تعامل استراتژی و رهبری با مدیریت دانش در بانکداری الکترونیکی

نوع مقاله : پژوهشی

نویسندگان

1 کارشناس ارشد، دانشگاه قم

2 استادیار، دانشگاه قم.

چکیده

     مدیریت دانش می‌تواند به­‌عنوان یک عامل متفاوت در محیط تجارت الکترونیک عمل نماید و به افراد در پذیرش راحت‌تر و سریع‌تر نقش‌ها و مسئولیت‌های جدیدشان در محیط تجارت الکترونیکی کمک نماید. پیاده‌سازی مدیریت دانش موفق مستلزم شناخت و بررسی عوامل کلیدی مدیریت دانش و اقدام عملی بر مبنای عوامل شناخته شده است. که مطمئناً این امر موجب به‌کارگیری صحیح‌تر دانش و دستیابی به مزیت رقابتی در بانکداری الکترونیک خواهد گردید. از این­‌رو، در این پژوهش که در دستة تحقیقات توصیفی ـ پیمایشی جای می‌گیرد بر تأثیر شاخصِ استراتژی و رهبری مدیریت دانش در بانکداری الکترونیکی تمرکز نموده‌ایم؛ و به‌­منظور انجام این پژوهش بانک ملت استان قم را به‌­عنوان جامعة آماری برگزیدیم و برای اولویت­‌بندی شاخص‌ها از روش تحلیل سلسله­‌مراتبی فازی بهره جسته‌ایم؛ و نتایج حاصل حاکی از آن است که 3 معیار اصلی پژوهش "حمایت مدیریت ارشد، استراتژی مدیریت دانش و استراتژی سازمانی" به‌­ترتیب دارای بالاترین اهمیت می‌باشند.

کلیدواژه‌ها


عنوان مقاله [English]

Strategy and Leadership Interaction with Knowledge Management in E-Banking

نویسندگان [English]

  • Haniyeh Hooshmand 1
  • Amir Afsar 2
1 M.A. in Information Technology Engineering, Qom University, Iran
2 Assistant Professor, Qom University, Iran.
چکیده [English]

Knowledge management can act as a different element in
E-commerce environment, and help people to accept their new roles and responsibilities easier and faster in e-commerce environment. Successful implementation of knowledge management requires an analysis of the key factors of knowledge management, viable action based on known element. This matter causes better and precise usage of knowledge and achieving beneficial competition in E-banking. Hence, in this study includes descriptive-analytical, we have focused on impact of knowledge management strategies and leadership factor in E-banking, Mellat bank of Qom was chosen to work on this project practically. And for prioritization of criteria is used fuzzy analytic hierarchy method. The results indicate that the three main criteria of "top management support, knowledge management strategy and organizational strategy", respectively, are of paramount importance.

کلیدواژه‌ها [English]

  • Key Success Factors
  • Knowledge Management
  • Strategy and Leadership
  • Electronic Banking
  • Fuzzy Analytic Hierarchy Process
 
1. Ajmal, M., & Helo, P. (2010). Organisational Culture and Knowledge Management: An Empirical Study in Finnish Project-Based Companies. Innovation and Learning, 7(3), 331-344.
2. Ajmal, M., Helo, P., & Keka le, T. (2010). Critical Factors for Knowledge Management in Project Business. Knowledge Management, 14 (1), 156-168.
3. Akhavan, P., & Jafari, M. (2006). Critical Issues for Knowledge Management Implementation at a National Level. Information and Knowledge Management Systems, 36(1), 52-66.
4. Akhavan, P., Adalati, M. S., Sharifi-Yazdi, S., & Hosnavi, R. (2010). The Challenges of Knowledge Management Portals Application and Implementation: An Iranian Organizations Case Study. Industrial Engineering Computations, 1, 79-93.
5. Akhavan, P., Hosnavi, R., & Adalati, M. S. (2010). Essential Issues in Knowledge Management System Implementation: Lessons from Iranian It-Based Companies. Social Responsibility, Professional Ethics, and Management Proceedings of the 11th International Conference Ankara.
6. Akhavan, P., Jafari, M., & Fathian, M. (2006). Critical Success Factors Of Knowledge Management Systems: A Multi-Case Analysis. European Business Review, 18(2), 97-113.
7. Alazmi, M., & Zairi, M. (2003). Knowledge Management Critical Success Factors. Total Quality Management and Business Excellence, 14(2), 199-204.
8. Allameh, M., Zare, M., & Davoodi, M. R. (2011). Examining the Impact of KM Enablers on Knowledge Management Processes. Procedia Computer Science, 3, 1211–1223.
9. Al-Mabrouk, K. (2006). Critical Success Factors Affecting Knowledge Management Adoption: A Review of the Literature. Innovations in Information Technology, 1-6.
10. American productivity and Quality Center (APQC). (1996). Knowledge Management Consortium Benchmark Study. (Final Report), 39-56. Available in http://www.store.apqc.org/reports/Summary/know-mng.pdf [Accessed April 3rd, 2000]
11. APQC. (1999). Knowledge Management: Executive Summary. Consortium Benchmarking Study Best Practice Report, American Productivity and Quality Center, available at www.apac.org, accessed 10 October 2003.
12. Asgari, A. Af., Abdul Hamid, A. B., Ab Rahman, N. M. N., & Asgari, A. (2012). The Role of Knowledge Management’s KSF in the Malaysian E-Business Environment. Advanced In Modern Management, 1(1), 11-16.
13. Asoh, D.A., Belardo, S., & Crnkovic, J. (2007). Assessing Knowledge Management: Refining and Cross Validating the Knowledge Management Index Using SEM Techniques. Knowledge management, 3(2), 1-30.
14. Azma, F., & Mostafapour, M. A. (2011). Identify Knowledge Management and Organizational Learning Indicators and Its Relation With Creativity. Procedia - Social and Behavioral Sciences, 30, 2249 – 2252.
15. Bhatt, G.D. (2000). Organising Knowledge in the Knowledge Development Cycle.  Knowledge Management, 4(1), 15–26.
16. Bhatti, W. A., Zaheer, A., & Ur Rehman, K. (2011). The Effect of Knowledge Management Practices on Organizational Performance: A Conceptual Study. Business Management 5(7), 2847-2853.
17. Bojan, S., & Yvonilde, D. (2008). The Use of Data Envelopment Analysis for Technology Selection. Computers and Industrial Engineering. 54(1), 66-76.
18. Borousan, E., Hajiabolhasani, A., & Hojabri, R. (2012). Evaluating Factors That Cause Problem in Implementation of Knowledge Management in Iran’s Oil and Gas Industry. Business Management, 6 (34), 9589-9596.
19. Çakir, E., Tozan, H., & Vayvay, O. (2009). A Method for Selecting Third Party Logistic Service Provider Using Fuzzy AHP. Naval Science and Engineering, 5(3), 38-54.
20. Chan Ede, M. Y., & Mohamed, S. (2011). Mapping Relationships among the Enablers of Knowledge Management With in Hong Kong Construction Organisations. Procedia Engineering, 14, 1938-1944.
21. Choi, Y.S. (2000). An Empirical Study of Factors Affecting Successful Implementation of Knowledge Management. Unpublished Academic Dissertation, Nebraska University.
22. Chong Siong, C., Wong K. Y., & Binshan, Lin. (2006). Criteria for Measuring KM Performance Outcomes in Organisations. Industrial Management and Data Systems, 106(7), 917-936.
23. Chong, C. W., Choy, C. S., & Wong, K.Y. (2009). Is The Malaysian Telecommunication Industry Ready For Knowledge Management Implementation?.  Knowledge Management, 13(1), 69-87.
24. Chong, S. C. (2006). KM Critical Success Factors: A Comparison of Perceived Importance Versus Implementation In Malaysian ICT Companies. The Learning Organization, 13(3), 230-256.
25. Chong, S. C., & Choi, Y. (2005). Critical Factors in the Successful Implementation of Knowledge Management. Knowledge Management Practice, 6, http://www.tlainc.com/articl90.htm.
26. Chourides, P., Longbottom, D., & Murphy, W. (2003). Excellence in Knowledge Management: an Empirical Study to Identify Critical Factors and Performance Measures. Measuring BusinessExcellence, 7(2), 29-45.
27. Danesh, Y., Saremi Rad, N., Nejad Mobasher, S., & Danesh, M. M. (2012). The Investigation of Mutual Relations of Success Factors of Knowledge Management in Project-Centered Organizations. Basic and Applied Scientific Research. 2(4), 3888-3896.
28. Daniel, E. (1999). Provision of Electronic Banking in the UK and the Republic of Ireland. Bank Marketing, 17(2), 72-82.
29. Daniel, R. (1961). Management Information Crisis. Harvard Business Review, 39(5), 111-121.
30. Darroch, J. (2003). Developing a Measure of Knowledge Management Behaviors and Practices. Knowledge Management, 7(5), 41-54.
31. Davenport, T., De Long, D., & Beers, M. (1998). Successful Knowledge Management Projects. Sloan Management Review, 39(2), 43–57.
32. Diana Leon, R., Lupu, A., & Codruta Manolache, A. (2011). Knowledge Management Tools for the European Knowledge Based Society. CES Working Papers, 3(4), 537-555.
33. Du Plessis, M. (2007). Knowledge Management: What Makes Complex Implementations Successful?. Knowledge Management, 11(2), 91-101.
34. Fazli, S., & Alishahi, A. (2012). Investigating the Relationships between Organizational Factors (Culture, Structure, Strategy) and Performance through Knowledge Management. Scientific Research, 44, 116-130.
35. Floh, A., & Treiblmaier, H. (2006). What Keeps The E-Banking Customer Loyal? A Multigroup Analysis of the Moderating Role of Consumer Characteristics on E-Loyalty in the Financial Service Industry. Electronic Commerce Research, 7(2), 97-110.
36. Geisler, E., & Wickramasinghe, N. (2008). Epistemetrics: Conceptual Domain and Metrics of Knowledge Management. Innovation and Learning, 5(4), 443–455.
37. Gholampourrad, M. (2003). Investigating The Relationship Between Organizational Strategy, Structure and Culture With Customer Oriented Approach In Border and Non-Border Units Of International Department Of Mellat Bank Of Iran. Tehran University, Iran.
38. Giannakoudi, S. (1999). Internet Banking: The Digital Voyage of Banking and Money in Cyberspace. Information and communications Technology Law, 8(3), 205-243.
39. Greiner, M. E., Böhmann, T., & Krcmar, H. (2007). A Strategy for Knowledge Management. Knowledge management, 11(6), 3-15.
40. Gumus, A.T. (2009). Evaluation of Hazardous Waste Transportation Firms by Using a Two Step Fuzzy-AHP and TOPSIS Methodology. Expert Systems with Applications, 36(2), 4067–4074.
41. Hariharan, A. (2005). Implementing Seven KM Enablers at Bharti. Knowledge Management Review, 8(3), 8-9.
42. Hasanali, F. (2002). Critical Success Factors of Knowledge Management. Available at: www. kmadvantage.com/docs/km_articles/Critical_Success_Factors_of_KM.pdf.
43. Holsapple, C. W., & Joshi, K. D. (2000). An Investigation of Factors That Influence the Management of Knowledge in Organizations. Strategic information systems, 9(2/3), 235-261. www.science direct.com.
44. Hung, Y.C., Huang, S.M., Lin, Q.P., & Tsai, M.L. (2005). Critical Factors in Adopting a Knowledge Management System for the Pharmaceutical Industry. Industrial Management andData Systems, 105(2), 164–183.
45. Jennex, M. E. (2004). Knowledge Management Strategy: Critical Issues. E-Business and Knowledge Management, 1(1), 35-44.
46. Jennex, M.E., & Olfman, L. (2000). Development Recommendations for Knowledge Management/ Organizational Memory Systems. Information Systems Development Conference.
47. Jennex, M.E., Olfman, L., & Addo, T.B.A. (2003). The Need for an Organizational Knowledge Management Strategy. Proceedings of the 36th Hawaii International Conference on System Sciences.
48. Kabir, G., & Sumi, R.S. (2010). An Ontology-Based Intelligent System with AHP to Support Supplier Selection. Science and Technology, 17(3), 249-257.
49. Kabir, G., & Hasin, M. A. A. (2011). Comparative Analysis of AHP and Fuzzy AHP Models for Multicriteria Inventory Classification. Fuzzy Logic Systems (IJFLS), 1(1), 1-16.
50. Karabag, A. (2010). Critical Barrier and Success Factors for Implementing Knowledge Management in Organisations. CEMS Doctoral Seminar, 1-17.
51. Khatibian, N., Hasangholoipour, T., & Abedi Jafari, H. (2010). Measurement of Knowledge Management Maturity Level Within Organizations. Business Strategy Series, 11(1), 54-70.
52. Khosroanjom, D., Ahmadzade, M., Kiani Mavi, R., & Bagherzade Hushmandi, K. (2012). Evaluating Data Security by Fuzzy Analytic Hierarchy Process: Comparison between Database Management Systems. Scientific Research. 47, 5-16.
53. Knapp, E.M. (1998). Knowledge Management. Business and Economic Review, 44(4), 3-7.
54. Laith, A.Y.A-H., & Shahizan, H. (2012). Critical Success Factors of Knowledge Management, Innovation and Organisational Performance: An Empirical Study of the Iraqi Mobile Telecommunication Sector. Economics, Finance and Management Sciences, 4 (1), 31-49.
55. Lakshman, C. (2007). Organizational Knowledge Leadership: A Grounded Theory Approach. Leadership & Organization Development, 28(1), 51-75.
56. Lee, A.H.I., Chen, W-C., & Chang, C-J. C. (2008). A Fuzzy AHP and BSC Approach for Evaluating Performance of IT Department in the Manufacturing Industry in Taiwan. Expert Systems with Applications, 34(1), 96-107.
57. Lin, C-M., & Wei, C-C. (2005). Establishing the Key Performance Indicators of Knowledge Management. The Computer, the Internet and Management, 13(2), 67-87.
58. Massey, A.P., Montoya-Weiss, M.M., & Holcom, K., (2001). Reengineering the Customer Relationship: Leveraging Knowledge Assets at IBM. Decision Support System. 32(2), 155-170.
59. Mathew, A.O., Nair G.K., & Rodrigues L.L.R. (2012). Systems Approach to Determine the Significance of the Critical Success Factors of a Knowledge Management System. Management Sciences, 1(1), 28-36.
60. Meliha, H., Amila, L., & Amer, C. (2008). Auditing Knowledge Management Practices: Model and Application. Knowledge Management Research & Practice, 6(1), 90-99.
61. Mercado, L. C. C. (2010). Influence of Critical Success Factors of Knowledge Management on the Innovation Performance of Colombian Organizations. Eighth LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2010).
62. Moohebat, M. R., & Asemi, A. (2010). A Comparative Study of Critical Success Factors (CSFs) in Implementation of ERP in Developed and Developing Countries. Advancements in Computing Technology, 2(5), 99-110.
63. Muralidhar, P., Ravindranath, K., & Srihari, V. (2012). Evaluation of Green Supply Chain Management Strategies Using Fuzzy AHP and TOPSIS. IOSR Journal of Engineering, 2(4), 824-830.
64. Ngai E.W., & Chan E.W.C. (2005). Evaluation of Knowledge Management Tools Using AHP. Expert Systems with Applications, 29(4), 889-899.
65. Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company.Oxford University Press, New York.
66. Ozdagoglu, A., & Ozdagoglu, G. (2007). Comparison of AHP and Fuzzy AHP for the Multicriteria Decision Making Processes with Linguistic Evaluations. Istanbul Ticaret University Journal of Institute of Science, 6(11), 65-85.
67. Park, K. (2006). A Review of the Knowledge Management Model Based on an Empirical Survey of Korean Experts. Kyushu University, Korea.
68. Peslak, A.R. (2008). Organizational Information Systems: Rate of Return and Influencing Variables As Viewed By Top Financial Executives. Industrial Management and Data Systems, 108(1), 43–59.
69. Picker, S., Ruhnke, A., & Leker, J. (2009). Developing Knowledge Management – What Makes The Success?. Technology Management, 45(3), 380-389.
70. Pieris, C., David, L., & William, M. (2003). Excellence in Knowledge Management: An Empirical Study to Identify Critical Factors and Performance Measures. Measuring BusinessExcellence, 7(2), 29-45.
71 Pillania, R.K. (2008). Strategic Issues in Knowledge Management in Small and Medium Enterprises. Knowledge Management Research & Practice, 6(4), 334-338.
72. Polanyi, M. (1962). Personal Knowledge: Towards a Post-Critical Philosophy. Chicago Press University, Chicago.
73. Rahnavard, F., & Mohammadi, A. (2009). Identifying Key Success Factors of Knowledge Management Systems in Schools and Higher Education Centers in Tehran. InformationTechnology Management, 1(3), 37-52.
74. Robbins, S.P., & Coulter, M. (2009). Management. Upper Saddle River, N.J.: Pearson/Prentice Hall.
75. Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
76. Saaty, T.L. (2000). Fundamentals of Decision Making and Priority Theory. 2nd ed. Pittsburgh, PA: RWS Publications.
77. Salimi, E., VahdatZad, V., & Abdi, F. (2012). Key Dimensions to Deploy a Knowledge Management System in an Iranian Firm, a case study. Procedia Technology, 1, 268-274.
78. Saremi Rad, N., & Danesh, Y. (2011). Evaluating the Relationship between Improved Knowledge Management and Operational Performance of the organization. 9th International Management Conference Proceedings, In Tehran, Sanati Sharif University, 1(1), 248-256
79. Shahizan, H., & Laith, A.Y. A-H. (2011). The Relationships among Critical Success Factors of Knowledge Management, Innovation and Organizational Performance: A Conceptual Framework. 2011 International Conference on Management and Artificial Intelligence IPEDR. 6, 94-103.
80. Shaverdi, M., & Barzin, P. (2012). Applying Fuzzy AHP to Determination of Optimum Selection Method for Economic Cocoon Traits Improvement in Silkworm Breeding. Business Systems Review. 1(1), 67-68.
81. Shin, M., Holden, T., & Schmidt, R.A. (2001). From Knowledge Theory to Management Practice: Toward an Integrated Approach. Information Processing and Management, 37(2), 335-355.
82. Sigari Tabrizi, R., Ebrahimib, N., & Al-Marwai, S. A. (2011). On the Comparison of KM Criteria Classifications. Procedia Computer Science, 3, 684-690.
83. Singh, S. K. (2008). Role of Leadership in Knowledge Management: A Study. Knowledge Management, 12(4), 3-15.
84. Skyrme, D., & Amidon, D. (1997). The Knowledge Agenda. KnowledgeManagement, 1 (1), 27–37.
85. Spender, J. C. (1996). Making Knowledge the Basis of a Dynamic Theory of the Firm. StrategicManagement, 17, 45-62.
86. Storey, J., & Barnett, E. (2000). Knowledge Management Initiatives: Learning From Failure. Knowledge Management, 4(2), 145-156.
87. Talebi, B., Pakdel Bonab, M., Zemestani, G., & Moradi, S. (2011). Presenting a Perceptional Model of Effective Factors in the Success of Knowledge Management, KM; in Governmental and Non-Governmental Higher Education Centers and Universities in Iran. Scientific Research, 32, 69-81.
88. Tapscott, D. (2001). Rethinking Strategy in a Networked economy (or why Michael Porter is wrong about the internet. Strategy + Business, 24, 1–8.
89. Tasmin, R., & Woods, P. C. (2008). Linking knowledge management and innovation: A structural equation modeling approach. Innovation and Knowledge Management in Business Globalization: Theory and Practice 10th IBIMA Conference, 558-565.
90. Teresa L. Ju., Li, C-Y., & Lee, T-S. (2006). A contingency model for knowledge management capability and innovation. Industrial Management & Data Systems, 106(6), 855-877.
91. Toloie-Eshlaghy, A., & Akbari-Yusefvand, A. (2011). Identifying & Prioritizing Critical Success Factors (CSFs) in Practicing Knowledge Management in Small & Medium Firms Using Decision Making Techniques. Economics, Finance & Administrative Sciences. 40, 101-116.
92. Valmohammadi, Ch. (2010). Identification and prioritization of critical success factors of knowledge management in Iranian SMEs: An Experts view. Business Management, 4(6), 915-924.
93. Valmohammadi, Ch. (2010). Investigation and assessment of Critical success factors of knowledge management implementation in Iranian Small-to-Medium sized Enterprises. Applied Sciences, 10(19), 2290-2296.
94. Wang, L., Zhang, H., & Zeng, Y-R. (2012). Fuzzy analytic hierarchy process (FAHP) and balanced scorecard approach for evaluating performance of Third-Party Logistics (TPL) enterprises in Chinese context. Business Management, 6(2), 521-529.
95. Wang, T.C., & Chang, T.H. (2007). Forecasting the Probability of Successful Knowledge Management by Consistent Fuzzy Preference Relations. Expert Systems with Applications, 32(3), 801-813.
96. Wei, C. C., Choy, C. S., & Yew, P. H. P. (2009). Is the Malaysian telecommunication industry ready for knowledge management implementation?. Knowledge Management, 13(1), 69-87.
97. 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.
98. Wong, K. Y., & Aspinwall, E. (2005). An empirical study of the important factors for knowledge-management adoption in the SME sector. Knowledge Management, 9(3), 64–82.
99. Wong, K. Y., & Aspinwall, E. (2006). Development of a knowledge management initiative and system: A case study. Expert Systems with Applications, 30(4), 633-641.
100. Yazdani, B., Yaghoubi, N.M., & Hajiabadi, M. (2011). Critical Success Factors for Knowledge Management in Organization: An Empirical Assessment. Humanities and Social Sciences, 3(1), 95-117.
101. Yeh, Y.J., Lai, S.Q., & Ho, C.T. (2006). Knowledge management enablers: a case study. Industrial Management and Data Systems, 106 (6), 793-810.
102. Yu, C-S. (2002). AGP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29, 1969–2001.