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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 江俊毅 | zh_TW |
| dc.contributor.advisor | James J. Jiang | en |
| dc.contributor.author | 吳岳穎 | zh_TW |
| dc.contributor.author | Yueh-Ying Wu | en |
| dc.date.accessioned | 2025-07-02T16:33:31Z | - |
| dc.date.available | 2025-07-03 | - |
| dc.date.copyright | 2025-07-02 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-06-25 | - |
| dc.identifier.citation | Aggarwal, M., Krishankumar, R., Ravichandran, K. S., & Hanmandlu, M. (2024). Cloud vendor selection using choice models based on interactive criteria and varying attitudes of experts. Expert Systems with Applications, 239, 122021.
Aguirre-Urreta, M. I., & Rönkkö, M. (2018). Statistical inference with PLSc using bootstrap confidence intervals. MIS Quarterly, 42(3), 1001-1020, A1-A10. Ali, O., Shrestha, A., Ghasemaghaei, M., & Beydoun, G. (2022). Assessment of complexity in cloud computing adoption: A case study of local governments in Australia. Information Systems Frontiers, 1-23. Aljuhani, A., Alhubaishy, A., Rahmani, M. K. I., & Alzahrani, A. A. (2023). Light-Weighted Decision Support Framework for Selecting Cloud Service Providers. Computers, Materials & Continua, 74(2). Anand, A., Sharma, R., & Kohli, R. (2020). The effects of operational and financial performance failure on BI&A-enabled search behaviors: A theory of performance-driven search. Information Systems Research, 31(4), 1144-1163. Argote, L., & Greve, H. R. (2007). A behavioral theory of the firm—40 years and counting: Introduction and impact. Organization Science, 18(3), 337-349. Argote, L., Lee, S., & Park, J. (2021). Organizational learning processes and outcomes: Major findings and future research directions. Management Science, 67(9), 5399-5429. Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421-458. Barros, A. P., & Ramos, I. (2023). Organizational mindfulness to innovation at an organization in the cork sector. Information Technology & People, 36(2), 757–780. Battleson, D. A., West, B. C., Kim, J., Ramesh, B., & Robinson, P. S. (2016). Achieving dynamic capabilities with cloud computing: An empirical investigation. European Journal of Information Systems, 25(3), 209-230. Bendig, D., Wagner, R., Piening, E. P., & Foege, J. N. (2023). Attention to Digital Innovation: Exploring the Impact of a Chief Information Officer in the Top Management Team. MIS Quarterly, 47(4), 1487-1516. 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. Benlian, A., Kettinger, W. J., Sunyaev, A., & Winkler, T. J. (2018). The transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework. Journal of Management Information Systems, 35(3), 719-739. 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. Bian, Y., Kang, L., & Zhao, J. L. (2020). Dual decision-making with discontinuance and acceptance of information technology: the case of cloud computing. Internet Research, 30(5), 1521-1546. Bouaynaya, W. (2020). Characterization of cloud computing reversibility as explored by the DELPHI method. Information Systems Frontiers, 22(6), 1505-1518. Chan, Y. E., Sabherwal, R., & Thatcher, J. B. (2006). Antecedents and outcomes of strategic IS alignment: an empirical investigation. IEEE Transactions on Engineering Management, 53(1), 27-47. Chen, Q., Gong, Y., Liu, S., & Lu, Y. (2024). Conceptualization and measurement of voice-interaction usability: The development of cooperative principle theory for smart product use. MIS Quarterly, 48(3), 1009-1046. Cho, V., & Chan, A. (2015). An integrative framework of comparing SaaS adoption for core and non-core business operations: An empirical study on Hong Kong industries. Information Systems Frontiers, 17, 629-644. Cleverence. (2024). Overcoming challenges in cloud-based software integration. Retrieved from https://www.cleverence.com/articles/business-blogs/overcoming-challenges-in-cloud-based-software-integration/ Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152. Cyert, R. M., & March, J. G. (1963). A Behavioral Theory of the Firm. Prentice-Hall, Englewood Cliffs, NJ. Dataversity. (2022). 2022 State of Cloud Architecture Report. Retrieved from https://www.dataversity.net Demirkan, H., & Delen, D. (2013). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412-421. Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297-316. Dong, J. Q., Karhade, P. P., Rai, A., & Xu, S. X. (2021). How firms make information technology investment decisions: Toward a behavioral agency theory. Journal of Management Information Systems, 38(1), 29-58. Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532-550. Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25-32. El-Haddadeh, R. (2020). Digital innovation dynamics influence on organisational adoption: the case of cloud computing services. Information Systems Frontiers, 22(4), 985-999. Garrison, G., Wakefield, R. L., & Kim, S. (2015). The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. International Journal of Information Management, 35(4), 377-393. Gavetti, G., Greve, H. R., Levinthal, D. A., & Ocasio, W. (2012). The behavioral theory of the firm: Assessment and prospects. Academy of Management Annals, 6(1), 1-40. Giakoumis, D., Mavridou, E., Votis, K., Giannoutakis, K., Tzovaras, D., & Hassapis, G. (2015). A semantic framework to support the management of cloud-based service provision within a global public inclusive infrastructure. International Journal of Electronic Commerce, 20(1), 142-173. Greve, H. R. (2003). A behavioral theory of R&D expenditures and innovations: Evidence from shipbuilding. Academy of Management Journal, 46(6), 685-702. Gupta, S., Meissonier, R., Drave, V. A., & Roubaud, D. (2020). Examining the impact of Cloud ERP on sustainable performance: A dynamic capability view. International Journal of Information Management, 51, 102028. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. Hsu, P. F. (2022). A deeper look at cloud adoption trajectory and dilemma. Information Systems Frontiers, 24(1), 177-194. Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474-488. Huber, G. P. (1991). Organizational learning: The contributing processes and the literatures. Organization Science, 2(1), 88-115. Javadi, M., Zaidieh, A., & Sheard, G. (2013). The impact of user interface design on idea integration in electronic brainstorming. Journal of the Association for Information Systems, 14(1), 1–23. Jenkin, T. A., Chan, Y. E., & Sabherwal, R. (2019). Mutual Understanding in Information Systems Development. MIS Quarterly, 43(2), 649-672. Jiang, H., Siponen, M., & Tsohou, A. (2023). Personal use of technology at work: a literature review and a theoretical model for understanding how it affects employee job performance. European Journal of Information Systems, 32(2), 331-345. Jones, S., Irani, Z., Sivarajah, U., & Love, P. E. (2019). Risks and rewards of cloud computing in the UK public sector: A reflection on three organisational case studies. Information Systems Frontiers, 21, 359-382. Karhade, P. P., & Dong, J. Q. (2021). Innovation outcomes of digitally enabled collaborative problemistic search capability. MIS Quarterly, 45(2), 693-717. Karr-Wisniewski, P., & Lu, Y. (2010). When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity. Computers in Human Behavior, 26(5), 1061-1072. Karunagaran, S., Mathew, S. K., & Lehner, F. (2019). Differential cloud adoption: A comparative case study of large enterprises and SMEs in Germany. Information Systems Frontiers, 21, 861-875. Kathuria, A., Mann, A., Khuntia, J., Saldanha, T. J., & Kauffman, R. J. (2018). A strategic value appropriation path for cloud computing. Journal of Management Information Systems, 35(3), 740-775. Khalil, S., & Winkler, T. J. (2023). How software as a service simultaneously affords organizational agility and inertia. The Journal of Strategic Information Systems, 32(4), 101804. Kim, Y., & Rhee, M. (2022). When do generalists change more than specialists? Problem-driven and slack-driven change in labor allocation. Strategic Organization, 20(2), 270-292. Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (IJEC), 11(4), 1-10. Kumar, N., Stern, L. W., & Anderson, J. C. (1993). Conducting interorganizational research using key informants. Academy of Management Journal, 36(6), 1633-1651. Lang, M., Wiesche, M., & Krcmar, H. (2018). Criteria for selecting cloud service providers: A Delphi study of quality-of-service attributes. Information & Management, 55(6), 746-758. Langley, A. (2007). Process thinking in strategic organization. Strategic Organization, 5(3), 271-282. Laureiro-Martinez, D., Arrieta, J. P., & Brusoni, S. (2023). Microfoundations of problem solving: Attentional engagement predicts problem-solving strategies. Organization Science, 34(6), 2207-2230. Levinthal, D., & March, J. G. (1981). A model of adaptive organizational search. Journal of Economic Behavior & Organization, 2(4), 307-333. Li, H., Kettinger, W. J., & Yoo, S. (2024). Dark Clouds on the Horizon? Effects of Cloud Storage on Security Breaches. Journal of Management Information Systems, 41(1), 206-235. Lin, H. E., Choi, J., & Li, P. H. (2024). The impact of managerial goal attention alignment on dynamic capabilities: Insights from Taiwanese social enterprises. Journal of Small Business Management, 1-33. Liu, Y., Huang, Y., Luo, Y., & Zhao, Y. (2012). How does justice matter in achieving buyer–supplier relationship performance? Journal of Operations Management, 30(5), 355-367. Loukis, E., Janssen, M., & Mintchev, I. (2019). Determinants of software-as-a-service benefits and impact on firm performance. Decision Support Systems, 117, 38-47. Lu, L. H., & Fang, S. C. (2013). Problematic search, slack search and institutional logic in corporate R&D strategy: An empirical analysis of Taiwanese electronics firms. Journal of Management & Organization, 19(6), 659-678. Lungeanu, R., Stern, I., & Zajac, E. J. (2016). When do firms change technology‐sourcing vehicles? The role of poor innovative performance and financial slack. Strategic Management Journal, 37(5), 855-869. Mack, D. Z., Cho, T. S., & Yi, A. C. (2024). Attentional engagement and strategic responses to discontinuous environmental change: Evidence from the US banking industry. Strategic Organization, 22(1), 49-90. Madsen, P. M., & Desai, V. (2024). Change at last, but when does change last? Preserving attentional engagement around past failures and their lessons. Academy of Management Journal, 67(4), 933-955. Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883. Manata, B., Garcia, A. J., Mollaoglu, S., & Miller, V. D. (2021). The effect of commitment differentiation on integrated project delivery team dynamics: The critical roles of goal alignment, communication behaviors, and decision quality. International Journal of Project Management, 39(3), 259-269. McKinsey & Company. (2021). Cloud’s trillion-dollar prize is up for grabs. Retrieved from https://www.mckinsey.com Merit Data Tech. (2022, November 3). Cloud Migration vs. Cloud Transformation. https://www.meritdata-tech.com/resources/blog/digital-engineering-solutions/cloud-migration-cloud-transformation/ Muhic, M., Bengtsson, L., & Holmström, J. (2023). Barriers to continuance use of cloud computing: Evidence from two case studies. Information & Management, 60(5), 103792. Myers, M. D., & Newman, M. (2007). The qualitative interview in IS research: Examining the craft. Information and organization, 17(1), 2-26. Nazir, S., & Pinsonneault, A. (2021). Relating agility and electronic integration: The role of knowledge and process coordination mechanisms. The Journal of Strategic Information Systems, 30(2), 101654. Nicolini, D., & Korica, M. (2021). Attentional engagement as practice: A study of the attentional infrastructure of healthcare chief executive officers. Organization Science, 32(5), 1273-1299. Ocasio, W. (1997). Towards an attention‐based view of the firm. Strategic Management Journal, 18(S1), 187-206. Ocasio, W. (2011). Attention to attention. Organization Science, 22(5), 1286-1296. 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. Pache, A. C., Battilana, J., & Spencer, C. (2024). An integrative model of hybrid governance: The role of boards in helping sustain organizational hybridity. Academy of Management Journal, 67(2), 437-467. Patnayakuni, R., Rai, A., & Tiwana, A. (2007). Systems development process improvement: A knowledge integration perspective. IEEE Transactions on Engineering Management, 54(2), 286-300. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. Posen, H. E., Keil, T., Kim, S., & Meissner, F. D. (2018). Renewing research on problemistic search—A review and research agenda. Academy of Management Annals, 12(1), 208-251. PwC. (2024, June–July). 2024 Cloud and AI Business Survey. PwC. Retrieved June 2025, from https://www.pwc.com/us/en/tech-effect/cloud/cloud-ai-business-survey.html Rahrovani, Y., & Pinsonneault, A. (2020). Innovative IT use and innovating with IT: a study of the motivational antecedents of two different types of innovative behaviors. Journal of the Association for Information Systems, 21(4), 936-970. Rite Software. (2024, February 23). 9 common cloud integration challenges and how to overcome them. Retrieved from https://rite.digital/blog/9-common-cloud-integration-challenges-and-how-to-overcome-them/ Rodrigues, J., Ruivo, P., & Oliveira, T. (2021). Mediation role of business value and strategy in firm performance of organizations using software-as-a-service enterprise applications. Information & Management, 58(1), 103289. Salge, T. O., Kohli, R., & Barrett, M. (2015). Investing in information systems: on the behavioral and institutional search mechanisms underpinning hospitals’ is investment decisions. MIS Quarterly, 39(1), 61-90. Saratchandra, M., Shrestha, A., & Murray, P. A. (2022). Building knowledge ambidexterity using cloud computing: Longitudinal case studies of SMEs experiences. International Journal of Information Management, 67, 102551. Saunders, C., Wiener, M., Klett, S., & Sprenger, S. (2017). The impact of mental representations on ICT-related overload in the use of mobile phones. Journal of Management Information Systems, 34(3), 803-825. 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. Schneider, S., Wollersheim, J., Krcmar, H., & Sunyaev, A. (2018). How do requirements evolve over time? A case study investigating the role of context and experiences in the evolution of enterprise software requirements. Journal of Information Technology, 33(2), 151-170. Schniederjans, D. G., & Hales, D. N. (2016). Cloud computing and its impact on economic and environmental performance: A transaction cost economics perspective. Decision Support Systems, 86, 73-82. Schulze, A., & Brusoni, S. (2022). How dynamic capabilities change ordinary capabilities: Reconnecting attention control and problem‐solving. Strategic Management Journal, 43(12), 2447-2477. Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium sized enterprises (SMEs). Information Systems Frontiers, 17, 475-492. Shepherd, D. A., Mcmullen, J. S., & Ocasio, W. (2017). Is that an opportunity? An attention model of top managers' opportunity beliefs for strategic action. Strategic Management Journal, 38(3), 626-644. Symeou, P. C., Zyglidopoulos, S., & Gardberg, N. A. (2019). Corporate environmental performance: Revisiting the role of organizational slack. Journal of Business Research, 96, 169-182. Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. Sage. Thaha, T., Kalaiarasan, C., & Venkatesh, K. A. (2022). Cloud Service Provider Selection Using Fuzzy Data Envelopment Analysis Based on SMI Attributes. International Journal of Fuzzy System Applications (IJFSA), 11(4), 1-24. Thakur, N., Singh, A., & Sangal, A. L. (2022). Cloud services selection: A systematic review and future research directions. Computer Science Review, 46, 100514. Tsai, J. C. A., Jiang, J. J., Klein, G., & Hung, S. Y. (2023). Task conflict resolution in designing legacy replacement systems. Journal of Management Information Systems, 40(3), 1009-1034. Tyler, B. B., & Caner, T. (2016). New product introductions below aspirations, slack and R&D alliances: A behavioral perspective. Strategic Management Journal, 37(5), 896-910. Uma, S. (2022). An integrated multi-criteria decision-making model for cloud service provider selection. International Journal of Decision Support System Technology (IJDSST), 14(1), 1-18. 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. Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems. MIS Quarterly: Management Information Systems, 37(1), 21-54. Venkatesh, V., Brown, S. A., & Sullivan, Y. (2016). Guidelines for Conducting Mixed-methods Research: An Extension and Illustration. Journal of the Association for Information Systems, 17(7), 435-494. Vlaar, P. W., van Fenema, P. C., & Tiwari, V. (2008). Co-creating understanding and value in distributed work: How members of onsite and offshore vendor teams give, make, demand, and break sense. MIS Quarterly, 227-255. Vuori, T. O. (2024). Emotions and attentional engagement in the attention-based view of the firm. Strategic Organization, 22(1), 189-210. Wang, F. K., & He, W. (2014). Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan. International Journal of Information Management, 34(3), 406-415. Wang, X. H. F., Kim, T. Y., & Lee, D. R. (2016). Cognitive diversity and team creativity: Effects of team intrinsic motivation and transformational leadership. Journal of Business Research, 69(9), 3231-3239. Wright, R. T., Roberts, N., & Wilson, D. (2017). The role of context in IT assimilation: A multi-method study of a SaaS platform in the US nonprofit sector. European Journal of Information Systems, 26(5), 509-539. Xiao, X., Sarker, S., Wright, R. T., Sarker, S., & Mariadoss, B. J. (2020). Commitment and replacement of existing SaaS-delivered applications: A mixed-methods investigation. MIS Quarterly, 44(4), 1811-1857. Xu, D., Zhou, K. Z., & Du, F. (2019). Deviant versus aspirational risk taking: The effects of performance feedback on bribery expenditure and R&D intensity. Academy of Management Journal, 62(4), 1226-1251. Yin, P., Wang, W., Wang, C., & Liang, L. (2023). Does enterprise social media use in the post-acceptance stage improve employee autonomy? An information processing perspective. Industrial Management & Data Systems, 123(8), 2055-2078. Yu, Y., Li, M., Li, X., Zhao, J. L., & Zhao, D. (2018). Effects of entrepreneurship and IT fashion on SMEs’ transformation toward cloud service through mediation of trust. Information & Management, 55(2), 245-257. Zhang, Z., Nan, G., & Tan, Y. (2020). Cloud services vs. on-premises software: Competition under security risk and product customization. Information Systems Research, 31(3), 848-864. Zhu, W., Fan, D., & Wang, S. (2025). Why do manufacturers launch virtual NFT products? The role of aspirational inventory levels. International Journal of Production Economics, 286, 109673. Zimmermann, A., Oshri, I., Lioliou, E., & Gerbasi, A. (2018). Sourcing in or out: Implications for social capital and knowledge sharing. The Journal of Strategic Information Systems, 27(1), 82-100. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97580 | - |
| dc.description.abstract | 本論文探討企業在雲端轉型過程中的兩個關鍵階段：雲服務導入前供應商選擇與導入後執行階段。研究結合組織搜尋理論與注意力基礎觀點，採用混合方法設計，進行兩個互補性研究。
研究一探討雲端供應商的選擇階段，並辨識出兩項關鍵的資訊複雜性—「雲端服務資訊多樣性」與「雲端系統資訊量」，這兩者會影響客戶組織評估供應商的合適性。該研究以組織搜尋理論為基礎，提出兩種不同的搜尋機制：用於雲端服務一致的「探索型搜尋」與用於雲端系統整合的「診斷型搜尋」。訪談企業雲服務決策者的質性結果顯示，探索型搜尋是由於資訊模糊與缺乏經驗所驅動，透過多樣的資訊蒐集與來幫助學習，而診斷型搜尋則是在概念驗證測試階段啟動，著重於在時間壓力下解決具體的整合問題。針對96家企業進行的問卷調查，探索型搜尋有助於形成「雲端服務一致性知識」，而診斷型搜尋則促進「雲端系統整合可行性知識」的建立，這兩種知識類型進而提升了雲端供應商選擇的決策品質。 研究二聚焦於雲端轉型的導入後階段，並將「注意力參與」理論化為一種跨組織、領域特定的協調機制。研究辨識出兩種互補的注意力配置模式：在雲端服務一致方面由客戶主導執行注意力，供應商配合參與；在雲端系統整合方面則由供應商主導注意力警覺性，客戶提供回應參與。這些配置呈現出非對稱但協調一致的注意力分工，符合服務與系統領域中不同任務的需求。透過混合方法設計，結合訪談與對97家導入雲端服務企業的調查，研究證實這些注意力配置顯著提升了雲端服務一致性、雲端系統整合，以及整體營運效能。 本論文整合上述兩階段分析，建構出具階段性特徵的雲端轉型理論框架。本研究擴展了雲端運算、組織學習與注意力參與的理論基礎，也提供企業實務操作中因應雲服務資訊多樣性與雲端系統資訊量的具體建議。 | zh_TW |
| dc.description.abstract | This dissertation investigates how client organizations navigate complexity and realize value in cloud transformation through distinct mechanisms across two critical stages: pre-adoption vendor selection and post-adoption implementation. Drawing from organizational search theory and the attention-based view, the research adopts a mixed-methods design comprising two complementary studies.
Study 1 examines the cloud vendor selection phase and identifies two key informational complexities, cloud service information diversity and cloud system information volume, that hinder client organizations' ability to evaluate vendor fit. Drawing on organizational search theory, the study introduces two distinct search mechanisms: exploratory search for service alignment and diagnostic search for system integration. Qualitative findings from interviews with decision-makers reveal that exploratory search is driven by ambiguity and limited prior experience, supporting learning through broad scanning and collaborative interpretation. In contrast, diagnostic search is triggered during proof-of-concept testing, oriented toward resolving concrete integration issues under time pressure. A follow-up survey with 96 firms confirms that exploratory search facilitates the development of cloud service alignment congruent knowledge, while diagnostic search fosters cloud system integration actionable knowledge. These two forms of knowledge improve decision quality in cloud vendor selection. Study 2 examines the post-adoption phase of cloud transformation and theorizes attentional engagement as a cross-organizational, domain-specific coordination mechanism. It identifies two configurations of attentional complementarity: client-led executive attention with vendor engagement in cloud service alignment, and vendor-led attentional vigilance with client engagement in cloud system integration. These configurations reflect asymmetrical yet coordinated patterns of attention allocation between clients and vendors, tailored to the distinct demands of service and system domains. A mixed-methods design, combining qualitative interviews and a survey of 97 cloud-adopting firms, confirms that these attentional patterns significantly enhance cloud service quality, system integration quality, and overall operational effectiveness. The two studies provide a stage-specific framework for understanding cloud transformation. The dissertation advances theoretical insights into cloud computing, organizational learning, and attentional engagement while offering practical guidance on managing complexity and coordination across cloud transformation phases. | en |
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| dc.description.tableofcontents | 口試委員會審定書 i
謝辭 ii 中文摘要 iii ABSTRACT iv 目 次 vi 圖 次 vii 表 次 viii Chapter 1 Research background 1 Chapter 2 Study 1: Organizational search in cloud vendor selection 4 2.1 Introduction 4 2.2 Theoretical background 14 2.2.1 Cloud vendor selection in IS literature 14 2.2.2 Organizational search 17 2.3 Mixed methods design 25 2.3.1 Qualitative study 27 2.3.2 Quantitative study 53 2.4 Result 69 2.4.1 Measurement model 70 2.4.2 Structural model 73 2.5 Discussion and implication 77 2.5.1 Theoretical implications 78 2.5.2 Practical implications 81 2.5.3 Limitations and future research 82 Chapter 3 Study 2: Realizing cloud capability: Attentional engagement 84 3.1 Introduction 84 3.2 Theoretical background 92 3.2.1 Cloud service alignment and cloud system integration 92 3.2.2 Attentional engagement 94 3.3 Mixed methods design 102 3.3.1 Qualitative study 104 3.3.2 Quantitative study 119 3.4 Result 132 3.4.1 Measurement model 133 3.4.2 Structural model 136 3.5 Discussion and implication 140 3.5.1 Theoretical implications 141 3.5.2 Practical implications 143 3.5.3 Limitations and future research 144 Chapter 4 Summary and conclusion 146 4.1 Summary of theoretical contributions 146 4.2 Conclusion 149 References 151 | - |
| dc.language.iso | en | - |
| dc.subject | 注意力參與 | zh_TW |
| dc.subject | 雲端供應商選擇 | zh_TW |
| dc.subject | 雲轉型 | zh_TW |
| dc.subject | 組織搜尋 | zh_TW |
| dc.subject | 注意力基礎觀點 | zh_TW |
| dc.subject | Cloud vendor selection | en |
| dc.subject | Attention engagement | en |
| dc.subject | Cloud transformation | en |
| dc.subject | Attention-based view | en |
| dc.subject | Organizational search | en |
| dc.title | 雲轉型的策略價值實現：組織搜尋與注意力參與 | zh_TW |
| dc.title | Realizing Strategic Value of Cloud Transformation: Organizational Search and Attentional Engagement | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 博士 | - |
| dc.contributor.oralexamcommittee | 王存國;洪新原;陳家麟;陳忠仁;李永銘;黃士銘;蔡家安 | zh_TW |
| dc.contributor.oralexamcommittee | Eric Tswen-Gwo Wang;Shin-Yuan Hung;Chialin Chen;Chung-Jen Chen;Yung-Ming Li;Shi-Ming Huang;Jacob Chia-An Tsai | en |
| dc.subject.keyword | 雲轉型,雲端供應商選擇,組織搜尋,注意力基礎觀點,注意力參與, | zh_TW |
| dc.subject.keyword | Cloud transformation,Cloud vendor selection,Organizational search,Attention-based view,Attention engagement, | en |
| dc.relation.page | 159 | - |
| dc.identifier.doi | 10.6342/NTU202501292 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2025-06-25 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 商學研究所 | - |
| dc.date.embargo-lift | N/A | - |
| 顯示於系所單位： | 商學研究所 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf 未授權公開取用 | 4.79 MB | Adobe PDF |
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