Overall Success Factors Affecting the Performances of Hybrid Cloud ERP: A Case Study of Automobile Industries in Thailand


  • Itthiphol Eampoonga Technology of Information System Management Division, Faculty of Engineering, Mahidol University, NakhonPathom, Thailand
  • Adisorn Leelasantitham Technology of Information System Management Division, Faculty of Engineering, Mahidol University, NakhonPathom, Thailand




Hybrid cloud, ERP, success factors, automobile industries, performances


The hybrid cloud ERP system is widely used in automobile companies in Thailand. It is a popular and effective strategic tool that aids in boosting organization’s competitiveness. However, because of their complexity, high risk, high resource requirements, and high investment costs, ERP projects still have a significant failure rate. It is widely acknowledged by academics and practitioners alike to be an extremely challenging endeavour. This study proposes a conceptual paradigm for postmodern ERP implementation across the entire life cycle. Mixed methodologies for this model’s theoretical development included case study observation, literature review, semi-structured interviews with ten IT experts and ERP consultants, and online questionnaires. Based on information gathered from 455 system users from 114 automobile industries sector, it was analysed by using Structural Equation Modelling (SEM). For data analysis, the partial least squares (PLS) method was employed. Out of the eighteen (18) hypotheses, fifteen (15) were supported by the PLS-SEM results. The conceptual model from the study that was presented can be put to use or helpful in the organization’s management, or project managers can utilize it as a framework and direction for hybrid cloud ERP implementation. The findings of the study can also be used to create a conceptual framework for the actual use of ERP systems for automobile industry, such as the incorporation of blockchain and postmodern ERP systems in many sectors of business. There is discussion of the findings’ implications for practical and research, and potential study areas are proposed.


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Author Biographies

Itthiphol Eampoonga, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, NakhonPathom, Thailand

Itthiphol Eampoonga is a Ph.D. student of Information Technology Management, Faculty of Engineer, Mahidol University, Thailand. He received the B.B.A. (Business Computer) from Mahasarakham University, Thailand in 2002 and M.Sc. (Information Technology) from School of Information Technology (SIT), King Mongkut’s University of Technology Thonburi (KMUTT), Thailand in 2012. He used to work as a senior IT infrastructure engineer at Thai Namthip Company Limited (Coca Cola Partner) in Bangkok, Thailand during 2005–2013. He is currently a Lecturer and Researcher and Head of Program in Digital Business and Information Systems, Mahasarakham Business School (MBS) at Mahasarakham University, Thailand. His current research interests are IT governance, enterprise resource planning, blockchain technology, AI, big data analytics and cloud computing technology.

Adisorn Leelasantitham, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, NakhonPathom, Thailand

Adisorn Leelasantitham (Ph.D.) received the B.Eng. degree in Electronics and Telecommunications and the M.Eng. degree in Electrical Engineering from King Mongkut’s University of Technology Thonburi (KMUTT), Thailand, in 1997 and 1999, respectively. He received his Ph.D. degree in Electrical Engineering from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand, in 2005. He is currently the Associate Professor in Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand. His research interests include applications of blockchain technology, conceptual models and frameworks for IT management, disruptive innovation, image processing, AI, neural networks, machine learning, IoT platforms, data analytics, chaos systems, and healthcare IT. He is a member of the IEEE.


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How to Cite

Eampoonga, I. ., & Leelasantitham, A. . (2023). Overall Success Factors Affecting the Performances of Hybrid Cloud ERP: A Case Study of Automobile Industries in Thailand. Journal of Mobile Multimedia, 19(05), 1153–1194. https://doi.org/10.13052/jmm1550-4646.1953