“Consumers’ behavior towards electronic wastes from a sustainable development point of view: An exploration of differences between developed and developing countries”
Tài liệu tham khảo
Agarwal, 2011
Alavi, 2015, Waste electrical and electronic equipment (WEEE) estimation: a case study of Ahvaz City, Iran, J. Air Waste Manag. Assoc., 65, 298, 10.1080/10962247.2014.976297
Amirmokhtar Radi, 2021, Toward consumer perception of cellphones sustainability: a social media analytics, Sustain. Prod. Consum., 25, 217, 10.1016/j.spc.2020.08.012
Anandh, 2021, Reuse assessment of WEEE: systematic review of emerging themes and research directions, J. Environ. Manag., 287, 10.1016/j.jenvman.2021.112335
Ananno, 2021, Survey and analysis of consumers’ behaviour for electronic waste management in Bangladesh, J. Environ. Manag., 282, 10.1016/j.jenvman.2021.111943
Araújo, 2012, A model for estimation of potential generation of waste electrical and electronic equipment in Brazil, Waste Manag., 32, 335, 10.1016/j.wasman.2011.09.020
Arof, 2015, 11
Bagheri, H. and M. Johirul Islam Sentiment analysis of twitter data. arXiv e-prints, 2017.
Bakhiyi, 2018, Has the question of e-waste opened a Pandora's box? An overview of unpredictable issues and challenges, Environ. Int., 110, 173, 10.1016/j.envint.2017.10.021
Belton, 2019, Improving the practical application of the Delphi method in group-based judgment: a six-step prescription for a well-founded and defensible process, Technol. Forecast. Soc. Change, 147, 72, 10.1016/j.techfore.2019.07.002
Bom, 2017, Public perceptions and practices of solid waste recycling in the city of laramie in Wyoming, U.S.A. Recycl., 2, 11, 10.3390/recycling2030011
Bressanelli, 2020, Circular economy in the WEEE industry: a systematic literature review and a research agenda, Sustain. Prod. Consum., 23, 174, 10.1016/j.spc.2020.05.007
Bulearca, 2010, Twitter: a viable marketing tool for SMEs?, Glob. Bus. Manag. Res., 2, 296
Chae, 2015, Insights from hashtag #supplychain and Twitter analytics: considering twitter and twitter data for supply chain practice and research, Int. J. Prod. Econ., 165, 247, 10.1016/j.ijpe.2014.12.037
Cheng, 2014, BTM: topic modeling over short texts, IEEE Trans. Knowl. Data Eng., 26, p. 1-1, 10.1109/TKDE.2014.2313872
Chung, 2011, Generation of and control measures for, e-waste in Hong Kong, Waste Manag., 544, 10.1016/j.wasman.2010.10.003
Clement, J. Twitter: number of worldwide users 2014-2020. 2019 [cited 2019; Available from: https://www.statista.com/statistics/303681/twitter-users-worldwide/.
COLLINS, 2006, Household participation in waste recycling: some national survey evidence from Scotland, J. Environ. Plan. Manag., 49, 121, 10.1080/09640560500373253
de Jesus, 2019, Eco-innovation pathways to a circular economy: envisioning priorities through a Delphi approach, J. Clean. Prod., 228, 1494, 10.1016/j.jclepro.2019.04.049
Enli, 2017, Twitter as arena for the authentic outsider: exploring the social media campaigns of Trump and clinton in the 2016 US presidential election, Eur. J. Commun., 32, 50, 10.1177/0267323116682802
Folz, 1991, Public participation and recycling performance: explaining program success, Public Adm. Rev., 51, 526, 10.2307/976603
Folz, 1991, Recycling program design, management, and participation: a national survey of municipal experience, Public Adm. Rev., 51, 222, 10.2307/976946
Forti, V., et al., The global e-waste monitor 2020. United Nations University and the international telecommunication union, 2020: p. 120.
GARCÉS, 2002, Urban waste recycling behavior: antecedents of participation in a selective collection program, Environ. Manag., 30, 378, 10.1007/s00267-002-2601-2
Gnatzy, 2011, Validating an innovative real-time Delphi approach - a methodological comparison between real-time and conventional Delphi studies, Technol. Forecast. Soc. Change, 78, 1681, 10.1016/j.techfore.2011.04.006
Golbeck, J., et al., Predicting personality from Twitter. 2011. 149-156.
InternetLiveStats. Twitter usage statistics. 2020 [cited 2020 08/13/2020]; Twitter usage statistics]. available from: https://www.internetlivestats.com/twitter-statistics/.
Islam, 2020, Reshaping WEEE management in Australia: an investigation on the untapped WEEE products, J. Clean. Prod., 250, 10.1016/j.jclepro.2019.119496
Islam, 2020, Waste mobile phones: a survey and analysis of the awareness, consumption and disposal behavior of consumers in Australia, J. Environ. Manag., 275, 10.1016/j.jenvman.2020.111111
Katzev, 1993, Determinants of participation in multi-family recycling programs, J. Appl. Soc. Psychol., 23, 374, 10.1111/j.1559-1816.1993.tb01093.x
Keramitsoglou, 2013, Public participation in designing a recycling scheme towards maximum public acceptance, 70, 55
Khattar, 2007
Knickmeyer, 2019, Social factors influencing household waste separation: a literature review on good practices to improve the recycling performance of urban areas, J. Clean. Prod.
Kumar, 2013, 90
Lau, 2013, A material flow analysis on current electrical and electronic waste disposal from Hong Kong households, Waste Manag, 33, 714, 10.1016/j.wasman.2012.09.007
Le, 2017, Psychological driving forces behind households’ behaviors toward municipal organic waste separation at source in Vietnam: a structural equation modeling approach, J. Mater. Cycl. Waste Manag.
Li, L., et al., Customer demand analysis of the electronic commerce supply chain using big data. Vol. 268. 2016.
Li, 2017, Enhancing topic modeling for short texts with auxiliary word embeddings, ACM Trans. Inf. Syst., 36, 1, 10.1145/3091108
Malhotra, 2012, How to get your messages retweeted, MIT Sloan Manag. Rev., 53, 61
Manomaivibool, 2012, Buying back household waste electrical and electronic equipment: assessing Thailand's proposed policy in light of past disposal behavior and future preferences, Resour. Conserv. Recycl., 68, 117, 10.1016/j.resconrec.2012.08.014
Mansuy, 2020, Understanding preferences for EEE collection services: a choice-based conjoint analysis, Resour. Conserv. Recycl., 161, 10.1016/j.resconrec.2020.104899
Mathioudakis, 2010, Twitter monitor: trend detection over the twitter stream, 1155
McDonald, 1998, Public participation in plastics recycling schemes, Resour. Conserv. Recycl., 22, 123, 10.1016/S0921-3449(97)00044-X
McQuaid, 1996, Recycling policy in areas of low income and multi-storey housing, J. Environ. Plan. Manag., 39, 547, 10.1080/09640569612372
Mebratu, 1998, Sustainability and sustainable development: Historical and conceptual review, Environ. Impact Assess. Rev., 18, 493, 10.1016/S0195-9255(98)00019-5
Melander, 2019, Future goods transport in Sweden 2050: using a Delphi-based scenario analysis, Technol. Forecast. Soc. Change, 138, 178, 10.1016/j.techfore.2018.08.019
Menad, 2013, New characterisation method of electrical and electronic equipment wastes (WEEE), Waste Manag, 33, 706, 10.1016/j.wasman.2012.04.007
Miafodzyeva, S. and N. Brandt, Recycling behavior among householders: synthesizing determinants via a meta-analysis. waste and biomass valorization, 2012. 4.
Mishra, 2018, Use of twitter data for waste minimisation in beef supply chain, Ann. Op. Res., 270, 337, 10.1007/s10479-016-2303-4
Mmereki, 2012, Estimation of waste electronic and electrical equipment arising in Botswana-a case study of Gaborone City, Int. J. Environ. Sci., 3, 441
Nikou, 2013, Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP), Telecommun. Policy, 37, 915, 10.1016/j.telpol.2012.09.007
Nowakowski, 2019, Investigating the reasons for storage of WEEE by residents - a potential for removal from households, Waste Manag., 87, 192, 10.1016/j.wasman.2019.02.008
Ohnmacht, 2018, How to postpone purchases of a new mobile phone? Pointers for interventions based on socio-psychological factors and a phase model of behavioural change, J. Clean. Prod., 200, 809, 10.1016/j.jclepro.2018.07.292
Ongondo, 2011, How are WEEE doing? A global review of the management of electrical and electronic wastes, Waste Manag., 714, 10.1016/j.wasman.2010.10.023
Pérez-Belis, 2015, Consumer behaviour and environmental education in the field of wasteelectrical and electronic toys: a Spanish case study, Waste Manag., 36, 277, 10.1016/j.wasman.2014.10.022
Phelan, 2009, Using twitter to recommend real-time topical news, 385
Purvis, 2019, Three pillars of sustainability: in search of conceptual origins, Sustain. Sci., 14, 681, 10.1007/s11625-018-0627-5
Qiang, J., et al., Short text topic modeling techniques, applications, and performance: a survey. 2019.
Quercia, 2011, Our Twitter profiles, our selves: predicting personality with Twitter
Rashid, 2019, Fuzzy topic modeling approach for text mining over short text, Inf. Proc. Manag., 56, 10.1016/j.ipm.2019.102060
Robinson, 2009, E-waste: an assessment of global production and environmental impacts, Sci. Total Environ., 183, 10.1016/j.scitotenv.2009.09.044
Rompf, S., System trust and cooperation: the case of recycling behavior. 2014.
Rosa, 2019, Circular business models versus circular benefits: an assessment in the waste from electrical and electronic equipments sector, J. Clean. Prod., 231, 940, 10.1016/j.jclepro.2019.05.310
Saaty, 1980
Sabbaghi, 2016, Managing consumer behavior toward on-time return of the waste electrical and electronic equipment: a game theoretic approach, Int. J. Prod. Econ., 182, 545, 10.1016/j.ijpe.2016.10.009
Sahayak, 2015, Sentiment analysis on Twitter data, Int. J. Innov. Res. Adv. Eng., 2
Shokouhyar, 2021, Revealing the reality behind consumers’ participation in WEEE treatment schemes: a mixed method approach, J. Environ. Plan. Manag., 10.1080/09640568.2021.1972284
Shahrasbi, 2017, An aggregated fuzzy model for the selection of a managed security service provider, Int. J. Inf. Technol. Decis. Mak., 16, 625, 10.1142/S0219622017500158
Shevchenko, 2019, Understanding consumer E-waste recycling behavior: introducing a new economic incentive to increase the collection rates, Sustainability, 11, 2656, 10.3390/su11092656
Shoukohyar, 2020, Uncovering the dark and bright sides of implementing collaborative forecasting throughout sustainable supply chains: an exploratory approach, Technol. Forecast. Soc. Change, 158, 10.1016/j.techfore.2020.120059
Singh, 2018, Social media data analytics to improve supply chain management in food industries, Transp. Res. Part E Logist. Trans. Rev., 114, 398, 10.1016/j.tre.2017.05.008
Taboada, 2011, Lexicon-based methods for sentiment analysis, Comput. Linguist., 37, 267, 10.1162/COLI_a_00049
Tansel, 2016, From electronic consumer products to e-wastes: Global outlook, waste quantities, recycling challenges, Environ. Int., 98, 35, 10.1016/j.envint.2016.10.002
Tansel, 2016, From electronic consumer products to e-wastes: Global outlook, waste quantities, recycling challenges, Environ. Int., 98
Walsh, 2011, Creating a ‘‘values’’ chain for sustainable development in developing nations: where Maslow meets Porter, Environ. Dev. Sustain., 13, 789, 10.1007/s10668-011-9291-y
Wang, 2012, A system for real-time Twitter sentiment analysis of 2012 U.S. presidential election cycle, 115
Wang, 2019, Impact of government subsidies on pricing strategies in reverse supply chains of waste electrical and electronic equipment, Waste Manag., 95, 440, 10.1016/j.wasman.2019.06.006
Wang, 2020, Energy consumption and profit-oriented disassembly line balancing for waste electrical and electronic equipment, J. Clean. Prod., 265, 10.1016/j.jclepro.2020.121829
Woodard, 2006, Participation in curbside recycling schemes and its variation with material types, Waste Manag., 26, 914, 10.1016/j.wasman.2005.08.009
Ylä-Mella, 2014, Implementation of waste electrical and electronic equipment directive in finland: evaluation of the collection network and challenges of the effective WEEE management, Resour. Conserv. Recycl., 86, 38, 10.1016/j.resconrec.2014.02.001
Ylä-Mella, 2015, Electronic waste recovery in Finland: Consumers’ perceptions towards recycling and re-use of mobile phones, Waste Manag., 45, 374, 10.1016/j.wasman.2015.02.031
Zuo, 2016, Word network topic model: a simple but general solution for short and imbalanced texts, Knowl. Inf. Syst., 48, 379, 10.1007/s10115-015-0882-z