Exploring and Developing an Industrial Automation Acceptance Model in the Manufacturing Sector Towards Adoption of Industry4.0

被引:5
作者
Abu Bakar, Muhammad Ramzul [1 ]
Razali, Noor Afiza Mat [1 ]
Wook, Muslihah [1 ]
Ismail, Mohd Nazri [1 ]
Sem-Bok, Tengku Mohd Tengku [1 ]
机构
[1] Natl Def Univ Malaysia, Fac Def Sci & Technol, Kuala Lumpur, Malaysia
来源
MANUFACTURING TECHNOLOGY | 2021年 / 21卷 / 04期
关键词
Industrial automation; Manufacturing; TAM; TRI; EFA; TECHNOLOGY ACCEPTANCE; PERCEIVED USEFULNESS; BIG DATA; READINESS; CONTEXT; COLLABORATION; PERSPECTIVE; FUTURE;
D O I
10.21062/mft.2021.055
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Technological progress in the 21st century has catalysed the industrial revolution (Industry 4.0) following the development of multiple new industrial automation technologies in the manufacturing sector. Regardless, past research indicated the unsuccessful attempts in adopting Industry 4.0 technologies among manufacturing organisations. Undoubtedly, the operationalisation of Industry 4.0 in manufacturing proved challenging as organisations were required to evaluate various aspects for effective implementation. Thus, a sound understanding of constructs concerning employees' acceptance and readiness levels towards novel automation technologies was required. Hence, this study aims to explore, develop, and validate the suggested conceptual framework by integrating the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) with Exploratory Factor Analysis (EFA). The EFA process was the first crucial step in ensuring the internal consistency and stability of the instrument across the sampling population. Consequently, the research outcome potentially enabled the manufacturing sector to identify and comprehend the key determinants in designing industrial automation technologies. This study also contributed to knowledge on technology acceptance by synthesizing TAM 3 and TRI 2.0 theories, thus constructing a new TAM in manufacturing.
引用
收藏
页码:434 / 446
页数:13
相关论文
共 70 条
  • [41] Technology acceptance model: a literature review from 1986 to 2013
    Marangunic, Nikola
    Granic, Andrina
    [J]. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2015, 14 (01) : 81 - 95
  • [42] What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability
    Mueller, Julian Marius
    Kiel, Daniel
    Voigt, Kai-Ingo
    [J]. SUSTAINABILITY, 2018, 10 (01)
  • [43] Industrie 4.0-From the perspective of applied research
    Neugebauer, Reimund
    Hippmann, Sophie
    Leis, Miriam
    Landherr, Martin
    [J]. FACTORIES OF THE FUTURE IN THE DIGITAL ENVIRONMENT, 2016, 57 : 2 - 7
  • [44] Opitz N., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P1593, DOI 10.1109/HICSS.2012.557
  • [45] An Updated and Streamlined Technology Readiness Index: TRI 2.0
    Parasuraman, A.
    Colby, Charles L.
    [J]. JOURNAL OF SERVICE RESEARCH, 2015, 18 (01) : 59 - 74
  • [46] Parasuraman A., 2000, J SERV RES-US, V2, P307, DOI [10.1177/109467050024001, DOI 10.1177/109467050024001]
  • [47] Parveen F., 2008, International Review of Business Research Papers, V4, P1
  • [48] PWC P., 2016, 2016 GLOBAL IND 4 0
  • [49] The effect of positive TRI traits on centennials adoption of try-on technology in the context of E-fashion retailing
    Qasem, Zainah
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2021, 56
  • [50] Rane S.B., 2019, BENCHMARKING, V38, P169