقابتی کمک کنند.
Nowadays, human admits that knowledge is an inseparable part of life in all pillars. Transferring, creating and using knowledge management caused creativity in staff and improved their innovation and performance. This study, analyzed the structural model of knowledge management features on improvement of staff performance in the Sepahan Manufacturing Equipment Company using Chan and Chao model. This was an applied study, and in terms of method it was descriptive-correlation. A questionnaire containing 61 questions was utilized in order to collect the data, and testing the hypothesis. The statistical population of this study included 160 people who were working in the Sepahan Manufacturing Equipment Company from 2014 to 2015, and using Cochrane's formula, the sample size was 114 people. Results showed that the effectiveness of the structural model of knowledge management features on staff performance improvement was significant. Moreover, conversion, technology and application had the most weight to organize knowledge management among other variables. Furthermore, the results showed that knowledge management features explained the 29% changes in staff performance. Hence, the Sepahan Manufacturing Equipment Company can help to survive and grow in the competitive area using in-service courses in order to more awareness of staff and managers in the field of knowledge and updated skills related to the technology
Abdeali, G., & Moslemi, R. (2013). Analyzing the impact of knowledge management on organizational entrepreneurship in Isfahan Alfa Sam Company. International Journal of Management Academy, 1(1), 49-57.
Ahmadi, E., Korahimoghadam, S., & Rahimi, F. (2012). The effect of knowledge management strategies on organizational innovation & performance in Jahad_e_Keshavarzi organization of chaharmahal and Bakhtiari province. National Conference on Knowledge Management: Present and Future, Shahid Chamran University of Ahvaz, Iran, (In Persian).
Ahmadi-Baladehi, S. M., & Mirzaee-Arabi, M. A. (2014). Studying the relation between knowledge management and personnel creativity (case study: headqaurters of mazandaran province). NAJA Human Resources, 9(37), 29-48, (In Persian).
Akhavan, P., Oliaei, E., Dastranj-Mamaghani, N., & Saghafi, F. (2010). Developing knowledge management cycle processes based on knowledge management success factors. Journal of Science and Technology Policy, 3(2), 1-11, (In Persian).
Ansari, M., Rahmani-Vashanloui, H., Rahmani, K., Hosseini, A., & Hasankhani, H. (2013). Designing evaluation framework of readiness for establishing knowledge management system in organizations according to critical success factors. Journal of Management and Development Process, 26(1), 61-86, (In Persian).
Ashena, M., Asgari, N., Moradi-Saleh, A., & Ghafouri, D. (2014). The role of organizational culture in facilitating knowledge management practices. Journal of Information Technology Management, 5(4), 1-22, (In Persian).
Badriazarin, Y., Seyedameri, M., & Imanpoor, A. (2013). Regression analysis of the relationship between knowledge management components and human resource performance. Journal of Sport Management, 4(15), 35-50, (In Persian).
Bahreini, K., & Houshangi, M. (2010). Investigating and analysis the role of quality management in constructing knowledge management value chain in organization. Journal of Management Research, 20(83), 99-120, (In Persian).
Chang, M. Y., Hung, Y. C., Yen, D. C., & Tseng, P. T. (2009). The research on the critical success factors of knowledge management and classification: yuan of taiwan framework project in the executive government. Expert Systems with Applications, 9(12), 5376-5386.
Choi, B., & Lee, H. (2003). An empirical investigation of KM styles and their effect on corporate performance. Information and Management, 4 (5). 403–417.
Cohen, J. F., & Olsen, K. (2015). Knowledge management capabilities and firm Performance: A test of universalistic, contingency and complementarity perspectives. Expert Systems with Applications, 42(3), 1178-1188.
Cronbach, L. J. (1951), Cofficient alpha and the internal structural of tests. Psychomomertrika, 16(3), 297-337.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservables variables and measurement error. Journal of High Technology Management Research,11(1),137-153.
Gefen, D., Straub, D. W., & Boudreau, M. C. (2000). Structural equation modeling and regression: guidelines for research practice. Communication of the Association for Information Systems, 4(1), 1-79.
Ghaderi, S. F., Azadeh, M. A., Mirjalili, M., & Sheikhalishahi, M. (2010). Assessment human resources of banks using DEA and fuzzy DEA approaches. Journal of Industrial Engineering, 44(2), 213-228, (In Persian).
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed). New Jersey: Prentice Hall.
Halawi, L., Aronson, J., & McCarthy, R. (2005). Resource-based view of knowledge management for competitive advantage. The Electronic Journal of Knowledge Management, 3(2), 75-86.
Hayes, A. F. (2009). Beyond baron and kenny: statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408 – 420.
Hosseini, M. H., & Akbari, M. (2014). Designing a knowledge management excellence model based on interpretive structural modeling. Journal of Information Technology Management, 6(3), 351-374, (In Persian).
Huysman, M. (2006). IT to support knowledge sharing in communities: towards a social capital analysis. Journal of Information Technology, 21(3), 40-51.
Lee, M. R., & Lan, Y. C. (2011). Toward a unified knowledge management model for SMEs. Expert Systems with Applications, 38(1), 729-735.
Lee, H,. & Choi, B. (2003). Knowledge management enablers, processes and organizational performance: an integrative view and empirical examination. Journal of Management Information Systems, 20(1), 179-228.
Moss, E., Roussean, D., Parent, S., St-Laurent, D., & Saintonge, J. (1998). Correlates of attachment at school age: maternal reported stress, mother- child interaction, and behavior problems. Child Development, 6 (5), 1390-1405.
Nasr, S. H. (2013). Investigating the relationship between the aspects of knowledge management and employee performance based on Nonaka-Takeuchi model in Esfahan Technical and vocational training organization. Unpublished Master's Thesis, Islamic Azad University Najafabad Branch, Iran, (In Persian).
Patil, S. K,. & Kant, R. (2014). A Hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Applied Soft Computing, 18, 126-135.
Ritala, P., Olander, H., Michailova, S., & Husted, K. (2015). Knowledge sharing, knowledge leaking and relative innovation performance: an empirical study. Technovation, 35, 22-31.
Rouzdar, N. (2003). Scrutiny of knowledge management and It`s effect on function of bahman group managers, Tehran. Unpublished Master's Thesis, Islamic Azad University Tehran Branch, Iran, (In Persian).
Ryoo, S. Y., & Kim, K. K. (2015). The impact of knowledge complementarities on supply chain performance through knowledge exchange. Expert Systems with Applications, 42(6), 3029–3040.
Wong, K. Y. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management and Data Systems, 105(3), 261-279.
Woolliscroft, P., Caganova, D., Cambal, M., Holecek, J., & Pucikova, L. (2013), Implications for optimisation of the automotive supply chain through knowledge management. Procedia CIRP, 7, 211-216.
Zack, M. H., McKeen, J., & Singh, S. (2009). Knowledge management and organizational performance: an exploratory analysis. Journal of Knowledge Management,13(6), 392–409.
Zaied, A. N. H., Hussein, G. S., & Hassan, M. M. (2012). The role of knowledge management in enhancing organizational performance. Information Engineering and Electronic Business, 4(5), 27-35.
_||_Abdeali, G., & Moslemi, R. (2013). Analyzing the impact of knowledge management on organizational entrepreneurship in Isfahan Alfa Sam Company. International Journal of Management Academy, 1(1), 49-57.
Ahmadi, E., Korahimoghadam, S., & Rahimi, F. (2012). The effect of knowledge management strategies on organizational innovation & performance in Jahad_e_Keshavarzi organization of chaharmahal and Bakhtiari province. National Conference on Knowledge Management: Present and Future, Shahid Chamran University of Ahvaz, Iran, (In Persian).
Ahmadi-Baladehi, S. M., & Mirzaee-Arabi, M. A. (2014). Studying the relation between knowledge management and personnel creativity (case study: headqaurters of mazandaran province). NAJA Human Resources, 9(37), 29-48, (In Persian).
Akhavan, P., Oliaei, E., Dastranj-Mamaghani, N., & Saghafi, F. (2010). Developing knowledge management cycle processes based on knowledge management success factors. Journal of Science and Technology Policy, 3(2), 1-11, (In Persian).
Ansari, M., Rahmani-Vashanloui, H., Rahmani, K., Hosseini, A., & Hasankhani, H. (2013). Designing evaluation framework of readiness for establishing knowledge management system in organizations according to critical success factors. Journal of Management and Development Process, 26(1), 61-86, (In Persian).
Ashena, M., Asgari, N., Moradi-Saleh, A., & Ghafouri, D. (2014). The role of organizational culture in facilitating knowledge management practices. Journal of Information Technology Management, 5(4), 1-22, (In Persian).
Badriazarin, Y., Seyedameri, M., & Imanpoor, A. (2013). Regression analysis of the relationship between knowledge management components and human resource performance. Journal of Sport Management, 4(15), 35-50, (In Persian).
Bahreini, K., & Houshangi, M. (2010). Investigating and analysis the role of quality management in constructing knowledge management value chain in organization. Journal of Management Research, 20(83), 99-120, (In Persian).
Chang, M. Y., Hung, Y. C., Yen, D. C., & Tseng, P. T. (2009). The research on the critical success factors of knowledge management and classification: yuan of taiwan framework project in the executive government. Expert Systems with Applications, 9(12), 5376-5386.
Choi, B., & Lee, H. (2003). An empirical investigation of KM styles and their effect on corporate performance. Information and Management, 4 (5). 403–417.
Cohen, J. F., & Olsen, K. (2015). Knowledge management capabilities and firm Performance: A test of universalistic, contingency and complementarity perspectives. Expert Systems with Applications, 42(3), 1178-1188.
Cronbach, L. J. (1951), Cofficient alpha and the internal structural of tests. Psychomomertrika, 16(3), 297-337.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservables variables and measurement error. Journal of High Technology Management Research,11(1),137-153.
Gefen, D., Straub, D. W., & Boudreau, M. C. (2000). Structural equation modeling and regression: guidelines for research practice. Communication of the Association for Information Systems, 4(1), 1-79.
Ghaderi, S. F., Azadeh, M. A., Mirjalili, M., & Sheikhalishahi, M. (2010). Assessment human resources of banks using DEA and fuzzy DEA approaches. Journal of Industrial Engineering, 44(2), 213-228, (In Persian).
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed). New Jersey: Prentice Hall.
Halawi, L., Aronson, J., & McCarthy, R. (2005). Resource-based view of knowledge management for competitive advantage. The Electronic Journal of Knowledge Management, 3(2), 75-86.
Hayes, A. F. (2009). Beyond baron and kenny: statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408 – 420.
Hosseini, M. H., & Akbari, M. (2014). Designing a knowledge management excellence model based on interpretive structural modeling. Journal of Information Technology Management, 6(3), 351-374, (In Persian).
Huysman, M. (2006). IT to support knowledge sharing in communities: towards a social capital analysis. Journal of Information Technology, 21(3), 40-51.
Lee, M. R., & Lan, Y. C. (2011). Toward a unified knowledge management model for SMEs. Expert Systems with Applications, 38(1), 729-735.
Lee, H,. & Choi, B. (2003). Knowledge management enablers, processes and organizational performance: an integrative view and empirical examination. Journal of Management Information Systems, 20(1), 179-228.
Moss, E., Roussean, D., Parent, S., St-Laurent, D., & Saintonge, J. (1998). Correlates of attachment at school age: maternal reported stress, mother- child interaction, and behavior problems. Child Development, 6 (5), 1390-1405.
Nasr, S. H. (2013). Investigating the relationship between the aspects of knowledge management and employee performance based on Nonaka-Takeuchi model in Esfahan Technical and vocational training organization. Unpublished Master's Thesis, Islamic Azad University Najafabad Branch, Iran, (In Persian).
Patil, S. K,. & Kant, R. (2014). A Hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain. Applied Soft Computing, 18, 126-135.
Ritala, P., Olander, H., Michailova, S., & Husted, K. (2015). Knowledge sharing, knowledge leaking and relative innovation performance: an empirical study. Technovation, 35, 22-31.
Rouzdar, N. (2003). Scrutiny of knowledge management and It`s effect on function of bahman group managers, Tehran. Unpublished Master's Thesis, Islamic Azad University Tehran Branch, Iran, (In Persian).
Ryoo, S. Y., & Kim, K. K. (2015). The impact of knowledge complementarities on supply chain performance through knowledge exchange. Expert Systems with Applications, 42(6), 3029–3040.
Wong, K. Y. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial Management and Data Systems, 105(3), 261-279.
Woolliscroft, P., Caganova, D., Cambal, M., Holecek, J., & Pucikova, L. (2013), Implications for optimisation of the automotive supply chain through knowledge management. Procedia CIRP, 7, 211-216.
Zack, M. H., McKeen, J., & Singh, S. (2009). Knowledge management and organizational performance: an exploratory analysis. Journal of Knowledge Management,13(6), 392–409.
Zaied, A. N. H., Hussein, G. S., & Hassan, M. M. (2012). The role of knowledge management in enhancing organizational performance. Information Engineering and Electronic Business, 4(5), 27-35.
