An Empirical Study on Enterprise Information Systems for Smart Manufacturing in Taiwan

Enterprise information systems (EIS) provide as a platform that enables organizations to integrate and coordinate their business processes on a robust foundation. An EIS is used in conjunction with customer relationship management and supply chain management to automate business processes and is currently essential to enterprise; meanwhile, the EIS related issues in smart manufacturing are also increasing accompanying with the progress of Industry 4.0 as well. This study aims to explore the determinants of EIS adoption in smart manufacturing, therefore a research model combining with TOE and TTF is developed to exam the correlation and importance of EIS implementations to smart manufacturing. The study involved 77 samples that were collected from the enterprises are engaging smart manufacturing in Taiwan. Structural equation modeling was employed for analysis. The preliminary results first confirmed our proposed research model is appropriate for exploring the issues about EIS and smart manufacturing and also indicated that all the TOE related determinants have positive effect of EIS adoption in smart manufacturing. The research findings provide a comprehensively view to explore the relevant issues and further direction to EIS in smart manufacturing, and it would be useful to enterprise systems implementation and decision-making for smart manufacturing. The paper concludes with implications and suggestions for future research.

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