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Influencers’ vlogs have the potential to impact consumer behaviors through vlog-embedded corporate sponsorship and brand collaborations. However, even without brand involvement, vlogs can also “unintentionally” benefit influencers as a relationship-building tool. This study is designed to investigate the relationship between vlog-viewing and audiences’ purchase behaviors of influencer-recommended products through the impacts of influencer–follower interactions, perceived influencer credibility and parasocial relationships.

An influencer-disseminated online survey was conducted in collaboration with a YouTube celebrity among N = 948 of her 72.6 K subscribers. Statistical analysis was performed through structural equation modeling (SEM) on SPSS Amos.

SEM results indicated that the extent to which participants liked the vlogs had both a direct impact on their purchase behaviors and secondary impact through social media engagement, parasocial relationships and perceived influencer credibility.

The study expands current research and understanding of influencer marketing. Brands and social media content creators are advised to rethink vlogs as a creative genre for long-term brand–influencer collaborations and implicit social media endorsements.

Social media have become an increasingly important source for people to learn about politics and public affairs. The purpose of this study is to investigate the role of social media news sharing as a reasoning process of the O-S-R-O-R model and the moderation role of social media news performance on the association between news consumption and attitudinal changes.

A national survey was conducted in the US. The researcher recruited participants in the Qualtrics national panel by following the census adult demographic breakdown.

This study finds that social media news consumption on the US-China trade conflict is likely to lead Americans to change attitudes toward Chinese, and this relationship is mediated by social media news sharing. In addition, the indirect relationship via news sharing is found particularly strong among individuals who perceive social media news fair and balanced.

This study extends the literature by examining social media news engagement on the ongoing trade conflict between the US and China. It reveals that the impact of social media news consumption on people's attitudinal and behavioral changes depends on people's perceived news quality on these platforms. Theoretical contribution to the O-S-R-O-R model and practical implications to social media news are discussed in terms of the role that social media platforms play in attitude change.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0178

Influencer marketing is a newer interactive marketing model that has attracted the attention of scholars and marketers. The study aimed to examine the mediation role of influencer credibility (IC) and the moderation role of self-esteem in the effects of individuals' parasocial relationships (PSR) with YouTube influencers on their product attitudes (PATs) and purchase intentions (PIs).

The researchers used an online survey to test a sequential mediation model and moderation mediation models using Hayes PROCESS modeling.

The researchers revealed a sequential mediation model that IC and PAT mediate the association between PSR and PI. Individuals who perceived IC to be low were more likely to buy an endorsed product when their self-esteem got lower. When their self-esteem is low, individuals tend to purchase the endorsed products if they have stronger PSR with the influencers. However, they are less likely to buy the endorsed products when their self-esteem gets higher.

The study expands the dimensions of IC. The persuasive power of IC and influencer-user relationship was affected by individual differences, namely, self-esteem. Brands should pay attention to customers' personalities, motivations and preferences when designing strategies to market their products via social media.

As YouTubers began to create videos about their personal experience of using products, these video testimonials have become a powerful form of electronic word-of-mouth (eWOM). This study aims to investigate the mediating role of self-effect and third-person effect in the relationships between eWOM seeking and passing along YouTube product review videos (video-based eWOM – vWOM) as a specific form of eWOM.

The paper used a survey to interview a total of 282 respondents at a public university in the Midwest USA with about 18,000 students.

The results show that perceived third-person effect leads to sharing more positive vWOM, while perceived self-effect results in a high likelihood of passing along negative vWOM. The general eWOM consumption does not have a direct effect on the sharing of vWOM. In addition, the YouTube sharing habit contributes to sharing vWOM regardless of valence.

The results provide marketers’ insights on how to utilize the social media such as YouTube to improve the visibility of promotional brand messages. Sharing of positive vWOM is due to perceived third-person effect (presumed influence), but sharing negative vWOM is due to perceived self-effect. It also suggests marketers take immediate remedial measures to avoid spreading of negative reviews to other users because if viewers are persuaded to think it could happen to themselves as well, they will spread the video.

The paper has theoretical implications. It contributes to the third-person effect and presumed influence literature by exploring its role in spreading the word for products. It also fills the gap in effects of eWOM literature by examining the mediating role of the valence of video-based eWOM in the spread of eWOM.

The purpose of this paper is to measure the business value of IT (BVIT) and illustrate the relationship between IT practices and BVIT.

The paper uses a case study approach to collect the subject firm data over a period of one year. The data are about various IT systems used in the firm and their associated capital and operational cost components. The derived data are then compared with industry benchmarks.

The IT practices employed by the firm enable it to achieve a BVIT which is higher than the industry norm, from both strategic and operational perspectives.

In this study, a year’s worth of data from a single firm is considered. The temporal frame of the research data limits the generalization of the results. To improve the generalizability, data from many years and across many firms may be used.

The paper provides insights to managers to identify the measures of BVIT. Further, managers can make necessary interventions based on IT practices to derive IT capabilities which, in turn, impact the firm’s performance.

The contribution of the work is manifold: illustration of the relationship between IT practices and BVIT; illustration of a methodology to evaluate firm-level BVIT; and an approach to collect IT expenses – both capital and operational level.