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The study aims to devise a comprehensive evaluation model (CEM) for evaluating spatial equity in the layout of elderly service facilities (ESFs) to address the inequity in the layout of ESFs within city center communities characterized by limited land resources and a dense elderly population.

The CEM incorporates a suite of analytical tools, including accessibility assessment, Lorenz curve and Gini coefficient evaluations and spatial autocorrelation analysis. Utilizing this model, the study scrutinized the distributional equity of three distinct categories of ESFs in the city center of Xi’an and proposed targeted optimization strategies.

The findings reveal that (1) there are disparities in ESFs’ accessibility among different categories and communities, manifesting a distinct center (high) and periphery (low) distribution pattern; (2) there exists inequality in ESFs distribution, with nearly 50% of older adults accessing only 18% of elderly services, and these inequalities are more pronounced in urban areas with lower accessibility, and (3) approximately 14.7% of communities experience a supply-demand disequilibrium, with demand surpassing supply as a predominant issue in the ongoing development of ESFs.

The CEM formulated in this study offers policymakers, urban planners and service providers a scientific foundation and guidance for decision-making or policy amendment by promptly assessing and pinpointing areas of spatial inequity in ESFs and identifying deficiencies in their development.

This study aims to answer the question: What dynamic capabilities do diverse humanitarian organizations have?

We examine this question through the lens of dynamic capabilities with sensing, seizing and reconfiguring capacities. The research team interviewed 15 individuals from 12 humanitarian organizations that had (a) different geographic scopes (global versus local) and (b) different missions (emergency response versus long-term development aid). We also gathered data from secondary sources, including standard operating procedures, company websites, and news databases (Factiva, Reuters and Bloomberg).

The findings identify the operational and dynamic capabilities of global and local humanitarian organizations while distinguishing between their mission to provide long-term development aid or emergency relief. (1) The global organizations, with their beneficiary responsiveness, reconfigured their sensing and seizing capacities throughout the COVID-19 pandemic by pivoting quickly to local procurement or regional supply chains. The long-term development organizations pivoted to multi-year supplier agreements with fixed pricing to counter price uncertainty and accessed social capital with government bodies. In contrast, emergency response organizations developed end-to-end supply chain visibility to sense changes in supply and demand. (2) Local humanitarian organizations developed the capacity to sense demand and supply changes to reconfigure based on their experiential learning working with the local community. The long-term-development local organizations used un-owned and scalable relief infrastructure to seize opportunities to rebuild affected areas. In contrast, emergency response organizations developed their capacity to seize opportunities to provide aid stemming from their decentralized decision-making, a lack of structured procedures, and the authority for increased expenditure.

We propose a theoretical framework to identify humanitarian organizations' operational and dynamic capabilities, distinguishing between global and local organizations and their emergency response and long-term aid missions.

This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.

The demand for halal food products is increasing globally. However, fraudulent activities in halal products and certification are also rising. One strategy to ensure halal integrity in the food supply chain is applying halal blockchain technology. However, to date, a few studies have assessed the factors and variables that facilitate or hinder the adoption of this technology. Thus, this study aims to assess the significant factors and variables affecting the adoption of halal blockchain technology.

A Delphi-based approach, using semi-structured interviews, was conducted with three food companies (chicken slaughterhouses, milk processing plants and frozen food companies). The cognitive best–worst method determines the significant factors and variables to prioritise halal blockchain adoption decisions.

The results showed that the most significant factors were coercive pressure and halal strategy. Nineteen variables were identified to establish a valid hierarchical structure for halal blockchain adoption in the Indonesian food industry. The five significant variables assessed through the best–worst method were demand, regulator, supply side, sustainability of the company’s existence and main customers.

The proposed halal blockchain decision structure can assist food companies in deciding whether to adopt the technology.

This study proposes 19 variables that establish a valid hierarchical structure of halal blockchain adoption for the Indonesian food industry.

This study aims to analyze the variables that affect residential real estate demand by millennials based on hedonic demand functions.

The method of analysis in this study is robust regression ordinary least square using cross-sectional data from Indonesian Family Survey Wave 5 (IFLS-5) with a sample of 1.672 households of male married millennials.

The aspect of millennial generation characteristics is significant on the variables of income, number of dependents, education level and presence of millennial generation in urban and rural areas. While the variable of age of the millennial generation does not significantly influence expenditure for residential real estate. All aspects of the millennial generation’s spending behavior consisting of spending on food consumption, education, health, telephone and internet, transportation, recreation and the variable of the presence of urban and rural millennial generations significantly affect the spending of the millennial generation for residential real estate with the assumption of ceteris paribus.

The implication of this study brings together the characteristics of the millennial generation with the aspect of behavior to expenditure for residential real estate assets relevant to the needs of the housing microfinance market.

In this study, it was found that the character and behavior of the millennial generation towards spending on residential real estate can be factors in determining policies by both the government and financial institutions that will serve the millennial generation through housing microfinance.

This implication study, it was found that the needs and behavior of the millennial generation towards the demand for housing microfinance principles according to their character and behavior.

The difference between the results of this study and previous studies is possible because previous studies did not differentiate the unit of analysis for the millennial generation.

The debate to find a solution for domestic price support under the WTO Agreement on Agriculture (AOA) has been a long one. The stance of India is critical to determine due to its large population. This paper aims to analyse the benefits or demerits of minimum price support and what approach could be adopted by India.

The paper is a mix of both analytical and theoretical research. The paper first provides a background on the issues related to public stockholding and further analyses some data at which India procures wheat and rice from the farmers and then compares it with retail market prices in India.

The paper finds that the difference in price between minimum price support and retail market prices in India for wheat and rice is minimal. Therefore, the concern that India might be taking advantage of the minimum price is uncalled for. India also needs to balance its own interests as well as abide by its WTO obligations. The paper finds that cooperation among countries or regional blocks might help to address the problem of food insecurity.

The paper portrays India’s stance with regard to WTO AOA as well as studies the Indian market for wheat and rice.

The development of financial technology (fintech), especially digital payments (e-payments), aims to increase the efficiency and effectiveness of economic transactions. This study aims to see the extent to which microentrepreneurs in Indonesia and Malaysia take advantage of the existence of e-payments in developing their business and the factors that influence the adoption of e-payments.

This study uses qualitative and quantitative approach. For quantitative approach, partial least squares structural equation modeling (PLS-SEM 4.0) was used to analyze the data. Using the nonprobability convenient sampling technique, this study collected 400 respondents from microenterprises in Indonesia and Malaysia in various regions.

Most of the microentrepreneurs in Indonesia and Malaysia have used fintech platforms, especially e-wallet and ATM debit. However, for quick response code-based fintech for business transactions, most microentrepreneurs have not taken advantage of the platform. Then the results of the digital payment adoption factor also differ for each country.

This study is valuable for decision-makers and regulators. These results can be used to find a roadmap for regulators to build a digital economy, especially digital payments for microenterprises in both countries. In addition, these results can be used as a basis for making policies regarding digital payments.

To the best of the authors’ knowledge, this is the first study to compare e-payment adoption by microentrepreneurs in Indonesia and Malaysia. Indonesia and Malaysia are two countries in the Southeast Asia region that have great attention in fintech development. This study provides new insights about fintech, especially digital payments as a strategic approach in the digitalization era.

Green sukuk (GS) is an emerging financial tool that has gained momentum in recent years owing to increased attention being given to Islamic finance, socially responsible investing (SRI) and sustainability agendas. Yet, GS studies are fragmented, dispersed and lack comprehensive reviews. As a response to this gap in academia, this paper aims to synthesize the knowledge on GS into thematic clusters, providing a more comprehensive understanding of the subject and offering guidelines for future research.

This study implemented a systematic literature review approach to analyse studies on GS that were published prior to and including June 2023. The PRISMA 2020 protocol was used in the sample selection process. A total of 62 peer-reviewed journal articles from six databases were identified and categorized into various themes.

The results suggest that previous research has predominantly focused on the areas of GS advantages, drivers, market development and potential sectors, along with challenges and recommendations to improve the market. However, it was found that some other aspects, including GS pricing, performance and purchasing intention, require further research attention. The analysis also indicated that the use of theories in the GS context was limited, with only five theories employed in just four out of the 62 articles examined. Moreover, this paper’s findings revealed that the studies employing quantitative and empirical analysis methods were limited to four articles. Geographically, most of the studies were conducted in Indonesia and Malaysia, while other countries with high-potential markets (e.g. GCC) had limited GS practices and studies.

The results of this study have several practical implications. For investors, a review of GS will provide greater insight into the understanding of the GS market, helping them make better investment decisions. For policymakers, this paper empowers them with the knowledge to make informed decisions regarding GS markets by highlighting key recommendations identified in the literature. Finally, the proposed guidelines can be used in future research.

While Green Bonds have received significant attention, there is a dearth of research on GS and those that exist are fragmented. A systematic literature review is necessary to identify knowledge gaps for future research.

Although Islamic banks offer superior financial services than other interest-based conventional banks, they could not expand their share and dominate the markets in several Islamic countries. This problem could be attributed to some causes not addressed. The current study proposes Islamic financial literacy as an important factor that could help aggress this problem. Due to a wide variety of Islamic financial services and the lack of understanding of these services, the banks' small business customers are indifferent between Islamic and interested-based conventional services to finance their business.

This study uses the exploratory technique of multiple correspondence analysis to detect any potential role of Islamic financial literacy in customers' preference for Islamic banks over conventional ones. The potential effect was tested with other essential factors, such as the customers' age, gender, and educational level. This analysis was conducted on a data set from 2061 banks' small businesses customers using the mall-intercept survey method.

The study shows a low level of Islamic financial literacy among Yemeni banks' small business owners' customers. Furthermore, despite integrating some critical factors that could influence the actual bank selection process among Yemini banks' customers, the authors found a decisive potential role of Islamic financial literacy as one of the key determinants of bank selection preferences.

This is the first paper to explore the potential role of Islamic financial literacy on the actual selection between Islamic Banks and their counterparts: the conventional banks in Yemen. The research results could build a more comprehensive theoretical model on Islamic banks' customer behavior.