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Analysing the failure factors of eco‐friendly home appliances based on a user‐centered approach

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  • Jungwoo Shin
  • Suna Kang
  • Donghyun Lee
  • Bum Il Hong

Abstract

Pro‐environmental consumption is necessary for sustainable development, but the sales of eco‐friendly products have been limited. In this regard, the present study analyses the failure factors of eco‐friendly product consumption activation from the consumer's perspective, specifically focusing on detergent‐free washing machines, which are representative innovative products of eco‐friendly home appliances. This study analyses: (1) the attitude‐behaviour gap that occurs in the consumer decision‐making process, and (2) the consumer preference with respect to the core attributes. A recursive model considering the decision‐making stage was constructed and a mixed logit model was utilized to analyse the preference for the core attributes. As a result, the product compatibility and transfer of expert information must be secured to reduce the attitude‐behaviour gap. Additionally, washing power is an important attribute for improving product saleability. The analysis framework of this study can be used to establish sustainable policies for activating eco‐friendly products.

Suggested Citation

  • Jungwoo Shin & Suna Kang & Donghyun Lee & Bum Il Hong, 2018. "Analysing the failure factors of eco‐friendly home appliances based on a user‐centered approach," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1399-1408, December.
    • Handle: RePEc:bla:bstrat:v:27:y:2018:i:8:p:1399-1408
    DOI: 10.1002/bse.2189
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    Cited by:

    1. Dimitris Georgantzis Garcia & Eva Kipnis & Efi Vasileiou & Adrian Solomon, 2021. "Consumption in the Circular Economy: Learning from Our Mistakes," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    2. Shin, Jungwoo & Hwang, Won-Sik & Choi, Hyundo, 2019. "Can hydrogen fuel vehicles be a sustainable alternative on vehicle market?: Comparison of electric and hydrogen fuel cell vehicles," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 239-248.

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