بررسی تأثیر اشتراک دانش بر جدایی دانشکاران و خطرپذیری‌های سازمانی آن در سازمان‌های دانش‌محور (نمونه پژوهش: یک سازمان دانش‌محور در حوزه فناوری اطلاعات)

نوع مقاله : مطالعه موردی

نویسندگان

1 کارشناس ارشد مهندسی صنایع، دانشگاه نیشابور، نیشابور، ایران

2 دانشیار، گروه مهندسی صنایع، دانشگاه علم و صنعت ایران، تهران، ایران

3 استاد، گروه مهندسی صنایع، دانشگاه صنعتی قم، قم، ایران

4 کارشناس ارشد مهندسی صنایع، دانشگاه تربیت مدرس، تهران، ایران

چکیده

امروزه، نیروی انسانی دانشی، بیشترین سهم در موفقیت سازمان­های دانش‌محور را دارا است. اشتراک دانش به‌عنوان ‌یکی از مؤثرترین مؤلفه­های مزیت رقابتی این سازمان­ها، می­تواند تهدیدی برای ماندگاری منابع انسانی آن‌ها باشد؛ تهدیدی که خود می­تواند برای سازمان خطرپذیری­های متنوعی را به­همراه داشته باشد. این مطالعه به بررسی تأثیر منفی فرایند اشتراک دانش بر روی جدایی دانشکاران و خطرپذیری­های ایجادشده در برخی شئون سازمان­های دانش‌محور و به­طور خاص در یک سازمان دانش‌بنیان در حوزه فناوری اطلاعات از مجموعه سازمان­های صنایع دفاع، می­پردازد. در این پژوهش، از مدل پژوهشی توصیفی-کاربردی بهره برده شده و روش آن پیمایشی و جامعه هدف آن تعدادی از کارکنان یک سازمان دانش‌محور در حوزه فناوری اطلاعات است. جهت جمع‌آوری داده­ها از طراحی پرسشنامه، نظر خبرگان و جهت بررسی پایایی و روایایی داده­های استخراج‌شده از آزمون­های آلفای کرون باخ، کیزر-میر-الکین، بارتلت و همچنین به‌منظور بررسی فرضیه­های تحقیق از آزمون t، کای­دو و فریدمن استفاده گردیده است. نتایج حاصل‌شده نشان داده است که تأثیرات منفی فرایند اشتراک دانش بر میزان جدایی دانشکاران از سازمان مورد مطالعه ماهیتی حقیقی داشته و می­تواند نقش تأثیرگذاری در جدایی ایشان از سازمان داشته باشد. این موضوع خود منجر به ایجاد خطرپذیری­هایی در سازمان شده که از مهم­ترین آن‌ها می­توان به کاهش بهره­وری و افزایش هزینه­های سازمان اشاره نمود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Study of Knowledge-Sharing Effects on the Separation of Knowledge Employees and Related Risks in Knowledge-Based Organizations (Case Study: An IT Knowledge-Based Organization)

نویسندگان [English]

  • Seidmehdi Hoseini 1
  • Mostafa Jafari 2
  • Peyman Akhavan 3
  • Faeze Darabian 4
1 M.A of Industrial engineering, University of Neyshabur, Neyshabur, Iran
2 Associate Professor, Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
3 Professor, Faculty of Industrial engineering, Qom University of Technology, Qom, Iran
4 M.A of Industrial engineering, Tarbiat Modares University, Tehran, Iran
چکیده [English]

Today, knowledgeable human resources have the greatest role in the success of knowledge-based organizations. Knowledge sharing as one of the most effective components of achieving competitive advantage in these organizations can be a threat to their human resources; a threat that can bring various risks to the organization. This study investigates the undesirable effects of the knowledge sharing process on the level of knowledge staff separation and the risks created. The research hypotheses have been developed from the literature and tested on the data collected through a survey on an IT firm. In this research, a descriptive-applied research model has been utilized and its survey method and its statistical society are employees of a knowledge-based organization. The data has been collected using a designed questionnaire and expert opinion, and the reliability and validity of the extracted data have been evaluated by Cronbach's alpha, Kaiser-Mayer-Olkin, Bartlett tests, and the research hypotheses have been investigated using t-test, Chi-Square and Friedman tests. The results show that the negative effects of the knowledge sharing process on the separation of knowledge employees from the organization under study have a real nature and can play an effective role in their separation from the organization. This issue leads to the creation of risks in the organization, the most important of which to mention, are reduced productivity and increased costs of the organization.

کلیدواژه‌ها [English]

  • Risk
  • knowledge-based organization
  • employee segregation
  • knowledge sharing
  • knowledge employees

مراجع

  •  

    • اخوان، پیمان. باقری، روح اله. (1398) ، مدیریت دانش از ایده تا عمل، انتشارات آتی نگر،.
    • حسینی، سید مهدی. جعفری، مصطفی. اخوان، پیمان (1398). بررسی امکان خطرپذیری فرآیند اشتراک دانش در سازمان­های دانش‌محور(نمونه پژوهشی: یک سازمان دانش‌محور در حوزه فناوری اطلاعات)، نشریه مدیریت راهبردی دانش سازمانی، سال دوم، شماره 7، ، صص1-39.
    • دانش فرد، کرم الله. (1384)، اداره اثربخش سازمان‌های دانایی محور، ماهنامه تدبیر.
    • رهنورد، فرجاله. صدر، فاطمه (1388). رابطه ادراک فرهنگ تسهیم دانش کارکنان با عوامل سازمان در دستگاه­های دولتی، فراسوی مدیریت، سال دوم، شماره 8 ، ص
    • منوریان، عباس و عسگری، ناصر(1383) الزامات آموزش کارکنان دانشی در عصر دانایی محوری، مدیریت تحول، ویژه‌نامه مدیریت، منابع انسانی شماره

    Reference

    • Azeem, Muhammad. Ahmed, Munir. Haider, Sajid. Sajjad, Muhammad. (2021), Expanding competitive advantage through organizational culture, knowledge sharing and organizational innovation, Technology in Society 66.
    • Aljafari, R., Sarnikar, S. (2010). A Risk Assessment Framework for InterOrganizational Knowledge Sharing, Sprouts: Working Papers on Information Systems, 10(29).
    • R.Y., Lang. K.R., (2007), Innovation and product development in the video game industry, Journal of Management Information Systems, 24(2) 195-219.
    • Butt, M.A., Nawaz, F., Hussain, S., Sousa, M.J., Wang, M., Sumbal, M.S. and Shujahat, M. (2019), Individual knowledge management engagement, knowledge-worker productivity, and innovation performance in knowledge-based organizations, The Implications for Knowledge Processes and Knowledge-based Systems, Computational and Mathematical Organization Theory, 25 (3), 336-356.
    • Beazley, H., Boenisch, J. and Harden, D. (2002) Continuity Management Preserving Corporate Knowledge and Productivity When Employees Leave Hoboken, NJ: Wiley.
    • Bontis, N. (1998), Intellectual Capital: An Exploratory Study that Develops Measures and Models, Management Decision 36(2) 63–76.
    • Bayer, Florian, Maier, Ronald. (2006), Knowledge Risks in Inter-Organizational Knowledge Transfer, Proceedings of I-KNOW ’06 Graz, Austria, September 6- 8.
    • Burrow, B.A. s. (2004), A little less swagger at Cisco, Business Week, http://www.businessweek.com.
    • Chase, Rory.L, (1997) The Knowledge‐Based Organization: An International Survey, Journal of Knowledge Management, 1 (1), 38-49.
    • Davenport, T.H., (2005), Thinking for a Living, Harvard Business Press, Boston, MA.
    • Deloitte and Touche., (2008). Retiring workforce, widening skills gap, exodus of ‘critical talent’ threatens companies: deloitte consulting survey.
    • Droege, S. B. and Hoobler, J. M. (2003) ‘Employee Turnover and Tacit Knowledge Diffusion: A Network Perspective’, Journal of Managerial Issues 15(1): 50-61
    • Dickinson, G. (2001) Enterprise Risk Management: Its Origins and Conceptual Foundation, The Geneva Papers on Risk and Insurance,26 (3), 360-366.
    • Dimovski, Vlado, Penger Sandra. (2004), Creating the Knowledge Based Organization Through Learning Implementation Framework: Conceptual Model of Slovenian Enterprises. International Business & Economics Research Journal, 3 (10).
    • Dimovski Vlado, Penger Sandra, (2003), Virtual Management: A Cross Section of the Management Process Illustrating Its Fundamental Functions of Planning, Organizing, Leading and Controlling in a New Era Organization. Littleton, Journal of Business & Economic Research, 1(10), 27-36.
    • Day, G. S. (1994), the capabilities of market-driven organizations, Journal of Marketing, 58 (4). 37–52.
    • Durst, S., Hinteregger, C., and Zieba, M. (2019). The linkage between knowledge risk management and organizational performance. Journal of Business Research, 105(11), 1–10
    • Drucker, P. F. (1999). Knowledge-Worker Productivity: The Biggest Challenge, California Management Review, 41(2): 79-94.
    • Eucker, T.R. (2007), Understanding the impact of tacit knowledge loss, Knowledge Management Review, 10 (1), 10-13.
    • Fang, Yongheng. Liang, Qian. Jia, Zhouping, (2011). Knowledge Sharing Risk Warning of Industry Cluster: An Engineering Perspective, Systems Engineering Procedia (2), 412 – 421.
    • Fekete Farkas, Mária. Gábor Török, L., (2011), knowledge workers, competencies virtuality and management, Polish, Journal of management studies, 4.
    • Gahlawat, N. and Kundu, S.C. (2019), Progressive human resource management and firm performance, empirical evidence from Indian context, International Journal of Organizational Analysis, 27 (3), 471-493.
    • Gensler, (2005), These Four Walls: The Real British Office Gensler, Architect of Ideas. Gensler.
    • Griffeth, R.W., Hom, P.W. and Gaertner, S. (2000), A Meta-analysis of antecedents and correlates of employee turnover: update, moderator tests, and research implications for the next millennium, Journal of Management, 26(3), 463-488.
    • Ghosh, P., Goel, G., Dutta, T. and Singh, R. (2019), Turnover intention among liquid knowledge workers: a study of Indian insurance professionals”, Journal of Global Operations and Strategic Sourcing, Vol. 12 No. 2, pp. 288-309.
    • Garcia-Chas, R., Neira-Fontela, E. and Castro-Casal, C. (2014), High-performance work system and intention to leave: a mediation model, The International Journal of Human Resource Management, 25 (3), 367-389.
    • M., (2009). Satyam’s U.S clients face tough choices, Business Week, http://www.businessweek.com.
    • Heidary Dahooie, J., Ghezel Arsalan, M.R. and Zolghadr Shojai, A., (2018), A valid and applicable measurement method for knowledge worker productivity, International Journal of Productivity and Performance Management, 67 (9), 1764-1791.
    • Jennex, Murray. Eugene, (2014), A proposed method for assessing knowledge loss risk with departing personnel, VINE: The journal of information and knowledge management systems, 44 (2), 185-209.
    • Johnson Dynes, E., S., (2007), Inadvertent disclosure: Information leaks in the extended enterprise, Proceedings of the 6 th Workshop on the Economics of Information Security, Pittsburgh, PA, June 7-8.
    • Kumar, S. A., & Sauresh, N. (2008). Production and operations management (With skill development, Caselets and Cases), New Age International (P) Ltd., Publishers. Second Edition.
    • Kianto, Aino, Shujahat, Muhammad. Hussain, Saddam Nawaz, Faisal. Ali, Murad., (2018), The impact of knowledge management on knowledge worker productivity, Baltic Journal of Management Emerald, 1746-5265.
    • Kogut, B., Zander, U. (1992) Knoweldge of the firm, combinative capabilities, and the replication of technology; Organization Science 3 (3), 383-397.
    • Kianto, A., Shujahat, M., Hussain, S., Nawaz, F. and Ali, M. (2019), The impact of knowledge management on knowledge worker productivity, Baltic Journal of Management, 14 (2), 178-197.
    • -King, A.W. (2007), Disentangling interfirm and intrafirm causal ambiguity: a conceptual model of causal ambiguity and competitive advantage, Academy of Management Review, 32 (1), 156-178.
    • Lakshman, C., Rai, S. and Lakshman, S. (2021), Knowledge sharing, organizational commitment and turnover intention among knowledge workers: a knowledge-based perspective ,Journal of Asia Business Studies, Vol. ahead-of-print No. ahead-of-print.
    • Lakshman, C. (2015), Doing Business in India: A Framework for Strategic Understanding, Elsevier Publishing, New York, NY.
    • Lekhawipat, Watcharee. Wei, yu-huei. Lin, chinho. (2018). how internal attributions affect knowledge sharing behavior, Journal of Knowledge Management, 22 (4), 867-886.
    • Massingham, P., (2008), Measuring the impact of knowledge loss: more than ripples on a pond? Management Learning, 39 (5), 541-560.
    • Marshall, R.S., Nguyen, T., Bryant, S.E., (2005), A dynamic model for trust development and knowledge sharing in strategic alliances, Journal of General Management, 31(1) 41-57.
    • Mohebbi, Maryam, Shakibaeefar Alireza, Alamdari, Ahmad, Alamdari, Meysam, (2013), The Impact of Organizational Factors on Improving Knowledge Workers’ Productivity in Iran, International Journal of Research in Organizational Behavior and Human Resource Management, 1, (3), 13-31.
    • Mentzas, G., Apostolou, D., Young, and R. (2003). Knowledge asset management: Beyond the process-centered and product-centered approaches; Springer, London.
    • Mcdermott, Richard, O’Dell, Carla, (2001) Overcoming cultural barriers to sharing knowledge, Journal of Knowledge Management, 5 (1),.76-85.
    • Nonaka, Ikujiro, Takeuchi, H. (1995), The Knowledge Creating Company. Oxford University Press, Oxford, 72.
    • Nezafati, N., Razaghi, S., Moradi, H., Shokouhyar, S. and Jafari, S. (2021), Promoting knowledge sharing performance in a knowledge management system: do knowledge workers’ behavior patterns matter?, VINE Journal of Information and Knowledge Management Systems, Vol. ahead-of-print No. ahead-of-print.
    • Nguyen, V.T., Siengthai, S., Swierczek, F. and Bamel, U.K. (2019), the effects of organizational culture and commitment on employee innovation: evidence from Vietnam’s IT industry, Journal of Asia Business Studies, 13 (4), 719-742.
    • Osterman, P. (1987), Turnover, Employment Security, and the Performance of the Organization’, in M. Kleiner (ed.) Human Resources and the Performance of the Organization, 275–317.
    • Parise, S., Cross, R. and Davenport, T.H. (2006), Strategies for preventing a knowledge-loss crisis, Sloan Management Review, 47 (4), 31-38.
    • Reinhardt, W., Schmidt, B., Sloep, P. and Drachsler, H., (2011), Knowledge worker roles and actions – results of two empirical studies, Knowledge and Process Management, 18 (3). 150-174.
    • Razzaq, S., Shujahat, M., Hussain, S., Nawaz, F., Wang, M., Ali, M. and Tehseen, S. (2019), Knowledge management, organizational commitment and knowledge-worker performance, Business Process Management Journal, 25 (5).
    • Rahman, M.S., Mat Daud, N., Hassan, H. and Osmangani, A.M. (2016), Effects of workplace spirituality and trust mediated by perceived risk towards knowledge sharing behaviour, VINE Journal of Information and Knowledge Management Systems, 46 (4), 450-468.
    • Raeesi, P., & Moosazadeh, M. (2006). Factors affecting the efficiency of health care in Behshahr. First National Conference on Development and Productivity. Management and Planning Organization, Azarbayejan Sharghi.
    • Stewart, T. A. (1998) Intellectual Capital: The New Wealth of Organizations. London: Brealey.
    • Thomas, K. and Allen, K. (2006), The Learning Organization: A Meta-analysis of Themes in Literature’, The Learning Organization 13(2), 123–39.
    • TBORG, (2012), Knowledge workers, available at: tborg.co.uk.
    • Yigitcanlar, T., Baum, S. and Horton, S. (2007), Attracting and retaining knowledge workers in knowledge cities, Journal of Knowledge Management, 11 (5), 6-17.
    • Yang, J.-T. (2007), The impact of knowledge sharing on organizational learning and effectiveness, Journal of Knowledge Management, 11 (2), 83–90.
    • J., (2005), The War on Leaked Intellectual Property, Computer World, http://www.computerworld.com.
    • Xiao, M. and Nembhard, (2014), Utility-Based Knowledge Work Productivity Assessment, International Journal of Productivity Management and Assessment Technologies,.2(2), 28-46.
مدیریت راهبردی دانش سازمانی
دوره 4، شماره 3 - شماره پیاپی 14
شماره پیاپی 14، فصلنامه پاییز
آذر 1400
صفحه 1-22

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سابقه مقاله

  • تاریخ دریافت: 25 مهر 1400
  • تاریخ بازنگری: 01 آذر 1400
  • تاریخ پذیرش: 30 دی 1400

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