:::

詳目顯示

回上一頁
題名:整合及運用資料包絡分析法與平衡計分卡對於績效之研究以臺灣地區金控公司為例
作者:張敏彥
作者(外文):Min-Yen Chang
校院名稱:長榮大學
系所名稱:經營管理研究所
指導教授:林財源
邱英祧
學位類別:博士
出版日期:2014
主題關鍵詞:資料包絡分析法平衡計分卡經營績效麥氏生產力Data Envelopment AnalysisBalanced ScorecardOperation PerformanceMalmquist productivity
原始連結:連回原系統網址new window
相關次數:
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:2
摘要
金融控股公司在台灣經濟體系中,扮演穩定台灣經濟的重要角色,讓台灣資金的需求者得以獲得營運資金,發揮有效利用及分配資金之功能,金融控股公司使臺灣整體經濟活動能活絡。運用財務報表的比率分析法是衡量金融控股公司經營效率的傳統方式之一,然而此法只能分析企業單一項投入與單一項產出的比值,不易表達銀行經營能力、更無法顯示資源使用效率更無法顯示每家金控公司相對於整體經營的效率。
本研究整合平衡計分卡與資料包絡分析法的概念,探討臺灣金控公司相對經營效率,進而建立一套客觀、完整的營運績效評估架構,本研究運用CCR、BCC的DEA模式與麥氏指數(MPI)評估台灣地區十四家金控公司2008~2013年經營績效之研究,根據實證結果台灣地區金控公司具有高度整體經營績效的同時也會有高的內部流程構面、顧客構面及財務構面績效,但未必會有高學習與成長構面績效。整體績效有逐年下滑的趨勢,表示在台灣地區的金控公司已出現飽和的狀態,如再有新的金控體系加入,已無法使台灣金融更加活絡,反而會適得其反。
台灣地區金控公司,經交叉效率及麥氏生產力模式分析後華南金控在學習與成長,內部流程及顧客構面表現最優質;玉山金控在平衡計分卡四構面中財務構面表現最好最佳;國泰金控在整體績效中表現最好。台灣地區金控公司管理者可透過本研究檢討資源分配及利用,並運用資料包絡分析法及平衡計分卡所提出的建議,台灣地區金控公司其不應過度擴大規模提升經營績效,應慎選最適方案並卙酌改善空間以達最終追求效益。
Abstract
Financial holding companies contribute greatly to the entire economic activity in Taiwan. The financial ratio analysis method is one of the traditional methods for measuring the operation efficiencies of financial holding companies.
This study applied different DEA models and the Malmquist productivity index (MPI) to assess the operation performance of financial holding companies in Taiwan from 2008-2013. We investigated overall and individual performance and the productivity index. According to the empirical results, Taiwanese financial holding companies with high operation performance simultaneously have high quality performance from the internal process perspective, customer perspective, and financial perspective.
Hua Nan Financial Holding is proven to be the practitioner with the best learning and growth perspective among all financial holding companies in Taiwan by the CEM mode. Hua Nan Financial Holding is the best from the internal processes perspective and the customer perspective. E. Sun Financial Holding is the best from a financial perspective. Cathay Financial Holding is the best in overall performance. This study can serve as a reference for managers of financial holding companies to review the allocation and utilization of resources. Slack variable analysis can provide a reference for whether the companies should merge and the idea that excessive expansion of the scale is not allowed for the purpose of elevating operation performance. The first step is to choose the most appropriate program and to deliberate on the room for improvement with the final purpose of pursuing benefits.
Keywords :Data Envelopment Analysis, Balanced Scorecard, Operation Performance, Malmquist productivity
References
Ali, A. I., Seiford, L. M., & Lerme, C. S. (1995). Components of Efficiency Evaluation in Data Envelopment Analysis. European Journal of Operational Research, 80(2), pp. 259-269.
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, pp. 1261-1264.
Aryanezhad, M. B., Najafi, E., & Farkoosh, S. B. (2011). A BSC-DEA approach to measure the relative efficiency of service industry: A case study of banking sector. International Journal of Industrial Engineering Computations, 2(2), pp. 273-282.
Azadeh, A., Ghaderi, S. F., Mirjalili, M., & Moghaddam, M. (2010). A DEA approach for ranking and optimisation of technical and management efficiency of a large bank based on financial indicators. International Journal of Operational Research, 9 Number 2/2010, pp. 160-187.
Banker, R. D., Chang, H., & Natarajan, R. (2005). Productivity Change, Technical Progress, and Relative Efficiency Change in the Public Accounting Industry. Management Science, 51(2), pp. 291-304.
Banker, R. D., Chang, H., Janakiraman, S. N., & Konstans, C. (2004). A balanced scorecard analysis of performance metrics. European Journal of Operational Research, 154, pp. 423-436.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), pp. 1078-1092.
Basuony, M. A. (2014). The Balanced Scorecard in Large Firms and SMEs: A Critique of the Nature, Value and Application. Accounting and Finance Research, 3, pp. 43-51.
Borgman, R., & Ford, J. (2001). Loan Specialization and Income:An Application of Mixture Analysis. American Business Review, pp. 45-49.
Butler, A., Letza, S. R., & Neale, B. (1997). Linking the Balanced Scorecard to Strategy. International Journal Of Strategic Management, 30(2), pp. 242-253.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity. Econometrica, 50, pp. 1393-1414.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), pp. 429-444.
Chen, T.-Y., & Chen, L.-H. (2007). DEA performance evaluation based on BSC indicators incorporated: The case of semiconductor industry. International Journal of Productivity and Performance Management, 56(4), pp. 335-357.
Chen, T.-Y., Chen, C.-B., & Peng, S.-Y. (2008). Firm operation performance analysis using data envelopment analysis and balanced scorecard: A case study of a credit cooperative bank. International Journal of Productivity and Performance Management, 57, pp. 523-539.
Chow, C.-W., Ganulin, D., Haddad, K., & Williamson, J. (1998). The Balanced Scorecard: A Potent Tool for Energizing and Focusing Healthcare Organization Management. Journal of Healthcare Management, 43(3), pp. 12-23.
Ciuleanu, T. E., Brodowicz, T., Belani, C. P., Kim, J., Krzakowski, M., Laack, E., . . . Zielinski, C. C. (2008). Maintenance pemetrexed plus best supportive care (BSC) versus placebo plus BSC: A phase III study. Journal of Clinical Oncology, 26, pp. 34-51.
Cuesta, R. A., & Orea, L. (2002). Mergers and technical efficiency in Spanish savings banks: A stochastic distance function approach. Journal of Banking and Finance, 26(12), pp. 2231-2247.
Davis, S., & Albright, T. (2004). An investigation of the effect of Balanced Scorecard implementation on financial performance. Management Accounting Research, 15, pp. 135-153.
Drake, L., & Hall, M. J. (2003). Efficiency in Japanese banking: An empirical analysis. Journal of Banking and Finance, 27(5), pp. 891-917.
Eccles, R. G., & Pyburn, P. J. (1992). Creating a Comprehensive System to Measure Performance. Management Accounting, pp. 56-96.
Eilat, H., Golany, B., & Shtub, A. (2006). Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research, 172(3), pp. 1018-1039.
Eilat, H., Golany, B., & Shtub, A. (2008). R&D project evaluation: An integrated DEA and balanced scorecard approach. Omega, 36(5), pp. 895-912.
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120, pp. 253-290.
Fletcher, H. D., & Smith, D. B. (2004). Managing for Value: Developing a Performance Measurement System Integrating Economic Value Added and the Balanced Scorecard in Strategic Planning. Journal of Business Strategies, 21(1), pp. 1-17.
Greatbanks, R., & Tapp, D. (2007). The impact of balanced scorecards in a public sector environment:empirical evidence from Dunedin city council, New Zealand. International Journal of Operations & Production Management, 27, pp. 846-873.
Halkos, G. E., & Tzeremes, N. G. (2013). Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach. Journal of Banking and Finance, 37(5), pp. 1658-1668.
Hanif, N., Ahmad, Z., Farooq, S., & Farid, H. (2013). Balanced Scorecard as a Spontaneous Performance Measurement Tool: A Case of Insurance Companies in Pakistan. Journal of Innovative and Applied Finance, 1, pp. 22-58.
Ho, C. T., & Zhu, D. S. (2004). Performance measurement of Taiwan''s commercial banks. International Journal of Productivity and Performance Management, 53(5), pp. 425-434.
Hsu, K. H. (2005). Using Balance Scorecard and Fuzzy Data Envelopment Analysis for Multinational R&D Project Performance Asseessment. Journal of American Academy of Business, Cambridge, 7(1), pp. 189-196.
Huang, H. C. (2009). Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. Expert Systems with Applications, 36, pp. 209–218.
Hwang, K. C. (2008). Efficency decomposition in two-stage data envelopment analysis:an application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185, pp. 418-429.
Jeng, V., Lai, G. C., & Mcnamara, M. J. (2005). Ownership structure, agency costs, specialization and efficiency: analysis of Keiretsu and independent insurers in Japan nonlife insurance industry. Journal of Risk and Insurance, 72(1), pp. 105-158.
Johnes, J. (2003). Measuring the efficiency of universities: a comparison of multilevel modelling and data envelopment analysis. Lancaster University Management School Working Paper, 082, pp. 75-104.
Kale, S. (2011). Measuring Bank Branch Performance Using Data Envelopment Analysis (DEA): The Case of Turkish Bank Branches. African Journal of Business Management, 5(3), pp. 889-901.
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Boston:Harvard Business Review, pp. 71-79.
Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action. Boston:Harvard Business School Press, pp. 1-311.
Kaplan, R. S., & Norton, D. P. (2001). The Strategy-Focused Organization: How Balanced Scorecard companies Thrive in the New Business Environment. Boston:Harvard Business School Press, pp. 9-17.
Khaki, A. R., Najafi, S. E., & Rashidi, S. (2012). Improving efficiency of decision making units through BSC-DEA technique. Management Science Letters, 2(1), pp. 245-252.
Kuo, C. J., & Lu, S. L. (2005). Taiwan''s financial holding companies: an empirical investigation based on Markov regime-switching model. Applied Economics, 37(5), pp. 593-615.
Lieu, P., Yeh, T., & Chiu, Y. (2005). Off-balance sheet activities and cost inefficiency in Taiwan''s banks. The Service Industries Journal, 25, pp. 925-944.
Lin, L., Kuo, H. C., & Lin, Y. L. (2008). Merger and Optimal Number of Firms? An Integrated Simulation Approach. Applied Economics, 40(18), pp. 2413-2421.
Lo, S., & Lu, W. (2009). An integrated performance evaluation of financial holding companies in Taiwan. European Journal of Operational Research, pp. 341-350.
McPhail, R., Heringtonb, C., & Guilding, C. (2008). Human resource managers'' perceptions of the applications and merit of the balanced scorecard in hotels. International Journal of Hospitality Management, 27, pp. 623-631.
Megginson, W. L. (2005). The economics of bank privatization. Journal of Banking and Finance, 29(8), pp. 1931-1953.
Phadtare, M. T. (2010). Developing Balanced Scorecard: Case of Three Construction Firms of Small Size. Journal of Asia-Pacific Business, pp. 135-157.
Ramanathan, R., & Ramanathan, U. (2011). A performance measurement framework combining DEA and balanced scorecard for the UK health sector. International Journal of Operational Research, 12, pp. 7-25.
Rickards, R. C. (2003). Setting benchmarks and evaluating balanced scorecards with data envelopment analysis. Benchmarking: An International Journal, 10(3), pp. 226-245.
Rickards, R. C. (2007). BSC and benchmark development for an e-commerce SME. Benchmarking: An International Journal, 14(2), pp. 222-250.
Roghanian, E., & Foroghi, A. (2010). An empirical study of Iranian regional airports using robust data envelopment analysis. International Journal of Industrial Engineering Computations, 1, pp. 65-72.
Sadjadi, S. J., & Omrani, E. (2010). A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran. Telecommunications Policy, 34(4), pp. 221-232.
Stauba, R. B., Souzab, G. S., & Tabaka, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), pp. 204-213.
Steward. (1995). Incidence of de-novo breast cancer in women chronically immunosuppressed after organ transplantation. The Lancet, 346(8978), pp. 796-798.
Wang, W. K., Huang, H. C., & University, Y. Z. (2005). Measuring the Relative Efficiency of Commercial Banks: A Comparative Study on Different Ownership Modes in China. Journal of American Academy of Business, 7(2), pp. 219-223.
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, pp. 10135–10147.
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關書籍
 
無相關著作
 
無相關點閱
 
QR Code
QRCODE