Understanding the Impact of Big Data Analytics and Knowledge Management on Green Innovation Practices and Organizational Performance: The Moderating Effect of Government Support

Lahcene Makhloufi, László Vasa (), Joanna Rosak-Szyrocka () and Farouk Djermani
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Lahcene Makhloufi: School of Management, Mae Fah Luang University, 333 Moo 1 Tasood, Muang Chiang Rai 57100, Thailand
László Vasa: Faculty of Business and Economics, Széchenyi István University, 9026 Győr, Hungary
Joanna Rosak-Szyrocka: Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland
Farouk Djermani: Faculty of Economics and Business, Universitas Indonesia, Depok 16424, Indonesia

Sustainability, 2023, vol. 15, issue 11, 1-22

Abstract: Understanding and predicting the relationship between big data analytics (BDA) and knowledge management (KM) and how they complement each other is still an ambiguous and strategically crucial issue. This study aims to investigate the interrelationships between BDA and KM in fostering green innovation practices (GIP) and organizational performance and, in addition, to explore the mediation effect of KM and how it can boost the impact of BDA on GIP. Based upon the underpinning theories that cover the study’s research model, several hypotheses were proposed and then examined. Using a cross-sectional research design, 174 questionnaires were collected from medium and large Algerian manufacturing firms. The study applied smart PLS-SEM for data analysis. The sorted results show that BDA positively impacts KM and GIP. The results also indicate that GIP positively influences and increases firm performance. In addition, the findings reveal that government support plays a significant part in leveling up firms’ GIP. Furthermore, the study emphasizes the critical impact of KM to polish the impact of BDA on GIP. This study highlights the necessity of improving the technological and managerial aspects of BDA by determining valuable capabilities, such as KM processes, to enhance organizational performance. Tracking business opportunities and predicting their relevant threats has become a severe concern to knowledge-extensive firms. Therefore, BDA can enable managers to absorb a large amount of data to increase the efficiency of a business decision to ensure survival and advancement. The study discusses both practical and theoretical implications.

Keywords: big data analytics; knowledge management; green innovation; organizational performance; government support; resource-based view; dynamic capability view (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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