Song Jianmin, Xia Senmao, Vrontis Demetris, Sukumar Arun, Liao Bing, Li Qi, Tian Kun, Yao Nengzhi
School of Economics and Business Administration, Chongqing University, Chongqing, 400044 China.
International Center for Transformational Entrepreneurship & Center for Business in Society, Coventry University, CV15FB Coventry, UK.
Inf Syst Front. 2022;24(4):1167-1187. doi: 10.1007/s10796-022-10287-0. Epub 2022 May 19.
Literature notes that firms are keen to develop big data analytics capability (BDAC, e.g. big data analytics (BDA) management and technology capability) to improve their competitive performance (e.g. financial performance and growth performance). Unfortunately, the extant literature has limited understanding of the mechanisms by which firms' BDAC affects their competitive performance, especially in the context of small and medium-sized enterprises (SMEs). Using resource capability as the theoretical lens, this paper specifically examines how BDAC influences SMEs' competitive performance via the mediating role of business models (BMs). Also, this study explores the moderating effect of COVID-19 on the relationship between BDAC and BMs. Supported by Partial Least Squares-Structural Equation Modelling (PLS-SEM) and data from 242 SMEs in China, this study finds the mediating roles of infrastructure and value attributes of BMs in enhancing the relationship of BDAC on competitive performance. Furthermore, the improvement of financial performance comes from the matching of BDA management capability with infrastructure attributes of BMs, while the improvements in growth come from the matching of BDA management capability and BDA technology capability with value attributes of BMs. The result also confirms the positive moderating effects of COVID-19 on the relationship of BDA management capability and value attributes of BMs. This study enriches the integration of BDAC and BMs literature by showing that the match between BDAC and BMs is vital to achieve competitive performance, and it is helpful for managers to adopt an informed BDA strategy to promote widespread use of BDAs and BMs.
文献指出，企业热衷于发展大数据分析能力（BDAC，例如大数据分析（BDA）管理和技术能力）以提高其竞争绩效（例如财务绩效和增长绩效）。不幸的是，现有文献对企业的BDAC影响其竞争绩效的机制了解有限，尤其是在中小企业（SME）的背景下。本文以资源能力为理论视角，具体研究BDAC如何通过商业模式（BM）的中介作用影响中小企业的竞争绩效。此外，本研究还探讨了新冠疫情对BDAC与BM之间关系的调节作用。在偏最小二乘结构方程模型（PLS-SEM）和来自中国242家中小企业的数据支持下，本研究发现BM的基础设施和价值属性在增强BDAC与竞争绩效关系中的中介作用。此外，财务绩效的提升来自BDA管理能力与BM基础设施属性的匹配，而增长的提升来自BDA管理能力和BDA技术能力与BM价值属性的匹配。结果还证实了新冠疫情对BDA管理能力与BM价值属性关系的正向调节作用。本研究通过表明BDAC与BM之间的匹配对于实现竞争绩效至关重要，丰富了BDAC与BM文献的整合，并且有助于管理者采用明智的BDA策略来促进BDA和BM的广泛应用。
