Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias

Instagram hashtags can be very helpful for introducing a new product, promotion, or anything related to the products where it links customers to the Instagram account page. However, there has been some concern whether the marketers know how an Instagram hashtag can successfully help towards the vira...

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Main Author: Elias, Nur Syamimi
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/44556/1/44556.pdf
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spelling my-uitm-ir.445562021-04-22T07:33:58Z Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias 2021-03-30 Elias, Nur Syamimi Telemarketing. Internet marketing Difference equations. Functional equations. Delay differential equations. Integral equations Instagram hashtags can be very helpful for introducing a new product, promotion, or anything related to the products where it links customers to the Instagram account page. However, there has been some concern whether the marketers know how an Instagram hashtag can successfully help towards the virality of product in online marketing. This small-scale study has been conducted to investigate the dynamics of online marketing via Instagram hashtag using the Susceptible-Infected-Recovered model. The susceptible represents the number of Instagram users, the infected signifies the Instagram users who like, view and use the hashtag related to the products. The recovered characterizes the Instagram users who like, view but not use the hashtag related to the product. Three products owned by famous Malaysian Instagrammers with the trending Instagram hashtag had been collected from their official Instagram page. The results reveal that the initial number of followers who view and share information about the product also affects the virality of the products. Besides, the product will be viral quickly if the number of likes and views of the product is high. 2021-03 Thesis https://ir.uitm.edu.my/id/eprint/44556/ https://ir.uitm.edu.my/id/eprint/44556/1/44556.pdf text en public degree Universiti Teknologi Mara Perlis Faculty Of Computer & Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Telemarketing
Internet marketing
Telemarketing
Internet marketing
spellingShingle Telemarketing
Internet marketing
Telemarketing
Internet marketing
Elias, Nur Syamimi
Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
description Instagram hashtags can be very helpful for introducing a new product, promotion, or anything related to the products where it links customers to the Instagram account page. However, there has been some concern whether the marketers know how an Instagram hashtag can successfully help towards the virality of product in online marketing. This small-scale study has been conducted to investigate the dynamics of online marketing via Instagram hashtag using the Susceptible-Infected-Recovered model. The susceptible represents the number of Instagram users, the infected signifies the Instagram users who like, view and use the hashtag related to the products. The recovered characterizes the Instagram users who like, view but not use the hashtag related to the product. Three products owned by famous Malaysian Instagrammers with the trending Instagram hashtag had been collected from their official Instagram page. The results reveal that the initial number of followers who view and share information about the product also affects the virality of the products. Besides, the product will be viral quickly if the number of likes and views of the product is high.
format Thesis
qualification_level Bachelor degree
author Elias, Nur Syamimi
author_facet Elias, Nur Syamimi
author_sort Elias, Nur Syamimi
title Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
title_short Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
title_full Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
title_fullStr Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
title_full_unstemmed Analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / Nur Syamimi Elias
title_sort analysing the dynamics of online marketing via instagram hastag using susceptible-infected-recovered model / nur syamimi elias
granting_institution Universiti Teknologi Mara Perlis
granting_department Faculty Of Computer & Mathematical Sciences
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/44556/1/44556.pdf
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