Social media user behavior analysis applied to the fashion and apparel industry in the big data era

Acharya, 2018, Big data, knowledge co-creation and decision making in fashion industry, Int. J. Inf. Manag., 42, 90, 10.1016/j.ijinfomgt.2018.06.008 Al-Obeidat, 2019, 262 Al-Saggaf, 2015, Data mining and privacy of social network sites’ users: implications of the data mining problem, Sci. Eng. Ethics, 21, 941, 10.1007/s11948-014-9564-6 Aleti, 2019, Tweeting with the stars: automated text analysis of the effect of celebrity social media communications on consumer word of mouth, J. Interact. Market., 48, 17, 10.1016/j.intmar.2019.03.003 Alharbi, 2019, Twitter sentiment analysis with a deep neural network: an enhanced approach using user behavioral information, Cognit. Syst. Res., 54, 50, 10.1016/j.cogsys.2018.10.001 An, 2020, vol. 7 Ananda, 2017, SME fashion brands and social media marketing: from strategies to actions, Int. J. Web Based Communities, 13, 468, 10.1504/IJWBC.2017.089350 Appio, 2021, Digital transformation and innovation management: a synthesis of existing research and an agenda for future studies, J. Prod. Innovat. Manag., 38, 4, 10.1111/jpim.12562 Ardito, 2018 Arksey, 2005, Scoping studies: towards a methodological framework, Int. J. Soc. Res. Methodol., 8, 19, 10.1080/1364557032000119616 Arora, 2019, Measuring social media influencer index-insights from Facebook, Twitter and Instagram, J. Retailing Consum. Serv., 49, 86, 10.1016/j.jretconser.2019.03.012 Asghar, 2021, Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction, Software Pract. Ex., 51, 571, 10.1002/spe.2853 Banica, 2016, Using big data analytics to improve decision-making in apparel supply chains Baum, 2019, The impact of social media campaigns on the success of new product introductions, J. Retailing Consum. Serv., 50, 289, 10.1016/j.jretconser.2018.07.003 Biswas, 2022, Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images, Knowl. Base Syst., 241, 10.1016/j.knosys.2021.108024 Bojanowski, 2017, Enriching word vectors with subword information, Trans. assoc. comput. linguist., 5, 135, 10.1162/tacl_a_00051 Boldt, 2016, Forecasting Nike's sales using Facebook data Cai, 2010, Collaborative filtering for people to people recommendation in social networks, 476 Campagna, 2016, Social Media Geographic Information: why social is special when it goes spatial, Eur. handbook crowdsourced geograph. inf., 45, 10.5334/bax.d Carmignani, 2016, Lean supply chain model and application in an Italian fashion luxury company Casadei, 2020, Global cities, creative industries and their representation on social media: a micro-data analysis of Twitter data on the fashion industry, Environ. Plann.: Econ. Space, 52, 1195, 10.1177/0308518X20901585 Castelo, 2018, Consumers in a social network: the perception of clothing quality per gender, Revista Brasileira de Gestão de Negócios, 20, 22 Castillo-Abdul, 2021, vol. 9, 10 Cavallaro, 2015, On understanding big data impacts in remotely sensed image classification using support vector machine methods, IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens., 8, 4634, 10.1109/JSTARS.2015.2458855 Chae, 2015, How do customers' SNS participation activities impact on customer equity drivers and customer loyalty? Focus on the SNS services of a global SPA brand, J. Glob. Schola. Market. Sci., 25, 122 Chatterjee, 2017, Auto-explore the web–web crawler, Int. J. Innov. Res. Comput. Commun. Eng., 5 Chen, 2017, When fashion meets big data: discriminative mining of best selling clothing features, 15 Cheung, 2021, Driving COBRAs: the power of social media marketing, Market. Intell. Plann., 39, 361, 10.1108/MIP-11-2019-0583 Ching-Chin, 2010, Designing a decision-support system for new product sales forecasting, Expert Syst. Appl., 37, 1654, 10.1016/j.eswa.2009.06.087 Chong, 2016, Predicting online product sales via online reviews, sentiments, and promotion strategies: a big data architecture and neural network approach, Int. J. Oper. Prod. Manag., 36, 358, 10.1108/IJOPM-03-2015-0151 Coelho, 2016 Colson, E. Algorithms Tour: How Data Science Is Woven into the Fabric of Stitch Fix [Online]. Available: https://algorithms-tour.stitchfix.com/([Accessed]). Cui, 2018, The operational value of social media information, Prod. Oper. Manag., 27, 1749, 10.1111/poms.12707 Danziger, 2017 Dargan, 2020, A survey of deep learning and its applications: a new paradigm to machine learning, Arch. Comput. Methods Eng., 27, 1071, 10.1007/s11831-019-09344-w Dean, 2010, MapReduce: a flexible data processing tool, Commun. ACM, 53, 72, 10.1145/1629175.1629198 Del Vecchio, 2018, Big data for open innovation in SMEs and large corporations: trends, opportunities, and challenges, Creativ. Innovat. Manag., 27, 6, 10.1111/caim.12224 Dhaoui, 2017, Social media sentiment analysis: lexicon versus machine learning, J. Consum. Market., 34, 480, 10.1108/JCM-03-2017-2141 Diffley, 2011, vol. 18 Ding, 2021, Leveraging multiple relations for fashion trend forecasting based on social media, IEEE Trans. Multimed., 24, 2287, 10.1109/TMM.2021.3078907 Ernawati, 2018, Implementation of the Naïve Bayes algorithm with feature selection using genetic algorithm for sentiment review analysis of fashion online companies, 1 Events, 2023 Fortunato, 2017, Leveraging big data for sustaining open innovation: the case of social TV, Inf. Syst. Manag., 34, 238, 10.1080/10580530.2017.1330000 Freund, 1999, 124 Furui, 2021, Analysis on marketing strategy of luxury brand under the context of new media: taking Gucci as an example, J. Econ. Bus. Manag., 9 Ge, 2018, Big data for internet of things: a survey, Future Generat. Comput. Syst., 87, 601, 10.1016/j.future.2018.04.053 Geissinger, 2018, Tracing brand constellations in social media: the case of Fashion Week Stockholm, J. Fash. Mark. Manag.: Int. J., 22, 35 Getman, 2020, Machine learning (ML) for tracking fashion trends: documenting the frequency of the baseball cap on social media and the Runway, Cloth. Text. Res. J., 16 Ghani, 2019, Social media big data analytics: a survey, Comput. Hum. Behav., 101, 417, 10.1016/j.chb.2018.08.039 Giri, 2019, Exploitation of social network data for forecasting garment sales, Int. J. Comput. Intell. Syst., 12, 1423, 10.2991/ijcis.d.191109.001 Girvan, 2002, Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA, 99, 7821, 10.1073/pnas.122653799 Grundy, 2017, Tracing the potential flow of consumer data: a network analysis of prominent health and fitness apps, J. Med. Internet Res., 19, 10.2196/jmir.7347 Grzyb, 2021, Using social media to assess recreation across urban green spaces in times of abrupt change, Ecosyst. Serv., 49, 10.1016/j.ecoser.2021.101297 Guntuku, 2019, 214 2020 HáJEK, 2013 Hamsagayathri, 2020, 1 Hani, 2020, A framework for online social network volatile data analysis: a case for the fast fashion industry, J. Univers. Comput. Sci., 26, 127, 10.3897/jucs.2020.008 Hassani, 2015, Forecasting with big data: a review, Ann. Data Sci., 2, 5, 10.1007/s40745-015-0029-9 Hausmann, 2018, Social media data can be used to understand tourists’ preferences for nature‐based experiences in protected areas, Conserv. Lett., 11, 10.1111/conl.12343 Höchtl, 2016, Big data in the policy cycle: policy decision making in the digital era, J. Organ. Comput. Electron. Commer. Res. Appl., 26, 147, 10.1080/10919392.2015.1125187 Hripcsak, 2013, Next-generation phenotyping of electronic health records, J. Am. Med. Inf. Assoc., 20, 117, 10.1136/amiajnl-2012-001145 Hsiao, 2021, From culture to clothing: discovering the world events behind a century of fashion images, Proc. IEEE/CVF Int. Conf. Comput. Vis., 1066 Huang, 2015, Trends in extreme learning machines: a review, Neural Network., 61, 32, 10.1016/j.neunet.2014.10.001 Hughes, 2018, Mining hard negative samples for SAR-optical image matching using generative adversarial networks, Rem. Sens., 10, 1552, 10.3390/rs10101552 Iftikhar, 2020, Social media big data analytics for demand forecasting: development and case implementation of an innovative framework, J. Global Inf. Manag., 28, 103, 10.4018/JGIM.2020010106 Irfan, 2019, Enabling supply chain agility through process integration and supply flexibility: evidence from the fashion industry, Asia Pac. J. Market. Logist., 32, 519, 10.1108/APJML-03-2019-0122 Jaradat, 2018, Dynamic CNN models for fashion recommendation in Instagram, 1144 Johnstone, 2022, Sustainably sustaining (online) fashion consumption: using influencers to promote sustainable (un) planned behaviour in Europe's millennials, J. Retailing Consum. Serv., 64, 10.1016/j.jretconser.2021.102775 Joshi, 2010, 293 Karasan, 2022, Customer-oriented product design using an integrated neutrosophic AHP & DEMATEL & QFD methodology, Appl. Soft Comput., 118, 10.1016/j.asoc.2022.108445 Kawaf, 2019, Online fashion shopping paradox: the role of customer reviews and facebook marketing, J. Retailing Consum. Serv., 48, 144, 10.1016/j.jretconser.2019.02.017 Khanday, 2022 Kibria, 2018, Big data analytics, machine learning, and artificial intelligence in next-generation wireless networks, IEEE Access, 6, 32328, 10.1109/ACCESS.2018.2837692 Kim, 2014 Kim, 2015, The effectiveness of managing social media on hotel performance, Int. J. Hospit. Manag., 44, 165, 10.1016/j.ijhm.2014.10.014 Kim, 2018, Customer involvement, fashion consciousness, and loyalty for fast-fashion retailers, J. Fash. Mark. Manag.: Int. J., 22, 301 Koh, 2019, A study on perceptions and consumption values of ethical consumption by using social media big data Kontu, 2014, Why all that noise – assessing the strategic value of social media for fashion brands, J. Glob. Fash. Market., 5, 235, 10.1080/20932685.2014.912443 Kottage, 2018, Preference based recommendation system for apparel e-commerce sites, 122 Kramer, 2014, Experimental evidence of massive-scale emotional contagion through social networks, Proc. Natl. Acad. Sci. USA, 111, 8788, 10.1073/pnas.1320040111 Krishnann, 2019 Kundi, 2014, Lexicon-based sentiment analysis in the social web, J. Basic and Appl. Sci. Res., 4, 238 Lambrecht, 2018, Advertising to early trend propagators: evidence from twitter, Market. Sci., 37, 177, 10.1287/mksc.2017.1062 Lee, 2021, A two-phase fashion apparel detection method based on YOLOv4, Appl. Sci., 11, 3782, 10.3390/app11093782 Lee, 2021, Framing sustainable fashion concepts on social media. An analysis of# slowfashionaustralia Instagram posts and post-COVID visions of the future, Sustainability, 13, 9976, 10.3390/su13179976 Lee, 2017, The role of entropy of review text sentiments on online WOM and movie box office sales, Electron. Commer. Res. Appl., 22, 42, 10.1016/j.elerap.2017.03.001 Lee, 2019, Analysis of trade value of used clothing Lee, 2021, Understanding digital transformation in advanced manufacturing and engineering: a bibliometric analysis, topic modeling and research trend discovery, Adv. Eng. Inf., 50, 10.1016/j.aei.2021.101428 Li, 2012, 236 Lin, 2015, Styles in the fashion social network: an analysis on Lookbook, 356 Liu, 2018 Liu, 2013, Scalable sentiment classification for big data analysis using naive bayes classifier, 99 Liu, 2019, User needs mining based on topic analysis of online reviews, Teh. Vjesn., 26, 230 Liu, 2020, Visual listening in: extracting brand image portrayed on social media, Market. Sci., 39, 669, 10.1287/mksc.2020.1226 Lomborg, 2014, Using APIs for data collection on social media, Inf. Soc., 30, 256, 10.1080/01972243.2014.915276 Long, 2015, Learning transferable features with deep adaptation networks, 97 Loureiro, 2018, Fashion brands on retail websites: customer performance expectancy and e-word-of-mouth, J. Retailing Consum. Serv., 41, 131, 10.1016/j.jretconser.2017.12.005 Luo, 2017, vol. 139 Luo, 2019, User behavior prediction in social networks using weighted extreme learning machine with distribution optimization, Future Generat. Comput. Syst., 93, 1023, 10.1016/j.future.2018.04.085 Ma, 2019, Who, where, and what to wear? extracting fashion knowledge from social media, 257 Mayfield, 2007 Michalski, 2013 Mikolov, 2010 Modi, 2020, Social media analysis of consumer opinion on apparel supply chain transparency, J. Fash. Mark. Manag.: Int. J., 25, 465 Moritz, 2015 Munn, 2018, Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach, BMC Med. Res. Methodol., 18, 1, 10.1186/s12874-018-0611-x Na, 2020, Sensibility and response keywords of users according to posting types of fashion Instagram focused on koreans’ fashion brands, Int. J. Cloth. Sci. Technol., 32, 23, 10.1108/IJCST-03-2018-0032 Nawaz, 2021, Role of artificial neural networks techniques in development of market intelligence: a study of sentiment analysis of eWOM of a women's clothing company, J. Theor. Appl. Electron. Comm. Res., 16, 1862, 10.3390/jtaer16050104 Neethu, 2013, Sentiment analysis in twitter using machine learning techniques, 1 Ng, 2020, Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning, Comput. Ind. Eng., 139, 10.1016/j.cie.2019.106180 Odlum, 2015, What can we learn about the Ebola outbreak from tweets?, Am. J. Infect. Control, 43, 563, 10.1016/j.ajic.2015.02.023 Ogai, 2020, Changing structures of B2B networks in the Japanese textile and apparel industry, Fashion and Textiles, 7, 1, 10.1186/s40691-019-0198-9 Oh, 2011 Ongsulee, 2017, Artificial intelligence, machine learning and deep learning Detenber, 2020, Sustainablefashion – a conceptual framework for sustainable fashion discourse on twitter, Environ. Commun., 4 Paiement, 2020, Finding international law in private governance: how codes of conduct in the apparel industry refer to international instruments, Indiana J. Global Leg. Stud., 27, 303, 10.2979/indjglolegstu.27.2.0303 Pantano, 2018 Peterson, 2020, The unruly, loud, and intersectional muslim woman: interrupting the aesthetic styles of islamic fashion images on Instagram, Int. J. Commun., 14, 20 Pinchera, 2019, Marketplace icon: the fashion show, Consum. Mark. Cult., 1 Prabhu, 2010, Augmenting rapid clustering method for social network analysis, 407 Qian, 2013, Personalized recommendation combining user interest and social circle, IEEE Trans. Knowl. Data Eng., 26, 1763, 10.1109/TKDE.2013.168 Quelhas-Brito, 2020, Diffusing fashion information by social media fashion influencers: understanding antecedents and consequences, J. Fash. Mark. Manag.: Int. J., 24, 137 Ramanathan, 2019, Prediction of individual's character in social media using contextual semantic sentiment analysis, Mobile Network. Appl., 24, 1763, 10.1007/s11036-019-01388-3 Regaudie, 2022 Romão, 2019, Leveraging a luxury fashion brand through social media, Eur. Res. Manag. Bus. Econ., 25, 15, 10.1016/j.iedeen.2018.10.002 Sabet, 2021, Social media posts popularity prediction during long-running live events A case study on fashion week, Thesis Commons. May 29 Saif, 2016, Contextual semantics for sentiment analysis of Twitter, Inf. Process. Manag., 52, 5, 10.1016/j.ipm.2015.01.005 Salakhutdinov, 2009, 448 Salem, 2021, Personality traits and social media as drivers of word-of-mouth towards sustainable fashion, J. Fash. Mark. Manag.: Int. J., 25, 24 Seufert, 2016, More than topology: joint topology and attribute sampling and generation of social network graphs, Comput. Commun., 73, 176, 10.1016/j.comcom.2015.07.023 Shahbaznezhad, 2021, The role of social media content format and platform in users' engagement behavior, J. Interact. Market., 53, 47, 10.1016/j.intmar.2020.05.001 Shang, 2013, Social manufacturing cloud service platform for the mass customization in apparel industry, 220 Sharma, 2017, Zika virus pandemic—analysis of Facebook as a social media health information platform, Am. J. Infect. Control, 45, 301, 10.1016/j.ajic.2016.08.022 Sherstinsky, 2020, Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network, Phys. Nonlinear Phenom., 404, 10.1016/j.physd.2019.132306 Shi, 2021, Enhanced customer requirement classification for product design using big data and improved Kano model, Adv. Eng. Inf., 49, 10.1016/j.aei.2021.101340 Shimizu, 2022, Fashion intelligence system: an outfit interpretation utilizing images and rich abstract tags, Expert Syst. Appl. Silvano, 2020 Singh, 2022, Effective parallel processing social media analytics framework, J. King Saud Univ. Comput. Inf. Sci., 34, 2860 Smiley, 2019 Social, 2021 Social, 2021 Sudirjo, 2021, Social media, consumer motivation, and consumer purchase decision for fashion consumers in semarang district, J. Manajemen (Edisi Elektronik), 12, 78 Sun, 2015, Matrix based community evolution events detection in online social networks, 465 Sundararaj, 2021, A detailed behavioral analysis on consumer and customer changing behavior with respect to social networking sites, J. Retailing Consum. Serv., 58, 10.1016/j.jretconser.2020.102190 Sung, 2020, Social media big data analysis of Z-generation fashion, J. Korea Fash. Costum. Des. Assoc., 22, 49 2022 Taboada, 2011, Lexicon-based methods for sentiment analysis, Comput. Ling., 37, 267, 10.1162/COLI_a_00049 Takano, 2020, Decay characteristics of user dynamics in online social networks, IEEE Access, 8, 73986, 10.1109/ACCESS.2020.2988471 Terziani, 2019 Thelwall, 2010, Sentiment strength detection in short informal text, J. Am. Soc. Inf. Sci. Technol., 61, 2544, 10.1002/asi.21416 Thenorthface. 2018. retrieve from http://www.50northspatial.org/planet-explorer/[Online]. ([Accessed]). Trappey, 2018, Consumer driven product technology function deployment using social media and patent mining, Adv. Eng. Inf., 36, 120, 10.1016/j.aei.2018.03.004 Trier, 1996, Feature extraction methods for character recognition-a survey, Pattern Recogn., 29, 641, 10.1016/0031-3203(95)00118-2 Van Schaik, 2018, Security and privacy in online social networking: risk perceptions and precautionary behaviour, Comput. Hum. Behav., 78, 283, 10.1016/j.chb.2017.10.007 Wahab, 2022, Social media celebrities and new world order. What drives purchasing behavior among social media followers?, J. Retailing Consum. Serv., 68, 10.1016/j.jretconser.2022.103076 Wamba, 2017, Big data analytics and firm performance: effects of dynamic capabilities, J. Bus. Res., 70, 356, 10.1016/j.jbusres.2016.08.009 Wang, 2020, Recognizing CEO personality and its impact on business performance: mining linguistic cues from social media, Inf. Manag., 57, 10.1016/j.im.2019.103173 Wang, 1958 Wang, 2021, Online to offline: the impact of social media on offline sales in the automobile industry, Inf. Syst. Res., 32, 582, 10.1287/isre.2020.0984 Wang, 2022, A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction, J. Retailing Consum. Serv., 68, 10.1016/j.jretconser.2022.103038 Waszak, 2018, The spread of medical fake news in social media–the pilot quantitative study, Health pol. technol., 7, 115, 10.1016/j.hlpt.2018.03.002 Wazarkar, 2020, Social image mining for fashion analysis and forecasting, Appl. Soft Comput., 95, 10.1016/j.asoc.2020.106517 Weigend, 2018 Whitley, 1994, A genetic algorithm tutorial, Stat. Comput., 4, 65, 10.1007/BF00175354 Widmar, 2020, Social media sentimentas an additional performance measure? Examples from iconic theme park destinations, J. Retailing Consum. Serv., 56, 10.1016/j.jretconser.2020.102157 Wu, 2013, Data mining with big data, IEEE Trans. Knowl. Data Eng., 26, 97 Xiao, 2022, User preference mining based on fine-grained sentiment analysis, J. Retailing Consum. Serv., 68, 10.1016/j.jretconser.2022.103013 2022 Xuan, 2019, A self-learning information diffusion model for smart social networks, IEEE Trans. Netw. Sci. Eng., 7, 1466, 10.1109/TNSE.2019.2935905 Yahia, 2018, Investigating the drivers for social commerce in social media platforms: importance of trust, social support and the platform perceived usage, J. Retailing Consum. Serv., 41, 11, 10.1016/j.jretconser.2017.10.021 Youn, 2021, Semantic network analysis to explore the concept of sustainability in the apparel and textile industry, Sustainability, 13, 3813, 10.3390/su13073813 Yu, 2012, An empirical study of intelligent expert systems on forecasting of fashion color trend, Expert Syst. Appl., 39, 4383, 10.1016/j.eswa.2011.09.153 Yu, 2020, Social media based, data-mining driven social network analysis (SNA) of printing technologies in fashion industry Yuan, 2022, Sentiment analysis of fashion related posts in social media, 1310 Yue, 2019, A survey of sentiment analysis in social media, Knowl. Inf. Syst., 60, 617, 10.1007/s10115-018-1236-4 Zagheni, 2014, Inferring international and internal migration patterns from twitter data, 439 Zeng, 2019, Exploitation of social network data for forecasting garment sales, Int. J. Comput. Intell. Syst., 12, 1423, 10.2991/ijcis.d.191109.001 Zhang, 2021, Research on case reasoning method based on TF-IDF, Int. J. Syst. Assur. Eng. Manag., 12, 608, 10.1007/s13198-021-01135-6 Zhang, 2021, Value-creation strategy of nanjing SHEIN, Int. J. Front. Sociol., 3, 89 Zhang, 2012, Slow feature analysis for human action recognition, IEEE Trans. Pattern Anal. Mach. Intell., 34, 436, 10.1109/TPAMI.2011.157 Zhang, 2018, Precise marketing of precision marketing value chain process on the H group line based on big data, J. Intell. Fuzzy Syst., 35, 2837, 10.3233/JIFS-169637 Zhang, 2017, Trip outfits advisor: location-oriented clothing recommendation, IEEE Trans. Multimed., 19, 2533, 10.1109/TMM.2017.2696825 Zhang, 2020, SNA-based multi-criteria evaluation of multiple construction equipment: a case study of loaders selection, Adv. Eng. Inf., 44, 10.1016/j.aei.2020.101056 Zhao, 2019, The rise of fashion informatics: a case of data-mining-based social network analysis in fashion, Cloth. Text. Res. J., 37, 87, 10.1177/0887302X18821187 Zhao, 2022, The use of social media to promote sustainable fashion and benefit communications: a data-mining approach, Sustainability, 14, 1178, 10.3390/su14031178 Zheng, 2021, Personalized fashion recommendation from personal social media data: an item-to-set metric learning approach, 5014 Zhiyi, 2021, Analysis of fast fashion brand marketing strategy based on the four ps of marketing, 95 Zhou, 2013, Research of China's position for textile and apparel trade-based on the social network perspective, 667 Zhou, 2010, Balanced parallel fp-growth with mapreduce, 243 Zhou, 2019, Fashion recommendations through cross-media information retrieval, J. Vis. Commun. Image Represent., 61, 112, 10.1016/j.jvcir.2019.03.003 Zou, 2019, Key opinion leaders’ influences in the Chinese fashion market, 118