International Journal of Research Studies in Management
CollabWritive Special Issue
2024 Volume 12 Issue 6
Available Online: 15 July 2024
Author/s:
Hu, Junqing
Graduate School, Lyceum of the Philippines University – Batangas, Philippines
Abstract:
The rapid advancement of technology and the increasing intensity of global market competition have led to the emergence of numerous artificial intelligence (AI) companies across various industries. These companies leverage AI technology to develop innovative products and services to meet customer demands. Zhejiang Province in China has witnessed a significant increase in the number of AI companies. This study aimed to explore the Total Quality Management (TQM) practices, organizational productivity, and competitiveness of AI companies in Zhejiang Province and their impact on sustainable growth. This study utilized a self-designed questionnaire as the data collection tool, targeting employees of AI companies in Zhejiang Province. Weighted mean and ranking methods were used to describe TQM practices, including mechanisms, process improvement, and customer focus; to assess organizational productivity, including efficiency, innovation capability, and cost-effectiveness; and to determine competitiveness, including market share, customer satisfaction, and strategic flexibility and adaptability. Spearman’s rank correlation coefficient was used as part of the non-parametric tests to examine significant relationships. All analyses were conducted using SPSS version 28. The results indicated varying degrees of agreement among respondents regarding their company’s TQM practices, organizational productivity, and competitiveness. The study found no significant relationship between mechanisms and organizational productivity. Similarly, no significant relationship was found between process improvement and organizational productivity. However, a significant positive relationship was found between customer focus and organizational productivity in terms of efficiency. Additionally, no significant relationship was observed between TQM practices and competitiveness. Furthermore, a significant positive relationship was identified between organizational productivity, specifically innovation and cost-effectiveness, and the competitiveness variables of market share and customer satisfaction. This study provides new insights into the performance of existing AI companies and lays the groundwork for future research.
Keywords: Total Quality Management (TQM) practice, organizational productivity, competitiveness
DOI: https://doi.org/10.5861/ijrsm.2024.1075
Cite this article:
Hu, J. (2024). Total quality management practices, organizational productivity, and competitiveness of AI companies in Zhejiang Province, China: Basis for sustainable growth. International Journal of Research Studies in Management, 12(6), 23-34. https://doi.org/10.5861/ijrsm.2024.1075