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Moral transgressions committed by person-brands can negatively impact consumers through the transgression’s diagnosticity (severity, centrality and consistency). This paper aims to test how a transgression’s centrality and consistency impact important consumer perceptions and behavioral intentions toward a person-brand, holding constant the transgression in question. These outcomes are crucial for person-brands to understand how to minimize and manage the impact of a given transgression.

This paper uses three online consumer experiments to manipulate transgression diagnosticity via centrality and consistency and identifies the resulting impact on consumer-brand identification, trustworthiness and consumer digital engagement intentions through PROCESS models.

High-diagnosticity transgressions lower consumer digital engagement intentions regarding the person-brand and their endorsed products. This effect is serially mediated by consumer-brand identification, as predicted by social identity theory, and by perceived trustworthiness of the person-brand.

Person-brands should emphasize the nondiagnostic nature of any transgressions in which they are involved, including a lack of centrality and consistency with their brand, and guard against the appearance of diagnostic transgressions.

This paper shows that transgression diagnosticity impacts consumer engagement through the pathway of consumer-brand identification and trustworthiness. It also manipulates aspects of diagnosticity that can be influenced by the person-brand (centrality and consistency) while holding the transgression constant. As such, this paper extends the literature on transgressions, on person-branding strategy, and on social identity theory.

Consumers are assumed to engage in external information search only after exhausting their internal information sources. Guided by the accessibility/diagnosticity and ease-of-retrieval frameworks, and the elaboration likelihood model, the current study investigates this phenomenon.

To test the relationships between internal information accessibility/diagnosticity and the importance of external search, and the moderating role of involvement in these relationships, 308 responses were collected on Amazon MTurk. Then, structural equation modeling was employed to analyze the data.

The analyses showed that while accessibility and diagnosticity of internal information have an impact on external information search, involvement with the product class has a consequential moderating effect on these relationships. In particular, in the low-involvement group, only the diagnosticity of internal information had a negative effect on external information search. On the contrary, in the high-involvement group, only accessibility of internal information had a negative effect.

These findings highlight the possibility of drawing erroneous conclusions resulting from not incorporating involvement, in conjunction with information accessibility and diagnosticity, in the study of the consumer external information search behavior.

The findings also imply that if practitioners aim to prime consumers to engage in external information search, they need to take into account that the effects of internal information's accessibility and diagnosticity on consumers' external search behavior may be different depending on their levels of involvement.

This study's results showed that without considering the moderating effect of involvement, spurious conclusions may be made about the relationships between accessibility and diagnosticity of internal and external information importance. This finding may explain the discrepancy between the accessibility/diagnosticity and ease-of-retrieval frameworks, thus enriching the literature.

This study aims to evaluate the impact of product complexity, product involvement and product diagnosticity on shaping webrooming behavior in emerging fashion retailing, with product knowledge acting as a moderator and information processing, and uncertainty reduction theory contributing as the theoretical foundation.

In total, 371 responses were collected from fashionable consumers who had recently purchased fashion products via a purposive sampling approach, and the data were analyzed using structural equation modeling and PROCESS macro.

The results illustrated that product complexity had a significant impact on product involvement and product diagnosticity, and consumer attitude. Attitude, in turn, had a favorable impact on webrooming behavior. Likewise, product diagnosticity and product involvement had a positive mediating association between product complexity and consumer attitude. Product knowledge significantly moderated the relationship between product complexity, product involvement, and consumer attitude, but it exhibited a negative moderation association between product complexity, product diagnosticity, and attitude.

This study represents a novel research endeavor, shedding light on webrooming from the perspective of product attributes in fashion retailing. It contributes to the growing body of literature on fashion marketing by analyzing the rapidly evolving phenomena of webrooming behavior within the multichannel context of the fashion industry.

This study examined how people assess health information from AI and improve their diagnostic ability to identify health misinformation. The proposed model was designed to test a cognitive heuristic theory in misinformation discernment.

We proposed the heuristic-systematic model to assess health misinformation processing in the algorithmic context. Using the Analysis of Moment Structure (AMOS) 26 software, we tested fairness/transparency/accountability (FAccT) as constructs that influence the heuristic evaluation and systematic discernment of misinformation by users. To test moderating and mediating effects, PROCESS Macro Model 4 was used.

The effect of AI-generated misinformation on people’s perceptions of the veracity of health information may differ according to whether they process misinformation heuristically or systematically. Heuristic processing is significantly associated with the diagnosticity of misinformation. There is a greater chance that misinformation will be correctly diagnosed and checked, if misinformation aligns with users’ heuristics or is validated by the diagnosticity they perceive.

When exposed to misinformation through algorithmic recommendations, users’ perceived diagnosticity of misinformation can be predicted accurately from their understanding of normative values. This perceived diagnosticity would then positively influence the accuracy and credibility of the misinformation.

Perceived diagnosticity exerts a key role in fostering misinformation literacy, implying that improving people’s perceptions of misinformation and AI features is an efficient way to change their misinformation behavior.

Although there is broad agreement on the need to control and combat health misinformation, the magnitude of this problem remains unknown. It is essential to understand both users’ cognitive processes when it comes to identifying health misinformation and the diffusion mechanism from which such misinformation is framed and subsequently spread.

The mechanisms through which users process and spread misinformation have remained open-ended questions. This study provides theoretical insights and relevant recommendations that can make users and firms/institutions alike more resilient in protecting themselves from the detrimental impact of misinformation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0167

This study aims to propose a model that delineated the diffusion process of product-harm misinformation on social media. Drawing on theoretical insights from cue diagnosticity and corporate associations, the proposed model mapped out how consumers' information skepticism and perceived content credibility influence their perceived diagnosticity of the product-harm misinformation and corporate ability (CA) associations with the company being impacted, which in turn influenced their trust toward the company and negative word-of-mouth (NWOM) intention.

A survey was conducted with 504 US consumers to empirically test the proposed model. Following the survey, in-depth interviews were conducted with 11 communication professionals regarding the applicability of the model.

When exposed to product-harm misinformation on social media, consumers' perceived diagnosticity of misinformation was negatively impacted by their information skepticism and positively impacted by perceived content credibility of misinformation. Perceived diagnosticity of product-harm misinformation negatively impacted consumers' CA associations, which then led to decreased trust and increased NWOM intention. Findings from the interviews further supported the diffusion process and provided insights on strategies to combat product-harm misinformation. Strategies shared by the interviewees included preparedness and social listening, proactive outreach and building strong CA associations as preventative measures.

This study incorporates the theoretical frameworks of cue diagnosticity and corporate associations into the scholarship of misinformation and specifically addresses the unique diffusion process of product-harm misinformation on social media. This study provides insights and tangible recommendations for communication professionals to combat product-harm misinformation.

The purpose of this paper is to examine the influence of the presence and type of product symbol on online users' information search behaviour. Adopting an information processing perspective, it gathers objective and self‐reported measures and investigates the relationships between them.

An experiment was conducted with a sample of 174 individuals. The presence of a symbol recommending the product or signalling its popularity within the website was manipulated. Participants' need for cognition was measured.

The presence of a product symbol positively influenced users' cognitive elaboration and perceptions of information diagnosticity. Significant differences of situational and individual characteristics, related to the type of symbol and the users' motivation to process information, were detected.

Dual information processing theories represent an adequate framework to analyse the ways in which online users perceive and process product symbols, and how they incorporate them into their diagnosticity perceptions. The presence and type of product symbols operate through different mechanisms depending on the user's need for cognition. Web designers should consider displaying these cues in online product presentations, given their potential to improve the quality of consumers' thoughts and diagnosticity perceptions.

This is one of the first studies which examines how product symbols affect online users' information processing and evaluations. The paper offers a complete view of online information search behaviour by gathering users' objective and self‐reported measures. In addition the paper stresses the importance of contextual variables related to the messages and individual's characteristics.

In the online marketing context, virtual reality (VR) has been used to display products and shopping environment, which effectively enhances the consumer experience. VR technology can not only recreate scenes similar to the real world (virtual authenticity, VA) but also create fictitious and desirable scenes that do not exist in the real world (virtual ideality, VI). The differences between VA and VI in influencing consumers' responses have not been fully understood. In addition, social signals have appeared in VR apps. However, the role of social signals in a VR context has rarely been studied. To fill the gaps in the literature, this study investigates the roles of VA and VI in shaping consumers' responses, as well as whether and how their effectiveness in shaping consumers' responses is influenced by social signals.

A VR real estate service platform was selected as the experimental platform, and two experiments were conducted to test the hypotheses. The ANOVAs and regressions were used for data analysis.

Results show that VA leads to a higher level of perceived diagnosticity than VI, whereas VI leads to a higher level of inspiration than VA; perceived diagnosticity and inspiration positively affect visit intention. Furthermore, the relationship between consumers' perceived diagnosticity, inspiration and visit intention is moderated by the presence of social signals.

The study revealed the differences between VA and VI in shaping consumers' responses, as well as the effect of social signals in VR environment, which provide a new perspective for future VR research in the context of interactive marketing.

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.

This study clarifies the integration-related effects of photos and text on consumer information processing and decision-making outcomes.

The authors conducted an experiment by recruiting 162 workers from Amazon Mechanical Turk. These participants were randomly assigned based on a full factorial, between-subject design with four possible conditions (2 [separate vs alternate layout] × 2 [photo-first vs text-first sequence]). The authors conducted a two-way analysis of variance to test the main effects and the interaction effects of layout and sequence on perceived diagnosticity, pleasantness feelings and attitudes toward products or services reviewed through electronic word-of-mouth (e-WOM); the authors also applied Process Models 4 and 8 to explore the mechanism of these effects.

The experimental results reveal that text-first sequence is generally more effective than photo-first sequence in enhancing perceived diagnosticity and attitudes toward products or services. However, when a photo is displayed first, a separate layout is more effective than an alternate layout in enhancing perceived diagnosticity and attitudes. By contrast, regardless of the sequence, an alternate layout is more effective than a separate layout in inducing pleasantness feeling.

Future studies should further explore photo-based e-WOM, including other photo characteristics (e.g. visual quality, quantity and content).

This study provides guidelines for businesses to use photos on social media to achieve strategic goals.

This study addresses an identified need; that is, how the presentation of photo cues (e.g. layout and sequence) influences consumer decisions.

Consumers often face a dilemma regarding the purchase decisions of traditional handloom apparel because of the non-availability of information cues that would enable them to assess the quality of the product. The spread of counterfeit products in the market adds to information asymmetry. The study aims to examine factors influencing purchase intention of traditional handloom apparel that have Geographical Indication (GI) certification, which follows the certification procedure specified by the World Intellectual Property Organisation (WIPO).

A survey was conducted among 202 traditional handloom apparel consumers in India and the data was analysed using structural equation modelling. The purchase intention of GI certified handloom apparels was examined as the dependent variable, whereas quality consciousness, product diagnosticity, perceived information asymmetry were placed as independent variables. The mediating role of perceived quality and product trust in the relation between perceived information asymmetry and purchase intention was also looked into.

Results reveal that quality consciousness positively influences product diagnosticity (facilitated by the GI label certification) which in turn reduces perceived information asymmetry. Further, a reduction in perceived information asymmetry was found to increase the purchase intention of traditional handloom apparel, fully mediated by the perceived quality and product trust.

The customers who are facing a dearth of information while making purchase of traditional handlooms will be benefitted from the GI certification label which provides authenticity regarding product attributes confirming quality. Further, the study adds to the theory by establishing the relation between quality consciousness and perceived information asymmetry.

The findings imply that GI handloom apparel sellers should design marketing strategies that would project GI certification labels for traditional handloom apparel to effectively communicate product quality attributes, thus enhance product diagnosticity reducing information asymmetry. While organic certification for agricultural products is done at the individual producer’s level, GI certification is done under the producer’s collective label. Further, studies may be extended to agricultural products (Darjeeling tea, Alphonso mangoes, etc.), food items (rasgulla, Thirupathi laddoo, etc.) and handicrafts (Aranmula Mirror, Payyannur pavithra ring) that have acquired GI label in India. GI certification is adopted worldwide and studies may be extended to such products also [example Parma ham (Italy), Hessian wine (Germany)].

Empirical research on determinants of consumer purchase intentions of GI certified traditional handloom apparel is a novel attempt done in the context of a developing country such as India. The study brings out the importance of the GI certification label envisaged by the WIPO, which can serve as a tool for reducing uncertainties faced by consumer in framing purchasing intentions. This can be extended to any product type such as agricultural, food products and handicrafts that has acquired GI certifications in different countries. The study revealed that product diagnosticity (through GI certification) could reduce perceived information asymmetry that leads the consumer to the perception of quality and product trust which results in the purchase intention of traditional handloom apparel. The outcomes of the study can be instrumental in designing marketing strategies for capturing market share.