USER SATISFACTION WITH THE CHAT GPT IN ATTAINING SUSTAINABLE DEVELOPMENT GOALS
DOI:
https://doi.org/10.35120/sciencej040485eKeywords:
Sustainable Development Goals, Ghat GTP, user satisfaction, SERQUAL modelAbstract
The emergence of artificial intelligence, particularly with the popular tool Chat GPT, has had a profound impact on all aspects of human existence. At the same time, the concept of sustainable development has undergone significant evolution in recent decades, with deepened theoretical understanding and widespread application in academic, institutional, and practical contexts. This evolution has been driven by the fear of depleting resources for future generations. The concept of sustainability is rooted in the idea of balanced economic development, social well-being, and environmental preservation. In modern socio-economic processes, the concept of sustainable development plays a crucial role, as evidenced by the adoption of the Sustainable Development Goals (SDGs) as a fundamental framework for national economies and the planet as a whole. The 5.0 industrial revolution has further integrated the need for continued development of AI and sustainable practices. The aim of this paper is to assess the level of satisfaction of ChatGPT users in achieving the SDGs. In order to consider both divergent and convergent interpretive directions, various methodological approaches to theoretical concepts were utilized. Empirical research was conducted using an adapted version of the SERQUAL model, with each dimension of the model being applied to the Chat GPT. The study collected primary data from a sample of 250 respondents. The results obtained were processed by calculating the difference between the average values of perceived and expected grades, and by conducting a t-test for dependent (paired) samples. The findings indicate that the respondents expressed a high level of satisfaction with the dimensions of reliability, responsiveness, assurance, and empathy. However, there was a lower level of satisfaction in the dimension of tangibility, suggesting a certain level of dissatisfaction. A statistically significant difference was found between the perceived and expected level of service in all dimensions, except for tangibles, where no significant difference was observed. Future research should examine this topic across at least five countries and enhance the sample size to 500 participants to provide a more comprehensive understanding of the user satisfaction with Ghat GTP in the achievement of the SDGs. Additionally, optimizing the user experience may be necessary to improve the values in the tangibles dimension.
Downloads
References
Bhaskar, P., & Seth, N. (2024). Environment and sustainability development: A ChatGPT perspective. In Applied Data Science and Smart Systems (pp. 54-62). CRC Press. DOI: https://doi.org/10.1201/9781003471059-8
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. DOI: https://doi.org/10.1016/j.ijinfomgt.2023.102642
Egbemhenghe, A. U., Ojeyemi, T., Iwuozor, K. O., Emenike, E. C., Ogunsanya, T. I., Anidiobi, S. U., & Adeniyi, A. G. (2023). Revolutionizing water treatment, conservation, and management: Harnessing the power of AI-driven ChatGPT solutions. Environmental Challenges, 13, 100782. DOI: https://doi.org/10.1016/j.envc.2023.100782
Erić, I., Milanović, T., Petković, Z., & Jovanović, R. (2024). Innovations in education as the basis of sustainable development. KNOWLEDGE-International Journal, 66(2), 199-205.
FORBS Srbija. (2024). Retrieved from https://forbes.n1info.rs/vesti/srbija-prva-u-regionu-a-35-u-svetu-po-dostizanju-ciljeva-odrzivog-razvoja/ on 15.09.2025.
Gudelj, I. (2019). "Stručni prikaz: Ciljevi održivog razvoja-provedba na globalnoj razini i provedbeni status u Republici Hrvatskoj."Hrvatske vode 27.109: 245-0.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. OECD Education Working Papers
Hussein, H., Gordon, M., Hodgkinson, C., Foreman, R., & Wagad, S. (2025). ChatGPT’s Impact Across Sectors: A Systematic Review of Key Themes and Challenges. Big Data and Cognitive Computing, 9(3), 56. DOI: https://doi.org/10.3390/bdcc9030056
Ilafi, B. S., & Nurrohim, A. (2024). Gender Interpretation Based on Artificial Intelligence: Between Chat GPT and Meta AI. Proceeding ISETH (International Summit on Science, Technology, and Humanity), 858-870. DOI: https://doi.org/10.23917/iseth.5472
Khanifar, J. (2025). Evaluating AI-generated responses from different chatbots to soil science-related questions. Soil Advances, 3, 100034. DOI: https://doi.org/10.1016/j.soilad.2025.100034
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26-29 DOI: https://doi.org/10.1108/LHTN-01-2023-0009
Milanović, T., & Erić, I. (2024) Potreba, značaj i važnost obrazovanja u oblasti održivog razvoja, Treća međunarodna naučno-stručna konferencija BELECON 2024, Beogradska akademija poslovnih i umetničkih strukovnih studija, Beograd, 2. jun 2024. ISBN 978-86-7169-654-0.
Milmo, D. (2023) ChatGPT reaches 100 million users two months after launch. Guardian 2023, 3, 1017–1054.
Musarat, M. A., Irfan, M., Alaloul, W. S., Maqsoom, A., & Ghufran, M. (2023). A review on the way forward in construction through industrial revolution 5.0. Sustainability, 15(18), 13862. DOI: https://doi.org/10.3390/su151813862
Nguyen, M. T., Thach, K. T. D., Nguyen, C. N. L., Nguyen, A. C., & Doan, H. K. (2025). The Influence of AI Chatbots on Green Satisfaction and Loyalty: Evidence from Sustainability-Driven Consumer Behavior. Journal of Global Marketing, 1-30. DOI: https://doi.org/10.1080/08911762.2025.2503495
Parasuraman, A. B. L. L., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Rahmat, S. R., Ann, L. C., & Carrillo, T. O. (2025). Transformative AI: Enhancing Economic and Social Sustainability in Emerging Economies. In Artificial Intelligence and SMEs in Developing Economies (pp. 54-64). Routledge. DOI: https://doi.org/10.4324/9781003585695-3
Rane, N. (2023). Roles and challenges of ChatGPT and similar generative artificial intelligence for achieving the sustainable development goals (SDGs). Available at SSRN 4603244. DOI: https://doi.org/10.2139/ssrn.4603244
Shafik, W. (2025). SDG 16: Peace, Justice, and Strong Institutions—Digital Tools for Good Governance. In Factoring Technology in Global Sustainability: A Focus on the Sustainable Development DOI: https://doi.org/10.1007/978-981-96-7299-8_16
Shi, Z., & Shang, H. (2020, July). A review on quality of service and servqual model. In International Conference on Human-Computer Interaction (pp. 188-204). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-50341-3_15
Singh, J., Sillerud, B., & Singh, A. (2023). Artificial intelligence, chatbots and ChatGPT in healthcare—narrative review of historical evolution, current application, and change management approach to increase adoption. Journal of Medical Artificial Intelligence, 6, 30-45. DOI: https://doi.org/10.21037/jmai-23-92
Sood, A., Bhardwaj, A. K., & Sharma, R. K. (2023). Perceptions of facilitators towards adoption of AI-based solutions for sustainable agriculture. Journal of Decision Systems, 1-35. DOI: https://doi.org/10.1080/12460125.2023.2294398
Tan, Y. (2024). Challenges of ChatGPT in Achieving a Better Life for the People and the Coping Strategies. Journal of Southwest University Social Science Edition, 50(6), 155-165.
United Nations. (2016). Sustainable development goals. Retrieved from http://www.un.org/sustainabledevelopment/.
Wang, R., Li, C., Li, X., Deng, R., & Dong, Z. (2023). GenAI4Sustainability: GPT and its potentials for achieving UN's sustainable development goals. IEEE/CAA Journal of Automatica Sinica, 10(12), 2179-2182. DOI: https://doi.org/10.1109/JAS.2023.123999
WCED, S. W. S. (1987). World commission on environment and development. Our common future, 17, 1-91.
World population Review. (2025). https://worldpopulationreview.com/country-rankings/poorest-countries-in-europe
Young, K. S., Lee, S. G., & Hong, G. Y. (2024). User satisfaction with the service quality of ChatGPT. Service Business, 18(3), 417-431. DOI: https://doi.org/10.1007/s11628-024-00566-y
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



