The Source of SMEs’ Competitive Performance in COVID‑19: Matching Big Data Analytics Capability to Business Models

Jianmin Song; Senmao Xia; Demetris Vrontis; Arun P. C Sukumar; Bing Liao; Qi Li; Kun Tian; Nengzhi Yao

doi:10.1007/s10796-022-10287-0

The Source of SMEs’ Competitive Performance in COVID‑19: Matching Big Data Analytics Capability to Business Models

Jianmin Song, Senmao Xia, Demetris Vrontis, Arun P. C Sukumar, Bing Liao, Qi Li, Kun Tian, Nengzhi Yao

Research output: Contribution to journal › Article › peer-review

34 Citations (Scopus)

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Abstract

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.

Original language	English
Pages (from-to)	1167-1187
Number of pages	21
Journal	Information Systems Frontiers
Volume	24
Issue number	4
Early online date	19 May 2022
DOIs	https://doi.org/10.1007/s10796-022-10287-0
Publication status	Published - Aug 2022

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Funder

This research work was supported by National Natural Science Foundation of China (Grant NO.72172020), and Graduate Research and Innovation Foundation of Chongqing, China (Grant NO. CYB20052).

Funding

Funders	Funder number
Graduate Research and Innovation Foundation of Chongqing	CYB20052
National Natural Science Foundation of China	72172020

Keywords

Big data analytics capability
COVID-19
Business model
Competitive performance
Dual attributes

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10.1007/s10796-022-10287-0

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Cite this

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title = "The Source of SMEs{\textquoteright} Competitive Performance in COVID‑19: Matching Big Data Analytics Capability to Business Models",

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The Source of SMEs’ Competitive Performance in COVID‑19: Matching Big Data Analytics Capability to Business Models

Abstract

Bibliographical note

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Funding

Keywords

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