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The purpose of this study is to explore how changes in customer deposits influence the banking profits. The banking sector’s growth-promoting role is supported by its ability to perform the essential function of financial intermediation. However, Islamic banks go the extra mile by balancing the wealth of the rich and the poor and distributing risk more evenly. The effective operation of the services industry, including Islamic banks, depends on the active participation of their customers. Customers’ deposits in their accounts with Islamic banks are a crucial funding source. In actuality, two distinct sorts of demanding customers exist. Their expectations of the services provided by Islamic banks are different.

Panel quantile regression is applied using the collected data from Islamic banks’ audited financial statements for the time period from 2001 to 2021.

This study is expected to provide the breakdown of shares of current and saving deposits for Islamic banks, which supports managing liquidity risk. This breakdown will help the policymakers lay down a framework for managing the share of current and saving deposits in their favor.

The study aims to empirically evaluate whether changes in the current and saving account patronization have a role in the liquidity risk. And determine how banks need to manage their deposit structure to manage liquidity.

Previous studies have been nose-dive in providing country-level comparisons of different types of deposits in the context of liquidity risk management.

Accreditation represents a quality of academic standards and validation, and its impact on business schools is multifaceted. Accredited institutions are widely acknowledged for their higher quality, financial stability, stakeholder acceptance and overall growth compared to non-accredited educational institutions. Given these positive outcomes, this study aims to explore the role of accreditation in fostering financial innovation and business sustainability.

The study used a qualitative design to understand this relationship, engaging 36 leaders from Advance Collegiate Schools of Business-accredited business schools in the Gulf Cooperation Council region as participants to collect data. Semi-structured interviews were conducted to gain an in-depth understanding of the topic. Data were analysed using the content analysis method.

That accreditation significantly influences the business sustainability of these schools. In addition, although the direct impact of accreditation on financial innovation may not be immediately apparent, it was observed that financial inflows experienced remarkable growth after obtaining accreditation.

While the effects of accreditation have been thoroughly researched, its influence on financial innovation and business sustainability remains unexplored. This study aims to discern if accredited educational institutions excel in financial innovation and maintaining sustainable business practices. These findings have important implications as they guide university administrators to maximise the benefits of accrediting their business schools.

The Metaverse holds vast amounts of user data, making it essential to address threats to its confidentiality, integrity and availability. These threats are not purely technological, as user actions and perceptions, shaped by psychological factors, can influence cybersecurity challenges. Thus, a holistic approach incorporating technological and psychological dimensions is crucial for safeguarding data security and privacy. This research explores users’ cybersecurity behavior in the Metaverse by integrating the technology threat avoidance theory (TTAT) and the theory of planned behavior (TPB).

The model was assessed using data collected from 746 Metaverse users. The empirical data were analyzed using a dual structural equation modeling-artificial neural network (SEM-ANN) approach.

The main PLS-SEM findings indicated that cybersecurity behavior is significantly affected by attitude, perceived behavioral control, subjective norms, perceived threat and avoidance motivation. The ANN results showed that perceived threat with a normalized importance of 100% is the most significant factor influencing cybersecurity behavior. The ANN results also showed that perceived severity with a normalized importance of 98.79% significantly impacts perceived threat.

The novelty of this research stems from developing a unified model grounded in TTAT and TPB to understand cybersecurity behaviors in the Metaverse. Unlike previous Metaverse studies that solely focused on measuring behavioral intentions or user behaviors, this study takes a step further by evaluating users’ cybersecurity behaviors. Alongside its theoretical insights, the study offers practical recommendations for software developers, decision-makers and service providers.

This paper aims to provide a conceptual framework containing SERVQUAL original dimensions and add two additional dimensions: patient satisfaction and loyalty in the hospital SQ model that demonstrates the relationship between hospital service quality, patient satisfaction and loyalty from patients’ perspective.

This research conducted a thorough literature review using specific keywords and electronic databases, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Through analysis, the key dimensions of service quality in Indian hospitals were identified, with the addition of patient satisfaction and loyalty as variables. Of 1,000 initially downloaded papers, 497 were included.

While many researchers rely on the SERVQUAL model, some introduce new or modified dimensions, often renaming existing ones. This study identifies the RATER factors as the main dimensions patients use to evaluate hospital services. This study finds a positive relationship between service quality, patient satisfaction and loyalty.

An understanding of how health-care service quality dimensions, directly and indirectly, affect patient satisfaction and loyalty is important for hospital marketing managers. This study helps them take action to improve patient satisfaction, which encourages patients to be loyal.

This research provides a comprehensive framework for measuring health-care service quality, combining SERVQUAL dimensions and new variables. This study offers useful insights for academics and health-care professionals, promoting more accurate measurement and enhancement of service quality. The use of PRISMA in this context is also innovative, as it is less common in administrative health-care research.

Drawing on protection motivation theory (PMT), this study aims to explore the factors that enhance cybersecurity awareness among online banking users in Malaysia. More specifically, it investigates the influences of perceived vulnerability, perceived severity, technical knowledge, privacy intrusions and privacy awareness on perceived threats and then examines the effects of perceived threats, along with response efficacy and self-efficacy, on cybersecurity awareness, considering the moderating role of fear of cyberattacks.

A survey-based research approach was applied, and the hypotheses were tested using a sample of 324 respondents, employing partial least squares structural equation modeling (PLS-SEM).

The results show that perceived vulnerability, perceived severity, privacy intrusions and privacy awareness significantly influence perceived threats, while technical knowledge does not influence perceived threats. Furthermore, it was found that response efficacy and self-efficacy both enhance cybersecurity awareness, while perceived threats have no influence on it. Finally, our research confirmed the moderating role of fear of cyberattacks in the relationship between self-efficacy and cybersecurity awareness.

For individuals, the study highlights the significance of fear, privacy awareness and response efficacy in shaping cybersecurity perceptions, paving the way for enhanced and tailored awareness programs. Moreover, the understanding of relationships between perceived threats, response efficacy and self-efficacy empowers individuals to craft personalized risk mitigation strategies, fostering confidence in navigating the digital landscape. Businesses can leverage the insights for informed design of employee training programs and data-driven decision-making in cybersecurity investments. Government entities, recognizing the nuanced relationship between perceived threats and cybersecurity awareness, are encouraged to formulate context-specific policies and foster cross-sector collaboration for comprehensive cybersecurity initiatives.

This research extends PMT by incorporating additional antecedent variables – namely, technical knowledge, privacy intrusions and privacy awareness within the online banking context that have been overlooked thus far. Furthermore, it delves into the unique role of fear of cyberattack as a moderating variable, thereby enhancing our understanding of PMT.

This study aims to critically examine the multifaceted challenges, innovative solutions and strategic approaches required to successfully integrate halal tourism with Sasak cultural heritage in Setanggor Village. Adopting a comprehensive stakeholder perspective, it analyses insights from four key sectors: governmental bodies, local community members, academic institutions and industry practitioners. Through this multidimensional approach, the study aims to formulate an effective strategy for seamlessly blending traditional Sasak cultural elements with modern halal tourism practices.

The study uses the sophisticated analytical network process (ANP) methodology to systematically identify, evaluate and analyse the complex network of factors influencing Sasak cultural integration within Setanggor Village’s halal tourism framework. To ensure comprehensive data collection and robust analysis, a mixed-method approach combining quantitative and qualitative techniques is implemented. This includes structured questionnaires for systematic data gathering, focus group discussions for collective insights, in-depth interviews for detailed stakeholder perspectives and direct observational studies for real-world context understanding.

This conceptual investigation reveals significant research gaps in the current understanding of halal tourism development in Setanggor Village. The study presents a strategic framework that identifies and prioritises crucial elements necessary for successful integration. The findings highlight critical priorities that must be addressed to ensure the sustainable growth and long-term viability of halal tourism in the region while preserving authentic Sasak cultural values.

The research outcomes provide valuable insights and actionable recommendations for stakeholders in Setanggor Village, particularly those involved in strategic planning and policy development. The findings serve as a comprehensive reference for developing and implementing effective halal tourism initiatives that align with local community needs, cultural preservation goals and economic development objectives.

The research demonstrates significant social implications by offering a sustainable tourism development model that preserves cultural heritage while promoting economic opportunities. By integrating Sasak cultural elements with halal tourism principles, the study provides a framework for community empowerment, enhanced social cohesion and economic diversification. The approach promotes cross-cultural understanding, creates employment opportunities for local communities and establishes a model for inclusive tourism development that respects traditional values while adapting to contemporary market needs.

This study uniquely contributes to the field by offering evidence-based, practical insights to guide decision-makers and industry practitioners in developing halal tourism strategies that effectively balance modern tourism requirements with traditional cultural preservation. It provides a blueprint for creating sustainable tourism models that respect, celebrate and integrate local cultural heritage.

Mianzi can powerfully influence tourists’ behavior. Compared with product brands, destination brands are more multidimensional, consisting of intangible and tangible elements. Therefore, this paper aims to explore the relationships among the Chinese culture-related variable mianzi, destination product quality, destination service quality, destination brand value, destination brand resonance, destination brand self-congruity and destination overall brand equity.

A questionnaire survey was conducted in 2021, yielding 475 valid responses from tourists who had traveled to Hainan, China. Data was analyzed using structural equation modeling.

The results showed that mianzi plays a significant role in shopping destination brand equity, and the mianzi effect shapes tourists’ positive perceptions of destination product and service quality. Meanwhile, destination product quality and service quality enhance shopping destinations’ overall brand equity through destination brand value, brand resonance and brand self-congruity.

This study, focusing on shopping destinations, presents a novel view of brand equity. The research also uncovers influencing factors (e.g. product quality and service quality) that further enrich the destination brand equity model. Finally, findings offer valuable insights for academic research and the practical development of shopping destinations.

面子能有力地影响游客的行为。与产品品牌相比, 目的地品牌更加多维, 由无形要素和有形要素构成。因此, 本文旨在探讨与中国文化相关的变量面子、目的地产品质量、目的地服务质量、目的地品牌价值、目的地品牌共鸣、目的地品牌自我一致和目的地整体品牌资产之间的关系。

2021年对去过中国海南旅游的游客进行问卷调查, 最终获取了 475 份有效问卷。

果表明, 结果表明面子在购物目的地品牌资产中发挥着重要作用, 面子效应塑造了游客对目的地产品和服务质量的积极认知。同时, 目的地产品质量和服务质量通过目的地品牌价值、品牌共鸣和品牌自我一致提升了购物目的地的整体品牌资产。

本研究以购物目的地为重点, 提出了一种新颖的品牌资产观点。研究还发现了一些影响因素（如产品质量和服务质量）, 进一步丰富了目的地品牌资产模型。最后, 研究结果为学术研究和购物目的地的实际发展提供了宝贵的见解。

Mianzi puede influir poderosamente en el comportamiento de los turistas. En comparación con las marcas de producto, las marcas de destino son más multidimensionales y constan de elementos intangibles y tangibles. Por lo tanto, este artículo pretende explorar las relaciones entre la variable mianzi relacionada con la cultura china, la calidad del producto del destino, la calidad del servicio del destino, el valor de la marca del destino, la resonancia de la marca del destino, la autocongruencia de la marca del destino y el valor general de la marca del destino.

En 2021 se llevó a cabo una encuesta por cuestionario, que arrojó 475 respuestas válidas de turistas que habían viajado a Hainan, China. Los datos se analizaron mediante un modelo de ecuaciones estructurales.

Los resultados mostraron que el mianzi desempeña un papel significativo en el valor de marca de los destinos de compras, y que el efecto mianzi determina las percepciones positivas de los turistas sobre la calidad de los productos y servicios del destino. Por su parte, la calidad de los productos y servicios del destino mejora el valor de marca global de los destinos de compras a través del valor de marca del destino, la resonancia de la marca y la autocongruencia de la marca.

Este estudio, centrado en los destinos de compras, presenta una visión novedosa del valor de marca. La investigación también descubre factores influyentes (por ejemplo, la calidad del producto y la calidad del servicio) que enriquecen aún más el modelo de valor de marca del destino. Por último, los resultados ofrecen valiosas perspectivas para la investigación académica y el desarrollo práctico de los destinos de compras.

The purpose of this study is to develop a process model for inspection management of building facilities based on a financial analysis process using a facilities assessment index (FAI).

A piping system is surveyed using financial analysis to implement optimal inspection time and cost based on limited costs. Inspection technical sheets were sent to 30 installation consultant companies in Iran. Financial sheets were sent to hotel financial managers. There are three main stages in the development of the building facilities inspection management process: Stage I: gathering data, Stage II: developing a draft process model, Stage III: testing the process model and Stage IV: verification of process model. The research applies decision-making techniques to resolve various issues using cost data.

By analyzing historical data and using a process model, the author determined that the most cost-effective approach is to inspect and repair pipes when the FAI (condition index [CI]) reaches 70. At this point, the saving to investment ratio (SIR) is 1.69, indicating substantial economic benefits. For pipes with a CI below 55, replacement is recommended due to lower economic benefits from repair. When the CI reaches 40, the pipes are considered to be at the end of their useful life, and replacement is the optimal course of action. The process model was rigorously tested to ensure its accuracy in predicting future scenarios. By comparing model predictions with historical data and established solutions, the author found a strong correlation between the highest SIR and a CI of 70 in both historical and predictive data analyses. This consistency suggests that the model can effectively predict optimal inspection timing for the wastewater system.

Any decision-making is based on the existing cost and resource allocation of the buildings in inspection activities. This issue is very important: how to allocate the limited costs available for facilities inspection to achieve the best return on spending. This method helps building managers and engineers make better decisions to reduce inspection costs and increase facilities’ service life.

This study examines how and when family-friendly policies influence employee subjective career success in terms of work–home enrichment, perceived career success and work–home interference.

Pakistani employees (n = 369) working full-time in multiple organizations participated in this study. Structural equation modeling in Mplus 8.3 was utilized to test the hypotheses.

The results demonstrate that family-friendly policies foster work–home enrichment and perceived career success while reducing work–home interference. Furthermore, the findings suggest that an ethical work climate, in conjuction with family-friendly policies, leads to positive outcomes regarding employees’ subjective career success.

Based on the broaden-and-build theory, the authors provide new theoretical insights into how and when family-friendly policies affect subjective career success in terms of work–home enrichment, perceived career success and work–home interference. They also identify new boundary conditions (i.e. ethical work climate) that moderate the effect of family-friendly policies’ effect on subjective career success.

The artificial intelligence-enabled service robot has the potential to serve in consumer market. However, there is limited knowledge of how users across the globe respond to this innovation. Therefore, the purpose of this study is to develop an integrated research model led by three known theories, namely, diffusion of innovation, theory of planned behavior and DeLone and McLean model, and investigates consumer intention to adopt robot-enabled services.

The quantitative research design is selected in this research. Data were collected through structured questionnaires. Overall, 221 airline passengers participated in the service robot survey. These responses were further analyzed with a structural equation modeling approach.

Statistical findings have revealed that jointly perceived behavioral control, compatibility, innovativeness, information quality, system quality and service quality explained R² 50.3% variance in user attitude to adopt service robots. In addition to that robot appearance and user attitude have explained a large variance R² 48.9 % in user intention to adopt service robots. Nevertheless, results have revealed an insignificant moderating impact of robot appearance on user attitude and intention to adopt service robots.

Practically, this research has suggested that information quality, adequate system quality and service quality boost user confidence and encourage users to adopt services led by robots. Similarly, this research has suggested that compatibility brings ease to the use of robot technology and innovativeness attracts technology users. Therefore, policymakers should focus on compatible and innovative characteristics of robot services. Moreover factors such as subjective norms and perceived behavioral control have shown a positive impact in measuring user intention to adopt service robots and hence need managerial attention.

The current research is original, as it gives deep insight into understanding user behavior toward the adoption of service robots. Moreover, the integration of three known theories, namely, DeLone and McLean model, the diffusion of innovation model and the theory of planned behavior in service robot setting has made current research more unique. Similarly, this study is consistent with United Nations sustainable development goals and ignites SDG progress by promoting artificial-driven robotic technology in the services sector.