How to cite this paper
Hamouri, B. (2023). Predicting energy-saving behavior in Saudi Arabia using theory of planned behavior.Uncertain Supply Chain Management, 11(1), 21-30.
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AL-Zyadat, A., Alsaraireh, J., Al-Husban, D., Al-Shorman, H., Mohammad, A., Alathamneh, F., & Al-Hawary, S. (2022). The effect of industry 4.0 on sustainability of industrial organizations in Jordan. International Journal of Data and Network Science, 6(4), 1437-1446.
Anantharaman, M. (2018). Critical sustainable consumption: A research agenda. Journal of Environmental Studies and Sciences, 8(4), 553-561.
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the us. Journal of Environmental Economics and Management, 103, 102351.
Asensio, O. I., & Delmas, M. A. (2016). The dynamics of behavior change: Evidence from energy conservation. Journal of Economic Behavior & Organization, 126, 196-212.
Axon, S., Morrissey, J., Aiesha, R., Hillman, J., Revez, A., Lennon, B., . . . Boo, E. (2018). The human factor: Classification of european community-based behaviour change initiatives. Journal of cleaner production, 182, 567-586.
BEIS. (2018). Energy consumption in the uk. Retrieved from https://www.gov.uk/government/statistics/energy-consumption-in-the-uk.
Blessing, L. T., & Chakrabarti, A. (2009). Drm, a design research methodology: Springer Science & Business Media.
Bolderdijk, J. W., Lehman, P. K., & Geller, E. S. (2018). Encouraging pro‐environmental behaviour with rewards and penalties. Environmental psychology: An introduction, 273-282.
Borozan, D. (2018). Regional-level household energy consumption determinants: The european perspective. Renewable and Sustainable Energy Reviews, 90, 347-355.
Boudlaie, H., Boghosian, A., Chandra, T., Al-Hawary, S. I. S., Hussein, R. A., Talib, S. G., ... & Iswanto, A. H. (2022). Investigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Cai, Y., Sam, C. Y., & Chang, T. (2018). Nexus between clean energy consumption, economic growth and co2 emissions. Journal of Cleaner Production, 182, 1001-1011.
Caravaggio, N., Caravella, S., Ishizaka, A., & Resce, G. (2019). Beyond co2: A multi-criteria analysis of air pollution in europe. Journal of Cleaner Production, 219, 576-586.
Carden, L., & Wood, W. (2018). Habit formation and change. Current Opinion in Behavioral Sciences, 20, 117-122.
Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods: John Wiley & Sons Inc.
Chao, M.-C. (2016). The determinants of individuals’efforts for reducing energy use in transportation and residence.
Cohen, J. (1992). A power primer. Psychological bulletin, 112(1), 155.
Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative: Prentice Hall Upper Saddle River, NJ.
Du, J., & Pan, W. (2021). Examining energy saving behaviors in student dormitories using an expanded theory of planned behavior. Habitat international, 107, 102308.
El-Bayeh, C. Z., Eicker, U., Alzaareer, K., Brahmi, B., & Zellagui, M. (2020). A novel data-energy management algorithm for smart transformers to optimize the total load demand in smart homes. Energies, 13(18), 4984.
Fabi, V., Barthelmes, V. M., Schweiker, M., & Corgnati, S. P. (2017). Insights into the effects of occupant behaviour lifestyles and building automation on building energy use. Energy Procedia, 140, 48-56.
Fjellså, I. F., Silvast, A., & Skjølsvold, T. M. (2021). Justice aspects of flexible household electricity consumption in future smart energy systems. Environmental Innovation and Societal Transitions, 38, 98-109.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
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.
Gatersleben, B. (2018). Measuring environmental behaviour. Environmental psychology: An introduction, 155-166.
Gholamzadehmir, M., Sparks, P., & Farsides, T. (2019). Moral licensing, moral cleansing and pro-environmental behaviour: The moderating role of pro-environmental attitudes. Journal of Environmental Psychology, 65, 101334.
Gibson, L. P., Magnan, R. E., Kramer, E. B., & Bryan, A. D. (2021). Theory of planned behavior analysis of social distancing during the COVID-19 pandemic: Focusing on the intention–behavior gap. Annals of Behavioral Medicine, 55(8), 805-812.
Gu, W., Zhao, X., Yan, X., Wang, C., & Li, Q. (2019). Energy technological progress, energy consumption, and co2 emissions: Empirical evidence from china. Journal of Cleaner Production, 236, 117666.
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.
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (pls-sem) an emerging tool in business research. European Business Review, 26(2), 106-121.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.
Härkönen, K., Hannola, L., & Pyrhönen, O. (2022). Advancing the smart city objectives of electric demand management and new services to residents by home automation—learnings from a case. Energy Efficiency, 15(5), 1-13.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using pls path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
HM Government. (2018). Green gb & ni. Retrieved from https://greengb.campaign.gov.uk/
IPCC. (2007). Climate change 2007. Retrieved from https://www.ipcc.ch/report/
Jareemit, D., & Limmeechokchai, B. (2019). Impact of homeowner's behaviours on residential energy consumption in bangkok, thailand. Journal of Building Engineering, 21, 328-335.
Kalis, A., & Ometto, D. (2019). An anscombean perspective on habitual action. Topoi, 1-12.
Kim, J. (2017). A way to diversify energy efficiency policy: An approach based on behavioral economics.
Klöckner, C. A., & Blöbaum, A. (2010). A comprehensive action determination model: Toward a broader understanding of ecological behaviour using the example of travel mode choice. Journal of Environmental Psychology, 30(4), 574-586.
Koon, O., Chan, R. Y., & Sharma, P. (2020). Moderating effects of socio-cultural values on pro-environmental behaviors. Marketing Intelligence & Planning.
Kothari, C. R. (2004). Research methodology: Methods and techniques: New Age International.
Kumar, S., & Phrommathed, P. (2005). Research methodology: Springer.
Lange, F., & Dewitte, S. (2019). Measuring pro-environmental behavior: Review and recommendations. Journal of Environmental Psychology, 63, 92-100.
Mahardika, H., Thomas, D., Ewing, M. T., & Japutra, A. (2019). Predicting consumers’ trial/adoption of new technology: Revisiting the behavioral expectations–behavioral intentions debate. The International Review of Retail, Distribution and Consumer Research, 29(1), 99-117.
Marchant Gonzalez, G., Boiché, J., & Torregrosa, M. (2020). Validación en español de las propiedades psicométricas de la generic multifaceted automaticity scale (gmas) para actividades físicas. Revista de psicología del deporte, 29(1), 0067-0074.
Merabet, G. H., Essaaidi, M., Haddou, M. B., Qolomany, B., Qadir, J., Anan, M., ... & Benhaddou, D. (2021). Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. Renewable and Sustainable Energy Reviews, 144, 110969.
Mikulčić, H., Klemeš, J. J., Vujanović, M., Urbaniec, K., & Duić, N. (2016). Reducing greenhouse gasses emissions by fostering the deployment of alternative raw materials and energy sources in the cleaner cement manufacturing process. Journal of cleaner production, 136, 119-132.
Mohammad, A. A. S. (2020). The effect of customer empowerment and customer engagement on marketing performance: the mediating effect of brand community membership. Verslas: Teorija ir praktika/Business: Theory and Practice, 21(1), 30-38.
Mohammad, A.A.S (2019). Customers' electronic loyalty of banks working in Jordan: The effect of electronic customer relationship management. International Journal of Scientific and Technology Research, volume 8, issue 12: pp 3809-3815.
Moojen, J. R. D. (2020). Stimulating pro-environmental behaviour by addressing altruistic and biospheric values or egoistic values.
Mukhlis, H., Al-Hawary, S. I. S., Linh, H. V., Hani, I. R., & Adnan, S. (2022). Religious capital and job engagement among Malaysian Muslim nurses during the COVID-19 pandemic. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Munjal, S. (2019). Scale validation of consumer purchase decision behaviour for green products. Challenges and Issues for Effective Marketing Management ISBN, 978-971.
Nafkha, R., & Woźniakowski, T. (2018). Households electricity usage analysis and the effectiveness of changing tariff group. Information Systems in Management, 7.
NUS. (2017). Student switch off. Retrieved from http://studentswitchoff.org/
O'Brien, W., Wagner, A., Schweiker, M., Mahdavi, A., Day, J., Kjærgaard, M. B., ... & Berger, C. (2020). Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. Building and Environment, 178, 106738.
Onwezen, M. C., Bouwman, E. P., Reinders, M. J., & Dagevos, H. (2021). A systematic review on consumer acceptance of alternative proteins: Pulses, algae, insects, plant-based meat alternatives, and cultured meat. Appetite, 159, 105058.
Otto, S., & Pensini, P. (2017). Nature-based environmental education of children: Environmental knowledge and connectedness to nature, together, are related to ecological behaviour. Global Environmental Change, 47, 88-94.
Salari, M., & Javid, R. J. (2017). Modeling household energy expenditure in the united states. Renewable and Sustainable Energy Reviews, 69, 822-832.
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students: Pearson education.
Šćepanović, S., Warnier, M., & Nurminen, J. K. (2017). The role of context in residential energy interventions: A meta review. Renewable and Sustainable Energy Reviews, 77, 1146-1168.
Schwartz, G. E. (1977). Biofeedback and the self-management of disregulation disorders. Behavioral self-management, strategies, techniques and outcomes. Nueva York: Brunner and Mazel.
Sekaran, U., & Bougie, R. (2010). Research for business–a skill building approach. In: John-Wiley and Sons, New York, NY.
Sen, S., & Ganguly, S. (2017). Opportunities, barriers and issues with renewable energy development–a discussion. Renewable and Sustainable Energy Reviews, 69, 1170-1181.
SenGupta, A. K. (2017). Ion exchange in environmental processes: Fundamentals, applications and sustainable technology: John Wiley & Sons.
Sheeran, P., & Conner, M. (2019). Degree of reasoned action predicts increased intentional control and reduced habitual control over health behaviors. Social Science & Medicine, 228, 68-74.
Shen, M., Lu, Y., & Law, Y. E. (2019). The effect of goal setting strategy and residents’goal commitment on household electricity consumption in singapore.
Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2022). Conquering unwanted habits at the workplace: Day-level processes and longer term change in habit strength. Journal of Applied Psychology, 107(5), 831.
Soto, E. A., Bosman, L. B., Wollega, E., & Leon-Salas, W. D. (2021). Peer-to-peer energy trading: A review of the literature. Applied Energy, 283, 116268.
Stern, P. C. (2000). New environmental theories: Toward a coherent theory of environmentally significant behavior. Journal of social issues, 56(3), 407-424.
Thøgersen, J. (2018). Frugal or green? Basic drivers of energy saving in european households. Journal of Cleaner Production, 197, 1521-1530.
Timm, S. N., & Deal, B. M. (2016). Effective or ephemeral? The role of energy information dashboards in changing occupant energy behaviors. Energy Research & Social Science, 19, 11-20.
Úbeda-Colomer, J., Ginis, K. A. M., Monforte, J., Pérez-Samaniego, V., & Devís-Devís, J. (2019). Predicting physical activity in university students with disabilities: The role of social ecological barriers in the theory of planned behaviour. Disability and health journal, 12(4), 574-580.
Ulucak, Z. Ş., İlkay, S. Ç., Özcan, B., & Gedikli, A. (2020). Financial globalization and environmental degradation nexus: Evidence from emerging economies. Resources Policy, 67, 101698.
Vainio, A., Pulkka, A., Paloniemi, R., Varho, V., & Tapio, P. (2020). Citizens’ sustainable, future-oriented energy behaviours in energy transition. Journal of Cleaner Production, 245, 118801.
van den Broek, K. L., Walker, I., & Klöckner, C. A. (2019). Drivers of energy saving behaviour: The relative influence of intentional, normative, situational and habitual processes. Energy Policy, 132, 811-819.
Van der Heijden, J. (2017). Innovations in urban climate governance: Voluntary programs for low carbon buildings and cities: Cambridge University Press.
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Yoo, S. H., Hayford, S. R., & Agadjanian, V. (2017). Old habits die hard? Lingering son preference in an era of normalizing sex ratios at birth in south korea. Population Research and Policy Review, 36(1), 25-54.
Zhukovskiy, Y., Batueva, D., Buldysko, A., & Shabalov, M. (2019). Motivation towards energy saving by means of iot personal energy manager platform. Paper presented at the Journal of Physics: Conference Series.
Anantharaman, M. (2018). Critical sustainable consumption: A research agenda. Journal of Environmental Studies and Sciences, 8(4), 553-561.
Andor, M. A., Gerster, A., Peters, J., & Schmidt, C. M. (2020). Social norms and energy conservation beyond the us. Journal of Environmental Economics and Management, 103, 102351.
Asensio, O. I., & Delmas, M. A. (2016). The dynamics of behavior change: Evidence from energy conservation. Journal of Economic Behavior & Organization, 126, 196-212.
Axon, S., Morrissey, J., Aiesha, R., Hillman, J., Revez, A., Lennon, B., . . . Boo, E. (2018). The human factor: Classification of european community-based behaviour change initiatives. Journal of cleaner production, 182, 567-586.
BEIS. (2018). Energy consumption in the uk. Retrieved from https://www.gov.uk/government/statistics/energy-consumption-in-the-uk.
Blessing, L. T., & Chakrabarti, A. (2009). Drm, a design research methodology: Springer Science & Business Media.
Bolderdijk, J. W., Lehman, P. K., & Geller, E. S. (2018). Encouraging pro‐environmental behaviour with rewards and penalties. Environmental psychology: An introduction, 273-282.
Borozan, D. (2018). Regional-level household energy consumption determinants: The european perspective. Renewable and Sustainable Energy Reviews, 90, 347-355.
Boudlaie, H., Boghosian, A., Chandra, T., Al-Hawary, S. I. S., Hussein, R. A., Talib, S. G., ... & Iswanto, A. H. (2022). Investigating the effect of humility of Muslim leaders on the moral behaviours of followers and spirituality at work in Islamic society. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Cai, Y., Sam, C. Y., & Chang, T. (2018). Nexus between clean energy consumption, economic growth and co2 emissions. Journal of Cleaner Production, 182, 1001-1011.
Caravaggio, N., Caravella, S., Ishizaka, A., & Resce, G. (2019). Beyond co2: A multi-criteria analysis of air pollution in europe. Journal of Cleaner Production, 219, 576-586.
Carden, L., & Wood, W. (2018). Habit formation and change. Current Opinion in Behavioral Sciences, 20, 117-122.
Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods: John Wiley & Sons Inc.
Chao, M.-C. (2016). The determinants of individuals’efforts for reducing energy use in transportation and residence.
Cohen, J. (1992). A power primer. Psychological bulletin, 112(1), 155.
Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative: Prentice Hall Upper Saddle River, NJ.
Du, J., & Pan, W. (2021). Examining energy saving behaviors in student dormitories using an expanded theory of planned behavior. Habitat international, 107, 102308.
El-Bayeh, C. Z., Eicker, U., Alzaareer, K., Brahmi, B., & Zellagui, M. (2020). A novel data-energy management algorithm for smart transformers to optimize the total load demand in smart homes. Energies, 13(18), 4984.
Fabi, V., Barthelmes, V. M., Schweiker, M., & Corgnati, S. P. (2017). Insights into the effects of occupant behaviour lifestyles and building automation on building energy use. Energy Procedia, 140, 48-56.
Fjellså, I. F., Silvast, A., & Skjølsvold, T. M. (2021). Justice aspects of flexible household electricity consumption in future smart energy systems. Environmental Innovation and Societal Transitions, 38, 98-109.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
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.
Gatersleben, B. (2018). Measuring environmental behaviour. Environmental psychology: An introduction, 155-166.
Gholamzadehmir, M., Sparks, P., & Farsides, T. (2019). Moral licensing, moral cleansing and pro-environmental behaviour: The moderating role of pro-environmental attitudes. Journal of Environmental Psychology, 65, 101334.
Gibson, L. P., Magnan, R. E., Kramer, E. B., & Bryan, A. D. (2021). Theory of planned behavior analysis of social distancing during the COVID-19 pandemic: Focusing on the intention–behavior gap. Annals of Behavioral Medicine, 55(8), 805-812.
Gu, W., Zhao, X., Yan, X., Wang, C., & Li, Q. (2019). Energy technological progress, energy consumption, and co2 emissions: Empirical evidence from china. Journal of Cleaner Production, 236, 117666.
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.
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (pls-sem) an emerging tool in business research. European Business Review, 26(2), 106-121.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414-433.
Härkönen, K., Hannola, L., & Pyrhönen, O. (2022). Advancing the smart city objectives of electric demand management and new services to residents by home automation—learnings from a case. Energy Efficiency, 15(5), 1-13.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using pls path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
HM Government. (2018). Green gb & ni. Retrieved from https://greengb.campaign.gov.uk/
IPCC. (2007). Climate change 2007. Retrieved from https://www.ipcc.ch/report/
Jareemit, D., & Limmeechokchai, B. (2019). Impact of homeowner's behaviours on residential energy consumption in bangkok, thailand. Journal of Building Engineering, 21, 328-335.
Kalis, A., & Ometto, D. (2019). An anscombean perspective on habitual action. Topoi, 1-12.
Kim, J. (2017). A way to diversify energy efficiency policy: An approach based on behavioral economics.
Klöckner, C. A., & Blöbaum, A. (2010). A comprehensive action determination model: Toward a broader understanding of ecological behaviour using the example of travel mode choice. Journal of Environmental Psychology, 30(4), 574-586.
Koon, O., Chan, R. Y., & Sharma, P. (2020). Moderating effects of socio-cultural values on pro-environmental behaviors. Marketing Intelligence & Planning.
Kothari, C. R. (2004). Research methodology: Methods and techniques: New Age International.
Kumar, S., & Phrommathed, P. (2005). Research methodology: Springer.
Lange, F., & Dewitte, S. (2019). Measuring pro-environmental behavior: Review and recommendations. Journal of Environmental Psychology, 63, 92-100.
Mahardika, H., Thomas, D., Ewing, M. T., & Japutra, A. (2019). Predicting consumers’ trial/adoption of new technology: Revisiting the behavioral expectations–behavioral intentions debate. The International Review of Retail, Distribution and Consumer Research, 29(1), 99-117.
Marchant Gonzalez, G., Boiché, J., & Torregrosa, M. (2020). Validación en español de las propiedades psicométricas de la generic multifaceted automaticity scale (gmas) para actividades físicas. Revista de psicología del deporte, 29(1), 0067-0074.
Merabet, G. H., Essaaidi, M., Haddou, M. B., Qolomany, B., Qadir, J., Anan, M., ... & Benhaddou, D. (2021). Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. Renewable and Sustainable Energy Reviews, 144, 110969.
Mikulčić, H., Klemeš, J. J., Vujanović, M., Urbaniec, K., & Duić, N. (2016). Reducing greenhouse gasses emissions by fostering the deployment of alternative raw materials and energy sources in the cleaner cement manufacturing process. Journal of cleaner production, 136, 119-132.
Mohammad, A. A. S. (2020). The effect of customer empowerment and customer engagement on marketing performance: the mediating effect of brand community membership. Verslas: Teorija ir praktika/Business: Theory and Practice, 21(1), 30-38.
Mohammad, A.A.S (2019). Customers' electronic loyalty of banks working in Jordan: The effect of electronic customer relationship management. International Journal of Scientific and Technology Research, volume 8, issue 12: pp 3809-3815.
Moojen, J. R. D. (2020). Stimulating pro-environmental behaviour by addressing altruistic and biospheric values or egoistic values.
Mukhlis, H., Al-Hawary, S. I. S., Linh, H. V., Hani, I. R., & Adnan, S. (2022). Religious capital and job engagement among Malaysian Muslim nurses during the COVID-19 pandemic. HTS Teologiese Studies/Theological Studies, 78(1), 6.
Munjal, S. (2019). Scale validation of consumer purchase decision behaviour for green products. Challenges and Issues for Effective Marketing Management ISBN, 978-971.
Nafkha, R., & Woźniakowski, T. (2018). Households electricity usage analysis and the effectiveness of changing tariff group. Information Systems in Management, 7.
NUS. (2017). Student switch off. Retrieved from http://studentswitchoff.org/
O'Brien, W., Wagner, A., Schweiker, M., Mahdavi, A., Day, J., Kjærgaard, M. B., ... & Berger, C. (2020). Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. Building and Environment, 178, 106738.
Onwezen, M. C., Bouwman, E. P., Reinders, M. J., & Dagevos, H. (2021). A systematic review on consumer acceptance of alternative proteins: Pulses, algae, insects, plant-based meat alternatives, and cultured meat. Appetite, 159, 105058.
Otto, S., & Pensini, P. (2017). Nature-based environmental education of children: Environmental knowledge and connectedness to nature, together, are related to ecological behaviour. Global Environmental Change, 47, 88-94.
Salari, M., & Javid, R. J. (2017). Modeling household energy expenditure in the united states. Renewable and Sustainable Energy Reviews, 69, 822-832.
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students: Pearson education.
Šćepanović, S., Warnier, M., & Nurminen, J. K. (2017). The role of context in residential energy interventions: A meta review. Renewable and Sustainable Energy Reviews, 77, 1146-1168.
Schwartz, G. E. (1977). Biofeedback and the self-management of disregulation disorders. Behavioral self-management, strategies, techniques and outcomes. Nueva York: Brunner and Mazel.
Sekaran, U., & Bougie, R. (2010). Research for business–a skill building approach. In: John-Wiley and Sons, New York, NY.
Sen, S., & Ganguly, S. (2017). Opportunities, barriers and issues with renewable energy development–a discussion. Renewable and Sustainable Energy Reviews, 69, 1170-1181.
SenGupta, A. K. (2017). Ion exchange in environmental processes: Fundamentals, applications and sustainable technology: John Wiley & Sons.
Sheeran, P., & Conner, M. (2019). Degree of reasoned action predicts increased intentional control and reduced habitual control over health behaviors. Social Science & Medicine, 228, 68-74.
Shen, M., Lu, Y., & Law, Y. E. (2019). The effect of goal setting strategy and residents’goal commitment on household electricity consumption in singapore.
Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2022). Conquering unwanted habits at the workplace: Day-level processes and longer term change in habit strength. Journal of Applied Psychology, 107(5), 831.
Soto, E. A., Bosman, L. B., Wollega, E., & Leon-Salas, W. D. (2021). Peer-to-peer energy trading: A review of the literature. Applied Energy, 283, 116268.
Stern, P. C. (2000). New environmental theories: Toward a coherent theory of environmentally significant behavior. Journal of social issues, 56(3), 407-424.
Thøgersen, J. (2018). Frugal or green? Basic drivers of energy saving in european households. Journal of Cleaner Production, 197, 1521-1530.
Timm, S. N., & Deal, B. M. (2016). Effective or ephemeral? The role of energy information dashboards in changing occupant energy behaviors. Energy Research & Social Science, 19, 11-20.
Úbeda-Colomer, J., Ginis, K. A. M., Monforte, J., Pérez-Samaniego, V., & Devís-Devís, J. (2019). Predicting physical activity in university students with disabilities: The role of social ecological barriers in the theory of planned behaviour. Disability and health journal, 12(4), 574-580.
Ulucak, Z. Ş., İlkay, S. Ç., Özcan, B., & Gedikli, A. (2020). Financial globalization and environmental degradation nexus: Evidence from emerging economies. Resources Policy, 67, 101698.
Vainio, A., Pulkka, A., Paloniemi, R., Varho, V., & Tapio, P. (2020). Citizens’ sustainable, future-oriented energy behaviours in energy transition. Journal of Cleaner Production, 245, 118801.
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