Analysis of the factors affecting the Industry 4.0 tendency with the structural equation model and an application
| Autor: | Onur Canpolat, Harun Taşkın, Cem Özkurt, Alper Kiraz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021103 operations research
General Computer Science Industry 4.0 business.industry media_common.quotation_subject 0211 other engineering and technologies General Engineering Organizational culture Information technology 02 engineering and technology Business model Competition (economics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Customer satisfaction Quality (business) Business Market share Industrial organization media_common |
| Zdroj: | Computers & Industrial Engineering. 150:106911 |
| ISSN: | 0360-8352 |
| DOI: | 10.1016/j.cie.2020.106911 |
| Popis: | Technology, the development of which has gained significant momentum recently, has caused critical innovations in the production sector. Having a lot of various components, Industry 4.0, also known as the fourth industrial revolution, has turned into a concept on which enterprises have started to concentrate their attention to adapt to difficult conditions of competition. Industry 4.0 represents a phenomenon, which has the potential to considerably influence the performance of businesses with a lot of superiorities, including its cost-effectiveness, high speed, effectiveness and quality, automated and communicating systems, and considerably simpler processes. Furthermore, businesses adapting to Industry 4.0 can keep up with the age, and they also have the possibility to increase their market shares under competitive conditions and improve current customer satisfaction. In the present paper, the criteria influencing the Industry 4.0 tendency were revealed, and the analysis of the impacts of the above-mentioned criteria on Industry 4.0 was performed using a structural equation model (SEM). In the model, nine criteria (factors) were utilized, including “business models, products, and services,” “market and customer access,” “value chains and processes,” “IT (Information Technology) architecture,” “compliance, risk, security,” “organization and corporate culture,” “leadership, strategy, culture, management,” “IoT (Internet of things) data protection, processing, and team expertise,” and “data integration for analysis.” Reliability values for all variables of the model were determined to be above 0.6. In addition, it was determined that all 9 criteria had a positive effect on Industry 4.0, 6 of which were significantly effective. The criterion with the most importance degree was determined as market and customer access. It is believed that this research may guide enterprises on Industry 4.0. |
| Databáze: | OpenAIRE |
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