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The development of waqf is growing rapidly. To maintain progress of waqf per se sharia, Muslim scholars try to present Islamic values (IVs) in activities and operations of waqf institutions. To find out implementation of IVs in waqf institutions, previous research was carried out as a guide for future research; this study aims to systematically review the literature.

This study draws on the implementation of IV in waqf institutions. Through the Preferred Reporting Items for Systematic Review and Meta-analysis for Protocol approach, 327 articles were collected, which were then extracted to gain lessons from various case studies related to problems in waqf institutions.

This study illustrates tawheed, justice, accountability, trust, mutual consultation, Allah consciousness, enjoin virtue and avoiding evil and objectives of shariah in waqf governance.

The materials used in the systematic literature review were retrieved from few databases. The use of more academic databases will be better and more diverse, in addition to the repertoire of knowledge related to management and strategies at waqf institutions.

The identified values provide a framework for practitioners, policymakers and researchers to guide their efforts in developing and governing waqf institutions in accordance with Islamic principles.

The findings provide deep insights into the current state of IV in waqf institution in literature. This paper highlights many gaps in the literature and suggests directions for future studies to advance the understanding of implementation of IV. This study will help researchers to identify the new dimensions of research and contribute to the literature.

The present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation of loyalty in human–AI relationships. It intended to assess the predictive power of the developed model based on a training-holdout sample procedure. It further attempted to map and examine the predictors of loyalty, strengthening such relationship.

Partial least squares structural equation modeling (PLS-SEM) based on bootstrapping technique was employed to examine the higher-order effects pertaining to human–AI relational intricacies. The sample size of the study comprised of 412 AI assistant users belonging to millennial generation. PLS-Predict algorithm was used to assess the predictive power of the model, while importance-performance analysis was executed to assess the effectiveness of the predictor variables on a two-dimensional map.

A positive relationship was found between “Perceived Authenticity” and “Loyalty,” which was serially mediated by “Perceived-Quality” and “Animacy” in human–AI relational context. The construct “Loyalty” remained a significant predictor of “Emotional-Attachment” and “Word-of-Mouth.” The model possessed high predictive power. Mapping analysis delivered contradictory result, indicating “authenticity” as the most significant predictor of “loyalty,” but the least effective on performance dimension.

The findings of the study may assist marketers to understand the relevance of AI authenticity and examine the critical behavioral consequences underlying customer retention and extension strategies.

The study is pioneer to introduce a hybrid AI authenticity model and establish its predictive power in explaining the transactional and communal view of human reciprocation in human–AI relationship. It exclusively provided relative assessment of the predictors of loyalty on a two-dimensional map.

Although a fashion subscription offers significant environmental benefits by transforming physical products into shared services, most customers are reluctant to adopt it. This hesitation, exacerbated by poor communication from brands that primarily emphasize its personal benefits, hinders its sustainable growth. This study aims to examine specifically which concerns increase hesitation, and the role of explicitly informing consumers about the service’s environmental benefits in mitigating the impact of consumer concerns on their hesitation.

Data were collected through an online experiment with more than a thousand U.S. adults nationwide and analyzed using a two-step analysis. First, theory-based causal modeling was conducted to examine the effects of consumer concerns on hesitation, accounting for ambivalence as a mediator and informed environmental benefits as a moderator. Second, machine learning was used to cross-validate the findings.

Results show that certain types of consumer concerns increase hesitation, significantly mediated by ambivalence, and confirm that informed environmental benefits mitigate the effects of some concerns on hesitation.

This study contributes to building on the hierarchy of effects theory by exploring negatively nuanced constructs – concerns, ambivalence and hesitation – beyond the traditional constructs representing the cognitive, affective and conative stages of consumer decision-making. Findings provide strategic guidance to brands on how to communicate the new service to consumers. Leveraging theory-based causal modeling with machine learning-based predictive modeling provides a novel methodological approach to explaining and predicting consumer hesitation toward new services.

This study aims to integrate Delone and McLean’s information system success (DMISS) model with the innovation resistance model to evaluate the relationship between behavioural intention to use (BIU) and innovation resistance in the context of neo-banking. The primary objective of this study is to identify the drivers of neo-banking adoption and the barriers to its adoption and incorporate constructs such as e-trust (ETR) and personal innovativeness (PIV) to provide a more comprehensive understanding of the factors influencing neo-banking adoption.

A structured survey-based questionnaire was used to gather data from a diverse sample population in India. The Partial Least Squares Structural Equation Modeling (PLS-SEM) model was employed to further examine the adoption of neobanking services and users' intention to use neobanking services.

This study reveals a significant correlation between BIU and the uptake of neobanking services, demonstrating the value of consumers' readiness to embrace these offerings. However, resistance to usage has emerged as a major obstacle for consumers concerned about data security, technology reluctance and perceived risks associated with digital-only neobanks.

Analysing the driving and restraining factors will provide substantial information on the formation of consumers' decision-making processes in the Indian banking industry, which is undergoing rapid digital transformation. This information is of great importance to scholars, practitioners and policymakers, as it highlights the factors that may facilitate or impede the adoption of neobanking in India. The outcomes of this analysis will be of particular interest to researchers, experts and stakeholders in the field as they will provide valuable insights into the dynamics of consumer behaviour in the Indian banking sector.

This study represents an initial effort to examine BIUs and usage resistance within the rapidly developing neobanking sector in India. The findings of this study build on the existing research in this area and contribute to the ongoing discussion on the adoption of neo-banking.

Consumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore the impact of social commerce on the co-creation process of brand value in a social commerce setting.

A questionnaire survey was conducted online to gather 300 eligible responses. The data were empirically validated using the partial least squares structural equation modelling (PLS-SEM) method.

The results indicated that brand engagement (BEN) is vital to brand co-creation (BCC) in social commerce, which could be driven by social-hedonic value (SHV) and social information sharing (SIS).

This study stresses the influence of consumer autonomy in the process of BCC by probing the role of SIS. Moreover, by considering the prevailing trend in social media, this study offers a nuanced perspective on the values of social commerce from the viewpoint of SHV.

This study may serve as a useful guide for practitioners to improve their digital outreach strategy on social commerce to forge stronger relationships, encourage further engagements and promote value co-creation within their brand community.

This examines the effect of relationship quality (RQU) and BEN on BCC through a relational viewpoint.

This study aims to examine organizational and social capital’s impact on adopting social media analytics (SMA) in the banking sector. It also explores the effects of SMA on competition analysis and Fintech innovation. Moreover, the study investigates the mediating impact of competition analysis on the relationship between SMA and Fintech innovation.

Data were collected from 284 respondents and analyzed using the SEM-PLS path modeling technique.

The findings confirm a significant role of organizational and social capital in adopting SMA. This study also indicates a significant impact of SMA on competition analysis and Fintech innovation. Moreover, it reveals a significant mediating impact of competition analysis on the association between SMA and Fintech innovation.

This study provides invaluable contributions for both academic and banking industry professionals. The study aimed to fill the literature gap, where there is a lack of an integrated framework examining how organizational capital, social capital, SMA and competition analysis interact to create Fintech innovations in the banking sector. It also offers novel implications to banking sector stakeholders, providing them with a thorough understanding of SMA’s importance and pivotal role and the drivers of finding innovative Fintech solutions.

The study investigates whether the customer experience, satisfaction and continuance intention interrelationships in mobile banking services vary across Generation (Gen) Y and Gen Z consumers.

The data were collected using online surveys from 224 Gen Y and 238 Gen Z mobile banking users. The study uses the partial least squares structural equation modelling (PLS-SEM) technique and an asymmetrical analytical approach through fuzzy set qualitative comparative analysis (fsQCA) to examine the effects of five experience dimensions (pragmatic, usability, affective, sensory and social) and satisfaction on continuance intention.

Whilst Gen Z values pragmatic and affective experiences more than Gen Y and assigns less importance to usability experience (Uxp), both PLS-SEM and fsQCA did not find any significant impact of sensory experience (Sxp) in any cohort. In contrast, fsQCA suggests that social experience could play a significant role for specific segments within both generations. Furthermore, PLS-SEM demonstrates a greater impact of satisfaction on continuance intention for Gen Y than for Gen Z.

The sample consists of high/middle-income urban consumers in one country. Future research could investigate low-income and semi-urban/rural consumers and consumers living in other countries.

Banks must recognise the diversity within and between Gen Y and Gen Z, adopting a segmented user experience approach. Users within each generation may prioritise distinct aspects of the mobile banking app and understanding the specific differences between Gen Y and Gen Z preferences is crucial.

Encouraging mobile banking users to engage in community-driven financial initiatives can inspire non-users, promoting digital financial inclusion.

To the best of the authors' knowledge, this study is the first to compare the customer experience-based psychological patterns of continued mobile banking use in Gen Y and Gen Z.

The purpose of this study is to examine the effect of innovation in e-service delivery on trust and loyalty of Indian customers in the banking sector.

The stated relationships were drawn on the grounded theories by developing a conceptual model. Purposive sampling technique was used to collect the data from 400 bank customers who were availing the e-innovation services.

The findings of the study reveal that e-service innovation has a direct impact on e-service delivery and trust. The existence of a positive relationship between e-service delivery, trust and loyalty in the banking sector of India has also been found.

The findings of the study would help the practitioners and experts in the related fields to understand and adopt the innovative management practices in financial services in developing country like India.

Continuous e-innovation can create a distinct competitive advantage and avert the risk of vanishing from the market. The study contributes in terms of e-service innovation and e-service delivery in the banking sector in India. The impact of e-service innovation on banking outcomes begins with e-service and trust, these factors positively influences e-service innovation. Furthermore, e-service innovation exerts a positive effect on e-service delivery, trust and loyalty, thereby improving organizational value.