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Data analysis of resident engagement and sentiments in social media enables better household waste segregation and recycling

Jiang, Peng, Zhou, Jieyu, Fan, Yee Van, Klemeš, Jiří Jaromír, Zheng, Meimei, Varbanov, Petar Sabev·2021·Journal of Cleaner Production
DOI 10.1016/j.jclepro.2021.128809
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Research works printed but not linked: 57

  1. Alinejad, 2019, Careful co-presence: the transnational mediation of emotional intimacy, Social Media and Society, 5
  2. Arantes, 2020, Coping with waste: a government-NGO collaborative governance approach in Shanghai, J. Environ. Manag., 259, 10.1016/j.jenvman.2019.109653 · DOI · Paper page
  3. Battista, 2021, Can bioplastics be treated in conventional anaerobic digesters for food waste treatment?, Environmental Technology & Innovation, 22, 10.1016/j.eti.2021.101393 · DOI
  4. Dantan, 2021, Tolerance allocation under behavioural simulation uncertainty of a multiphysical system, CIRP Annals, 10.1016/j.cirp.2021.04.054 · DOI
  5. Ding, 2017, The power of the "like" button: the impact of social media on box office, Decis. Support Syst., 94, 77, 10.1016/j.dss.2016.11.002 · DOI
  6. Donchenko, 2017, Analysis of comments of users of social networks to assess the level of social tension, Procedia Computer Science, 119, 359, 10.1016/j.procs.2017.11.195 · DOI
  7. Dunham, 2021, Measuring the effect of investor sentiment on liquidity, Manag. Finance, 47, 59
  8. Eriksen, 2018, Contamination in plastic recycling: influence of metals on the quality of reprocessed plastic, Waste Manag., 79, 595, 10.1016/j.wasman.2018.08.007 · DOI · Paper page
  9. Fan, 2021, An update of COVID-19 influence on waste management, Sci. Total Environ., 754, 10.1016/j.scitotenv.2020.142014 · DOI
  10. Fan, 2021, Integrated regional waste management to minimise the environmental footprints in circular economy transition, Resour. Conserv. Recycl., 168, 10.1016/j.resconrec.2020.105292 · DOI
  11. Fan, 2018, Anaerobic digestion of municipal solid waste: energy and carbon emission footprint, J. Environ. Manag., 223, 888, 10.1016/j.jenvman.2018.07.005 · DOI
  12. Frempong, 2020, The relationship among customer operant resources, online value co-creation and electronic-word-of-mouth in solid waste management marketing, J. Clean. Prod., 248, 10.1016/j.jclepro.2019.119228 · DOI
  13. Frigge, 1989, Some implementations of the boxplot, Am. Statistician, 43, 50, 10.1080/00031305.1989.10475612 · DOI
  14. Gaenssle, 2021, Stars in social media: new light through old windows?, Journal of Media Business Studies, 18, 79, 10.1080/16522354.2020.1738694 · DOI
  15. Golder, 2013, Social media as a research environment, Cyberpsychol., Behav. Soc. Netw., 16, 627, 10.1089/cyber.2013.1525 · DOI
  16. He, 2019, Identifying customer knowledge on social media through data analytics, J. Enterprise Inf. Manag., 32, 152, 10.1108/JEIM-02-2018-0031 · DOI
  17. Hou, 2020, Should waste separation Be mandatory? A study on public's response to the policies in China, Int. J. Environ. Res. Publ. Health, 17, 4539, 10.3390/ijerph17124539 · DOI
  18. Hu, 2017, Click "like" on Facebook: the effect of customer-to-customer interaction on customer voluntary performance for social networking sites, Int. J. Hum. Comput. Interact., 33, 135, 10.1080/10447318.2016.1221203 · DOI
  19. Humprecht, 2020, Hostile emotions in news comments: a cross-national analysis of Facebook discussions, Social Media and Society, 6
  20. Jiang, 2020, Data-driven analytical framework for waste-dumping behaviour analysis to facilitate policy regulations, Waste Manag., 103, 285, 10.1016/j.wasman.2019.12.041 · DOI
  21. Jiang, 2021, Data analytics of social media publicity to enhance household waste management, Resour. Conserv. Recycl., 164, 10.1016/j.resconrec.2020.105146 · DOI · Paper page
  22. Jiang, 2021, Energy, environmental, economic and social equity (4E) pressures of COVID-19 vaccination mismanagement: a global perspective, Energy, 235, 10.1016/j.energy.2021.121315 · DOI
  23. Kelman, 2002, Research use of linked health data—a best practice protocol, Aust. N. Z. J. Publ. Health, 26, 251, 10.1111/j.1467-842X.2002.tb00682.x · DOI
  24. Kern, 2016, Gaining insights from social media language: methodologies and challenges, Psychol. Methods, 21, 507, 10.1037/met0000091 · DOI · Paper page
  25. Klemeš, 2020, Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19, Renew. Sustain. Energy Rev., 127, 10.1016/j.rser.2020.109883 · DOI
  26. Knickmeyer, 2020, Social factors influencing household waste separation: a literature review on good practices to improve the recycling performance of urban areas, J. Clean. Prod., 245, 10.1016/j.jclepro.2019.118605 · DOI · Paper page
  27. Ksiazek, 2016, User engagement with online news: conceptualising interactivity and exploring the relationship between online news videos and user comments, New Media Soc., 18, 502, 10.1177/1461444814545073 · DOI
  28. Kurniawan, 2021, Reforming MSWM in Sukunan (Yogjakarta, Indonesia): a case-study of applying a zero-waste approach based on circular economy paradigm, J. Clean. Prod., 284, 10.1016/j.jclepro.2020.124775 · DOI
  29. Kurniawan, 2021, A societal transition of MSW management in Xiamen (China) toward a circular economy through integrated waste recycling and technological digitisation, Environ. Pollut., 277, 10.1016/j.envpol.2021.116741 · DOI
  30. Lee, 2020, The role of psychological proximity and social ties influence in promoting a social media recycling campaign, Environmental Communication, 14, 431, 10.1080/17524032.2019.1677737 · DOI
  31. Mallick, 2019, Impact of social media on environmental awareness, Environmental awareness and the role of social media, IGI Global, 140
  32. Manomaivibool, 2016, Measuring the impacts of a save food campaign to reduce food waste on Campus in Thailand, Applied Environmental Research, 38, 13, 10.35762/AER.2016.38.2.2 · DOI · Paper page
  33. Mehta, 2020, A review on sentiment analysis methodologies, practices and applications, International Journal of Scientific and Technology Research, 9, 601
  34. Meng, 2019, Investigation on decision-making mechanism of residents' household solid waste classification and recycling behaviors, Resour. Conserv. Recycl., 140, 224, 10.1016/j.resconrec.2018.09.021 · DOI
  35. Petridis, 2016, Estimation of computer waste quantities using forecasting techniques, J. Clean. Prod., 112, 3072, 10.1016/j.jclepro.2015.09.119 · DOI
  36. Reddick, 2017, A social media text analytics framework for double-loop learning for citizen-centric public services: a case study of a local government Facebook use, Govern. Inf. Q., 34, 110, 10.1016/j.giq.2016.11.001 · DOI
  37. Rehman, 2020, Effective utilisation of municipal solid waste as substitute for natural resources in cement industry, Civil Engineering Journal, 6, 238, 10.28991/cej-2020-03091467 · DOI
  38. Reike, 2018, The circular economy: new or refurbished as CE 3.0?—exploring controversies in the conceptualisation of the circular economy through a focus on history and resource value retention options, Resour. Conserv. Recycl., 135, 246, 10.1016/j.resconrec.2017.08.027 · DOI
  39. Salmenperä, 2021, Critical factors for enhancing the circular economy in waste management, J. Clean. Prod., 280, 124339, 10.1016/j.jclepro.2020.124339 · DOI
  40. Sewak, 2021, Influencing household-level waste-sorting and composting behaviour: what works? A systematic review (1995–2020) of waste management interventions, Waste Manag. Res., 10.1177/0734242X20985608 · DOI
  41. Schivinski, 2020, Social media brand engagement in the context of collaborative consumption: the case of AIRBNB, J. Brand Manag., 27, 645, 10.1057/s41262-020-00207-5 · DOI
  42. Sujata, 2019, The role of social media on recycling behaviour, Sustainable Production and Consumption, 20, 365, 10.1016/j.spc.2019.08.005 · DOI
  43. Sun, 2020, Residents' sentiments towards electricity price policy: evidence from text mining in social media, Resour. Conserv. Recycl., 160, 104903, 10.1016/j.resconrec.2020.104903 · DOI
  44. Van Zoonen, 2016, Privacy concerns in smart cities, Govern. Inf. Q., 33, 472, 10.1016/j.giq.2016.06.004 · DOI
  45. Vladimirou, 2021, Aggressive complaining on social media: the case of #MuckyMerton, J. Pragmat., 177, 51, 10.1016/j.pragma.2021.01.017 · DOI
  46. Wahid, 2020, Social media marketing on Instagram: when is the most effective posting timing, EPRA International Journal of Multidisciplinary Research, 6, 312
  47. Wang, 2020, Engagement factors for waste sorting in China: the mediating effect of satisfaction, J. Clean. Prod., 267, 10.1016/j.jclepro.2020.122046 · DOI
  48. Wang, 2018, How does information publicity influence residents' behaviour intentions around e-waste recycling?, Resour. Conserv. Recycl., 133, 1, 10.1016/j.resconrec.2018.01.014 · DOI · Paper page
  49. Woon, 2021, A novel food waste management framework combining optical sorting system and anaerobic digestion: a case study in Malaysia, Energy, 232, 121094, 10.1016/j.energy.2021.121094 · DOI
  50. Wu, 2021, Attitude of Chinese public towards municipal solid waste sorting policy: a text mining study, Sci. Total Environ., 756, 142674, 10.1016/j.scitotenv.2020.142674 · DOI
  51. Xiao, 2020, An overview of the municipal solid waste management modes and innovations in Shanghai, China, Environ. Sci. Pollut. Control Ser., 27, 29943, 10.1007/s11356-020-09398-5 · DOI · Paper page
  52. Xu, 2015, Applications of mobile social media: WeChat among academic libraries in China, J. Acad. Librarian, 41, 21, 10.1016/j.acalib.2014.10.012 · DOI
  53. Zakianis, 2017, The importance of waste management knowledge to encourage household waste-sorting behaviour in Indonesia, Int. J. Wine Res., 7
  54. Zamri, 2020, Delivery, impact and approach of household food waste reduction campaigns, J. Clean. Prod., 246, 10.1016/j.jclepro.2019.118969 · DOI · Paper page
  55. Zhou, 2021, Designing a smart incentive-based recycling system for household recyclable waste, Waste Manag., 123, 142, 10.1016/j.wasman.2021.01.030 · DOI
  56. Zorpas, 2020, Strategy development in the framework of waste management, Sci. Total Environ., 716, 10.1016/j.scitotenv.2020.137088 · DOI
  57. Zuo, 2020, Sustaining WEEE collection business in China: the case of online to offline (O2O) development strategies, Waste Manag., 101, 222, 10.1016/j.wasman.2019.10.008 · DOI

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Metadata

Authors
Jiang, P., Zhou, J., Fan, Y. V., Klemeš, J. J., Zheng, M., & Varbanov, P. S.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2021-10
Volume
319
Pages
128809
ISSN
0959-6526
DOI
10.1016/j.jclepro.2021.128809
Cited by
38
References
2
Language
en
Licence
Funders
  • National Natural Science Foundation of China (72061127004)
  • Ministerstvo školství mládeže a tělovýchovy (CZ.02.1.01/0.0/0.0/15_003/0000456)
  • Xi'an Eurasia University
  • Fundamental Research Funds for the Central Universities
  • Fundamental Research Funds for Central Universities of the Central South University (YJ202138)
  • National Research Foundation Singapore

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