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Factors Impacting E-Commerce Performance via Big Data Analytics in Hangzhou |
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| รหัสดีโอไอ | |
| Creator | Sheng Qi |
| Title | Factors Impacting E-Commerce Performance via Big Data Analytics in Hangzhou |
| Publisher | Assumption University Press |
| Publication Year | 2568 |
| Journal Title | Journal of Interdisciplinary Research |
| Journal Vol. | 10 |
| Journal No. | 1 |
| Page no. | 102-112 |
| Keyword | Big Data Analytics, Global Sourcing, Satisfaction, Business Value, Firm Performance |
| URL Website | https://assumptionjournal.au.edu/index.php/eJIR/article/view/9035 |
| Website title | JIR |
| ISSN | 2408-1906 |
| Abstract | Purpose: This study investigates the factors influencing firm performance (FP) through big data analytics (BDA) in E-commerce companies. Specifically; it examines the effects of integration (INT); global sourcing (GS); competitive advantage (CA); business value (BVAL); and satisfaction (SAT) on FP; along with the effect of INT on GS and BVAL on SAT. Research design; data and methodology: Based on the resource-based view (RBV); dynamic capability view (DCV); and information systems (IS) success model; a quantitative approach was adopted. Data were collected from 500 employees across eight types of E-commerce companies in Hangzhou using stratified random sampling. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to test hypotheses and analyze relationships among variables. Results: BVAL has the strongest effect on SAT; INT significantly enhances GS; but its direct effect on FP is unsupported. GS; BVAL; CA; and SAT significantly impact FP. This study highlights the strategic value of BDA in driving performance outcomes. Conclusions: This offers actionable insights for E-commerce firms to strengthen integration; optimize sourcing; create business value; and enhance satisfaction. By focusing on these areas; businesses can better navigate the global digital marketplace; build sustainable competitive advantages; and improve overall firm performance. |
