A STUDY ON THE IMPACT OF DATA-DRIVEN AND ORGANIZATIONAL ROUTINE UPDATES ON THE OPERATIONAL PERFORMANCE OF SMES IN CHINA'S CROSS-BORDER E-COMMERCE INDUSTRY*
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This research article aims to: 1) analyze the impact of data-driven approaches on the operational performance of small and medium-sized enterprises (SMEs) in China’s cross-border e-commerce industry; 2) examine the impact of data-driven approaches on organizational routine updates;
3) investigate the impact of organizational routine updates on the operational performance of cross-border e-commerce SMEs; and 4) test the mediating role of organizational routine updates in the relationship between data-driven approaches and operational performance. A quantitative survey design was employed. Data were collected from 439 SMEs in China’s cross-border
e-commerce sector using a structured questionnaire measuring data-driven approaches, organizational routine updates, and operational performance on a five-point Likert scale. The data were analyzed by descriptive statistics, reliability and validity tests, confirmatory factor analysis, regression analysis, and structural equation modeling with bootstrap mediation testing.
The results of the research were: 1) data-driven approaches have a significant positive effect on the operational performance of cross-border
e-commerce SMEs; 2) data-driven approaches significantly promote organizational routine updates by encouraging process improvement, flexibility, and knowledge integration; 3) organizational routine updates significantly enhance the operational performance of cross-border e-commerce SMEs; and 4) organizational routine updates play a significant partial mediating role in the relationship between data-driven approaches and operational performance, revealing internal adaptability as a key mechanism through which data-driven development improves SME operational performance.
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