Adoption of the Theory of Planned Behavior Approach in Exploring the Behavior of Induction Stove Assistance Recipients in Bali
Main Article Content
Sayu Ketut Sutrisna Dewi*
I Wayan Sukerayasa
Ketut Juliartini
I Wayan Arta Wijaya
Gusti Alit Suputra
Abriansyah Harahap
Indonesia relies heavily on imported LPG with subsidies often benefiting higher-income groups. The government launched an energy transition program encouraging households to shift from LPG to induction stoves. This study investigates behavioral factors influencing induction stove adoption among assistance recipients in Bali Province, Indonesia's pilot project for the national initiative. Using the Theory of Planned Behavior (TPB) framework, a quantitative survey was conducted with 300 participants selected from 1,002 beneficiaries in Bali. Statistical analyses examined relationships among attitude toward behavior, subjective norms, perceived behavioral control, intention, and actual behavior. Attitude toward behavior, subjective norms, and perceived behavioral control significantly and positively influence adoption intention and behavior. Intention directly predicts actual induction stove use, validating TPB's applicability in this context. The TPB framework effectively explains household behavioral responses to government-led energy transition programs. However, findings are limited to Bali and require cautious generalization to other regions. This research provides policymakers valuable insights for designing effective behavioral interventions to accelerate national induction stove adoption and improve energy transition program outcomes.
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
Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
Ajzen, I. (2005). Attitudes, personality and behavior. Mapping social psychology. Maidenhead: Open University Press.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261. https://doi.org/10.1037/h0076477
Al Falah, K., Al Sughayir, A., & Albarq, A. N. (2024). The importance of environmental concern, trust and convenience in consumers’ purchase intentions of organic foods in a developing country. Cogent Business & Management, 11(1), 2361319. https://doi.org/10.1080/23311975.2024.2361319
Awinja, N. N., & Fatoki, O. I. (2021). Effect of digital financial services on the growth of SMEs in Kenya. African Journal of Empirical Research, 2(1), 79–94. https://doi.org/10.51867/ajer.v2i1.16
Botetzagias, I., Dima, A.-F., & Malesios, C. (2015). Extending the theory of planned behavior in the context of recycling: The role of moral norms and of demographic predictors. Resources, Conservation and Recycling, 95, 58–67. https://doi.org/10.1016/j.resconrec.2014.12.004
Chege, S. M., & Wang, D. (2020). The influence of technology innovation on SME performance through environmental sustainability practices in Kenya. Technology in Society, 60, 101210. https://doi.org/10.1016/j.techsoc.2019.101210
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 318–340. https://doi.org/10.2307/249008
Eelu, S., & Nakakawa, A. (2018). Framework towards enhancing adoption of electronic payment in a developing economy: a case of Uganda. The African Journal of Information Systems, 10(3), 222–245.
Fatonah, S., Yulandari, A., & Wibowo, F. W. (2018). A review of e-payment system in e-commerce. Journal of Physics: Conference Series, 1140(1), 12033. https://doi.org/10.1088/1742-6596/1140/1/012033
Gao, L., Wang, S., Li, J., & Li, H. (2017). Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces. Resources, Conservation and Recycling, 127, 107–113. https://doi.org/10.1016/j.resconrec.2017.08.030
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
Handranata, Y. W., Arief, M., Warganegara, D. L., & Hamsal, M. (2022). Does stock influencer on social media and financial well-being affect the stock market participation of the young generations during the Covid-19 pandemic? Global Business & Finance Review (GBFR), 27(5), 115–128. https://doi.org/10.17549/gbfr.2022.27.5.115
Hidayanto, A. N., Hidayat, L. S., Sandhyaduhita, P. I., & Handayani, P. W. (2015). Examining the relationship of payment system characteristics and behavioural intention in e-payment adoption: a case of Indonesia. International Journal of Business Information Systems, 19(1), 58–86. https://doi.org/10.1504/IJBIS.2015.069065
Hoang, H. C., & Chovancová, M. (2022). The theory of planned behavior and food choice questionnaire toward organic food of millennials in Vietnam. Global Business & Finance Review (GBFR), 27(4), 81–96. https://doi.org/10.17549/gbfr.2022.27.4.81
Huang, S., van der Veen, R., & Song, Z. (2018). The impact of coping strategies on occupational stress and turnover intentions among hotel employees. Journal of Hospitality Marketing & Management, 27(8), 926–945. https://doi.org/10.1080/19368623.2018.1471434
Ibrahim, D., Nurjannahe, D., Mohyi, A., Ambarwati, T., Cahyono, Y., Haryoko, A. E., Handoko, A. L., Putra, R. S., Wijoyo, H., & Ariyanto, A. (2021). The effect of digital marketing, digital finance and digital payment on finance performance of indonesian smes. International Journal of Data and Network Science, 6(1), 37–44. https://doi.org/10.5267/J.IJDNS.2021.10.006
Ifinedo, P. (2012). Facilitating the intention to expand e-business payment systems use in Nigerian small firms: an empirical analysis. E-Business-Applications and Global Acceptance, 19–40. https://doi.org/10.5772/39232
Isnanda, S. A., & Nurmala, I. (2022). Influence of attitude, subjective norm, perceived behaviour control to perform intention in prevention action of diabetes. He Indonesian Journal of Public Health, 17(1), 119–131. https://doi.org/10.20473/ijph.v17i1.2022.119-131
Jang, Y. J. (2022). Understanding restaurant customers’ environmental behavior in the social media context: An application of theory of planned behavior. Global Business & Finance Review (GBFR), 27(2), 48–60. https://doi.org/10.17549/gbfr.2022.27.2.48
Khani Jeihooni, A., Jormand, H., Saadat, N., Hatami, M., Abdul Manaf, R., & Afzali Harsini, P. (2021). The application of the theory of planned behavior to nutritional behaviors related to cardiovascular disease among the women. BMC Cardiovascular Disorders, 21(1), 589. https://doi.org/10.1186/s12872-021-02399-3
Krisdayanti, N. P. M., & Ratnadi, N. M. D. (2024). The Effect Of Behavioral Control, Organizational Commitment, Self Kefficacy, And Moral Intensity On Whistleblowing Intention. TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN, 4(4), 460–471. https://doi.org/10.55047/transekonomika.v4i4.698
Kwabena, G.-Y., Mei, Q., Ghumro, T. H., Li, W., & Erusalkina, D. (2021). Effects of a technological-organizational-environmental factor on the adoption of the mobile payment system. The Journal of Asian Finance, Economics and Business, 8(2), 329–338. https://doi.org/10.13106/jafeb.2021.vol8.no2.0329
Lim, T. S., & Qi, P. C. (2023). Investigating the antecedents of investment intention and the mediating effect of investment self-efficacy among young adults in Shandong, China. Global Business & Finance Review (GBFR), 28(2), 1–16. https://doi.org/10.17549/gbfr.2023.28.2.1
Nguyen, T. P. L., Doan, X. H., Nguyen, T. T., & Nguyen, T. M. (2021). Factors affecting Vietnamese farmers’ intention toward organic agricultural production. International Journal of Social Economics, 48(8). https://doi.org/10.1108/IJSE-08-2020-0554
Norton, T. A., Parker, S. L., Zacher, H., & Ashkanasy, N. M. (2015). Employee green behavior: A theoretical framework, multilevel review, and future research agenda. Organization & Environment, 28(1), 103–125. https://doi.org/10.1177/1086026615575773
Qalati, S. A., Li, W., Ahmed, N., Ali Mirani, M., & Khan, A. (2020). Examining the factors affecting SME performance: the mediating role of social media adoption. Sustainability, 13(1), 75. https://doi.org/10.3390/su13010075
Scott, S. V, Van Reenen, J., & Zachariadis, M. (2017). The long-term effect of digital innovation on bank performance: An empirical study of SWIFT adoption in financial services. Research Policy, 46(5), 984–1004. https://doi.org/10.1016/j.respol.2017.03.010
Shin, Y. H., & Hancer, M. (2016). The role of attitude, subjective norm, perceived behavioral control, and moral norm in the intention to purchase local food products. Journal of Foodservice Business Research, 19(4), 338–351. https://doi.org/10.1080/15378020.2016.1181506
Shufiana, A., Sulhaini, S., & Saufi, A. (2021). The influence of attitude (attd), subjective norm (sn), perceived behavioral control (pbc), and self-efficacy (se) on purchase intentions (int) and behavior (bhv) using e-commerce. International Journal of Multicultural and Multireligious Understanding, 8(12), 123–138. https://doi.org/10.18415/ijmmu.v8i12.3187
Shukla, S. (2019). A study on millennial purchase intention of green products in India: applying extended theory of planned behavior model. Journal of Asia-Pacific Business, 20(4), 322–350. https://doi.org/10.1080/10599231.2019.1684171
Siagian, M. F. R., & Adlina, H. (2025). Trust And Behavioral Intention As Predictors Of Financial Technology Adoption. Jurnal Ekonomi Kreatif Dan Manajemen Bisnis Digital, 3(4), 542–561. https://doi.org/10.55047/jekombital.v3i4.938
Sigurdardottir, S. B., Kaplan, S., Møller, M., & Teasdale, T. W. (2013). Understanding adolescents’ intentions to commute by car or bicycle as adults. Transportation Research Part D: Transport and Environment, 24, 1–9. https://doi.org/10.1016/j.trd.2013.04.008
Sivathanu, B. (2019). Adoption of digital payment systems in the era of demonetization in India: An empirical study. Journal of Science and Technology Policy Management, 10(1), 143–171. https://doi.org/10.1108/JSTPM-07-2017-0033
Su, D. N., Tran, K. P. T., Nguyen, L. N. T., Thai, T. H. T., Doan, T. H. T., & Tran, V. T. (2022). Modeling behavioral intention toward traveling in times of a health-related crisis. Journal of Vacation Marketing, 28(2), 135–151. https://doi.org/10.1177/13567667211024703
Tan, W.-L., & Goh, Y.-N. (2018). The role of psychological factors in influencing consumer purchase intention towards green residential building. International Journal of Housing Markets and Analysis, 11(5), 788–807. https://doi.org/10.1108/IJHMA-11-2017-0097
Venkatesh, Morris, Gordon, & Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27, 425–478. https://doi.org/10.2307/30036540
Xu, X., Wu, J.-H., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce? Journal of Electronic Commerce Research, 21(3), 144–167.
Yadav, R., & Pathak, G. S. (2016). Young consumers’ intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732–739. https://doi.org/10.1016/j.jclepro.2016.06.120
Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing nation: Applying and extending the theory of planned behavior. Ecological Economics, 134, 114–122. https://doi.org/10.1016/j.ecolecon.2016.12.019
Yahaya, M. L., Oyediran, O. S., & Onukuwbe, H. N. (2019). Evaluating Factors Affecting Transaction Costs of Contractors in Public Procurement in Nigeria: PLS-SEM Approach. FUTY Journal of the Environment, 13(1), 46–64. https://doi.org/10.4314/fje.v13i1
Yarmohammadi, S., Mousavi, S., Ajori, L., Mohammadzade, F., & Marashi, T. (2023). Impact of attitude, subjective norms and perceived behavioral control on health behaviors among women with low-risk HPV, and the mediating role of behavioral intention: An interventional study. International Journal of Health Promotion and Education, 61(2), 70–82. https://doi.org/10.1080/14635240.2021.1995776
Yazdanpanah, M., Abadi, B., Komendantova, N., Zobeidi, T., & Sieber, S. (2020). Some at risk for COVID-19 are reluctant to take precautions, but others are not: A case from rural in Southern Iran. Frontiers in Public Health, 8, 562300. https://doi.org/10.3389/fpubh.2020.562300
Yuan, Z., Rasiah, R., Hou, Y., & Li, S. (2023). Green Purchase Behavior in Malaysia: A Mediation Effect Analysis Based on the TPB. Environment-Behaviour Proceedings Journal, 8(26), 345–352. https://doi.org/10.21834/e-bpj.v8i26.5179
Yue, X., & Choy-Leong, Y. (2022). Academic Study of Tourists’ Pro-environmental Behaviour: A Literature Review. International Conference on Advances in Environment Research, 107–115. https://doi.org/10.1007/978-3-031-26365-1_9











