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Affordances-Based Behavior Change for Energy Efficiency Among Malaysians: A Conceptual Model

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Advances in Visual Informatics (IVIC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14322))

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Abstract

Climate change is a pressing global issue that affects countries worldwide. To mitigate its impacts, reducing carbon emissions is crucial. One approach is minimizing energy consumption, including among domestic consumers. Understanding the driving factors influencing consumer behavior change is essential, and Information Systems (IS) have been proposed as intervention tools. However, research on how IS’s functional affordances influence behavior changes in residential energy consumers is lacking, along with comprehensive models for explaining behavior change. The need to address climate change has prompted the search for strategies to reduce carbon emissions. Energy consumption reduction, particularly in households, is pivotal. This demands an understanding of factors driving consumer behavior change, wherein Information Systems (IS) can play a role. However, research gaps exist concerning the influence of IS functional affordances on residential energy consumers’ behavior change. The research aims to achieve several objectives. First, it seeks to study the factors that shape behavior change in energy efficiency, specifically those enabled by IS. Second, the goal is to formulate an affordance-based model that elucidates behavior change towards energy efficiency. Lastly, the research aims to evaluate and validate this proposed model. To address the objectives, a multi-faceted approach leveraging key theories is adopted. The Affordance Theory, Sensemaking Theory, Belief-Action-Outcome Framework, and Energy Informatics Framework will provide valuable insights. By integrating these theories, a preliminary Affordance-based Behavior Change Model for Energy Efficiency is conceptualized. This research holds significant potential outcomes. It can shed light on the factors influencing behavior change in the context of energy efficiency, facilitated by IS. The development of an affordance-based model could offer a comprehensive framework for understanding and predicting consumer behavior changes.

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Acknowledgment

Authors acknowledge the Ministry of Higher Education (MOHE) for funding under the Fundamental Research Grant Scheme (FRGS) (FRGS/1/2022/ICT03/UKM/02/8).

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Authors and Affiliations

  1. The National University of Malaysia, Bangi, Selangor, Malaysia

    Mohamad Taha Ijab, Hamizah Mohamad Hariri, Norshita Mat Nayan & Mohd Azul Mohamad Salleh

  2. The University of Malaya, Kuala Lumpur, Malaysia

    Suraya Hamid

Authors
  1. Mohamad Taha Ijab
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  2. Hamizah Mohamad Hariri
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  3. Norshita Mat Nayan
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  4. Mohd Azul Mohamad Salleh
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  5. Suraya Hamid
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Corresponding author

Correspondence to Mohamad Taha Ijab .

Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Kajang, Selangor, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, Cambridge, UK

    Peter Robinson

  3. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  4. MIT Sloan School of Management, Asia School of Business, Cambridge, MA, USA

    Renato Lima De Oliveira

  5. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  6. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  7. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Rabiah Abdul Kadir

  8. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Ummul Hanan Mohamad

  9. Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Mohammad Nazir Ahmad

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ijab, M.T., Hariri, H.M., Nayan, N.M., Salleh, M.A.M., Hamid, S. (2024). Affordances-Based Behavior Change for Energy Efficiency Among Malaysians: A Conceptual Model. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2023. Lecture Notes in Computer Science, vol 14322. Springer, Singapore. https://doi.org/10.1007/978-981-99-7339-2_29

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  • DOI: https://doi.org/10.1007/978-981-99-7339-2_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7338-5

  • Online ISBN: 978-981-99-7339-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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