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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.

Complex cost structures and multiple conflicting objectives make selecting an appropriate cloud service difficult. The purpose of this study is to propose a novel group consensus decision making method for cloud services selection with knowledge deficit by trust functions.

This article proposes a knowledge deficit-based multi-criteria group decision-making (MCGDM) method for cloud-service selection based on trust functions. Firstly, the concept of trust functions and a ranking method is developed to express the decision-making opinions. Secondly, a novel 3D normalized trust degree (NTD) is defined to measure the consensus levels. Thirdly, a knowledge deficit-based interactive consensus model is proposed for the inconsistent experts to modify their decision opinions. Finally, a real case study has been carried out to illustrate the framework and compare it with other methods.

The proposed method is practical and effective which is verified by the real case study. Knowledge deficit is an important concept in cloud service selection which is verified by the comparison of the proposed recommended mechanism based on KDD with the conventional recommended mechanism based on average value. A 3D NTD which considers three values (trust, not trust and knowledge deficit) is defined to measure the consensus levels. A knowledge deficit-based interactive consensus model is proposed to help decision-makers reach group consensus. The proposed group consensus model enables the inconsistent decision-makers to accept the revised opinions of those with less knowledge deficit, rather than accepting the recommended opinions averagely.

The proposed a knowledge deficit-based MCGDM cloud service selection method considers group consensus in cloud service selection. The concept of knowledge deficit is considered in modeling the group consensus measuring and reaching method.

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 study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

This study aims to analyse the mechanism of trust instrument from a Shariah point of view. Analysis of the mechanism would determine the extent to which its implementation can resolve estate planning issues such as frozen estate and the issue of naming beneficiaries under the age of 18.

This is a qualitative study method through library research. To explore the mechanism of trust instrument, an in-depth interview with five participants using purposive sampling and analyses of documents were used. The selection of this sample allows the researcher to obtain specific data in their field of expertise. Therefore, two officers from the Trust Administration Department of Amanah Raya Berhad (ARB) and three Shariah advisors from ARB (MPS ARB) were interviewed to find out the mechanism of trust instrument from the Shariah perspective. The researcher also referred to the trust deed documents, ARB company policies, field case studies such nomination cases and trust accounts, articles and court cases.

The trust instrument meets Shariah requirements even though it is based entirely on the Civil Law. The comprehensive and flexible features of trust deeds can help donors to plan systematically during their lifetime.

This study only focuses on the trust instruments that are currently being implemented in the ARB. Five trust products were analysed to achieve the objectives of the study, namely, the Normal Trust, Safecare and Safecare Premium, Takaful Care, Hibah (literally “gift”) as well as Trust and Declaration of Hibah.

The implementation of trust instrument at an early stage can ensure the property is well managed through a trust deed, guarantee the life of the beloved heirs after the death of the donor and prevent the property from being frozen.

This study comprehensively describes the trust instrument from the Shariah perspective and its implementation mechanism in the industry.

This study aims to examine the diffusion and implementation of trust-based management (TBM) in Scandinavian countries (Denmark, Norway and Sweden). TBM is a novel “anti-New Public Management (NPM)” innovation within the realm of New Public Governance (NPG), which asserts that leadership and control in public sector organizations should be practiced and designed based on the assumption that civil servants and employees in general are trustworthy. The research questions are as follows: How has TBM been diffused and implemented in Scandinavia? To what extent can the institutional logics framework increase understanding of similarities and differences between the Scandinavian countries (Denmark, Norway and Sweden)?

The authors designed and submitted surveys to the municipal directors of the three Scandinavian municipal populations, thereby producing a unique cross-country dataset on TBM diffusion and implementation in Scandinavia (Denmark, Norway and Sweden).

The authors' study shows that TBM has diffused widely among Scandinavian municipalities and has developed into a municipal-level concept across policy fields and sectors. While Denmark stands out as an earlier and more decisive TBM reformer, the results show that similarities in the diffusion and implementation of TBM in Scandinavian countries are more apparent than the differences.

This study contributes to the public management literature and research on anti-NPM and NPG concepts by being the first wide-scale empirical study of TBM diffusion and implementation in the Scandinavian municipal sectors.

The advent of technology has propelled audit firms to incorporate AI-based audit services, bringing the relationship between audit clients and firms into sharper focus. Nonetheless, the understanding of how AI-based audit services affect this relationship remains sparse. This study strives to probe how an audit client's satisfaction with AI-based audit services influences their trust in audit firms. Identifying the variables affecting this trust, the research aspires to gain a deeper comprehension of the implications of AI-based audit services on the auditor-client relationship, ultimately aiming to boost client satisfaction and cultivate trust.

A conceptual framework has been devised, grounded in the client-company relationship model, to delineate the relationship between perceived quality, perceived value, attitude and satisfaction with AI-based audit services and their subsequent impact on trust in audit firms. The research entailed an empirical investigation employing Facebook ads, gathering 288 valid responses for evaluation. The structural equation method, utilized in conjunction with SPSS and Amos statistical applications, verified the reliability and overarching structure of the scales employed to measure these elements. A hybrid multi-analytical technique of structural equation modeling and artificial neural networks (SEM-ANN) was deployed to empirically validate the collated data.

The research unveiled a significant and positive relationship between perceived value and client satisfaction, trust and attitude towards AI-based audit services, along with the link between perceived quality and client satisfaction. The findings suggest that a favorable attitude and perceived quality of AI-based audit services could enhance satisfaction, subsequently augmenting perceived value and client trust. By focusing on the delivery of superior-quality services that fulfill clients' value expectations, firms may amplify client satisfaction and trust.

Further inquiries are required to appraise the influence of advanced technology adoption within audit firms on client trust-building mechanisms. Moreover, an understanding of why the impact of perceived quality on perceived value proves ineffectual in the context of audit client trust-building warrants further exploration. In interpreting the findings of this study, one should consider the inherent limitations of the empirical analysis, inclusive of the utilization of Facebook ads as a data-gathering tool.

The research yielded insightful theoretical and practical implications that can bolster audit clients' trust in audit firms amid technological advancements within the audit landscape. The results imply that audit firms should contemplate implementing trust-building mechanisms by creating value and influencing clients' stance towards AI-based audit services to establish trust, particularly when vying with competing firms. As technological evolutions impinge on trustworthiness, audit firms must prioritize clients' perceived value and satisfaction.

To the researcher's best knowledge, no previous study has scrutinized the impact of satisfaction with AI-based audit services on cultivating audit client trust in audit firms, in contrast to past research that has focused on the auditors' trust in the audit client. To bridge these gaps, this study employs a comprehensive and integrative theoretical model.

The purpose of this study is to provide information that reflects the true state of affairs and to develop a conceptual model that examines the moderating effect of uncertainty on relative brand trust–love.

Extant empirical studies, conceptual literature and related theories were identified and integrated to develop the conceptual model.

Findings of the study suggest that relative brand trust–love arises because of different components of uncertainty. Relative brand trust–love exhibited by the customer is moderated by uncertainty at the individual level, brand level and technology level. These uncertainties represent the situation that considers if relative brand trust–love can be enhanced. A few propositions have been suggested for such situations to enhance relative brand trust–love.

This paper proposes a conceptual model and also makes research propositions that need to be validated and confirmed empirically. It adds value to theoretical advancements in strengthening the customer–brand relationship. Furthermore, results suggest that relative brand trust–love can be improved over time if these components can be supported by increasing information at different levels. The conclusions will be informative to practitioners and brand managers in strengthening a brand into the market more effectively. Moreover, it can transform the brand into a global brand and help build sustainable long-term relationships. Findings can be useful and interesting information for the researchers who are interested in finding strategic ways for effective decision-making related to brand trust and brand love.

The conceptual model, and the propositions related to different levels of uncertainty, and its effect on relative brand trust–love, is a new approach in enhancing relative brand trust–love and hence helpful in strengthening the quality of customer–brand relationships.

This study aims to propose a conceptual framework for transition of brand trust to brand love in an uncertain market situation, from the perspective of cognitive-emotion theory (CET).

Since brand anthropomorphism is successfully established in branding research, this study takes cognitive characteristics of brand trust and emotional characteristic of brand love from extant literature to develop a conceptual framework for transformation of brand trust (cognition) into brand love (emotion). This study situates the relationship in the context of market uncertainty due to the COVID-19 pandemic. It focuses in the development of the conceptual framework by taking cognitive components of brand trust and brand behavioural characteristics as moderator, in uncertain market situation.

Findings suggest that transition of brand trust (cognition) to brand love (emotion) is possible in uncertain situation, and brand behavioural characteristics moderate this relationship. Brand behavioural characteristics are brand innovativeness, brand ethicality, brand empathy, brand expertise and brand agility, which have the potential to further strengthen the relationship in the given situation.

This research proposes a conceptual model and propositions that add a rich understanding to the relationship of brand trust and brand love, which requires empirical testing in any brand category context. Through a richer understanding of conditions and the underlying psychological mechanism, researchers and marketers, brand managers, policymakers and so forth can gain insights that aid strategic decision-making. Trusted brands can leverage on the situation by highlighting unique behavioural characteristics to establish a strong and sustainable long-term relationship.

The current research is an attempt to provide deeper insights from the perspective of CET, into the relationship of brand trust (cognition) and brand love (emotion) by introducing conditions under which a trusted brand becomes a lovable brand in uncertain market situation, thereby adding new knowledge to branding, customer-brand relationship sustainability, in uncertainty literature. The new perspective, that is CET, puts forward a novice view on the advantage of brand love over brand trust that could help in formulating strategic decisions in managing brands in crisis situation.

This study aims to explore how the shift from traditional to digital banking transforms the nature of trust between banks and their younger clients (aged 18–35) from the perspective of bank employees.

Qualitative semi-structured interviews with representatives of Ukrainian classical banks and neobanks were conducted. The interviews were analysed using the theoretical approach of institution-based and social network-based trust to identify the key distinctions between the nature of trust in traditional and digital banking.

The employees of the banks reported that digitalization processes have helped to mitigate trust issues; as a result, their banks have not experienced any difficulties in this regard among young people. Furthermore, social networks, particularly social approval, were found to be significant factors for establishing trust in digital banking among young people.

The results of this study could assist bank managers in adapting their strategies for cultivating trust among younger clients and aiding international law regulators and government institutions in preventing unintended circumstances in financial services. These contributions were shaped by the study’s limitations, including its focus on only two concepts of trust building: institution-based and social network-based, as well as its specific Ukrainian context.

This study highlights social approval as a valuable constituent of the trust-building process that influences trust in institutions. Furthermore, while gaining social approval – particularly through digital platforms – can promote trust-building among young people, this “easy way” may have negative societal consequences by endorsing unscrupulous institutions.