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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳鴻基(Houn-Gee Chen) | |
dc.contributor.author | Po-Chen Hsu | en |
dc.contributor.author | 許博丞 | zh_TW |
dc.date.accessioned | 2021-06-15T16:27:50Z | - |
dc.date.available | 2020-08-16 | |
dc.date.copyright | 2015-08-16 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-14 | |
dc.identifier.citation | 中文部分:
余民寧 (民91)。教育測驗與評量:成就測驗與教學評量。台北:心理。 楊世瑩 (民97)。SPSS 統計分析實務。台北:旗標。 吳明隆 (民103)。SPSS 與統計應用分析。台北:五南。 英文部分: Anastasi, A. (1968). Psychologic Testing. New York, NY : MacMillan Bendoly, E., Citurs, A., & Konsynski, B. (2007). Internal infrastructural impacts on RFID perceptions and commitment: knowledge, operational procedures, and information‐processing standards. Decision Sciences, 38(3), 423-449. Bradford, M., Florin, J. (2003) .Examining The Role of Innovation Diffusion Factors on The Implementation Success of Enterprise Resource Planning Systems. International Journal of Accounting Information Systems. 4(3), 205-225. Bingi, P., Sharma, M. K., & Godla, J. K. (1999). Critical issues affecting an ERP implementation. IS Management, 16(3), 7-14. Clarke III, I. (2001). Emerging value propositions for m-commerce. Journal of Business Strategies, 18(2), 133. Cody, W. F., Kreulen, J. T., Krishna, V., & Spangler, W. S. (2002). The integration of business intelligence and knowledge management. IBM systems journal, 41(4), 697-713. Cragg, P. B., & King, M. (1993). Small-firm computing: motivators and inhibitors. MIS quarterly, 47-60. Cognizant Institute (2012), Don’t Get SMACked: How Social, Mobile, Analytics and Cloud Technologies are Reshaping the Enterprise. Retrieved from http://www.cognizant.com/InsightsWhitepapers/dont-get-smacked.pdf Dyer, L., & Reeves, T. (1995). Human resource strategies and firm performance: what do we know and where do we need to go?. International Journal of human resource management, 6(3), 656-670. Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of eBusiness technologies on operational performance: the role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199-1216. DeVellis, R. F. (2012). Scale development: Theory and applications (Vol. 26). Sage publications. Fraser, M., & Dutta, S. (2008). Throwing sheep in the boardroom: How online social networking will transform your life, work and world. John Wiley & Sons. Gartner Institute (2014), The Nexus of Forces: Social, Mobile, Cloud and Information. Retrieved from http://www.gartner.com/technology/research/nexus-of-forces/ Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: an empirical study of small and medium US businesses. Information & management, 42(1), 197-216. Hadjimanolis, A. (2000). An investigation of innovation antecedents in small firms in the context of a small developing country. R&D Management, 30(3), 235-246. Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organizations: adoption and impact of technology. MIS quarterly, 465-485. IBM Institute (2013). The Big Data & Analytics Hub. New York, NY. IBM Institute (2014). Raising the game : The IBM Business Tech Trends Study. Retrieved from http://www.ibm.com/smarterplanet/us/en/centerforappliedinsights/article/biztechtrends.html Jin, B. (2006). Performance implications of information technology implementation in an apparel supply chain. Supply Chain Management: An International Journal, 11(4), 309-316. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36. KPMG (2013). The SMAC Code. Embracing new technologies for future business Retrieved from https://www.kpmg.com/IN/en/IssuesAndInsights/ArticlesPublications/Documents/The-SMAC-code-Embracing-new-technologies-for-future-business.pdf Lebas, M. J. (1995). Performance measurement and performance management. International journal of production economics, 41(1), 23-35. Li, G., Yang, H., Sun, L., & Sohal, A. S. (2009). The impact of IT implementation on supply chain integration and performance. International Journal of Production Economics, 120(1), 125-138. Looi, H. C. (2005). E-commerce adoption in Brunei Darussalam: a quantitative analysis of factors influencing its adoption. Communications of the Association for Information Systems, 15(1), 3. Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial management & data systems, 111(7), 1006-1023. Madu, C. N., Kuei, C. H., & Jacob, R. A. (1996). An empirical assessment of the influence of quality dimensions on organizational performance. International journal of production research, 34(7), 1943-1962. Malladi, S. (2013). Adoption of Business Intelligence & Analytics in Organizations–an Empirical Study of Antecedents, 19th American Conference on Information Systems (AMCIS), Chicago, Illinois. Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt. Moss, L. T., & Atre, S. (2003). Business intelligence roadmap: the complete project lifecycle for decision-support applications. Addison-Wesley Professional. NIST, The NIST Definitoon of cloud computing v15, NIST, Editor. 2009, National Institute of Standards and Technology: Gaithersburg, MD (2009). Nunnally, J. C. (1978). Psychometric theory. New York, NY: McGraw-Hill. Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497-510. Olszak, C. M., & Ziemba, E. (2003). Business Intelligence as a Key to Management of an Enterprise. Informing Science Institute, Informing Science+Information Technology Education, Pori, Finland Picoto, W. N., Bélanger, F., & Palma-dos-Reis, A. (2014). An organizational perspective on m-business: usage factors and value determination. European Journal of Information Systems, 23(5), 571-592. Pierce, J. L., & Delbecq, A. L. (1977). Organization structure, individual attitudes and innovation. Academy of management review, 2(1), 27-37. Porter, M. E., & Millar, V. E. (1985). How information gives you competitive advantage. Harvard Business Review, 85, 149-160. Poon, P., & Wagner, C. (2001). Critical success factors revisited: success and failure cases of information systems for senior executives. Decision Support Systems, 30(4), 393-418. PwC (2015). The connected workforce is talking SMAC. Are you ready?. Retrieved from http://www.pwc.com/en_US/us/people-management/publications/assets/connected-workforce.pdf Raina, K., & Harsh, A. (2001). Mcommerce Security. McGraw-Hill Professional. Robbins, S. P. (1990). Organization Theory: Structures, Designs, And Applications, 3/e. Pearson Education India Rogers, E. M. (1962). Difiusion of innovations. New York: Free Press, 1/e Rogers, E. M. (1983). Difiusion of innovations. New York: Free Press, 18(20), 271. Siau, K., Lim, E., & Shen, Z. (2001). Mobile commerce: promises, challenges, and research agenda. Journal of Database management, 12(3), 4 Teo, T. S., Ranganathan, C., & Dhaliwal, J. (2006). Key dimensions of inhibitors for the deployment of web-based business-to-business electronic commerce. Engineering Management, IEEE Transactions on, 53(3), 395-411. Turban, E., Bolloju, N., & Liang, T. P. (2011). Enterprise social networking: Opportunities, adoption, and risk mitigation. Journal of Organizational Computing and Electronic Commerce, 21(3), 202-220. Tornatzky, L., & Fleischer, M. (1990).The process of technology innovation. Lexington, M.A: Lexington Books. Venkatesh, V. (2006). Where To Go From here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making. Decision Sciences, 37(4), 497–518 Varshney, U., & Vetter, R. (2001). A framework for the emerging mobile commerce applications. In System Sciences, 2001. 34th Annual Hawaii International Conference on (pp. 10-pp). IEEE. Weber, Y., & Pliskin, N. (1996). The effects of information systems integration and organizational culture on a firm's effectiveness. Information & Management, 30(2), 81-90. Wu, F., Mahajan, V., & Balasubramanian, S. (2003). An analysis of e-business adoption and its impact on business performance. Journal of the Academy of Marketing Science, 31(4), 425-447. Xue, Y., Liang, H., & Boulton, W. R. (2008). Information technology governance in information technology investment decision processes: The impact of investment characteristics, external environment, and internal context. MIS Quarterly, 67-96. Zhu, K., Kraemer, K., & Xu, S. (2003). Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. European Journal of Information Systems, 12(4), 251-268. Zhu, K., & Kraemer, K. L. (2005). Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information systems research, 16(1), 61-84. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52792 | - |
dc.description.abstract | 資訊科技的發展速度日益增快,國內外的研究機構,分別指出未來的科技架構將朝向CAMS(Cloud, Analytics, Mobile, Social)發展。CAMS作為一個萌芽中的科技趨勢,我們自然想瞭解是哪些原因會使企業使用CAMS應用,以及對不同層面企業預期效益的影響。
本研究分為兩個部分,首先是以TOE架構三個構面(科技、組織、環境)中的變數,探討企業對於採行CAMS應用認知的因素,並將其定義為「CAMS概念化實現」。第二部分則是探討CAMS概念化實現後對於預期效益的看法。然而CAMS做為四項科技的結合,本研究故加入整合觀點,將CAMS整合後的效果定義為「CAMS耦合效應」,探討CAMS的整合對於效益的影響,並探討整合後是否能產生綜效。 本研究的對象為台灣前五百大企業之總經理,一共回收122份有效問卷並進行迴歸分析。研究結果顯示「組織準備度」、「高階主管支持」與「競爭壓力」對於CAMS概念化實現有顯著的影響。另一方面,研究結果也顯示CAMS耦合效應對於CAMS效益會有更強的影響,代表整合是影響CAMS效益的關鍵,也就是企業在採行CAMS應用時必須要思考四項科技間的整合議題。 | zh_TW |
dc.description.abstract | With the rapid development of information and communication technology, the Web applications have been further advanced into a new era in which information can now be exchanged across any virtual and physical boundary in a manner of any time and places. The merging of media and social network has also equipped the enterprise with new business opportunities and challenges. The emerging of service-oriented concept and co-created value proposition open up a new blue ocean for innovation and collaboration. Although rooting at different perspectives with unique feature, the development path on each of C (Cloud), A (Analytics), M (Mobile), S (Social media) has blurred the boundary on their interfaces. As such, enterprise is looking for proper strategy and managing scheme to capitalize the opportunity which CAMS incurs.
This study aims at examining the factors affecting enterprise CAMS deployment. In particular, a construct “CAMS Concept Realization” is proposed to mediate the intervening and extraneous factors on the CAMS deployment. In addition, the construct “coupling effect” is also applied to define an integrative indicator of the portfolio of CAMS deployment. Questionnaire survey study was conducted. The informants are the CEOs of top 500 companies in Taiwan. Among them, 122 valid returned were collected and analyzed. The results indicate that “top management support”, “organization readiness” and “competitive pressure” all significantly affect the CAMS Concept Realization. The impacts of coupling effect on CAMS deployment are also significant. It means that the corporate will gain more benefits if they explore more on the synergy effect in their CAMS deployment. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T16:27:50Z (GMT). No. of bitstreams: 1 ntu-104-R02725049-1.pdf: 3554778 bytes, checksum: 62bb1bec1ee136e72803e9f8703d47d0 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 目錄 v
圖目錄 vii 表目錄 viii 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究流程 5 第二章 文獻探討 6 第一節 C、A、M、S之定義 6 第二節 組織採用資訊科技文獻探討 10 第三節 創新決策過程 14 第四節 創新採用者的類型 16 第五節 採行資訊科技之效益 17 第三章 研究方法 19 第一節 研究架構 19 第二節 變數定義與衡量 24 第三節 研究假設 33 第四節 研究對象 35 第五節 資料收集方式 36 第六節 資料分析方法 36 第四章 資料分析與研究結果 37 第一結 基本資料分析 37 第二節 效度分析 40 第三節 信度分析 48 第四節 假說檢定 49 第五章 結論與建議 57 第一節 研究結論 57 第二節 管理意涵與研究貢獻 60 第三節 研究限制與後續研究建議 62 參考文獻 63 附錄:問卷 67 | |
dc.language.iso | zh-TW | |
dc.title | 企業導入整合雲端應用系統意圖之關鍵因素探討:CAMS為例 | zh_TW |
dc.title | A Study on Critical Factors of an Integrated Information System Intention: CAMS | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 江俊毅(James J. Jiang),朱宇倩(Yu-Qian Zhu) | |
dc.subject.keyword | 雲端運算,智慧分析,行動商務,社群應用,科技採用,CAMS,耦合效應, | zh_TW |
dc.subject.keyword | Cloud,Analytics,Mobile,Social,Technology adoption,CAMS,Coupling effect, | en |
dc.relation.page | 76 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-08-14 | |
dc.contributor.author-college | 管理學院 | zh_TW |
dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
顯示於系所單位: | 資訊管理學系 |
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