Can Big Data Benefits Bridge Between Data Driven Supply Chain Orientation and Financial Performance? Evidence from Manufacturing Sector of Thailand

With the digitalization of industry, many of business operations depend upon the data which either support them or reject them due to versatile reasons. Such data has been managing through big data analytics now which has diverse benefits ranged from transaction to strategic benefits. However, their implication on financial performance of manufacturing firms in Thailand has stayed as grey area in literature. This study has aimed to analyze the impact of data driven supply chain orientation on financial performance in manufacturing firms of Thailand in mediating role of transactional, transformational, strategic and informational benefits of big data. Almost 42 manufacturing organizations have been surveyed in this regard which were currently engaged in big data operations and data has been collected from their employees through questionnaire. SEM and CFA were run to analyze the data to analyze hypotheses and model fitness respectively. Results have depicted that data driven supply chain significantly enhances financial performance through big data benefits and also in its direct path too. This study can help manufacturing firms in Asia to incorporate big data analytics in their manufacturing systems to ensure good financial health

The Supply Chain Integration, and Product Modularity as Antecedents of the Market Valuation of Firms in Thai Solar Industry

The main purpose of the current study is to examine the supply chain integration, and product modularity as antecedents of the market valuation. The study is carried out on the supply chain of the solar industry of Thailand. The reason why the solar industry is chosen is that the greater emphasis on rising oil prices, global regulatory environment, and climate change resulted in increased adoption of clean technology processes. Over the next few decades, the solar energy would be considered as an important technology stemming from fast-paced innovation and huge technological investment. Being an infant industry, the solar energy supply chain is evolving rapidly with the entrance of new as well as already established firms. The study has used the SEM-PLS to analyses the data gathered from the firms in the solar industry. The findings of the study argue that the aggregated product modularity affects the supply chain flexibility and supply chain’s ability of delivering product variety, across the supply chain. Such aggregated product modularity, being an important SC construct, shows the product modularity of supply chain as a whole

The Mediating Role of Intention to Adopt in the Relationship between the Information Processing Requirements and Information Processing Capacity: The Application of Cloud Computing in Thai Auto Supply Chain

The main purpose of this study is to examine the relationship between information processing requirements and information processing capacity. Additionally, the intention to adopt is examined the mediating role of intention to adopt in the relationship between information processing requirements and information processing capacity in the Thai automobile industry is examined. The study has broached the conceptual model as an application of cloud computing in the Thai automobile supply chain. The SEM-PLS is adopted to examine the model. The Thai automobile industry is taken as the sample of the study. The study is of the view that the industry of cloud computing is growing rapidly to support the supply chain activities. However, there is lack of academic research on analyzing the application of cloud computing in managing supply chain theoretically. It has been revealed through literature review that the focus of researches is on identifying the applications and architectures of cloud environment. Moreover, the study proposes different limitations and opportunities related to cloud computing. The adoption of cloud computing by an organization has been examined theoretically in this research through use of information processing view and classical diffusion theory. Practitioners and academicians are given an understanding of the circumstances, which influence the firm to adopt cloud-computing technology within its supply chain