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Transference-based trust (TBT) via referral sources is a cognitive process where trust in third-party information about an individual transfers to trust in the individual. TBT via referral sources can have significant effects on early trust development in a virtual team (VT). This study aims to examine the potential influence of Hofstede’s (1980) cultural variables and two proposed combinations of these cultural variables on early trust development in VT, including the effects of referral source.

This study adopted multigroup analysis partial least squares structural modeling to examine potential cultural differences in the responses of 357 university students from 51 different countries to understand early trust development in VT.

TBT via referral sources as in interpersonal construct has a positive, direct impact on early trust development. TBT mediated the individual and organizational model constructs. There were significant differences in the high/low values of 3 of the 56 tested cultural dimensions.

Reaffirmed the validity of cognitive-based trust models in understanding early trust development in VTs TBT as an interpersonal construct and has a significant influence on early trust development in VTs. TBT via referral sources mediated the individual and organizational constructs of the model. There were significant differences in the high/low measures of three cultural dimensions (i.e. IV, M and the combination of IV-M-LT) in the relationship of early trusting beliefs to early trusting intensions.

To positively influence interpersonal and organizational aspects of trust development, managers should ensure that the early phases of VTs, before actual implementation begins, are well organized. Managers could make VT members fully aware of how referral sources can influence early trust development. Managers could encourage individuals to have open access to relevant social media accounts for other VT members and encourage individuals to research referral sources on other VTs members. The implication for managers of culturally diverse VT is that the development of early trust is largely by individual choice, rather than differences in national culture.

People need to maintain and actively manage their online presence, ensuring that online information about them is accurate and updated. Referral sources could help VT members learn about one another, which might in turn help foster early trust in their online teams.

Although some studies have found significant cultural differences in early trust development, other studies, including a meta-analysis of 43 studies, found no significant cultural differences in early trust development. This study confirmed the results of the meta-analysis.

Although the impacts of trust on information disclosure have been well recognized, the trust building mechanisms in social media are still underexplored. To fill this gap, the purpose of this paper is to explore two trust building mechanisms, namely, institution-based and transference-based trust building and identify how these two mechanisms vary across gender.

An online survey was conducted to collect data. The partial least squares method was used to examine the relationships among regulatory effectiveness, three trusting perceptions and disclosure intention. A cross-group path coefficient comparison method was used to test gender differences.

The results suggest that regulatory effectiveness affects competence- and character-based trust and these impacts are stronger for males than for females. Both competence- and character-based trust influence general trust in members while their impacts vary. Competence-based trust is more important for males while character-based trust is more important for females.

This study contributes to social media literature by identifying the two trust building mechanisms with special attention to the role of regulatory effectiveness and trust transfer. Further, this study also sheds light on how these two mechanisms vary across gender.

This paper aims to improve understanding of the reasons why people trust the information about product recommendations on social shopping networks of websites, a new e‐commerce method which combines social networking and shopping, and to investigate the impact of the trust on the consumers' intention to purchase products from the online shop of a website.

An online survey instrument was developed to gather data, and 1,219 questionnaires were used to test the relationships in the proposed model.

The results indicated that perceived ability, perceived benevolence/integrity, perceived critical mass, and trust in a website were four important antecedents of trust in product recommendation in a social networking site. In addition trust in product recommendations can influence the consumers' intention to purchase from the website through increasing their intention to purchase the products.

The research model demonstrated the importance of trust in product recommendations to online consumers' transaction intention.

The results of the study showed that trust in product recommendations will influence consumers' purchase intentions. Therefore a social shopping website or the websites transforming into social shopping websites should put more emphasis on ways to establish the virtual communities or social networks which can provide the information about product recommendations that consumers trust.

The study provides a comprehensive framework of the antecedents and effects of consumers' trust in recommendations in the context of social shopping.

The purpose of this paper is to integrate extant literature on psychological dimensions and trust to develop a model of consumer e-loyalty.

This paper develops four important psychological-based factors impacting consumer trust and e-loyalty: perception-based, experience-based, knowledge-based and attitude.

The results of this paper propose that perception-based and experience-based factors are the main determinants of consumer trust and e-loyalty in e-retailing. Consumers do consider information practices.

This paper has attempted to shed some light on the psychological antecedents of consumer trust in e-retailing but still missed some important antecedents for example personality. An option for “not applicable” as an answer choice was not provided in the survey instrument. It is hard for a participant to provide accurate information about his/her past experience that happened three months ago in a self-reported method.

From a theoretical perspective, the psychological-based consumer trust decision-making model provides a holistic view of an online consumer’s purchase decision-making process and e-loyalty. From a practical standpoint, the paper identified a number of potentially important psychology determinants of consumers’ trust in a website and empirical evidence concerning the relative impact of each of these determinants on consumers’ trust and e-loyalty.

To date, this is the first research that has been conducted to analyse psychological dimensions of trust in e-retailers and its influence on e-loyalty by using partial least squares in Saudi Arabia e-commerce research.

Trust is a binding force in most buyer‐supplier transactions. It is critical when uncertainty and asymmetric product information are present in the transaction of a supply chain. One of the important characteristics in developing trust among trading partners of an e‐enabled supply chain is stage‐wise trust development among partners. In the present work, alternatives for trust development among buyer and supplier have been identified. In order to evaluate the alternatives to evolve trust in an e‐enabled supply chain, a framework involving analytic networked process is proposed. It helps in synthesizing various characteristics of trust in the e‐enabled supply chain. For the illustrative example, the result indicates superiority of a community responsibility system for building on‐line trust along the e‐enabled supply chain.

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 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.

This research aims at understanding the routes public e-marketplaces take, in the motor carrier spot market, to generate trust among participants.

This work borrows cue signaling theory and an e-marketplace content analysis instrument from information systems literature. Our primary data captures differences in usage of a broad spectrum of cues between motor carrier spot e-marketplaces and a control sample.

Transportation e-marketplaces use graphical cues more frequently than the control sample, display these cues on their “operational path” (where users click to conduct transactions) and try to generate beliefs in participants' integrity and competence.

The motor carrier online spot market constitutes a relevant test bed for trust-related theories. Several levels of trust-building conceptualizations are tested; the cue level shows the most potential. This paper extends cue signaling theory in the transportation e-marketplace context and calls for further work on operational path cues to enrich swift trust theories.

This study helps e-marketplace designers by identifying essential and facultative cues for the motor carrier spot market.

Research on public spot e-marketplaces in the motor carrier context is scant. The context is described in detail to show its specificities in structures and behaviors. This helps to contribute to both practice and research. By evolving an existing research instrument from information systems literature, this study ensures replicability (problematic in academic research) .

Trust has proven to be a key variable in understanding and predicting consumer behavior in the self‐service technology and e‐commerce contexts. However, it has never been examined as a segmentation variable. This study seeks to investigate the possibility of using trust in two self‐service bank channels: internet, and phone banking, to segment potential users of these channels.

Using data from a survey of 762 real bank customers discriminant analysis is used to test variables differentiating two groups of customers having, respectively, “high” and “low” trust in internet and phone banking.

Results show that the groups of “high” and “low” channel‐trustors are different in a number of attitudinal, behavioral and psychographic criteria. In addition, the two groups react differently in terms of intention to use internet, and phone banking.

This work contributes to existing literature on trust by opening an additional use of and a new research perspective on trust. Its findings are limited to the sector, technology and cultural context of the study.

In this paper several suggestions for bank managers to better target the adopters of self‐service technology‐based channels are discussed.

This is the first attempt to examine trust as a segmentation variable and to bring evidence for its relevance for marketing decisions.

Drawing upon institution-based trust theory, the purpose of this paper is twofold: firstly, to examine the joint influences of legally binding and market-driven institutional mechanisms in promoting customers’ trust and continuance intention in the ridesharing platform; and secondly, to examine if there exists a trust transfer mechanism between institution-based trust and interpersonal trust.

An online survey was conducted in China and data were collected from 307 customers in DiDi, which is one of the largest ridesharing platforms in China. Structural equation modeling statistical method was used to test the theoretical model and research hypotheses.

The empirical results suggest that market-driven institutional mechanisms, regarding feedback and surge pricing, have strong influences on customers’ trust in the ridesharing platform. In addition, legally binding institutional mechanisms, regarding payment security and driver certification, are also beneficial to promote customers’ trust. Furthermore, there is a trust transfer between customers’ trust in the platform and trust in the driver.

This study provides guidelines to the administrators of the ridesharing platform to establish effective institutional mechanisms. In particular, the platform can appropriately adopt and implement the legally binding mechanisms combined with market-driven mechanisms on the platform, in order to enhance customers’ trust and promote their subsequent transaction behaviors.

This study enriches and extends the extant literature of institution-based trust from e-commerce to the sharing economy by identifying four significant institutional mechanisms. Furthermore, this study presents a new perspective of customer trust (one-to-many) in the context of ridesharing and uncovers the transfer mechanism between institution-based trust and interpersonal trust.