Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Identifying the Influence of Social Media Factors to the Apparel Ecommerce Products in Sri Lanka

Author : Induwara G A P 1 Sathsarani B G K 2 Rangana H A P 3 Ranasinghe I N 4

Date of Publication :21st October 2021

Abstract: E-commerce is the new trend of retail apparel industry in Sri Lanka. Apparel products are highly volatile since it’s related to style, it frequently changes with the influence of society. Today local society is represented by social media. Therefore, the changes in local social media factors will directly influence to the local apparel market. Social media product virality plays a major role among those factors. Currently apparel ecommerce companies analyses these virality based on the past sales and google trend data, but it is highly inaccurate due to the high volatility of fashion. Due to this most ecommerce apparel companies left behind with the trend and loss sales with overstock or understock situations. One who catch up with viral apparel trend will win, while others need to work hard to provide their unique selling propositions by spending lot of financials to SEO and marketing. Due to volatility even small apparel ecommerce companies resist to enter as early adapters. The complexity of the market makes it more tough task to analyses all the viral apparel products. The current research analyses and measures the virality impact of apparel ecommerce products by considering reaction emotions, shares, product type from selected ecommerce pages, so that ecommerce sellers can pre-identify how much virality impact the respective apparel ecommerce product can make, which will ultimately help them to identify the riskiness in real time. The virality impact had been graded into 4 categories after the analyses. Finally, the product description/caption will be analyses to find the reason for the product virality by analyzing the product price, discount & likes and image by using image processing algorithm techniques.

Reference :

    1. University of Oxford, "Oxford Learners's Dictionaries," University of Oxford, 26 February 2021. [Online]. Available: https://www.oxfordlearnersdictionaries.com/definition /english/viral?q=viral. [Accessed 26 February 2021].
    2. H. A. Simon, in Designing Organizations for an Information-rich World, Baltimore, Johns Hopkins University Press, 1971, pp. 37-52.
    3. The Nielsen Company, "CONSUMER TRUST IN ONLINE, SOCIAL AND MOBILE ADVERTISING GROWS," 11 April 2012. [Online]. Available:https://www.nielsen.com/us/en/insights/artic le/2012/consumer-trust-in-online-social-and-mobileadvertising-grows/. [Accessed 21 2 2021].
    4. R. Miller, "Social media and its implications for viral marketing," ResearchGate, Sydney, 2010.
    5. emarketingeye, "DIGITAL INSIGHTS AND TRENDS ON HOW SRI LANKANS SEARCH FOR ESSENTIALS ONLINE DURING LOCKDOWN," EMARKETINGEYE PVT LTD, 2020. [Online]. Available: https://www.emarketingeye.com/digitalinsights-and-trends-on-how-sri-lankans-search-foressentials-online-during-lockdown.html. [Accessed 25 2 2021].
    6. A.Al-Rawi, "Viral News on Social Media," Digital Journalism, vol. 1, pp. 11-13, 2017.
    7. B.P.-L. Michal Matukin, "Biometric Measures for Interactive Advertising Research," Journal of Interactive Advertising, vol. 1, pp. 1 -3, 2011.
    8. E.-P. L. Tuan-Anh Hoang, "Virality and Susceptibility in Information Diffusions," Singapore Management University, 2012.
    9. N. T. J. Bailey, The mathematical theory of infectious diseases and its applications, Griffin, 1975.
    10. P. M. NAPOLI, "MEASURING MEDIA IMPACT," grey, 2014.
    11. A, A. L. M. B. J. V. a. R. v. W. Dobele, "Why Pass on Viral Messages? Because They Connect Emotionally," Business Horizons, vol. 50, no. 4, pp. 291-304, 2007.
    12. B.Hermida, "Tell Everyone: Why We Share and Why It Matters," Digital Journalism, vol. 4, no. 2, p. 298– 299, 2014.
    13. Nils Store, "Nils Store," Nils Store, [Online]. Available: https://www.facebook.com/NilsStore. [Accessed 10 9 2021].
    14. StatCounter, "Social Media Stats Sri Lanka," StatCounter, February 2021. [Online]. Available: https://gs.statcounter.com/social-media-stats/all/srilanka. [Accessed 23 March 2021].
    15.  J. Bridges, "How to use Facebook as a professional networking tool," REPUTATION DEFENDER, 16 September 2019. [Online]. Available: https://www.reputationdefender.com/blog/jobseekers/how-to-use-facebook-as-a-professionalnetworkingtool#:~:text=When%20people%20think%20about%20 the,of%20people%20to%20connect%20with.. [Accessed 23 March 2021].
    16. Robert, "forbes.com," forbes, 9 March 2018. [Online]. Available: https://www.forbes.com/sites/robertwynne/2018/03/09 /there-are-no-guarantees-or-exact-statistics-for-goingviral/?sh=b7860725e8c9. [Accessed 15 9 2021].
    17. Influencer Marketing Hub, "Virality," Influencer Marketing Hub, 2021. [Online]. Available: https://influencermarketinghub.com/glossary/virality/. [Accessed 24 09 2021].
    18. A. Lua, "buffer.com," buffer, [Online]. Available: https://buffer.com/library/increase-facebook-pageengagement/. [Accessed 21 September 2021].
    19. DailyFT, "FT.LK," DailyFT, 8 July 2019. [Online]. Available: https://www.ft.lk/columns/Sri-Lanka-selevation-to-upper-middle-income-status-Attainmentis-welcome-but-challenges-are-more/4-681449. [Accessed 23 September 2021].
    20. M. Christopher, "Creating agile supply chains in the fashion industry," International Journal of Retail & Distribution Management, vol. 2, pp. 367-376, 2004.
    21. McKinsey & Company, "The State," McKinsey & Company, London, 2020.
    22. N. Patel, "How to Get More Social Media Followers (Without Creating Content)," Neil Patel Digital, 2021. [Online]. Available: https://neilpatel.com/blog/socialmedia-follower-increase/. [Accessed 31 March 2021].
    23. E. B. ,. Y. Manuel J. Sánchez-Franco, "What drives social integration in the domain of social network sites?," Online Information Review, vol. 39, no. 1, pp. 5-25, 2015.
    24.  Feoktistov, "Agile Software Development Lifecycle Phases Explained," RELEVANT, [Online]. Available: https://relevant.software/blog/agile-softwaredevelopment-lifecycle-phases-explained/. [Accessed 23 March 2021].
    25. Redmon, S. Divvala, R. Girshick and A. Farhadi, "You Only Look Once : Unified, Real-Time Object Detection," University of Washington, Allen Institute for AI, Facebook AI Research, Washington, 2016.
    26. Biewald, "Experiment Tracking with Weights and Biases," Weights and Biases, [Online]. Available: http://wandb.com. [Accessed 26 09 2021].
    27.  "YOLOv5 | PyTorch," [Online]. Available: https://pytorch.org/hub/ultralytics_yolov5/. [Accessed 26 09 2021].
    28. "Make Sense," [Online]. Available: https://www.makesense.ai/. [Accessed 26 09 2021].
    29. "Kaggle: Your Home for Data Science," [Online]. Available: http://www.kaggle.com. [Accessed 26 09 2021].
    30. "Graph API," Facebook, [Online]. Available: https://developers.facebook.com/docs/graph-api/. [Accessed 30 09 2021].

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