Is the devil in the details? Construal-level effects on perceived usefulness of online reviews for experience services

Zhang, Zhe; Wang, Xinmeng; Wu, Ruiqi

doi:10.1016/j.elerap.2021.101033

Cited by 21 publications

(26 citation statements)

References 90 publications

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“…The finding that source credibility relates to an intention to engage with the online retail store community is new, while the impact of credibility on purchase intentions is consistent with previous research (Assaker, 2020;Kiran & Srivastava, 2020;Xu et al, 2020). Moreover, the study's results show that consumers' perceived usefulness significantly impacts an intention to engage with the online retail store community, which is also unique, while the impact on purchase intentions aligns with previous research (Kiran & Srivastava, 2020;Xu et al, 2020;Ventre & Kolbe, 2020;Zhang et al, 2021).…”

Section: Discussionsupporting

confidence: 89%

“…Zhang et al (2016) examined social commerce among Chinese consumers and found that website quality, trust, and eWOM influenced online purchase intentions with perceived ease of use and perceived usefulness moderating the relationship between website quality and purchase intentions. More recent studies have also confirmed a direct relationship between perceived usefulness and purchase intentions (Kiran & Srivastava, 2020;Xh et al, 2020;Ventre & Kolbe, 2020;Zhang et al, 2021). Xie et al (2020) found that, within social commerce, user satisfaction, IT self-efficacy, user relationship network structure, platform quality, perceived usefulness, and emotional attachment significantly impact users' intentions to adopt information.…”

Section: Source Credibilitymentioning

confidence: 87%

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Online Retail Store Community Engagement and Its Impact on Purchase Intentions in the Context of Online Reviews

Peters

Bodkin

2021

International Journal of Online Marketing

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Consumers want to engage with the retail store community in the shopping context. This study examines how consumers’ perceptions of source credibility and perceived usefulness of online reviews impact an intention to engage with the online retail store community and purchase intentions. The study also identifies differences when reviews are posted by customers versus store employees. Results show that the proposed relationships within the structural model are significant and reviews posted by store employees are seen as more credible, whereas reviews posted by other customers are perceived to be more useful. Theoretical and managerial implications are discussed.

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Section: Discussionsupporting

confidence: 89%

Section: Source Credibilitymentioning

confidence: 87%

Online Retail Store Community Engagement and Its Impact on Purchase Intentions in the Context of Online Reviews

Peters

Bodkin

2021

International Journal of Online Marketing

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“…For instance, individuals who process information more abstractly (vs. concretely) report greater perceived usefulness of content (Z. Zhang et al, 2021). Aligned with the earlier arguments, greater perceived usefulness would also increase flow.…”

Section: Hypothetical Distance Of Privacy Disclosure and Augmented Re...mentioning

confidence: 61%

“…Prior research reveals a stronger positive correlation between perceived usefulness and abstract processing versus that between perceived usefulness and concrete processing (Ho et al, 2015). For instance, individuals who process information more abstractly (vs. concretely) report greater perceived usefulness of content (Z. Zhang et al, 2021). Aligned with the earlier arguments, greater perceived usefulness would also increase flow.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

Cowan

Javornik

Jiang

2021

Psychology and Marketing

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Augmented reality face filters (e.g., Snapchat) are ubiquitous in today's market. Yet, we know little about the impact of individuals' concerns for their own and others' privacy and sharing biometric facial data while interacting with such augmented reality face filters. Our study aims to uncover whether privacy concerns affect responses toward augmented reality face filter apps, as well as the underlying mechanisms of this process, specifically perceived usefulness and flow. First, a survey study shows that individual perceptions of privacy concerns indirectly decrease use intentions and word‐of‐mouth via perceived usefulness and flow. Second, integrating construal level theory, we demonstrate in an experimental study that users report lower use intentions and word‐of‐mouth (again mediated through perceived usefulness and flow) when providing a concrete (vs. abstract) privacy policy. Additionally, we offer evidence for boundary effects and show that these patterns emerge only when users interacted with highly hedonic filters. The research demonstrates that privacy concerns related to use of augmented reality face filters indirectly affects future behavioral intentions and explains the phenomenon through lenses of the privacy paradox and construal level theory. By accounting for how people process information, the research evidence novel mechanisms for interrupting the privacy paradox.

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“…Finally, from the information receivers' perspective, Zhang et al (2021) examined how readers' construal levels influenced their perceived usefulness of online reviews. Further, Ruiz-Mafe et al (2020) analyzed the intention of TripAdvisor users to follow its advice Online community advice through the interrelationships between the cognitive cues of online reviews (i.e.…”

Section: Introductionmentioning

confidence: 99%

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

Shaker

Mostafa

Elseidi

2021

EJMBE

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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.

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Is the devil in the details? Construal-level effects on perceived usefulness of online reviews for experience services

Cited by 21 publications

References 90 publications

Online Retail Store Community Engagement and Its Impact on Purchase Intentions in the Context of Online Reviews

Online Retail Store Community Engagement and Its Impact on Purchase Intentions in the Context of Online Reviews

Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

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

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