The Digital Transformation Factors Affected the Operation With Digital System in the Garment Manufacturing Industry in China
Article Sidebar
Main Article Content
บทคัดย่อ
Digitalization is boosting the economy and society, but there's a lack of empirical research on the digital transformation of China's garment manufacturing industry. As a result, the purpose of this study aimed to determine the factors driving the digital transformation of China's garment manufacturing industry. In this study digital transformation was proposed to be affected by external factors, operation with digital system, organizational and management factors, and digital transformation of organization. The participants consisted of 260 executives and employees who were analyzed for valid and qualified respondents. The research instrument was a questionnaire. A second order confirmatory factor analysis was conducted to examine the proposed model. The findings revealed that there were seventeen factors which were significant at the 0.01 level. On the other hand, four factors were significant at the 0.05 level. Additionally, the correlation matrix analysis of 21 observed variables on Chinese garment manufacturing’ digital transformation revealed a level of statistical significance of .05, and KMO was 0.697. The regression from diagram is analyzed in Null Plot. Thus, it can be summarized that the variance of each latent variables in the correlation matrix is acceptable to conduct a second order confirmatory factor analysis. Furthermore, the findings revealed that a set of statistics indicated that the proposed model showed a good fit of empirical date when chi-square = 421.676, degree of freedom = 174, 2 / df = 2.42, GFI = 0.90, AGFI = 0.86, NFI = 0.92, CFI = 0.97, RMR = 0.46, RMSEA = 0.068. Therefore, the proposed model is fitted to empirical data according to aforementioned goodness of fit indices. It can be summarized that there are four measurements that significantly affect the digital transformation of China's garment manufacturing industry including external factors, operation with digital system, organizational and management factors, and digital transformation of organization.
Article Details
References
Beaton, D. E., Bombardier, C., Guillemin, F., and Ferraz, M. B. (2000). Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. SPINE. 25 (24), 3186 –3191.
Belhadi, A., Kamble, S. S., Venkatesh, M., Jabbour, C. J. C., and Benkhati, I. (2022). Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view. International Journal of Production Economics. 249 (2022), 1-20. https://doi.org/10.1016/j.ijpe.2022.108516
Chang, L. (2013). Influencing Factors on Creative Tourists’ Revisiting Intentions: The Roles of Motivation, Experience and Perceived Value [Unpublished Doctoral dissertation]. Clemson University, South Carolina.
Chi, G. (2005). A study of Developing Destination Loyalty Model [Unpublished Doctoral Dissertation]. University of Oklahoma, United States.
Deloitte. (2017). 2017 Deloitte Global Human Capital Trends. https://www2.deloitte.com/ content/dam/Deloitte/global/Documents/About-Deloitte/central-europe/ce-global human-capital-trends.pdf
Deloitte. (2019). 2019 Deloitte Global Human Capital Trends. https://www2.deloitte.com /ro/en/pages/human-capital/articles/2019-deloitte-global-human-capital-trends.html
Dong, L., Tang, S. Y., and Tomlin, B. (2018). Production Chain Disruptions: Inventory, Preparedness, and Insurance. Production and Operations Management. 27 (7), 1251-1270. https://doi.org/10.1111/poms.12866
Ebel, R. L. and Frisbie, D. A. (1986). Essentials of education measurement. Prentice Hall.
Gonzalo, A., Harreis, H., and Altable, H. C. (2020). Fashion’s digital transformation: Now or never. https://www.mckinsey.com/industries/retail/our-insights/fashions-digital-trans formation-now-or-never
Guxian, M. (2019). Research on the digital promotion path of the textile and garment industry under the background of new manufacturing. Industry and Technology Forum. 18 (18), 66-67.
Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Prentice Hall.
Hinkin, T. R., Tracey, J. B. and Enz, C. A. (1997). Scale construction: Developing reliable and valid measurement instruments. Journal of Hospitality & Tourism Research. 21 (1), 100-120. DOI:10.1177/109634809702100108
Holmstrom, J. (2022). From AI to digital transformation: The AI readiness framework. Business Horizons. 65 (3), 329-339. https://doi.org/10.1016/j.bushor.2021.03.006
Hsu, C. and Lam, T. (2003). Mainland Chinese Travelers' Motivations and Barriers of Visiting Hong Kong. Journal of Academy of Business and Economics. 2 (1), 60-67.
Jian, P., Haoqi, Y., and Jinjian, Y. (2021). Research on the Necessity and Path of Digital Economy Boosting the Digital Transformation of the Apparel Industry. Modernization of Shopping Malls. (05), 1-4.
Kim, H. L., (2015). An Examination of Salient Dimensions of Senior Tourist Behavior: Relationships among Personal Values, Travel Constraints, Travel Motivation, and Quality of Life (QoL) [Unpublished Doctoral dissertation]. The Virginia Polytechnic Institute and State University, Blackburg, United States.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press.
Kunduru, A. R. (2023). Cloud BPM Application (Appian) Robotic Process Automation Capabilities. Asian Journal of Research in Computer Science. 16 (3), 267-280. https://doi.org/10.9734/ajrcos/2023/v16i3361
Mai, J. and Yao, L. (2023). Research on the Influence of Digital Transformation on the Sustainable Development of China's Textile and Apparel Listed Enterprises. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems. 10 (2), 1-8. http://dx.doi.org/10.4108/eai.9-12-2022.2327632
Mizark, F. (2023). Driving innovation and competitiveness through digital ecosystems: a case-based exploration. Journal of Social Sciences. 11 (Special issue), 1-15. https://doi.org/ 10.52122/nisantasisbd.1346145
Mohammadi, S., Heidari, A., and Navkhsi, J. (2023). Proposing a Framework for the Digital Transformation Maturity of Electronic Sports Businesses in Developing Countries. Sustainability. 15 (12354), 1-18. https://doi.org/10.3390/su151612354
Osmundsen, K., Iden, J., & Bygstad, B. (2018). Digital Transformation: Drivers, Success Factors, and Implications. https://aisel.aisnet.org/cgi/viewcontentcgi?article=1004& context=mcis2018
Sabrina, P. N., Maspupah, A., and Umbara, F. R. (2019). E-Supply Chain Management Model for Garment & Textile Industry with Limitation of Technological Capabilities. Materials Science and Engineering, 2019, 072003.
Santarsiero, F., Lerro, A., Carlucci, D. and Schiuma, G. (2022). Modelling and managing innovation lab as catalyst of digital transformation: theoretical and empirical evidence. Measuring Business Excellence. 26 (1), 81-92. https://doi.org/10.1108/MBE-11-2020-0152
Scott, S. and Orlikowski, W. (2022). The Digital Undertow: How the Corollary Effects of Digital Transformation Affect Industry Standards. Information Systems Research. 33 (1), 311-336. https://doi.org/10.1287/isre.2021.1056
Songyuan, B. and Genqin, L. (2021). Thoughts on the digital transformation of traditional clothing enterprises: Taking Jiangsu Y Group Co., Ltd. as an example. Investment andEntrepreneurship. 32 (3), 38-40.
Wang, Y. and Su, X. (2021). Driving factors of digital transformation for manufacturing enterprises: a multi-case study from China. International Journal of Technology Management. 87 (2-4), 229-253. https://doi.org/10.1504/IJTM.2021.120932
Yu, J., Wang, J., and Moon, T. (2022). Influence of Digital Transformation Capability on Operational Performance. Sustainability. 14 (1), 1-20. https://doi.org/10.3390/su1413 7909
Yuxin, C., Fangbin, Q., and Yunfeng, S. (2021). The Integrated Development of Digital Economy and China's Textile Manufacturing Industry: Based on the Experience ofShaoxing, Zhejiang Province. Academic Journal of Business & Management. 3 (4), 10-14. https://doi.org/10.25236/AJBM.2021.030403
Zhu, Y., Wang, W., and Jiang, C. (2023). The Application of Clothing Patterns based on Computer-AidedTechnology in Clothing Culture Teaching. Computer-aided design and applications. 20 (S4), 145-155. https://doi.org/10.14733/cadaps.2023.S4.145-155