专注论文查重修改6年+经验

探讨知识流失及知识留存机制对于资讯部门吸收能力及绩效之影响

【中文摘要】:组织知识为帮助企

文懂论文网,论文查重最佳选择,立即论文查重,马上防止抄袭,提高论文品质

业维持竞争优势及提升绩效的重要资产,因此知识管理渐渐受到企业重视。然而,许多企业在知识管理系统或策略上投资成本与人力却不见成效,依旧面临组织知识流失的难题,进而影响工作绩效。过去以知识流失(Knowledge Loss)为主题的研究多以案例分析说明知识流失对组织生产力及绩效产生的冲击,但目前尚未有研究以实证方式提供较全面的验证结果,且知识流失与组织绩效之间的关係是否还存有中间变数的影响也尚未釐清。
组织资讯部门员工流动率高,知识流失的情况可能更加严重,且处于快速发展、变动的科技环境,快速吸收及应用新知识的能力将是影响部门绩效的关键因素。本研究以资源基础理论、动态能力理论及过去关于知识流失的研究为基础,分析知识流失子构面为个人知识(IS Personnel Skill)流失、内部关係(Internal Partnership)流失及外部关係(External Partnership)流失,进一步建立研究模型并以问卷调查法说明组织资讯部门知识流失对其吸收能力及绩效之影响,并检测人力资源管理实务及资讯系统应用对于知识留存之效用。
本研究收集191份有效问卷,填答者为台湾本地任职于企业资讯部门的员工。研究结果显示组织资讯部门知识流失对其吸收能力流失有显着的影响,且部门绩效将会随着吸收

szwox.com_199
能力的流失而降低。此外,在知识留存策略方面,资讯系统的应用能够有效减缓资讯部门知识流失。而与过去研究的主张不同,本研究中虽然人力资源管理实务与知识流失呈现负相关,但却未达显着水準。以上研究成果在学术上提供对于知识流失更深入的观点与未来可进一步探讨的议题,在实务上也可作为企业实施知识管理策略的参考。
【英文摘要】:Knowledge management is an important issue for organizations since knowledge is the source of competitive advantages and excellent performance, but the investment in knowledge management isn’t necessary effective in retaining knowledge. Previous studies focusing on knowledge loss conducted case studies stating its impacts on organizational performance. However, few studies provide empirical evidence and whether the effect of knowledge loss on performance is direct or indirect is not clarified.
In this study, survey method is conducted

专业的事,找专业的人降低重复率就找文懂论文网,专业降低重复率5年经验

to examine the influences of knowledge loss in MIS departments because the high turnover rate of technical employees and the rapid changes in technical environment may worsen the situation. Besides, according to dynamic capability theory, absorptive capacity is critical for employees facing turbulent and dynamic environment. Thus, we assert that knowledge loss impacts MIS departments’ performance via its impacts on absorptive capacity. Knowledge retention in human resource management and information system application are also included in the research model to examine their effectiveness in mitigating knowledge loss.
Hypotheses are tested with the data collected from 191 MIS employees in firms in Taiwan. The results indicate that knowledge loss impacts on MIS departments’ absorptive capacity and consequently on performance, and information systems could mitigate knowledge loss while human resource management practice is negatively but not significantly related to knowledge loss. The results provide more understanding of knowledge loss and potential issues for academics, and for practitioners, this study could serve as the reference for designing and adopting knowledge management mechanisms.
【参考文献】:

  • Aggestam, L., Söderström, E., & Persson, A. (2010). Seven types of knowledge loss in the knowledge capture process. The 18th European Conference on Information Systems Proceedings, Pretoria, South Africa.
  • Aiman-Smith, L., Bergey, P., Cantwell, A., & Doran, M. (2006). The coming knowledge and capability shortage. Research Technology Management, 49(4), 15-23.
  • Alavi, M., & Leidner, D. E. (2001). Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
  • Alexander, J. A., Bloom, J. R., & Nuchols, B. A. (1994). Nursing turnover and hospital efficiency: an organization-level analysis. Industrial Relations, 33(4), 505-520.
  • Angell, L. C., Belkhodja O., & Daghfou A. (2013). Understanding and managing knowledge loss. Journal of Knowledge Management, 17(5), 639-660.
  • Beckett, A.J., Wainwright, E.R.C., & Bance, D. (2000). Knowledge management: strategy or software? Management Decision, 38(9), 601-606.
  • Bontis, N. (1998). Intellectual capital: an exploratory study that develops measures and models. Management Decision, 36(2), 63-76.
  • Capelli, P. (2000). A market-driven approach to retaining talent. Harvard Business Review, 78(1), 103-113.
  • Cepeda, G., & Vera, D. (2007). Dynamic capabilities and operational capabilities: a knowledge management perspective. Journal of Business Research, 60, 426-437.
  • Chang, C. L. (2009). The study of the turnover of MIS professionals—the gap between Taiwanese and US societies. International Journal of Information Management, 30(4), 301–314.
  • Chin, W. W., Gopal, A., & Salisbury, W.D. (1997). Advancing the theory of adaptive structuration: the development of a scale to measure faithfulness of appropriation. Information System Research, 8(4), 342-367.
  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.
  • De Long, D. W., & Davenport, T. (2003). Better practices for retaining organizational knowledge: lessons from the leading edge. Employment Relations Today, 30(3), 51–63. doi: 10.1002/ert.10098
  • De Long, D.W., & Fahey, L. (2000). Diagnosing cultural barriers to knowledge management. Academy of Management Executive, 14(4), 113-127. doi:10.5465/AME.2000.3979820
  • De Pablos, P. O. (2002). Evidence of intellectual capital measurement from Asia, Europe and the Middle East. Journal of Intellectual Capital, 3(3), 287-302.
  • Dess, G. G., & Shaw, J. D. (2001). Voluntary turnover, social capital, and organization performance. Academy of Management Review, 26, 496-524.
  • Droege, S. B., & Hoobler, J. M. (2003). Employee turnover and tacit knowledge diffusion: a network perspective. Journal of Managerial Issues, 15(1), 50–61.
  • Drucker, P. (1993). Post-Capitalist Society. New York: Butterworth-Heinemann.
  • Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: what are they? Strategic Management Journal, 21(10/11), 1105-1121.
  • Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Grant, R.M. (1997). The knowledge-based view of the firm: implications for management practice. Long Range Planning, 30(3), 450-454.
  • Hair, J. F., Ringle, C. M., & Sarstedt M. (2011). PLS-SEM: indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151.
  • Harris, S.E., & Katz, J. L. (1989). Predicting organizational performance using information technology managerial cost ratios. System Sciences, 4, 197-204. doi: 10.1109/HICSS.1989.48122
  • Henderson, J., & Lee, S. (1992). Managing I/S design teams: a control theories perspective. Management Science, 38(6), 757–777.
  • Henderson, J, C. (1998). Involvement as a predictor of performance in I/S planning and design. Working Paper, No 175, Center for Information Systems Research Massachusetts Institute of Technology, Cambridge, MA.
  • Hofer-Alfeis, J. (2008). Knowledge management solutions for the leaving expert issue. Journal of Knowledge Management, 12(4), 44–54.
  • Igbaria, M., & Greenhaus, J.H. (1992). Determinants of MIS employees’ turnover intentions: a structural equation model. Communications of the ACM, 35(2), 35‐49.
  • Jarvis, C.B., MacKenzie, S.B., & Podsakoff, P.M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199-218.
  • Levy, M. (2011). Knowledge retention: minimizing organizational business loss. Journal of Knowledge Management, 14(4), 582-600.
  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.
  • Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research. Management Science 52(12), 1865-1883.
  • Martins, E. C., & Meyer, H. W. J. (2012). Organizational and behavioral factors that influence knowledge retention. Journal of Knowledge Management, 16(1), 77–96.
  • Massingham, P. (2008). Measuring the impact of knowledge loss: more than ripples on a pond? Management Learning, 39, 541-560.
  • Mata, F. J., Fuerst, W. L., & Barney, J. B. (1995). Information technology and sustained competitive advantage: a resource-based analysis. MIS Quarterly, 19(4), 487-505.
  • McLean, L. D. (2004). A review and a critique of Nonaka and Takeuchi‘s theory of organizational knowledge creation. Retrieved from http://www.mcleanglobal.com
  • Milton, N. (2008). Exploring the concept of organizational learning. Knowledge Management Review, 11(4), 8-13.
  • Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company. New York: Oxford University Press.
  • Norman, P. M. (2004). Knowledge acquisition, knowledge loss, and satisfaction in high technology alliances. Journal of Business Research, 57(6), 610–619.
  • Osterman, P. (1987). Turnover, employment security, and the performance of the organization. In Kleiner, M. (Ed.), Human Resources and the Performance of the Organization, 275–317. Champaign, IL: Industrial Relations Research Association.
  • Parker, Hamieda. (2012). Knowledge acquisition and leakage in inter-firm relationships involving new technology-based firms. Management Decision 50(9), 1618-1633.
  • Pavlou, P. A., & El Sawy, O. A. (2006). From IT leveraging competence to competitive advantage in turbulent environments: the case of new product development. Information Systems Research 17, 198–227.
  • Pennings, J. M., Lee, K., & Witteloostuijn A. V. (1998). Human capital, social capital, and firm dissolution. Academy of Management Journal, 41(4), 425-440. doi:10.2307/257082
  • Perrott, B.E. (2007). A strategic risk approach to knowledge management. Business Horizons, 50(6), 523-533.
  • Podsakoff, P. M., MacKenzie S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
  • Ravichandran, T., & Rai, A. (2000). Quality management in systems development: an organizational system perspective. MIS Quarterly, 24(3), 381-416.
  • Ravinchandran, T. T., & Lertwongsatien, C. (2005). Effect of information systems resources and capabilities on firm performance: a resource-based perspective. Journal of Management Information Systems, 21(4), 237-276.
  • Rockart, J. R., & Short, J. (1989). IT in the 1990s: managing organizational interdependence. Sloan Management Review, 30(2), 7-17.
  • Ross, J. W., Beath, C., & Goodhue, D. L. (1996). Develop long-term competitiveness through it assets. Sloan Management Review, 38(1), 31-42.
  • Schiuma, G. (2012). Managing knowledge for business performance improvement. Journal of Knowledge Management, 16, 515-22.
  • Shaw, J. D., Delery, J. E., Jenkins, G. D., Jr., & Gupta, N. (1998). An organizational-level analysis of voluntary and involuntary turnover. Academy of Management Journal 41,511-525.
  • Snell, S. A., & Dean, J. W. (1992). Integrated manufacturing and human resources management: a human capital perspective. Academy of Management Journal, 35, 467–504.
  • Steward, T., & Ruckdeschel, C. (1998). Intellectual capital: the new wealth of organizations. Performance Improvement, 37(7), 56-59.
  • Subramaniam, M., & Youndt, M. A. (2005). The influence of intellectual capital on the types of innovative capabilities. Academy of Management Journal, 48, 450-463.
  • Teece, D., Pisano, G., & Shuen, A. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), 509–533.
  • Toten, Mike. (2005). Is there an optimal level of employee turnover? [WorkplaceInfo]. Retrieved from http://www.workplaceinfo.com.au/human-resources-
  • management/hr-strategy/is-there-an-optimal-level-of-employee-turnover
  • Tsai, W., & Ghoshal, S. (1998). Social capital and value creation: the role of intrafirm networks. Academy Of Management Journal, 41(4), 464-476. doi:10.2307/257085
  • Venkatesh, V., Thong, J. Y.L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171-180.
  • Wiig, K.M. (1997). Knowledge management: an introduction and perspective. The Journal of Knowledge Management, 1(1), 6-14.
  • Wong, K.Y., & Aspinwall, E. (2005). An empirical study of the important factors for knowledge-management adoption in the SME sector. Journal of Knowledge Management, 9(3), 64-82.
  • Youndt, M. A., & Snell, S. A. (2004). Human Resource Configurations, Intellectual Capital, and Organisational Performance. Journal of Managerial Issues 16(3), 337–60.
  • Zenger, T. R., Lawrence B. S. (1989). Organizational demography: the differential effects of age and tenure distributions technical communication. Academy of Management Journal, 32, 353-376.
  • 来源:中山大学;作者:蔡汶芩
    文懂论文-重复率修改第一品牌,http://www.szwox.com解决论文查重论文降重复,重复率高等各种论文难题的专家

    最新文章

    • 什么是学术不端行为
      什么是学术不端行为
      什么是学术不端行为 1992 年,由美国国家科学院、国家工程院和国家医学研究院组成的 22 位...
    • 论文降重复服务 1. 本网站及服务 szwox.com提供哪些服务? szwox.com是一个...

    联络我们

    QQ: 767326772
    文懂论文
    网站:http://www.szwox.com/
    E-mail: turuinit@foxmail.com

    我们的服务

    我们提供毕业论文、期刊论文、硕士论文、博士论文、会议论文格式排版,论文查重,重复率修改等服务。强大论文查重系统,一手老师资源,首创安全保密查重修改流程。充分保障客户论文查重安全以及修改后的品质,赢得了老师和同学们的信任和口碑。