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Future-ready AI: A framework for ethical and sustainable adoption

Author

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  • Kittipanya-ngam, Pichawadee
  • Tan, Kim Hua
  • Cavite, Harry Jay

Abstract

The rise of artificial intelligence (AI) is transforming industries through automation, data-driven decision-making, and innovation. However, its adoption also poses challenges, including high implementation costs, limited technical capacity, and growing concerns around ethical and sustainable practices. While research on AI adoption continues to grow, the intersection of ethics, sustainability, and small and medium-sized enterprises (SMEs) remains underexplored. This study addresses that gap by investigating the dynamics of AI adoption among SMEs in Thailand—a key Southeast Asian economy—through multiple in-depth case studies. Within-case and cross-case analyses reveal that AI adoption presents both opportunities and challenges across the technological, organizational, and environmental (TOE) framework. Key factors include job security, data protection, and cost savings, while user education, mental well-being, and financial access emerge as critical concerns. The study further explores how TOE dimensions interact with sustainability and ethical considerations, conceptualized as ESG + E (Environmental, Social, Governance, and Economic). This expanded lens offers a more comprehensive understanding of responsible AI adoption. A novel integrative framework is proposed, providing actionable insights for SMEs, policymakers, and technology providers. The findings contribute to the broader discourse on AI adoption by advancing a sustainability- and ethics-oriented perspective relevant to emerging economies.

Suggested Citation

  • Kittipanya-ngam, Pichawadee & Tan, Kim Hua & Cavite, Harry Jay, 2025. "Future-ready AI: A framework for ethical and sustainable adoption," Technology in Society, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:teinso:v:83:y:2025:i:c:s0160791x25001836
    DOI: 10.1016/j.techsoc.2025.102993
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    1. Kichan Nam & Christopher S. Dutt & Prakash Chathoth & Abdelkader Daghfous & M. Sajid Khan, 2021. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 553-574, September.
    2. Leon Oldemeyer & Andreas Jede & Frank Teuteberg, 2025. "Investigation of artificial intelligence in SMEs: a systematic review of the state of the art and the main implementation challenges," Management Review Quarterly, Springer, vol. 75(2), pages 1185-1227, June.
    3. Mahr, Dominik & Odekerken-Schröder, Gaby & Doorn, Jenny van, 2025. "Evolution of service robots in marketing: A relational framework and future research agenda," Journal of Business Research, Elsevier, vol. 192(C).
    4. Valeria D’Amato & Rita D’Ecclesia & Susanna Levantesi, 2021. "Fundamental ratios as predictors of ESG scores: a machine learning approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1087-1110, December.
    5. Gligor, David M. & Pillai, Kishore Gopalakrishna & Golgeci, Ismail, 2021. "Theorizing the dark side of business-to-business relationships in the era of AI, big data, and blockchain," Journal of Business Research, Elsevier, vol. 133(C), pages 79-88.
    6. Joerg Garrel & Carlos Jahn, 2023. "Correction to: Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3572-3572, September.
    7. Paola Vásquez & Viviana Gallego & J. David Soto, 2024. "Correction: Transforming MSMEs towards circularity: an attainable challenge with the appropriate technologies and approaches," Environment Systems and Decisions, Springer, vol. 44(4), pages 1068-1068, December.
    8. Sreejith Kurup & Vivek Gupta, 2022. "Factors Influencing the AI Adoption in Organizations," Metamorphosis: A Journal of Management Research, , vol. 21(2), pages 129-139, December.
    9. Pornsiri Cheevapattananuwong & Athena Lathouras & Claudia Baldwin, 2024. "Community development strategies to meet challenges of potential impacts of rapid economic development in Thailand," Community Development, Taylor & Francis Journals, vol. 55(5), pages 711-729, September.
    10. Donald O. E. Amadasun & Ashley T. Mutezo, 2022. "Influence of access to finance on the competitive growth of SMEs in Lesotho," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-20, December.
    11. Benjamin Mueller, 2022. "Corporate Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 689-700, October.
    12. Hong Chen & Ling Li & Yong Chen, 2021. "Explore success factors that impact artificial intelligence adoption on telecom industry in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 36-68, January.
    13. Elizaveta Tereshchenko & Erno Salmela & Elsa Melkko & Swee King Phang & Ari Happonen, 2024. "Emerging best strategies and capabilities for university–industry cooperation: opportunities for MSMEs and universities to improve collaboration. A literature review 2000–2023," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-45, December.
    14. Lobschat, Lara & Mueller, Benjamin & Eggers, Felix & Brandimarte, Laura & Diefenbach, Sarah & Kroschke, Mirja & Wirtz, Jochen, 2021. "Corporate digital responsibility," Journal of Business Research, Elsevier, vol. 122(C), pages 875-888.
    15. Viswanath Venkatesh, 2022. "Adoption and use of AI tools: a research agenda grounded in UTAUT," Annals of Operations Research, Springer, vol. 308(1), pages 641-652, January.
    16. Li, Junjun & Wu, Tong & Liu, Bailu & Zhou, Ming, 2024. "Can digital transformation enhance corporate ESG performance? The moderating role of dual environmental regulations," Finance Research Letters, Elsevier, vol. 62(PB).
    17. Joerg von Garrel & Carlos Jahn, 2023. "Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3551-3569, September.
    18. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    19. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    20. repec:oap:ijaefa:v:14:y:2022:i:2:p:108-117:id:667 is not listed on IDEAS
    21. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    22. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
    23. Joerg von Garrel & Carlos Jahn, 2023. "Correction to: Design Framework for the Implementation of AI-based (Service) Business Models for Small and Medium-sized Manufacturing Enterprises," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3570-3571, September.
    24. Purva Grover & Arpan Kumar Kar & Yogesh K. Dwivedi, 2022. "Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions," Annals of Operations Research, Springer, vol. 308(1), pages 177-213, January.
    25. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    26. Arroyabe, Marta F. & Arranz, Carlos F.A. & Fernandez De Arroyabe, Ignacio & Fernandez de Arroyabe, Juan Carlos, 2024. "Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment," Technology in Society, Elsevier, vol. 79(C).
    27. Julia Schwaeke & Anna Peters & Dominik K. Kanbach & Sascha Kraus & Paul Jones, 2025. "The new normal: The status quo of AI adoption in SMEs," Journal of Small Business Management, Taylor & Francis Journals, vol. 63(3), pages 1297-1331, May.
    28. Wirtz, Jochen & Stock-Homburg, Ruth, 2025. "Generative AI Meets Service Robots," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 155845, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    29. Wanamina Bostan Ali & Joshua Akinlolu Olayinka & Md Mahmudul Alam & Arno Immelman, 2024. "Assessing economic implications for micro, small and medium enterprises in Thailand post Covid-19 lockdown," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-15, February.
    30. Paola Vásquez & Viviana Gallego & J. David Soto, 2024. "Transforming MSMEs towards circularity: an attainable challenge with the appropriate technologies and approaches," Environment Systems and Decisions, Springer, vol. 44(3), pages 624-644, September.
    31. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    32. Satit Aditto, 2017. "Microfinance System in Thailand," World Scientific Book Chapters, in: Microfinance in Asia, chapter 5, pages 147-175, World Scientific Publishing Co. Pte. Ltd..
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