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2024 | OriginalPaper | Chapter

Using Social Media Analytics for Extracting Fashion Trends of Preowned Fashion Clothes

Authors : Noushin Mohammadian, Nusrat Jahan Raka, Meriel Wanyonyi, Yilmaz Uygun, Omid Fatahi Valilai

Published in: Advances in Intelligent Manufacturing and Service System Informatics

Publisher: Springer Nature Singapore

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Abstract

The chapter discusses the environmental impact of fast fashion and the potential of preowned clothing to mitigate these issues. It introduces the concept of using social media analytics to predict trends in preowned fashion items, focusing on sentiment analysis from platforms like Instagram and Pinterest. The study aims to shift consumer behavior towards sustainable fashion by leveraging the power of social media data. The proposed model demonstrates how sentiment analysis can influence consumer demand and reduce carbon emissions, offering a novel approach to promoting sustainable fashion trends.

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Xie, X., Hong, Y., Zeng, X., Dai, X., Wagner, M.: A systematic literature review for the recycling and reuse of wasted clothing. Sustainability 13, 13732 (2021)CrossRef

Peter Maddox. Why we should be focusing on clothing as well as plastics. https://wrap.org.uk/blog/2018/11/why-we-should-be-focusing-clothing-well-plastics. Accessed 20 Dec 2022

Peter Maddox. How to make the clothing sector fit for a net zero world? https://wrap.org.uk/blog/2020/01/how-make-clothing-sector-fit-net-zero-world. Accessed 19 Dec 2022

Zamani, B., Sandin, G., Peters, G.M.: Life cycle assessment of clothing libraries: can collaborative consumption reduce the environmental impact of fast fashion? J. Clean. Prod. 162, 1368–1375 (2017)CrossRef

Sandin, G., Peters, G.M.: Environmental impact of textile reuse and recycling – A review. J. Clean. Prod. 184, 353–365 (2018)CrossRef

Amatulli, C., Mileti, A., Speciale, V. Guido, G.: The Relationship between Fast Fashion and Luxury Brands: An Explanatory Study in the UK Market. In: Advertising and Branding: Concepts, Methodologies, Tools, and Applications, pp. 224–265 (2016). https://doi.org/10.4018/978-1-5225-1793-1.ch041

Olad, A.A., FatahiValilai, O.: Using of social media data analytics for applying digital twins in product development. In: 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 319–323 (2020). https://doi.org/10.1109/IEEM45057.2020.9309834

Stringer, T., Mortimer, G., Payne, A.R.: Do ethical concerns and personal values influence the purchase intention of fast-fashion clothing? JFMM 24, 99–120 (2020)CrossRef

McNeill, L., Moore, R.: Sustainable fashion consumption and the fast fashion conundrum: fashionable consumers and attitudes to sustainability in clothing choice: sustainable fashion consumption and the fast fashion conundrum. Int. J. Consum. Stud. 39, 212–222 (2015)CrossRef

10.

Mohammadian, N., Mechai, N., Fatahi Valilai, O.: Social media product data integration with product lifecycle management; insights for application of artificial intelligence and machine learning. In: 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1469–1473 (2022). https://doi.org/10.1109/IEEM55944.2022.9989781

11.

Björk, J., Magnusson, M.: Where do good innovation ideas come from? Exploring the Influence of network connectivity on innovation idea quality. J. of Prod. Innov. Manage. 26, 662–670 (2009)CrossRef

12.

Adebanjo, D., Michaelides, R.: Analysis of Web 2.0 enabled e-clusters: A case study. Technovation 30, 238–248 (2010)

13.

Tuyishime, A.-M., Fatahi Valilai, O.: Sustainable last mile delivery network using social media data analytics, pp. 840–874 (2022). https://doi.org/10.15480/882.4696

14.

Fuchs, C.: From digital positivism and administrative big data analytics towards critical digital and social media research! Eur. J. Commun. 32, 37–49 (2017)CrossRef

15.

Yuan, Y., Lam, W.: Sentiment analysis of fashion related posts in social media. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Min-ing, pp. 1310–1318. ACM (2022). https://doi.org/10.1145/3488560.3498423

16.

Niinimäki, K., et al.: The environmental price of fast fashion. Nat. Rev. Earth Environ. 1, 189–200 (2020)CrossRef

17.

Michele, C.H.: Used Clothing vs. Fast Fashion: Why Vintage is Always Greener

18.

Farrant, L., Olsen, S.I., Wangel, A.: Environmental benefits from reusing clothes. Int. J. Life Cycle Assess. 15, 726–736 (2010)CrossRef

19.

Evans, F., Grimmer, L., Grimmer, M.: Consumer orientations of secondhand fashion shoppers: the role of shopping frequency and store type. J. Retail. Consum. Serv. 67, 102991 (2022)CrossRef

20.

Guiot, D., Roux, D.: A second-hand shoppers’ motivation scale: antecedents, consequences, and implications for retailers. J. Retail. 86, 355–371 (2010)CrossRef

21.

Padmavathy, C., Swapana, M., Paul, J.: Online second-hand shopping motivation – Conceptualization, scale development, and validation. J. Retail. Consum. Serv. 51, 19–32 (2019)CrossRef

22.

Fernando, A.G., Sivakumaran, B., Suganthi, L.: Comparison of perceived acquisition value sought by online second-hand and new goods shoppers. Eur. J. Mark. 52, 1412–1438 (2018)CrossRef

23.

Secondhand clothing is in fashion - and it’s helping the environment. https://www.weforum.org/agenda/2020/12/secondhand-clothing-environment-fashion-style-climate-change-sustainability/. Accessed 26 Dec 2022

24.

Gulnaz, K.: The Secondhand Market Is Growing Rapidly, Can Challengers Like Vinokilo Thrive And Scale?

25.

Mohammad, J., Quoquab, F., Mohamed Sadom, N.Z.: Mindful consumption of second-hand clothing: the role of eWOM, attitude and consumer engagement. J. Fashion Mark. Manage.: Int. J. 25, 482–510 (2021)

26.

Jindal, K., Aron, R.: WITHDRAWN: a systematic study of sentiment analysis for social media data. Mater. Today: Proc. (2021). https://doi.org/10.1016/j.matpr.2021.01.048

27.

Yue, L., Chen, W., Li, X., Zuo, W., Yin, M.: A survey of sentiment analysis in social media. Knowl. Inf. Syst. 60, 617–663 (2019)CrossRef

28.

Bailey, K., Basu, A., Sharma, S.: The environmental impacts of fast fashion on water quality: a systematic review. Water 14, 1073 (2022)CrossRef

29.

Biradar, S.H., Gorabal, J.V., Gupta, G.: Machine learning tool for exploring sentiment analysis on twitter data. Mater. Today: Proc. (2021). https://doi.org/10.1016/j.matpr.2021.11.199

30.

Diddi, S., Yan, R.-N., Bloodhart, B., Bajtelsmit, V., McShane, K.: Exploring young adult consumers’ sustainable clothing consumption intention-behavior gap: a behavioral reasoning theory perspective. Sustainable Prod. Consum. 18, 200–209 (2019)CrossRef

31.

Derwanz, H.: Digitalizing Local Markets: The Secondhand Market for Pre-owned Clothing in Hamburg, Germany, pp. 135–161 (2021). https://doi.org/10.1108/S0190-128120210000041007

32.

Bae, Y., Choi, J., Gantumur, M., Kim, N.: Technology-based strategies for online secondhand platforms promoting sustainable retailing. Sustainability 14, 3259 (2022)CrossRef

33.

Hu, Y., et al.: Generating business intelligence through social media analytics: measuring brand personality with consumer-, employee-, and firm-generated content. J. Manag. Inf. Syst. 36, 893–930 (2019)CrossRef

34.

Shah, P., Gajjar, C.: Secondhand shopping: understanding consumer behavior toward pre-owned clothing in India. WRIPUB (2021). https://doi.org/10.46830/wripn.20.00035

35.

Wankhade, M., Rao, A.C.S., Kulkarni, C.: A survey on sentiment analysis methods, applications, and challenges. Artif. Intell. Rev. 55, 5731–5780 (2022)CrossRef

Title: Using Social Media Analytics for Extracting Fashion Trends of Preowned Fashion Clothes
Authors: Noushin Mohammadian
Nusrat Jahan Raka
Meriel Wanyonyi
Yilmaz Uygun
Omid Fatahi Valilai
Publisher: Springer Nature Singapore
Book: Advances in Intelligent Manufacturing and Service System Informatics
Print ISBN: 978-981-9960-61-3

Electronic ISBN: 978-981-9960-62-0

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-99-6062-0_15

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