Evidence map›Paper›PMID 35607653›Full record

ArticleInformation systems frontiers : a journal of research and innovation2022

The Source of SMEs' Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models.

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

Abstract read
In one paragraph

Article in Information systems frontiers : a journal of research and innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Innovative Technologies and Small-Medium Sized Enterprises in Times of Crisis.Information systems frontiers : a journal of research and innovation · 2022
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jianmin SongSchool of Economics and Business Administration, Chongqing University, Chongqing, 400044 China.
Senmao XiaInternational Center for Transformational Entrepreneurship & Center for Business in Society, Coventry University, CV15FB Coventry, UK.ORCID 0000-0003-2637-6201
Demetris VrontisSchool of Business, University of Nicosia, Nicosia, 24005 Cyprus.
Arun SukumarInternational Center for Transformational Entrepreneurship, Coventry University, Coventry, CV15FB UK.
Bing LiaoSchool of Economics and Business Administration, Chongqing University, Chongqing, 400044 China.
Qi LiUniversity of Electronic Science and Technology of China, Chengdu, China.
Kun TianNorwich business School, University of East Anglia, NR47TJ Norwich, UK.
Nengzhi YaoDurham University Business School, Mill Hill Lane, Durham, DH1 3LB UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Big data analytics capabilityBusiness modelCompetitive performanceCOVID-19Dual attributes

Identifiers

PMID35607653
PMCPMC9117985

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.