政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/130982
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113822/144841 (79%)
Visitors : 51779813      Online Users : 558
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/130982


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/130982


    Title: 企業導入工業4.0平台生態系之探索性研究
    An Exploratory Study on Enterprises Implementing the Ecosystem of Industry 4.0 Platform
    Authors: 林祐毅
    Lin, Yu-Yi
    Contributors: 洪為璽
    Hung, Wei-Hsi
    林祐毅
    Lin, Yu-Yi
    Keywords: 平台即服務
    工業4.0
    科技接受
    調適結構理論
    持續使用
    Platform as a Service (PaaS)
    Industry 4.0
    Technology Acceptance
    Adaptive Structuration Theory
    Continuous use
    Date: 2020
    Issue Date: 2020-08-03 17:36:36 (UTC+8)
    Abstract: 近年來全球工業聯網的應用急速成長，但是對於中小企業而言，工業物聯網的採用與導入成本相對較高，因此許多企業會選擇採用Platform as a Service (PaaS)的服務模式來降低成本。本研究透過與W公司PaaS平台合作，研究探討組織在面對此種平台時，與傳統單純導入系統的研究區別，找出其潛在的接受導入、組織調適過程及持續使用因素。本研究透過文獻回顧以及深度訪談來調查，企業組織在PaaS平台下所面臨的三個階段，依據其進入平台時間分為進入前期的接受導入、組織調適過程與後期持續使用，透過質性研究方式，邀請W公司PaaS平台廠商進行深度訪談，並藉由紮根理論將訪談內容彙整與編碼，歸納出主要因素，並透過訪談內容，建立平台初期接受導入與後期持續使用模型，來分析企業組織對於PaaS平台的各階段相關影響因素以及其關係。
    本研究結果根據訪談結果分析，歸納出初期接受導入模型及後期持續使用模型，一、初期接受導入模型：藉由TOE科技接受模式分析且根據訪談資料分析歸納，接受導入前因會受到科技(產品特性、產品廠商特性)、組織(企業需求、成本考量、內部參與、應用成效、管理壓力、使用習慣)、環境(合作夥伴、政府政策、競爭優勢、案例參考)三大構面及調節變數(程式能力、組織規模、市場趨勢)所影響。二、後期持續使用模型：透過調適結構理論分析與訪談資料歸納，企業組織會因產品提供之功能及服務，導致組織產生組織調適之過程(人員變異、組織調整)，改變組織績效，進而持續使用W公司PaaS平台。
    In recent years, the application of the global industrial networking has grown rapidly. However, for small and medium-sized enterprises, the costs of adoption and introduction to Industrial Internet of Things are relatively high. Thus, many enterprises would prefer to adopt the Platform as a Service (PaaS) model to reduce costs.
    This study cooperated with PaaS platform built by W company, to explore the differences between the platform and traditional imported systems during adoption and introduction. Also, finding out their potential factors of acceptance implement, organization adaptation process and continued use factors. This study will investigate through literature review and interviews. The situations while adopting and introducing PaaS platform to the organization are divided into three phases: early acceptance implement, organization adaptation process, and continuous use. The phases are based on the time when they entered the platform.
    In terms of research methods, in-depth interviews were conducted with PaaS platform vendors. The interview data were then summarized through grounded theory and concluded into main factors that affect the adoption, implementation, and adaptation of PaaS platform. The content of the interviews were then analyzed to set up the two theoretical models used in this study, which were the initial adoption model and the later continuous use model. Finally, the models were then applied to investigate the factors that influence adoption of PaaS platform and the relationship between the factors at various stage of implementation.
    According to the result analysis of the interviews, this study summarized the research data into two models: the initial adoption model and the later continuous use model. 1) The initial adoption model was modified from the technology-organization-environment (TOE) framework on the basis of interview data. There are three major aspects that affect the technology of an organization. Firstly, the technology perspective includes product characteristics and product manufacturer characteristics. Secondly, the organization perspective includes enterprise needs, cost, internal participation, effectiveness, management pressure, and usage habits. Thirdly, the environment perspective includes partners, government policies, competitive advantages, and case references. Finally, the moderator variables of this model includes program capabilities, organization size and market trends. 2) The continuous use model was in accordance with the adaptive structuration theory (AST) and the conclusion obtained from the interview data. Due to the functions and services provided by products, enterprises will face adaption process such as employee variation or organizational adjustment. Organizations will subsequently improve their organizational performance, and thus continuing to use the PaaS platform of W company.
    Reference: 第一節 中文部分
    Azure學習途徑(2019)。取自: https://docs.microsoft.com/zh-tw/learn/paths/azure-fundamentals/
    研華 Advantech。取自：https://www.advantech.tw/
    陳翰玫(2018)。使用者選擇第三方支付平台交易之關鍵因素探討。
    范美玲(2019)。從科技接受模行探討消費者Shopee平台使用意願。
    林聖偉(2019)。外送平台顧客滿意度之影響因素與顧客使用頻率的關係。
    吳明隆、涂金堂(2006)。SPSS與統計應用分析，二版。台北市：五南書局。
    胡幼慧(1996)。質性研究：理論方法及本土女性研究實例。台北市：巨流。
    陳順宇，(民87)，多變量分析。台北:華泰
    經濟部(2018) - 2018台灣中小企業白皮書。取自:https://www.moeasmea.gov.tw/list-tw-2345
     
    第二節 英文部分
    Ajjan, H., Hartshorne, R., Cao, Y. & Rodriguez, M. (2014). Continuance use intention of enterprise instant messaging: A knowledge management perspective. Behavior & Information Technology, 33(7), 678-692.
    Alves, H., Fernandes, C., & Raposo, M. (2016). Value co-creation: Concept and contexts of application and study. Journal of Business Research, 69(5), 1626-1633.
    Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
    Baker, J. (2012). The Technology–Organization–Environment Framework. In Information Systems Theory (pp. 231-245). New York, NY: Springer.
    Beauchamp, T. L., and Childress, J. F. (2001). Principles of Biomedical Ethics. Oxford: Oxford University Press
    Berg, B. L. (2000). Qualitative Research Methods for the Social Sciences (2ed). Boston : Allyn and Bacon.
    Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
    Bogers, M., Afuah, A., & Bastian, B. (2010). Users as innovators: A review, critique, and future research directions. Journal of Management, 36(4), 857–875.
    Borgman, H. P., Bahli, B., Heier, H., & Schewski, F. (2013). Cloudrise: exploring cloud computing adoption and governance with the TOE framework. Paper presented at the 2013 46th Hawaii international conference on system sciences.
    Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization,
    Buenestado, D., Elorz, J., Pérez-Yarza, E. G., Iruetaguena, A., Segundo, U., Barrena, R., & Pikatza, J. M. (2013). Evaluating acceptance and user experience of a guideline-based clinical decision support system execution platform. Journal of medical systems, 37(2), 9910.
    Burt, R. S. (2007). Secondhand brokerage: Evidence on the importance of local structure for managers, bankers, and analysts. Academy of Management Journal, 50(1), 119-148.
    decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective. International Journal of Mechanical, 8(1), 37-44.
    Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods. John Wiley & Sons Inc.
    Ceccagnoli, M., Forman, C., Huang, P., & Wu, D. J. (2011). Co-creation of value in a platform ecosystem: The case of enterprise software. MIS Quarterly, 36(1), 263-290
    Chau, P. Y. K., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: An exploratory study. MIS Quarterly, 21(1), 1–24.
    Chen, K. Y., & Chang, M. L. (2013). User acceptance of ‘near field communication’mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’model. The Service Industries Journal, 33(6), 609-623.
    Chen, S. L., Chen, J. H., & Lee, Y. (2018). A comparison of competing models for understanding industrial organization’s acceptance of cloud services. Sustainability, 10(3), 673.
    Cheng, F. T., Tieng, H., Yang, H. C., Hung, M. H., Lin, Y. C., Wei, C. F., & Shieh, Z. Y. (2016). Industry 4.1 for wheel machining automation. IEEE Robotics and Automation Letters, 1(1), 332-339.
    Collins, P. D., Hage, J., & Hull, F. M. (1988). Organizational and technological predictors of change in automaticity. Academy of Management Journal, 31(3), 512–543.
    Constantiou, I., Marton, A., & Tuunainen, V. K. (2017). Four Models of Sharing Economy Platforms. MIS Quarterly Executive, 16(4), 231-251
    Costa, C., Alvelos, H., & Teixeira, L. (2012). The use of Moodle e-learning platform: a study in a Portuguese University. Procedia Technology, 5, 334-343.
    Costache, S., Dib, D., Parlavantzas, N., & Morin, C. (2017). Resource management in cloud platform as a service systems: Analysis and opportunities. Journal of Systems and Software, 132, 98-118.
    Das, T. K., & Teng, B. S. (2000). A resource-based theory of strategic alliances. Journal of management, 26(1), 31-61.
    Das, T. K., & Teng, B. S. (2000). Instabilities of strategic alliances: An internal tensions perspective. Organization science, 11(1), 77-101.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology a comparison of two theoretical models. Management Science, 35(8), 928–1003
    Davidson, E. J. (2002). Technology Frames and Framing: A Socio-Cognitive Investigation of Requirements Determination. MIS Quarterly, 26(4), 329-358.
    De Melo Pereira, F.A., Ramos, A.S.M., Gouvêa, M.A. & da Costa, M.F. (2015). Satisfaction and continuous use intention of e-learning service in Brazilian public organizations. Computers in Human Behavior, 46(5), 139-148.
    Dedehayir, O., Mäkinen, S. J., & Ortt, J. R. (2016). Roles during innovation ecosystem genesis: A literature review. Technological forecasting and social change, 136, 18–29.
    Depietro, R., Wiarda, E., & Fleischer, M. (1990). The context for change: Organization, technology and environment. The processes of technological innovation, 199(0), 151-175.
    DeSanctis, G., & Poole, M. S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization science, 5(2), 121-147.
    Falk, M., Klien, M., and Schwarz, G. (2015). Large manufacturing firms plan to increase their investments in 2015. results of the wifo spring 2015 investment survey. WIFO Monatsberichte (monthly reports), 88(7):581–591.
    Foerderer, J., Kude, T., Schuetz, S. W., & Heinzl, A. (2019). Knowledge boundaries in enterprise software platform development: Antecedents and consequences for platform governance. Information Systems Journal, 29(1), 119-144.
    Folta, T. B., & Ferrier, W. J. (2000). The effect of national culture on partner buyouts in cross-border biotechnology alliances. The Journal of High Technology Management Research, 11(2), 175-198.
    Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measure error. Journal of Marketing Research, 18(1), XVIII, 39-50.
    Galliers, R. D. (2007). Organizational dynamics of technology-based innovation. In T. McMaster, D. Wastell, E. Ferneley, & J. DeGross (Eds.), Organizational dynamics of technology-based Innovation: Diversifying the research Agenda. New York: Springer.
    Giddens, A. (1984). The Constitution of Society: Outline of the Theory of Structuration. Berkely: University of California Press.
    Giessmann, A., & Stanoevska-Slabeva, K. (2013). Business Models of Platform as a Service (PaaS) Providers: Current State and Future Directions. Journal of Information Technology Theory and Application (JITTA), 13(4), 4.
    Goerzig, David, Bauernhansl, Thomas (2018). Enterprise architectures for the digital transformation in small and medium-sized enterprises. Procedia CIRP, Vol. 67, pp. 540-545
    Gölzer, P., Cato, P., & Amberg, M. (2015). Data processing requirements of Industry 4.0Use cases for big data applications. In European Conference on Information Systems, 529.
    Goscinski, A., & Brock, M. (2010). Toward dynamic and attribute-based publication, discovery and selection for cloud computing. Future generation computer systems, 26(7), 947-970.
    Grover, V. (1993). An empirically derived model for the adoption of customer-based interorganizational systems. Decision Sciences, 24(3), 603–640.
    Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874.
    Hagberg, Johan, Jonsson, Anna & Egels-Zandén, Niklas (2017). Retail digitalization: Implications for physical stores. Journal of Retailing and Consumer Services, Vol. 39, pp. 264-269.
    Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. (1998). Multivariate Data Analysis with Readings, 5th ed. New Jersey: Prentice Hall.
    Hennart, J. F. (1991). The transaction costs theory of joint ventures: An empirical study of Japanese subsidiaries in the United States. Management science, 37(4), 483-497.
    Hong, W. & Zhu, K. (2006). Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level. Information & Management, 43(2), 204-221.
    Hoskisson, R. E., Eden, L., Lau, C. M., & Wright, M. (2000). Strategy in emerging economies. Academy of management journal, 43(3), 249-267.
    Hsu, C. L., & Lin, J. C. C. (2016). Factors affecting the adoption of cloud services in enterprises. Information Systems and e-Business Management, 14(4), 791-822.
    Iansiti, M. & Levien, R., (2004a), Strategy as Ecology, Harvard Business Review, 82 (3), 68-78.
    Iansiti, M. & Levien, R., (2004b), The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability, Boston, MA: Harvard Business School Press.
    Jacobides, M. G. (2019). In the Ecosystem Economy, What’s Your Strategy?. Harvard Business Review, 97(5), 128-137.
    James, J. (2003). Sustainable Internet access for the rural poor? Elements of an emerging Indian model. Futures, 35(5), 461-472.
    Joshi, K. (1991). A Model of Users’ Perspective on Change: The Case of Information Systems Technology Implementation. MIS Quarterly, 15(2), 229-240.
    Kearns, G. S. (2006). The effect of top management support of SISP on strategic IS management: insights from the US electric power industry. Omega, 34(3), 236-253.
    Kenney, M., & Zysman, J. (2016). The rise of the platform economy. Issues in science and technology, 32(3), 61.
    Kerlinger, F.N. (1999). Foundations of Behavioral Research (2nd ed.). New York: Holt, Rinehart and Winston Inc..
    King, W. R., & Ramamurthy, K. (1992). Do organizations achieve their objectives from computer-based manufacturing technologies? IEEE Transactions on Engineering Management, 39(2), 129-141.
    Klein, H. K. and Myers, M. D. (1999). A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems. MIS Quarterly, 23(1), 67-79.
    Kuan, K. K. Y., & Chau, P. Y. K. (2001). A perception-based model for edi adoption in small businesses using a technology–organization–environment framework. Information Management, 38(8), 507–521.
    Kurz, M., & Fleischmann, A. (2011). BPM 2.0: Business process management meets empowerment. In A. Fleischmann, W. Schmidt, R. Singer, D. Seese, & 54-83 (Eds.), Subject-oriented business process management. Heidelberg: Springer.
    Lacka, E., Chan, H. K., & Yip, N. (Eds.). (2014). E-commerce platform acceptance: Suppliers, retailers, and consumers. Springer.
    Leavitt, N. (2009). Is cloud computing really ready for prime time? Computer, (1), 15-20.
    Lee, E. A. (2006). Cyber-physical systems-are computing foundations adequate. In Position Paper for NSF Workshop on Cyber-Physical Systems: Research Motivation, Techniques and Roadmap, 2, 1-9.
    Lee, C. P., & Shim, J. P. (2007). An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry. European Journal of Information Systems, 16(6), 712–724.
    Legault, L. (2016). Intrinsic and extrinsic motivation. Encyclopedia of Personality and Individual Difference, 1-4.
    Leonard-Barton, D. (1988). Implementation as mutual adaptation of technology and organization. Research policy, 17(5), 251-267.
    Leonardi, P. M., Huysman, M., & Steinfield, C. (2013). Enterprise social Media: Definition, history, & prospects for the study of social technologies in organizations. Journal of Computer-Mediated Communication, 19(1), 1-19.
    Li, W., Liu, K., Belitski, M., Ghobadian, A., & O`Regan, N. (2016). e-Leadership through strategic alignment: An empirical study of small-and medium-sized enterprises in the digital age. Journal of Information Technology, 31(2), 185-206.
    Majchrzak, A., Rice, R. E., Malhotra, A., King, N., & Ba, S. (2000). Technology adaptation: The case of a computer-supported inter-organizational virtual team. MIS quarterly, 24(4), 569-600.
    MarketsandMarkets.(2018). Software, Vertical, and Geography - Gobal Forecast to 2023. Retrieved from: https://www.marketsandmarkets.com/
    Markus, M. L. (1983). Power, Politics, and MIS implementation. Communications of the ACM, 28(6), 430-444.
    Marsh, H. W., and Hocevar, D. (1985). The application of confirmatory factor analysis to the study of self-concept: First and higher-order factor models and their invariance across groups. Psychological Bulletin, 97(3), 562-582.
    Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision Support Systems, 51(1), 176-189.
    McAfee, A. (2009). Enterprise 2.0: New collaborative tools for your organization`s toughest challenges. Boston: Harvard Business Press.
    Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.
    Miller, W. L., and Crabtree, B. F. (1992). Doing Qualitative Research. Primary Care Research: A Multimethod Typology and Qualitative Road Map. Newbury Park CA: Sage.
    Mishra, A. N., Konana, P., & Barua, A. (2007). Antecedents and consequences of internet use in procurement: An empirical investigation of us manufacturing firms. Information Systems Research, 18(1), 103–120.
    Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118-1136.
    Moore, J. F., (1993), Predators and Prey: a New Ecology of Competition, Harvard Business Review, 71 (3), 75-86.
    Moore, J. F., (1996), The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems, New York: Harper Business.
    Moore, J. F., Liang, J. & Yang, F. X., (1999), Translated, Decline and Fall of the Competition: Strategy and the Leadership of Business Ecosystem Times, Beijing : Beijing Press, 17-20
    Muffatto, M. (1999). Introducing a platform strategy in product development. International Journal of Production Economics, 60, 145-153.
    Nikkei Asian Review. (2018). Asia300. Retrieved from: https://www.nikkeiasia.com/ch/asian-review/index.html
    Nippa, M., & Reuer, J. J. (2019). On the future of international joint venture research. Journal of International Business Studies, 50(4), 555-597.
    Norman, R., & Ramírez, R. (1993). From value chain to value constellation: Designing, Harvard Business Review, 71(4): 65-77.
    Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.
    Pan, B., Guo, H., & Du, Y. (2018, March). Research on the User Acceptance Model of WeChat Public Platform Service. In 2017 International Conference Advanced Engineering and Technology Research (AETR 2017). Atlantis Press.
    Patton, M. Q. (1990). Qualitative Evaluation and Research Methods. Newbury Park: Sage Publications.
    Pearce II, J. A., & Hatfield, L. (2002). Performance effects of alternative joint venture resource responsibility structures. Journal of Business Venturing, 17(4), 343-364.
    Peng, M. W. (2000). Business strategies in transition economies. Thousand Oaks, CA: Sage.
    Peng, M. W. (2003). Institutional transitions and strategic choices. Academy of Management Review, 28(2): 275–296.
    Polites, G. L., & Karahanna, E. (2013). The embeddedness of information systems habits in organizational and individual level routines: Development and disruption. Mis Quarterly, 221-246.
    Ragu-Nathan, B. S., Apigian, C. H., Ragu-Nathan, T., & Tu, Q. (2004). A path analytic study of the effect of top management support for information systems performance. Omega, 32(6), 459-471.
    Ramaswamy, V., & Ozcan, K. (2018). What is co-creation? An interactional creation framework and its implications for value creation. Journal of Business Research, 84, 196-205.
    Rastogi, A. (2010). A model based approach to implement cloud computing in e-Governance. International Journal of Computer Applications, 9(7), 15-18.
    Raymond, L. (2005). Operations management and advanced manufacturing technologies in SMEs: a contingency approach. Journal of Manufacturing Technology Management, 16(8), 936-955.
    Ren, L., L. Zhang, F. Tao, C. Zhao, X. Chai, and X. Zhao. (2015). “Cloud Manufacturing: From Concept to Practice.” Enterprise Information Systems 9: 186–209.
    Ren, S., Eisingerich, A. B., & Tsai, H. T. (2015). How do marketing, research and development capabilities, and degree of internationalization synergistically affect the innovation performance of small and medium-sized enterprises (SMEs)? A panel data study of Chinese SMEs. International Business Review, 24(4), 642-651.
    Revilla-Camacho, M. A., Vega-Vázquez, M., & Cossío-Silva, F. J. (2015). Customer participation and citizenship behavior effects on turnover intention. Journal of Business Research, 68(7), 1607–1611.
    Robbins, S. P. (2001). Organizational Behavior. New Jersey: Prentic Hall.
    Rogers Everett, M. (1995). Diffusion of innovations. New York, 12.
    Ronald, B. (1992). Structural holes: The social structure of competition. Cambridge: Harvard.
    Ronteau, S. (2009). Embracing the condition of firm – pivot: Innovation Dynamics of Dassault Systems within its business ecosystem. Management & Future Review 28 (8). 196 – 215
    Sanislav, T., & Miclea, L. (2012). Cyber-physical systems-concept, challenges and research areas. Journal of Control Engineering and Applied Informatics, 14(2), 28-33.
    Schallmo, Daniel, Williams, Christopher A. & Boardman, Luke (2017). DIGITAL TRANSFORMATION OF BUSINESS MODELS - BEST PRACTICE, ENABLERS, AND ROADMAP. International Journal of Innovation Management, Vol. 21, Issue 8, pp. 1-17.
    Sebora, T. C., Theerapatvong, T., & Lee, S. M. (2010). Corporate entrepreneurship in the face of changing competition: a case analysis of six Thai manufacturing firms. Journal of Organizational Change Management, 23(4), 453-470.
    Shamsuzzoha, A., Toscano, C., Carneiro, L. M., Kumar, V., & Helo, P. (2016). ICT-based solution approach for collaborative delivery of customized products. Production Planning & Control, 27(4), 280-298.
    Strauss, A., and Corbin, J. (1998). Basics of qualitative research: Procedures and techniques for developing grounded theory.
    Stuart, T. E., & Podolny, J. M. (1999). Positional consequences of strategic alliances in the semiconductor industry. Research in the Sociology of Organizations, 16(1), 161-182.
    Sun, Y. & Jeyaraj, A. (2013). Information technology adoption and continuance: A longitudinal study of individuals’ behavioral intentions. Information & Management, 50(7), 457-465.
    Surendro, K., & Fardani, A. (2012, April). Identification of SME readiness to implement cloud computing. In 2012 International Conference on Cloud Computing and Social Networking (ICCCSN) (pp. 1-4). IEEE.
    Swink, M. (2000). Technological innovativeness as a moderator of new product design integration and top management support. Journal of Product Innovation Management: AN INTERNATIONAL PUBLICATION OF THE PRODUCT DEVELOPMENT & MANAGEMENT ASSOCIATION, 17(3), 208-220.
    Tan, K. S., & Eze, U. C. (2008). An empirical study of internet-based ICT adoption among Malaysian SMEs. Communications of the IBIMA, 1(1), 1-12.
    Tassey, G. (2014). Competing in advanced manufacturing: The need for improved growth models and policies. The Journal of Economic Perspectives, pages 27–48.
    Thompson, R. L., Higgins, C. A., & Howell, J. M. (1994). Influence of experience on personal computer utilization: testing a conceptual model. Journal of management information systems, 11(1), 167-187.
    Tornatzky, L.G., & Fleischer, M. (1990). The Process of Technological Innovation. Lexington, MA: Lexington Books.
    Tower, A. P., Hewett, K., & Fenik, A. P. (2019). The Role of Cultural Distance Across Quantiles of International Joint Venture Longevity. Journal of International Marketing, 27(4), 3-21.
    Tyre, M. J., & Orlikowski, W. J. (1994). Windows of opportunity: Temporal patterns of technological adaptation in organizations. Organization Science, 5(1), 98-118.
    Urquhart, C., Lehmann, H, & Myers, M. D. (2010). Putting the ‘theory’ back into grounded theory: guidelines for grounded theory studies in information systems. Information Systems Journal, 20(4), 357-381.
    Uzunca, B., & Borlenghi, A. (2019). Regulation strictness and supply in the platform economy: The case of Airbnb and Couchsurfing. Industry and Innovation, 26(8), 920-942.
    Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704.
    Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2008). A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1), 50-55.
    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.
    Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
    Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
    Walsham, G. (1993). Interpreting Information System in Organizations. New York: John Wiley & Sons, Inc.
    Wang, W., Liu, Y., Liang, Y. & He, K. (2017). The influential factors of organization adoption of e-government cloud. 2017 International Conference on Financial Management, Education and Social Science. Hohhot, China.
    Wang, Y.S., Li, H.T., Li, C.R. & Zhang, D.Z. (2016). Factors affecting hotels` adoption of mobile reservation systems: A technology-organization-environment framework. Tourism Management, 53, 163-172.
    Yin, R. K. (2002). Case Study Research Design and Method (3ed.). Thousand Oaks: Sage.
    Yin, R. K. (2013). Case Study Research Design and Method. California: Sage.
    Yoon, G., Duff, B.R. & Ryu, S. (2013). Gamers just want to have fun? Toward an understanding of the online game acceptance. Journal of Applied Social Psychology, 43(9), 1814-1826.
    Zahra, S. A., Ireland, R. D., & Hitt, M. A. (2000). International expansion by new venture firms: International diversity, mode of market entry, technological learning, and performance. Academy of Management journal, 43(5), 925-950.
    Zhu, F., & Iansiti, M. (2019). Why Some Platforms Thrive and Others Don`t. Boston: Harvard Business Press.
    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.
    Description: 碩士
    國立政治大學
    資訊管理學系
    107356031
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107356031
    Data Type: thesis
    DOI: 10.6814/NCCU202000882
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File Description SizeFormat
    603101.pdf3639KbAdobe PDF20View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback