Predicting intention to follow online restaurant community advice: a trust-integrated technology acceptance model

IF 4.2 Q2 BUSINESS
Aya K. Shaker, R. H. Mostafa, R. I. Elseidi
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引用次数: 1

Abstract

PurposeThis research investigates consumer intention to follow online community advice. Applying the technology acceptance model (TAM) to the context of online restaurant communities, the study empirically examines the effects of perceived usefulness, perceived ease of use, attitude and trust on the intention to follow online advice.Design/methodology/approachThe data were collected from 360 members of online restaurant communities on Facebook and analyzed using structural equation modeling (SEM).FindingsThe findings revealed that trust, perceived usefulness and attitude are key predictors of the intention to follow online restaurant community advice.Originality/valueExtant research on the influence of online reviews on consumer behavior in the restaurant industry has largely focused on the characteristics of the review, reviewers or readers. Moreover, other studies have investigated consumers' motivations to write online restaurant reviews. This study, however, takes a different approach and examines what drives consumers to follow the advice from online restaurant communities.
预测遵循在线餐厅社区建议的意愿:一个信任集成技术接受模型
目的本研究调查消费者遵循在线社区建议的意愿。将技术接受模型(TAM)应用于在线餐厅社区的背景下,该研究实证检验了感知有用性、感知易用性、态度和信任对遵循在线建议意愿的影响。设计/方法/方法从Facebook上的360名在线餐厅社区成员中收集数据,并使用结构方程建模(SEM)进行分析。研究结果表明,信任、感知有用性和态度是遵循在线餐厅社区建议意愿的关键预测因素。原创/价值关于在线评论对餐饮业消费者行为影响的现有研究主要集中在评论、评论人或读者的特征上。此外,其他研究也调查了消费者撰写在线餐厅评论的动机。然而,这项研究采取了不同的方法,并考察了是什么驱使消费者听从在线餐厅社区的建议。
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来源期刊
CiteScore
6.90
自引率
0.00%
发文量
21
审稿时长
24 weeks
期刊介绍: European Journal of Management and Business Economics is interested in the publication and diffusion of articles of rigorous theoretical, methodological or empirical research associated with the areas of business economics, including strategy, finance, management, marketing, organisation, human resources, operations, and corporate governance, and tourism. The journal aims to attract original knowledge based on academic rigour and of relevance for academics, researchers, professionals, and/or public decision-makers.
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