近年來，為了因應經濟成長跟科技發展，政府透過高等教育機構的擴充來提高人民的教育水平，所以高等教育的經營模式已經從早期的「精英型」教育轉變為「普及式」的教育。雖然高等教育機構的數目大幅增加，然而整體的教育經費並沒有隨之相對的成長，齊頭式的分配方式會稀釋教育資源而影響競爭力，為了讓教育資源能夠更有效的使用以及提升國家競爭力，政府鼓勵各高等教育機構能夠提升辦學績效、發展特色以及追求卓越，故各高等教育機構無不面臨來自於政府以及社會的壓力，而必須追求好的辦學績效以及卓越的學術表現，以吸引更多優秀的學者跟學子和更充裕的教育經費挹注。
本研究結合策略發展利器-「平衡計分卡」和決策支援工具-「商業智慧」，針對高等教育環境開發一個學術績效管理系統，系統包含「平衡計分卡模組」、「關鍵績效指標模組」和「績效報告模組」，並透過「模糊理論」來處理質性指標的評定，最後透過商業智慧的流程，將績效指標產生的數據資料轉化為具有策略參考價值的知識，讓組織在競爭的環境中達成目標，而取得持久性的競爭優勢。

Recently, the government increased the number of higher education institutions to cope with changes in economic and technology. The type of the higher education had been changed from elite education to mass education. Although the number of higher education institutions increased, the education budget did not rise. If the budget was shared equally, the resource of education would be diluted. In order to improve the efficiency of resource usage and national competitive strength, the government encouraged higher education institutions to improve performance and developed distinguishing characteristic. Because higher education institutes faced the pressure from government and society, they must pursue the goal of high academic performance to get more budgets and to attract more outstanding scholars and students.
The research combined Balanced Scorecard (BSC) and Business Intelligence (BI) to design an academic performance management system for higher education environment. The system included balanced scorecard module, key performance indicators module and performance report module. It used fuzzy theory to process the evaluation of qualitative indicators. Finally, the process was transferred the data of indicators score into valuable knowledge by the BI method. The higher education institutions would achieve the goal and got continuous superiority through above processes.

中文文獻

尹相志(2009)。SQL Server 2008 OLAP多維度分析。台北市：精誠資訊。
林俊彥、林宜玄、郭宗賢、郭彥谷(2006)。以平衡計分卡與策略地圖探討高等教育學 校經營與領導的新挑戰。學校行政雙月刊，43，34-52。
教育部（2005）。發展國際一流大學及頂尖研究計劃。取自：
http://www.edu.tw/files/list/B0039/附件-1發展國際一流大學及頂尖研究中.pdf

英文文獻

Ariyachandra, T. R., & Frolick, M. N. (2008). Critical Success Factors in Business Performance Management-Striving for Success. Inf. Sys. Manag., 25(2), 113-120.
Berler, A., Pavlopoulos, S., & Koutsouris, D. (2005). Using key performance indicators as knowledge-management tools at a regional health-care authority level. IEEE Transactions on Information Technology in Biomedicine, 9(2), 184-192.
Biere, M. (2003). Business intelligence for the enterprise: IBM Press.
Chen, S., Hwang, C., Beckmann, M., & Krelle, W. (1992). Fuzzy multiple attribute decision making: methods and applications: Springer-Verlag New York, Inc. Secaucus, NJ, USA.
Chen, S., Yang, C., & Shiau, J. (2006). The application of balanced scorecard in the performance evaluation of higher education. The TQM Magazine, 18(2), 190-205.
Dong, W., & Wong, F. (1987). Fuzzy weighted averages and implementation of the extension principle. Fuzzy Sets and Systems, 21(2), 183-199.
Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. International Journal of Systems Science, 9(6), 613-626.
Turban, E., Aronson, J. E., Liang, T.P., & Sharda, R. (2006). Decision Support and Business Intelligence Systems (8ed.). Upper Saddle River, NJ: Prentice Hall.
Frolick, M. N., & Ariyachandra, T. R. (2006). BUSINESS PERFORMANCE MANAGEMENT: ONE TRUTH. Information Systems Management, 23(1), 41-48.
Greene, R. (1996). Business intelligence and espionage: Dow Jones-Irwin.
Hamid, S., Leen, Y., Pei, S., & Ijab, M. (2008). Using e-Balanced Scorecard in Managing the Performance and Excellence of Academicians. PACIS 2008 Proceedings, 256.
Inmon, W. H. (2005). Building the Data Warehouse (4 ed.). New York: Wiley.
Kaplan, R. S., & Norton, D. P. (2004). Measuring the strategic readiness of intangible assets. Harvard Business Review, 82(2), 52-63.
Kaplan, R. S., & Norton, D. P. (2000). Having trouble with your strategy? Then map it. Harvard Business Review, 78(5), 167-276.
Kaplan, R. S., & Norton, D. P. (1996a). The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press.
Kaplan, R. S., & Norton, D. P. (1996b). Using the Balanced scorecard as a strategic management system. Harvard Business Review, 74(1), 75-85.
Kaplan, R. S., & Norton, D. P. (2004). Strategy Maps: Converting Intangible Assets into Tangible Outcomes. Harvard Business School Press
Kaplan, R. S., & Norton, D. P. (2006). Alignment : using the balanced scorecard to create corporate synergies. Harvard Business School Press.
Lee, D., & Park, D. (1997). An efficient algorithm for fuzzy weighted average. Fuzzy Sets and Systems, 87(1), 39-45.
Lin, C., & Hsieh, P. J. (2004). A fuzzy decision support system for strategic portfolio management. Decision Support Systems, 38(3), 383-398.
Lin, C., Tan, B., & Hsieh, P. (2005). Application of the Fuzzy Weighted Average in Strategic Portfolio Management. Decision Sciences, 36(3), 489-511.
Pineno, & Charles, J. (2007). The Business School Strategy: Continuous Improvement by Implementing the Balanced ScoreCard. Research in Higher Education Journal, 1, 68-77.
Rouibah, K., & Ould-ali, S. (2002). PUZZLE: a concept and prototype for linking business intelligence to business strategy. Journal of Strategic Information Systems, 11(2), 133-152.
Sell, D., Cabral, L., Motta, E., Domingue, J., & Pacheco, R. (2005). Adding Semantics to Business Intelligence. Processings of the 16th International Workshop on Database and Expert Systems Applications.
Storey, A. (2002). Performance Management in Schools: could the Balanced Scorecard help? School Leadership and Management, 22(3), 321-338.
Tseng, M. L. (2010). Implementation and performance evaluation using the fuzzy network balanced scorecard. Computers & Education, 55, 188-201.
Vitt, E., Luckevich, M., & Misner, S. (2002). Business Intelligence: Making better decisions faster: Microsoft Press.
Yager, R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information sciences, 24(2), 143-161.
Yu, M., Hamid, S., Ijab, M., & Soo, H. (2009). The e-balanced scorecard (e-BSC) for measuring academic staff performance excellence. Higher Education, 57(6), 813-828.
Zadeh, L. (1965). Fuzzy sets*. Information and control, 8(3), 338-353.
Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information sciences, 8(3), 199-249.