Learning consumer preferences from online textual reviews and ratings based on the aggregation-disaggregation paradigm with attitudinal Choquet integral

Yang, Qian; Liao, Huchang; Wu, Xin

doi:10.1080/1331677x.2022.2106282

Cited by 5 publications

(2 citation statements)

References 45 publications

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“…Online reviews contain a wealth of information about customer concerns and feelings. This analysis can explore consumer preferences and satisfaction with the product/service [35]. In the digital age, sophisticated applications of the internet and social media provide a wealth of online reviews of travel information and promote new ways to gather feedback [36].…”

Section: Online Customer Reviewmentioning

confidence: 99%

Exploration of the Role of Tiktok Content: Influencer Strategy, Affiliate Marketing, and Online Customer Reviews in Influencing Generation Z Purchasing Decisions at Shopee

F Fitria,

Adisti,

D Dea

et al. 2024

ATHENA

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This study aims to determine the effect of the role of influencers, affiliate marketing, and online customer reviews at Shopee through TikTok content on Generation Z purchasing decisions. This research uses a quantitative approach by collecting data through an online survey of 199 respondents of the Management Study Program students class of 2020. The data were analyzed using multiple regression methods to evaluate the relationship between the independent variables of influencer roles, affiliate marketing, and online customer reviews and the dependent variable (purchasing decisions). The analysis results show that the role of influencers, affiliate marketing, and online customer reviews have a positive and significant influence on Generation Z's purchasing decisions. The findings emphasize the importance of integrating marketing strategies through influencers, affiliate marketing, and online customer reviews in influencing Generation Z's purchasing decisions. This provides guidance for businesses to utilize e-commerce platforms such as Shopee and TikTok content as an effective means of communication to reach and influence the Generation Z market. This research makes a new contribution to the understanding of how the role of influencers, affiliate marketing and online customer reviews on Shopee, particularly through TikTok content, can influence Generation Z's purchasing decisions. This research adds insight into effective marketing strategies to capture the attention and influence the consumption behavior of the younger generation in the context of e-commerce platforms.

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Section: Online Customer Reviewmentioning

confidence: 99%

Exploration of the Role of Tiktok Content: Influencer Strategy, Affiliate Marketing, and Online Customer Reviews in Influencing Generation Z Purchasing Decisions at Shopee

F Fitria,

Adisti,

D Dea

et al. 2024

ATHENA

View full text Add to dashboard Cite

show abstract

“…Reactions of the product indicate whether it is useful or not. The outcome of sentiment analysis calculation could illustrate the input and criticism provided by the client [16], [17]. The government has user-generated content to assess the performance of products and services [18].…”

Section: Introductionmentioning

confidence: 99%

Assessing public satisfaction of public service application using supervised machine learning

Zharif Mustaqim,

Melani Puspasari,

Tri Utami

et al. 2024

IJ-AI

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The COVID-19 pandemic has enormously affected the economic situation worldwide, including in Indonesia resulting in 30 million Indonesian tumbling into penury. The Ministry of Social Affairs initiated a program to distribute social assistance aimed at the poorest households. ‘Aplikasi Cek Bansos’ is a public service application that aims to validate their status towards the social assistance program. Understanding the public sentiment and factors affecting public satisfaction levels is crucial to be performed. The goal of this study is to perform a comparative study of supervised machine learning to learn the sentiment of the public and the dominant variable resulting in public satisfaction. Support vector machine, Naïve Bayes dan K-nearest neighbor (KNN) are performed to seek the highest accuracy. This experiment discovered that the KNN algorithm produced outstanding performance where the accuracy hit 99.21%. Sentiment prediction indicated negative perception as the majority covering 83.81%. Trigrams analysis is performed to learn themes affecting satisfaction levels toward the application. Negative themes are grouped into the following categories: App instability, hope for improvement, navigation issues, and low-quality content. Some recommendations are offered for the Ministry of Social Affairs and developers, to overcome negative feedback and enhance public satisfaction level towards the application.

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Insights on purchase intention of mutton shashlik - A survey of Chinese consumers based on fsQCA

Cai,

Shen,

et al. 2024

Future Foods

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Learning consumer preferences from online textual reviews and ratings based on the aggregation-disaggregation paradigm with attitudinal Choquet integral

Cited by 5 publications

References 45 publications

Exploration of the Role of Tiktok Content: Influencer Strategy, Affiliate Marketing, and Online Customer Reviews in Influencing Generation Z Purchasing Decisions at Shopee

Exploration of the Role of Tiktok Content: Influencer Strategy, Affiliate Marketing, and Online Customer Reviews in Influencing Generation Z Purchasing Decisions at Shopee

Assessing public satisfaction of public service application using supervised machine learning

Insights on purchase intention of mutton shashlik - A survey of Chinese consumers based on fsQCA

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