Key Drivers of AI Utilization for Environmental Sustainability among Indonesia’s Educated Gen Z
DOI:
https://doi.org/10.55927/ajabm.v4i1.40Keywords:
Artificial Intelligence, Educated Gen Z, Green Behavior, Environmental SustainabilityAbstract
Artificial Intelligence (AI) plays an important role in shaping environmentally friendly behavior such as saving physical resources, reducing costs, and improving waste management. However, an understanding of the factors that influence The use of AI products in Educated Generation Z and their impact on environmental sustainability is still limited, especially in developing countries. To overcome this gap, this research seeks to determine and analyze the determining factors that influence the utilization of AI by Educated Gen Z and its implications for environmental sustainability in Indonesia. This research adopts a modified UTAUT Model. This research uses a PLS-SEM approach with data collected from 180 Educated Gen Z respondents, who are currently pursuing undergraduate education and have used AI. Data was collected during the period March – May 2024. These findings reveal that factors such as effort expectancy, response cost, response efficacy, and self-efficacy significantly encourage environmental sustainability among Educated Gen Z in Indonesia. This research also confirms that green behavior among Educated Gen Z in Indonesia is able to increase environmental sustainability. These findings contribute to the literature on AI and green behavior and offer valuable insights for practitioners, policymakers, and AI product developers.
References
Al-Sharafi, M. A., Al-Emran, M., Arpaci, I., Iahad, N. A., AlQudah, A. A., Iranmanesh, M., & Al-Qaysi, N. (2023). Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison. Computers in Human Behavior, 143(March), 107708. https://doi.org/10.1016/j.chb.2023.107708
Azmi, N. F., Hasan, H., & Yusoff, M. N. H. (2023). An Empirical Study of Governance Challenges: Lesson Learnt from Australian Islamic Charitable Institution. In Studies in Systems, Decision and Control (Vol. 216). https://doi.org/10.1007/978-3-031-10212-7_25
Bandura, A. (2017). Cultivate Self‐efficacy for Personal and Organizational Effectiveness. The Blackwell Handbook of Principles of Organizational Behavior, 125–141. https://doi.org/10.1002/9781405164047.ch9
Bigsby, E., & Albarracín, D. (2022). Self- and Response Efficacy Information in Fear Appeals: A Meta-Analysis. Journal of Communication, 72(2), 241–263. https://doi.org/10.1093/joc/jqab048
Bradley, G. L., Babutsidze, Z., Chai, A., & Reser, J. P. (2020). The role of climate change risk perception, response efficacy, and psychological adaptation in pro-environmental behavior: A two nation study. Journal of Environmental Psychology, 68(April). https://doi.org/10.1016/j.jenvp.2020.101410
Chillakuri, B. (2020). Understanding Generation Z expectations for effective onboarding. Journal of Organizational Change Management, 33(7), 1277–1296. https://doi.org/10.1108/JOCM-02-2020-0058
Dante M. Pirouz. (2006). An Overview of Partial Least Squares. In The Paul Merage School of Business (Vol. 23529, Issue 2).
Dewi, N., Sudrajat, A., Chairunnisa, G., Assyifa, S. N., Wulandari, N., & Rimadias, S. (2024). Stream to Shop: Perilaku Belanja Gen Z Pada Social Commerce dan Apa Yang Paling Memikat Mereka. Jurnal Manajemen Dan Pemasaran Digital, 2(3), 257–272. https://siberpublisher.org/index.php/JMPD/article/view/212
Fawehinmi, O., Yusliza, M. Y., Mohamad, Z., Noor Faezah, J., & Muhammad, Z. (2020). Assessing the green behavior of academics: The role of green human resource management and environmental knowledge. International Journal of Manpower, 41(7), 879–900. https://doi.org/10.1108/IJM-07-2019-0347
Fawehinmi, O., Yusliza, M. Y., Ogbeibu, S., Tanveer, M. I., & Chiappetta Jabbour, C. J. (2022). Academic employees’ green behavior as praxis for bolstering environmental sustainable development: A linear moderated mediation evaluation. Business Strategy and the Environment, 31(7), 3470–3490. https://doi.org/10.1002/bse.3095
Flammer, A. (2018). Self-Efficacy. International Encyclopedia of the Social & Behavioral Sciences: Second Edition, August, 504–508. https://doi.org/10.1016/B978-0-08-097086-8.25033-2
Giuliani, C., Gilodi, A., Regalia, C., Skrobanek, J., & Nienaber, B. (2023). The Lives of Third-Country National Migrant Youth in Europe: Between Perceived Vulnerabilities and Available Resources. Social Sciences, 12(10). https://doi.org/10.3390/socsci12100569
Gomes, S., Lopes, J. M., & Nogueira, S. (2023). Willingness to pay more for green products: A critical challenge for Gen Z. Journal of Cleaner Production, 390(January). https://doi.org/10.1016/j.jclepro.2023.136092
Haenlein, M., & Kaplan, A. M. (2004). A Beginner’s Guide to Partial Least Squares Analysis. Understanding Statistics, 3(4), 283–297. https://doi.org/10.1207/s15328031us0304_4
Haque, M. G., Rimadias, S., & Ernaningsih, I. (2023). From flexing to community engagement and repurchase intention: An Indonesian Muslimah luxury brand approach. Jurnal Manajemen Dan Pemasaran Jasa, 16(2), 253–270. https://doi.org/10.25105/jmpj.v16i2.18048
Hsiao, C., & B, K. C. (2020). of Negative Publicity , E-Service Quality , Perceived Risk , and Advocacy Intention in Social Network Sites (Vol. 2). Springer International Publishing. https://doi.org/10.1007/978-3-030-69514-9
Kartikasari, Y., Sunaryo, & Yuniarinto, A. (2020). the Intention To Use E-Commerce To Utaut2 Approach. Journal of Applied Management (JAM), 19(3), 605–615.
Klyver, K., Steffens, P., & Nielsen, S. L. (2023). Crisis response efficacy: Perceived ability to respond entrepreneurially to crises. Journal of Business Venturing Insights, 20(October). https://doi.org/10.1016/j.jbvi.2023.e00429
Majeed, A., & Rasheed, A. (2024). Green banking adoption in Pakistan: the UTAUT model augmented with green consumption values, environmental concerns, and collectivism culture. Journal of Environmental Planning and Management. https://doi.org/10.1080/09640568.2024.2327841
Malhotra, N. (2017). MARKETING RESEARCH: An applied orientation. Marketing Research, 2, 1–26. https://thuvienso.hoasen.edu.vn/handle/123456789/12586
MiiTel. (2024). Survei : Indonesia Peringkat 4 Negara Paling Antusias dengan. https://miitel.com/id/survei-indonesia-peringkat-4-negara-paling-antusias-dengan-ai/
Ogiemwonyi, O., Harun, A. Bin, Alam, M. N., & Othman, B. A. (2020). Do We Care about Going Green? Measuring the Effect of Green Environmental Awareness, Green Product Value and Environmental Attitude on Green Culture. An Insight from Nigeria. Environmental and Climate Technologies, 24(1), 254–274. https://doi.org/10.2478/rtuect-2020-0015
Onaolapo, S., & Oyewole, O. (2018). Performance Expectancy, Effort Expectancy, and Facilitating Conditions as Factors Influencing Smart Phones Use for Mobile Learning by Postgraduate Students of the University of Ibadan, Nigeria. Interdisciplinary Journal of E-Skills and Lifelong Learning, 14, 095–115. https://doi.org/10.28945/4085
Pertamina, U. (2024). Keren ! Gen Z Berpeluang Sebagai Pionir Gaya Hidup Berkelanjutan. https://universitaspertamina.ac.id/berita/detail/keren-gen-z-berpeluang-sebagai-pionir-gaya-hidup-berkelanjutan
Prasanta Dey, Chowdhury, Soumyadeb, Amelie, A., Yaroson, E. V., & Sarkar, S. (2020). Artificial Intelligence-Driven Supply Chain Resilience in Vietnamese Manufacturing Small- and Medium-Sized Enterprises. International Journal of Production Research, 1(1), 72–84.
Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411–435. https://doi.org/10.1108/JRIM-02-2018-0032
Rimadias, S. (2019). Aspek Penentu Niat Untuk Membeli Produk Ramah Lingkungan Pengganti Plastik Pada Milennial Di Indonesia. Ultima Management, 11(2), 77–93.
Rimadias, S., Alvionita, N., & Amelia, A. P. (2021). Using Social Media Marketing to Create Brand Awareness, Brand Image, and Brand Loyalty onTourism Sector in Indonesia. The Winners, 22(2), 173–182. https://doi.org/10.21512/tw.v22i2.7597
Rimadias, S., Werdiningsih, Y., & Baqi, A. F. (2022). Social Media Marketing on Instagram: Peran Beauty Influencer Dalam Pemasaran Scarlett Whitening Di Media Sosial Instagram. Jurnal MEBIS (Manajemen Dan Bisnis), 7(1), 88–100. https://doi.org/10.33005/mebis.v7i1.337
Sadiq, M., Adil, M., & Paul, J. (2021). Does social influence turn pessimistic consumers green? Business Strategy and the Environment, 30(7), 2937–2950. https://doi.org/10.1002/bse.2780
Sair, S. A., & Danish, R. Q. (2018). Effect of performance expectancy and effort expectancy on the mobile commerce adoption intention through personal innovativeness among Pakistani consumers. Pakistan Journal of Commerce and Social Sciences, 12(2), 501–520.
Sari, N. P. W. P., Duong, M. P. T., Li, D., Nguyen, M. H., & Vuong, Q. H. (2024). Rethinking the effects of performance expectancy and effort expectancy on new technology adoption: Evidence from Moroccan nursing students. Teaching and Learning in Nursing, 19(3), e557–e565. https://doi.org/10.1016/j.teln.2024.04.002
Sh. Ahmad, F., Rosli, N. T., & Quoquab, F. (2022). Environmental quality awareness, green trust, green self-efficacy and environmental attitude in influencing green purchase behavior. International Journal of Ethics and Systems, 38(1), 68–90. https://doi.org/10.1108/IJOES-05-2020-0072
Shafiei, A., & Maleksaeidi, H. (2020). Pro-environmental behavior of university students: Application of protection motivation theory. Global Ecology and Conservation, 22. https://doi.org/10.1016/j.gecco.2020.e00908
Song, Y., Qin, Z., & Qin, Z. (2020). Green Marketing to Gen Z Consumers in China: Examining the Mediating Factors of an Eco-Label–Informed Purchase. SAGE Open, 10(4). https://doi.org/10.1177/2158244020963573
Spears, R. (2021). Social Influence and Group Identity. Annual Review of Psychology, 72, 367–390. https://doi.org/10.1146/annurev-psych-070620-111818
Tanner, E. C., & Su, L. (2019). Reducing perceived vulnerability to increase utilization of nonprofit services. Journal of Services Marketing, 33(3), 344–355. https://doi.org/10.1108/JSM-12-2017-0434
Wang, Q., Sun, T., & Li, R. (2023). Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects. Energy and Environment. https://doi.org/10.1177/0958305X231220520
Yigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021). Green artificial intelligence: towards an efficient, sustainable and equitable technology for smart cities and futures. Sustainability (Switzerland), 13(16), 1–14. https://doi.org/10.3390/su13168952
Zatwarnicka-Madura, B., Nowacki, R., & Wojciechowska, I. (2022). Influencer Marketing as a Tool in Modern Communication—Possibilities of Use in Green Energy Promotion amongst Poland’s Generation Z. Energies, 15(18). https://doi.org/10.3390/en15186570
Zhang, Y., Quoquab, F., Zhang, J., & Mohammad, J. (2024). What does it take to drive young consumers to purchase green food? Perceived usefulness, environmental problem, or fear of pandemic recurrence? Cogent Food and Agriculture, 10(1). https://doi.org/10.1080/23311932.2024.2413917
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Santi Rimadias

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

























