Effects of Manufacturing and Non-Manufacturing Occupations on Smart Manufacturing Technology Acceptance – UTAUT2 Model Perspective
Sung-Yoon Chei1, Yen-yooYou2, Keo Young Song3, Ji Sung Kim4, Mun-Seok Cho5
1Sung-Yoon Chei, Department of Knowledge Service & Consulting, Hansung University, Seoul, Korea, East Asian.
2Yen-yoo You, Department of Knowledge Service & Consulting, Hansung University, Seoul, Korea, East Asian.
3Keo Young Song, Department of Knowledge Service & Consulting, Hansung University, Seoul, Korea, East Asian.
4Ji Sung Kim, Department of College of Social Sciences, Hansung University, Seoul, Korea, East Asian.
5Mun-Seok Cho, Department of College of Social Sciences, Hansung University, Seoul, Korea, East Asian.
Manuscript received on 08 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 22 June 2019 | PP: 65-70 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H10130688S219/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The model theory of TAM and UTAUT1, UTAUT2 identified performance acceptance, effort expectancy, facilitating conditions, social influence and price value, hedonic motivation and habit factor as factors of technology acceptance. Methods/Statistical analysis: In order to measure the influence of the technology acceptance factor of smart manufacturing technology emerging from the 4th industrial revolution, we constructed four measurement items and created a total of 50 questionnaires. Survey subjects were SME workers, managers, managers and Smart Convergence Researchers across Korea. Findings: The results of the study show that the expectation, facilitation requirements, hedonic motivation, price value accept the technology through hedonic motivation and price value. Also, there was no difference in accepting technology according to manufacturing or non-manufacturing occupation group. For smart manufacturing technology, hedonic motivation and cost saving were effective and there was no difference according to occupation group. Improvements/Applications: This study categorizes technology acceptance factors of smart manufacturing technology related to the 4th Industrial Revolution and interprets it as helpful to identify effective factors to accommodate more advanced technology in the future.
Keywords: Technology Acceptance Factors, TAM, UTAUT, Fourth Industrial Revolution, Smart Manufacturing Technology, Moderate Effect
Scope of the Article: Advanced Manufacturing Technologies