Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand
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1 Department of Mechanical Engineering, Faculty of Engineering and Industrial Technology, Silpakorn University, Nakorn Pathom, THAILAND* Corresponding Author
Abstract
The current study investigates how artificial intelligence (AI) impacts sustainable development in emerging markets, with a focus on Thailand. Following a systematic review approach, research designs are configured for reviewing empirical evidence within peer-reviewed papers and reports. It also presents an overview of the adoption of AI in agriculture, health, and urban planning. The key findings lend credence to the potential use of AI in achieving resource optimality, reducing environmental damage, and urging social equity in its use. But these very initiatives are hampered by the digital divide, concerns about data privacy, and bias in algorithms. The way forward should be to establish solid, regulatory frameworks geared towards more investment in infrastructure with ethical AI practices that will lead to optimal gains. The huge potentials for AI to enable sustainability in Thailand are there; hence, it is very important to reduce the associated risks that require equitably distributed results in all sectors.
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EUR J SUSTAIN DEV RES, Volume 8, Issue 4, 2024, Article No: em0273
https://doi.org/10.29333/ejosdr/15435
Publication date: 13 Oct 2024
Article Views: 55
Article Downloads: 32
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- Abdulla, A., Wang, B., Qian, F., Kee, T., Blasiak, A., Ong, Y. H., Hooi, L., Parekh, F., Soriano, R., Olinger, G. G., Keppo, J., Hardesty, C. L., Chow, E. K., Do, D., & Ding, X. (2020). Project IDentif. AI: Harnessing artificial intelligence to rapidly optimize combination therapy development for infectious disease intervention. Advanced Therapeutics, 3(7), Article 2000034. https://doi.org/10.1002/adtp.202000034
- Ajwa, Z. I. A. (2024). Harnessing AI technologies: Innovations in literacy libraries for diverse learners. International Journal of Cyber and IT Service Management, 4(1), 17-24.
- Bellagarda, J. S., & Abu-Mahfouz, A. M. (2022). An updated survey on the convergence of distributed ledger technology and artificial intelligence: Current state, major challenges and future direction. IEEE Access, 10, 50774-50793. https://doi.org/10.1109/ACCESS.2022.3173297
- Ben Hamadi, Z., & Fournès, C. (2023). Understanding the adoption or rejection of management accounting innovations within an SME using Rogers’ conceptual frameworks. Journal of Accounting & Organizational Change, 19(1), 142-163. https://doi.org/10.1108/JAOC-04-2021-0054
- Böhmecke-Schwafert, M., & Moreno, E. G. (2023). Exploring blockchain-based innovations for economic and sustainable development in the global south: A mixed-method approach based on web mining and topic modeling. Technological Forecasting and Social Change, 191, Article 122446. https://doi.org/10.1016/j.techfore.2023.122446
- Boukherouaa, E. B., Shabsigh, M. G., AlAjmi, K., Deodoro, J., Farias, A., Iskender, E. S., Mirestean, A. T., & Ravikumar, R. (2021). Powering the digital economy: Opportunities and risks of artificial intelligence in finance. International Monetary Fund. https://doi.org/10.5089/9781589063952.087
- Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110-134. https://doi.org/10.1177/1536504219865226
- Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A. J., Pizzinelli, C., Rockall, E. J., & Tavares, M. M. (2024). Gen-AI: Artificial intelligence and the future of work. Staff Discussion Notes, 2024(001). https://doi.org/10.5089/9798400262548.006
- Chatterjee, S., Chaudhuri, R., Kamble, S., Gupta, S., & Sivarajah, U. (2023). Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis. Information Systems Frontiers, 25(5), 1779-1794. https://doi.org/10.1007/s10796-022-10317-x
- Chitturu, S., Lin, D. Y., Sneader, K., Tonby, O., & Woetzel, J. (2017). Artificial intelligence and Southeast Asia’s future. Singapore Summit. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/artificial%20intelligence/ai%20and%20se%20asia%20future/artificial-intelligence-and-southeast-asias-future.pdf
- Dauvergne, P. (2020). AI in the wild: Sustainability in the age of artificial intelligence. MIT Press. https://doi.org/10.7551/mitpress/12230.001.0001
- Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. https://doi.org/10.1016/j.jbusres.2020.08.019
- Dohale, V., Akarte, M., Gunasekaran, A., & Verma, P. (2022). Exploring the role of artificial intelligence in building production resilience: Learnings from the COVID-19 pandemic. International Journal of Production Research, 62(15), 5472-5488. https://doi.org/10.1080/00207543.2022.2127961
- Dora, M., Kumar, A., Mangla, S. K., Pant, A., & Kamal, M. M. (2022). Critical success factors influencing artificial intelligence adoption in food supply chains. International Journal of Production Research, 60(14), 4621-4640. https://doi.org/10.1080/00207543.2021.1959665
- Efe, A. (2022). A review on risk reduction potentials of artificial intelligence in humanitarian aid sector. Journal of Human and Social Sciences, 5(2), 184-205. https://doi.org/10.53048/johass.1189814
- Elavarasan, R. M., Pugazhendhi, R., Jamal, T., Dyduch, J., Arif, M. T., Kumar, N. M., Shafiullah, G. M., Chopra, S. S., & Nadarajah, M. (2021). Envisioning the UN sustainable development goals (SDGs) through the lens of energy sustainability (SDG 7) in the post-COVID-19 world. Applied Energy, 292, Article 116665. https://doi.org/10.1016/j.apenergy.2021.116665
- ESCAP. (2017). Artificial intelligence and broadband divide: state of ICT connectivity in Asia and the Pacific. https://www.unescap.org/resources/artificial-intelligence-and-broadband-divide
- Esposito, M., & Kapoor, A. (2022). The emerging economies under the dome of the Fourth Industrial Revolution. Cambridge University Press. https://doi.org/10.1017/9781009092142
- Gajić, T., Ranjbaran, A., Vukolić, D., Bugarčić, J., Spasojević, A., Đorđević Boljanović, J., Vujacic, D., Mandaric, M., Kostic, M., Sekulic, D., Bugarcic, M., Draskovic, B. D., & Rakić, S. R. (2024). Tourists’ willingness to adopt AI in hospitality–Assumption of sustainability in developing countries. Sustainability, 16(9), Article 3663. https://doi.org/10.3390/su16093663
- Ghelani, D., & Hua, T. K. (2022). Conceptual framework of Web 3.0 and impact on marketing, artificial intelligence, and blockchain. International Journal of Information and Communication Sciences, 7(1), Article 10. https://doi.org/10.11648/j.ijics.20220701.12
- Goel, R. K., Yadav, C. S., Vishnoi, S., & Rastogi, R. (2021). Smart agriculture–Urgent need of the day in developing countries. Sustainable Computing: Informatics and Systems, 30, Article 100512. https://doi.org/10.1016/j.suscom.2020.100512
- Gupta, S., & Degbelo, A. (2023). An empirical analysis of AI contributions to sustainable cities (SDG 11). In F. Mazzi, & L. Floridi (Eds.), The ethics of artificial intelligence for the sustainable development goals (pp. 461-484). Springer. https://doi.org/10.1007/978-3-031-21147-8_25
- Gupta, S., Campos Zeballos, J., del Río Castro, G., Tomičić, A., Andrés Morales, S., Mahfouz, M., Osemwegie, I., Sessi, V. P. C., Schmitz, M., Mahmoud, N., & Inyaregh, M. (2023). Operationalizing digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development. Sustainability, 15(8), Article 6844. https://doi.org/10.3390/su15086844
- Haghshenas, S. S., Guido, G., Haghshenas, S. S., & Astarita, V. (2023). The role of artificial intelligence in managing emergencies and crises within smart cities. In Proceedings of the 8th International Conference on Intelligent Computing and Signal Processing (pp. 150-154). IEEE. https://doi.org/10.1109/ICT-DM58371.2023.10286925
- Hara, M. (2024). Roles of artificial intelligence in education for sustainable development in Asia-Pacific contexts. Global Journal of Business and Integral Security, 1(2).
- Hoang, T. D., Ky, N. M., Thuong, N. T. N., Nhan, H. Q., & Ngan, N. V. C. (2022). Artificial intelligence in pollution control and management: Status and future prospects. In H. L. Ong, R. Doong, R. Naguib, C. P. Lim, & A. K. Nagar (Eds.), Artificial intelligence and environmental sustainability: Challenges and solutions in the era of Industry 4.0 (pp. 23-43). Springer. https://doi.org/10.1007/978-981-19-1434-8_2
- Hong, Z., & Xiao, K. (2024). Digital economy structuring for sustainable development: The role of blockchain and artificial intelligence in improving supply chain and reducing negative environmental impacts. Scientific Reports, 14(1), Article 3912. https://doi.org/10.1038/s41598-024-53760-3
- Hosan, S., Karmaker, S. C., Rahman, M. M., Chapman, A. J., & Saha, B. B. (2022). Dynamic links among the demographic dividend, digitalization, energy intensity and sustainable economic growth: Empirical evidence from emerging economies. Journal of Cleaner Production, 330, Article 129858. https://doi.org/10.1016/j.jclepro.2021.129858
- Hosseini, E., & Rajabipoor Meybodi, A. (2023). Proposing a model for sustainable development of creative industries based on digital transformation. Sustainability, 15(14), Article 11451. https://doi.org/10.3390/su151411451
- Ighalo, J. O., Adeniyi, A. G., & Marques, G. (2021). Internet of things for water quality monitoring and assessment: A comprehensive review. In A. Hassanien, R. Bhatnagar, & A. Darwish (Eds.), Artificial intelligence for sustainable development: Theory, practice and future applications (pp. 245-259). Springer. https://doi.org/10.1007/978-3-030-51920-9_13
- Indrasari, M., Syamsudin, N., & Tampubolon, L. R. R. U. (2024). Enhancing SME product brand equity in the digital age as strategic approaches in the era of artificial intelligence. International Journal of Business, Law, and Education, 5(1), 1139-1152. https://doi.org/10.56442/ijble.v5i1.512
- Jabeur, S. B., Ballouk, H., Mefteh-Wali, S., & Omri, A. (2022). Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models. Technological Forecasting and Social Change, 175, Article 121353. https://doi.org/10.1016/j.techfore.2021.121353
- Jagatheesaperumal, S. K., Rahouti, M., Ahmad, K., Al-Fuqaha, A., & Guizani, M. (2021). The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions. IEEE Internet of Things Journal, 9(15), 12861-12885. https://doi.org/10.1109/JIOT.2021.3139827
- Jaiswal, A., & Arun, C. J. (2021). Potential of artificial intelligence for transformation of the education system in India. International Journal of Education and Development using Information and Communication Technology, 17(1), 142-158.
- Kazeem, K. O., Olawumi, T. O., & Osunsanmi, T. (2023). Roles of artificial intelligence and machine learning in enhancing construction processes and sustainable communities. Buildings, 13(8), Article 2061. https://doi.org/10.3390/buildings13082061
- Kittichat, C. (2024). Exploration of emerging trends and paradigms in leadership and governance research and practice in Thailand. International Journal of Leadership and Governance, 4(1), 13-26. https://doi.org/10.47604/ijlg.2393
- Kumar, N., & Chatterjee, S. (2023). Harnessing the potential of sustainable industrialization in South Asia. https://isid.org.in/wp-content/uploads/2024/02/WP275.pdf
- Larbi-Siaw, O., Xuhua, H., Owusu, E., Owusu-Agyeman, A., Fulgence, B. E., & Frimpong, S. A. (2022). Eco-innovation, sustainable business performance and market turbulence moderation in emerging economies. Technology in Society, 68, Article 101899. https://doi.org/10.1016/j.techsoc.2021.101899
- Lin, C. F., & Liu, H. W. (2018). Disruptive technologies and sustainable development: Implications for Southeast Asia. https://ink.library.smu.edu.sg/sol_research/4421
- López-Vargas, A., Ledezma, A., Bott, J., & Sanchis, A. (2021). IoT for global development to achieve the United Nations sustainable development goals: The new scenario after the COVID-19 pandemic. IEEE Access, 9, 124711-124726. https://doi.org/10.1109/ACCESS.2021.3109255
- Mahmood, H. (2022). Strategic foresight to applications of geospatial artificial intelligence (GeoAI) to achieve disaster-related sustainable development goals. https://hdl.handle.net/20.500.12870/5172
- Mandal, A., & Ghosh, A. R. (2023). Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture. Aquaculture International, 32, 2791-2820. https://doi.org/10.1007/s10499-023-01297-z
- Mhlanga, D. (2023). Artificial intelligence and machine learning in the power sector. In FinTech and artificial intelligence for sustainable development: The role of smart technologies in achieving development goals (pp. 241-261). Springer. https://doi.org/10.1007/978-3-031-37776-1_11
- Mhlanga, D., Shava, E., & Dzingirai, M. (2023). Harnessing state capability in embracing the Fourth Industrial Revolution: Is Zimbabwe prepared? In D. Mhlanga, & E. Ndhlovu (Eds.), The Fourth Industrial Revolution in Africa: Exploring the development implications of smart technologies in Africa (pp. 239-254). Springer. https://doi.org/10.1007/978-3-031-28686-5_12
- Mikic, M., & Malala, J. (2021). The impact of artificial intelligence on the future of work. In A. Argandoña, J. Malala, & R. Peatfield (Eds.), The home in the digital age (pp. 143-159). Routledge. https://doi.org/10.4324/9781003080114-8
- Mishra, H., & Maheshwari, P. (2020). Achieving sustainable development goals through Fourth Industrial Revolution: An Indian perspective. Indian Journal of Commerce and Management Studies, 11(2), 63-75. https://doi.org/10.18843/ijcms/v11i2/06
- Mukherjee, A., & Sarma, A. P. (2022). Innovation, transfer and diffusion of fourth industrial revolution (4IR) technologies to catalyze sustainable development in Asia-Pacific. https://hdl.handle.net/20.500.12870/4215
- Nabi, M. K. (2019). The impact of artificial intelligence (AI) on workforce in emerging economies. Global Journal of Management and Business Research, 19(A8), 51-59.
- Nuseir, M., Basheer, M. F., & Aljumah, A. (2020). Antecedents of entrepreneurial intentions in smart city of Neom Saudi Arabia: Does the entrepreneurial education on artificial intelligence matter? Cogent Business & Management, 7(1), Article 1825041. https://doi.org/10.1080/23311975.2020.1825041
- Nwankwo, W., & Ukhurebor, K. E. (2021, February). Nanoinformatics: Opportunities and challenges in the development and delivery of healthcare products in developing countries. IOP Conference Series: Earth and Environmental Science, 655, Article 012018. https://doi.org/10.1088/1755-1315/655/1/012018
- Nyagadza, B., Pashapa, R., Chare, A., Mazuruse, G., & Hove, P. K. (2022). Digital technologies, Fourth Industrial Revolution (4IR) & global value chains (GVCs) nexus with emerging economies’ future industrial innovation dynamics. Cogent Economics & Finance, 10(1), Article 2014654. https://doi.org/10.1080/23322039.2021.2014654
- Obaideen, K., Abdelkareem, M. A., Wilberforce, T., Elsaid, K., Sayed, E. T., Maghrabie, H. M., & Olabi, A. G. (2022). Biogas role in achievement of the sustainable development goals: Evaluation, challenges, and guidelines. Journal of the Taiwan Institute of Chemical Engineers, 131, Article 104207. https://doi.org/10.1016/j.jtice.2022.104207
- Ogie, R. I., Rho, J. C., & Clarke, R. J. (2018). Artificial intelligence in disaster risk communication: A systematic literature review. In Proceedings of the 5th International Conference on Information and Communication Technologies for Disaster Management (pp. 1-8). IEEE. https://doi.org/10.1109/ICT-DM.2018.8636380
- Ogwo, U., Ibegbulem, F., & Nwachukwu, V. N. (2023). Applications and perceived impact of artificial intelligence in academic libraries in Nigeria. Library Philosophy & Practice, Article 7907.
- Ohalete, N. C., Aderibigbe, A. O., Ani, E. C., Ohenhen, P. E., Daraojimba, D. O., & Odulaja, B. A. (2023). AI-driven solutions in renewable energy: A review of data science applications in solar and wind energy optimization. World Journal of Advanced Research and Reviews, 20(3), 401-417. https://doi.org/10.30574/wjarr.2023.20.3.2433
- Oliver, N. (2022). Artificial intelligence for social good: The way forward. https://www.undatarevolution.org/wp-content/uploads/2014/11/A-World-That-Counts.pdf
- Olubusoye, O. E., Emmanuel, P. M., Nwobi, L. D., Daramola, A., Ajulo, K. D., Adeyanju, O. T., Oyebade, B. J., Adejumo, O., & Akintande, O. J. (2023). Investigating the drivers of grid electricity demand in Nigeria: Harnessing the power of machine learning and artificial intelligence algorithms. Research Square. https://doi.org/10.21203/rs.3.rs-3578457/v1
- Philbin, S., Viswanathan, R., & Telukdarie, A. (2022). Understanding how digital transformation can enable SMEs to achieve sustainable development: A systematic literature review. Small Business International Review, 6(1), Article e473. https://doi.org/10.26784/sbir.v6i1.473
- Phillips, F., Martinez-Ramon, M., & Pu, Z. (2020). Project plan: Toward the sustainable development goals–Treating tradeoffs under political risk and technological uncertainty. In Proceedings of the ISPIM Conference (pp. 1-14). The International Society for Professional Innovation Management.
- Quimba, F. M. A., Serafica, R. B., Bayudan-Dacuycuy, C., Andrada, A. E., & Moreno, N. I. S. (2023). Green and digital: Managing the twin transition toward sustainable development. PIDS. https://doi.org/10.62986/dp2023.21
- Raihan, A. (2023). A comprehensive review of artificial intelligence and machine learning applications in the energy sector. Journal of Technology Innovations and Energy, 2(4), 1-26. https://doi.org/10.56556/jtie.v2i4.608
- Rajguru, K. (2024). Artificial intelligence and the perspective of value creation: Present research focus and future directions. In L. Matosas-López (Ed.), The impact of digitalization on current marketing strategies (pp. 163-181). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83753-686-320241010
- Rane, N. (2023). Potential role and challenges of ChatGPT and similar generative artificial intelligence in architectural engineering. SSRN. https://doi.org/10.2139/ssrn.4607767
- Rane, N., Choudhary, S., & Rane, J. (2023a). Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: Applications, framework, and challenges. International Journal of Architecture and Planning, 3(2), 92-124. https://doi.org/10.51483/IJARP.3.2.2023.92-124
- Rane, N., Choudhary, S., & Rane, J. (2023b). Sustainable tourism development using leading-edge artificial intelligence (AI), blockchain, internet of things (IoT), augmented reality (AR) and virtual reality (VR) technologies. SSRN. https://doi.org/10.2139/ssrn.4642605
- Rasheed, M. Q., Yuhuan, Z., Haseeb, A., Ahmed, Z., & Saud, S. (2024). Asymmetric relationship between competitive industrial performance, renewable energy, industrialization, and carbon footprint: Does artificial intelligence matter for environmental sustainability? Applied Energy, 367, Article 123346. https://doi.org/10.1016/j.apenergy.2024.123346
- Rios-Campos, C., Zambrano, E. O. G., Vargas, D. J. C., Merino, L. A. A., Vallejos, P. A. A., Alcantara, I. M. B., Rubio, D. E. D., Rodriguez, D. S., Tomanguilla, J. H., & Calderón, E. V. (2024). Startups and artificial intelligence. South Florida Journal of Development, 5(2), 950-969. https://doi.org/10.46932/sfjdv5n2-042
- Roppelt, J. S., Greimel, N. S., Kanbach, D. K., Stubner, S., & Maran, T. K. (2024). Artificial intelligence in talent acquisition: A multiple case study on multi-national corporations. Management Decision. https://doi.org/10.1108/MD-07-2023-1194
- Rosário, A. T., & Dias, J. C. (2023). The new digital economy and sustainability: Challenges and opportunities. Sustainability, 15(14), Article 10902. https://doi.org/10.3390/su151410902
- Saba, C. S., & Monkam, N. (2024). Leveraging the potential of artificial intelligence (AI) in exploring the interplay among tax revenue, institutional quality, and economic growth in the G-7 countries. AI & SOCIETY. https://doi.org/10.1007/s00146-024-01885-4
- Santosh, K. C., & Gaur, L. (2022). Artificial intelligence and machine learning in public healthcare: Opportunities and societal impact. Springer. https://doi.org/10.1007/978-981-16-6768-8
- Sarker, P. K. (2022). Macroeconomic effects of artificial intelligence on emerging economies: Insights from Bangladesh. Economics, Management and Sustainability, 7(1), 59-69. https://doi.org/10.14254/jems.2022.7-1.5
- Sarma, M., Matheus, T., & Senaratne, C. (2021). Artificial intelligence and cyber security: A new pathway for growth in emerging economies via the knowledge economy? In Business practices, growth and economic policy in emerging markets (pp. 51-67). https://doi.org/10.1142/9789811221750_0004
- Satornino, C. B., Du, S., & Grewal, D. (2024). Using artificial intelligence to advance sustainable development in industrial markets: A complex adaptive systems perspective. Industrial Marketing Management, 116, 145-157. https://doi.org/10.1016/j.indmarman.2023.08.001
- Sharma, S., Singh, G., Sharma, C. S., & Kapoor, S. (2024). Artificial intelligence in Indian higher education institutions: A quantitative study on adoption and perceptions. International Journal of System Assurance Engineering and Management. https://doi.org/10.1007/s13198-023-02193-8
- Srivastava, A., & Maity, R. (2023). Assessing the potential of AI–ML in urban climate change adaptation and sustainable development. Sustainability, 15(23), Article 16461. https://doi.org/10.3390/su152316461
- Taghikhah, F., Erfani, E., Bakhshayeshi, I., Tayari, S., Karatopouzis, A., & Hanna, B. (2022). Artificial intelligence and sustainability: Solutions to social and environmental challenges. In M. Asadnia, A. Razmjou, & A. Beheshti (Eds.), Artificial intelligence and data science in environmental sensing (pp. 93-108). Academic Press. https://doi.org/10.1016/B978-0-323-90508-4.00006-X
- Thanyawatpornkul, R. (2021). The role of mirror neuron morality in social awareness of Waste management A case study of empathetic variation [Doctoral dissertation, Asian Institute of Technology].
- Thanyawatpornkul, R., & Chatthong, W. (2022). Scoping review on brain mapping leadership and talent engagement. Indian Journal of Public Health Research & Development, 13(4). https://doi.org/10.37506/ijphrd.v14i4.18592
- Thanyawatpornkul, R., Siengthai, S., & Johri, L. M. (2016). Employee’s perspective towards strategy execution in facility management in Thailand. Facilities, 34(11/12), 682-702. https://doi.org/10.1108/F-09-2014-0071
- Thayyib, P. V., Mamilla, R., Khan, M., Fatima, H., Asim, M., Anwar, I., Shamsudheen, M. K., & Khan, M. A. (2023). State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: A bibliometric summary. Sustainability, 15(5), Article 4026. https://doi.org/10.3390/su15054026
- Tsolakis, N., Schumacher, R., Dora, M., & Kumar, M. (2023). Artificial intelligence and blockchain implementation in supply chains: A pathway to sustainability and data monetisation? Annals of Operations Research, 327(1), 157-210. https://doi.org/10.1007/s10479-023-05178-2
- Utina, S. S., Chusniyah, T., Inseachiangmai, J., Zahra, G. A., & Pambudi, K. S. (2024). A comparative study of artificial intelligence in education psychology: The cases of Indonesia and Thailand. Bulletin of Social Informatics Theory and Application, 8(1), 70-85.
- Walker, J., Pekmezovic, A., & Walker, G. (2019). Sustainable development goals: Harnessing business to achieve the SDGs through finance, technology and law reform. John Wiley & Sons. https://doi.org/10.1002/9781119541851
- Walshe, R., Casey, K., Kernan, J., & Fitzpatrick, D. (2020). AI and big data standardization: Contributing to United Nations sustainable development goals. Journal of ICT Standardization, 8(2), 77-106. https://doi.org/10.13052/jicts2245-800X.821
- Wongwatkit, C., Thongsibsong, N., Chomngern, T., & Thavorn, S. (2023). The future of connectivist learning with the potential of emerging technologies and AI in Thailand: Trends, applications, and challenges in shaping education. Journal of Learning Sciences and Education, 2(1), 122-154.
- Yigitcanlar, T. (2021). Greening the artificial intelligence for a sustainable planet: An editorial commentary. Sustainability, 13(24), Article 13508. https://doi.org/10.3390/su132413508
- Zhou, X., Yang, Z., Hyman, M. R., Li, G., & Munim, Z. H. (2022). Guest editorial: Impact of artificial intelligence on business strategy in emerging markets: A conceptual framework and future research directions. International Journal of Emerging Markets, 17(4), 917-929. https://doi.org/10.1108/IJOEM-04-2022-995
How to cite this article
APA
Thanyawatpornkul, R. (2024). Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand. European Journal of Sustainable Development Research, 8(4), em0273. https://doi.org/10.29333/ejosdr/15435
Vancouver
Thanyawatpornkul R. Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand. EUR J SUSTAIN DEV RES. 2024;8(4):em0273. https://doi.org/10.29333/ejosdr/15435
AMA
Thanyawatpornkul R. Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand. EUR J SUSTAIN DEV RES. 2024;8(4), em0273. https://doi.org/10.29333/ejosdr/15435
Chicago
Thanyawatpornkul, Rapeerat. "Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand". European Journal of Sustainable Development Research 2024 8 no. 4 (2024): em0273. https://doi.org/10.29333/ejosdr/15435
Harvard
Thanyawatpornkul, R. (2024). Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand. European Journal of Sustainable Development Research, 8(4), em0273. https://doi.org/10.29333/ejosdr/15435
MLA
Thanyawatpornkul, Rapeerat "Harnessing artificial intelligence for sustainable development in emerging markets: Exploring opportunities and challenges in Thailand". European Journal of Sustainable Development Research, vol. 8, no. 4, 2024, em0273. https://doi.org/10.29333/ejosdr/15435