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Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance

Aleš Popovič (Department of Business informatics and logistics, Faculty of Economics, University of Ljubljana, Ljubljana, Slovenia) (NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal)
Borut Puklavec (Department of Information Management, Faculty of Economics, University of Ljubljana, Ljubljana, Slovenia)
Tiago Oliveira (Department of Information Management, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, Lisboa, Portugal)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 21 September 2018

Issue publication date: 8 February 2019

3995

Abstract

Purpose

The purpose of this paper is to provide a better understanding of how post-adoption use of business intelligence system (BIS) affects firm performance. It develops and empirically tests a conceptual model for assessing the impact of BIS routine and innovative usage on firm performance the context of small and medium enterprises (SMEs).

Design/methodology/approach

Drawing on the data collected from 181 SMEs we analyzed how BIS usage influences firm performance using the PLS-SEM method.

Findings

The paper provides empirical insights about how BIS routine and innovative usage affect firm performance.

Practical implications

The results provide instrumental insights for managers and solution providers to help them understand the influence of various determinants to more effectively conclude the post-adoption process in SMEs.

Originality/value

This study represents important progress in the authors’ theoretical understanding of the role of BIS routine and innovative usage across different BIS partial impacts on firm performance dimensions.

Keywords

Citation

Popovič, A., Puklavec, B. and Oliveira, T. (2019), "Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance", Industrial Management & Data Systems, Vol. 119 No. 1, pp. 210-228. https://doi.org/10.1108/IMDS-02-2018-0085

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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