Big data analytics capabilities and knowledge management: impact on firm performance. Issue 8 (12th September 2019)

• Record Type: Journal Article
• Authors: Ferraris, Alberto; Mazzoleni, Alberto; Devalle, Alain; Couturier, Jerome
• Is Part Of: Management decision. Volume 57:Issue 8(2019)
• Page Start: 1923
• Page End: 1936
• Publication Date: 2019-09-12
• Subjects: Performance -- Big data -- SMEs -- Big data analytics -- Knowledge management; Management -- Periodicals; 658.403
• DOI: 10.1108/MD-07-2018-0825
• Languages: English
• ISSNs: 0025-1747

Abstract

Abstract : Purpose: Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information for businesses and transformed into big data related-knowledge and efficient decision-making processes, thereby improving performance. However, the management of the knowledge generated from the BDA as well as its integration and combination with firm knowledge have scarcely been investigated, despite an emergent need of a structured and integrated approach. The paper aims to discuss these issues. Design/methodology/approach: Through an empirical analysis based on structural equation modelling with data collected from 88 Italian SMEs, the authors tested if BDA capabilities have a positive impact on firm performances, as well as the mediator effect of knowledge management (KM) on this relationship. Findings: The findings of this paper show that firms that developed more BDA capabilities than others, both technological and managerial, increased their performances and that KM orientation plays a significant role in amplifying the effect of BDA capabilities. Originality/value: BDA has the potential to change the way firms compete through better understanding, processing, and exploiting of huge amounts of data coming from different internal and external sources and processes. Some managerial and theoretical implications are proposed and discussed in light of the emergence of this new phenomenon.