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Analysis of the Influence Mechanism of Consumers’ Trading Behavior on Reusable Mobile Phones

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  • Qingbin Yuan

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China
    Institute of Circular Economy, Beijing University of Technology, Beijing 100124, China)

  • Yifan Gu

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China
    Institute of Circular Economy, Beijing University of Technology, Beijing 100124, China)

  • Yufeng Wu

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China
    Institute of Circular Economy, Beijing University of Technology, Beijing 100124, China)

  • Xinnan Zhao

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China
    Institute of Circular Economy, Beijing University of Technology, Beijing 100124, China)

  • Yu Gong

    (College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China)

Abstract

The aim of this study is to investigate the decision-making mechanism of reusable mobile phone trading behaviors by using the extended theory of planned behavior. In this study, based on the survey data of 964 residents in Beijing, China and structural equation modeling method, the main factors that affect consumers’ reusable mobile phone trading behavior and their degree of influence were analyzed, followed by discussion on decision-making mechanisms. The findings show that consumers’ behavioral selection has been significantly related to four intrinsic subjective factors and fifteen external objective factors, and the combined effect of the latter ones is nearly triple of that of the former ones. Moreover, the observed variables of environmental awareness, information leakage sensitivity, trading convenience and consumer trading returns are the four most significant factors. The impact of active trading behavior is not significant. However, this may be because that there were no great trading rewards, lack of trading awareness and regulations. Finally, the study put forward relevant policy recommendations for improving the comprehensive management of recycling reusable mobile phones, and provides a theoretical reference for improving the recycling rate of reusable mobile phones.

Suggested Citation

  • Qingbin Yuan & Yifan Gu & Yufeng Wu & Xinnan Zhao & Yu Gong, 2020. "Analysis of the Influence Mechanism of Consumers’ Trading Behavior on Reusable Mobile Phones," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3921-:d:356519
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    References listed on IDEAS

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    1. Abbott, Andrew & Nandeibam, Shasikanta & O'Shea, Lucy, 2011. "Explaining the variation in household recycling rates across the UK," Ecological Economics, Elsevier, vol. 70(11), pages 2214-2223, September.
    2. Kim, Yu Kyoung & Lee, Hyung Ryong, 2011. "Customer satisfaction using low cost carriers," Tourism Management, Elsevier, vol. 32(2), pages 235-243.
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    Cited by:

    1. Fan Zhang & Jianbo Pang & Yanlong Guo & Yelin Zhu & Han Zhang, 2023. "A Study of Factors Influencing the Use of the DingTalk Online Lecture Platform in the Context of the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    2. Liang Shen & Runjie Fan & Zhaoqing Yu & Yuyan Wang, 2021. "The Service Strategy and Influencing Factors of Online Recycling of Used Mobile Phones," Mathematics, MDPI, vol. 9(21), pages 1-24, October.
    3. Ang Li & Bo Li & Xia Liu & Ying Zhang & Haiyan Zhang & Xuyang Lei & Suxia Hou & Bin Lu, 2022. "Characteristics and Dynamics of University Students’ Awareness of Retired Mobile Phones in China," Sustainability, MDPI, vol. 14(17), pages 1-14, August.

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