Purpose: The study aimed at exploring the factors that influence energy-saving behavior (ESB) among households, particularly within the context of emerging economies. Although prior studies have employed behavioral theories such as the theory of planned behavior (TPB) and social cognitive theory (SCT), there is little research that has incorporated cognitive, social, and emotional factors simultaneously within the context of emerging economies, supported by predictive analysis tools.

Methodology: The study investigated 10 latent variables, which included publicity/education, energy-saving knowledge (ESK) norms, perceived behavioral control (PBC), self-efficacy (SE), outcome expectation (OE), place attachment, etc. The study used a structured questionnaire, which was distributed among 500 households across Tamil Nadu, India. The data analysis used SMART PLS for structural modeling, while artificial neural network analysis was conducted using SPSS.

Findings: The study found that publicity/education significantly contributed to ESK, which, in turn, positively influenced PBC and normative influences. PBC turned out to be the most significant predictor of ESB, followed by subjective norms (SN) and place attachment, as revealed by the artificial network analysis. Practical

Implications: The results implied that a marketing strategy for sustainable marketing practices should include education, social influence, and geographical engagement to promote energy-saving practices.

Originality: This study differed from previous studies on these determinants because it used an integrated multi-theory model and validated it using structural equation modeling and artificial neural network analysis.

1. 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
2. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc. https://psycnet.apa.org/record/1985-98423-000
3. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
4. Bhagwat, Y., Warren, N. L., Beck, J. T., & Watson, G. F. (2020). Corporate sociopolitical activism and firm value. Journal of Marketing, 84(5), 1–21. https://doi.org/10.1177/0022242920944382
5. Bulsara, H. P., & Vaghela, P. S. (2022). Millennials' online purchase intention towards consumer electronics: Empirical evidence from India. Indian Journal of Marketing, 52(2), 53–70. https://doi.org/10.17010/ijom/2022/v52/i2/168154
6. Chandy, R. K., Johar, G. V., Moorman, C., & Roberts, J. H. (2021). Better marketing for a better world. Journal of Marketing, 85(3), 1–9. https://doi.org/10.1177/00222429211003690
7. Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55, 591–621. https://doi.org/10.1146/annurev.psych.55.090902.142015
8. Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach (1st ed.). Psychology Press. https://doi.org/10.4324/9780203838020
9. 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
10. Hair Jr., J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
11. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications Inc. https://www.scirp.org/reference/referencespapers?referenceid=2297757
12. Han, H., & Kim, Y. (2010). An investigation of green hotel customers' decision formation: Developing an extended model of the theory of planned behavior. International Journal of Hospitality Management, 29(4), 659–668. https://doi.org/10.1016/j.ijhm.2010.01.001
13. Intergovernmental Panel on Climate Change (IPCC). (2023). AR6 synthesis report: Climate change 2023. https://www.ipcc.ch/report/ar6/syr
14. International Energy Agency (IEA). (2023, July 19). Electricity market report 2023. https://www.iea.org/reports/electricity-market-report-july-2023
15. International Energy Agency (IEA). (2024). Global energy review 2024: CO₂ emissions. https://www.iea.org/reports/global-energy-review-2024
16. Kang, C., Germann, F., & Grewal, R. (2016). Washing away your sins? Corporate social responsibility, corporate social irresponsibility, and firm performance. Journal of Marketing, 80(2), 59–79. https://doi.org/10.1509/jm.15.0324
17. Kollmuss, A., & Agyeman, J. (2002). Mind the gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239–260. https://doi.org/10.1080/13504620220145401
18. Kumar, A., Mallick, S. S., Hota, S. L., Vasudevan, A., & Şimşek, S. A. (2025). Green marketing strategies: Enhancing brand image and consumer trust in sustainable development.
19. Prabandhan: Indian Journal of Management, 17(12), 8–27. https://doi.org/10.17010/pijom/2024/v17i12/174054
20. Kumar, S., & Jain, E. (2024). Role of theory of planned behavior in sustainable consumption behavior: A meta-analysis. Indian Journal of Marketing, 54(10), 63–81. https://doi.org/10.17010/ijom/2024/v54/i10/174605
21. Mende, M., Borah, A., Scott, M. L., Bolton, L. E., & Lee, L. (2024). People, peace, prosperity, and the planet: A journey toward sustainable development in consumer research. Journal of Consumer Research, 51(1), 91–103. https://doi.org/10.1093/jcr/ucad068
22. Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, 29, 123–134. https://doi.org/10.1016/j.jretconser.2015.11.006
23. Ramkissoon, H., Smith, L. D., & Weiler, B. (2013). Testing the dimensionality of place attachment and its relationships with place satisfaction and pro-environmental behaviours: A structural equation modelling approach. Tourism Management, 36, 552–566. https://doi.org/10.1016/j.tourman.2012.09.003
24. Routray, M., & Giri, A. (2024). Impact of 'green fuel promotion' on customer buying behavior in Indian retail fuel outlets: A mix-method approach using fsQCA and NVIVO. Indian Journal of Marketing, 54(11), 65–72. https://doi.org/10.17010/ijom/2024/v54/i11/174631
25. Scannell, L., & Gifford, R. (2010). Defining place attachment: A tripartite organizing framework. Journal of Environmental Psychology, 30(1), 1–10. https://doi.org/10.1016/j.jenvp.2009.09.006
26. Schultz, P. W. (1999). Changing behavior with normative feedback interventions: A field experiment on curbside recycling. Basic and Applied Social Psychology, 21(1), 25–36. https://doi.org/10.1207/S15324834BASP2101_3
27. Sen, S., Bhattacharya, C. B., Lindrud, K., Bellezza, S., Cornil, Y., Du, S., Goenka, S., Husemann, K., Johnson, E. J., Lamberton, C., Nenkov, G., Trudel, R., White, K., & Winterich, K. P. (2024). Enhancing consumer and planetary well-being by consuming less, consuming better. Journal of Sustainable Marketing, 5(1), 30–42. https://doi.org/10.51300/JSM-2024-121
28. Sheth, J. N., & Parvatiyar, A. (2021). Sustainable marketing: Market-driving, not market-driven. Journal of Macromarketing, 41(1), 150–165. https://doi.org/10.1177/0276146720961836
29. Tabernero, C., & Hernández, B. (2011). Self-efficacy and intrinsic motivation guiding environmental behavior. Environment and Behavior, 43(5), 658–675. https://doi.org/10.1177/0013916510379759
30. Wang, P., Liu, Q., & Qi, Y. (2014). Factors influencing sustainable consumption behaviors: A survey of the rural residents in China. Journal of Cleaner Production, 63, 152–165. https://doi.org/10.1016/j.jclepro.2013.05.007
31. White, K., Habib, R., & Hardisty, D. J. (2019). How to SHIFT consumer behaviors to be more sustainable: A literature review and guiding framework. Journal of Marketing, 83(3), 22–49. https://doi.org/10.1177/0022242919825649