The mediating role of gender in social media shopping acceptance: from the WOM perspective

Jeljeli, Riadh; Farhi, Faycal; Hamdi, Mohamed Elfateh

doi:10.1016/j.heliyon.2022.e11065

Cited by 16 publications

(10 citation statements)

References 45 publications

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“…Communities built on social media can teach other users to use it more easily, and if you have difficulties, users help each other. The study's results support research results that state that E-WOM influences ease of use (Jeljeli et al, 2022;Kim et al, 2015;Tarigan et al, 2020).…”

Section: Resultssupporting

confidence: 84%

“…This shows that communication built online can provide recommendations to others (e-WOM3) and encourage others to make decisions (e-WOM4) so that it can impact perceived usefulness. The results of this study support the results of research that state that E-WOM influences perceived usefulness (Jeljeli et al, 2022;Tarigan et al, 2020;Konuk, 2019). The second hypothesis (H2), with the statement that E-WOM influences the ease of using e-wallets in subscribing to online streaming, is acceptable with a p-value of 0.000 and 0.408.…”

Section: Resultssupporting

confidence: 83%

“…Customers and hotels, which are expressed as a form of E-WOM, can impact good relationships and improve hotel performance (Kim et al, 2015). Sharing information with user comments and reviews using internet technology that can help other users decide on products or services in the industry can be said to be an application of E-WOM (Jeljeli et al, 2022). E-WOM products have been integrated with the results of customer reviews and opinions (Chen et al, 2017).…”

Section: E-wommentioning

confidence: 99%

“…2.5.1. Relationship of E-WOM to ease of use and perceived usefulness E-WOM, used by social media users, can provide recommendations for other users to purchase products or services provided by the company (Jeljeli et al, 2022). E-WOM is popular, namely that online reviews between users and service providers will impact customer purchase decisions using technology due to the ease of use and availability of adequate information (Kim et al, 2015).…”

Section: Relations Between Variable Conceptsmentioning

confidence: 99%

“…The company's ability to resolve user complaints expressed by E-WOM can affect other users, so explanations are needed from technology providers to continue using the products or services provided (Jeljeli et al, 2022). E-WOM can provide reviews and ratings that provide value to other users (Chen et al, 2017).…”

Section: The Relationship Between E-wom and E-wallet Paymentsmentioning

confidence: 99%

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The effect of e-WOM on customer satisfaction through ease of use, perceived usefulness and e-wallet payment

Nugroho¹,

Siagian²,

Oktavio³

et al. 2023

10.5267/j.ijdns

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Currently, streaming applications have been widely used by users to get comfort and pleasure in life. Users communicate with each other on social media related to the activities carried out. Communication is formed online as electronic word of mouth (e-WOM) between one user to another. The data distributed was 1238 respondents using streaming applications and 324 respondents in Indonesia who had used e-wallet payments as members. The analysis data was to answer all research hypotheses using partial least squares. The data processing results show that e-WOM impacts the perceived ease of use of e-wallets by 0.408. E-WOM positively impacts the perceived usefulness of the e-wallet by 0.270. E-WOM has an impact on e-wallet payment intention of 0.190. Perceived ease of use has an effect of 0.175 and perceived usefulness of 0.259 on e-wallet payment intention. Perceived ease of use influences perceived usefulness of 0.395. Perceived ease of use and perceived usefulness impact customer satisfaction in terms of 0.157 and 0.217. Finally, it was found that e-wallet payment intention has an impact of 0.173 on customer satisfaction. The results of this study contribute to e-wallet payment users and managers building two-way and effective communication through social media so that they can quickly and accurately solve user problems. The theoretical contribution is to enrich the theory of marketing behavior and technology acceptance models in electronic commerce.

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Section: Resultssupporting

confidence: 84%

Section: Resultssupporting

confidence: 83%