Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Abstract

Purpose

The study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs). Top management support was proposed as a mediator between technological and organizational factors and BDA adoption. Furthermore, the moderating effect of environmental factors on the association between relative advantage, compatibility, competitiveness, organizational readiness and BDA adoption was evaluated.

Design/methodology/approach

Data were collected from 171 SME manufacturing firms and analyzed using the partial least squares technique.

Findings

The findings confirmed the interrelationships among the TOE factors. The effects of compatibility, competitiveness and organizational readiness on BDA adoption were mediated by top management support. Furthermore, environmental factors moderate the influences of compatibility and organizational readiness on top management support.

Originality/value

The findings contribute to the TOE model by challenging the assumption of independence among TOE factors, and future studies should use this model with more caution and consider the potential relationships between TOE factors.

Citation

Maroufkhani, P., Iranmanesh, M. and Ghobakhloo, M. (2023), "Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)", Industrial Management & Data Systems, Vol. 123 No. 1, pp. 278-301. https://doi.org/10.1108/IMDS-11-2021-0695