Business intelligence and analytics value creation in Industry 4.0: a multiple case study in manufacturing medium enterprises

Abstract

Medium enterprises (MEs) form a majority of enterprises in several regions, yet they are underrepresented in the literature. The digital transformation known as Industry 4.0 (I4.0) brings new data streams into enterprises. MEs and large enterprises will both leverage business intelligence and analytics (BI&A) to improve their business performance, so the study of the conditions favouring value creation of BI&A is of interest. However, there are few studies focusing on the impact of business intelligence and analytics (BI&A) on value creation in I4.0 and none focusing on MEs. Using a multiple case-study design, this paper explores factors linked to BI&A business value creation in manufacturing MEs that are undergoing an I4.0 transformation. Findings suggest enterprises resources and capabilities are not sufficient to predict business value: organizational learning and organizational culture have a non-negligible influence for MEs.

Keywords:

• Business intelligence
• analytics
• business value creation
• organizational learning ambidexterity
• medium enterprises

Acknowledgements

The grant provided for this study had no influence on the results. We acknowledge the help of prof. Alexandre Moïse (Université de Sherbrooke) and prof. Samuel Fosso Wamba (Toulouse Business School) during the revision of this paper. We also acknowledge the help of Productique Québec for the identification of cases.

Disclosure statement

The authors wish to confirm that there are no known conflicts of interest associated with this publication and the funding provided for this work had no influence on its outcome.

ORCID

Fanny-Eve Bordeleau https://orcid.org/0000-0003-1148-2095

Additional information

Funding

This work was supported by Mitacs and Productique Québec under Mitacs Acceleration Grant.

Notes on contributors

Fanny-Eve Bordeleau

Fanny-Ève Bordeleau, MSc, is a research assistant and doctoral student for the Department of Information Management at the Technische Universität Bergakademie Freiberg, Germany. She was previously a master student at IntelliLab.org, a research group focused on the managerial impacts of the digital transformation of organizations at Université de Sherbrooke, Canada. Her research interest includes business intelligence, manufacturing small and medium enterprises, and Industry 4.0 and the digital transformation of organizations.

Elaine Mosconi

Elaine Mosconi, PhD, is an assistant professor of Information Systems at the Université de Sherbrooke. She is cofounder and director of IntelliLab.org, a research group focused on the managerial impacts of the digital transformation of organizations. She is also associate researcher at PRISME, a research group in business strategic and multidimensional intelligence. Her research interest includes knowledge management, management and governance of information systems, business intelligence, Industry 4.0 and the digital transformation of organizations.

Luis Antonio de Santa-Eulalia

Luis Antonio de Santa-Eulalia, PhD, is an associate professor of Supply Chains and Operations Management at the Université de Sherbrooke. He is cofounder and director of IntelliLab.org, a research group focused on the managerial impacts of the digital transformation of organizations. He is also an associate researcher at PRISME, a research group in business strategic and multidimensional intelligence. He is the coordinator of the Collaborative Research Network on Supply Chain 4.0. His research interest includes Industry 4.0 and the digital transformation of organizations, electronic business, operations management, operations planning and control, and sustainable supply chain management.