Digital sustainability and entrepreneurship: How digital innovations are helping tackle climate change and sustainable development
Open accessAbstract
We explore how digital technologies are helping address grand challenges to tackle climate change and promote sustainable development. With digital technologies, entrepreneurial organizations have adopted innovative approaches to tackle seemingly intractable societal challenges. We refer to these broadly as digital sustainability activities. By focusing on the digital toolbox employed by pioneering organizations, we propose a research agenda that generates novel questions for entrepreneurship, business models, and ecosystems as well as new ways of thinking about trust and institutional logics. We believe that digital sustainability can spur empirical advances in entrepreneurship, innovation, and strategy with potential for positive impact on society.
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Digital technologies offer the potential to deliver sustained solutions to many intractable societal challenges relating to climate change.
“Digital technologies offer the potential to deliver sustained solutions to many of the seemingly intractable societal challenges relating to climate change (George, Merrill, & Schillebeeckx, 2021).”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as George, Merrill, & Schillebeeckx, 2021
Debates surrounding the convergence of digital and net zero imperatives are beginning to gain traction within the academic literature.
“The debates surrounding the convergence of the digital and net zero imperatives are beginning to gain traction within the academic literature”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as George et al., 2021
AI and ML have the potential to combat climate change.
“Exponential technologies such as AI and ML have the potential to combat climate change (George et al., 2021).”
From Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022) · cites this paper as George et al., 2021
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- Authors
- George, G., Merrill, R. K., & Schillebeeckx, S. J. D.
- Affiliations
- Singapore Management University (SG)
- Corresponding author
- George, Gerard
- Venue
- Entrepreneurship Theory and Practice
- Publisher
- SAGE Publications
- Published
- 2020-01-23
- Volume
- 45
- Issue
- 5
- Pages
- 999-1027
- ISSN
- 1042-2587 (ISSN-L)
- 1540-6520
- OpenAlex
- W3002251739
- Semantic Scholar
- d13e57b105e8545a6b51695ffbde57a42bc85b88
- Cited by
- 1,066
- References
- 98
- Citations by year
- 2026: 290 · 2025: 253 · 2024: 200 · 2023: 169 · 2022: 97 · 2021: 47 · 2020: 10
- FWCI
- 74.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Entrepreneurship Theory and Practice (publishedVersion, cc-by-nc)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Keywords
- digital sustainability, digital innovation, climate change, sustainable development, grand societal challenges, business models, entrepreneurial ecosystems, trust, institutional logics, corporate social responsibility
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 ›
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