Search results

This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.

Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.

This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.

This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.

The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.

Sustainable tourism development.

This study finds the expansion of new theory competitiveness of ecotourism destinations.

This paper aims to investigate the impact of sharia governance on organizational performance in zakat management institutions in Indonesia over the period 2017–2021.

This study examined 33 zakat management organizations in Indonesia from 2017 through 2021 for 151 observations. Gross allocation ratio and growth of ZIS collection are used as organizational performance measures. The independent variables in this study are board of director size, educational background of the board of directors, sharia supervisory board size, sharia supervisory expertise, supervisory size and management size. Also, the study uses size, age and audit opinion as control variables to help measure the relationship between sharia governance and organizational performance.

This study shows that the board of directors and supervisory size positively and significantly affect organizational performance. Then, the educational background of board of directors has a negative and significant effect on organizational performance. In Model 1, sharia supervisory board size has a positive and significant effect on organizational performance, but in Model 2, sharia supervisory board size does not. Meanwhile, sharia supervisory expertise and management board size do not affect organizational performance.

The findings in this study illustrate the importance of transparency in the zakat management organization. Transparency helps minimize conflicts of interest and information asymmetry in the zakat management organization. In addition, sharia governance mechanism helps regulators and top management to make effective policies to improve and enhance organizational performance.

Sharia governance is essential for zakat management organizations to increase accountability, credibility and public trust and support the practice of zakat management organizations.

This study discusses sharia governance and organizational performance in socioreligious organizations, especially zakat management organizations, which are still rarely carried out. Thus, this study broadens the insights of sharia governance and highlights the importance of performance appraisal in zakat management organizations.

Video gaming has become a popular leisure-time activity with two to three billion users worldwide (Newzoo, 2017; Vuong et al., 2021). Although existing knowledge shows its relationship with anger and aggression, the present study aims to extend this focus by assessing whether anger expression mediates the association of gaming addition with social interaction among Pakistani adolescent boys.

A sample of 300 adolescent boys (M age = 14.6, SD = 1.2) from private schools was selected. The participants were assessed on Anger Expression Scale (Shafaqat, 2016), Social Interaction and Technology Use Questionnaire (Henderson et al., 1999) and Game Addiction Scale (Lemmens et al., 2009) to assess their levels of anger expression, social interaction and gaming addiction.

Analysis revealed that gaming addiction and anger expression were significantly and negatively related to social interaction. Gaming addiction was positively correlated with anger expression. Mediation analyses showed that anger expression significantly explained the negative link between gaming addiction and social interaction.

The study highlights anger and lack of social interaction as important consequences of gaming addiction in adolescent boys.

This paper provides a critical assessment of Indonesia’s pioneering initiative in issuing cash waqf-linked sukuk (CWLS), a hybrid government sukuk integrated with Islamic endowment funds (waqf). Focused on addressing urgent health-care and essential expenditures, this study aims to evaluate the features and performance of CWLS sales.

Using a literature review and in-depth interviews, this study comprehensively analyzes CWLS from multiple perspectives.

The research indicates that CWLS effectively mobilizes public funds, benefiting the government by supporting essential needs and enhancing waqf management in Indonesia. Moreover, it significantly improves the quality of life through social projects financed by CWLS returns.

The study offers actionable recommendations for enhancing CWLS performance in Indonesia and serves as a suggestion for other governments considering similar financial instruments.

As a socially oriented financial tool, CWLS emerges as a pivotal strategy for enhancing national waqf management and promoting equitable wealth distribution.

This study represents the first critical assessment of CWLS in Indonesia, advancing theory by integrating Islamic finance principles with governmental fiscal policies through innovative sukuk structures. It contributes to the distributive justice theory by demonstrating how CWLS operationalizes fairness and equity in resource allocation.

This study aims to test the conceptual model of the factors of learning organization and explore the degree of mediation of organizational culture in the relationship between leadership styles, personal commitment, and learning organization in school education.

The learning organization profile (LOP) and OCTAPACE profile served to measure learning organization and organizational culture, respectively. The researchers developed scales to measure principals’ leadership styles and teachers’ personal commitment. Data included 750 school teachers.

This study found a good fit in the proposed conceptual model. The organizational culture had a significant mediating effect on the path of leadership styles and learning organization and a significant mediating effect on the path of personal commitment and learning organization.

To promote a more comprehensive learning culture, school principals should consider two specific organizational mechanisms: the intangible cultural components (such as corporate values, beliefs, and norms) and the tangible structural components (such as organizational structure and workflow systems). These two domains play a crucial role in creating a conducive learning environment.

This study aims to understand the potential influence of several factors that may affect females’ intentions to undergo breast cancer screening (BCS) in Jordan.

A positivistic research methodology was used with the aim of gathering and interpreting the data quantitatively. A questionnaire was created and given to the selected respondents. Females who were at least 18 years old made up the study’s population. In addition, using a sample size of n = 237 was warranted and appropriate. Data were collected from Karak, Tafilah, Aqaba and Ma’an, four cities in southern Jordan. Smart partial least squares version 4.0.9.2 and SPSS version 26 have been used for data analysis.

The findings showed that attitudes, subjective norms, disease susceptibility and cues-to-action among females have a significant impact on their intention to undergo BCS. Whilst, the benefits of using BCS have not been shown to have a substantial impact on females’ intentions to undergo BCS. Furthermore, this study indicated that there were no significant differences between females’ intention to conduct BCS and the control variables (age and education).

There are specific restrictions in place. First, although the study’s sample size of respondents was adequate, it would be advantageous to have a larger sample size in the future to improve the reliability of the results. Second, the BCS behavior in Jordan’s southern cities was the sole subject of this study. Therefore, it would be beneficial to also explore other areas of Jordan. Third, only female candidates for BCS were examined in this study. It might be necessary to do a more thorough investigation to find the obstacles preventing them from performing the test. Fourth, the current study did not analyze the actual behavior required to perform the BCS test; instead, it sought to understand females’ intentions for undergoing the test. Therefore, it would be beneficial to research actual female behavior toward BCS in the future. The current study also used a quantitative research methodology. Therefore, more study is required using qualitative techniques like focus groups, interviews and brainstorming to better understand females’ intentions toward BCS.

According to the author’s best knowledge, this study marks the first effort to highlight behavioral intentions toward performing BCS in the Jordanian context. In addition, by incorporating extra factors obtained from the health belief model within the context of BCS behavior, the current study broadens the theory of reasoned action. This can be viewed as a significant contribution to the subject’s theoretical foundations. Besides, the current study incorporated demographic characteristics and used them as a control variable. This can be seen as another contribution to the literature on health-care marketing in the case of BCS.

This study aims to examine the relationship between leadership behavior, organizational justice, person–organization fit and organizational citizenship behavior in the context of Vietnamese academic libraries. Using social exchange theory, this research indicates the impact of leadership behavior on organizational citizenship behavior. This study also examines the mediating role of organizational justice and person–organization fit in the relationship between leadership behavior and organizational citizenship behavior.

A total of 248 responses are obtained from academic library personnel in Vietnam, which are used to examine the research hypotheses.

The findings partially support the hypotheses because two leadership dimensions significantly influence organizational citizenship behavior, and organizational justice mediates the relationship between relationship-oriented leadership and organizational citizenship behavior. However, person–organization fit does not mediate the relationship between leadership behavior and organizational citizenship behavior.

Results indicate that two types of leadership behavior can significantly impact the organizational citizenship behavior of the librarians. Academic libraries should provide opportunities to librarians to engage in citizenship behavior by implementing organizational justice intervention.

This research contributes to the social exchange theory by integrating leadership behaviors, organizational justice, person–organization fit and organizational citizenship behaviors. Given that no prior studies have investigated the associations among four constructs, the obtained findings are a new exploration.

Financial illiteracy could pose a significant challenge to micro-entrepreneurs. There is a pressing need to foster financial literacy;, therefore, the purpose of this study is to examine particularly how Islamic financial literacy may enhance their businesses toward achieving financial sustainability.

This study uses quantitative methods. Three hundred (300) questionnaires were distributed to micro-entrepreneurs in three states in Malaysia, namely, Kedah, Kelantan and Terengganu. This study used the partial least squares (PLS) analysis using the SmartPLS 3.2.

The study found that the most robust Islamic financial literacy factors are financial behavior, followed by financial knowledge and financial attitude .The outcome of Islamic financial literacy, which is financial sustainability, also demonstrates a positive and significant relationship.

All variables show a positive and significant relationship toward financial sustainability. Stated differently, micro-entrepreneurs are aware that understanding the basic concepts of Islamic finance may help them achieve long-term financial sustainability

This study incorporates Islamic financial concepts into financial literacy while also assessing demographic aspects like years of business operation and education as moderators, which were not considered by previous studies.

This study aims to analyze public discourse on decentralized finance (DeFi) and central bank digital currencies (CBDC) using advanced natural language processing (NLP) techniques to uncover key insights that can guide financial policy and innovation. This research seeks to fill the gap in the existing literature by applying state-of-the-art NLP models like BERT and RoBERTa to understand the evolving online discourse around DeFi and CBDC.

This study uses a multilabel classification using BERT and RoBERTa models alongside BERTopic for topic modeling. Data is collected from social media platforms, including Twitter and LinkedIn, as well as relevant documents, to analyze public sentiment and discourse. Model performance is evaluated based on accuracy, precision, recall and F1-scores.

RoBERTa outperforms BERT in classification accuracy and precision across all metrics, making it more effective in categorizing public discourse on DeFi and CBDC. BERTopic identifies five key topics frequently discussed, such as financial inclusion, competition and growth in DeFi, with important implications for policymakers.

The insights derived from this study provide valuable information for financial regulators and policymakers to develop more informed, data-driven strategies for implementing and regulating DeFi and CBDC. Public discourse analysis enables policymakers to understand emerging concerns and trends critical for crafting effective financial policies.

This study is among the first to use advanced NLP models, including RoBERTa and BERTopic, to analyze public discourse on DeFi and CBDC. It offers novel insights into the potential challenges and opportunities these innovations present. It contributes to the growing body of research on the intersection of digital financial technologies and public sentiment.

Tourism is a vulnerable industry easily influenced by safety and security challenges such as violence, health issues and natural disasters. To quickly recover from negative impacts in the tourism sector, the industry must adapt to changes and cope with extreme conditions. In this regard, the purpose of this paper is to understand the factors influencing the tourism industry’s adaptive capacity to volcanic eruptions and the COVID-19 pandemic.

Using binary logistic regression, a quantitative approach was used to answer the research question regarding the adaptive capacity against the eruption and the COVID-19 pandemic. Furthermore, a semiqualitative method was used to identify the tourism industry’s coping strategy in dealing with the eruption and the COVID-19 pandemic.

According to the research findings, the tourism industry was more affected by the COVID-19 pandemic than by the eruption. In addition, various determinant factors have influenced the adaptive ability to the eruption and the COVID-19 pandemic, and this study offers successful strategies for improving adaptive capacity and enhancing resilience. Finally, this study indicates that to deal with current issues, multi-hazard risk assessments should be integrated with adaptive capacity hazard type elements to reduce future disaster risks and improve tourism business capacity.

The tourism industry is the most important economic pillar in developing countries. If disasters are not adequately understood, they have the potential to halt the tourism industry. However, no research has been conducted to examine the adaptive capacity of the tourism sector in disasters, especially in volcanic eruptions and the COVID-19 pandemic.