Data analytics and firm performance: An empirical study in an online B2C platform |
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Authors: | Peijian Song Chengde Zheng Cheng Zhang Xiaofeng Yu |
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Affiliation: | 1. School of Business, Nanjing University, 22, Hankou Road, Nanjing, 210093, China;2. School of Management, Fudan University, 670, Guoshun Road, Shanghai, 200433, China |
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Abstract: | Data analytics has become an increasingly eye-catching practice in both the academic and the business communities. The importance of data analytics has also prompted growing literature to focus on the design of data analytics. However, the boundary conditions for data analytics in creating value have been largely overlooked in the literature. The objective of this article therefore is to examine the business value of data analytics usage and explore how such value differs in different market conditions. We rely on an online B2C platform as our empirical setting and obtain several important insights. First, both demand-side and supply-side data analytics usage has a positive effect on the performance of merchants. Second, when merchants’ product variety is high, the influence of usage toward demand-side data on performance is strengthened, whereas such impact is weakened for supply-side data analytics. Third, when competitive intensity is high, the performance implication of demand-side data analytics usage is strengthened, whereas such impact is not strengthened for supply-side data analytics. This study contributes by advancing the overall understanding of business value of data analytics. |
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Keywords: | Data analytics Business value Product variety Competitive intensity Online platform |
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