Abstract
The fourth industrial revolution, also known as Industry 4.0 drives industrial automation of plant's processes to enhance productivity. The fast pace growth of technology and maturity of plant's processing technology have actually triggered the fourth industrial revolution. Advanced systems under Industry 4.0 architecture comprises of hardware, software, electronics, machines and equipments, all working together in a synchronised manner to meet the common organisation goals. Industry 4.0 affirms the ability to build dynamic capabilities in an organisation and beat market competition. The use of Industry 4.0 tool application is complex and requires additional knowledge and special skill sets, thus lowering the interest of companies towards adoption of Industry 4.0 projects. There is hardly any evidence in existing literature on the technology maturity level of Industry 4.0 tool. Also there is limited literature on smart factory task and Industry 4.0 technology fit. The current study aims to eliminate the void in existing literature by integrating Industry 4.0 Technology Acceptance Model (TAM) and Industry 4.0 Task-Technology Fit (TTF) model. Using samples drawn from South African companies the theoretical framework can further be statistically validated and new insights can be generated.
Original language | English |
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Pages (from-to) | 2169-2174 |
Number of pages | 6 |
Journal | Proceedings of the International Conference on Industrial Engineering and Operations Management |
Volume | 2018 |
Issue number | NOV |
Publication status | Published - 2018 |
Event | Proceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018 - Duration: 29 Oct 2018 → 1 Nov 2018 |
Keywords
- Industry 4.0
- South Africa
- Task-Technology fit model
- Technology acceptance model
- Tool
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Control and Systems Engineering
- Industrial and Manufacturing Engineering