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The study examines how two types of trust – institutional and system trust – predict online banking intentions (OBI) as a function of generational cohort membership.

The study uses a cross-sectional survey of 559 U.S. Amazon Mechanical Turk (MTurk) members using quota sampling from three generational groups: SGI (born before 1946), older boomer (born 1946–1954), and millennial (born 1977–1992).

Results showed generational cohort differences in system and institutional trust as well as OBI. Serial mediation model results showed the model where institutional trust precedes system trust best explains the relationship between generational cohort membership and OBI.

While diverse, the sample comprised of MTurk workers and relied on self-report measures of behavioral intentions, thus limiting the generalizability of our findings.

This study introduces two levels of e-trust into the technology acceptance literature and provides a guideline for financial institutions and system designers to understand the role of trust in driving online service adoption and use for different generations.

This study explores generational differences in technology use with special focus on older adults, which is yet to be fully explored in the literature. This study differentiates between two levels of e-trust and explores the order in which both trust types mediate the relationship between generational cohort membership and OBI.

This article seeks to discuss trust within the context of public health crises using an autopoietic systems perspective that positions communication as one of its core concepts. This article will explore trust studies conducted during public health crises in this Millennium (from SARS to COVID-19 pandemics), including their problems; briefly summarize Luhmann's concept of Vertrauen; and use this concept to analyze trust issues during the COVID-19 pandemic.

This article will explore trust studies conducted during public health crises from SARS to COVID-19 pandemics, including their problems. The perspective used is an explication of Niklas Luhmann's theory regarding Vertrauen which was derived as a framework for reading empirical facts on trust issues during the COVID-19 pandemic. The research design and exploration stages were inspired by the theory of autopoiesis systems by Niklas Luhmann.

From a systems perspective, the COVID-19 pandemic has highlighted the extraordinary complexity of the linkages between social systems. Trust will continue to evolve dynamically as new variants emerge in society. Consequently, the pandemic has provided the momentum necessary for maximally exploring the concept of trust. Indonesia thus experienced significant obstacles when making and implementing disaster mitigation policies. Owing to the lack of a trust system, greater emphasis was given to control and power. There has been little preparedness to create and reinforce public trust, and this in turn has stifled efforts to stop the spread of COVID-19.

This study of trust, communication and public health crises has provided space to reflect on the development of trust within the social system. This study shows that trust can prove to be a very important factor in resolving a crisis. However, the complexity of the interrelationships of the social system can affect the quality of trust. The context of Indonesia's social system which is very complex due to population density and the dynamics of the development of its social system which is very diverse as an archipelagic country has contributed to the originality of the study of trust in times of crisis in a growing contemporary society.

The purpose of this paper is to test a model of banking system trust as an antecedent of bank trust and bank loyalty. Six determinants of trust and loyalty are included: competence, stability, integrity, customer orientation, transparency, and value congruence. The study provides insights which determinants are crucial for explaining bank trust and bank loyalty, and thus for rebuilding trust and loyalty.

Survey among 1,079 respondents of 18 years and older in The Netherlands on person trust, system trust, bank trust, and their scores on determinants of trust and loyalty. Structural equations modeling (AMOS) has been performed to provide insights into the relationships between concepts such as person trust, system trust, bank trust, and bank loyalty. The importance of determinants to explain bank trust and bank loyalty has been assessed as well.

Integrity is the most important determinant of bank trust. Transparency, customer orientation, and competence are also significant. Trust is a strong predictor of loyalty. Determinants explaining bank loyalty are: competence, stability, transparency, and value congruence. System trust is also a determinant of bank trust. The meaning of these results is discussed in the paper, as well as the managerial implications of these findings.

Data were collected in May 2014 with a large sample, when the financial crisis came to an end. Distrust still remained as a consequence of the crisis. Banks are now rebuilding trust and loyalty. This research provides indications which determinants of trust and loyalty are important in this process and should be focused upon. A longitudinal study how trust and loyalty are developing would give insights and feedback on managerial actions.

Results provide insights into the causes and reasons of (dis)trust. From this study, banks get insights with a priority matrix which determinants are below par but important for specific banks and should be focused on and improved at the short term.

Trust in banks and other financial institutions is crucial for the functioning of the banking system and for society at large. Restoring trust is a matter of fundamental changes of the bank-customer relationships, not only by communication but by sincere behavior (integrity) and benevolence in the customer interest.

The authors are not aware of research using all six determinants (competence, stability, integrity, customer orientation, transparency, and value congruence) to explain and predict bank trust and bank loyalty, and their implications for trust and loyalty in banks.

Nations such as the USA are investing in technologies such as electronic health records in order to collect, store and transfer information across boundaries of health care, public health and research. Health information brokers such as health care providers, public health departments and university researchers function as “access points” to manage relationships between the public and the health system. The relationship between the public and health information brokers is influenced by trust; and this relationship may predict the trust that the public has in the health system as a whole, which has implications for public trust in the system, and consequently, legitimacy of involved institutions, under circumstances of health information data sharing in the future. This paper aims to discuss these issues.

In this study, the authors aimed to examine characteristics of trustors (i.e. the public) that predict trust in health information brokers; and further, to identify the factors that influence trust in brokers that also predict system trust. The authors developed a survey that was administered to US respondents in 2014 using GfK’s nationally representative sample, with a final sample of 1,011 participants and conducted ordinary least squares regression for data analyses.

Results suggest that health care providers are the most trusted information brokers of those examined. Beliefs about medical deceptive behavior were negatively associated with trust in each of the information brokers examined; however, psychosocial factors were significantly associated with trust in brokers, suggesting that individual attitudes and beliefs are influential on trust in brokers. Positive views of information sharing and the expectation of benefits of information sharing for health outcomes and health care quality are associated with system trust.

This study suggests that demonstrating the benefits and value of information sharing could be beneficial for building public trust in the health system; however, trust in brokers of information are variable across the public; that is, knowledge, attitudes and beliefs are associated with the level of trust different individuals have in various health information brokers – suggesting that the need for a personalized approach to building trust.

The purpose of this research is to identify the critical determinants of a franchisee’s trust in their franchisor.

A qualitative approach was used, and 30 interviews were conducted with franchising participants. The first phase of the research consisted of exploratory interviews with franchising experts (franchise lawyers, accountants, consultants, mediators and bankers), and the second phase consisted of semi-structured interviews with franchisees and franchisors across two franchise systems.

The research revealed five critical determinants of a franchisee’s trust in their franchisor: franchisee’s engagement in the system, franchisee’s confidence in the system, franchisee’s perception of a strong team culture, franchisee’s perception of franchisor competence and franchisee’s perception of franchisor character.

The research provides insight into how the aforementioned components can be developed within a franchise system to build franchisee trust. The paper also concludes with four practical recommendations that can be integrated within a franchise system to increase levels of franchisee trust.

This research builds on prior research into franchisee trust, providing an original contribution to the literature through the development of a practical model, showcasing critical determinants of a franchisee’s trust in their franchisor.

Companies allowing employees to self-report business expenses face the risk of expense fraud because some occasionally engage in dishonest behavior to receive reimbursements for their use. Drawing on the technology acceptance model, this study aims to investigate the effects of perceived usefulness, perceived ease of use and perceived security on the trust in e-reimbursement systems and the relationship with honest disclosure intention.

A self-administered questionnaire was distributed to 254 respondents, with the partial least squares structural equation modeling used to analyze the data.

The findings showed that perceived security and perceived usefulness explained trust in e-reimbursement systems, whereas perceived ease of use had no significant effect on it. Corporate governance and trust in e-reimbursement systems have a positive relationship with whistleblowing intention. At the same time, corporate governance mediates the relationship between trust in e-reimbursement systems and honest disclosure intention.

This study sheds light on using e-reimbursement systems within organizations to prevent fraudulent reimbursements and offers recommendations to management on enhancing employees’ intention to engage in honest disclosure behavior through e-reimbursement systems.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

E-wallet is one of the financial technology (fintech) products. In Indonesia, e-wallet is still in the growing stage. Many e-wallet providers are attracted to join the market every year, and the competition becomes tighter, focusing on customer acquisition. Promotion is launched, burning much cash in making the promotion. However, cash-burning does not guarantee that customers will use one e-wallet. Customer satisfaction is an important key element of success and continuous use in information systems and e-commerce contexts. This research aims to investigate the satisfaction of e-wallet customer in Indonesia, focusing on and extending the trust role. This study adopted the model proposed by Geebren, Jabbar, and Luo (2021), which is an extension of information system success model. This research used Structural Equation Modeling with Partial Least Squares to analyze the data. It was found that factors that influence customer satisfaction are trust, system quality, information quality, service quality, and structural assurance. The authors found that trust positively affects customer satisfaction, and trust plays a vital role in customer satisfaction. Also, trust has a role as partial and full mediators. It is suggested that e-wallet providers should consider enhancing customer satisfaction.

This study aims to demonstrate the importance of the requisite trust for the processes of digitalization of business, the state and society in general.

The work is built “from particular to general”. The analysis of many cases of digitalization projects leads to some higher-level principles useful for description most of them – trust, umwelt and complexity.

Based on the analysis of empirical material, the principle of requisite trust is introduced based on the definition of trust through a “relevant umwelt”. In addition, the article examines many aspects of society digitalization processes using cybernetic concepts. It is shown that (1) in the core of digitalization process is the export of the umwelt from human head to a computer (digital umwelt), (2) models used in the digital platforms are not only a reflection of social processes, but have a significant impact on them, like the observers of cybernetics of the second order and (3) umwelt concept is closely related to a social reality concept, meanings are relative and are carried by the communication systems.

The paper summarized practical and theoretical experience in the field of digital projects and introduced The Law of Requisite Trust. In the future, this principle should be studied more formally in quantitative terms.

The principle of requisite trust, as well as the definition of trust through the relevant umwelt is original. The promotion of trust in organizations and also digital organizations using such instruments as standard of social responsibility (ISO 26000) has high practical value.

In this article the authors will focus on the state of the art on information filtering and recommender systems based on trust. Then the authors will represent a variety of filtering and recommendation techniques studied in different literature, like basic content filtering, collaborative filtering and hybrid filtering. The authors will also examine different trust-based recommendation algorithms. It will ends with a summary of the different existing approaches and it develops the link between trust, sustainability and recommender systems.

Methodology of this study will begin with a general introduction to the different approaches of recommendation systems; then define trust and its relationship with recommender systems. At the end the authors will present their approach to “trust-based recommendation systems”.

The purpose of this study is to understand how groups of users could improve trust in a recommendation system. The authors will examine how to evaluate the performance of recommender systems to ensure their ability to meet the needs that led to its creation and to make the system sustainable with respect to the information. The authors know very well that selecting a measure must depend on the type of data to be processed and user interests. Since the recommendation domain is derived from information search paradigms, it is obvious to use the evaluation measures of information systems.

The authors presented a list of recommendations systems. They examined and compared several recommendation approaches. The authors then analyzed the dominance of collaborative filtering in the field and the emergence of Recommender Systems in social web. Then the authors presented and analyzed different trust algorithms. Finally, their proposal was to measure the impact of trust in recommendation systems.