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

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

doi:10.1016/j.techfore.2018.03.001

Cited by 90 publications

(43 citation statements)

References 25 publications

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“…The impact of information publicity, awareness of consequences and ascription of responsibility were tested by Wang et al (2018). In the e-commerce context, Zhang et al (2018) extended the TPB by including perceived convenience, perceived revenue disadvantage, facilities, subsidy and habit.…”

Section: Literature Reviewmentioning

confidence: 99%

E-waste recycling intention paradigm of small and medium electronics store managers in Bangladesh: An S–O–R perspective

et al. 2020

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Each year Bangladesh produces around 400,000 metric tonnes of e-waste. E-waste accumulation is expected to increase by 20% annually. In order to facilitate e-waste recycling, it is crucial to identify the factors. In this study, building on the stimulus-organism-response framework, we develop a research model to explore the effect of information publicity, ascription of responsibility and convenience of recycling on the recycling attitude, subjective norm, personal norm and perceived behaviour control which lead to recycling intention. Data were gathered from 127 small and medium electronics store managers. The structural equation modelling technique was used to test the paths. The result suggests a significant influence of the element of stimulus (S) on the element of organism (O). The relationship between the element of organism (O) and the element of response (R) is partial. This paper contributes to the body of work dedicated to helping us better understand the recycling behaviour from the stimulus-organism-response perspective. From the viewpoint of practice, this research sheds light on some of the challenges that the implementer might face when making strategy and policy for e-waste management in Bangladesh.

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Section: Literature Reviewmentioning

confidence: 99%

E-waste recycling intention paradigm of small and medium electronics store managers in Bangladesh: An S–O–R perspective

et al. 2020

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“…According to the report of International Data Corporation (IDC), the global data volume is doubled annually and the volume will increase to 175 ZB in 2025. China will become the biggest data processor in the world, data volume will increase to 48.6 ZB, accounting for 27.8% of the global data [61,62].…”

Section: Model Of B2c E-commerce Logistics Distribution Under Big Datamentioning

confidence: 99%

Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data

Ying-yan

Zhou

2020

Sustainability

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“…The problem of e-waste requires to be solved effectively and immediately based on the sustainability principles with the aim of achieving the circular economy objectives, as mentioned earlier [23]. Existing literature has been comprehensively reviewed, and numerous experts in the field have been interviewed in order to find out the way e-waste is managed currently across the world [24][25][26][27][28]. In general, the e-waste management can be classified into improper or proper [13].…”

Section: Motivation and Noveltymentioning

confidence: 99%

Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection

et al. 2020

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In the literature of information theory and fuzzy set doctrine, there exist various prominent measures of divergence; each possesses its own merits, demerits, and disciplines of applications. Divergence measure is a tool to compute the discrimination between two objects. Particularly, the idea of divergence measure for fuzzy sets is significant since it has applications in several areas viz., process control, decision making, image segmentation, and pattern recognition. In this paper, some new fuzzy divergence measures, which are generalizations of probabilistic divergence measures are introduced. Next, we review two different generalizations of the following measures. Firstly, directed divergence (Kullback–Leibler or Jeffrey invariant) and secondly, Jensen difference divergence, based on these measures, we develop a class of unified divergence measures for fuzzy sets (FSs). Then, a method based on divergence measure for fuzzy sets (FSs) is proposed to evaluate the multi-criteria decision-making (MCDM) problems under the fuzzy atmosphere. Lastly, an illustrative example of the recycling job selection problem of sustainable planning of the e-waste is presented to demonstrate the reasonableness and usefulness of the developed method.

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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

Cited by 90 publications

References 25 publications

E-waste recycling intention paradigm of small and medium electronics store managers in Bangladesh: An S–O–R perspective

E-waste recycling intention paradigm of small and medium electronics store managers in Bangladesh: An S–O–R perspective

Innovation Mode and Optimization Strategy of B2C E-Commerce Logistics Distribution under Big Data

Unified Fuzzy Divergence Measures with Multi-Criteria Decision Making Problems for Sustainable Planning of an E-Waste Recycling Job Selection

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