From likes to lights: Social media’s influence in promoting renewable energy towards Indonesian students

Year 2025, Volume: 8 Issue: 4, 856 - 872, 31.12.2025

Edgar Octoyuda , Hendris Syah Putra , Sutan Sahala Muda Marpaung

https://doi.org/10.35208/ert.1591388

Abstract

The growing significance of social media in raising awareness about renewable energy and sustainability is undeniable. This study explores the relationship between social media information and students' awareness of renewable energy using the Information Adoption Model. An online survey collected responses from 122 university students across Indonesia, encompassing undergraduate and postgraduate participants with prior knowledge or interest in renewable energy. The data were analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fs-QCA). The findings reveal that argument quality and the need for information significantly enhance students' awareness of renewable energy in both analyses. This highlights the effectiveness of well-structured arguments and the critical role of information-seeking behavior in fostering awareness. Conversely, source credibility showed no significant impact on awareness, attributed to concerns about the accuracy and reliability of social media content. These results underline the importance of prioritizing informational content and argument quality over source credibility in promoting renewable energy knowledge through social media platforms. This study emphasizes the need for policymakers to leverage social media by ensuring the dissemination of accurate and reliable information. By focusing on high-quality arguments and addressing users' information needs, social media can effectively raise awareness about renewable energy and encourage sustainable behaviors, particularly among university students. The findings provide valuable insights into optimizing social media as a tool for promoting renewable energy awareness and advancing sustainability goals.

Keywords

Social media information , information adoption model , renewable energy awareness , PLS-SEM , fs-QCA

References

• D. R. Johnson, N. B. Geldner, J. Liu, U. L. Baldos, and T. Hertel, “Reducing US biofuels requirements mitigates short-term impacts of global population and income growth on agricultural environmental outcomes,” Energy Policy, Vol. 175, pp. 113497, 2023.
• X. Deng, J. Huang, S. Rozelle, and E. Uchida, “Growth, population and industrialization, and urban land expansion of China,” Journal of Urban Economics, Vol. 63(1), pp. 96–115, 2008.
• A. Zyadin, A. Puhakka, P. Ahponen, T. Cronberg, and P. Pelkonen, “School students’ knowledge, perceptions, and attitudes toward renewable energy in Jordan,” Renewable Energy, Vol. 45, pp. 78–85, 2012.
• C. De Fraiture, M. Giordano, and Y. Liao, “Biofuels and implications for agricultural water use: Blue impacts of green energy,” Water Policy, Vol. 10(1), pp. 67–81, 2008.
• J. Hassler, P. Krusell, and C. Olovsson, “Finite resources and the world economy,” Journal of International Economics, Vol. 136, pp. 103592, 2022.
• M. T. Kartal, “The role of consumption of energy, fossil sources, nuclear energy, and renewable energy on environmental degradation in top-five carbon producing countries,” Renewable Energy, Vol. 184, pp. 871–880, 2022.
• K. S. Nielsen, K. A. Nicholas, F. Creutzig, T. Dietz, and P. C. Stern, “The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions,” Nature Energy, Vol. 6(11), pp. 1011–1016, 2021.
• “CO2 Emissions in 2022,” International Energy Agency, 2023.
• M. M. Hasan and W. Chongbo, “Estimating energy-related CO2 emission growth in Bangladesh: The LMDI decomposition method approach,” Energy Strategy Reviews, Vol. 32, pp. 100565, 2020.
• W. Li, F. Chien, C-C, Hsu, Y. Zhang, M. A. Nawaz, S. Iqbal, and M. Mohsin, “Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics,” Resources Policy, Vol. 72, pp. 102063, 2021.
• S. A. Sarkodie and V. Strezov, “Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries,” Science of the Total Environment, Vol. 646, pp. 862–871, 2019.
• T. T. D. Tran and A. D. Smith, “Evaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sector,” Renewable and Sustainable Energy Reviews, Vol. 80, pp. 1372–1388, 2017.
• D. A. Baharoon, H. A. Rahman, and S. O. Fadhl, “Publics׳ knowledge, attitudes and behavioral toward the use of solar energy in Yemen power sector,” Renewable and Sustainable Energy Reviews, Vol. 60, pp. 498–515, 2016.
• E. Karasmanaki and G. Tsantopoulos, “Exploring future scientists’ awareness about and attitudes towards renewable energy sources,” Energy Policy, Vol. 131, pp. 111–119, 2019.
• G. Ali, N. Yan, J. Hussain, L. Xu, Y. Huang, S. Xu, and S. Cui, “Quantitative assessment of energy conservation and renewable energy awareness among variant urban communities of Xiamen, China,” Renewable and Sustainable Energy Reviews, Vol. 109, pp. 230–238, 2019.
• A. Assali, T. Khatib, and A. Najjar, “Renewable energy awareness among future generation of Palestine,” Renewable Energy, Vol. 136, pp. 254–263, 2019.
• A. G. Olabi and M. A. Abdelkareem, “Renewable energy and climate change,” Renewable and Sustainable Energy Reviews, Vol. 158, pp. 112111, 2022.
• C. Viviescas et al., “Contribution of Variable Renewable Energy to increase energy security in Latin America: Complementarity and climate change impacts on wind and solar resources,” Renewable and Sustainable Energy Reviews, Vol. 113, pp. 109232, 2019.
• P. H. Silaban, E. Octoyuda, and A. D. K. Silalahi, “Perceived Credibility Information on Social Media of Corporate Brand Reputation and Its Impact on Jobseeker Intention to Apply,” International Journal of Business, Vol. 28(1), pp. 1–13, 2023.
• M. Saud, M. Mashud, and R. Ida, “Usage of social media during the pandemic: Seeking support and awareness about COVID-19 through social media platforms,” Journal of Public Affairs, Vol. 20(4), 2020.
• E. A. Severo, J. C. F. De Guimarães, and M. L. Dellarmelin, “Impact of the COVID-19 pandemic on environmental awareness, sustainable consumption and social responsibility: Evidence from generations in Brazil and Portugal,” Journal of Cleaner Production, Vol. 286, 2021.
• S. Rousseau and N. Deschacht, “Public Awareness of Nature and the Environment During the COVID-19 Crisis,” Environmental and Resource Economics, Vol. 76(4), pp. 1149–1159, 2020.
• S. Oluoch, P. Lal, A. Susaeta, and N. Vedwan, “Assessment of public awareness, acceptance and attitudes towards renewable energy in Kenya,” Scientific African, Vol. 9, 2020.
• M. Irfan, Z.-Y. Zhao, A. Rehman, I. Ozturk, and H. Li, “Consumers’ intention-based influence factors of renewable energy adoption in Pakistan: a structural equation modeling approach,” Environemntal Science and Pollution Research, Vol. 28(1), pp. 432–445, 2021.
• A. V. Mavrodieva, O. K. Rachman, V. B. Harahap, and R. Shaw, “Role of social media as a soft power tool in raising public awareness and engagement in addressing climate change,” Climate, Vol. 7(10), 2019.
• J. Torous, S. Bucci, I. H. Bell, L. V. Kessing, M. Faurholt-Jepsen, P. Whelan, A. F. Carvalho, M. Keshavan, J. Linardon, and J. Firth, “The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality,” World Psychiatry, Vol. 20(3), pp. 318–335, 2021.
• A. Qazi, F. Hussain, N. A. Rahim, G. Hardaker, D. Alghazzawi, K. Shaban, and K. Haruna, “Towards Sustainable Energy: A Systematic Review of Renewable Energy Sources, Technologies, and Public Opinions,” IEEE Access, Vol. 7, pp. 63837–63851, 2019.
• H. Marzinkowski and I. Engelmann, “Rational-Critical User Discussions: How Argument Strength and the Conditions Set by News Organizations Are Linked to (Reasoned) Disagreement,” Digital Journalism., Vol. 10(3), pp. 433–451, 2022.
• Climate Reality Project, “Nine Celebrities Changing the Conversation on Climate Action,” Climate Reality Project. https://www.climaterealityproject.org/blog/nine-celebrities-changing-conversation-climate-action (accessed 10 December 2023).
• H. Wang, Z. Lei, X. Zhang, B. Zhou, and J. Peng, “A review of deep learning for renewable energy forecasting,” Energy Conversion and Management, Vol. 198, pp. 111799, 2019.
• N. Fatima, Y. Li, M. Ahmad, G. Jabeen, and X. Li, “Factors influencing renewable energy generation development: a way to environmental sustainability,” Environmental Science and Pollution Research, Vol. 28(37), pp. 51714–51732, 2021.
• A. Suman, “Role of renewable energy technologies in climate change adaptation and mitigation: A brief review from Nepal,” Renewable and Sustainable Energy Reviews, Vol. 151, pp. 111524, 2021.
• A. I. Almulhim, “Understanding public awareness and attitudes toward renewable energy resources in Saudi Arabia,” Renewable Energy, Vol. 192, pp. 572–582, 2022.
• H.-E. Edsand and T. Broich, “The Impact of Environmental Education on Environmental and Renewable Energy Technology Awareness: Empirical Evidence from Colombia,” International Journal of Science and Mathematics Education, Vol. 18(4), pp. 611–634, 2020.
• A. Szeberényi, T. Rokicki, and Á. Papp-Váry, “Examining the Relationship between Renewable Energy and Environmental Awareness,” Energies, Vol. 15(19), 2022.
• D. Rousell and A. Cutter-Mackenzie-Knowles, “A systematic review of climate change education: giving children and young people a ‘voice’ and a ‘hand’ in redressing climate change,” Children's Geographies., Vol. 18(2), pp. 191–208, 2020.
• J. G. Martínez-Navalón, V. Gelashvili, and F. Debasa, “The Impact of Restaurant Social Media on Environmental Sustainability: An Empirical Study,” Sustainability, Vol. 11(21), 2019.
• S.-Y. Tseng and C.-N. Wang, “Perceived risk influence on dual-route information adoption processes on travel websites,” Journal of Business Research, Vol. 69(6), pp. 2289–2296, 2016.
• Z. Bao and Y. Zhu, “Understanding online reviews adoption in social network communities: an extension of the information adoption model,” Information Technology & People, Vol. 38(1), pp. 48-69, 2023.
• T. Zhou, “Understanding online health community users’ information adoption intention: an elaboration likelihood model perspective,” Online Information Review, Vol. 46(1), pp. 134–146, 2022.
• I. Erkan and C. Evans, “The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption,” Computer in Human Behavior, Vol. 61, pp. 47–55, 2016.
• S. W. Sussman and W. S. Siegal, “Informational influence in organizations: An integrated approach to knowledge adoption,” Inf. Syst. Res., Vol. 14(1), pp. 47–65, 2003.
• S. W. Sussman and W. S. Siegal, “Informational influence in organizations: An integrated approach to knowledge adoption,” Information System Research., Vol. 14(1), pp. 47–65, 2003.
• C.-C. Chen and Y.-C. Chang, “What drives purchase intention on Airbnb? Perspectives of consumer reviews, information quality, and media richness,” Telematics and Informatics, Vol. 35(5), pp. 1512–1523, 2018.
• R. Savolainen, “Judging the Quality and Credibility of Information in Internet Discussion Forums,” Journal of the American Society for Information Science and Technology, Vol. 62(7), pp. 1243–1256, 2011.
• F.-A. Luca, C.-I. Ciobanu, A. G. Andrei, and A. V Horodnic, “Raising Awareness on Health Impact of the Chemicals Used in Consumer Products: Empirical Evidence from East-Central Europe,” Sustainability, Vol. 10(1), 2018.
• A. Senapati, N. Khan, and L. B. Chebrolu, “Impact of Social Media and Virtual Learning on Cardiology During the COVID-19 Pandemic Era and Beyond,” Methodist Debakey Cardiovascular Journal., Vol. 16(3), 2020.
• R. Pozharliev, D. Rossi, and M. De Angelis, “Consumers’ self-reported and brain responses to advertising post on Instagram: the effect of number of followers and argument quality,” European Journal of Marketing, Vol. 56(3), pp. 922–948, 2022.
• F. Chou, C.-C. Wang, M.-C. Lai, C.-H. Tung, Y.-J. Yang, and K.-H. Tsai, “Persuasiveness of organic agricultural products,” British Food Journal, Vol. 122(4), pp. 1289–1304, 2020.
• L. Shang, J. Zhou, and M. Zuo, “Understanding older adults’ intention to share health information on social media: the role of health belief and information processing,” Internet Research, Vol. 31(1), pp. 100–122, 2021.
• J. Yeap, J. Ignatius, and T. Ramayah, “Determining consumers’ most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach,” Computers in Human Behavior, Vol. 31, pp. 250–258, 2014.
• N. Lewis and E. Atad, “Effects of Message Framing and Narrative Format on Promoting Persuasive Conversations with Others About the Flu Vaccine,” Health Communication, Vol. 39(10), pp. 2110–2122, 2023.
• K. O. Turner, M. H. Collins, M. M. Walker, and R. M. Genta, “Quantification of Mucosal Eosinophils for the Histopathologic Diagnosis of Eosinophilic Gastritis and Duodenitis: A Primer for Practicing Pathologists,” The American Journal of Surgical Pathology, Vol. 46(4), pp. 557–566, 2022.
• M. L. Khan and I. K. Idris, “Recognise misinformation and verify before sharing: a reasoned action and information literacy perspective,” Behavior & Information Technolgy, Vol. 38, (12), pp. 1194–1212, 2019.
• S. B. Campbell, “Behavior Problems in Preschool Children: A Review of Recent Research,” Journal of Child Psychology and Psychiatry, Vol. 36(1), pp. 113–149, 1995.
• A. Caruana and R. Vassallo, “Children’s perception of their influence over purchases: The role of parental communication patterns,” Journal of Consumer Marketing, Vol. 20, pp. 55–66, 2003.
• M. Dotson and E. Hyatt, “Major influence factors in children’s consumer socialization,” Journal of Consumer Marketing, Vol. 22, pp. 35–42, 2005.
• A. Sharma and V. Sonwaney, “Exploring the role of family communication and brand awareness in understanding the influence of child on purchase decisions: Scale development and validation,” International Journal of Business Excellence., Vol. 8(6), pp. 748–766, 2015.
• M. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, 2017.
• J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publishing, 2017.
• I. O. Pappas and A. G. Woodside, “Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing,” International Journal of Information Management, Vol. 58, p. 102310, 2021.
• M. Chankseliani and T. McCowan, “Higher education and the Sustainable Development Goals,” Higher Education, Vol. 81(1), pp. 1–8, 2021.
• B. I. R. Harsritanto, H. F. S. Rusyda, G. P. Putra, and A. R. Prabowo, “University Student’s Knowledge Toward Energy Conservation and the Implementation on Their Design Project BT - Proceedings of the 6th International Conference and Exhibition on Sustainable Energy and Advanced Materials,” 2020.
• I. O. Pappas, “User experience in personalized online shopping: a fuzzy-set analysis,” European Journal of Marketing, Vol. 52, pp. 1679–1703, 2018.
• A. K. Schmitt, A. Grawe, and A. G. Woodside, “Illustrating the power of fsQCA in explaining paradoxical consumer environmental orientations,” Psychology & Marketing, Vol. 34(3), pp. 323–334, 2017.
• C. Fiss, Peer, “Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research,” Academy of Management Journal, Vol. 54(2), pp. 393–420, 2011.
• C. Chang, E. Octoyuda, and I. Arisanti, “Responding to Digital Transformation : The Implication of Transformational Leadership to Predict MSMEs Learning Agility,” 2023.
• I. O. Pappas, M. N. Giannakos, L. Jaccheri, and D. G. Sampson, “Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers,” ACM Transactions on Computing Education, Vol. 17(2), pp. 1-23, 2017.
• C. Fornell and D. Larcker, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, Vol. 18(1), pp. 39–50, 1981.
• J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” Journal of the Academy of Marketing Science, Vol. 43, pp. 115–135, 2015.
• N. Kock, “Common method bias in PLS-SEM: A full collinearity assessment approach,” International Journal of e-Collaboration, Vol. 11(4), pp. 1–10, 2015.
• P. M. Podsakoff, S. B. MacKenzie, J.-Y. Lee, and N. P. Podsakoff, “Common method biases in behavioral research: A critical review of the literature and recommended remedies.,” Journal of Applied Psychology, Vol. 88(5), 2003.
• C. C. Ragin, “Set Relations in Social Research: Evaluating Their Consistency and Coverage,” Political Analysis, Vol. 14(3), pp. 291–310, 2006.
• A. K. M. Chan, C. P. Nickson, J. W. Rudolph, A. Lee, and G. M. Joynt, “Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic.,” Anaesthesia, Vol. 75(12), pp. 1579–1582, 2020.
• T. Zobeidi, “Impact of Social Media on Perceptions and Use of Renewable Energy Sources,” 2020.