Journal of Textile Science and Technology

Journal of Textile Science and Technology

Multifaceted Attractiveness of Social Media in Online Apparel Shopping: A Qualitative-Quantitative Assessment of Users’ Latent Attitudes

Document Type : Research/ Original/ Regular Article

Author
Department of Management and accounting, To.c., Islamic Azad University, Tonekabon, Iran.
Abstract
This research investigates the constructive role of online attractiveness on social media presence and influence within the apparel industry. The methodology employed is a mixed-methods approach. The initial qualitative phase involved content analysis and projective technique interviews, targeting purposefully selected experts, utilizing MAXQDA software. The second quantitative phase used Confirmatory Factor Analysis (CFA) to determine the strength of relationships between factors and examine the validity of each construct, employing PLS (Partial Least Squares) software. The statistical population for the quantitative segment comprised all social media users in Mazandaran Province who shop online for apparel. Considering the population as infinite, the sample size was determined to be 384 individuals based on Cochran’s formula. Qualitative findings identified online attractiveness comprising four components: website appeal and ease of access, frequency and variety of goods and brands, purchasing accuracy, and prestige. In the quantitative phase, findings demonstrated that online attractiveness has a strong influence ( -Value=42/72) on presence across platforms, with Instagram securing the highest priority. Ultimately, the proposed four-component conceptual model offers a systematic framework for apparel industry managers to strategically enhance their brand influence in the digital sphere by focusing on optimizing “online attractiveness” on key platforms; this underscores the necessity of an integrated approach based on these four core components.
Keywords
Subjects

[1]. Guo, M., Li, S., Thiyagarajan⁴, K., Cheng, Z., & Zhao, L. (2025). FITMag: A Framework for Generating Fashion Journalism Using Multimodal LLMs, Social Media Influence, and Graph RAG. Artificial Intelligence and Social Computing, 163, 79.‏
[2]. Staniewski, M., & Awruk, K. (2022). The influence of Instagram on mental well-being and purchasing decisions in a pandemic. Technological Forecasting and Social Change, 174, 121287.‏ https://doi.org/10.1016/j.techfore.2021.121287
[3]. Chowdhury, S. N., Faruque, M. O., Sharmin, S., Talukder, T., Al Mahmud, M. A., Dastagir, G., & Akter, S. (2024). The impact of social media marketing on consumer behavior: A study of the fashion retail industry. Open Journal of Business and Management, 12(3), 1666-1699.‏
[4]. Hao, L., & Zhang, L. (2025). Consumer Attitudes Towards Sustainable Fashion: Implications for the Fashion and Apparel Industry. Sustainable Development.‏ https://doi.org/10.1002/sd.3558
[5]. Ballı, A. (2024). Comparison of Studies Conducted in the Field of Neuromarketing and Artificial Intelligence Using Bibliometric Method. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 11(3), 980-1010.‏ https://doi.org/10.30798/makuiibf.1416687
[6]. Arief, M., Mustikowati, R. I., & Chrismardani, Y. (2023). Why customers buy an online product? The effects of advertising attractiveness, influencer marketing and online customer reviews. LBS Journal of Management & Research, 21(1), 81-99.‏ https://doi.org/10.1108/LBSJMR-09-2022-0052
[7]. Roustazadeh Sheikh Yousefi, Maryam, Davoudi, Seyyed Mohammad Reza, Aghasi, Saeed and Shirvani, Alireza. (2024). Identifying the components of digital content production in marketing in the fashion and clothing industry. Textile and Clothing Science and Technology, 13(3), 39-59. https://doi.org/10.22034/jtst.2024.444189.1451. (In Persian).
[8]. Shao, C., Nah, S., Makady, H., & McNealy, J. (2025). Understanding user attitudes towards AI-enabled technologies: An integrated model of Self-Efficacy, TAM, and AI Ethics. International Journal of Human–Computer Interaction, 41(5), 3053-3065.‏ https://doi.org/10.1080/10447318.2024.2331858
[9]. Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N. A., Abazid, H., Malaeb, D., ... & Sallam, M. (2024). A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT. Scientific Reports, 14(1), 1983.‏ https://www.nature.com/articles/s41598-024-52549-8
[10]. Cai, Q., Lin, Y., & Yu, Z. (2024). Factors influencing learner attitudes towards ChatGPT-assisted language learning in higher education. International Journal of Human–Computer Interaction, 40(22), 7112-7126.‏ https://doi.org/10.1080/10447318.2023.2261725
[11]. Zhao, R., Hao, Y., & Li, X. (2024). Business analysis: User attitude evaluation and prediction based on hotel user reviews and text mining. arXiv preprint arXiv:2412. 16744.‏
 
[12]. Chakraborty, D., Mehta, P., & Khorana, S. (2025). Metaverse technologies in hospitality: using the theory of consumption values to reveal consumer attitudes and trust factors. International Journal of Contemporary Hospitality Management, 37(4), 1276-1308.‏ https://doi.org/10.1108/IJCHM-09-2023-1500
[13]. Hong, C., Choi, H., Choi, E. K., & Joung, H. W. (2025). Exploring customer perceptions of food delivery robots: a value-based model of perceived value, satisfaction, and their impact on behavioral intentions and word-of-mouth. Journal of Hospitality Marketing & Management, 34(4), 526-548.‏ https://doi.org/10.1080/19368623.2025.2462073
[14]. Han, L., Mingying, H., & Peng, Z. (2025). The influence of social media marketing on the quality of hotel services and the behavioral intentions of tourists. Acta Psychologica, 255, 104881.‏ https://doi.org/10.1016/j.actpsy.2025.104881
[15]. Verma, R., Dalla Chiara, G., & Goodchild, A. (2025). Does proximity matter in shopping behavior?. Transportation Research Part A: Policy and Practice, 196, 104471.‏ https://doi.org/10.1016/j.tra.2025.104471
[16]. Khoshtainat, Behnaz, Hosseinian, Seyed Ahmad and Norouzi, Mahnaz. (2025). The effect of strategic market intelligence on the international marketing performance of national brands in the textile industry with regard to the moderating role of competitive strategies. Textile and Clothing Science and Technology, 14(2), 92-108.  doi: 10.22034/jtst.2025.480551.1476  (In Persian).
[17]. Laddha, S., Bhosale, S., Singh, S., & Ghosh, S. (2025). Understanding Consumer Sentiments Of Selecting Organic Brands Of Fashion Apparel. International Journal of Environmental Sciences, 11(9s), 855-861.‏ https://doi.org/10.64252/g52m3758
[18]. Fazeli Veisari, Elham, Asgari, Mohammad Hadi and Fazeli Veisari, Mehran. (2023). Using metaheuristic algorithm in optimizing the effect of sensory marketing on customer loyalty: A case study in the Iranian textile and clothing industry. Textile and Clothing Science and Technology, 12(2), 41-62. https://dor.isc.ac/dor/20.1001.1.21517162.1402.12.2.4.5
[19]. Henseler, J., Sarstedt, M. (2013). Goodness-of-Fit Indices for Partial Least Squares Path Modeling: Computational statistics, 28, 565-580. DOI 10.1007/s00180-012-0317-1
 

  • Receive Date 24 November 2025
  • Revise Date 27 January 2026
  • Accept Date 02 February 2026