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DC Field | Value | Language |
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dc.contributor.author | Anurak Sawangwong | en_US |
dc.contributor.author | Poti Chaopaisarn | en_US |
dc.date.accessioned | 2022-10-16T07:08:21Z | - |
dc.date.available | 2022-10-16T07:08:21Z | - |
dc.date.issued | 2021-01-01 | en_US |
dc.identifier.issn | 0368492X | en_US |
dc.identifier.other | 2-s2.0-85120695925 | en_US |
dc.identifier.other | 10.1108/K-07-2021-0555 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120695925&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/76321 | - |
dc.description.abstract | Purpose: The purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations. Design/methodology/approach: An integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22. Findings: EFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth. Originality/value: This study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.subject | Mathematics | en_US |
dc.subject | Social Sciences | en_US |
dc.title | The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Kybernetes | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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