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The purpose of this paper is to develop a value‐based framework for the consumer e‐trust building process.

The data collection procedure consisted of two steps. The first was a brief questionnaire measuring potential informants' personal values. From this pool of potential informants, 30 were recruited for the interviews: five security‐ and five excitement‐minded consumers from three fields of electronic commerce; electronic newspapers, electronic grocery shopping, and electronic healthcare services.

The findings of the study reveal two value‐based external factors in e‐trust building that consumers perceive as risks in e‐commerce, and three value‐based behavioral patterns in e‐trust building that informants adopt to reduce perceived risks and build trust in e‐commerce. Furthermore, findings of the current study suggest that e‐trust building process is different based on individuals' personal values.

This study takes into account only two consumers' personal values, security and excitement, and ignores others. However, it identifies the role of the consumers' personal values in e‐trust building, and thus opens new perspectives for further e‐trust research. The study also identifies different strategies that consumers can use to build trust in e‐commerce.

This study opens new perspectives in e‐trust research by exploring the role of consumers' personal values in e‐trust building process. The study also provides new insights for other researchers to develop understanding on mechanisms that consumers use to build e‐trust.

The purpose of this paper is to develop an integrated conceptual trust building model for supply chain partners’ relationships. It is based on the literature on trust building models from various disciplines.

Various trust building concepts and models were reviewed and five widely referred trust building models were selected from the literature to analyze and integrate the views to develop an integrated conceptual model from supply chain partners’ relationships point of view.

The conceptual frame work suggests that trust is a sum of risk‐worthy characteristics, risk‐worthy rationale and risk‐worthy institutional systems of supply chain members. Though the model represents the trust building process at dyadic level, the concept can simply be extended to any number of levels and perspectives.

The model has considered the trust building perspectives from supply chain partners’ relationships point of view. The discussions of the model lead to empirically testable issues.

The study results suggest that the supply chain members should strive to reduce the risk levels to build trust rather than striving to build trust to reduce the risk. As long as members’ risk levels are within their bearable limits trust can be considered as a risk coping mechanism and when the risk levels exceed their bearable limits the subject of trust turns into risk management/security management.

The trust building concepts developed through this model can be used by both practitioners and researchers on the subject of trust. However the model's application is not limited to supply chain management; it can be easily adapted to any discipline of management.

This paper identifies exigent factors that enable and constrain trust building in a science-based innovation ecosystem.

Set in the Northeast England, this study adopts a processual sensemaking approach to thematically analyse interviews with a diverse range of participants in six science-based SMEs.

The findings provide a unique exposition of trust building in an innovation ecosystem across geographic and platform relationships. In doing so, the findings highlight factors outside of contractual agreements that enable or constrain trust building in an innovation ecosystem.

Limitations centred on subjectivity in the use of thematic analysis, sample bias and size. Sampling limitations were mitigated through the research design and analysis.

The findings provide unique insights into understanding the exigent factors that enable or constrain trust building in a science-based innovation ecosystem.

The study identifies five exigent factors that constrain or enable trust building in science-based SMEs' innovation ecosystem at a micro-level – building network relationships, degree of novelty, protection of innovations, propensity for adding value, propensity for risk.

We lead increasingly electronic lives, in which a significant part of our existence takes place online. The concepts of eGovernment, eCommerce, eHealth and eLiving are an indication of this development. Against this background, there is an ever growing urgency of thinking through the problem of building trust in an online context. This paper examines the contextual conditions which affect building trust online. It will be argued that different combinations of the contextual conditions of trust building will result in different views of the trust by the customer. Some of these combinations are better than others, and while a holistic approach would likely result in the best solution, it is not necessarily always within reach. Online trust building could be defined as a successful combination of four basic elements: reputation, technology, expertise and relationship. Unlike previous research, this study attempts to take all of these four key elements and the dynamics of their interconnections into account.

Building trust is critical in reverse mergers and acquisitions (M&As), attributed to the divergence of governance and culture between the East and the West. This paper aims to explore the barriers and trust-building practices of Chinese managers in reverse M&As in developed countries.

The primary data set of this research contains case studies of two Chinese M&A deals and in-depth interviews with managers and advisories in the Netherlands.

This research finds that the divergences of decision-making structure, communication style and trust orientation generate barriers to the trust building in Chinese reverse M&As. The third-party advisory participation helps to build cognition-based trust of acquired company managers on Chinese acquiring company managers through providing information and explanation, fitting Chinese buyers in the Western M&A procedure and offering communication. It also helps to build affect-based trust through bridging the divergence of trust orientation and filling the cultural voids. Meanwhile, the invisible integration helps to build cognition-based trust through maintaining the core business, offering great help to acquired companies for their business expansion and selecting the business collaboration areas in the long term. It also helps to build affect-based trust through granting a high degree of governance independence and enabling a balanced status in acquired companies.

This research unveils the “black box” of Chinese reverse M&As from an inter-personal trust perspective and advances the nuanced understanding of trust and trust-building practices in Chinese reverse M&As. It also provides practical tools for both Chinese companies and acquired companies in developed countries.

This paper aims to address a dilemma raised in the accounting literature on how managers of creative practices can produce and use accounting measurements that support employees’ self-determination to create whilst also building trust in them to work for the interests of the organisation.

Using pragmatic constructivism as a paradigmatic setting, the paper develops a learning method of trust building as a way for organisations to produce and use accounting measurements. Empirical analysis of the European Capital of Culture Aarhus 2017 demonstrates the method in action.

The study displays a learning method of trust building as an effective way for organisations to account for their creative practices without intruding on the creative process of the people involved. The method involves proactive judgement and pragmatic observation of the trustworthiness of the actors’ language games, construction of quality in the conceptual structures of management narratives and measurement models, and learning that narrows the gap between the actors’ proactive judgement and the pragmatic observation of trustworthiness. Through such processes, including principles of truth, dialogical interactions, ongoing reflections and co-authorship, trust can be built in self-determining, creative actors to drive intentional results.

The learning method of trust building extends the literature on trust building and on knowledge processes of performance measurement of actors in creative practices.

This is the first attempt in the accounting literature to develop a learning method of trust building.

The purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.

Initially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.

The results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.

The proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.

This research can also help practitioners understand the complexity of building trust and design platform features to do so.

A unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.

To the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.

With the evolution of the turbulent environment constantly triggering the emergence of a trust crisis between organizations, how can university–industry (U–I) alliances respond to the trust crisis when conducting green technology innovation (GTI) activities? This paper aims to address this issue.

The authors examined the process of trust crisis damage, including trust first suffering instantaneous impair as well as subsequently indirectly affecting GTI level, and ultimately hurting the profitability of green innovations. In this paper, a piecewise deterministic dynamic model is deployed to portray the trust and the GTI levels in GTI activities of U–I alliances.

The authors analyze the equilibrium results under decentralized and centralized decision-making modes to obtain the following conclusions: Trust levels are affected by a combination of hazard and damage (short and long term) rates, shifting from steady growth to decline in the presence of low hazard and damage rates. However, the GTI level has been growing steadily. It is essential to consider factors such as the hazard rate, the damage rate in the short and long terms, and the change in marginal profit in determining whether to pursue an efficiency- or recovery-friendly strategy in the face of a trust crisis. The authors found that two approaches can mitigate trust crisis losses: implementing a centralized decision-making mode (i.e. shared governance) and reducing pre-crisis trust-building investments. This study offers several insights for businesses and academics to respond to a trust crisis.

The present research can be extended in several directions. Instead of distinguishing attribution of trust crisis, the authors use hazard rate, short- and long-term damage rates and change in marginal profitability to distinguish the scale of trust crises. Future scholars can further add an attribution approach to enrich the classification of trust crises. Moreover, the authors only consider trust crises because of unexpected events in a turbulent environment; in fact, a trust crisis may also be a plateauing process, yet the authors do not study this situation.

First, the authors explore what factors affect the level of trust and the level of GTI when a trust crisis occurs. Second, the authors provide guidelines on how businesses and academics can coordinate their trust-building and GTI efforts when faced with a trust crisis in a turbulent environment.

First, the interaction between psychology and innovation management is explored in this paper. Although empirical studies have shown that trust in U–I alliances is related to innovation performance, and scholars have developed differential game models to portray the GTI process, building a differential game model to explore such an interaction is still scarce. Second, the authors incorporate inter-organizational trust level into the GTI level in university–industry collaboration, applying differential equations to portray the trust building and GTI processes, respectively, to reveal the importance of trust in CTI activities. Third, the authors establish a piecewise deterministic dynamic game model wherein the impact of crisis shocks is not equal to zero, which is inconsistent with most previous studies of Brownian motion.

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.

Integrating the literature on trust building and cultural intelligence, the purpose of this paper is to understand how expatriate managers build trust with their host country nationals (HCNs) in China.

Qualitative data collected via extensive interviews with 12 expatriate managers and 34 HCNs from seven multinational companies in Shanghai.

The authors find that expatriate managers and HCN managers build trust via competence/ability at the onset. The trust relationship becomes stronger over time with the development of affect-based trust via cultural intelligence of the expatriate managers.

Implications for theory and practice following the results are discussed.

This study used the cultural intelligence perspective to understand the trust building process. In addition this study interviewed both sides to the trust dyad; the expatriate manager and the HCN manager. Hence, it provides perspectives from both sides of the trust building process, one of the first studies to do so.