Corporate transformation toward Industry 4.0 and financial performance: The influence of environmental, social, and governance (ESG)
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The integration of ESG factors in the business model followed by the tourism industry can contribute to mitigating the challenges created in employment by the collaborative economy.
“Thus, the integration of Environmental, Social and Corporate Governance (ESG) factors in the business model followed by tourism industry can contribute to the mitigation of the challenges that are created in employment by the collaborative economy (Alkaraan et al., 2022(Alkaraan et al., , 2023)).”
From Well-being Human Resource Model In The Collaborative Economy: The Keystone of ESG Strategy In The Tourism Sector (2023) · cites this paper as Alkaraan et al., 2022
Cites
Partnerships from <i>cannibals with forks: The triple bottom line of 21st‐century business</i>
Elkington, J. (1998) · Environmental Quality Management · doi:10.1002/tqem.3310080106 · Cited by 5,341 · cited 1× · see citing works
“Triple bottom line theory (TBL), proposed by Elkington (1998), focuses on sustainability as the primary objective and incorporates three performance dimensions: economic, social, and environmental, enabling sustainable results.”
BackgroundLopes de Sousa Jabbour, A. B., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D. (2018) · Annals of Operations Research · doi:10.1007/s10479-018-2772-8 · Cited by 1,116 · see citing works
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Can digital transformation improve market and ESG performance? Evidence from Chinese SMEs
Wang, S., & Esperança, J. P. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137980 · Cited by 315 · see citing works
Ragazou, K., Garefalakis, A., Papademetriou, C., & Passas, I. (2023) · International Conference on Tourism Research · doi:10.34190/ictr.6.1.1066 · Cited by 10 · see citing works
- Authors
- Alkaraan, F., Albitar, K., Hussainey, K., & Venkatesh, V.
- Affiliations
- University of Lincoln (GB)
- University of Portsmouth (GB)
- EM Normandie Business School (FR)
- Corresponding author
- Alkaraan, Fadi
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 175
- Pages
- 121423
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4200196972
- Cited by
- 422
- References
- 2
- Citations by year
- 2026: 60 · 2025: 125 · 2024: 126 · 2023: 81 · 2022: 27 · 2021: 3
- FWCI
- 52.87
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.gla.ac.uk
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- Lincoln Repository (University of Lincoln) (acceptedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion, cc-by-sa)
- Lincoln Repository (University of Lincoln) (submittedVersion)
- Figshare (submittedVersion, cc-by-nc-nd)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Social Sciences › Business, Management and Accounting › Management Information Systems › Financial Reporting and XBRL
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- financial performance, environmental, social and governance practices, annual report disclosure, UK firms, industry differences
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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.
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