近年來，許多公司面臨需要透過資訊科技來獲取競爭優勢。各產業對於資訊系統的要求越來愈多，促使資訊系統的開發工作越加複雜，而使得成功完成資訊系統的開發變的日益困難。 軟體工程協會指出軟體能力成熟度整合模式(Capability Maturity Model Integration, CMMI)強調軟體開發需要追求開發程序的改善與程序的最佳化。透過程序的改善以降低軟體開發專案失敗的機率。根據創意的定義，資訊系統開發程序的改善是團隊創意的表現。 目前少有研究從創意的觀點探討資訊系統開發程序的改善。根據社會認知理論指出效能信念是解釋行為/產出的關鍵元素。學者們也證明創意自我效能對於創意的重要性。到目前為止，效能與創意的連結僅限於個人層次的研究。因此，本研究將以資訊系統開發程序改善為研究情境，進行集體效能與創意文獻的連結，提出資訊系統開發團隊集體創意效能之概念，並探討集體創意效能的前置因素與了解干擾集體創意效能形成的因素。 本研究採用部分最小平方法 (Partial Least Squares)，分析98組開發資訊系統的學生團隊與61組開發資訊系統的業界團隊資料，以驗證研究模型。結果指出在學生團隊方面，團隊知識程度、成就動機、團隊知識整合能力會正向影響集體創意效能的形成；團隊互動程度會干擾團隊知識程度與集體創意效能的關係、專案複雜度會干擾團隊知識程度與集體創意效能的關係以及干擾團隊知識整合能力與集體創意效能的關係。在業界團隊方面，團隊知識程度、成就動機、團隊知識整合能力會正向影響集體創意效能的形成；團隊互動程度會干擾團隊知識程度與集體創意效能的關係、專案複雜度會干擾團隊知識程度與集體創意效能的關係、成就動機與集體創意效能的關係以及團隊知識整合能力與集體創意效能的關係。此外，本研究亦探討在不同專案複雜度的情境中，影響集體創意效能之前置因素。 / Numerous companies have recently employed information systems to obtain a competitive edge. The demand for many new and different information system (IS) applications has increased the scope and complexity of IS developing. Developing successful IS projects became difficult. Software Engineering Institute proposed Capability Maturity Model Integration (CMMI) that emphasized process optimization of software development. The improvement in software process can reduce the probability failure in development software. According to the definition of creativity, the improvement in software process is team creativity. However, there are few studies which discuss the issues about systems development process improvement from creative perspective. According to the social cognitive theory, efficacy is a key factor for interpreting behavior/products. Scholars demonstrated that creative self-efficacy is important to creativity. Previous researchers which studied the potential link between efficacy and creativity are focus on individual level. Thus, this study combined the literatures of collective efficacy and team creativity to propose a new construct (Collective creative efficacy, CCE) for information systems development teams, and explore the influences and moderators for CCE. 98 student project teams and 61 industry project teams are surveyed. Partial least squares (PLS) results demonstrate that team knowledge, achievement motivation and knowledge integration ability positively influenced CCE, team interaction positively moderated the relationships between team knowledge and CCE, and project complexity negatively moderated the relationships between team knowledge and CCE, and the relationships between knowledge integration capability and CCE in both samples. Project complexity positively moderated the relationships between achievement motivation and CCE in the model of industry project teams. An attempt is also made to understand the antecedents of CCE in different project complexity.

在持續創新的需求下，跨公司合作已成為企業整合應用知識，創新求變的重要策略。本文融合知識基礎觀點和組織學習觀點，指出跨公司合作所帶來的組織創新績效，係因合作夥伴知識整合的結果。因此研究的目的除了要實證知識整合與組織創新績效的關係外，主要在發展一個理論架構，說明影響跨公司合作創新的因素，及這些因素之間的關係。在研究設計上，本文係以我國高科技產業、資訊服務業及金融服務業做為問卷調查的對象，將所收集的資料透過探索性分析與驗證性分析兩階段檢定本文所提出之量測模式與研究假說，結果得到下列結論： 1. 跨公司合作為企業所帶來的創新績效，可以用知識整合的觀點來解釋，當企業知識整合能力越好，跨公司合作創新績效會越好。 2. 知識整合能力受到企業知識吸收能力的影響，吸收能力係企業先前知識的蓄積量，以及應用這些知識的能力之綜合。 3. 知識整合能力亦受到企業與夥伴合作的能力之影響，合作能力包括企業與夥伴建立信任關係，以及溝通、協調的能力。 4. 知識特質受知識整合機制的中介而影響創新績效，跨公司合作所帶來組織的創新績效，主要不受合作所牽涉知識之外顯╱內隱與複雜性特質的影響，必須應知識特質的不同而採取適當的整合機制後，才能因知識整合而產生創新績效。 5. 吸收能力、合作能力與知識整合機制是相互影響的因素，三者形成企業知識整合創新能力的主要構面，是企業追求跨公司合作創新必須重視的要素。 / Inter-firm collaboration has been an important strategy for firms to integrate and apply knowledge among their partners in order to obtain innovation performance under uncertainty circumstances. This study combining the knowledge based view and the organizational learning perspective, considers the innovation performance improvement as the result of knowledge integration. Besides examining the relation between innovation performance and knowledge integration, the purpose of this study is to find the factors influencing inter-firm collaboration performance and the relationships among these factors. The data collecting from Taiwan’s high-tech, information service and finance industry were used in the exploratory and confirmatory phases to evaluate the instruments and test the hypotheses. The conclusions are listed as below: 1. The innovation performance gaining from inter-firm collaboration can be considered as the result of knowledge integration. While the knowledge integration capability of a firm is better, the firm’s innovation performance in inter-firm collaborations will be better too. 2. The knowledge integration capability of a firm is influenced by the absorptive capacity of the firm. And the firm’s absorptive capacity derives from the firm’s prior knowledge accumulation and the capability to apply their knowledge. 3. The knowledge integration capability of a firm is also influenced by their cooperative competency. The cooperative competency is composed of three interrelated facets: trust, communication and coordination. 4. Firm’s innovation performance in an inter-firm collaboration doesn’t directly influenced by the explicit/tacit and complexity characteristics of the knowledge which appeared in the collaboration. To produce innovation performance, knowledge with different characteristics should be integrated by suitable integration mechanisms. 5. Absorptive capacity, corporative competency and knowledge integration mechanism construct firm’s “knowledge integration and innovation capability”, which is important to firm’s innovation performance in inter-firm collaborations.