On the edge of Big Data: Drivers and barriers to data analytics adoption in SMEs

Théo Justy, Estelle Pellegrin-Boucher, Denis Lescop, Julien Granata and Shivam Gupta

Technovation, 2023, vol. 127, issue C

Abstract: Adoption of technological innovations such as data analytics represents a major organizational transformation for small and medium-sized enterprises (SMEs). Literature shows that data analytics can improve the performance of SMEs. However, SMEs face many barriers in adopting this technological innovation. Unfortunately, the literature on data analytics adoption in SMEs is limited. Our goal is to identify the drivers and barriers to data analytics adoption in SMEs. With 35 semi-structured interviews with SMEs in the manufacturing and agricultural industries from France, we establish two comprehensive typologies of drivers and barriers. Our results show that exogenous drivers such as market, competition and the Covid-19 crisis have a stronger influence on data analytics adoption in SMEs than endogenous drivers. Endogenous barriers like lack of strategy, skills and organizational culture have a more negative influence on data analytics adoption in SMEs than exogenous barriers. This article contributes to better understanding of data analytics adoption process in SMEs. Our research helps SMEs manage organizational transformation and develop a strategy supporting technology adoption.

Keywords: Barriers; Big data; Data analytics; Drivers; SME; Technology adoption (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016649722300161X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:127:y:2023:i:c:s016649722300161x

DOI: 10.1016/j.technovation.2023.102850

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().