Augmented reality vs. monetary rewards: which drives pro-environmental behavior more effectively among the Indonesian workforce?
DOI: https://doi.org/10.3846/bmee.2026.22996Abstract
Purpose – This study examines how augmented reality-based green training influences pro-environmental behavior among employees in Greater Jakarta, Indonesia. It also examines the role of green commitment in shaping employees’ environmentally responsible actions. In addition, the study investigates whether green financial rewards moderate these relationships. The analysis focuses on how intrinsic and extrinsic motivations interact to influence sustainable behavior in the workplace.
Research methodology – A cross-sectional quantitative survey was conducted among 200 employees in Greater Jakarta using convenience sampling. Structural equation modeling with partial least squares was used to test the hypothesized relationships and moderating effects among the variables.
Findings – The findings show that AR-based green training has a significant positive effect on employees’ pro-environmental behavior. Green commitment also has a significant positive effect on pro-environmental behavior. Green financial rewards do not significantly moderate these relationships. The negative interaction coefficients suggest a possible crowding out effect. This implies that in practice, external motivators may dampen the effect of internal motivators, such as training and employee engagement.
Research limitations – The design of this study is cross-sectional, and this restricts the ability to conduct causal analysis. The population studied can only comprise employees within greater Jakarta, and this might restrict the overall ability to generalize findings. Future re- search focuses on studying changes over longer periods through various designs that can aid in observations over time. Results can also gain more external validity if more demographical samples get studied.
Practical implications – Implementation of organizational measures to increase the qualifications and sustainability-oriented working culture could provide the greatest benefits for the organizations. Moreover, incorporating augmented reality learning into the organizational operations could contribute to this goal. In addition, values associated with sustainability must be embedded into the organizational operations through persistent organizational communications and role-modeling by the leadership. It can be observed from the outcome measurements that the financial incentives are less effective or sometimes even decrease the internal motivation associated with pro-environmental behavior.
Originality/Value – The research adds to the topic of sustainability studies by focusing on the use of augmented reality as a novel approach to environmental education. The work also supplies empirical evidence concerning the boundary conditions of the Motivation Crowding Theory within a workplace sustainability setting.
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pro-environmental behaviour, green commitment, green training, monetary reward, augmented realityHow to Cite
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References
Afsar, B., Cheema, S., & Javed, F. (2018). Activating employee’s pro-environmental behaviors: The role of CSR, organizational identification, and environmentally specific servant leadership. Corporate Social Responsibility and Environmental Management, 25(5), 904–911. https://doi.org/10.1002/csr.1506
Ahuja, J., Yadav, M., & Sergio, R. P. (2023). Green leadership and pro-environmental behaviour: A moderated mediation model with rewards, self-efficacy and training. International Journal of Ethics and Systems, 39(2), 481–501. https://doi.org/10.1108/IJOES-02-2022-0041
Algurén, B. (2025). Toward behavioral learning outcomes: A case study of an experiential learning approach and students’ self-reported facilitators and barriers for pro-environmental behavior. International Journal of Sustainability in Higher Education, 26(9), 265–280. https://doi.org/10.1108/IJSHE-01-2025-0063
Alt, M., & Gallier, C. (2021). Incentives and intertemporal behavioral spillovers: A two-period experiment on charitable giving (ZEW – Centre for European Economic Research Discussion Paper No. 21–010). SSRN. https://doi.org/10.2139/ssrn.3787930
Ariza-Colpas, P. P., Piñeres-Melo, M. A., Morales-Ortega, R. C., Rodríguez-Bonilla, A. F., Butt-Aziz, S., Naz, S., Contreras-Chinchilla, L. del C., Romero-Mestre, M., & Vacca Ascanio, R. A. (2024). Sustainability in hybrid technologies for heritage preservation: A scientometric study. Sustainability, 16(5), Article 1991. https://doi.org/10.3390/su16051991
Arya, B., & Chaturvedi, S. (2020). Extending the theory of planned behaviour to explain energy saving behaviour. Environmental and Climate Technologies, 24(1), 516–528. https://doi.org/10.2478/rtuect-2020-0032
Ateş, H. (2020). Merging theory of planned behavior and value identity personal norm model to explain pro-environmental behaviors. Sustainable Production and Consumption, 24, 169–180. https://doi.org/10.1016/j.spc.2020.07.006
Batool, N., Wani, M. D., Shah, S. A., & Dada, Z. A. (2024). Theory of planned behavior and value-belief norm theory as antecedents of pro-environmental behaviour: Evidence from the local community. Journal of Human Behavior in the Social Environment, 34(5), 693–709. https://doi.org/10.1080/10911359.2023.2205912
Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Springer. https://doi.org/10.1007/978-94-007-6857-4
Cho, Y., & Park, K. S. (2023). Designing immersive virtual reality simulation for environmental science education. Electronics, 12(2), Article 315. https://doi.org/10.3390/electronics12020315
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage.
De Almeida Barbosa Franco, J., Franco Junior, A., Battistelle, R. A. G., & Bezerra, B. S. (2024). Dynamic capabilities: Unveiling key resources for environmental sustainability and economic sustainability, and corporate social responsibility towards sustainable development goals. Resources, 13(2), Article 22. https://doi.org/10.3390/resources13020022
Donmez-Turan, A., & Kiliclar, I. E. (2021). The analysis of pro-environmental behaviour based on ecological worldviews, environmental training/ knowledge and goal frames. Journal of Cleaner Production, 279, Article 123518. https://doi.org/10.1016/j.jclepro.2020.123518
Ebinger, F., Buttke, L., & Kreimeier, J. (2022). Augmented and virtual reality technologies in education for sustainable development: An expert-based technology assessment. Zeitschrift Fur Technikfolgenabschatzung in Theorie Und Praxis / Journal for Technology Assessment in Theory and Practice, 31(1), 28–34. https://doi.org/10.14512/tatup.31.1.28
Ekasari, A., & Zaini, S. M. (2020). Moral norm and theory of planned behavior: The intention to use eco-friendly reusable bag. Indonesian Journal of Sustainability Accounting and Management, 4(1), 56–63. https://doi.org/10.28992/ijsam.v4i1.94
Espín, J. A. G., & Zabaleta, A. P. (2025). Analysis of the relationships between sustainable development goals, sustainable development and organizational results: An empirical study. Sustainable Development, 1–20. https://doi.org/10.1002/sd.70240
Foster, B., Muhammad, Z., Yusliza, M. Y., Faezah, J. N., Johansyah, M. D., Yong, J. Y., Ul-Haque, A., Saputra, J., Ramayah, T., & Fawehinmi, O. (2022). Determinants of pro-environmental behaviour in the workplace. Sustainability, 14(8), Article 4420. https://doi.org/10.3390/su14084420
Geriş, A., Çukurbaşı, B., Tunga, Y., & Engin, G. (2024). Sustainable educational virtual reality environments: Development, integration, and pedagogical alignment. Odu Sobiad, 15(2), 1212–1229. https://doi.org/10.48146/odusobiad.1544365
Ghozali, I. (2021). Partial least squares: Konsep, teknik, dan aplikasi menggunakan program SmartPLS 3.2.9 untuk penelitian empiris [Partial least squares: Concepts, techniques, and applications using SmartPLS 3.2.9 for empirical research] (3rd ed.). Badan Penerbit Universitas Diponegoro.
Gomes, S., Lopes, J. M., Travassos, M., Paiva, M., Cardoso, I., Peixoto, B., & Duarte, C. (2023). Strategic organizational sustainability in the age of sustainable development goals. Sustainability, 15(13), Article 10053. https://doi.org/10.3390/su151310053
Graafland, J., & Bovenberg, L. (2020). Government regulation, business leaders’ motivations and environmental performance of SMEs. Journal of Environmental Planning and Management, 63(8), 1335–1355. https://doi.org/10.1080/09640568.2019.1663159
Graafland, J., & de Bakker, F. G. A. (2021). Crowding in or crowding out? How non-governmental organizations and media influence intrinsic motivations toward corporate social and environmental responsibility. Journal of Environmental Planning and Management, 64(13), 2386–2409. https://doi.org/10.1080/09640568.2021.1873110
Hameed, R., Mahmood, A., & Shoaib, M. (2022). The role of green human resource practices in fostering green corporate social responsibility. Frontiers in Psychology, 13, Article 792343. https://doi.org/10.3389/fpsyg.2022.792343
Hayyat, A., Khan, H. A., Shafiq, M. A., Rehman, Z.-U., & Ziaullah, M. (2023). Does employee’s green commitments and green attitude mediate the relationship of green HRM practices and pro-environmental behaviour: Evidence from TEVT sector Southern Punjab, Pakistan. Journal of Social Sciences Review, 3(2), 190–210.
Holuša, V., Vaněk, M., Beneš, F., Švub, J., & Staša, P. (2023). Virtual reality as a tool for sustainable training and education of employees in industrial enterprises. Sustainability, 15(17), Article 12886. https://doi.org/10.3390/su151712886
Kee, T., & Zhang, H. (2022). Digital experiential learning for sustainable horticulture and landscape management education. Sustainability, 14(15), Article 9116. https://doi.org/10.3390/su14159116
Khrais, L. T. (2025). In electronic environment of bridging green education and performance: The transformative role of augmented reality technology in sustainable environmental learning. International Journal of Innovative Research and Scientific Studies, 8(1), 1602–1612. https://doi.org/10.53894/ijirss.v8i1.4706
Kim, M., & Lee, S.-M. (2022). Drivers and interrelationships of three types of pro-environmental behaviors in the workplace. International Journal of Contemporary Hospitality Management, 34(5), 1854–1881. https://doi.org/10.1108/IJCHM-09-2021-1094
Ladykova, T. I., Sokolova, E. I., Grebenshchikova, L. Y., Sakhieva, R. G., Lapidus, N. I., & Chereshneva, Y. V. (2024). Augmented reality in environmental education: A systematic review. Eurasia Journal of Mathematics, Science and Technology Education, 20(8), Article em2488. https://doi.org/10.29333/ejmste/14914
Latini, A., Di Giuseppe, E., Marcelli, L., & D’Orazio, M. (2025). Immersive virtual training environment to improve building users’ awareness of energy-related behaviour: Development and pilot testing. Sustainability, 17(9), Article 4025. https://doi.org/10.3390/su17094025
Liu, P., Teng, M., & Han, C. (2020). How does environmental knowledge translate into pro-environmental behaviors?: The mediating role of environmental attitudes and behavioral intentions. Science of the Total Environment, 728, Article 138126. https://doi.org/10.1016/j.scitotenv.2020.138126
Lliso, B., Arias-Arévalo, P., Maca-Millán, S., Engel, S., & Pascual, U. (2022). Motivational crowding effects in payments for ecosystem services: Exploring the role of instrumental and relational values. People and Nature, 4(2), 312–329. https://doi.org/10.1002/pan3.10280
Madero-Gómez, S. M., Rubio Leal, Y. L., Olivas-Luján, M., & Yusliza, M. Y. (2023). Companies could benefit when they focus on employee wellbeing and the environment: A systematic review of sustainable human resource management. Sustainability, 15(6), Article 5435. https://doi.org/10.3390/su15065435
Mansoor, M., & Wijaksana, T. I. (2023). Predictors of pro-environmental behavior: Moderating role of knowledge sharing and mediatory role of perceived environmental responsibility. Journal of Environmental Planning and Management, 66(5), 1089–1107. https://doi.org/10.1080/09640568.2021.2016380
Marsiglio, S., & Tolotti, M. (2020). Motivation crowding-out and green-paradox-like outcomes. Journal of Public Economic Theory, 22(5), 1559–1583. https://doi.org/10.1111/jpet.12444
Mohamad, N. I., Mokhtar, A., Rahman, I. A., & Othman, A. S. (2024). Development of a structural model for sustainable environment training and knowledge transfer. In R. Nafea, S. Faizal, D. Jelonek, N. Kumar, J. P. Sankar, & I. Pawełoszek (Eds.), Sustainable innovations in management in the digital transformation era: Digital management sustainability (pp. 114–128). Routledge. https://doi.org/10.4324/9781003450238-12
Muhammad Ali, Q., & Nisar, Q. A. (2023). Nexus between green human resource management and environmental performance: A green approach for higher education institutes. Kybernetes, 52(11), 5706–5729. https://doi.org/10.1108/K-01-2022-0023
Mulders, M., & Träg, K. H. (2023). Presence and flow as moderators in XR-based sustainability education. Sustainability, 15(23), Article 16496. https://doi.org/10.3390/su152316496
Mulders, M., Träg, K. H., & Kirner, L. (2025). Go green: Evaluating an XR application on biodiversity in German secondary school classrooms. Instructional Science, 53, 429–455. https://doi.org/10.1007/s11251-024-09697-1
Negi, S. K. (2024). Exploring the impact of virtual reality and augmented reality technologies in sustainability education on green energy and sustainability behavioral change: A qualitative analysis. Procedia Computer Science, 236, 550–557. https://doi.org/10.1016/j.procs.2024.05.065
Odhiambo, G. M., Waiganjo, E., & Simiyu, A. N. (2023a). Incentivizing employee pro-environmental behaviour: Harnessing the potential of green rewards. African Journal of Empirical Research, 4(2), 601–611. https://doi.org/10.51867/ajernet.4.2.60
Odhiambo, G. M., Waiganjo, E. W., & Simiyu, A. N. (2023b). Green employee training – a remedy for environmental behaviour: The case of public universities in Kenya. European Journal of Business and Management Research, 8(5), 224–233. https://doi.org/10.24018/ejbmr.2023.8.5.2142
Olaiya, T. O., & Olaosebikan, J. S. (2022). Green training and development: Mediating role of employee pro-environmental behaviour in achieving environmental sustainability in a selected manufacturing company in Nigeria. The Seybold Report Journal, 17(10), 1100–1118. https://doi.org/10.5281/zenodo.7253635
Onabowale, O. (2025). Unveiling energy finance: Capital dynamics and market influence on financial achievement. International Research Journal of Modernization in Engineering Technology and Science, 7(1), 4450–4466.
Ozturk, E., & Akcay, G. (2023). Can environmental education supported by augmented reality (AR) applications improve the environmental awareness of primary school students? The Eurasia Proceedings of Educational and Social Sciences, 31, 216–229. https://doi.org/10.55549/epess.1381983
Portillo, F., Alcayde, A., Garcia, R. M., Fernandez-Ros, M., Gazquez, J. A., & Novas, N. (2024). Life cycle assessment in renewable energy: Solar and wind perspectives. Environments, 11(7), Article 147. https://doi.org/10.3390/environments11070147
Rashid, A., Rasheed, R., Albhirat, M. M., & Amirah, N. A. (2024). Conservation of resources for sustainable performance in tourism. Journal of Tourism Management Research, 11(1), 123–139. https://doi.org/10.18488/31.v11i1.3782
Saeed, B. B., Afsar, B., Hafeez, S., Khan, I., Tahir, M., & Afridi, M. A. (2019). Promoting employee’s proenvironmental behavior through green human resource management practices. Corporate Social Responsibility and Environmental Management, 26(2), 424–438. https://doi.org/10.1002/csr.1694
Sahib, A., Waahib, N. J., Syahputra, M., Aminah, A., & Prastawa, S. (2024). The future of AR-driven immersive classrooms: Pedagogical impacts for the next generation. Journal Emerging Technologies in Education, 2(5), 382–394.
Saleem, M., Qadeer, F., Mahmood, F., Han, H., Giorgi, G., & Ariza-Montes, A. (2021). Inculcation of green behavior in employees: A multilevel moderated mediation approach. International Journal of Environmental Research and Public Health, 18(1), Article 331. https://doi.org/10.3390/ijerph18010331
Sarfraz, M., Ozturk, I., Yoo, S., Raza, M. A., & Han, H. (2023). Toward a new understanding of environmental and financial performance through corporate social responsibility, green innovation, and sustainable development. Humanities and Social Sciences Communications, 10, Article 297. https://doi.org/10.1057/s41599-023-01799-4
Sarstedt, M., Hult, G. T. M., Ringle, C. M., & Hair, J. F. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Savari, M., Damaneh, H. E., Damaneh, H. E., & Cotton, M. (2023). Integrating the norm activation model and theory of planned behaviour to investigate farmer pro-environmental behavioural intention. Scientific Reports, 13(1), Article 5584. https://doi.org/10.1038/s41598-023-32831-x
Sharpe, E., Ruepert, A., van der Werff, E., & Steg, L. (2022). Corporate environmental responsibility leads to more pro-environmental behavior at work by strengthening intrinsic pro-environmental motivation. One Earth, 5(7), 825–835. https://doi.org/10.1016/j.oneear.2022.06.006
Silvi, M., & Padilla, E. (2021). Pro-environmental behavior: Social norms, intrinsic motivation and external conditions. Environmental Policy and Governance, 31(6), 619–632. https://doi.org/10.1002/eet.1960
Simon, P. D., Zhong, Y., Cruz, I. C. D., & Fryer, L. K. (2025). Scoping review of research on augmented reality in environmental education. Journal of Science Education and Technology, 34(4), 919–935. https://doi.org/10.1007/s10956-025-10218-z
Şimşek, E. E. (2024). The use of augmented reality-supported activities in environmental education for early childhood: A quasi-experimental study. Sustainability, 16(23), Article 10374. https://doi.org/10.3390/su162310374
Steinhorst, J., & Klöckner, C. A. (2018). Effects of monetary versus environmental information framing: Implications for long-term pro-environmental behavior and intrinsic motivation. Environment and Behavior, 50(9), 997–1031. https://doi.org/10.1177/0013916517725371
Sumintono, B. (2014). Model Rasch untuk penelitian ilmu-ilmu sosial [The Rasch model for social science research]. Trim Komunikata Publisher.
Thevanes, N., & Arulrajah, A. A. (2020). Environmental training and environmental orientation of organization: The mediating role of environmental behavior of employee. Sri Lankan Journal of Human Resource Management, 10(2), 46–62. https://doi.org/10.4038/sljhrm.v10i2.5643
Usman, M., Rofcanin, Y., Ali, M., Ogbonnaya, C., & Babalola, M. T. (2023). Toward a more sustainable environment: Understanding why and when green training promotes employees’ eco-friendly behaviors outside of work. Human Resource Management, 62(3), 355–371. https://doi.org/10.1002/hrm.22148
Valladares Ríos, L., Acosta-Diaz, R., & Santana-Mancilla, P. C. (2023). Enhancing self-learning in higher education with virtual and augmented reality role games: Students’ perceptions. Virtual Worlds, 2(4), 343–358. https://doi.org/10.3390/virtualworlds2040020
Wang, H., & Mangmeechai, A. (2021). Understanding the gap between environmental intention and pro-environmental behavior towards the waste sorting and management policy of China. International Journal of Environmental Research and Public Health, 18(2), Article 757. https://doi.org/10.3390/ijerph18020757
Widianto, S., Kautsar, A. P., Sriwidodo, Abdulah, R., & Ramadhina, R. (2021). Pro-environmental behaviour of healthcare professionals: A study applying theory of planned behaviour. International Journal of Business and Globalisation, 28(3), 219–232. https://doi.org/10.1504/IJBG.2021.115562
Xie, J., & Lu, C. (2022). Relations among pro-environmental behavior, environmental knowledge, environmental perception, and post-materialistic values in China. International Journal of Environmental Research and Public Health, 19(1), Article 537. https://doi.org/10.3390/ijerph19010537
Yafi, E., Tehseen, S., & Haider, S. A. (2021). Impact of green training on environmental performance through mediating role of competencies and motivation. Sustainability, 13(10), Article 5624. https://doi.org/10.3390/su13105624
Zulkepeli, L., Fauzi, M. A., Mohd Suki, N., Ahmad, M. H., Wider, W., & Rahamaddulla, S. R. (2024). Pro-environmental behavior and the theory of planned behavior: A state of the art science mapping. Management of Environmental Quality, 35(6), 1415–1433. https://doi.org/10.1108/MEQ-10-2023-0361
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