Abstract
Consumers’ willingness to trade (CWT), that is, consumers’ willingness to trade waste products with internet recyclers. CWT is the basis for the Internet recyclers to start a transaction for waste products with the consumers who have the waste products. Because, as an agent in waste products recycling, it is very necessary for the Internet recycler to achieve the economies of scale in waste products transaction with consumers, which is the key to obtain economic benefit. Therefore, it is very necessary to improve the willingness of waste product holders—consumers to trade their waste products with the Internet recycler. The willingness of consumers to participate in waste product transaction with the Internet recycler is affected by consumers’ understanding of waste product transaction activities, the evaluation of the Internet recyclers’ service level and the value of waste products.
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References
Bai SZ, Ge L, Zhang XL (2021) Platform or direct channel: government-subsidized recycling strategies for WEEE. Inf Syst E-Bus Manage. https://doi.org/10.1007/s10257-021-00517-4
Chen LQ, Gao M (2021) Optimizing strategies for e-waste supply chains under four operation scenarios. Waste Manage 124:325–338
Cheung CMK, Thadani DR (2012) The impact of electronic word of-mouth communication: a literature analysis and integrative model. Decis Support Syst 54(1):461–470
Esenduran G, Kemahlioglu-Ziya E, Swaminathan JM (2017) Impact of take-back regulation on the remanufacturing industry. Prod Oper Manag 26(5):924–944
Feng LP, Govindan K, Li CF (2017) Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior. Eur J Oper Res 260(2):601–612
Fortuna LM, Diyamandoglu V (2017) Disposal and acquisition trends in second-hand products. J Clean Prod 142:2454–2462
Fu HL, Manogaran G, Wu K, Cao M, Jiang S, Yang AM (2019) Intelligent decision-making of online shopping behavior based on internet of things. Int J Inf Manage 50:515–525
Huang YT, Wang ZJ (2017) Dual-recycling channel decision in a closed-loop supply chain with cost disruptions. 9(11). https://doi.org/10.3390/su9112004
Jin L, Zheng BR, Huang SJ (2021) Pricing and coordination in a reverse supply chain with online and offline recycling channels: a power perspective. J Clean Prod 298. https://doi.org/10.1016/j.jclepro.2021.126786
Kang Y, Chen JH, Wu D (2020) Research on pricing and service level strategies of dual channel reverse supply chain considering consumer preference in multi-regional situations. Int J Environ Res Public Health 17(23). https://doi.org/10.3390/ijerph17239143
Khan SAR, Tabish M, Yu Z (2023a) Mapping and visualizing of research output on waste management and green technology: a bibliometric review of literature. Waste Manage Res 41(7):1203–1218. https://doi.org/10.1177/0734242X221149329
Khan SAR, Zia-Ul-Haq HM, Ponce P, Janjua L (2023b) Re-investigating the impact of non-renewable and renewable energy on environmental quality: a roadmap towards sustainable development. Resour Policy 81:103411. https://doi.org/10.1016/j.resourpol.2023.103411
Khan SAR, Yu Z, Ridwan IL, Irshad AUR, Ponce P, Tanveer M (2023c) Energy efficiency, carbon neutrality and technological innovation: a strategic move towards green economy. Econ Res Ekonomska Istraživanja 36(2). https://doi.org/10.1080/1331677X.2022.2140306
Li Z, Guo Q, Nie J (2019) Research on recycling and resale strategies of the recycler: online recycling VS traditional recycling. Indus Eng Manage 24(6):164–172
Liu DW (2014) Network site optimization of reverse logistics for E-commerce based on genetic algorithm. Neural Comput Appl 25(1):67–71
Mashhadi AR, Esmaeilian B, Behdad S (2016) Simulation modeling of consumers’ participation in product take-back systems. J Mech Des 138(5). https://doi.org/10.1115/1.4032773
Miao SD, Liu D, Ma JF, Tian F (2020) System dynamics modelling of mixed recycling mode based on contract: a case study of online and offline recycling of E-waste in China. Mathe Comp Model Dyn Syst 26(3):234–252
Pangburn MS, Stavrulaki E (2014) Take back costs and product durability. Eur J Oper Res 238(1):175–184
Peng WJ, Su D (2014) Development of an online system for recycling consumer electronic products using the internet, NFC and RFID technologies. Key Eng Mater 572:90–99
Racherla P, Friske W (2012) Perceived ‘usefulness’ of online consumer reviews: an exploratory investigation across three services categories. Electron Commer Res Appl 11(6):548–559
Ramzan S, Liu CG, Xu Y, Munir H, Gupta B (2020) The adoption of online e-waste collection platform to improve environmental sustainability: an empirical study of Chinese millennials. Manag Environ Qual 32(2):193–209
Sarigollu E, Hou CX, Ertz M (2020) Sustainable product disposal: consumer redistributing behaviors versus hoarding and throwing away. Bus Strategy Environ 30(1):340–356
Wan C, Shen GQ, Choi S (2021) The place-based approach to recycling intention: integrating place attachment into the extended theory of planned behavior. Resour Conserv Recycl 169. https://doi.org/10.1016/j.resconrec.2021.105549
Wang YC, Herrando C (2019) Does privacy assurance on social commerce sites matter to millennials? Int J Inf Manage 44:64–177
Wang C, Zhang XY, Sun Q (2021) The influence of economic incentives on residents’ intention to participate in online recycling: an experimental study from China. Resour Conserv Recycl 169. https://doi.org/10.1016/j.resconrec.2021.105497
Wu D, Chen JH, Yan RY, Zhang RJ (2019) Pricing strategies in dual-channel reverse supply chains considering fairness concern. Int J Environ Res Public Health 16(9). https://doi.org/10.3390/ijerph16091657
Wu D, Chen JH, Li P, Zhang RJ (2020) Contract coordination of dual channel reverse supply chain considering service level. J Clean Prod 260. https://doi.org/10.1016/j.jclepro.2020.121071
Xiao W, Yang JH, Fang HY, Zhuang JT, Ku YD (2019) Development of online classification system for construction waste based on industrial camera and hyperspectral camera. PLOS ONE 14(1). https://doi.org/10.1371/journal.pone.0208706
Zhang KZK, Zhao SJ, Cheung CMK, Lee MKO (2014) Examining the influence of online reviews on consumers’ decision-making: a heuristic-systematic model. Decis Support Syst 67:78–89
Zuo LS, Wang C, Sun Q (2019) Sustaining WEEE collection business in China: the case of online to offline (O2O) development strategies. Waste Manage 101:222–230
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Khan, S.A.R., Sajid, M.J., Zhang, Y. (2023). Consumers’ Willingness to Participate in Internet Trading of Waste Products. In: Emerging Green Theories to Achieve Sustainable Development Goals. Industrial Ecology. Springer, Singapore. https://doi.org/10.1007/978-981-99-6384-3_1
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