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Given the fierce competition in financial services, service failure management and trust restoration tactics are becoming strategic priorities. Studies investigating trust restoration have increased over the years due to the significance of trust in services and the frequency of trust violations. Drawing on the sense-making and defensive approaches of attribution theory, this study aims to explore the effectiveness of various trust recovery tactics (e.g. apology, explanation, and investigation) in financial services considering the prevalence of service failure severity.

Based on a scenario-based survey, this study gathered data from 402 consumers of different banks in Pakistan. The study analyzed the data using ordinary least square regressions and structural equation modeling.

The study indicated that explanation is more effective in repairing character-competence and commitment-based trust, while investigation remained highly effective for inducing congruence-based trust. Interestingly, an apology was more effective for communication-based trust repairing, while context-based trust recovery was unaffected against all recovery tactics. Despite the prevalence of severe service failure, recovery actions proved fully effective for character-competence and commitment-based trust while partially effective for congruence-based trust recovery. This study also found that severe service failure undermines the effectiveness of recovery actions in repairing communication and context-based trust.

The study extends the literature on trust recovery by integrating sense-making and defensive attribution theory. The sense-making approach contributes to the existing knowledge on trust recovery by elucidating how consumers and service providers develop a shared understanding to facilitate the recovery mechanism of multidimensional trust in financial services.

This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

In banking services, how customers interact with their bank – whether it’s through the physical branch or online – plays a significant role in how they feel about the experience. It’s not just about performing the service; it’s also about building trust, keeping them committed and getting them engaged so that a long-lasting relationship is developed. While there’s abundant research about trust and commitment in banking, not many studies have looked at how customers see both the online and offline sides of banking, especially in credit unions. Credit unions emphasize proximity with members, so it’s important to understand how these different ways of interacting affect how much people trust the credit union and stay committed to it and how engaged they feel as members. This study aims to explore this issue.

A quantitative survey was conducted using partial least squares structural equation modeling (PLS-SEM). The survey was answered by 195 members of one of the most traditional credit unions in Brazil.

The results suggest that both face-to-face and digital channels’ dimensions impact trust, which in turn influences commitment. Engagement is influenced by both trust and commitment, providing inputs to the value co-creation process.

The research presents relevant contributions to academia by deepening the understanding of the role of different service channels in value co-creation and customer engagement. It also offers significant contributions to the cooperative, which can improve the member experience in interaction channels to consequently develop lasting relationships and stimulate the engagement of its members.

This study aims to identify the impact of drivers of citizens’ e-loyalty on e-government services. This study focused on the impact of e-service quality (e-SQ) on e-loyalty, mediated by e-trust. In addition, the study examined the moderating role of system anxiety.

To accomplish the study’s objectives, a self-administered questionnaire was created to collect data, and the sample size was chosen to align with the requirements of the structural equation modeling (SEM) approach. Out of the distributed questionnaires, 532 were deemed valid and suitable for analysis in this research. Data screening was performed, and no questionnaires were excluded from the analysis.

The study findings underscore the significance of enhancing e-SQ for improved trust, satisfaction and engagement in e-government initiatives. Decision-makers should prioritize streamlined processes, user-friendly interfaces and responsive support. Crucial elements for fostering trust include transparency, accountability and data security. Personalized services, citizen engagement and continuous feedback evaluation contribute to citizen satisfaction and loyalty. Addressing system anxiety is vital through clear instructions and accessible support. Implementation of these recommendations is expected to lead to successful e-government initiatives and increased e-service adoption. The study highlights the importance of maintaining high e-SQ standards, trust-building measures and adopting a holistic approach for sustained positive user experiences in government e-services.

This study found a significant positive influence of e-SQ on e-loyalty showing a strong positive correlation between e-SQ, e-loyalty and e-service. Statistical analysis reported a significant positive mediating role of e-trust in the relationship between e-SQ and e-loyalty. Moreover, system anxiety exhibited a strong significant negative moderating role on the relationship between e-SQ and e-trust.

Practical implications of the study emphasize the importance of improving e-SQ, enhancing transparency, strengthening security measures, adopting user-centric design principles and continuously evaluating and improving e-services. By implementing these recommendations, decision-makers can foster trust, satisfaction and improve engagement and adoption of e-government initiatives in the Jordanian context as a developing country.

The study explores the factors influencing citizens’ loyalty to e-government services in Jordan, acknowledging the unique challenges faced by the country as a developing nation. It focuses on understanding these factors within the Jordanian context, where e-government initiatives are increasingly implemented to enhance public services and governance. The research investigates the mediating role of e-trust and the moderating effect of system anxiety, providing valuable insights into the drivers of citizens’ loyalty.

The prime aim of this research is to examine the mediating effect of patient trust on the relationship between service quality and patient satisfaction in Amman, Jordan.

A convenience sample of patients visiting seven out of the 44 private hospitals in Amman was selected. In total, 385 questionnaires were distributed among patients, with a response rate of 91%. Of these, 35 were disregarded, and the data from the remaining 350 questionnaires were analyzed using SPSS.

The results showed that service quality has a statistically significant effect on patient satisfaction. Furthermore, service quality has a statistically significant effect on patient trust, while there is also a statistically significant effect of patient trust on patient satisfaction. The findings also revealed that patient satisfaction partially mediates the relationship between service quality and patient satisfaction.

Generating more insights in the areas of service quality, patient trust and patient satisfaction while also extending the findings of earlier studies. The prior studies in the literature that focus on customers are given a more advantageous perspective by using Jordanian hospitals as a population to test the model of this research. The majority of past research on service quality, patient satisfaction and patient trust in the healthcare sector has been conducted in western nations.

This article presents a systematic framework with a meta-analytic approach to finding various antecedents, consequents and moderating effects of trust in financial services.

A meta-analysis of 165 articles was performed, which generated 272 observations in a cumulative sample of 86,968 respondents.

The results of this meta-analysis demonstrated seventeen antecedents of trust constructs and four consequents. Most of these relationships were meaningful and consistent. The authors also found some significant moderators related to culture (individualism, masculinity and long-term orientation) and context (innovation index and device type).

This meta-analysis reviewed the relationships found throughout the theoretical framework about the trust construct in financial service contexts, identifying new paths for future research. Some limitations, such as the non-use of qualitative studies and the selection of concepts, exist in the secondary data and should be noted.

The present study can assist financial system managers in decision-making because the findings from the meta-analysis are more consistent than those from traditional primary surveys.

This research tested the impact of antecedents, consequents and moderators of trust in the financial services sector and presented significant results using a meta-analytic review. This meta-analysis contributes to the marketing literature by offering a set of empirical generalizations, including relationship coefficients and fail-safe calculated numbers (FSN).

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

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 investigate the role of e-service quality and e-trust for achieving e-loyalty among digital library users in the digital economy. The current study examined the mediation effect of e-trust in the connection between e-service quality and e-loyalty.

Cross-sectional design was applied for the purpose of data collection and empirical findings of the study. Survey method was used for the purpose of data collection from 783 online digital libraries users.

Results reveal that e-service quality positively predicts e-trust in digital economy. Moreover, in digital economy e-trust predicts the e-loyalty. The findings also reveal that e-trust mediates the relationship between e-service quality and e-loyalty links.

The finding of study suggested that individual level e-trust have a strong effect on e-loyalty in digital economy. Individual level aspects in term of e-service quality have a direct effect on e-trust to improve their e-loyalty. The finding indicated that digital libraries users in future will be more loyal toward e-service quality providers. The results are useful for the management of digital libraries and academia for future. This is the first study that includes e-service quality, e-trust and e-loyalty in the context of digital economy.

This study aims to examine the role of trust and digital literacy in influencing citizens’ adoption of e-government services.

Grounded in the technology acceptance model (TAM), a research model was developed focusing on e-filing services adoption. Hypotheses were formulated to assess the moderating effect of digital literacy on the relationship between trust and the key TAM determinants of perceived usefulness and perceived ease of use. A questionnaire-based survey of 876 citizens who have used e-filing using the snow-ball sampling technique was adopted to generate data. The data was analyzed using PLS-SEM through the aid of SmartPLS 4 to assess the measurement model and structural relationships.

Trust positively influences perceived usefulness and ease of use, which in turn drive adoption. Additionally, digital literacy significantly moderates the impact of trust on usefulness and ease of use perceptions – the effect is stronger for higher digital literacy.

The study adopted a single country developing economy context limiting cross-cultural applicability. Second, the focus on e-filing adoption precludes insights across other e-government services. Third, the reliance on perceptual measures risks respondent biases and fourth, the study is a cross-sectional survey design.

The findings emphasize multifaceted strategies to accelerate e-government adoption. Nurturing citizen trust in e-government systems through enhanced reliability, security and transparency remains vital. Simultaneously, initiatives to cultivate digital access, skills and proficiencies across population segments need to be undertaken.

This study integrates trust and digital literacy within the theoretical model to provide a more holistic understanding of adoption determinants. It highlights the need for balanced technology-enabled and social interventions to foster acceptance of e-government services.