Enhancing energy-efficient home appliance adoption: Media publicity strategies and planned behavior theory

Andika Andika; Muinah Fadhilah; Della Nanda Luthfiana; Nadia Nadia; Malik Abd Karim Amirullah

doi:10.20885/AMBR.vol4.iss2.art5

Submitted

May 26, 2024

Accepted

July 3, 2024

Published

August 15, 2024

Download

Full text PDF

Statistic

Read Counter : 275 Download : 304

Downloads

Abstract

Adopting energy-efficient home appliances is one of the critical strategies for supporting environmental protection through reducing energy consumption. This study aims to identify factors contributing to consumers’ intentions to adopt energy-efficient household appliances (EEHA) in Indonesia, particularly in Java, a representative area of energy consumption in the country. Adopting the Theory of Planned Behavior (TPB) as the main theoretical framework, the study expands the model to include media publicity (MP) variables as external factors. The survey method was applied to 200 respondents, and the collected data were analyzed using the Structural Equation Modeling (SEM) technique through Smart-PLS 4. The results revealed that consumer attitudes (CA), perceived behavioral control (PBC), and subjective norms (SN) significantly affected consumers’ intentions in adopting EEHA. Furthermore, the study found that MP significantly influences CA. Likewise, as we expected, MP significantly affected PBC and SN, marking the first time this relationship has been identified in the context of the adoption of EEHA. Based on these findings, we discuss some of the implications for policymakers, marketers, and environmental practitioners in promoting the adoption of EEHA to accelerate the transition to more sustainable energy consumption in households.

Keywords

Media publicity theory of planned behavior energy-efficient home appliances intention to buy

License

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

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

How to Cite

Andika, A., Fadhilah, M., Luthfiana, D. N., Nadia, N., & Amirullah, M. A. K. (2024). Enhancing energy-efficient home appliance adoption: Media publicity strategies and planned behavior theory. Asian Management and Business Review, 4(2), 241–259. https://doi.org/10.20885/AMBR.vol4.iss2.art5

Download Citation

References

Abrahamse, W. (2019). Understanding the Drivers of Human Behaviour. In Encouraging Pro-Environmental Behaviour: What Works, What Doesn't, and Why (pp. 11–25). London: Academic Press. https://doi.org/10.1016/b978-0-12-811359-2.00002-0
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Kuhl J., & Beckmann, J. (Eds.), Action Control: From Cognition to Behavior (pp. 11-39). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-69746-3
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.47985/dcidj.475
Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453–474. https://doi.org/https://doi.org/10.1016/0022-1031(86)90045-4
Akadiri, S. Saint, Adebayo, T. S., Nakorji, M., Mwakapwa, W., Inusa, E. M., & Izuchukwu, O. O. (2022). Impacts of globalization and energy consumption on environmental degradation: What is the way forward to achieving environmental sustainability targets in Nigeria? Environmental Science and Pollution Research, 29(40), 60426–60439. https://doi.org/10.1007/s11356-022-20180-7
Ali, M. R., Shafiq, M., & Andejany, M. (2021). Determinants of consumers’ intentions towards the purchase of energy efficient appliances in pakistan: An extended model of the theory of planned behavior. Sustainability (Switzerland), 13(2), 1–17. https://doi.org/10.3390/su13020565
Ali, S., Ullah, H., Akbar, M., Akhtar, W., & Zahid, H. (2019). Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Sustainability (Switzerland), 11(5), 1–20. https://doi.org/10.3390/su11051462
Andika, Luthfiana, D. N., Nadia, & Kartinah. (2023a). Green purchase behavior: The role of green advertising, green awareness, and eco-literacy. IOP Conference Series: Earth and Environmental Science, 1181(1), 1–6. https://doi.org/10.1088/1755-1315/1181/1/012025
Andika, Nadia, Najmudin, M., & Hasibuan, A. B. (2023b). Green cosmetics in Indonesia: Unraveling attitude-behavior gap and gender moderation. Jurnal Aplikasi Bisnis, 21(4), 1134–1152. https://doi.org/http://dx.doi.org/10.21776/ub.jam. 2023.021.04.20.
Apipuchayakul, N., & Vassanadumrongdee, S. (2020). Factors affecting the consumption of energy-efficient lighting products: Exploring purchase behaviors of Thai consumers. Sustainability (Switzerland), 12(12), 1–16. https://doi.org/10.3390/SU12124887
Ashraf Fauzi, M., Hanis Zainal Abidin, N., Mohd Suki, N., & Mokhtar Albshir Budiea, A. (2023). Residential rooftop solar panel adoption behavior: Bibliometric analysis of the past and future trends. Renewable Energy Focus, 45, 1–9. https://doi.org/https://doi.org/10.1016/j.ref.2023.02.002
Baldini, M., Trivella, A., & Wente, J. W. (2018). The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark. Energy Policy, 120(October 2017), 503–513. https://doi.org/10.1016/j.enpol.2018.05.048
Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203. https://doi.org/10.1016/j.jenvp.2007.04.001
Bhutto, M. Y., Liu, X., Soomro, Y. A., Ertz, M., & Baeshen, Y. (2021). Adoption of energy‐efficient home appliances: Extending the theory of planned behavior. Sustainability (Switzerland), 13(1), 1–23. https://doi.org/10.3390/su13010250
Bhutto, M. Y., Soomro, Y. A., & Yang, H. (2022). Extending the theory of planned behavior: Predicting young consumer purchase behavior of energy-efficient appliances (Evidence from developing economy). SAGE Open, 12(1). https://doi.org/10.1177/21582440221078289
Cattaneo, C. (2019). Internal and external barriers to energy efficiency: Which role for policy interventions? Energy Efficiency, 12(5), 1293–1311. https://doi.org/10.1007/s12053-019-09775-1
Cheng, E. W. L. (2019). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development, 67(1), 21–37. https://doi.org/10.1007/s11423-018-9598-6
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Marcoulides, G. A. (Ed.), Modern Methods for Business Research. New Jersey: Lawrence Erlbaum Associates, Inc. https://doi.org/10.4324/9781410604385-10
Daroch, B., Nagrath, G., & Gupta, A. (2021). A study on factors limiting online shopping behaviour of consumers. Rajagiri Management Journal, 15(1), 39–52. https://doi.org/10.1108/ramj-07-2020-0038
EIA. (2023). Electricity consumption in the United States was about 4 trillion kilowatthours (kWh) in 2022. Retrieved from https://www.eia.gov/energyexplained/electricity/use-of-electricity.php
Enerdata. (2022). Indonesia Energy Information. Retrieved from https://www.enerdata.net/estore/energy-market/indonesia/
Enerdata. (2023). Germany Energy Information. Retrieved from https://www.enerdata.net/estore/energy-market/germany/
Finlay, K. A., Trafimow, D., & Moroi, E. (1999). The importance of subjective norms on intentions to perform health behaviors. Journal of Applied Social Psychology, 29(11), 2381–2393. https://doi.org/10.1111/j.1559-1816.1999.tb00116.x
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, Massachusetts: Addison-Wesley Publishing Company.
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi/abs/10.1177/002224378101800104
Gayatri, G., Alversia, Y., & Astuti, R. D. (2021). The influence of attitude and subjective norms on student’s (future) intention and future decision of higher level studies: A case study of five universities with BHMN status in Indonesia. ASEAN Marketing Journal, 2(1), 4. https://doi.org/10.21002/amj.v2i1.1991
Hair, Hult, Ringle, & Sarstedt. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), second edition. California, USA: SAGE Publications, Inc.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J., Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced Issues in Partial Least Squares Structural Equation Modeling, second edition. USA: SAGE Publications, Inc.
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3(February), 275–285. https://doi.org/10.1016/j.susoc.2022.05.004
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
Hesselink, L. X. W., & Chappin, E. J. L. (2019). Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies. Renewable and Sustainable Energy Reviews, 99(March 2018), 29–41. https://doi.org/10.1016/j.rser.2018.09.031
Hossain, I., Fekete-Farkas, M., & Nekmahmud, M. (2022). Purchase behavior of energy-efficient appliances contribute to sustainable energy consumption in developing country: Moral norms extension of the theory of planned behavior. Energies, 15(13), 4600. https://doi.org/10.3390/en15134600
Hua, L., & Wang, S. (2019). Antecedents of consumers’ intention to purchase energy-efficient appliances: An empirical study based on the technology acceptance model and theory of planned behavior. Sustainability (Switzerland), 11(10), 2994. https://doi.org/10.3390/su11102994
Ivancevich, J. ., Konopaske, R., & Matteson, M. (2008). Organizational Behavior and Management, 10th edition. United Kingdom: Irwin, McGraw-Hill Education.
JinRu, L., & Qamruzzaman, M. (2022). Nexus between environmental innovation, energy efficiency, and environmental sustainability in G7: What is the role of institutional quality? Frontiers in Environmental Science, 10(May), 1–21, 860244. https://doi.org/10.3389/fenvs.2022.860244
Kang, H. (2021). Sample size determination and power analysis using the G*Power software. Journal of Educational Evaluation for Health Professions, 18, 1–12. https://doi.org/10.3352/JEEHP.2021.18.17
Karunarathna, W. K. S., Jayaratne, W., Dasanayaka, S., Ibrahim, S., & Samara, F. (2023). Factors affecting household’s use of energy-saving appliances in Sri Lanka: An empirical study using a conceptualized technology acceptance model. Energy Efficiency, 16(3), 15. https://doi.org/10.1007/s12053-023-10096-7
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
Kreiterling, C. (2023). Digital innovation and entrepreneurship: A review of challenges in competitive markets. Journal of Innovation and Entrepreneurship, 12(1), 49. https://doi.org/10.1186/s13731-023-00320-0
Li, S., Meng, J., Zheng, H., Zhang, N., Huo, J., Li, Y., & Guan, D. (2021a). The driving forces behind the change in energy consumption in developing countries. Environmental Research Letters, 16(5), 054002. https://doi.org/10.1088/1748-9326/abde05
Li, Y., Siddik, A. B., Masukujjaman, M., & Wei, X. (2021b). Bridging green gaps: The buying intention of energy efficient home appliances and moderation of green self-identity. Applied Sciences (Switzerland), 11(21), 9878. https://doi.org/10.3390/app11219878
Lin, C. C., & Dong, C. M. (2023). Exploring consumers’ purchase intention on energy-efficient home appliances: Integrating the theory of planned behavior, perceived value theory, and environmental awareness. Energies, 16(6), 2669. https://doi.org/10.3390/en16062669
Liu, X., Liu, X., Luo, X., Wang, M., Fu, H., Wang, B., Sun, Y., & Hu, W. (2020a). Analysis on the influencing mechanism of informational policy instrument on adopting energy consumption monitoring technology in public buildings. Energy Efficiency, 13(7), 1485–1503. https://doi.org/10.1007/s12053-020-09895-z
Liu, X., Wang, Q., Wei, H. H., Chi, H. L., Ma, Y., & Jian, I. Y. (2020b). Psychological and demographic factors affecting household energy-saving intentions: A TPB-based study in northwest China. Sustainability (Switzerland), 12(3), 1–20. https://doi.org/10.3390/su12030836
Luthfiana, D. N., Andika, A., & Bidayati, U. (2024). Unraveling the complexity of the organic food market : Indonesian consumer perspective on price and product knowledge. Asian Management and Business Review, 4(1), 73–89. https://doi.org/https://doi.org/10.20885/AMBR.vol4.iss1.art5
Muzayanah, I. F. U., Lean, H. H., Hartono, D., Indraswari, K. D., & Partama, R. (2022). Population density and energy consumption: A study in Indonesian provinces. Heliyon, 8(9), e10634. https://doi.org/10.1016/j.heliyon.2022.e10634
Nadel, S., & Ungar, L. (2019). Halfway There: Energy Efficiency Can Cut Energy Use and Greenhouse Gas Emissions in Half by 2050. Report U1907 American Council for an Energy-Efficient Economy. Washington DC: ACEEE.
Nejat, P., Jomehzadeh, F., Taheri, M. M., Gohari, M., & Muhd, M. Z. (2015). A global review of energy consumption, CO2 emissions and policy in the residential sector (With an overview of the top ten CO2 emitting countries). Renewable and Sustainable Energy Reviews, 43, 843–862. https://doi.org/10.1016/j.rser.2014.11.066
Osobajo, O. A., Otitoju, A., Otitoju, M. A., & Oke, A. (2020). The impact of energy consumption and economic growth on carbon dioxide emissions. Sustainability (Switzerland), 12(19), 1–16. https://doi.org/10.3390/SU12197965
Paneru, C. P., & Tarigan, A. K. M. (2023). Reviewing the impacts of smart energy applications on energy behaviours in Norwegian households. Renewable and Sustainable Energy Reviews, 183(June), 113511. https://doi.org/10.1016/j.rser.2023.113511
Pernice, G. F. A., Orso, V., & Gamberini, L. (2023). Is this right for you?: The key role of shop assistants in promoting energy-efficient household appliances. Sustainability, 15(24), 16630. https://doi.org/10.3390/su152416630
Pham, L. T. T., & Nguyen, Y. T. H. (2023). An integrated framework approach to understanding Vietnamese people’s intention to adopt smart home solutions. Human Behavior and Emerging Technologies, 2023(1), 8882543. https://doi.org/10.1155/2023/8882543
Qalati, S. A., Qureshi, N. A., Ostic, D., & Sulaiman, M. A. B. A. (2022). An extension of the theory of planned behavior to understand factors influencing Pakistani households’ energy-saving intentions and behavior: A mediated–moderated model. Energy Efficiency, 15(6), 1–21. https://doi.org/10.1007/s12053-022-10050-z
Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074. https://doi.org/10.1016/j.dib.2023.109074
Rizzi, F., Annunziata, E., Contini, M., & Frey, M. (2020). On the effect of exposure to information and self-benefit appeals on consumer’s intention to perform pro-environmental behaviours: A focus on energy conservation behaviours. Journal of Cleaner Production, 270, 122039. https://doi.org/10.1016/j.jclepro.2020.122039
Shah, R., Modi, A., Muduli, A., & Patel, J. D. (2023). Purchase intention for energy-efficient equipment appliances: Extending TPB with eco-labels, green trust, and environmental concern. Energy Efficiency, 16(4), 31. https://doi.org/10.1007/s12053-023-10111-x
Shin, J., Park, Y., & Lee, D. (2018). Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technological Forecasting and Social Change, 134(January), 246–253. https://doi.org/10.1016/j.techfore.2018.06.029
Si-dai, G., Cheng-Peng, L., Hang, L., & Ning, Z. (2021). Influence mechanism of energy efficiency label on consumers’ purchasing behavior of energy-saving household appliances. Frontiers in Psychology, 12(October), 1–15. https://doi.org/10.3389/fpsyg.2021.711854
Singh, V. K., Henriques, C. O., & Martins, A. G. (2019). Assessment of energy-efficient appliances: A review of the technologies and policies in India’s residential sector. Wiley Interdisciplinary Reviews: Energy and Environment, 8(3), 1–19. https://doi.org/10.1002/wene.330
Tang, Z., & Chen, L. (2023). Measurement and analysis of direct and indirect household energy consumption: A case study of China. Frontiers in Energy Research, 11(July), 1–13. https://doi.org/10.3389/fenrg.2023.1220207
Tang, Z., Warkentin, M., & Wu, L. (2019). Understanding employees’ energy saving behavior from the perspective of stimulus-organism-responses. Resources, Conservation and Recycling, 140(September 2018), 216–223. https://doi.org/10.1016/j.resconrec.2018.09.030
Thanh, N. D. (2023). The impact of media publicity and online product reviews on consumers’ purchase intentions of energy-efficient appliances. VNU University of Economics and Business, 3(6), 77. https://doi.org/10.57110/vnujeb.v3i6.232
Wang, Q., Niu, G., Gan, X., & Cai, Q. (2022). Green returns to education: Does education affect pro-environmental attitudes and behaviors in China? PLoS ONE, 17(2 February), 1–20. https://doi.org/10.1371/journal.pone.0263383
Wang, Z., Sun, Q., Wang, B., & Zhang, B. (2019). Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective? Journal of Cleaner Production, 238, 117896. https://doi.org/10.1016/j.jclepro.2019.117896
Wang, Z., Zhang, B., & Li, G. (2014). Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. Journal of Renewable and Sustainable Energy, 6(5), 1–18. https://doi.org/10.1063/1.4898363
Waris, I., Dad, M., & Hameed, I. (2021). Promoting environmental sustainability: The influence of knowledge of eco-labels and altruism in the purchase of energy-efficient appliances. Management of Environmental Quality: An International Journal, 32(5), 989–1006. https://doi.org/10.1108/MEQ-11-2020-0272
Waris, I., & Hameed, I. (2021). An empirical study of consumers intention to purchase energy efficient appliances. Social Responsibility Journal, 17(4), 489–507. https://doi.org/10.1108/SRJ-11-2019-0378
Wibowo, A. H. (2023). Persebaran Konsumsi Listrik di Berbagai Pulau Indonesia. Retrieved from https://data.goodstats.id/statistic/wibowoadnanhasyim/persebaran-konsumsi-listrik-di-berbagai-pulau-indonesia-qlAfd
Xin, D., Zhi Sheng, Z., & Jiahui, S. (2022). How technological innovation influences environmental pollution: Evidence from China. Complexity, 2022, 2022(1), 5535310. https://doi.org/10.1155/2022/5535310
Yang, X., Chen, L., Wei, L., & Su, Q. (2020). Personal and media factors related to citizens’ pro-environmental behavioral intention against haze in China: A moderating analysis of TPB. International Journal of Environmental Research and Public Health, 17(7), 2314. https://doi.org/10.3390/ijerph17072314
Zaato, S. G., Zainol, N. R., Khan, S., Rehman, A. U., Faridi, M. R., & Khan, A. A. (2023). The mediating role of customer satisfaction between antecedent factors and brand loyalty for the Shopee application. Behavioral Sciences, 13(7), 1–22. https://doi.org/10.3390/bs13070563
Zahra, F., & Astuti, Y. (2023). Government policy effect toward energy-efficient appliances purchase intention in West Java. Journal of Humanities and Social Studies (JHSS), 07(02), 343–347. https://doi.org/10.33751/jhss.v7i2.7940
Zainudin, N., Lau, J. L., & Munusami, C. (2022). Modelling household behavioural changes as an opportunity for sustainable home energy. Environmental Economics and Policy Studies, 24(1), 73–97. https://doi.org/10.1007/s10018-021-00311-z
Zhang, H., Gladisch, A., Pickavet, M., Tao, Z., & Mohr, W. (2010). Energy efficiency in communications. IEEE Communications Magazine, 48(11), 48–49. https://doi.org/10.1109/MCOM.2010.5621966
Zhang, J., Ma, L., & Li, J. (2021). Why low-carbon publicity effect limits? The role of heterogeneous intention in reducing household energy consumption. Energies, 14(22), 7634. https://doi.org/10.3390/en14227634
Zhang, W., & Liu, L. (2022). Unearthing consumers’ intention to adopt eco-friendly smart home services: An extended version of the theory of planned behavior model. Journal of Environmental Planning and Management, 65(2), 216–239. https://doi.org/10.1080/09640568.2021.1880379
Zhang, W., & Luo, B. (2023). Predicting consumer intention toward eco-friendly smart home services: Extending the theory of planned behavior. Economic Change and Restructuring, 56(5), 3335–3352. https://doi.org/10.1007/s10644-022-09477-2
Zhang, X., Cheng, X., & Huang, X. (2023). “Oh, my God, buy it!” Investigating impulse buying behavior in live streaming commerce. International Journal of Human-Computer Interaction, 39(12), 2436–2449. https://doi.org/10.1080/10447318.2022.2076773
Zhang, Y., Xiao, C., & Zhou, G. (2020). Willingness to pay a price premium for energy-saving appliances: Role of perceived value and energy efficiency labeling. Journal of Cleaner Production, 242, 118555. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.118555
Zhao, C., Zhang, M., & Wang, W. (2019). Exploring the influence of severe haze pollution on residents’ intention to purchase energy-saving appliances. Journal of Cleaner Production, 212, 1536–1543. https://doi.org/10.1016/j.jclepro.2018.12.134
Zheng, S. Y., Liu, H., Guan, W., Yang, Y., Li, J. Y., Fahad, S., & Li, B. (2022). Identifying intention-based factors influencing consumers’ willingness to pay for electric vehicles: A sustainable consumption paradigm. Sustainability (Switzerland), 14(24). https://doi.org/10.3390/su142416831.

References

Abrahamse, W. (2019). Understanding the Drivers of Human Behaviour. In Encouraging Pro-Environmental Behaviour: What Works, What Doesn't, and Why (pp. 11–25). London: Academic Press. https://doi.org/10.1016/b978-0-12-811359-2.00002-0

Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Kuhl J., & Beckmann, J. (Eds.), Action Control: From Cognition to Behavior (pp. 11-39). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-69746-3

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.47985/dcidj.475

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 22(5), 453–474. https://doi.org/https://doi.org/10.1016/0022-1031(86)90045-4

Akadiri, S. Saint, Adebayo, T. S., Nakorji, M., Mwakapwa, W., Inusa, E. M., & Izuchukwu, O. O. (2022). Impacts of globalization and energy consumption on environmental degradation: What is the way forward to achieving environmental sustainability targets in Nigeria? Environmental Science and Pollution Research, 29(40), 60426–60439. https://doi.org/10.1007/s11356-022-20180-7

Ali, M. R., Shafiq, M., & Andejany, M. (2021). Determinants of consumers’ intentions towards the purchase of energy efficient appliances in pakistan: An extended model of the theory of planned behavior. Sustainability (Switzerland), 13(2), 1–17. https://doi.org/10.3390/su13020565

Ali, S., Ullah, H., Akbar, M., Akhtar, W., & Zahid, H. (2019). Determinants of consumer intentions to purchase energy-saving household products in Pakistan. Sustainability (Switzerland), 11(5), 1–20. https://doi.org/10.3390/su11051462

Andika, Luthfiana, D. N., Nadia, & Kartinah. (2023a). Green purchase behavior: The role of green advertising, green awareness, and eco-literacy. IOP Conference Series: Earth and Environmental Science, 1181(1), 1–6. https://doi.org/10.1088/1755-1315/1181/1/012025

Andika, Nadia, Najmudin, M., & Hasibuan, A. B. (2023b). Green cosmetics in Indonesia: Unraveling attitude-behavior gap and gender moderation. Jurnal Aplikasi Bisnis, 21(4), 1134–1152. https://doi.org/http://dx.doi.org/10.21776/ub.jam. 2023.021.04.20.

Apipuchayakul, N., & Vassanadumrongdee, S. (2020). Factors affecting the consumption of energy-efficient lighting products: Exploring purchase behaviors of Thai consumers. Sustainability (Switzerland), 12(12), 1–16. https://doi.org/10.3390/SU12124887

Ashraf Fauzi, M., Hanis Zainal Abidin, N., Mohd Suki, N., & Mokhtar Albshir Budiea, A. (2023). Residential rooftop solar panel adoption behavior: Bibliometric analysis of the past and future trends. Renewable Energy Focus, 45, 1–9. https://doi.org/https://doi.org/10.1016/j.ref.2023.02.002

Baldini, M., Trivella, A., & Wente, J. W. (2018). The impact of socioeconomic and behavioural factors for purchasing energy efficient household appliances: A case study for Denmark. Energy Policy, 120(October 2017), 503–513. https://doi.org/10.1016/j.enpol.2018.05.048

Bamberg, S., Hunecke, M., & Blöbaum, A. (2007). Social context, personal norms and the use of public transportation: Two field studies. Journal of Environmental Psychology, 27(3), 190–203. https://doi.org/10.1016/j.jenvp.2007.04.001

Bhutto, M. Y., Liu, X., Soomro, Y. A., Ertz, M., & Baeshen, Y. (2021). Adoption of energy‐efficient home appliances: Extending the theory of planned behavior. Sustainability (Switzerland), 13(1), 1–23. https://doi.org/10.3390/su13010250

Bhutto, M. Y., Soomro, Y. A., & Yang, H. (2022). Extending the theory of planned behavior: Predicting young consumer purchase behavior of energy-efficient appliances (Evidence from developing economy). SAGE Open, 12(1). https://doi.org/10.1177/21582440221078289

Cattaneo, C. (2019). Internal and external barriers to energy efficiency: Which role for policy interventions? Energy Efficiency, 12(5), 1293–1311. https://doi.org/10.1007/s12053-019-09775-1

Cheng, E. W. L. (2019). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development, 67(1), 21–37. https://doi.org/10.1007/s11423-018-9598-6

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In Marcoulides, G. A. (Ed.), Modern Methods for Business Research. New Jersey: Lawrence Erlbaum Associates, Inc. https://doi.org/10.4324/9781410604385-10

Daroch, B., Nagrath, G., & Gupta, A. (2021). A study on factors limiting online shopping behaviour of consumers. Rajagiri Management Journal, 15(1), 39–52. https://doi.org/10.1108/ramj-07-2020-0038

EIA. (2023). Electricity consumption in the United States was about 4 trillion kilowatthours (kWh) in 2022. Retrieved from https://www.eia.gov/energyexplained/electricity/use-of-electricity.php

Enerdata. (2022). Indonesia Energy Information. Retrieved from https://www.enerdata.net/estore/energy-market/indonesia/

Enerdata. (2023). Germany Energy Information. Retrieved from https://www.enerdata.net/estore/energy-market/germany/

Finlay, K. A., Trafimow, D., & Moroi, E. (1999). The importance of subjective norms on intentions to perform health behaviors. Journal of Applied Social Psychology, 29(11), 2381–2393. https://doi.org/10.1111/j.1559-1816.1999.tb00116.x

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, Massachusetts: Addison-Wesley Publishing Company.

Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi/abs/10.1177/002224378101800104

Gayatri, G., Alversia, Y., & Astuti, R. D. (2021). The influence of attitude and subjective norms on student’s (future) intention and future decision of higher level studies: A case study of five universities with BHMN status in Indonesia. ASEAN Marketing Journal, 2(1), 4. https://doi.org/10.21002/amj.v2i1.1991

Hair, Hult, Ringle, & Sarstedt. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), second edition. California, USA: SAGE Publications, Inc.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hair, J., Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2023). Advanced Issues in Partial Least Squares Structural Equation Modeling, second edition. USA: SAGE Publications, Inc.

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3(February), 275–285. https://doi.org/10.1016/j.susoc.2022.05.004

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

Hesselink, L. X. W., & Chappin, E. J. L. (2019). Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies. Renewable and Sustainable Energy Reviews, 99(March 2018), 29–41. https://doi.org/10.1016/j.rser.2018.09.031

Hossain, I., Fekete-Farkas, M., & Nekmahmud, M. (2022). Purchase behavior of energy-efficient appliances contribute to sustainable energy consumption in developing country: Moral norms extension of the theory of planned behavior. Energies, 15(13), 4600. https://doi.org/10.3390/en15134600

Hua, L., & Wang, S. (2019). Antecedents of consumers’ intention to purchase energy-efficient appliances: An empirical study based on the technology acceptance model and theory of planned behavior. Sustainability (Switzerland), 11(10), 2994. https://doi.org/10.3390/su11102994

Ivancevich, J. ., Konopaske, R., & Matteson, M. (2008). Organizational Behavior and Management, 10th edition. United Kingdom: Irwin, McGraw-Hill Education.

JinRu, L., & Qamruzzaman, M. (2022). Nexus between environmental innovation, energy efficiency, and environmental sustainability in G7: What is the role of institutional quality? Frontiers in Environmental Science, 10(May), 1–21, 860244. https://doi.org/10.3389/fenvs.2022.860244

Kang, H. (2021). Sample size determination and power analysis using the G*Power software. Journal of Educational Evaluation for Health Professions, 18, 1–12. https://doi.org/10.3352/JEEHP.2021.18.17

Karunarathna, W. K. S., Jayaratne, W., Dasanayaka, S., Ibrahim, S., & Samara, F. (2023). Factors affecting household’s use of energy-saving appliances in Sri Lanka: An empirical study using a conceptualized technology acceptance model. Energy Efficiency, 16(3), 15. https://doi.org/10.1007/s12053-023-10096-7

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101

Kreiterling, C. (2023). Digital innovation and entrepreneurship: A review of challenges in competitive markets. Journal of Innovation and Entrepreneurship, 12(1), 49. https://doi.org/10.1186/s13731-023-00320-0

Li, S., Meng, J., Zheng, H., Zhang, N., Huo, J., Li, Y., & Guan, D. (2021a). The driving forces behind the change in energy consumption in developing countries. Environmental Research Letters, 16(5), 054002. https://doi.org/10.1088/1748-9326/abde05

Li, Y., Siddik, A. B., Masukujjaman, M., & Wei, X. (2021b). Bridging green gaps: The buying intention of energy efficient home appliances and moderation of green self-identity. Applied Sciences (Switzerland), 11(21), 9878. https://doi.org/10.3390/app11219878

Lin, C. C., & Dong, C. M. (2023). Exploring consumers’ purchase intention on energy-efficient home appliances: Integrating the theory of planned behavior, perceived value theory, and environmental awareness. Energies, 16(6), 2669. https://doi.org/10.3390/en16062669

Liu, X., Liu, X., Luo, X., Wang, M., Fu, H., Wang, B., Sun, Y., & Hu, W. (2020a). Analysis on the influencing mechanism of informational policy instrument on adopting energy consumption monitoring technology in public buildings. Energy Efficiency, 13(7), 1485–1503. https://doi.org/10.1007/s12053-020-09895-z

Liu, X., Wang, Q., Wei, H. H., Chi, H. L., Ma, Y., & Jian, I. Y. (2020b). Psychological and demographic factors affecting household energy-saving intentions: A TPB-based study in northwest China. Sustainability (Switzerland), 12(3), 1–20. https://doi.org/10.3390/su12030836

Luthfiana, D. N., Andika, A., & Bidayati, U. (2024). Unraveling the complexity of the organic food market : Indonesian consumer perspective on price and product knowledge. Asian Management and Business Review, 4(1), 73–89. https://doi.org/https://doi.org/10.20885/AMBR.vol4.iss1.art5

Muzayanah, I. F. U., Lean, H. H., Hartono, D., Indraswari, K. D., & Partama, R. (2022). Population density and energy consumption: A study in Indonesian provinces. Heliyon, 8(9), e10634. https://doi.org/10.1016/j.heliyon.2022.e10634

Nadel, S., & Ungar, L. (2019). Halfway There: Energy Efficiency Can Cut Energy Use and Greenhouse Gas Emissions in Half by 2050. Report U1907 American Council for an Energy-Efficient Economy. Washington DC: ACEEE.

Nejat, P., Jomehzadeh, F., Taheri, M. M., Gohari, M., & Muhd, M. Z. (2015). A global review of energy consumption, CO2 emissions and policy in the residential sector (With an overview of the top ten CO2 emitting countries). Renewable and Sustainable Energy Reviews, 43, 843–862. https://doi.org/10.1016/j.rser.2014.11.066

Osobajo, O. A., Otitoju, A., Otitoju, M. A., & Oke, A. (2020). The impact of energy consumption and economic growth on carbon dioxide emissions. Sustainability (Switzerland), 12(19), 1–16. https://doi.org/10.3390/SU12197965

Paneru, C. P., & Tarigan, A. K. M. (2023). Reviewing the impacts of smart energy applications on energy behaviours in Norwegian households. Renewable and Sustainable Energy Reviews, 183(June), 113511. https://doi.org/10.1016/j.rser.2023.113511

Pernice, G. F. A., Orso, V., & Gamberini, L. (2023). Is this right for you?: The key role of shop assistants in promoting energy-efficient household appliances. Sustainability, 15(24), 16630. https://doi.org/10.3390/su152416630

Pham, L. T. T., & Nguyen, Y. T. H. (2023). An integrated framework approach to understanding Vietnamese people’s intention to adopt smart home solutions. Human Behavior and Emerging Technologies, 2023(1), 8882543. https://doi.org/10.1155/2023/8882543

Qalati, S. A., Qureshi, N. A., Ostic, D., & Sulaiman, M. A. B. A. (2022). An extension of the theory of planned behavior to understand factors influencing Pakistani households’ energy-saving intentions and behavior: A mediated–moderated model. Energy Efficiency, 15(6), 1–21. https://doi.org/10.1007/s12053-022-10050-z

Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074. https://doi.org/10.1016/j.dib.2023.109074

Rizzi, F., Annunziata, E., Contini, M., & Frey, M. (2020). On the effect of exposure to information and self-benefit appeals on consumer’s intention to perform pro-environmental behaviours: A focus on energy conservation behaviours. Journal of Cleaner Production, 270, 122039. https://doi.org/10.1016/j.jclepro.2020.122039

Shah, R., Modi, A., Muduli, A., & Patel, J. D. (2023). Purchase intention for energy-efficient equipment appliances: Extending TPB with eco-labels, green trust, and environmental concern. Energy Efficiency, 16(4), 31. https://doi.org/10.1007/s12053-023-10111-x

Shin, J., Park, Y., & Lee, D. (2018). Who will be smart home users? An analysis of adoption and diffusion of smart homes. Technological Forecasting and Social Change, 134(January), 246–253. https://doi.org/10.1016/j.techfore.2018.06.029

Si-dai, G., Cheng-Peng, L., Hang, L., & Ning, Z. (2021). Influence mechanism of energy efficiency label on consumers’ purchasing behavior of energy-saving household appliances. Frontiers in Psychology, 12(October), 1–15. https://doi.org/10.3389/fpsyg.2021.711854

Singh, V. K., Henriques, C. O., & Martins, A. G. (2019). Assessment of energy-efficient appliances: A review of the technologies and policies in India’s residential sector. Wiley Interdisciplinary Reviews: Energy and Environment, 8(3), 1–19. https://doi.org/10.1002/wene.330

Tang, Z., & Chen, L. (2023). Measurement and analysis of direct and indirect household energy consumption: A case study of China. Frontiers in Energy Research, 11(July), 1–13. https://doi.org/10.3389/fenrg.2023.1220207

Tang, Z., Warkentin, M., & Wu, L. (2019). Understanding employees’ energy saving behavior from the perspective of stimulus-organism-responses. Resources, Conservation and Recycling, 140(September 2018), 216–223. https://doi.org/10.1016/j.resconrec.2018.09.030

Thanh, N. D. (2023). The impact of media publicity and online product reviews on consumers’ purchase intentions of energy-efficient appliances. VNU University of Economics and Business, 3(6), 77. https://doi.org/10.57110/vnujeb.v3i6.232

Wang, Q., Niu, G., Gan, X., & Cai, Q. (2022). Green returns to education: Does education affect pro-environmental attitudes and behaviors in China? PLoS ONE, 17(2 February), 1–20. https://doi.org/10.1371/journal.pone.0263383

Wang, Z., Sun, Q., Wang, B., & Zhang, B. (2019). Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective? Journal of Cleaner Production, 238, 117896. https://doi.org/10.1016/j.jclepro.2019.117896

Wang, Z., Zhang, B., & Li, G. (2014). Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. Journal of Renewable and Sustainable Energy, 6(5), 1–18. https://doi.org/10.1063/1.4898363

Waris, I., Dad, M., & Hameed, I. (2021). Promoting environmental sustainability: The influence of knowledge of eco-labels and altruism in the purchase of energy-efficient appliances. Management of Environmental Quality: An International Journal, 32(5), 989–1006. https://doi.org/10.1108/MEQ-11-2020-0272

Waris, I., & Hameed, I. (2021). An empirical study of consumers intention to purchase energy efficient appliances. Social Responsibility Journal, 17(4), 489–507. https://doi.org/10.1108/SRJ-11-2019-0378

Wibowo, A. H. (2023). Persebaran Konsumsi Listrik di Berbagai Pulau Indonesia. Retrieved from https://data.goodstats.id/statistic/wibowoadnanhasyim/persebaran-konsumsi-listrik-di-berbagai-pulau-indonesia-qlAfd

Xin, D., Zhi Sheng, Z., & Jiahui, S. (2022). How technological innovation influences environmental pollution: Evidence from China. Complexity, 2022, 2022(1), 5535310. https://doi.org/10.1155/2022/5535310

Yang, X., Chen, L., Wei, L., & Su, Q. (2020). Personal and media factors related to citizens’ pro-environmental behavioral intention against haze in China: A moderating analysis of TPB. International Journal of Environmental Research and Public Health, 17(7), 2314. https://doi.org/10.3390/ijerph17072314

Zaato, S. G., Zainol, N. R., Khan, S., Rehman, A. U., Faridi, M. R., & Khan, A. A. (2023). The mediating role of customer satisfaction between antecedent factors and brand loyalty for the Shopee application. Behavioral Sciences, 13(7), 1–22. https://doi.org/10.3390/bs13070563

Zahra, F., & Astuti, Y. (2023). Government policy effect toward energy-efficient appliances purchase intention in West Java. Journal of Humanities and Social Studies (JHSS), 07(02), 343–347. https://doi.org/10.33751/jhss.v7i2.7940

Zainudin, N., Lau, J. L., & Munusami, C. (2022). Modelling household behavioural changes as an opportunity for sustainable home energy. Environmental Economics and Policy Studies, 24(1), 73–97. https://doi.org/10.1007/s10018-021-00311-z

Zhang, H., Gladisch, A., Pickavet, M., Tao, Z., & Mohr, W. (2010). Energy efficiency in communications. IEEE Communications Magazine, 48(11), 48–49. https://doi.org/10.1109/MCOM.2010.5621966

Zhang, J., Ma, L., & Li, J. (2021). Why low-carbon publicity effect limits? The role of heterogeneous intention in reducing household energy consumption. Energies, 14(22), 7634. https://doi.org/10.3390/en14227634

Zhang, W., & Liu, L. (2022). Unearthing consumers’ intention to adopt eco-friendly smart home services: An extended version of the theory of planned behavior model. Journal of Environmental Planning and Management, 65(2), 216–239. https://doi.org/10.1080/09640568.2021.1880379

Zhang, W., & Luo, B. (2023). Predicting consumer intention toward eco-friendly smart home services: Extending the theory of planned behavior. Economic Change and Restructuring, 56(5), 3335–3352. https://doi.org/10.1007/s10644-022-09477-2

Zhang, X., Cheng, X., & Huang, X. (2023). “Oh, my God, buy it!” Investigating impulse buying behavior in live streaming commerce. International Journal of Human-Computer Interaction, 39(12), 2436–2449. https://doi.org/10.1080/10447318.2022.2076773

Zhang, Y., Xiao, C., & Zhou, G. (2020). Willingness to pay a price premium for energy-saving appliances: Role of perceived value and energy efficiency labeling. Journal of Cleaner Production, 242, 118555. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.118555

Zhao, C., Zhang, M., & Wang, W. (2019). Exploring the influence of severe haze pollution on residents’ intention to purchase energy-saving appliances. Journal of Cleaner Production, 212, 1536–1543. https://doi.org/10.1016/j.jclepro.2018.12.134

Zheng, S. Y., Liu, H., Guan, W., Yang, Y., Li, J. Y., Fahad, S., & Li, B. (2022). Identifying intention-based factors influencing consumers’ willingness to pay for electric vehicles: A sustainable consumption paradigm. Sustainability (Switzerland), 14(24). https://doi.org/10.3390/su142416831.

Enhancing energy-efficient home appliance adoption: Media publicity strategies and planned behavior theory

Article Sidebar

Downloads

Main Article Content

Abstract

Keywords

Article Details

References

References

Most read articles by the same author(s)