IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v165y2022ics1364032122005214.html
   My bibliography  Save this article

Sustainable technologies adoption research: A weight and meta-analysis

Author

Listed:
  • Neves, C.
  • Oliveira, T.
  • Santini, F.

Abstract

Along with escalating environmental problems, the role of technologies in mitigating those problems has also increased. Researchers have been studying the adoption of sustainable technologies, and the number of articles on the topic has grown in recent years. The current study presents a weight and meta-analysis that synthesizes and combines previous literature on sustainable technologies adoption, evaluating the state of the art and providing a comprehensive picture of the phenomena. Using 44 articles and 48 datasets, the results demonstrate that attitude, benefits, personal norms, incentives, and perceived behavioral control are the best predictors of the behavioral intention of sustainable technologies adoption. Moreover, journal ranking, innovation, individualism, and long-term orientation, as cultural moderators, as well as electricity access and renewable energy, as energy efficiency indicators, were found to moderate subjective norms and behavioral intention. The findings of this study are relevant for future research support.

Suggested Citation

  • Neves, C. & Oliveira, T. & Santini, F., 2022. "Sustainable technologies adoption research: A weight and meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:rensus:v:165:y:2022:i:c:s1364032122005214
    DOI: 10.1016/j.rser.2022.112627
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122005214
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112627?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tan, Chin-Seang & Ooi, Hooi-Yin & Goh, Yen-Nee, 2017. "A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia," Energy Policy, Elsevier, vol. 107(C), pages 459-471.
    2. Benjamin T. Hazen & Robert E. Overstreet & Yacan Wang, 2015. "Predicting Public Bicycle Adoption Using the Technology Acceptance Model," Sustainability, MDPI, vol. 7(11), pages 1-16, October.
    3. Taso, Yu-Chung & Ho, Chien-Wei & Chen, Ruey-Shii, 2020. "The impact of problem awareness and biospheric values on the intention to use a smart meter," Energy Policy, Elsevier, vol. 147(C).
    4. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    5. Perri, Cecilia & Giglio, Carlo & Corvello, Vincenzo, 2020. "Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    6. Kumar Shalender & Naman Sharma, 2021. "Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 665-681, January.
    7. Patricia Baudier & Chantal Ammi & Matthieu Deboeuf-Rouchon, 2020. "Smart home : highly-educated students' acceptance," Post-Print hal-02292941, HAL.
    8. Neves, Catarina & Oliveira, Tiago, 2021. "Drivers of consumers’ change to an energy-efficient heating appliance (EEHA) in households: Evidence from five European countries," Applied Energy, Elsevier, vol. 298(C).
    9. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    10. Jabeen, Gul & Ahmad, Munir & Zhang, Qingyu, 2021. "Perceived critical factors affecting consumers’ intention to purchase renewable generation technologies: Rural-urban heterogeneity," Energy, Elsevier, vol. 218(C).
    11. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    12. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    13. Li Hua & Shanyong Wang, 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, MDPI, vol. 11(10), pages 1-17, May.
    14. Saqib Ali & Petra Poulova & Ahsan Akbar & Hafiz Muhammad Usama Javed & Muhammad Danish, 2020. "Determining the Influencing Factors in the Adoption of Solar Photovoltaic Technology in Pakistan: A Decomposed Technology Acceptance Model Approach," Economies, MDPI, vol. 8(4), pages 1-20, December.
    15. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2019. "Perceived Value and Customer Adoption of Electric and Hybrid Vehicles," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    16. Nils Urbach & Stefan Smolnik & Gerold Riempp, 2009. "The State of Research on Information Systems Success," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(4), pages 315-325, August.
    17. Zeinab Rezvani & Johan Jansson & Maria Bengtsson, 2018. "Consumer motivations for sustainable consumption: The interaction of gain, normative and hedonic motivations on electric vehicle adoption," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1272-1283, December.
    18. Kim, Yeolib & Peterson, Robert A., 2017. "A Meta-analysis of Online Trust Relationships in E-commerce," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 44-54.
    19. Neves, Joana & Oliveira, Tiago, 2021. "Understanding energy-efficient heating appliance behavior change: The moderating impact of the green self-identity," Energy, Elsevier, vol. 225(C).
    20. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    21. Yang, Shu & Cheng, Peng & Li, Jun & Wang, Shanyong, 2019. "Which group should policies target? Effects of incentive policies and product cognitions for electric vehicle adoption among Chinese consumers," Energy Policy, Elsevier, vol. 135(C).
    22. Chou, Jui-Sheng & Kim, Changwan & Ung, Thanh-Khiet & Yutami, I Gusti Ayu Novi & Lin, Guo-Tai & Son, Hyojoo, 2015. "Cross-country review of smart grid adoption in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 192-213.
    23. Adnan, Nadia & Nordin, Shahrina Md & Rahman, Imran & Rasli, Amran Md, 2017. "A new era of sustainable transport: An experimental examination on forecasting adoption behavior of EVs among Malaysian consumer," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 279-295.
    24. Girod, Bastien & Mayer, Sebastian & Nägele, Florian, 2017. "Economic versus belief-based models: Shedding light on the adoption of novel green technologies," Energy Policy, Elsevier, vol. 101(C), pages 415-426.
    25. WeiYu Ji & Edwin H. W. Chan, 2019. "Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study," Energies, MDPI, vol. 12(21), pages 1-24, November.
    26. Barbarossa, Camilla & De Pelsmacker, Patrick & Moons, Ingrid, 2017. "Personal Values, Green Self-identity and Electric Car Adoption," Ecological Economics, Elsevier, vol. 140(C), pages 190-200.
    27. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    28. Wang, Xiao-Wu & Cao, Yu-Mei & Zhang, Ning, 2021. "The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions," Energy Policy, Elsevier, vol. 151(C).
    29. Hackbarth, André & Löbbe, Sabine, 2020. "Attitudes, preferences, and intentions of German households concerning participation in peer-to-peer electricity trading," Energy Policy, Elsevier, vol. 138(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Retno Purwani Setyaningrum & Muamar Nur Kholid & Priyo Susilo, 2023. "Sustainable SMEs Performance and Green Competitive Advantage: The Role of Green Creativity, Business Independence and Green IT Empowerment," Sustainability, MDPI, vol. 15(15), pages 1-14, August.
    2. Duan, Mimi & Li, Lingyan & Liu, Xiaojun & Pei, Jiajia & Song, Huihui, 2023. "Turning awareness into behavior: Meta-analysis of household residential life energy transition behavior from the dual perspective of internal driving forces and external inducing forces," Energy, Elsevier, vol. 279(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. WeiYu Ji & Edwin H. W. Chan, 2019. "Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study," Energies, MDPI, vol. 12(21), pages 1-24, November.
    2. Dongming Wu & Liukai Yu & Qianqian Zhang & Yangyang Jiao & Yuhe Wu, 2021. "Materialism, Ecological Consciousness and Purchasing Intention of Electric Vehicles: An Empirical Analysis among Chinese Consumers," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    3. Große-Kreul, Felix, 2022. "What will drive household adoption of smart energy? Insights from a consumer acceptance study in Germany," Utilities Policy, Elsevier, vol. 75(C).
    4. Muhammad Yaseen Bhutto & Xiaohui Liu & Yasir Ali Soomro & Myriam Ertz & Yasser Baeshen, 2020. "Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(1), pages 1-25, December.
    5. Le Thi Dieu Hien & Khuu Ngoc Huyen & Thi Hong Loc Hoang, 2023. "Factors Affecting Energy-Saving Intentions among Youth in Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 603-609, November.
    6. Muhammad Yaseen Bhutto & Yasir Ali Soomro & Hailan Yang, 2022. "Extending the Theory of Planned Behavior: Predicting Young Consumer Purchase Behavior of Energy-Efficient Appliances (Evidence From Developing Economy)," SAGE Open, , vol. 12(1), pages 21582440221, February.
    7. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Imran Hossain & Maria Fekete-Farkas & Md. Nekmahmud, 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, MDPI, vol. 15(13), pages 1-20, June.
    9. Xin, Yongrong & Long, Dengjie, 2023. "Linking eco-label knowledge and sustainable consumption of renewable energy: A roadmap towards green revolution," Renewable Energy, Elsevier, vol. 207(C), pages 531-538.
    10. Christine Milchram & Geerten Van de Kaa & Neelke Doorn & Rolf Künneke, 2018. "Moral Values as Factors for Social Acceptance of Smart Grid Technologies," Sustainability, MDPI, vol. 10(8), pages 1-23, August.
    11. Shucai Bai & Fangyi Li & Wu Xie, 2022. "Green but Unpopular? Analysis on Purchase Intention of Heat Pump Water Heaters in China," Energies, MDPI, vol. 15(7), pages 1-19, March.
    12. Quoc Nghi Nguyen & Thi Hong Loc Hoang & Van Nam Mai, 2022. "Applying the Theory of Planned Behavior to Analyze Household Energy-Saving Behavior," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 287-293, September.
    13. Fatoki Olawale, 2020. "Factors Influencing the Purchase of Energy-Efficient Appliances by Young Consumers in South Africa," Foundations of Management, Sciendo, vol. 12(1), pages 151-166, January.
    14. Lin, Boqiang & Lan, Tianxu, 2023. "Progress of increasing-block electricity pricing policy implementation in China's first-tier cities and the impact of resident policy perception," Energy Policy, Elsevier, vol. 177(C).
    15. Ferreira, Laura & Oliveira, Tiago & Neves, Catarina, 2023. "Consumer's intention to use and recommend smart home technologies: The role of environmental awareness," Energy, Elsevier, vol. 263(PC).
    16. Nuttakrij Apipuchayakul & Sujitra Vassanadumrongdee, 2020. "Factors Affecting the Consumption of Energy-Efficient Lighting Products: Exploring Purchase Behaviors of Thai Consumers," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    17. Muhammad Rizwan Ali & Muhammad Shafiq & Murad Andejany, 2021. "Determinants of Consumers’ Intentions towards the Purchase of Energy Efficient Appliances in Pakistan: An Extended Model of the Theory of Planned Behavior," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    18. Bauwens, Thomas, 2019. "Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders," Energy Policy, Elsevier, vol. 129(C), pages 841-852.
    19. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2020. "Potential Early Adopters of Hybrid and Electric Vehicles in Spain—Towards a Customer Profile," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    20. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:165:y:2022:i:c:s1364032122005214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.