Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis

Autor(en): Hausberg, J.P.
Liere-Netheler, K.
Packmohr, S.
Pakura, S.
Vogelsang, K.
Stichwörter: Citation-network analysis; Digital transformation; Gephi; Systematic review
Erscheinungsdatum: 2019
Herausgeber: Springer
Enthalten in: Journal of Business Economics
Band: 89
Ausgabe: 8-9
Startseite: 931
Seitenende: 963
Zusammenfassung: 
Digital transformation (DT) has become a buzzword, triggering different disciplines in research and influencing practice, which leads to independent research streams. Scholars investigate the antecedents, contingencies, and consequences of these disruptive technologies by examining the use of single technologies or of digitization, in general. Approaches are often very specialized and restricted to their domains. Thus, the immense breadth of technologies and their possible applications conditions a fragmentation of research, impeding a holistic view. With this systematic literature review, we aim to fill this gap in providing an overview of the different disciplines of DT research from a holistic business perspective. We identified the major research streams and clustered them with co-citation network analysis in nine main areas. Our research shows the main fields of interest in digital transformation research, overlaps of the research areas and fields that are still underrepresented. Within the business research areas, we identified three dominant areas in literature: finance, marketing, and innovation management. However, research streams also arise in terms of single branches like manufacturing or tourism. This study highlights these diverse research streams with the aim of deepening the understanding of digital transformation in research. Yet, research on DT still lacks in the areas of accounting, human resource management, and sustainability. The findings were distilled into a framework of the nine main areas for assisting the implications on potential research gaps on DT from a business perspective. © 2019, The Author(s).
ISSN: 00442372
DOI: 10.1007/s11573-019-00956-z
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075164546&doi=10.1007%2fs11573-019-00956-z&partnerID=40&md5=c034afe06c8c0fab64a752a05d1f23b1

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