服務科學的最終目標是在於整合各種知識以促進服務的創新，由於任何產業都會有服務行為產生，因此服務創新對於企業家或是企業管?人員和決策者相應成為一個非常重要的課題。然而，協同商務已成為企業營運的一種新的技術模式，透過網際網路的共享、共同創作的溝通平台整合的協同技術，學者的研究指出，協同商務技術使企業經營不再侷限於本身資源，而是藉由資訊傳遞，流程整合和夥伴共同合作，以取得企業的競爭優勢。對於台灣產業而言，服務再創新及協同商務已是相當重要的議題。因此，本?文採取二個實證研究?探討如何發展服務科學之協同模式。本論文的研究一，主要是在探討協同服務科學下的冰水主機評選模式，研究目的是為了找出在協同服務科學下，影響冰水主機的關鍵因素。本研究採用層級分析法在計算權重時，多準則評估的基礎上，採用因果灰色關聯分析的進行排序系統的性能。本研究採用液晶顯示器冰水主機在台灣的傳統強項和弱點評估通過比較來衡量模型的可靠性和有效性，企業應與合作的供應商和應用服務科學的管理理念，以提高性能和減少能源浪費。本論文的研究二，主要是探討企業使用協同雲端技術系統之研究，研究目的是為了找出在協同雲端技術下的最佳系統。本研究旨在探討新興的雲服務系統，分析未來的發展趨勢，這將影響和灰色關聯理論，強弱危機綜合分析法調查結果的情況下，公司導入，以提升晶圓代工產業競爭力的優勢業界參考代工合作。最後，透過以上兩個個案研究，本文建構出一套協同服務模型的架構，以供後續學者研究參考。The goal of service science is to integrate a variety of knowledge in order to promote service innovation. Every industry needs a service behavior. Service innovation has accordingly become a very important issue for entrepreneurs, corporate executives and decision makers. However, collaborative commerce has become a new mode of business operations. Through sharing over the Internet, co-creators of communication platforms integrate collaborative technologies. The scholars have pointed out that in collaborative commerce a business is no longer confined to its own resources. Through the passing of information and process integration, partners work together in order to obtain greater enterprise competitive advantage. For Taiwan's industry, service is new and collaborative commerce is a very important issue. This paper uses two empirical studies to explore how a synergistic service science mode is developed.The first study attempts to explore a collaborative service science chiller selection model. This study identifies the key factors for chiller system collaborative service design. The analytical hierarchy process (AHP) is applied in calculating the weights. The cause–effect grey relational analysis (CEGRA) is used to rank system performance based on multiple criteria evaluation. This study used the Thin-film-transistor liquid-crystal display (TFT-LCD) chiller in Taiwan to measure the model’s reliability and validity through comparison with the traditional strengths and weaknesses assessment. Businesses should cooperate with collaborative vendors and apply the service science management concept to improve performance and reduce energy waste.The second study attempts to explore enterprises using the collaborative cloud technology system. The purpose of this study was to identify the best collaborative cloud technology system. This study investigated the emerging cloud services systems, analyzes future trends for foundry collaboration that will impact the industry. Gray relational theory (GRA) combined the Strengths, weaknesses, opportunities and threats analysis (SWOT) survey results are imported in the case company to enhance foundry industry competitiveness. Finally, through two case studies, the paper construct the framework of a collaborative service model for subsequent scholars’ reference.
