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Cited by 445

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

Sustainability through digital transformation: A systematic literature review for research guidance

Open access
Guandalini, Ilaria·2022·Journal of Business Research

Abstract

Motivated by the rising attention of businesses and regulators towards how digital transformation can assist sustainability improvement, this paper sheds light on the relationships between these two phenomena. Specifically, this research pioneers the study of ‘digital sustainability’ through a systematic review of 153 academic articles aimed to 1) consolidate the existing research, 2) understand the thematic connections amongst the different studies, and 3) identify research gaps to move forward in the development of the topic. The suggested research agenda has important theoretical and practical implications. Through the identified gaps, this study acknowledges the management scholarship of pitfalls and delays on the research topic, providing detailed guidance to develop this new stream of subject area. The opportunistic approach of this paper responds to the practical call for support in understanding the use of digitalization for sustainability-related goals. This research directly impacts a wide range of practitioners, including managers, consultants, and policymakers.

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Crossref · 10.1016/j.jbusres.2022.05.003

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Metadata

Authors
Guandalini, I.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2022-09
Volume
148
Pages
456-471
ISSN
0148-2963 (ISSN-L)
OpenAlex
W4280637168
Cited by
445
References
140
FWCI
13.85
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Sustainability through digital transformation: A systematic literature review for research guidance. https://app.cochat.ai/papers/10.1016/j.jbusres.2022.05.003
The paper
Guandalini, I. (2022). Sustainability through digital transformation: A systematic literature review for research guidance. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2022.05.003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.