2021
DOI: 10.1080/15332969.2021.1982851
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I Have to Choose This University: Understanding Perceived Usefulness of Word of Mouth (WOM) in Choosing Universities among Students of Higher Education

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Cited by 19 publications
(48 citation statements)
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“…Therefore, message delivery can explain the relationship between message attributes and the perceived usefulness of a WOM message. A WOM message that is not communicated and delivered correctly may negatively influence the recipient's decisions (Amani, 2022a). So, the attributes of WOM messages, like expertise, homophily and TRUS can be important for the right transmission of WOM messages and, hence, the positively perceived usefulness of WOM.…”
Section: Trustworthiness Between the Public Buyers And Sme Suppliers ...mentioning
confidence: 99%
See 3 more Smart Citations
“…Therefore, message delivery can explain the relationship between message attributes and the perceived usefulness of a WOM message. A WOM message that is not communicated and delivered correctly may negatively influence the recipient's decisions (Amani, 2022a). So, the attributes of WOM messages, like expertise, homophily and TRUS can be important for the right transmission of WOM messages and, hence, the positively perceived usefulness of WOM.…”
Section: Trustworthiness Between the Public Buyers And Sme Suppliers ...mentioning
confidence: 99%
“…It has been documented in the literature that there is a relationship between WOM factors and WMMD and between WMMD and the perceived usefulness of WOM (Amani, 2022a). In another way, attributes of WOM messages such as EXDI, PERH and TRUS have been shown to affect the receiver's decision-making process.…”
Section: Trustworthiness Between the Public Buyers And Sme Suppliers ...mentioning
confidence: 99%
See 2 more Smart Citations
“…Before analyzing the path analysis through the structural model, the CFA was conducted first to assess if the measurement model fits well the collected data. While SEM is useful in analyzing latent variables for model relationships (Amani, 2022), CFA extracts the latent construct from the other variables and shares the most variance with the variables connected to the latent construct (Fan et al, 2016). Then, through the SEM, the study evaluated the effects of the relationships of the study variables.…”
Section: Data Analysis Approachmentioning
confidence: 99%