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  • 學位論文

影響企業導入商業智慧系統之成功因素

Factors Influencing Business Intelligence System Implementation Success in the Enterprises

指導教授 : 洪新原
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摘要


企業在面臨高度競爭及全球化市場變遷,藉由商業智慧系統的導入進而提升決策品質及即時洞察力,以利企業的永續經營及確保其競爭優勢。由於目前國內相關研究大多為個案研究居多,缺少針對企業導入商業智慧系統成功之因素進行研究。本研究主要以科技-組織-環境架構的組織特性、環境特性、科技特性為基礎,探討影響中小企業導入商業智慧系統的關鍵成功因素。本研究回收的有效樣本為148份。研究結果發現顯著影響「組織使用滿意」為組織規模、高階主管支持、知識整合、顧問專業能力、教育訓練及相對優勢;顯著影響「組織影響」為高階主管支持及組織規模;顯著影響「系統效果」為產業競爭、顧問專業能力與相容性。最後,本研究並提出學術與實務上之建議,提供利害關係人參考。

並列摘要


To cope with the globalization and competition, enterprises applying business intelligence system (BIS) to obtain real-time information, improve decision quality and enhance competitive advantage. The study aims to investigate factors influencing BIS implementation success in the enterprises. We developed the research model based on Technology-Organizational-Environmental (TOE) framework. A survey was conducted and questionnaires were distributed to respondents with experience of BIS use. Finally, 148 usable responses were received. The results showed that: (1) User satisfaction is significantly influenced by 6 factors, including firm size, top management support, knowledge integration, expertise of consultants, training, and relative advantage; (2) Organizational impact is significantly influenced by 2 factors, including top management support and firm size; (3) System effectiveness is significantly influenced by 3 factors, including competitive pressure, expertise of consultants, and compatibility. Finally, this study also provides the recommendation for the academics and practitioners.

參考文獻


21. Gilad B. and Gilad T.,(1998) The Business Intelligence System.New York: American Management Association,.
51. Post, Gerald V., and Anderson, David L.(2000),”Management Information Systems”, McGraw-Hill Companies Inc.
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3. Ariyachandra, T., & Watson, H. (2006). Which data warehouse architecture is most successful? Business Intelligence Journal, 11(1).
4. Barbara H. Wixom; Hugh J. Watson (2001), "An Empirical Investigation of The Factors Affecting Data Warehousing Success," MIS Quarterly, 25(1), pp17-41.

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