How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework

Zhu, Linlin; He, Li; Wang, Feng-Kwei; He, Wu; Tian, Zejin

doi:10.1108/ajim-11-2019-0308

Cited by 147 publications

(94 citation statements)

References 86 publications

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“…Furner Christopher et al (2016) revealed an association between IO, trust, and purchase intention. A recent study (Zhu et al, 2020) supported the idea of a mediating role of trust and satisfaction between information quality, social presence, and purchase intention. Therefore, this article proposed the following hypothesis: H7: DD mediates the relationship between information and CO and II.…”

Section: The Mediating Role Of Digital Distrustmentioning

confidence: 86%

“…The negative deviation theory states that negative information can have a powerful deterrent effect on users, in contrast to positive or neutral information. Other researchers (Zhu et al, 2020) found that positive information was considered more trustworthy than negative information. Furner and Zinko (2017) studied the influence of IO on the development of trust and purchase intention based on online product reviews in a mobile vs. web context.…”

Section: The Mediating Role Of Digital Distrustmentioning

confidence: 93%

“…II was measured using three items adapted from Lee et al (2016) and Yu et al (2017). DD was measured using three items from Zhu et al (2020). Negative emotions were assessed using three items adapted from Kang et al (2013) and Chiu et al (2020), and cyber violence was assessed using three items from Lee et al (2016) and Sari and Camadan (2016).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Information Overload, Communication Overload, and Inequality on Digital Distrust: A Cyber-Violence Behavior Mechanism

et al. 2021

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In recent years, there has been an escalation in cases of cyber violence, which has had a chilling effect on users' behavior toward social media sites. This article explores the causes behind cyber violence and provides empirical data for developing means for effective prevention. Using elements of the stimulus–organism–response theory, we constructed a model of cyber-violence behavior. A closed-ended questionnaire was administered to collect data through an online survey, which results in 531 valid responses. A proposed model was tested using partial least squares structural equation modeling using SmartPLS 3.0, v (3.2.8). Research findings show that information inequality is a strong external stimulus with a significant positive impact on digital distrust and negative emotion. However, the effects of information overload on digital distrust and the adverse effects of communication overload on negative emotions should not be ignored. Both digital distrust and negative emotions have significant positive impacts on cyber violence and cumulatively represent 11.5% changes in cyber violence. Furthermore, information overload, communication overload, information inequality, and digital distrust show a 27.1% change in negative emotions. This study also presents evidence for competitive mediation of digital distrust by information overload, information inequality, and cyber violence. The results of this study have implications for individual practitioners and scholars, for organizations, and at the governmental level regarding cyber-violence behavior. To test our hypotheses, we have constructed an empirical, multidimensional model, including the role of specific mediators in creating relationships.

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Section: The Mediating Role Of Digital Distrustmentioning

confidence: 86%

Section: The Mediating Role Of Digital Distrustmentioning

confidence: 93%

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Effects of Information Overload, Communication Overload, and Inequality on Digital Distrust: A Cyber-Violence Behavior Mechanism

et al. 2021

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“…From a managerial perspective, understanding the role of SNs in the consumer daily life may help companies to effectively incorporate these media as an integral and significant part of the marketing communication mix. Previous studies have already shown the effect of social media communication on purchase decisions (e.g., Goh, Heng & Lin 2013;Park & Cho, 2012;Pookulangara & Koesler, 2011;Syrdal & Briggs, 2018;Vergura, Luceri & Zerbini, 2021;Zhu, Wang, He, & Tian, 2020). This study aims to enrich this knowledge by extending the analysis to other aspects of the consumer behavior.…”

Section: Resultsmentioning

confidence: 94%

The Role of Social Networks During the COVID-19 Lockdown: Real-Life Social Distancing Vs Virtual Interactions

Vergura¹,

Luceri²,

Zerbini³

2021

IJBM

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Online social networks have become one of the most widely used sources of information in the world and also an important part of our daily life. A huge boost to their spreading came with the outbreak of the COVID-19 pandemic. As social distancing and lockdown orders due to COVID-19 health emergency grew more pervasive, individuals began to spend more time online and to use social networks (SNs) to keep up to date regarding the spread of pandemic and also to maintain communication with friends and family and reduce isolation. Given these evidences, the present study aims to investigate the social supporting role of SNs during the pandemic emergency. Specifically, it intends to analyze (a) the use of SNs as a means of interaction in the face of the social containment imposed by the COVID-19 spreading, and (b) the factors (homophily, trust, loneliness, and emotional instability) that affect such use. An online survey with a sample of 194 Italian people was conducted. Structural equation modelling was used to estimate the model proposed. Results revealed that sense of belonging to SNs had a strong impact on search for social support and is, in turn, positively influenced by trust in SNs and homophily. Emotional instability also increased the search for social support. The study contributes both theoretically and empirically to the understanding of the role of SNs in influencing individual behavior. As the use of SNs continues to spread around the world, understanding why consumers rely in SNs and what gratifications they receive from them is undoubtedly of interest for both academics and practitioners.

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“…Likewise, Gruena, Talai, Osmonbekov and Czaplewskia (2006), suggested that customers realize the effects of eWOM on the customers' view of the product values and the likelihood to recommend the product, but does not affect the intention of consumer buying behaviour. Zhu, Li, Wang, He and Tian (2020) discovered that quality information from positive online surveys has a more significant effect on online purchase intentions.…”

Section: Literature Review Online Customer Review (Ocr)mentioning

confidence: 99%

Online Customer Shopping Behaviour: The Mediating Role of Online Perceived Risk

Yahya¹,

Hashim²,

Husin³

et al. 2020

Global Business Management Review (GBMR)

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The studies of online purchase intention have been done extensively throughout the world by testing many predictors. Due to the rapid growth of technological advances affecting internet users suggest other new predictors considered as an online purchase intention element. This study suggests customer review, online store image, and perceived online risk (an element of a mediating factor) as three main variables that drive customers to purchase online. A simple convenience sampling method was used to analyse the responses from online users via the online questionnaire web surveys. Multiple regressions and Sobel tests were used in this study to test the hypotheses. The result shows that online customer review and online store image have a positive relationship with the perceived risk online as well as perceived risk itself also has a positive relationship with online purchase intention. Consequently, in terms of mediating factors, perceived risk online is seen as a mediator for both online customer review and online store image with online purchase intention. Having said that, the study hopes that the findings would help boost the online retail industry as a contributor to the country's economic development.

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How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework

Cited by 147 publications

References 86 publications

Effects of Information Overload, Communication Overload, and Inequality on Digital Distrust: A Cyber-Violence Behavior Mechanism

Effects of Information Overload, Communication Overload, and Inequality on Digital Distrust: A Cyber-Violence Behavior Mechanism

The Role of Social Networks During the COVID-19 Lockdown: Real-Life Social Distancing Vs Virtual Interactions

Online Customer Shopping Behaviour: The Mediating Role of Online Perceived Risk

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