2010
DOI: 10.1016/j.chb.2010.01.005
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Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits

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Cited by 142 publications
(74 citation statements)
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References 60 publications
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“…Personality has drawn interest as a predictor perhaps because it has been shown to predict a number of different types of behavior that relate directly or indirectly to Internet usage. Examples include consumer behavior (Kassarjian, 1971), job performance (Barrick & Mount, 1991), academic achievement (Komarraju, Karau, Schmeck, & Avdic, 2011), team performance (Kichuk & Wiesner, 1997), media preferences (Kraaykampa and van Eijck (2005), Internet banking (Grabner-Kräuter & Faullant, 2008), technology adoption (Vishwanath, 2005), online reviews (Picazo-Velaa, Choua, Melchera, & Pearson, 2010), religiosity (Saroglou, 2002) and unethical Internet behavior (Karim, Hidayah, & Nor, 2009). …”
Section: Introductionmentioning
confidence: 99%
“…Personality has drawn interest as a predictor perhaps because it has been shown to predict a number of different types of behavior that relate directly or indirectly to Internet usage. Examples include consumer behavior (Kassarjian, 1971), job performance (Barrick & Mount, 1991), academic achievement (Komarraju, Karau, Schmeck, & Avdic, 2011), team performance (Kichuk & Wiesner, 1997), media preferences (Kraaykampa and van Eijck (2005), Internet banking (Grabner-Kräuter & Faullant, 2008), technology adoption (Vishwanath, 2005), online reviews (Picazo-Velaa, Choua, Melchera, & Pearson, 2010), religiosity (Saroglou, 2002) and unethical Internet behavior (Karim, Hidayah, & Nor, 2009). …”
Section: Introductionmentioning
confidence: 99%
“…Based on a cross-sectional survey study, only neuroticism and conscientiousness are significant predictors. Attitude-toward-leaving reviews and perceived pressure are also found to have a positive impact (Picazo-Vela et al, 2010).…”
Section: Intention-to-leave Reviewsmentioning
confidence: 99%
“…Specifically, the link between satisfaction and the likelihood of WOM referrals is stronger for high product-involvement customers than for low product-involvement customers. Other factors, such as attitude toward leaving reviews, subjective norm, perceived behavioral control, and perceived pressure, can impact people's intention to leave reviews (Picazo-Vela et al, 2010).…”
Section: Intention-to-leave Reviewsmentioning
confidence: 99%
See 1 more Smart Citation
“…Além disso, a maior parte dos estudos sobre eWOM tem focado no comportamento do consumidor que recebe a informação (Verhagen, Nauta, & Felberg, 2013), mas pouca atenção tem sido dada às motivações para o engajamento com o eWOM (Cheung & Lee, 2012;Picazo-Vela, Chou, Melcher, & Pearson, 2010;), assim como são poucos os estudos empíricos que ajudam a compreender esse fenômeno (Blazevic et al, 2013, Hollebeek, Glynn, & Brodie, 2014, Rossmann, Ranjan, & Sugathan, 2016. Outra lacuna encontrada reside no fato de haver poucos estudos de comportamento sobre o engajamento do consumidor que emite comentários negativos.…”
Section: Introductionunclassified