The Green–Digital Nexus in Higher Education: Responsible Consumption and Digital Readiness as Complementary Pathways to Green Office Behavior
(1) Politeknik Negeri Bandung
(2) Politeknik Negeri Bandung
(3) Universitas Pelita Bangsa
(*) Corresponding Author
Abstract
Universities are strategic settings for connecting green and digital transitions, yet limited evidence explains how environmental orientations and digital capabilities jointly shape everyday campus practices. This study examines the mechanisms on the Theory of Planned Behavior, it proposes that responsible consumption supports favorable attitudes toward sustainable practices, whereas digital readiness strengthens perceived behavioral control; both mechanisms subsequently shape intention. Data were collected through a cross-sectional survey of 387 campus users at an Indonesian public vocational higher education institution. The model was tested using covariance-based structural equation modelling and 5,000 bootstrap resamples. Responsible consumption was strongly associated with attitude, while digital readiness showed a comparably strong association with perceived behavioral control. Attitude and perceived behavioral control contributed almost equally to intention. The model explained 77.5% of the variance in intention and 79.7% in behavior. Environmental awareness showed only a modest association with intention and no significant indirect association with behavior. These findings support a Green–Digital Nexus in which responsible consumption makes sustainable practices worth undertaking, while digital readiness makes them appear feasible.
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References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Blok, V., Wesselink, R., Studynka, O., & Kemp, R. (2015). Encouraging sustainability in the workplace: A survey on the pro-environmental behaviour of university employees. Journal of Cleaner Production, 106, 55–67. https://doi.org/10.1016/j.jclepro.2014.07.063
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.
Chounta, I.-A., Ortega-Arranz, A., Daskalaki, S., Dimitriadis, Y., & Avouris, N. (2024). Toward a data-informed framework for the assessment of digital readiness of higher education institutions. International Journal of Educational Technology in Higher Education, 21, Article 59. https://doi.org/10.1186/s41239-024-00491-0
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gopinathan, S., Veeraya, S., Raman, M., & Jambulingam, M. (2025). Role of behavioral intention in implementation of green information systems among Malaysians. Discover Sustainability, 6, Article 139. https://doi.org/10.1007/s43621-025-00873-y
Greaves, M., Zibarras, L. D., & Stride, C. (2013). Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. Journal of Environmental Psychology, 34, 109–120. https://doi.org/10.1016/j.jenvp.2013.02.003
Gunawan, A. I., Monoarfa, H., Gaffar, V., Suhartanto, D., & Amalia, F. A. (2024). Reviving household behavior toward waste: Driven factors of responsible consumption. Journal of the Knowledge Economy, 16(3), 13643–13666. https://doi.org/10.1007/s13132-024-02424-8
Gunawan, A. I., Hurriyati, R., Wibowo, L. A., & Monoarfa, H. (2025). Consumers in responsible consumption: What leads to sustainable behavior? Urbanization, Sustainability and Society, 2(1), 257–281. https://doi.org/10.1108/USS-09-2024-0056
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Holst, J., Grund, J., & Brock, A. (2024). Whole Institution Approach: Measurable and highly effective in empowering learners and educators for sustainability. Sustainability Science, 19(4), 1359–1376. https://doi.org/10.1007/s11625-024-01506-5
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.
Li, H., Appel-Meulenbroek, R., Arentze, T. A., & Hoes, P.-J. (2026). Conceptualizing sustainable occupant behaviour in offices from an interdisciplinary point of view: A systematic review. Energy and Built Environment, 7(1), 66–81. https://doi.org/10.1016/j.enbenv.2024.08.004
Luo, L., Yang, Q., Qiao, D., Cao, Y., Ding, J., Ma, H., & Wei, J. (2025). How does environmental education affect college students’ waste sorting behavior: A heterogeneity analysis based on educational background. Journal of Environmental Management, 389, Article 126064. https://doi.org/10.1016/j.jenvman.2025.126064
Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
Purwianti, L., Ariyanto, H. H., Winata, K., & Changbo, L. (2025). Reinforcing green consumption intentions: Attitudes as a mediator and the role of environmental concerns, lifestyles, social media, and subjective norms. IJBE (Integrated Journal of Business and Economics), 9(4), 681–699. https://doi.org/10.33019/ijbe.v9i4.1275
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Rūtelionė, A., Bhutto, M. Y., & Miceikienė, A. (2026). Green university initiatives and environmental self-identity: Waste sorting in Baltic higher education. International Journal of Sustainability in Higher Education, 27(3), 752–770. https://doi.org/10.1108/IJSHE-02-2024-0133
Salim, L., & Yulia, V. (2025). Determinants of household intention to reduce food waste in the Jabodetabek region. IJBE (Integrated Journal of Business and Economics), 9(4), 594–611. https://doi.org/10.33019/ijbe.v9i4.1183
Stuckrath, C., Rosales-Carreón, J., & Worrell, E. (2025). Conceptualisation of Campus Living Labs for the sustainability transition: An integrative literature review. Environmental Development, 54, Article 101143. https://doi.org/10.1016/j.envdev.2025.101143
Stuckrath, C., Chappin, M. M. H., & Worrell, E. (2026). Engaging campusians for sustainability: A Campus Living Lab experiment on waste sorting behaviour in university offices. Cleaner Waste Systems, 14, Article 100533. https://doi.org/10.1016/j.clwas.2026.100533
Tabares, S., Parida, V., & Chirumalla, K. (2025). Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda. Technological Forecasting and Social Change, 213, Article 123995. https://doi.org/10.1016/j.techfore.2025.123995
Trevisan, L. V., Eustachio, J. H. P. P., Dias, B. G., Leal Filho, W., & Pedrozo, E. Á. (2024). Digital transformation towards sustainability in higher education: State-of-the-art and future research insights. Environment, Development and Sustainability, 26(2), 2789–2810. https://doi.org/10.1007/s10668-022-02874-7
United Nations Environment Programme. (2024). Global Waste Management Outlook 2024: Beyond an age of waste—Turning rubbish into a resource. United Nations Environment Programme. https://www.unep.org/resources/global-waste-management-outlook-2024
Zeb, I., Khan, A., & Song, Y. (2026). Universities as living lab: International students’ perspectives on digital environmental governance—A qualitative case study. International Journal of Sustainability in Higher Education. Advance online publication. https://doi.org/10.1108/IJSHE-01-2026-0123
Zhang, B., Lai, K.-H., Wang, B., & Wang, Z. (2019). From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting? Journal of Environmental Management, 233, 447–458. https://doi.org/10.1016/j.jenvman.2018.12.059
Zhang, Y., Fu, B., Maani, S., & Wen, L. (2024). Employee energy-saving behaviors: Review of theories, influencing factors, and interventions. Renewable and Sustainable Energy Reviews, 203, Article 114766. https://doi.org/10.1016/j.rser.2024.114766
DOI: http://dx.doi.org/10.33019/ijbe.v10i4.1636
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