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The purpose of this paper is to tend to further develop an understanding of information trustworthiness in the context of Wikipedia and examine the moderating effects of gender on the association between trustworthiness and intention to adopt Wikipedia information.

Based on a four-dimensional framework of information trustworthiness, the authors began the research by identifying Wikipedia as an application of online information so as to construct a model and develop an instrument based on this trustworthiness framework.

The results confirm that information accuracy, stability, and validity are significantly related to users’ intentions to adopt information from Wikipedia, but objectivity is not. Meanwhile, moderating role for gender on some of these effects is confirmed. Academic and practical implications are discussed.

Previous research considers the open-editing characteristics of Wikipedia as both strength and weakness; it allows for wide coverage of the information contributed by various users, but can also lead to a lack of trustworthiness. It has also been suggested that trustworthiness is perceived differently by males and females. Understanding how gender plays a role in differentiating the impact of trustworthiness on user intentions to adopt Wikipedia information could benefit both academics and practitioners.

This study aims to explore the trustworthiness of Wikipedia information in terms of accuracy, stability, objectivity and validity among university students along with their perceptions toward the quality of the information in Wikipedia.

This study used to use a quantitative research design based on the survey method. The questionnaire was designed with the help of literature followed by a pilot study to check its validity and reliability before data collection. A proportionate stratified sampling technique was used to collect data from students in the graduate program.

Data showed that the majority of the respondents used Wikipedia information regularly for both academic and leisure purposes. It is also noted that they usually did not edit/add content in Wikipedia entries, though they observed incomplete content in it. Findings revealed that among the four constructs of trustworthiness (accuracy, stability, validity and objectivity), respondents had certain reservations about the accuracy of Wikipedia information. They opined that content from Wikipedia is not stable and is susceptible to alternation. Nevertheless, they believed in the objectivity of Wikipedia information as the contents are verified by an editor/expert and this information is considered unbiased and impartial.

These findings may be helpful to fill the knowledge gap in the body of literature and to understand the accuracy.

The current study is the first one to analyze the trustworthiness of information in Wikipedia entries among university students in the context of a developing country.

The purpose of this study is to examine how subjective knowledge about fair trade products and the perceived trustworthiness of information about fair trade goods influence purchase intention and reported purchase behaviour across two product categories, namely, fashion and food.

Data were collected from an online survey with a sample of 1,616 consumers in four European countries, namely, Germany, Italy, Austria and the UK.

The results show that subjective knowledge moderates the positive relationship between intentions to purchase and reported purchase behaviour of fair trade products, however, the moderating role of perceived information trustworthiness was not significant. Furthermore, both the intention to purchase and reported purchase behaviour are significantly lower for fair trade fashion products than for fair trade food products.

This paper shows how fair trade consumption behaviour is mainly influenced by subjective knowledge about fair trade products. It reveals existing differences in both the buying intentions and reported purchase behaviour in different European markets.

This research broadens the understanding of consumers’ fair trade consumption behaviour across two different product categories and four different countries, with a focus on the interaction effect of consumers’ subjective knowledge and information trustworthiness.

The purpose of this paper is to propose a conceptual model to investigate the determinants of information retweeting in microblogging based on Heuristic‐Systematic Model.

Microblogging data about emergency events from Sina microblogging (http://weibo.com) are collected and analyzed with text mining technology. The proposed hypotheses are tested with logistic and multiple linear regressions.

The results show that source trustworthiness, source expertise, source attractiveness, and the number of multimedia have significant effects on the information retweeting. In addition, source expertise moderates the effects of user trustworthiness and content objectivity on the information retweeting in microblogging.

This study provides an in‐depth understanding of what makes information about emergency events in microblogging diffuse so rapidly. Based on these findings the emergency management organizations in China can apply the microblogging to spread useful information, and these findings also provide practical implications for microblogging system designers.

The primary value of this paper lies in providing a better understanding of information retweeting in microblogging based on Heuristic‐Systematic Model. Organizations that would like to adopt the microblogging platform in emergency situations to improve the ability of emergency response can benefit from the findings of this study.

The purpose of this paper is to investigate three information sources for their influence on trust and patronage intent toward an unmet financial services advisor. The sources were facial appearance, credentials and social information about the provider. Trust in an unmet provider is believed to be important because financial services are transitioning to an online customer interface.

In the two experiments, facial appearance (trustworthy versus less trustworthy), credentials (high versus low) and social information (cooperative versus less cooperative) were tested for their influence on cognitive trust, affective trust, patronage intent and amount of money to entrust to an unmet financial advisor.

In Study 1, both facial appearance and credentials significantly affected patronage intent. The effect of facial appearance was mediated through affective trust, and the effect of credentials was mediated through cognitive trust. In Study 2, both facial appearance and social information significantly affected patronage intent. Unexpectedly, respondents’ gender exhibited a highly significant main effect and interaction (ordinal) with the face cue for patronage intent.

The experimental context was restricted to an unmet financial advisor. Interaction with an actual provider would likely change the perception of affective trust. Also, all depicted and described advisors were men; the effect of provider gender was not investigated.

Findings indicate that a personal photo on a business card may either increase or decrease patronage intent. Conversely, communicating credential achievement or an evidence of civic engagement to prospective clients has a favorable effect on patronage intent.

The current body of empirical research regarding the impact of trust in the cybersecurity commitment of institutions on digital payment usage has focused solely on a macro-level analysis, overlooking the intricate dynamics between institutions' cybersecurity commitments and the trust levels of digital payment users. In light of this limitation, this study aims to offer a more comprehensive understanding of this complex relationship.

A case study was conducted on digital payment users in India through the critical realist lens. To gather data, interviews and focus group discussions were conducted with digital payment users from various regions of the country.

The citizen-centric outcomes of the national cybersecurity commitment (performance and responsiveness) are the most prominent and impactful trust indicators. These outcomes play a crucial role in shaping digital payment users' perception and trust in the cybersecurity commitment of public institutions. Individuals' value positions also influence trust judgments, as it is essential to recognize the value tensions that may arise due to security implementation and their congruence with citizens' values.

The findings of this study have significant implications for policymakers. They are potentially an artifact of the security and perception of digital payment users and the cultural uniqueness of digital payment users in India.

The study proposes a holistic understanding of the relationship between institutions' cybersecurity commitments and the trust levels of digital payment users. It offers a qualitative evaluation of how digital payment users perceive and construe efficient information security management implemented by public institutions.

Although user stickiness has been studied for several years in the field of live e-commerce, little attention has been paid to the effects of streamer attributes on user stickiness in this field. Rooted in the stimulus-organism-response (S-O-R) theory, this study investigated how streamer attributes influence user stickiness.

The authors obtained 496 valid samples from Chinese live e-commerce users and explored the formation of user stickiness using partial least squares-structural equation modeling (PLS-SEM). Artificial neural network (ANN) was used to capture linear and non-linear relationships and analyze the normalized importance ranking of significant variables, supplementing the PLS-SEM results.

The authors found that attractiveness and similarity positively impacted parasocial interaction (PSI). Expertise and trustworthiness positively impacted perceived information quality. Moreover, streamer-brand preference mediated the relationship between PSI and user stickiness, as well as the relationship between perceived information quality and user stickiness. Compared to PLS-SEM, the predictive ability of ANN was more robust. Further, the results of PLS-SEM and ANN both showed that attractiveness was the strongest predictor of user stickiness.

This study explained how streamer attributes affect user stickiness and provided a reference value for future research on user behavior in live e-commerce. The exploration of the linear and non-linear relationships between variables based on ANN supplements existing research. Moreover, the results of this study have implications for practitioners on how to improve user stickiness and contribute to the development of the livestreaming industry.

This study focused on the impact of misinformation on social networking sites. Through theorizing and integrating literature from interdisciplinary fields such as information behavior, communication and relationship management, this study explored how misinformation on Facebook influences users' trust, distrust and intensity of Facebook use.

This study employed quantitative survey research and collected panel data via an online professional survey platform. A total of 661 participants in the USA completed this study, and structural equation modeling (SEM) was used to test the theoretical model using Amos 20.

Based on data from an online questionnaire (N = 661) in the USA, results showed that information trustworthiness and elaboration, users' self-efficacy of detecting misinformation and prescriptive expectancy of the social media platform significantly predicted both trust and distrust toward Facebook, which in turn jointly influenced users' intensity of using this information system.

This study contributes to the growing body of literature on information and relationship management and digital communication from several important aspects. First, this study disclosed the underlying cognitive psychological and social processing of online misinformation and addressed the strategies for future system design and behavioral intervention of misinformation. Second, this study systematically examined both trust and distrust as cognitive and affective dimensions of the human mindsets, encompassed the different components of the online information behavior and enriched one’s understanding of how misinformation affected publics' perceptions of the information system where it appeared. Last but not least, this study advanced the relationship management literature and demonstrated that a trustful attitude exerted a stronger influence on the intensity of Facebook use than distrust did.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0130

This paper sought to examine the factors that influence intention to recommend, focussing on the extension of the theory of planned behaviour in halal tourism, with additional instruments such as halal safety and security, and trustworthiness of halal information.

Guided by a quantitative approach, cross-sectional data were collected using 394 Muslim diaspora tourists. The analysis technique used in this study is the partial least square structural equation modelling (PLS-SEM).

The results suggest that halal planned behaviour may account for the intention to recommend. Halal attitude, subjective norm, halal image, halal value, halal safety and security, and trustworthiness of halal information positively and significantly affect intention to recommend.

Muslim diaspora tourists are identified to have halal planned behaviour on intention to recommend. Hence, destination managers and practitioners are suggested to develop proactive halal products and services that appeal to tourists' intention to recommend.

This study has developed two new constructs: halal safety and security, and the trustworthiness of halal information grounded on the theory of planned behaviour in halal tourism. Specifically, the focus is on Muslim diasporic tourists' perspective in a non-Islamic context.

This research examines the underlying psychological process of customers' impulsive buying on social media through the lens of customer inspiration. Drawing on the customer inspiration theory, it identifies the factors influencing customer inspiration on social media from three perspectives: source characteristics, platform characteristics and personal characteristics, which subsequently lead to impulsive buying. Since the conceptualization of source credibility includes three mostly reported components: attractiveness, expertise and trustworthiness, it further contrasts the effects of three dimensions of source credibility on customer inspiration.

A structural equation model of customers' impulsive buying on social media was developed through the lens of customer inspiration. An online survey with 625 participants was conducted to test the hypotheses, and the partial least squares (PLS3) method was used.

This research found that source credibility, social presence and customer innovativeness are antecedents of customer inspiration on social media, which positively influence the inspired-by state of the customers, which impacts the inspired-to state and further leads to impulsive buying. By comparing the three dimensions of source credibility, the authors found that attractiveness and expertise positively affect the inspired-by state, while trustworthiness has no significant effect.

This research establishes the link between impulsive buying and customer inspiration, which provides a new psychological perspective to understand impulsive buying. In addition, it investigates the source characteristics of customer inspiration by comparing the effect of three dimensions of source credibility on customer inspiration, which provides the first evidence for connecting customer inspiration and source credibility.