CoChat
Sign Up
Cited by 19Sustainable Supply Chain ManagementDigital Innovation in IndustriesSustainability and Innovation in Business

AI and sustainable business model innovation: A systematic literature review

Open access
Sharma, Anshuman, Khokhar, Maryam, Duan, Yongrui, Bibi, Munaza, Sharma, Renu, Muhammad, Bashir·2025·Sustainable Futures
DOI 10.1016/j.sftr.2025.101204
Open this paper in CoChat — free account

Abstract

In recent years, the increasing prominence of artificial intelligence (AI) and sustainable business models (SBM) has had a significant impact on various industries. Despite rapid development, the field remains fragmented, and the evolving concepts and analytical frameworks have led to a lack of unified understanding. Previous studies have mainly emphasized the technical aspects of AI and business models, often relegating sustainability to a secondary position. In addition, there is still uncertainty about the extent to which AI affects key sustainability indicators. To bridge these gaps, this study systematically reviews 170 articles and proposes two key contributions: First, it identifies and examines emerging trends in AI-driven sustainable business models (SBMs) and provides a structured overview of current research. Second, it proposes an integrative framework that integrates multiple perspectives on AI and sustainable business models, providing insights for addressing managerial challenges. By integrating existing knowledge, this study not only clarifies research gaps but also outlines a forward-looking agenda to deepen the understanding of the role of AI in shaping sustainable business practices.

Integrity signals

Registry

Crossref · 10.1016/j.sftr.2025.101204

Cites

111 of 111 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • AI impact on sustainability can be described by a three-level model: supporting, enabling, and disruptive.

    “Sharma et al. [40] identifies a three-level model of AI impact that has a direct effect on sustainability. At the 'supporting level', AI increases the efficiency of existing processes, primarily through the optimization of energy and material consumption and improved quality control. At the 'enabling level', AI transforms processes and value propositions themselves, for example through accurate”

    From Artificial Intelligence in Managerial Decision-Making for Sustainable Business Models: A Systematic Literature Review (2026) · cites this paper as [40]

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sharma, A., Khokhar, M., Duan, Y., Bibi, M., Sharma, R., & Muhammad, B.
Affiliations
  • Ajman University (AE)
  • Tongji University (CN)
  • Bahria University (PK)
  • Princess Nourah bint Abdulrahman University (SA)
Corresponding author
Khokhar, Maryam
ORCID
Venue
Sustainable Futures
Publisher
Elsevier BV
Published
2025-12
Volume
10
Pages
101204
ISSN
2666-1888 (ISSN-L)
DOI
10.1016/j.sftr.2025.101204
OpenAlex
W4414274850
Semantic Scholar
ba1c9368db094d9843ca117b8f8e95a4a0601068
Cited by
19
References
111
Citations by year
2026: 18 · 2025: 1
FWCI
4.98
Type
journal article
Language
en
Open access
Licence
Locations
  • Sustainable Futures (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Tongji University
  • Ajman University
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
Keywords
artificial intelligence, sustainable business models, business model innovation, sustainability indicators, integrative framework, management problems, research gaps

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review