Big data analytics and enterprises: a bibliometric synthesis of the literature
Khanra, Sayantan; Dhir, Amandeep; Mäntymäki, Matti (2020-03-17)
Post-print / Final draft
Khanra, Sayantan
Dhir, Amandeep
Mäntymäki, Matti
17.03.2020
Enterprise Information Systems
Taylor & Francis
School of Business and Management
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© 2020 Informa UK Limited
© 2020 Informa UK Limited
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020042822802
https://urn.fi/URN:NBN:fi-fe2020042822802
Tiivistelmä
Understanding the developmental trajectories of big data analytics in the corporate context is highly relevant for information systems research and practice. This study presents a comprehensive bibliometric analysis of applications of big data analytics in enterprises. The sample for this study contained a total of 1727 articles from the Scopus database. The sample was analyzed with techniques such as bibliographic coupling, citation analysis, co-word analysis, and co-authorship analysis. Findings from the co-citation analysis identified four major thematic areas in the extant literature. The evolution of these thematic areas was documented with dynamic co-citation analysis.
Lähdeviite
Sayantan Khanra, Amandeep Dhir & Matti Mäntymäki (2020) Big data analytics and enterprises: a bibliometric synthesis of the literature, Enterprise Information Systems, DOI: 10.1080/17517575.2020.1734241
Alkuperäinen verkko-osoite
https://www.tandfonline.com/doi/full/10.1080/17517575.2020.1734241Kokoelmat
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