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姓名 李孟學(Meng-Hsueh Lee)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 影響雲端採用因子意圖之研究
(The Determinant Factors Of Cloud Service Adoption)
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★ 企業大數據分析能力現況調查之研究★ 雲端運算採用決策影響因素之研究-TOE觀點
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摘要(中) 過往企業需要 IT資源時,都要透過對外採購軟硬體設施以及尋求應用服務供應商 (ASP)的協助,然而企業導入前的評估到實際導入資訊系統所耗費的時間與金錢相當龐大。
而 雲端運算的興起後,其按需求彈性調整的特性,有助於企業根據自身需求調整資源的使用能力,雲端服務供應商 提供的 使用者付費的收費方式,讓企業可以隨時 隨地調整其 欲使用的算力、時間、儲存空間, 也讓企業過往需支付前期大量的 資本支出 ,在採用雲端服務後 轉變為營運支出,企業資金的使用更加靈活。然而,將企業的機敏資訊存放在雲端上的安全疑慮,以及系統的可靠程度,始終是企業採用雲端的障礙。
企業的決策者對於雲端運算所帶來的利益與風險仍未有全面性的認識。故本研究將藉由探討決策者對於企業採用雲端服務的主觀感受,探討何種情境下,決策者會受到內外部因子的影響,並透過感知這些因子,影響決策者採用雲端服務的意圖。
本研究採用線上問卷發放予台灣企業中高階主管,並採用結構方程模型驗證,探討影響雲端採用因子的相關性,以及 這些採用因子如何影響決策者,進而產生雲端採用意圖的過程。
摘要(英) Enterprises either used to purchase soft and hardware devices or ask ASP for help when they needed IT resources. However, it takes too much and costs too much to engaged an enterprise information system. Due to the rising of Cloud Computing, enterprises can make adjustments according to their needs and make it easily to arrange the resources. The suppliers of Cloud Service provide user charge. Customers can arrange their use of computing power, time, storage and so on anytime. This also improve the problem of large expenditure during preceding procedure, saving more money for other uses. Nevertheless, the doubt on putting confidential information on cloud and the reliability of the systems are still the two main obstacles when they deciding whether or not adopting cloud systems. Decision makers in enterprises still don’t have a comprehensive understanding of the pros and cons of cloud systems. Therefore, the purpose of this research was to identify the subjective perceive of decision makers and to probe how factors influence their intension toward using cloud service. In this study, we distributed online questionnaires to Middle and high level supervisor, and adopt SEM model to prove it. The purpose of this study to understand the correlations between different factors of affecting using the cloud, and how these factors influence decision makers to adopt the cloud.
關鍵字(中) ★ 雲端運算
★ 基礎建設即服務
★ 感知風險
★ 感知利益
關鍵字(英) ★ Cloud Computing
★ Perceived Risks
★ Perceived Benefits
論文目次 摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VII
表目錄 VIII
一、緒論 1
1-1 研究背景與動機 1
1-2 研究動機與目的 4
二、文獻回顧 4
2-1 基礎設施即服務 4
2-2 雲端服務特性 5
2-2-1 雲端的外包特性 5
2-2-2按需求彈性的自助服務 6
2-3服務品質 6
2-3-1 服務彈性 7
2-3-2服務可靠性 8
2-3-3服務安全性 8
2-3-4服務可用性 9
2-3-5和諧關係 9
2-4 組織因素 9
2-5 環境因素 10
2-6 風險與利益 11
2-6-1使用雲端的感知風險 12
2-6-2使用雲端的感知利益 13
2-7採用雲端的意圖 13
三、研究模型與假說 14
3-1 研究模型 14
3-2 研究假說 15
3-2-1 雲端的技術特性影響感知風險與利益 15
3-2-2 使用雲端的感知風險利益影響決策者之採用意圖 16
3-2-3 服務品質調節雲端技術特性與感知風險間之關係 17
3-2-4 機構壓力調節感知利益 (風險)與採用意圖間之關係 18
3-2-5 組織因素調節 19
3-3 各變項的操作型定義 20
3-4 研究對象 26
四 、資料分析 26
4-1 資料處理與統計方法 26
4-1-1 資料處理 26
4-1-2 統計分析類別 27
4-2 敘述性統計分析 27
4-3 構面問項信度與效度分析 27
4-4 結構模型效果評估 28
4-5 調節效果分析 28
五、結論與建議 28
5-1研究結果與管理意涵 28
5-1-1 決策者對於風險利益的傾向 29
5-1-2 調節因素所產生之影響 29
5-2未來建議 29
參考文獻 31
參考文獻 英文文獻
Abrahamson, E. (1991). Managerial fads and fashions: The diffusion and rejection of innovations. Academy of management review, 16(3), 586-612. Aguilar, Francis. Scanning the Business Environment. New York: Macmillan. 1967. Ajzen, I. (2002). Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and social psychology review, 6(2), 107-122. Alexander Benlian, Marios Koufaris & Thomas Hess (2011) Service Quality in Software-as-a-Service: Developing the SaaS-Qual Measure and Examining Its Role in Usage Continuance, Journal of Management Information Systems, 28:3, 85-126 Andrew McAfee(2012), What Every CEO Needs to Know About the Cloud,.Harvard Business Review,November 2011 Ansoff, H.L. (1965) ,Corporate Strategy,McGraw-Hill, New York. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., . . . Stoica, I. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58. Attewell, P. (1992). Technology diffusion and organizational learning: The case of business computing. Organization science, 3(1), 1-19. Basaglia, S., Caporarello, L., Magni, M., & Pennarola, F. (2009). Environmental and organizational drivers influencing the adoption of VoIP. Information Systems and E-Business Management, 7(1), 103-118. Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision Support Systems, 52(1), 232-246. doi:10.1016/j.dss.2011.07.007 Benlian, A., Koufaris, M., & Hess, T. (2011). Service quality in software-as-a-service: Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of Management Information Systems, 28(3), 85-126. Brender, N., & Markov, I. (2013). Risk perception and risk management in cloud computing: Results from a case study of Swiss companies. International journal of information management, 33(5), 726-733. Brush, C. G., & Chaganti, R. (1999). Businesses without glamour? An analysis of resources on performance by size and age in small service and retail firms. Journal of business venturing, 14(3), 233-257. Choudhary, V. (2007). Comparison of software quality under perpetual licensing and software as a service. Journal of Management Information Systems, 24(2), 141-165.Davila, A., Gupta, M., & Palmer, R. (2003). Moving procurement systems to the internet:: The adoption and use of e-procurement technology models. European management journal, 21(1), 11-23. Delafrooz, N., Paim, L. H., & Khatibi, A. (2011). Understanding consumer′s internet purchase intention in Malaysia. African Journal of Business Management, 5(7), 2837. Dimmaggio, P., & Powell, W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160. Doering, D. S., & Parayre, R. (2000). Identification and assessment of emerging technologies. Wharton on Managing emerging technologies, GS Day, PJH Schoemaker and RE Gunther, Eds. John Wiley and Sons Inc., Hoboken, New Jersey, 75. Featherman, Mauricio and Pavlou, Paul A., Predicting E-Services Adoption: A Perceived Risk Facets Perspective (November 1, 2002). International Journal of Human-Computer Studies, 59, 4, 451-474, 2002 Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Fornell, C., & Larcker, D. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. journal of Business research, 56(11), 867-875. Gewald, H., & Dibbern, J. (2009). Risks and benefits of business process outsourcing: A study of transaction services in the German banking industry. Information & Management, 46(4), 249-257. Gonzalez, R., Gasco, J., & Llopis, J. (2009). Information systems outsourcing reasons and risks: an empirical study. International Journal of Human and Social Sciences, 4(3), 181-192. Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management science, 41(12), 1827-1844. Goswami, S., Teo, H. H., & Chan, H. C. (2008). Real options from RFID adoption: the role of institutions and managerial mindfulness. ICIS 2008 Proceedings, 128. Grandon, E. E., S. A. Nasco, and P. P. Mykytyn Jr. (2011). “Comparing Theories to Explain E-Commerce Adoption,” Journal of Business Research 64(3), 292–298 Hsiu‐Fen Lin, Gwo‐Guang Lee, (2005) "Impact of organizational learning and knowledge management factors on e‐business adoption", Management Decision, Vol. 43 Issue: 2, pp.171-188
Huang, J.-Y. (2016). Patent portfolio analysis of the cloud computing industry. Journal of Engineering and Technology Management, 39, 45-64. Hubert Gatignon, Jehoshua Eliashberg, and Thomas S. Robertson.Modeling Multinational Diffusion Patterns: An Efficient Methodology,Marketing Science 1989 8:3, 231-247 Jeyaraj, A., Rottman, J. W.& Lacity, M. C. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of Information Technology, 21(1), 1-23. Jiunn-Woei Lian, David C. Yen, Yen-Ting Wang(2014),An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital,International Journal of Information Management,Volume 34, Issue 1,Pages 28-36 Jula, A., Sundararajan, E., & Othman, Z. (2014). Cloud computing service composition: A systematic literature review. Expert Systems with Applications, 41(8), 3809-3824. Jung-Yu Lai, Juite Wang. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155-167. Kauffman, R. J., & Sougstad, R. (2008). Risk management of contract portfolios in IT services: The profit-at-risk approach. Journal of Management Information Systems, 25(1), 17-48. Kern, T., Willcocks, L. P., & Lacity, M. C. (2002). Application service provision: Risk assessment and mitigation. MIS Quarterly Executive, 1(2), 113-126. Khajeh-Hosseini, Ali et al. “Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS.” 2010 IEEE 3rd International Conference on Cloud Computing (2010): 450-457. Kimberly, J. R. (1976). Organizational size and the structuralist perspective: A review, critique, and proposal. Administrative Science Quarterly, 571-597. Kitchenham, B. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. EBSE Technical Report. Keele University & Department of Computer Science University of Durham. Kshetri, N. (2013). Privacy and security issues in cloud computing: The role of institutions and institutional evolution. Telecommunications Policy, 37(4-5), 372-386. Kung, L., Cegielski, C. G., & Kung, H. J. (2015). An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. Journal of Information Technology, 30(4), 352-363.Kushnir, M.L. Mirmulstein, R. Ramalho, Micro, Small, and Medium Enterprises Around the World: How Many Are There, and What Affects the Count? Worldbank/IFC, 2010 (Retrieved from http://bit.ly/1mWpy0A) Lacity, M. C., Willcocks, L. P., & Khan, S. (2011). Beyond transaction cost economics: towards an endogenous theory of information technology outsourcing. The Journal of Strategic Information Systems, 20(2), 139-157. Li, Y., He, C., Fan, X., Huang, X., & Cai, Y. (2015). HCloud, a Healthcare-Oriented Cloud System with Im-proved Efficiency in Biomedical Data Processing. Cloud Computing with e-Science Applications, 163. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22 140, 55. Lin, Angela Y. and Nan-Chou Chen. “Cloud computing as an innovation: Percepetion, attitude, and adoption.” Int J. Information Management 32 (2012): 533-540. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51(1), 176-189. Messerschmidt, C. M., & Hinz, O. (2013). Explaining the adoption of grid computing: An integrated institutional theory and organizational capability approach. The Journal of Strategic Information Systems, 22(2), 137-156. Mintzberg, H., Ahlstrand, B. and Lampel, J. (1998) Strategy Safari: A Guided Tour Through the Wilds of Strategic Management (New York: Free Press). Mohammed, F., Alzahrani, A. I., Alfarraj, O., & Ibrahim, O. (2018). Cloud Computing Fitness for E-Government Implementation: Importance-Performance Analysis. Ieee Access, 6, 1236-1248. National Institute of Standards and Technology. (2010).The NIST Definition of Cloud Computing. NIST Special Publication 800-145. (Retrieved from https://tinyurl.com/y7olqejs) Nunnally, J.C., Bernstein, I.H., (1994). Psychometric Theory, 3rd edn. McGraw-Hill, Inc, New York. Obal, M. (2013). Why do incumbents sometimes succeed? Investigating the role of interorganizational trust on the adoption of disruptive technology. Industrial Marketing Management, 42(6), 900-908. 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. Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of retailing, 67(4), 420. Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74.Peter, J. P., & Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of marketing research, 184-188. P. J. DiMaggio & W. Powell, "The iron cage revisited" institutional isomorphism and collective rationality in organizational fields", American Sociological Review, 48 (1983), 147-60. Porter, M. E. (2011). Competitive advantage of nations: creating and sustaining superior performance (Vol. 2): Simon and Schuster. Powell, W. W., & DiMaggio, P. J. (2012). The new institutionalism in organizational analysis: University of Chicago Press. Prakash, S. (2011). Risk management: Cloud computing considerations. Canadian Management Accounting. Qingxiong Ma, J. Michael Pearson, Suresh Tadisina.(2005),An exploratory study into factors of service quality for application service providers, Information & Management,Volume 42, Issue 8,Pages 1067-1080. Reay, T., Golden-Biddle, K., & Germann, K. (2006). Legitimizing a new role: Small wins and microprocesses of change. Academy of Management Journal, 49(5), 977-998. Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International Journal of Computer Integrated Manufacturing, 30(6), 501-515. Rieger, P., Gewald, H., Schumacher, B. (2013). Cloud-Computing in Banking Influential Factors, Benefits and Risks from a Decision Maker′s Perspective. AMCIS. Rogers, E. M. (2010). Diffusion of innovations: Simon and Schuster. Ronald Yanosky . (2008)The Tower and the Cloud: Higher Education in the Age of Cloud Computing,126-137 Schneider, S., & Sunyaev, A. (2016). Determinant factors of cloud-sourcing decisions: reflecting on the IT outsourcing literature in the era of cloud computing. Journal of Information Technology, 31(1), 1-31. Seyal, A. H., Noah Abd Rahman, M., & Awg Yussof Hj Awg Mohammad, H. (2007). A quantitative analysis of factors contributing electronic data interchange adoption among Bruneian SMEs: A pilot study. Business Process Management Journal, 13(5), 728-746. . Sushil Bhardwaj,Leena Jain, Sandeep Jain (2010) cloud computing: a study of infrastructure as a service (iaas).International Journal of Engineering and Information Technology, 2(1), 60-63 Tanadi, T., Samadi, B., & Gharleghi, B. (2015). The impact of perceived risks and perceived benefits to improve an online intention among generation-Y in Malaysia. Asian Social Science, 11(26), 226. Teo, H. H., Wei, K. K., & Benbasat, I. (2003). Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quarterly, 27(1), 19-49. Too, Eric G. and Weaver, Patrick (2014) The management of project management: a conceptual framework for project governance. International Journal of Project Management , 32 (8). pp. 1382-1394. Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. (1990). Processes of technological innovation (Issues in organization and management series). Lexington Books. Available at http://www/. amazon. com/Processes-Technological-Innovation-Organization/Management/dp/0669203483. Accessed June, 10, 2013. Tsai, J.-M., & Hung, S.-W. (2014). A novel model of technology diffusion: System dynamics perspective for cloud computing. Journal of Engineering and Technology Management, 33, 47-62. Tsikriktsis, N. (2004). A Technology Readiness-Based Taxonomy of Customers: A Replication and Extension. Journal of Service Research, 7(1), 42–52 Van de Weerd, I., Mangula, I. S., & Brinkkemper, S. (2016). Adoption of software as a service in Indonesia: Examining the influence of organizational factors. Information & Management, 53(7), 915-928. Wu, Y., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013). Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to go to the Cloud. Journal of Supply Chain Management, 49(3), 25-41. Yi-Wen Fan, Chun-Der Chen, Cheng-Chieh Wu & Yu-Hsien Fang (2015) The Effect of Status Quo Bias on Cloud System Adoption, Journal of Computer Information Systems, 55:3, 55-64.
中文文獻
Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle & Marko Sarstedt, 結構方程
模式:偏最小平方法 PLS-SEM 湯家偉(譯 高等教育文化事業有限
公司 ,民國 105年。
經濟部中小企業處, 2018中小企業白皮書 ,民國 107年 10月, 取自
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指導教授 陳炫碩 呂俊德(CHEN,XUAN-SHUO LEU,JUN-DER) 審核日期 2019-7-31
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