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The goal of this study is to investigate the relationships among brand attachment, online source credibility, and severity of negative online information on perceived negative change in brand evaluation and perceived brand risk.

A 2×2×2 experiment was conducted to explore the effects of brand attachment (low or high), online source credibility (low or high), and online information severity (low or high) on perceived negative change in brand evaluation and perceived brand risk.

The results showed that the severity of negative online information affects perceived negative change in brand evaluation and perceived brand risk significantly. However brand attachment can reduce the effects of negative online information on perceived negative change in brand evaluation and perceived brand risk significantly. The results also showed that the effect of the severity of negative online information on perceived negative change in brand evaluation and perceived brand risk is moderated by online source credibility.

In addition to the main effects in the proposed research model, it is the first study to explore the moderating effects of brand attachment and online source credibility on the relationship between negative online information and perceived negative change in brand evaluation and perceived brand risk.

This study aims to investigate if different types of negative electronic word-of-mouth (eWOM) have various negative effects on the attitude of the consumer toward a product (Laptop) and whether this newfound attitude remains unaffected by the subsequent influence of positive eWOM.

A quantitative study in Germany was conducted. In the two-part experimental setting, first, a factorial repeated-measures between-subjects design was used in which the types of negative eWOM have been manipulated. The second part is characterized by a mixed between–within subjects design to test the durability of attitudinal changes.

The results demonstrate that destructive and ethical eWOM only provoke a small decline in consumer attitude compared to functional product criticism. Furthermore, the examination shows that renewed positive eWOM can improve the attitude, whereas ethical criticism is the most difficult to correct.

The study views negative eWOM differentiated. Researchers could adopt this approach by analyzing online communication more precisely. Ambivalent relationships between negative eWOM and their outcomes can be explained.

The findings lessen the fear of permanent loss of brand reputation caused by negative reviews. The harmful effects on the attitude can be compensated through targeted marketing management actions. The study shows which content companies need to focus on.

Previous literature has predominantly overlooked the complex nature of negative eWOM. Therefore, the study provides first empirical results about the divergent effect of different content types of negative eWOM on consumer attitude toward a product. Additionally, the durability of consumer negativity could be measured over time.

Despite the prevalent use of professional status and service feedback in online healthcare markets, the potential interaction relationship between two types of information is still unknown. This study used the signaling theory to examine the substitute relationship between professional status and service feedback in patients' doctor choice, as well as the moderating effect of illness severity.

To test the paper's hypotheses, we constructed a panel data model using 418 doctors' data collected over a period of six months from an online healthcare market in China. Then, according to the results of the Hausman test, we estimated a fixed-effects model of patients' choice in online healthcare markets.

The empirical results showed that the effect of a doctor's professional status and service feedback on a patient's doctor choice was substitutable. Moreover, patients' illness severity played a moderating role, in that the influence of professional status on a patient with high-severity illness was higher than that on a patient with low-severity illness, whereas the influence of service feedback on a patient with low-severity illness was higher than that of a patient with high-severity illness. In addition, we found that illness severity negatively moderated the substitute relationship between professional status and service feedback on a patient's choice.

These findings not only contribute to signaling theory and research on online healthcare markets, but also help us understand the importance of professional status and service feedback on a patient's choice when seeking a doctor online.

Given the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.

Drawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.

The results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.

This study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

Health-related online fake news (HOFN) has become a major social problem. HOFN can lead to the spread of ineffective and even harmful remedies. The study aims to understand Internet users' responses to HOFN during the coronavirus (COVID-19) pandemic using the protective action decision model (PADM).

The authors collected pandemic severity data (regional number of confirmed cases) from government websites of the USA and China (Studies 1 and 2), search behavior from Google and Baidu search engines (Studies 1 and 2) and data regarding trust in two online fake news stories from two national surveys (Studies 2 and 3). All data were analyzed using a multi-level linear model.

The research detected negative time-lagged relationships between pandemic severity and regional HOFN search behavior by three actual fake news stories from the USA and China (Study 1). Importantly, trust in HOFN served as a mediator in the time-lagged relationship between pandemic severity and search behavior (Study 2). Additionally, the relationship between pandemic severity and trust in HOFN varied according to individuals' perceived control (Study 3).

The authors' results underscore the important role of PADM in understanding Internet users' trust in and search for HOFN. When people trust HOFN, they may seek more information to implement further protective actions. Importantly, it appears that trust in HOFN varies with environmental cues (regional pandemic severity) and with individuals' perceived control, providing insight into developing coping strategies during a pandemic.

The purpose of this paper is to help understand consumer acceptance of online health information services by integrating the health belief model and extended valence framework.

A laboratory-based, experimental-scenarios research design is used to collect data, and the structural equation modeling technique is used to test the research model.

The model explains 47.6 percent of the variance in intentions to use online health information services. Trust appeared to have the strongest effect on acceptance. Perceived risk also had a significant impact on acceptance. Furthermore, health belief variables are confirmed as important factors for consumer acceptance. Self-efficacy was found to moderate the effect of perceived severity on acceptance.

This study helped identify the relative salience of the health belief model and extended valence framework in consumer acceptance of online health information services.

This study can help practitioners better understand the development of trust and the profiles of consumers who may browse their sites. When online health service providers promote their information to encourage potential online health information seekers, they should use countermeasures against risk perceptions.

This study attempted to extend the valence framework to the non-commercial service context. Moreover, health beliefs and the valence framework are two fundamental aspects that health information seekers consider when making decisions about online health services.

The Internet is used as a tool to seek health information by individuals. Mental health concerns are the high prevalence of the novel coronavirus disease 2019 (COVID-19) and preventive steps are required to curb the illness. Therefore, to gain more insight into health concerns, it is now a common practice to seek health information on the Internet. This study propose an integrated theoretical model to explore the relationship between COVID-19 protocols and perceived online trust with online health information seeking intention (OHISI) and a moderating effect of perceived severity and perceived urgency.

Data are collected from 325 athletes in the category of individual and team sports through an online survey in a Likert-scale questionnaire. The analysis is performed with a quantitative methodology.

The study reveals the bright side of online health information (OHI), which brings athletes together and has played out with virtual happy hours, meetings and events. The bright side of OHI reflects social, cultural, technological and economic benefits. An OHI chatbot offers bright personalised side information to the individual seeker, which is more convenient and efficient than human capabilities.

The pivotal contribution is the integrated theoretical framework that is derived from multidisciplinary literature to capture the complexity of OHI. Also, it conceptualises the constructs in the context of OHI and COVID-19.

Although online health communities (OHCs) and online patient reviews can help to eliminate health information asymmetry and improve patients' health management, how patients write online reviews within OHCs is poorly understood. Thus, it is very necessary to determine the factors influencing patients' online review behavior in OHCs, including the emotional response and reviewing effort.

Based on expectation-disconfirmation theory, this study proposes a theoretical model to analyze the effects of service quality perception (i.e. outcome quality and process quality perceptions) and disconfirmation (i.e. outcome quality and process quality disconfirmations) on patients' emotional response and reviewing effort. The authors test the research model by using empirical data collected from a popular Chinese OHC and applying ordinary least squares (OLS) regression and zero-truncated negative binomial (ZTNB) regression models.

Both service quality perception and disconfirmation have a positive effect on patients' positive emotional intensity in textual reviews, and disease severity enhances these relationships of process quality. Moreover, there is an asymmetric U-shaped relationship among service quality perception, disconfirmation and reviewing effort. Patients who perceive low service quality have higher reviewing effort, while service quality disconfirmation has the opposite relationship. Specifically, patients' effort in writing textual reviews is lowest when perceived outcome quality is 3.5 (on a five-point scale), perceived process quality is 4 or outcome quality and process quality disconfirmations are −1.

This study is the first to examine patients' online review behavior and its motivations and contributes to the literature on online reviews and service quality. In addition, the findings of this study have important management implications for service providers and OHC managers.

The purpose of the paper is to examine the conditional role of webcare as a service failure recovery strategy on customers’ hotel booking intentions in presence of different levels of observed severity and review agreement. Furthermore, the study also examines the mechanism through which webcare can shape the adverse effect of observed severity and review agreement on hotel booking intentions.

A 2 (severity: high or low) × 2 (agreement: high or low) × 2 (webcare: webcare or no webcare) between-subject experimental design was conducted to collect responses. Analyses of variance and moderated mediation analysis were performed to analyze the study data.

Prospective customers who observed high severe service failure from a review reported less booking intention. Further, customers’ observed agreement strengthened these behaviors, i.e. customers who are exposed to high severe service failure in high-agreement condition reported low booking intention, as compared to those who exposed to low review agreement condition. Furthermore, results supported the fact that use of appropriate webcare plays a significant role to shape or mitigate the negative effect of severity and agreement on hotel booking intentions via perceived trust.

This is the first in its stream of studies that examined how webcare can be used to tackle the adverse effects of observed severity and agreement, so that perceived trust would be formed to create hotel booking intention.

Inaccurate product information on retail websites lead to dissatisfied customers and profit losses. Yet, the effects of product information failures (PIFs) remain under-explored, with the mobile commerce channel commonly overlooked. This paper aims (1) to investigate the negative effects of PIFs on shoppers' attitudes and behaviours in a mobile context. The authors further (2) evaluate the impacts of the cause and duration of a PIF, changes of expectations towards the retailer after a PIF occurred and how previous mobile shopping experience in general decreases the effects of PIFs.

The authors conducted a scenario-based experiment with a one-factorial between-subjects design. The six most common PIFs of an international leading online fashion retailer are operationalized and tested against a control group. The final sample consists out of 758 mobile shoppers from the UK.

The results demonstrate that the perceived severity of PIFs based on showing customers incorrect information is higher when key information is lacking. Further, when the cause of a PIF is attributed to the retailer, it results in higher recovery expectations towards them. The results also reveal that respondents who have shopped mobile before perceive PIFs as less severe than inexperienced ones.

This research expands the online service failure literature by examining PIFs and its effects in the specific context of mobile commerce. The authors also provide recommendations for a better management of PIFs like the incorporation of PIFs information into reporting packs.