Developing a framework for Industry 3.5 to strengthen manufacturer performance

被引：5
|
作者：
Tsao, Yu-Chung [1 ,2 ,3 ,4 ]
Barus, Felix Arril Simbara [1 ]
Ho, Chien-Wei [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Artificial Intelligence Operat Management Res Ctr, Taipei, Taiwan
[3] Asia Univ, Dept Business Adm, Taichung, Taiwan
[4] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
来源：
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS | 2024年 / 27卷 / 02期
关键词：
Industry; 3.5; digital decision-making; digital transformation; total resource management; manufacturer performance; manufacturing; TOTAL QUALITY MANAGEMENT; DIGITAL TRANSFORMATION; COMPETITIVE ADVANTAGE; FIT INDEXES; MODELS; CAPABILITIES; RELIABILITY; INTEGRATION; INNOVATION; RESOURCES;
D O I：
10.1080/13675567.2021.1959537
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
As no previous empirical research has focused on the domain of Industry 3.5 in terms of structural equation modelling development, this study aims to investigate the phenomenon of fit among several Industry 3.5 indicators and manufacturer performance. The concept of Industry 3.5 is relatively new and mainly involves creating a transition from Industry 3.0 to 4.0. In particular, this study analyses the several causal indicators of Industry 3.5 on manufacturer performance using covariance-based structural equation modelling. The manufacturer performance is evaluated from the extent of opportunities obtained by businesses, which is investigated using three indicators: digital decision-making, digital transformation, and total resource management. The results indicate that these are the key driving factors that determine the manufacturing performance in Industry 3.5.
引用
收藏
页码：221 / 242
页数：22
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