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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.

The purpose of this paper is to investigate the influence of trust and perceived risk on investment willingness considering the bidirectional relationship between trust and perceived risk in peer-to-peer (P2P) lending.

Data were collected from a leading Chinese P2P platform, PPDAI.com. In total, 328 valid responses were received and analyzed using structural equation modeling (SEM).

The results show that the influence of trust on investment willingness is significant, whereas that of perceived risk is insignificant. The results also indicate that platform reputation has a positive effect on trust, and the quality of alternatives is positively associated with perceived risk. In addition, the bidirectional perspective should be preferred to cope with the bidirectional relationship between trust and perceived risk in P2P lending.

This study extends existing research on the influence of trust and perceived risk on investment willingness from a bidirectional perspective, which has not been addressed in the P2P lending context. In addition, this research enriches the current literature about trust and perceived risk by providing more evidence that the relationship between trust and perceived risk is bidirectional and thus the bidirectional model should be preferred. For practice, the study suggests that managers can earn trust and reduce the perceived risk of lenders by continuously providing high-quality products, services and enhancing platform reputation, ultimately improving their investment willingness.

While most e-commerce studies focus on the understanding of online customer behaviour, mainly adoption and purchase behaviours. The purpose of this paper is to examine the relationship between e-commerce and individual performance. The authors test the role of systems, information and service quality in e-commerce use and user satisfaction. Trust may become an important aspect for a consumer’s decision making, based on this the authors identify the effect of the role of trust on e-commerce use, user satisfaction and its impact on individual performance. This research has theoretical and managerial implications, since the protagonism of e-commerce is increasing in both academia and industry.

The authors apply a research model that integrates information systems success dimensions and user behaviour in the form of trust. The empirical approach was based on an online survey questionnaire of 437 individuals from Portugal.

The results reveal that overall quality and overall trust are important to explain use and user satisfaction in the context of e-commerce, which further leads to individual performance. The findings indicate that a higher level of use and user satisfaction increase individual performance.

The authors integrate information systems success dimensions and overall trust to understand the significance of e-commerce individual performance. The authors expect the results to enrich the understanding of the importance of considering both technological and behavioural factors to increase the success of e-commerce.

The purpose of this paper is to investigate the role of retailer trustworthiness in driving customer trust and the subsequent impact on loyalty. The authors position trustworthiness as a mediator in the link between retail strategies and the development of trust. They model customer loyalty to the service retailer as a function of the trust created through trustworthy perceptions.

The authors validate their model using 420 survey responses from customers in a service retail setting. Nine research hypotheses were tested using structural equation modeling. Alternate models are estimated, and the results provide support for the theory-based trustworthiness mediation model.

Trustworthy behaviors first build trustworthiness, which then translates into customer trust and ultimately has a positive impact on both behavioral and attitudinal loyalty.

The research highlights the importance for retailers to signal their trustworthiness to build customer trust and loyalty. Researchers should measure trustworthiness perceptions when examining customer relationships and managers should plan strategically to develop both trust and trustworthiness with their customers.

This study is one of the first to investigate the mediating effect of trustworthiness on customer loyalty in service settings. While past research has investigated dimensions of trustworthy behaviors, none has included a measure of trustworthiness perceptions and consumer trust in the same theoretical model. The results of the research provide important insights for both researchers and managers.

The primary purpose of this chapter is to provide insight as to why some privately held small-to-medium sized firms (SMEs) have been able to outperform their peers in terms of their performance defined as revenue growth, profit growth, growth in number of employees and markets. Little is known about privately held firms and what drives their performance. The second purpose is to synthesize and provide clarity to the extant literature on rapid-growth SMEs (gazelles). The third purpose is to bring a unifying theoretical lens to the literature.

The research was conducted using elite interviews with 47 informants drawn from 21 rapid-growth, private companies. Qualitative methods were used to identify themes related to the strategies used by these firms to outperform their peers over a five-year period.

The study organizes and summarizes the extant literature on rapid-growth companies, provides support for some findings, and clarifies equivocal findings. It also suggests that early strategic choices made by the owners of private firms along with their attitudes and capabilities positioned the private firms for rapid growth. The Morgan and Hunt (1994) trust–commitment theory of relationship marketing emerged from the data as the model used most often by rapid-growth private firms and the one that best integrates the factors driving private firm performance. A modified, two-stage model appears to be warranted. The first stage focuses on respect for the value employees bring, and building their trust and commitment is an essential first step that subsequently drives the second stage of the model – building customer trust and commitment. While some of the outcomes are similar to those suggested by Morgan and Hunt, new outcomes (collaborative innovation, citizenship behaviors, sustained growth, and premium prices) also emerged as important outcomes in this study.

This study provides owners of private firms with insight on how to build and grow their firms in a rapid and sustainable fashion.

Little research has been undertaken on private firms. This study addresses this knowledge gap. The modified trust–commitment relationship marketing model that emerged from the data had not been utilized to date in the field of rapid-growth firms and it provides an integrating theory that explains the performance of rapid-growth private firms.

The purpose of this paper is to identify the factors found on US construction projects that are perceived by contractors to strengthen or weaken trust between contracting stakeholders and to develop a framework for evaluating these relationships.

A comprehensive framework containing a number of factors (54) that could impact trust on construction projects was first developed. A survey questionnaire was then developed and administered via phone to contractors selected from the Engineering News Record top 400 US construction companies. The survey findings were then used to develop a trust model and case studies were used to validate and revise the trust model.

A trust model is developed that helps large US contractors measure and improve trust with other stakeholders on their projects.

Large US contractors are now provided with a tool not previously available to help them measure and improve trust between the different contracting parties on construction projects which can help them decrease project time and costs, and improve project results.

The proposed trust model adds a number of different dimensions to the existing trust models found in the literature and as such improves the contractor’s ability to foster and enhance trust on a US construction project.

The aim of this paper is to develop a model for presenting level of trust and analyzing the contribution of various trust-building measures undertaken by an organization.

The conceptual framework for the model is based on previous research and the concept of trust and its implications in business environment. This model includes various stages of trust measured against time and trust building measures (TBM). This trust model relates the trustee’s position with the trustor at any point in time and describes its impact on trustee’s position in terms of trustworthiness (sum of “trust deficit” and “trust gain”). 10;Vectors and linear Algebra equations are used to construct the model supplemented with an example from real-life business environment for better understanding of the model. 10.

A trust framework, elaborating level of trust between two parties is explained with the help of a mathematical model. The model includes various stages of trust measured against time and TBM.

In the practical application of the model, the authors adopted an existing scale to measure trust levels, which can have its limitations and shortcomings. It is however suggested to choose as specific scale for the industry as possible.

The model can be applied in any situation, person or environment specially to determine the current situation of organizational trust in business which can be helpful in making decisions.

The concept of making trust a part of strategy and a tool for decision-making is novel and applicable in all sectors and situations. By providing a real-time view of the level of trust and impact of TBM will help predict future levels of trust and make it an essential part of decision-making process.

To develop and test a new model of relational exchange in marketing‐oriented non‐equity international strategic alliances.

The model is tested using a sample of 97 matched dyads of US and Japanese firms in the electronics industry. The model was tested using three stage least squares.

The data generally support the proposed model for both nations/cultures. The results suggest that the benevolence dimension of trust is a more important determinant of managerially assessed alliance marketing performance for the Japanese firms relative to their US partners.

While strong inferences are inhibited by the nature of our data set, our research implies that cultural sensitivity is an important determinant of the credibility and benevolence dimensions of trust and quality information exchange. Also, exchanging quality information is a strong mediator of the trust‐performance relationship.

International marketing managers should be focused on the process of developing high levels of alliance marketing performance. Our results suggest that this performance can be linked, at least in part, to the exchange of relevant, timely, important information. Information exchange in turn depends on the development of trust and cultural sensitivity in the relationship.

This paper integrates the cultural sensitivity construct into a relational exchange model of international alliances, demonstrating the importance of being open to, and understanding of, culturally driven operational differences. The important behavioral construct we call quality information exchange is a mediator in the relational exchange model, an improvement over models that include only relational constructs such as trust and commitment.

The purpose of this paper is to analyse and describe several trust and reputation models for distributed and heterogeneous networks and compare some of them in order to provide an evaluation amongst some of the most relevant works in this field.

The authors have developed a trust and reputation models simulator for wireless sensor networks, called TRMSim‐WSN, and implemented several trust models for distributed networks in order to test their accuracy as well as their resilience against a set of specific security threats that can be applied in these particular systems, as the paper will show.

The analysis of the outcomes obtained from the experiments revealed that while some models have a reasonably good performance against certain security threats, none of them behaves as would be desired under any circumstances.

Ongoing work is focused on the implementation of several trust and reputation models in the simulator TRMSim‐WSN, in order to have a wider range of possibilities for comparison. Furthermore, the authors are planning to include additional security threats that allow the testing of those models under new undesirable situations.

The experiments show that when deciding which trust and/or reputation model is more suitable or adequate to be applied, it is crucial to study and analyse the specific features of the distributed network where such model is to be deployed, as well as the possible security threats that can spoil its accuracy.

As far as is known, this is one of the few works in the field of trust and reputation in distributed systems where no new model is presented, but a comparison and analysis of some of the current most representative ones is carried out.

Mobile ad hoc networks rely on cooperation to perform essential network mechanisms such as routing. Therefore, network performance depends to a great extent on giving participating nodes an incentive for cooperation. The level of trust among nodes is the most frequently used parameter for promoting cooperation in distributed systems. There are different models for representing trust, each of which is suited to a particular context and leads to different procedures for computing and propagating trust. The goal of this study is to analyze the most representative approaches for mobile ad hoc networks. It aims to obtain a qualitative comparison of the modeling approaches, according to the three basic components of a trust model: information gathering, information scoring and ranking, and action execution.

The paper identifies the different tasks required by a trust system and compares the way they are implemented when the system model itself is based on information theory, social networks, cluster concept, graph theory and game theory. It also provides a common nomenclature for the models. The study concentrates exclusively on the trust models themselves, without taking into account other aspects of the original articles that are beyond the scope of this analysis.

The study identifies the main components that a trust model must provide, and compares the way they are implemented. It finds that the lack of unity in the different proposed approaches makes it difficult to conduct an objective comparison. Finally, it also notices that most of the models do not properly manage node reintegration.

The best of our knowledge, the study is the first that uses information scoring and ranking as classification key. According to this key, approaches can be classified as based on information theory, clusters and social network theory, and cooperative and non‐cooperative game theory. It also provides a common nomenclature for all of them. Finally, the main contribution of the paper is to provide an analysis of the most representative approaches and present a novel qualitative comparison.