With big data analytics capabilities and entrepreneurial orientations rapidly growing popularity in research for researchers and practitioners have considered them as valuable resources and they can incorporate these technologies to bring it into their competitive strategies. Drawing on recent literature on big data analytics capabilities, entrepreneurial orientation, the resource-based view (RBV) and the dynamic capabilities view (DCV), the study explores how big data analytics capability (BDAC) and entrepreneurial orientation (EO) empower firms to identify opportunities, make informed decisions and sustain competitive advantages and observes the direct and mediating relationship among the big data analytics capability (BDAC), entrepreneurial orientation and SMEs performance with intervening role of business model innovation(BMI). This study proposes that the existing research having big data analytics capability (BDAC), entrepreneurial orientations (EO) that enable the organizations to generate insight that can help and strengthen their business model innovation, and have positively effect on their performance. For testing the proposed research model, a quantitative approach by utilizing partial least squares structural equation modeling (PLS-SEM), was employed to analyze the data collected from managers and owners of SMEs through survey working in Punjab Pakistan. The findings of the study confirm the assumptions regarding the direct and mediating effect that BDAC and entrepreneurial orientation have on SMEs performance.

Keywords: big data analytics capability (BDAC), entrepreneurial orientations (EO), business model innovation (BMI), SMEs, PLS-SEM.