雲轉型的策略價值實現：組織搜尋與注意力參與

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。

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.