Autori: Lorenzo Ardito, Veronica Scuotto, Manlio Del Giudice, Antonio Messeni Petruzzelli
Editore: Emerald Publishing Limited
Tipologia Prodotto: Articolo in rivista
DOI: https://doi.org/10.1108/MD-07-2018-0754
Titolo della Rivista: Management Decision
Numero; Volume: 8; 57
Numero prima e ultima pagina: 1993 – 2009
Codice ISSN: 0025-1747
Anno di Pubblicazione: 2018
Link: https://www.emerald.com/insight/content/doi/10.1108/MD-07-2018-0754/full/html
Abstract:
Purpose
The purpose of this paper is to scrutinize and classify the literature linking Big Data analytics and management phenomena.
Design/methodology/approach
An objective bibliometric analysis is conducted, supported by subjective assessments based on the studies focused on the intertwining of Big Data analytics and management fields. Specifically, deeper descriptive statistics and document co-citation analysis are provided.
Findings
From the document co-citation analysis and its evaluation, four clusters depicting literature linking Big Data analytics and management phenomena are revealed: theoretical development of Big Data analytics; management transition to Big Data analytics; Big Data analytics and firm resources, capabilities and performance; and Big Data analytics for supply chain management.
Originality/value
To the best of the authors’ knowledge, this is one of the first attempts to comprehend the research streams which, over time, have paved the way to the intersection between Big Data analytics and management fields.