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  1. Home
  3. Research Domains
  5. Built Environment And Design
  7. Design
  9. Ergonomics Design
  11. Fostering Sustainable Consumer Behaviour: Unravelling The Determinants Of Repair Intentions For Smart Appliances.
  1. Home
  3. Research Domains
  5. Built Environment And Design
  7. Design
  9. Ergonomics Design
  11. Fostering Sustainable Consumer Behaviour: Unravelling The Determinants Of Repair Intentions For Smart Appliances.

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Fostering sustainable consumer behaviour: Unravelling the determinants of repair intentions for smart appliances.

Marcel Nadro1, Uthayasankar Sivarajah2, Vincent Charles3

  • 1School of Management, University of Bradford, Richmond Road, Bradford, BD7 1DP, West Yorkshire, UK.

Journal of Environmental Management
|August 31, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Understanding smart appliance repair is key for sustainability. The cost of repair, perceived control, attitude, and financial benefits directly drive repair intention, while environmental knowledge influences it indirectly.

Keywords:
ConsumersEnvironmental knowledgeRepair servicesSmart appliances

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Area of Science:

  • Consumer behavior research
  • Sustainable consumption studies
  • Smart home technology adoption

Background:

  • Consumer demand for repair services is crucial for extending product lifespans and promoting sustainability.
  • Factors influencing repair intention for smart appliances are not well understood, creating a knowledge gap.
  • Existing behavioral theories may not fully capture the nuances of smart appliance repair decisions.

Purpose of the Study:

  • To investigate the key determinants of consumer repair intention for smart appliances.
  • To extend the Theory of Planned Behaviour by incorporating environmental knowledge, repair costs, financial benefits, and data security.
  • To provide actionable insights for policymakers, repair providers, and environmental organizations.

Main Methods:

Theory of planned behaviour
  • Data collected from 383 participants in the United Kingdom.
  • Partial Least Squares (PLS) approach used for data analysis.
  • An extended Theory of Planned Behaviour model was tested.

    • Main Results:

    • Cost of repair, perceived behavioral control, attitude, and financial benefit were significant direct predictors of repair intention.
    • Subjective norms did not significantly influence repair intention.
    • Environmental knowledge indirectly affected repair intention through attitude, while data security's impact was not moderated by attitude.

    Conclusions:

    • The extended Theory of Planned Behaviour provides a robust framework for understanding smart appliance repair intentions.
    • Interventions should focus on cost, perceived control, and highlighting financial benefits to encourage repairs.
    • Policy and educational initiatives can leverage environmental knowledge to foster pro-repair attitudes.