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Motivation and challenges for e-commerce in e-waste recycling under “Big data” context: A perspective from household willingness in China

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  • Zhang, Bin
  • Du, Zhanjie
  • Wang, Bo
  • Wang, Zhaohua

Abstract

With the emerging technology and consumption modes under “Big data” context, e-commerce has arisen as a new trend for e-waste recycling. This paper conducted a questionnaire survey from 896 residents living in the cities of China, to explore the development of e-commerce in e-waste recycling. An ordered logit regression model was employed to reveal the key drivers and barriers for residents to choose e-commerce for their e-waste recycling. The results show that e-commerce in e-waste recycling does not receive a universal acceptance from residents. The perceived convenience, attitude and subjective norm are positively related to the residential intensions towards employing e-commerce for e-waste recycling. The price disadvantage of e-waste collection by e-commerce is the major barrier for taking e-commerce for e-waste recycling. However, the relationship between e-commerce recycling willingness and perceived price disadvantage is moderated by e-waste disposal subsidy. Facility accessibility also plays a moderate role in the relationship between e-commerce recycling willingness and perceived convenience.

Suggested Citation

  • Zhang, Bin & Du, Zhanjie & Wang, Bo & Wang, Zhaohua, 2019. "Motivation and challenges for e-commerce in e-waste recycling under “Big data” context: A perspective from household willingness in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 436-444.
    • Handle: RePEc:eee:tefoso:v:144:y:2019:i:c:p:436-444
    DOI: 10.1016/j.techfore.2018.03.001
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    2. Rabassa, Valérie & Sabri, Ouidade & Spaletta, Claire, 2022. "Conversational commerce: Do biased choices offered by voice assistants’ technology constrain its appropriation?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Pourhejazy, Pourya & Zhang, Dali & Zhu, Qinghua & Wei, Fangfang & Song, Shuang, 2021. "Integrated E-waste transportation using capacitated general routing problem with time-window," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    4. Chang Wang & Tingting Zhu & Hailin Yao & Qiao Sun, 2020. "The Impact of Green Information on the Participation Intention of Consumers in Online Recycling: An Experimental Study," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    5. Lyu, Tu & Chen, Hao & Guo, Yulin, 2023. "Investigating innovation diffusion, social influence, and personal inner forces to understand people's participation in online e-waste recycling," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Wenchun Ran & Ling Zhang, 2023. "Bridging the intention-behavior gap in mobile phone recycling in China: the effect of consumers’ price sensitivity and proactive personality," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 938-959, January.
    7. Chen, Haitao & Zhang, Bin & Wang, Zhaohua, 2022. "Hidden inequality in household electricity consumption: Measurement and determinants based on large-scale smart meter data," China Economic Review, Elsevier, vol. 71(C).
    8. Yingyan Zhao & Yihong Zhou & Wu Deng, 2020. "Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data," Sustainability, MDPI, vol. 12(8), pages 1-13, April.

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