The purpose of the research is to verify how task characteristics for business and technology characteristics, economic feasibility, technology readiness, organizational factors, environmental factors of cloud computing affect the performance of cloud computing adoption through Fit and Viability. The research aims to verify the relationship among the success factors for adopting cloud computing based on the Fit-Viability model. Respondents who work for IT companies which is using cloud computing in South Korea were chosen. The data was analyzed by the structural equating model. As a result, Task characteristics and Technology characteristics affected Fit in a positive manner, while Technology readiness, Organizational factors and Environmental factors also positively impacted Viability. Fit and Viability both affected the successful adoption of cloud equally. In particular, Environmental factors were proven to have the biggest impacts on Viability, and affected highly indirect impact on the Performance of cloud computing adoption through Viability. Entering the era of the fourth industrial revolution, corporations have established digital transformation strategies to secure a competitive edge while growing continuously, and are also carrying out various digital transformation initiatives. For the success of adoption of foundational technologies, they need to understand not only the decision-making factors of adopting cloud computing, but also the success factors of adopting cloud computing.

Abstract
 1. Introduction
 2. Literature Review
  2.1. Cloud Computing Adoption and Success in Organization
  2.2. Task-Technology Fit on Cloud Computing
  2.3. The Effective Factors and Viability on Cloud Computing
  2.4. Fit and Viability on Performance of Cloud Computing Adoption
 3. Methodology
  3.1. Research Model
  3.2. Variables and Analytics Approach
 4. Results
  4.1. Demographics of Respondent
  4.2. Verification of Normality
  4.3. Analysis Results of Reliability and Validity
  4.4. Analysis Results of Structural Model
  4.5. Mediated Effect
 5. Conclusions
 References

• Seok-Keun Yoo(Seoul Business School)
• Bo-Young Kim(Seoul Business School) Corresponding Author