IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v25y2023i64p660.html
   My bibliography  Save this article

Aligning Public Policy with REPowerEU Program Objectives by Adopting EESS Solutions: A Technology Acceptance Model Approach

Author

Listed:
  • Ion Popa

    (Bucharest University of Economic Studies, Romania and Academy of Romanian Scientists, Romania)

  • Marian Mihai Cioc

    (Bucharest University of Economic Studies, Romania)

  • Stefan Catalin Pop

    (Bucharest University of Economic Studies, Romania)

  • Daniel Botez

    (Vasile Alecsandri University of Bacau, Romania)

  • Marius-Ioan Pantea

    (West University of Timisoara, Romania)

Abstract

The achievement of short-term energy savings through changes in user consumption behaviour is one of the main directions addressed by the REPowerEU program. This paper investigates the perspective of increasing energy efficiency at the level of domestic consumers in Romania by adopting energy efficiency smart solutions (EESS). The research is based on the extended technology adoption model and analyses the behaviour of Romanian consumers regarding the intention to use EESS solutions, in relation to three main influencing factors (awareness, environmental protection considerations, and public policy) moderated by demographic factors. To validate the research hypotheses, a survey was organised between January and March 2023, and structural equation modelling was used to highlight the effects of the determining factors on adoption intention. The research results suggest that all the predictors considered positively influence the behavioral intention to use EESS, with public policy having the greatest effect, followed by awareness. The results obtained suggest that the behaviour of household energy consumers towards adopting EESS is different depending on their age and average income. Additionally, through the IMPA model, a series of managerial interventions are formulated, mainly targeted at the authorities, in order to align Romanian public policies with the objectives of the REPowerEU program, in the context of promoting voluntary measures geared to the lifestyle and behaviour of household consumers by adopting EESS solutions. The limits of the research mainly refer to the lower familiarity acquired as a result of experience in use, in the context of the still early stage of development of the analysed technologies, but also to the exclusion from the analysis of some constructs of the extended model of technology acceptance, such as hedonic motivation or social influences, which would have allowed a more precise understanding of consumer attitudes.

Suggested Citation

  • Ion Popa & Marian Mihai Cioc & Stefan Catalin Pop & Daniel Botez & Marius-Ioan Pantea, 2023. "Aligning Public Policy with REPowerEU Program Objectives by Adopting EESS Solutions: A Technology Acceptance Model Approach," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 660-660, August.
    • Handle: RePEc:aes:amfeco:v:25:y:2023:i:64:p:660
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3225.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Challenge for Energy Saving in Smart Homes: Exploring the Interest for IoT Devices Acquisition in Romania," Energies, MDPI, vol. 14(22), pages 1-12, November.
    3. Nicolae Nae & Simona Catalina ?tefan & Catalina Florentina Albu, 2020. "Corporate Social Responsibility'S Pathways Towards Customer Loyalty In Romanian Retail: A Pls-Sem Mediation Analysis," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(3), pages 99-118, September.
    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. Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah Binti, 2016. "Renewable energy technology acceptance in Peninsular Malaysia," Energy Policy, Elsevier, vol. 88(C), pages 1-10.
    6. Gimpel, Henner & Graf, Vanessa & Graf-Drasch, Valerie, 2020. "A comprehensive model for individuals’ acceptance of smart energy technology – A meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    7. Wang, Ning & Tian, Hangqi & Zhu, Shunbo & Li, Yuan, 2022. "Analysis of public acceptance of electric vehicle charging scheduling based on the technology acceptance model," Energy, Elsevier, vol. 258(C).
    8. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    9. Simona Catalina ?TEFAN & Cezar-Petre SIMION & ?tefan Catalin POPA & Catalina Florentina ALBU & Ana-Madalina POTCOVARU, 2020. "Enablers And Barriers Of Technology Transfer In Romanian Organizations In The Context Of The Knowledge-Based Economy: A Factor Analysis," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(4), pages 40-48, December.
    10. 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).
    11. Gosnell, Greer & McCoy, Daire, 2023. "Market failures and willingness to accept smart meters: Experimental evidence from the UK," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    12. Whittle, Colin & Jones, Christopher R. & While, Aidan, 2020. "Empowering householders: Identifying predictors of intentions to use a home energy management system in the United Kingdom," Energy Policy, Elsevier, vol. 139(C).
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2022. "Green energy adoption and its determinants: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    3. Ryu, Do-Hyeon & Kim, Kwang-Jae, 2024. "The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    4. Marimuthu, Malliga & D'Souza, Clare & Shukla, Yupal, 2022. "Integrating community value into the adoption framework: A systematic review of conceptual research on participatory smart city applications," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. 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).
    6. Khondker Mohammad Zobair & Louis Sanzogni & Luke Houghton & Md Zahidul Islam, 2021. "Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-31, September.
    7. Abdeshahian, Peyman & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2016. "Potential of biogas production from farm animal waste in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 714-723.
    8. Tsvetanov, Tsvetan, 2022. "The deterring effect of monetary costs on smart meter adoption," Applied Energy, Elsevier, vol. 318(C).
    9. Tang, Shengwen & Chen, Jingtao & Sun, Peigui & Li, Yang & Yu, Peng & Chen, E., 2019. "Current and future hydropower development in Southeast Asia countries (Malaysia, Indonesia, Thailand and Myanmar)," Energy Policy, Elsevier, vol. 129(C), pages 239-249.
    10. Mai Mostafa Awad & Abd‘Elazez Hashem & Hend Mohamed Naguib, 2022. "The Impact of Lean Management Practices on Economic Sustainability in Services Sector," Sustainability, MDPI, vol. 14(15), pages 1-27, July.
    11. Hayford Asare Obeng & Richard Arhinful & Leviticus Mensah & Jerry Seth Owusu-Sarfo, 2024. "Assessing the Influence of the Knowledge Management Cycle on Job Satisfaction and Organizational Culture Considering the Interplay of Employee Engagement," Sustainability, MDPI, vol. 16(20), pages 1-28, October.
    12. Morais, Ana Catarina & Ishida, Akira & Matsuda, Ruriko, 2024. "Ethical food consumption drivers in Japan. A S–O-R framework application using PLS-SEM with a MGA assessment based on clustering," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    13. Kautish, Pradeep & Paço, Arminda & Thaichon, Park, 2022. "Sustainable consumption and plastic packaging: Relationships among product involvement, perceived marketplace influence and choice behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    14. Alvaro Lleo & Miquel Bastons & Carlos Rey & Fernando Ruiz-Perez, 2021. "Purpose Implementation: Conceptualization and Measurement," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    15. Vu Ngoc Xuan & Le Thi Loan & Nguyen Minh Hoa & Nguyen Thi Dao, 2023. "Using a Unified Model of TPB, NAM, and SOBC to Investigate the Energy-Saving Behaviour of Urban Residents in Vietnam: Moderation Role of Cultural Values," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    16. Zhikun Ding & Xinyue Huang & Xinrui Wang & Qiaohui Chen & Jiasheng Zhang & Zezhou Wu, 2024. "Investigating the Determinants of Construction Stakeholders’ Intention to Use Construction and Demolition Waste Recycling Products Based on the S-O-R Model in China," Sustainability, MDPI, vol. 16(6), pages 1-17, March.
    17. A. Irimia-Diéguez & F. Velicia-Martín & M. Aguayo-Camacho, 2023. "Predicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    18. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    19. Sangryeong Lee & Soo-Kyoung Lee & Jin-Woo Park, 2024. "The Effect of Service Quality and Sustainability Practices on Brand Equity: The Case of Korean Air Passengers," Sustainability, MDPI, vol. 16(11), pages 1-20, May.
    20. Mohamed Amr Sultan & Tomaž Kramberger & Mahmoud Barakat & Ahmed Hussein Ali, 2023. "Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model," Sustainability, MDPI, vol. 15(17), pages 1-25, August.

    More about this item

    Keywords

    energy efficiency; public policies; the technology acceptance model; TAM; UTAUT; UTAUT2; smart devices; EESS;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    Statistics

    Access and download statistics

    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:aes:amfeco:v:25:y:2023:i:64:p:660. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.