An empirical investigation on how big data analytics influence China SMEs performance: do product and process innovation matter?

Hamza Saleem, Yongjun Li, Zulqurnain Ali, Aqsa Mehreen and Muhammad Salman Mansoor

Asia Pacific Business Review, 2020, vol. 26, issue 5, 537-562

Abstract: Globalization and a keen interest in big data have directed the firms to develop and utilize big data analytics (BDA) to bring technological innovation (TI) and enhance firm productivity. Using resource-based view theory (RBVT), we intend to predict TI and SMEs’ performance through BDA. Therefore, we recruited 312 Chinese SMEs’ officials using survey methods. The proposed model and structural associations were examined in AMOS. The findings suggest that BDA (predictive-and-prescriptive) is positively related to TI (product-and-process) and SMEs’ performance. Moreover, TI (product-and-process) mediates the relationship between BDA and SMEs performance. Finally, the study discussion and implications are recorded.

Date: 2020
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Citations: View citations in EconPapers (8)

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DOI: 10.1080/13602381.2020.1759300

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