2016
DOI: 10.1080/19368623.2016.1171190
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Investigating Information Adoption Tendencies Based on Restaurants’ User-Generated Content Utilizing a Modified Information Adoption Model

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Cited by 54 publications
(70 citation statements)
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References 67 publications
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“…The reviews uploaded by experience travelers are more trustworthy as compared to novice travelers. The results of this dimension are consistent with previous researches (Arora & Lata, 2020;Cheung et al, 2008;Cheung et al, 2009;Coursaris, Osch & Albini, 2018;Kang & Namkung, 2019;Lee & Shin, 2014;Salehi-Esfahani, 2016;Tseng & Wang, 2015;Xu, 2014;Zhang & Watts, 2008;Zhu, Chang Luo, 2016;Zu et al, 2015) The third hypotheses H3 indicates (path coefficient = 0.131, t statistics = 3.814, p < 0.05) was also found statically significant. The consumer tends to believe more when reviews updated on platform are two sided (positive and negative).…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…The reviews uploaded by experience travelers are more trustworthy as compared to novice travelers. The results of this dimension are consistent with previous researches (Arora & Lata, 2020;Cheung et al, 2008;Cheung et al, 2009;Coursaris, Osch & Albini, 2018;Kang & Namkung, 2019;Lee & Shin, 2014;Salehi-Esfahani, 2016;Tseng & Wang, 2015;Xu, 2014;Zhang & Watts, 2008;Zhu, Chang Luo, 2016;Zu et al, 2015) The third hypotheses H3 indicates (path coefficient = 0.131, t statistics = 3.814, p < 0.05) was also found statically significant. The consumer tends to believe more when reviews updated on platform are two sided (positive and negative).…”
Section: Resultssupporting
confidence: 92%
“…The high quality reviews insist on the consumer to trust and help them to plan their tour. The finding of this dimension is consistent with the previous researches (Arora & Lata, 2020;Coursaris, Osch, & Albini, 2018;Lee & Shin, 2014;Salehi-Esfahani, 2016;Tseng & Wang, 2015;Xu, 2014;Zhu, Chang Luo, 2016;Zu et al, 2015).…”
Section: Resultssupporting
confidence: 91%
“…Kim, Li, and Brymer (2016) tested the relationship between eWOM and the financial performance of restaurants. Studies have confirmed that contents (eWOM) from generators with different personalities have varied influences, such as professionalism (Zhang, Ye, Law, & Li, 2010), credibility (Salehi‐Esfahani, Ravichandran, Israeli, & Bolden, 2016), and affinity and age (Gkoumas, 2019), on readers who intend to consume a particular type of food. Tiago, Amaral, and Tiago (2015) verified that food quality is a crucial factor that influences customers' perception, wherein the dimension of food is more than satisfying customers' tastes alone through the analysis of eWOM left by food tourists.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, users’ reviewers are perceived as much more credible. Salehi-Esfahani et al [58] realize how extreme opinions online (very positive or very negative) and the credibility of the person posting them significantly and positively affect the usefulness of restaurant customers. Gkoumas [59] indicates that elements such as affinity and age of the person sharing the review, context, content and the response of the owner increased the empathy of the visitors for particular restaurants.…”
Section: Gastronomic Image Online Within Tourist Destination Imagementioning
confidence: 99%