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題名：銀行業資訊系統委外決策之實證研究
作者：王慶玲
作者(外文)：Ching-Ling Wang
校院名稱：國立臺北科技大學
系所名稱：工商管理研究所
指導教授：林鳳儀
學位類別：博士
出版日期：2013
主題關鍵詞：銀行資訊系統委外；ISO-9126 model；模糊層級分析方法；折衷排序法；Banking Information Systems outsourcing；ISO-9126；FAHP；VIKOR
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近兩世紀以來，資訊委外對於企業全球化經營越來越重要，資訊科技不但是銀行日常營運中不可或缺之工具，更是企業強化競爭優勢的關鍵武器，由於銀行資訊系統委外的決策通常涉及金額龐大且需經歷複雜冗長的評估程序，因此資訊系統委外的決策是非常重要又困難的議題。本研究採用ISO-9126 model 及科技─組織─環境架構(Technology–Organization–Environment, TOE)為研究架構，分析銀行業對資訊系統委外的評估觀點及決策衡量因子，研究以應用模糊層級分析方法及折衷排序法評估因子的權重及決策的統計工具，研究所得之結果為: (1).結合資訊系統委外相關文獻、ISO-9126 軟體品質模型及TOE架構，共計得出23個符合銀行資訊系統委外的整體衡量決策要素； (2).研究採用FAHP分析方法經由實務專家評選參與評選以評出各因子之權重，評選得出在決策面向之重要性依序是“企業組織”、“財務考量”、“廠商技術能力”及“環境因子”，在決策影響評量之前五項重要指標是“委外策略”、“專案的複雜度與風險考量”、“銀行財務能力”、“廠商財務能力”及“節省專案成本”；(3).研究結合FAHP分析方法及VIKOR排序法建立資訊系統委外的決策衡量架構及實證分析，提供銀行決策的依據；(4).透過系統性分析提出我國銀行業資訊系統委外的發展共十一項，可作為國內銀行及資訊服務業者在業務發展的參考；(5).銀行對於資訊系統廠商能增強資訊系統委外的效益極其注重，若不能選出理想的委外夥伴，則可能捨棄委外作法改由自行建置系統。研究進一步提出管理觀點: 首先，資訊系統委外的因子並非一套制式的衡量方式，針對不同的企業及不同的委外標的，建議應量身訂作提出適合的評量指標，以符合企業的資訊發展策略，其次是銀行資訊系統委外決策評估可能無法單獨（絕對）性的評量，應用學術統計方法可有效的協助解決各項因子間關聯性的比較，並提出更客觀的評量，最後；由於銀行委外決策與企業本身的資訊委外策略有極大的關聯性，故資訊服務業者必須體認市場之情勢，並加強在各項委外決策指標的能力以提升競爭優勢。
Outsourcing has became a common feature of any modern economy since 1980’s, the process typically referred to the situation when firms expanded their purchases of manufactured physical inputs to external company, where the process is purchased as a service. The decision of Information systems (IS) outsourcing is one of the critical issues for organizations, in particular, Banking is among the top IS spending industries and allocates higher portion on growing and transforming the business versus the industry average. This study applied ISO-9126 software model and Technology-Organization-Environment as measure base. The Fuzzy Analytical Hierarchy Process (FAHP) tool and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) were respectively adopted to rank the factor weighting and evaluate the potential suppliers using twenty three criteria in a realistic case study. Our empirical analysis shows that: (1) after integrating the ISO-9126 model, TOE framework, and the relevant IS outsourcing literatures experts'' opinions, 23 evaluation factors were deemed suitable for a banking IS outsourcing evaluation; (2) by applying the FAHP, the order of relative importance of the four banking IS outsourcing perspectives is “Organization,” “Finance,” “Environment,” and “ Technology.” The top five evaluation factor priorities are “Outsourcing strategy,” “Project complexity and risk concern,”“Internal financial stability,” “External financial stability,” and “Project cost savings”; (3) after calculating the criteria fuzzy weights using the FAHP, we employed the FAHP method to rank the IS supplier selection for a Taiwanese bank; and (4). For bank and information service vendors, our study proposes 11 important features as the reference in their future business development; (5). Bank attaches great importance to vendor shall effectively enhance the effectiveness of information systems in outsourcing projects, they intend to in-house development instead of outsource if couldn’t seek an ideal partner. We make the following suggestions based on our findings. First, the IS outsourcing evaluation factors should be tailored to match the organization’s technological strategy, outsourcing content, and the objectives of each individual unit because there is no “one-size-fits-all” solution. Second, the IS outsourcing evaluation''s perspectives in the banking industry may not be mutually independent. Other analytical methods can be employed to solve for the interactions and feedback among factors, future research may use several other techniques to investigate the causal relationships among the ISO-9126 IS outsourcing evaluation factors and objectively build strategy maps. Finally, because of the great relevance between banking IS outsourcing decisions and organization IT strategy itself, we suggest vendors must recognize that the market situation, strengthening the capability of the outsourcing decision indicators to enhance the competitive advantages.
參考文獻

中文文獻
[1]林俊宏，曾國雄，任維廉，2005. 利用VIKOR 方法解決企業資源規劃系統評選問題，農業與經濟，34，pp. 69-90.new window
[2]林東清、劉勇志、楊怡娟 、陳秀如，2008. 跨組織知識分享模式研究，資訊管理學報，第十三卷，第二期.
[3]范姜群暐，2011. 財金資訊季刊，我國網路金流業務發展概況，No.68.
英文文獻
[4]Abdullah, L.M., Verner, J.M., 2012. Analysis and application of an outsourcing risk framework, The Journal of Systems and Software, 85, pp. 1930– 1952.
[5]Aubert, B.A., Houde, J.-F., Patry, M., Rivard, S., 2012. A multi-level investigation of information technology outsourcing, Journal of Strategic Information Systems 21(3), pp. 233-244.
[6]Baldwin, L.P., Irani, Z., and Love, P.E.D., 2001. Outsourcing information systems: drawing lessons from a banking case study, European Journal of Information Systems, 10(1), pp. 15-24.
[7]Behkamal, B., Kahani, M., Akbari, M.K., 2009. Customizing ISO 9126 quality model for evaluation of B2B applications, Information and Software Technology, 51, pp. 599-609.
[8]Bhagwati, J., Panagariya, A., Srinivasan, T.N., 2004. The Muddles over Outsourcing, Journal of Economic Perspectives, 18(4), pp. 93-114.
[9]Bhattacharya, S., Behara, R.S., and Gundersen, D.E., 2003. Business risk perspectives on information systems outsourcing, International Journal of Accounting Information Systems, 4(1), pp. 75-93.
[10]Bose, R. and Luo, X., 2011. Integrative framework for assessing firms’ potential to undertake Green IT initiatives via virtualization – A theoretical perspective, Information and Software Technology, 20(1), pp. 38-54.
[11]Brown, L. A., 1998. Approval Vendor Selection - What''s Best Practice? 1, Academic Library Association of Ohio Annual Conference, pp. 341–351.
[12]Buckley, J. J., 1985. Fuzzy hierarchical analysis, Fuzzy Sets and Systems, 17(3), pp. 233–247.
[13]Bush, A.A., Amrit Tiwana, Hiroshi Tsuji, 2008. An empirical investigation of the drivers of software outsourcing decisions in Japanese organizations, Information and Software Technology, 50, pp. 499-510.
[14]Chang, T.-H. and Wang, T.-C., 2009. Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management, Information Sciences, 179, pp. 355-370.
[15]Chen, V.Y.C. Lien, H.-P., Liu, C.-H., and Liou, J.J.H., Tzeng, G.-H., and Yang, L.-S., 2011. Fuzzy MCDM approach for selecting the best environment-watershed plan, Applied Soft Computing, 11(1), pp. 265-275.
[16]Chen, Y.-H., Wang, T.-C., Wu, C.-Y., 2011. Strategic decisions using the fuzzy PROMETHEE for IS outsourcing, Expert Systems with Applications, 38, pp. 13216-13222.
[17]Conejero, J.M., Figueiredo, E., Garcia, A., Hernández, J., and Jurado, E. , 2012. On the relationship of concern metrics and requirements maintainability, Information and Software Technology, 54(2), pp. 212-238.
[18]Consoli, D., 2005. Technological cooperation and product substitution in UK retail banking: the case of customer services, Information Economics and Policy, 17, pp. 199-215.
[19]Consoli, D., 2005. The dynamics of technological change in UK retail banking services: An evolutionary perspective, Research Policy, 34, pp. 461-480.
[20]Cortellessa, V., Marinelli, F., and Potena, P., 2008. An optimization framework for “build-or-buy” decisions in software architecture, Computers & Operations Research, 35(10), pp. 3090-3106.
[21]Currie, W.L., Michell, V., Abanishe, O., 2008. Knowledge process outsourcing in financial services: The vendor perspective, European Management Journal, 26(2), pp. 94-104.
[22]DATAMONITOR, 2007. Core system outsourcing in North American Retail Banking (Review Report), DATAMONITOR Reference Code: DMTC1143.
[23]Desharnais, J.-M., Abran, A., and Suryn, W., 2011. Identification and analysis of attributes and base measures within ISO 9126, Software Quality Journal, 19(2), pp. 447-460.
[24]Devlin, J. and Gerrard, P., 2005. A study of customer choice criteria for multiple bank users, Journal of Retailing and Consumer Services, 12(4), pp. 297-306.
[25]Devlin, J. F., 2002. Customer knowledge and choice criteria in retail banking, Journal of Strategic Marketing, 10(4), pp. 273-290.
[26]Ding, J.-F. and Liang, G.-S., 2005. Using fuzzy MCDM to select partners of strategic alliances for liner shipping, Information Sciences, 173(1-3), pp. 197–225.
[27]Dubois, D., and Prade, H., 1978. Operations on fuzzy numbers, International Journal of System Sciences, 9(6), pp. 613–626.
[28]Elitzur, R., Gavious, A., Wensley, A.K.P. , 2012. Information systems outsourcing projects as a double moral hazard problem, Omega, 40(3), pp. 379-389.
[29]Faez, F., Ghodsypour, S.H., O''Brien, C., 2009. Vendor selection and order allocation using an integrated fuzzy case-based reasoning and mathematical programming model, International Journal of Production Economics, 121, pp. 395-408.
[30]Financial Insights, 2008. The Future of Core Banking: Can Any Vendor Deliver It All?, Financial Insights, FIN 213827.
[31]Financial Insights, 2008. “Core Banking in Asia/Pacific: 2007 Deals”, Financial Insights FIN212869.
[32]Financial Insights, 2011. "Worldwide Banking Solutions Market Share Guide, Methodology and Taxonomy, An Overview of CY10 Vendor Revenue", Financial Insights Report, FIN 231561.
[33]Financial Insights, 2011. “Worldwide IT Spending 2010-2015: Worldwide Banking IT Spending Guide 2H11 Update”, Financial Insights Report FIN230758.
[34]Financial Insights, 2011. Asia/Pacific Banking 2012 Top 10 Predictions: Shattering the Myths of 2012, Financial Insights Report FIN 231444.
[35]Financial Insights, 2011. Worldwide Financial Services 2012 Top10 Predictions: Thriving or Just Surviving?, Financial Insights Report FIN 231368.
[36]Financial Insights, 2012. Worldwide Financial Services 2013 Top 10 Predictions: Leveraging Technology Disruptors is path for success, FIN237980, 2012-Dec.
[37]Financial Insights, 2013. Worldwide outsourcing services Top 10 predictions, IDC #238973, Vol. 1.
[38]Gartner, 2011. Market Insight: A Banking Industry Primer, Gather ID Number: G00215781.
[39]Gartner, 2012. Market Insight: A Banking Industry Primer, Gather ID Number: G00227872.
[40]Gartner, 2012. CIOs Should Beware of a Return to Full Outsourcing，Gartner: G00226701.
[41]Goddard, J., Molyneux, P., Wilson, J.O.S., and Tavakoli, M., 2007. European banking: An overview, Journal of Banking & Finance, 31(7), pp. 1911-1935.
[42]Ho, C.C., 2012. Construct factor evaluation model of Health Management Center selected by customers with Fuzzy Analytic Hierarchy Process, Expert Systems with Applications, 39, pp. 954–959.
[43]Ho, W., Ting He, Carman Ka Man Lee, Ali Emrouznejad, 2012. Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach, Expert Systems with Applications, 39, pp. 10841–10850.
[44]Holzinger, A., Searle, G., Wernbacher, M., 2011. The effect of previous exposure to technology on acceptance and its importance in usability and accessibility engineering, Universal Access in the Information Society, 10 (3) , pp. 245-260.
[45]Hung-Yi Wu, Gwo-Hshiung Tzeng, Yi-Hsuan Chen, 2009. A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard, Expert Systems with Applications, 36, pp. 10135-10147.
[46]IDC, 2011. Worldwide and U.S IS Outsourcing Services 2011-2015 IT Outsourcing and Utility Services: Forecast Update，IDC #231417, Volume: 1.
[47]IDC, 2011. Worldwide and U.S IS Outsourcing Service 2012-2016 Forcast, IDC #231417.
[48]IDC, 2012. Worldwide Outsourcing Services 2012 TOP Predications, IDC #232602, Volume: 1.
[49]IDC, 2012. IDC’s Worldwide Services Taxonomy, IDC #233468, Volume: 1, Worldwide Services: Industry Developments and Models.
[50]IDC, 2013. Worldwide outsourcing services Top 10 predictions, IDC #238973, Vol. 1.
[51]Klir, G. J., and Yuan, B., 1995. Fuzzy set and fuzzy logic theory and application. Prentice-Hall International Inc.
[52]Kulak, O., Kahraman, C., 2005. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process, Information Sciences, 170(2-4), pp. 191-210.
[53]Kumar, M., Vrat, P., and Shankar, R., 2006. A fuzzy programming approach for vendor selection problem in a supply chain, International Journal of Production Economics, 101(2), pp. 273-285.
[54]Leung, M.K., Chan, R.Y. K., 2006. Are foreign banks sure winners in post-WTO China?, Business Horizons, 49(3), pp. 221-234.
[55]Lin, H.-F. and Lin, S.-M., 2008. Determinants of e-business diffusion: A test of the technology diffusion perspective, Technovation, 28, pp. 135-145.new window
[56]Llewellyn, D.T., 1999. The New Economics of Banking. SUERF, Amsterdam.
[57]McCarthy, I., Anagnostou, A., 2004.The impact of outsourcing on the transaction costs and boundaries of manufacturing, Int. J. Production Economics, 88(1), pp. 61–71.
[58]Metin, D. and Yüksel, İ., 2008. Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management, Information Sciences, 178(6), pp. 1717-1733.
[59]Moschuris, S. J., 2008. Organizational participants in the make-or-buy process, Industrial Marketing Management, 37(2), pp. 143-153.
[60]Nazari-Shirkouhi, S., Ansarinejad, A., Miri-Nargesi, S., Dalfard, V.M., and Rezaie, K., 2011. Information Systems outsourcing Decisions under Fuzzy Group decision making approach”, International Journal of Information Technology and Decision Making, 10 (6) , pp. 989-1022.
[61]Paksoy, T., Pehlivan, N.Y., Kahraman, C., 2012. Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS , Expert Systems with Applications, 39(3), pp. 2822-2841.
[62]Saaty, T. L., 1977. A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15, pp. 234–281.
[63]Saaty, T. L., 1980. The Analytic Hierarchy Process, McGraw-Hill, New York.
[64]Saaty, T. L. and Forman, E. H., 1993. The Hierarchon: A Dictionary of Hierarchies, The Analytic Hierarchy Process Series, 5, pp. 1-510.
[65]Shen, Z., Liao, H. and Weyman-Jones, T., 2009. Cost efficiency analysis in banking industries of ten Asian countries and regions, Journal of Chinese Economic and Business Studies, 7, pp. 199-218.
[66]Simon, Herbert A. , 1960. The new science of management decision. The Ford distinguished lectures, New York, NY, US: Harper & Brothers, . 3, pp. 14-20.
[67]Soares-Aguiar, A. and Palma-dos-Reis, A., 2008. Why Do Firms Adopt E-Procurement Systems? Using Logistic Regression to Empirically Test a Conceptual Model, IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 55, pp. 120-133.
[68]Su. N. and Levina, N., 2011. Global Multisourcing Strategy: Integrating Learning From Manufacturing Into IT Service Outsourcing, IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 58, pp. 717-728.
[69]Sucky, E., 2007. A model for dynamic strategic vendor selection, Computers & Operations Research, 34, pp. 3638- 3651.
[70]Tiryaki, F. and Ahlatcioglu, B., 2009. Fuzzy portfolio selection using fuzzy analytic hierarchy process, Information Sciences, 179, pp. 53-69.
[71]Trienekens, J.J.M., Kusters, R.J., and Brussel, D.C., 2010. Quality specification and metrication, results from a case-study in a mission-critical software domain, Software Quality Journal, 18(4), pp. 469-490.
[72]Tseng, T. Y., and Klein, C. M., 1989. New algorithm for the ranking procedure in fuzzy decision making. IEEE Transaction on Systems, Man and Cybernetics, 19, pp. 1289–1296.
[73]Wadhwa, V., Ravindran, A. R., 2007. Vendor selection in outsourcing, Computers & Operations Research, 34(12), pp. 3725-3737.
[74]Wang, C. and Lin, F., 2012. A study on the willingness and capability for core information system transformation in the bank, Africa Journal of Business Management, 6 (20), pp. 6123-6136.
[75]Wu, H. –Y., Tzeng, G. –H., Chen, Y. –H., 2009. A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard, Expert Systems with Applications, 36(6), pp. 10135-10147.
[76]Yang, D. –H., Kim, S., Nam, C., Min, J. –W., 2007. Developing a decision model for business process outsourcing, Computers & Operations Research, 34, pp. 376-3778.
[77]Yang, J.L., Chiu, H.N., Tzeng, G.-H., and Yeh, R.H., 2008. Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships, Information Sciences, 178(21), pp. 4166–4183.
[78]Yalcin, N., Bayrakdaroglu, A., and Kahraman, C., 2012. Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries, Expert Systems with Applications, 39(1), pp. 350-364.
[79]Zadeh, L., 1965. Fuzzy sets, Information and Control, 8(3), pp. 338–353.
[80]Zadeh, L., 1975. The concept of a linguistic variable and its application to approximate reasoning I, Information Science, 8(3), pp. 199–249.
[81]Zhang, H., 2008. Core System Renewal at the Bank of Shanghai: A Case Study, Oliver Wyman.
[82]Zhu, Y., Li, Y., Wang, W., Chen, J., 2010. What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry, International Journal of Information Management, 30, pp. 265-276.
[83]Zimmerman, H. J., 1991. Fuzzy set theory and its application, Boston: Kluwer Academic Publishers.
網路參考資訊
[84]萬泰銀行網站:重大訊息， 2012年 2月15日，取自https://www.cosmosbank.com.tw/T00PG/L03/L0301/L030102/L030102.jsp?Years=100
[85]中信銀行網站，2007年年報，2012年 2月11日，取自https://www.chinatrust.com.tw/tw/html/miscellaneous/Reports/AR_Y96_ch.pdf
[86]永豐銀行網站，2009年年報， 2012年 2月15日，取自(http://www.banksinopac.com.tw/bsp/investor/qr_pdf/09r-q3.pdf)
[87]銀行局網站，全球資訊網:新巴塞爾資本協定，2012年 1月15日， http://www.banking.gov.tw/ch/home.jsp?id=275&parentpath=0,8,107
[88]銀行局網站，金融統計─基本金融資料，2013年 3月2日，取自http://www.banking.gov.tw/ch/home.jsp?id=157&parentpath=0,4&mcustomize=bstatistics_view.jsp&serno=201105120009
[89]銀行局網站，全球資訊網:兩岸金融，2013年3月2日，取自http://www.banking.gov.tw/ch/home.jsp?id=110&parentpath=0,8
[90]銀行局網站，全球資訊網:金融統計/本國銀行排名表，2013年4月20日，取自http://www.banking.gov.tw/ch/home.jsp?id=157&parentpath=0,4&mcustomize=bstatistics_view.jsp&serno=201105120009
[91]MIC, 台灣金融業趨勢應用分析, 2011年12月11，取自http://mic.iii.org.tw/aisp/pressroom/press01_pop.asp?sno=251&type1=2
[92]開放時代通訊社，金融自動化年鑑八十七年版
[93]金融聯合徵信中心，2003. 台 灣 金 融 產 業 提 升 競 爭 力 改 革 — 銀 行 業 演講者：曾局長國烈，www.jcic.org.tw/publish/030703.doc.
[94]IThome, 2006. 金融業IT委外的4個關鍵，2012年 2月15日，取自http://www.ithome.com.tw/itadm/article.php?c=39273&s=1,
iThome Online 2006-09-11
[95]中央銀行網站，新聞參考資料─委外作業之風險管理， 2012年 2月15日，取自www.cbc.gov.tw
[96]玉山銀行網站，，2012年 2月1日，取自http://www.esunbank.com.tw/about/bank_born.info
[97]臺灣證券交易所，2012年 3月15日，取自 http://www.twse.com.tw/ch/listed/IFRS/about.php
[98]IBM網站，商業價值研究院:《消費性電子產業研究報告》：可攜式設備將帶動未來成長，2012年 3月15日，取自http://www.ibm.com/news/tw/zh/2011/12/13/l312908l93011i51.html
[100] IBM網站，全球行銷長報告：資料爆炸名列全球行銷長首要挑戰，2012年 2月5日，取自http://www.ibm.com/news/tw/zh/2011/12/01/k170022s35390c91.html
[101] IBM網站，IT 創世紀:智慧運算新紀元，2012年 3月8日，取自http://www.ibm.com/news/tw/zh/2012/03/06/p367002i03648c82.html
[102] IBM網站，Study: Cloud Computing to Rewrite Corporate Business Models，2012年 3月15日，取自http://www-03.ibm.com/press/us/en/pressrelease/37043.wss
[103] 經濟部網站，兩岸經濟架構協議網站，2012年 2月7日，取自http://www.ecfa.org.tw/ShowNews.aspx?id=414&year=all&pid=&cid=, 2012/02/07ttp://www.ecfa.org.tw/ShowNews.aspx?id=414&year=all&pid=&cid=
[104] 經濟學人網站，2012年 3月15日，取自http://www.economist.com/node/21552901
[105] 研考會，2012. 雙月刊第36卷第2期


 
 
 
 
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