eWOM and Decision Making on the Use of e-Wallet Application  By Indonesian Customers

Nindyta,; Briandana, Rizki; Mijan, Rohana; Richard, Richard; Wardhani, Diah

doi:10.35808/ijeba/742

IJEBA

2021

DOI: 10.35808/ijeba/742

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eWOM and Decision Making on the Use of e-Wallet Application By Indonesian Customers

Nindyta Nindyta¹,

Rizki Briandana²,

Rohana Mijan³

et al.

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2024

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“…The same goes for other products and services. In a study conducted by Dwityas et al (2021) on the use of e-wallet applications by Indonesian customers, it was shown that the eWOM variable alone had a significant influence of 39.5% on the purchasing decision-making process using the LinkAja application, while the other factors combined had the remaining 60.5%. Consumers' behaviour is tilted toward the internet, as customers are wont to turn to the social media platform to find out what people say about a product/service before buying.…”

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Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

Obot,

Attai,

Onwodi

et al. 2024

Advances in Information Quality and Management

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The proliferation of social media and the internet has given people many opportunities to air their views and to be at liberty to say what they feel without hindrance. This is beneficial to commercial organizations and the general well-being of the populace. However, the cost of this freedom is that spamming is practiced with little or no control. This chapter focuses on the electronic word of mouth (eWOM) of opinion holders and the sentiments expressed in eWOM. One of the areas of life impacted by sentiment is electronic learning because it has become a prevalent mode of learning. The study aims to analyze eWOM on e-learning which can help in identifying learners' sentiments. Findings from three thousand tweets show more neutral sentiments, followed by positive sentiments. Suggestions and recommendations as well as the future directions for sentiment analysis of eWOM on e-learning are also discussed in this chapter.

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confidence: 99%

Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

Obot,

Attai,

Onwodi

et al. 2024

Advances in Information Quality and Management

View full text Add to dashboard Cite

show abstract

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eWOM and Decision Making on the Use of e-Wallet Application By Indonesian Customers

Cited by 1 publication

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Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning

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