Big data analytics capabilities and knowledge management: impact on firm performance

By Alberto Ferraris, A. Mazzoleni, Alain Devalle, Jerome Couturier. Management Decision, 2019

516 citations recorded by the source corpus.

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.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/b080d072cfde697180db3234da08903c092e72c3

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Citations in the corpus

Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2021, unknown): “According to Ferraris et al. (2018), the use of the DCV allows to overcome the limited vision on BDAC offered by both the RBV, which regards data as a valuable information resource but does not focus on the processes needed to unleash its potential, and the Knowledge-Based View (KBV), which,…”
Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues (2021, background): “[83] emphasize the organizational capabilities required to exploit the advantages of big data, namely big-data analytics (BDA) and KM capabilities.”
Digital transformation as a springboard for product, process and business model innovation (2021, background): “…transformation is not limited to particularly innovative businesses, digital start-ups and high-tech giants, however, but is rather a process that embraces companies of all sizes, operating in the most diverse industries (Ferraris, Mazzoleni, Devalle, & Couturier, 2019; Warner & W ¨ ager, 2019).”
Digitalization and business models: Where are we going? A science map of the field (2021, background): “For all of these reasons, the last decade has been preoccupied with the speedy development of new business models characterized by a high degree of digital innovation (Ferraris, Mazzoleni, Devalle, & Couturier, 2019).”
Facilitating speed of internationalization: The roles of business intelligence and organizational agility (2020, background): “Data integration aims to combine and provide a unified view of data residing at different sources (Ferraris et al., 2019; Wamba et al., 2015), while analytical capability concerns the effective deployment of analytical methods to transform business data into valuable decision-making knowledge (Chen ”
The role of digital innovation in knowledge management systems: A systematic literature review (2021, background): “A crucial element is the “ predictive ” skills of the algorithms that regulate IoT systems, which carry out checks in terms of the sustainability of the choices, in order to prevent future complications and possible damage (Ammirato et al., 2019; Ferraris et al., 2019; Seele, 2017).”