企業仰賴商業軟體協助公司日常營運，是電子化企業最明顯的特徵之一。然而，使用這些軟體時，卻存在著相當嚴重的問題，例如預算超支、導入延誤以及不符商業的需求，因此如何讓企業主能更簡單的使用商業軟體就變得相當有價值。隨著電腦硬體技術與網路基礎建設日愈成熟，使用者對於電腦的使用習慣也漸漸改變，雲端科技變成企業新的解決方案，軟體即服務(Software as a Service, SaaS)開始受到了企業主的關注。環顧SaaS市場發展與預測，許多國際大廠(Google, Oracle, SAP, HP, Microsoft, salesforce)紛紛推出各式的雲端化產品以取代傳統的軟體使用方式，但是檢視這些企業的成功採用案例卻發現，沒有任何台灣企業採用。這樣的現象令人憂心，是否台灣企業已經跟不上全球化企業競爭的腳步，對於新科技已經陌生，亦或是台灣企業對於雲端科技抱有獨特的看法。本研究透過調查具採用資訊系統經驗的台灣企業，將SaaS常被討論之特性，整理為利益性、工作支援性、風險性與整合性四大變數，每一變數均包含數個重要因素，藉以這樣的問卷設計調查企業採用意願，希望能清楚瞭解台灣企業對於SaaS的真實看法。在調查企業之真實看法後，期望能透過模型的設計，增加企業的採用意願，對台灣企業採用不佳的現況提出適當解釋。因此本研究建立調節模型瞭解四個變數對採用意願的影響外，也能檢視四個變數間的交互作用與影響力，並透過中介模型調整以調整企業的採用意願。這樣的研究設計除了可以進一步的檢視台灣企業對於採用意願的變化，也能深入瞭解SaaS採用不佳的可能因素。研究結果顯示台灣企業對於SaaS的採用意願，在透過本研究的調節與中介變數調整後，發現企業的採用意願有明顯的改善。首先，利益與工作支援性能強化採用意願，而風險與整合問題會降低採用意願。第二，風險會干擾利益與工作支援對於採用意願的關係。第三，透過利益與工作支援性能中介整合與採用意願的關係。這樣的結論解釋了現在SaaS推廣時碰到的瓶頸，也就是常常將利益、工作支援、整合與風險變數放在同一階層考量。根據本研究結果顯示，未來在推廣SaaS時，應該以中介模型來改善採用的意願外，還需要針對使用者的使用習慣進行安全訓練。

Firms rely on application software to help with their daily operations, which is one of the most obvious characteristics of e-business. However, such firms have encountered some serious problems while using such software, such as budget overruns, implement delays and poor fit with business requirements. Therefore, it is valuable to simplify business software for business owners. As computer hardware technology and network infrastructure have matured and computer usage has evolved, Cloud Technology has become a new solution, and software as a service (SaaS) has thus become a concern of business owners. With regard to the development and forecast of the SaaS market, many international firms (Google, Oracle, SAP, HP, Microsoft, Salesforce) have also introduced a variety of Cloud-based products to replace the traditional use of software. However, when reviewing some successful cases of these firms, we found that no Taiwanese firms have adopted such products. This kind of phenomenon is worrisome regardless of whether it is because Taiwanese firms have fallen behind the global business competition, are discouraged from adopting new technology, or have a distinct view on Cloud Technology. This research examines Taiwanese firms’ actual points of view on SaaS through surveying firms experienced in information systems about the characteristics of SaaS to determine the intention to adopt. This research integrates the characteristics of SaaS and discusses four variables: Benefit, Job Support, Risk and Integration. Each variable includes several important factors. In this research, we hope to understand the point of view of Taiwanese firms with respect to SaaS. After conducting the surveys, we expect to encourage firms to adopt SaaS through its variable design and to provide an appropriate explanation of why Taiwanese firms have a poor adoption of SaaS. Therefore, this research builds up a moderator model not only to study the influence of the four variables on the intention to adopt but also to analyze the interactions and influences among the four variables. It also models a change in the intention of firms to adopt SaaS by adjusting the mediator model. This kind of research design can enhance the modeling of the change of intention of Taiwanese firms to adopt SaaS and denote the possible factors behind poor adoption of SaaS. The results show that the intention of Taiwanese firms to adopt SaaS obviously improves after adjusting the moderator and mediator variables. First, Benefit and Job Support can enhance the intention of adoption, yet Risk and Integration Problem will reduce the intention of adoption. Second, Risk will interfere the relationship of Benefit and Job Support to the intention of adoption. Third, through Benefit and Job Support can mediate the relationship between Integration and intention of adoption. This kind of result explains the bottleneck we faced when promoting SaaS currently, that is, we usually consider Benefit, Job Support, Integration and Risk variables in the same level. Base on the result of this research, we should not only improve the intention of adoption by mediation model, but also have security training against users’ using habits during promoting SaaS in the future.

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