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The purpose of this paper is to apply trust perspective and attachment theory and determined that relational embeddedness, anxiety attachment, and avoidance attachment are major factors influencing the trust of tenants in owners/developers of shopping centers. The authors also examined whether tenants transfer this trust to new shopping center developers and the consequent effect on relational performance.

This research was empirically based on primary data collected from new shopping center developers and the consequent effect on relational performance. Structure equation modeling was employed to verify and validate the research model.

Data collected from 250 shopping center tenants were analyzed, and the findings indicate that relational embeddedness, anxiety attachment, and avoidance attachment positively affect the trust of store tenants in the owners or developers of shopping centers. Furthermore, the authors determined that trust in existing shopping center developers was transferred to new shopping center developers, which consequently enhanced relational performance.

The findings contribute to trust transfer research and provide actionable guidelines to organizations intending to provide intermediary business services.

This study aims to examine the moderating role of private label product type (organic vs non-organic) on the relationships between trust transfer, price fairness, perceived value and brand loyalty.

The empirical data were gathered with the structured questionnaire from two groups of respondents who had previously purchased organic and conventional private label products. The direct, mediating and moderating effects were analysed with structural equation modelling.

The findings confirmed the trust transfer between the retail store and private label brand. The results revealed that both store trust and trust in private label brand positively influence price fairness and which, in turn, elicits higher perceived value. Perceived value was also found to influence private label brand loyalty. The multi-group analyses revealed that the magnitude of the trust transfer was accentuated by organic food private label. Furthermore, the relation between trust in private label brand, price fairness and perceived value was also greater in organic food private label.

This study utilized the trust transfer theory and equity theory as a theoretical foundation to provide novel insights into the moderating influence of private label product type on the relationships between the antecedents of private label brand loyalty. The results of the research can help retailers to develop successful private label brand marketing strategies.

This study aims to examine the mechanisms underlying social media commerce by investigating the interplay between platforms, people and information. Drawing upon trust transfer theory, the research model proposes that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing, ultimately influencing purchase intention.

The research design used in this study was a quantitative approach using a cross-sectional survey method. The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses.

The findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention.

The limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field.

The findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape.

The social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. These insights provide valuable guidance for practitioners to navigate the competitive landscape of social media commerce and enhance their chances of success.

The originality of this research lies in its application of trust transfer theory to investigate the mechanisms driving social media commerce. By examining the interplay between platform, people and information, the study specifically focuses on the role of the platform’s information provision in enhancing information credibility and its impact on information-related responses and purchase intentions. This study extends the understanding of the trust transfer mechanism between customers and sellers/brands in customer-to-customer social commerce by emphasizing the importance of effective messaging and information credibility in shaping consumer behavior. The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.

The purpose of this paper is to investigate the nature of social commerce trust, and how it impacts company trust and electronic word of mouth (eWOM) intention based on trust transfer theory. The authors also examine how customers’ prior transaction experience could impact their social commerce trust development and the trust transfer process.

The proposed research model is empirically examined using a survey method consisting of 375 users of a social commerce web site (SCW). The statistical analysis applies a method based on variance using partial least squares.

The results confirm positive impacts of social commerce trust on company trust, and their subsequent influences on consumers’ eWOM intention. Also, consumers’ prior experience is found to moderate the trust transfer process from information-based social commerce trust to company trust.

The present study is one of the first few studies that attempts to explain trust development and transfer with SCWs with a theoretical foundation as well as examine the role of consumers’ prior experience during trust transfer. It provides practical guidance for the improvement of trust and eWOM in social commerce.

The purpose of this paper is to investigate the mechanism of building trust during the transition from online payment to mobile payment, as well as to examine the effect of trust on the satisfaction and continuance intention of mobile payment users. Based on trust transfer theory, this study proposes that trust in online payment (i.e. trust in source) and two source-target relationship factors, namely, perceived similarity and entitativity, affect trust in mobile payment (i.e. trust in target). In turn, the resulting trust influences user satisfaction and continuance intention toward mobile payment in an online-mobile payment context.

The model was empirically tested on data collected from 219 mobile payment users of a famous payment enterprise in China.

The results indicated that the trust transfer process positively influences the continuance intention of mobile payment through satisfaction. Satisfaction is an important factor affecting continuance intention. Moreover, trust in online payment, perceived similarity, and perceived entitativity between online and mobile payments can positively influence trust in mobile payment.

This study investigates the post-adoption usage of mobile payment from the trust transfer perspective. It focuses on the trust-building process and emphasizes the importance of trust on the continuance intention toward mobile payment in an online-mobile payment context.

On Instagram, a verified badge (a blue checkmark) is used to confirm the authenticity of influencers' accounts for consumers. Yet, it is unclear whether followers trust the badge or are influenced by the influencer's large following. This research aims to investigate the impact of verified badges on followers' trust and behavioral intentions.

This research conducts three experiments to investigate the impact of the verified badge on consumer attitudes and behavioral intentions, recruiting participants from freelance recruiting website in all three experiments.

The results show that a verified badge can sequentially influence consumer trust, attitude and sharing intentions. Furthermore, the impact of the verified badge on trust is more pronounced among micro-influencers as opposed to macro-influencers, and it can mitigate the negative attitude toward commercial postings.

Based on trust transfer theory, this research is a pioneer in investigating the effectiveness of verified badges on social media. These findings contribute to the field of influencer marketing by considering influencers' characteristics and the commercial intent of postings as moderators. Additionally, the results offer managerial insights for developing influencer marketing strategies.

Interpersonal interaction can influence consumers’ purchase intention in social commerce (s-commerce). This paper aims to identify interpersonal interaction factors as well as the mediating effect of relationship quality between interpersonal interaction factors and consumers’ purchase intention in s-commerce.

This study explores new dimensions of interpersonal interaction in s-commerce by integrating interaction between consumers and online vendors and that between consumers and online recommenders in s-commerce. An online questionnaire was used to collect the data, and partial least squares structural equation modeling (PLS-SEM) was employed for data analysis.

The results indicate that interpersonal interaction factors of both online vendors and online recommenders positively affect swift guanxi and initial trust between consumers and online vendors. Swift guanxi and initial trust positively affect consumers’ purchase intention. Initial trust partially mediates between interpersonal interaction factors and purchase intention while swift guanxi does not mediate between perceived similarity of online recommenders and purchase intention.

The findings can be used to guide vendors in s-commerce platforms to make good use of platform features to improve interpersonal interaction. Meanwhile, s-commerce platforms should be enhanced with efficient interaction tools to help cultivate relationship quality between consumers and online vendors.

This study combines social exchange theory, trust transfer theory and relationship quality theory to investigate the factors that influence swift guanxi and initial trust between consumers and online vendors, which extends the study of interpersonal interaction and enriches the dimensions of relationship quality in the context of s-commerce.

Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions.

Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data.

The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust.

This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.

This study investigates augmented reality (AR) retailing and attempts to develop a profound understanding of consumer decision-making processes in AR-enabled e-retailing.

The study is grounded in rich informational cues and information processing mechanisms by incorporating the elaboration likelihood model (ELM) and trust transfer theory. This study employs a mixed analytic method that incorporates structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to provide a complete picture of individual information process mechanisms in AR retailing under the tenet of ELM.

The SEM analysis results confirm the relationships between the central and peripheral route factors, information processing outcomes and eventual behavioral intentions. Moreover, all configurations revealed by the fsQCA include both central and peripheral factors. Hence, the dual routes proposed in the ELM are verified by using two distinct analytical approaches.

This study is pioneering in validating and contextualizing ELM theory in AR retailing. In addition, this study offers a methodological paradigm by demonstrating the application of multi-analysis in exploring consumers’ information process mechanisms in AR retailing, which offers a holistic and comprehensive view to understand consumers’ decision-making mechanisms.

A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to identify the factors affecting consumers' continuance intention and sharing intention toward the FDA in the USA and Canada using an integrated framework built using trust transfer theory and a variety of constructs.

The authors collected data/inputs from 476 respondents in the USA and Canada who had used FDAs in the past and analyzed them using the structural equation modeling technique.

The results indicate that trust in FDA, trust in the user community and commitment affect continuance intention and sharing intention. Interestingly, trust in the seller does not influence commitment, continuance intention and sharing intention. Additionally, the trust disposition and reputation of the FDA play an important role in building trust in FDA.

The present study combines the trust transfer theory with various important constructs such as commitment, trust disposition and reputation of the FDA to build an integrated framework to elucidate the continuance intention and sharing intention toward FDAs.

This study facilitates the FDA providers to understand how trust disposition, the reputation of the FDA and trust in the Internet build trust among FDA consumers. The study also helps them to fine-tune their trust-building strategy by considering several trust targets. It further enables them to appreciate how commitment results in continuance intention and sharing intention toward FDA.

It is an original study investigating the role of various constructs and trust transfer theory in shaping the consumers' continuance intention and sharing intention toward the FDA.