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This study has conducted exploratory research to understand who should comprise the members of a resilient supply chain for promoting an entrepreneurial ecosystem of a startup project and to determine the mechanisms for the balanced coexistence of all stakeholders. This is necessary to ensure mutual benefits for all stakeholders, each of whom has multidimensional interests. Additionally, this supply chain must be able to withstand any potential disruption risks.

This research has employed a mixed-design approach. In this context, the study conducted an extensive qualitative and quantitative investigation, including 30 interviews and a survey involving 180 potential stakeholders in this supply network, respectively in the capital city of Bangladesh, Dhaka. The analysis of the interviews utilized principles of matrix thinking, while structural equation modeling (SEM) through LISREL was employed to understand cause-and-effect relationships.

Network, platform and governance—these three independent constructs have the potential to contribute to the dependent construct, a resilient supply chain, aimed at promoting an entrepreneurial ecosystem for startup projects. It has been revealed that the management of such projects depends on the rules and regulations within the ecosystem. An excellent governance mechanism is essential for this purpose. To facilitate coexistence, the establishment of a platform is crucial, where cooperation among all members is mandatory.

For practitioners, three distinctive but closely interdependent issues are explored and resolved in this philanthropic study. It has unfolded the elements of any startup project with essential settings.

The identification of the structural dynamics of potential stakeholders within the entrepreneurial ecosystem of startups is largely absent in existing literature. Therefore, there is a need to comprehensively investigate the entire network, including their roles, responsibilities and associations. This study makes a significant and novel contribution to the existing literature. Academics and practitioners alike have ample opportunities to learn from this new aspect of relationships across three distinct areas: the entrepreneurial ecosystem, startup projects and the development of a resilient supply chain.

This article discusses the public library system in Morocco, compiling the available information tackling the historical background of public libraries and their early work and the system that has been adopted during and after colonial periods. The main purpose of the study is to shed light on the present situation of the public library system in Morocco and also to further identify some of the recurrent issues in the public library system in Morocco.

The authors relied on a literature review as a theoretical reference in order to study and extract the available studies done previously on the Moroccan system for public libraries.

Public libraries in Morocco face various issues such as lack of available data and research, lack of appropriate funds, education in the field of library and information sciences, low rate of reading culture within the country and the high rate of illiteracy, all of which obstruct the development of Moroccan librarianship. There is a necessary reform need and action in order to help in the development of libraries in the country.

This paper is the first paper that discussed the state of public libraries in Morocco and that draws and highlights the importance of public libraries in relation with the country's development.

The purpose of this paper is to study the correlational and effect relationship between Halal standards and the performance of Halal-certified Palestinian Food Companies.

Quantitative method was used, using a questionnaire survey of 40 Halal-certified Palestinian organizations out of a total of 47 certified organizations, the analysis was done using the partial least squares structural equation modeling (PLS-SEM) and the literature review was conducted using a well-known systematic literature review methodology.

Halal implementation and certification had a positive impact on performance (operational, financial and marketing). The depth/intensity of implementation fully mediates operational performance and partially mediates marketing and financial performance.

As the sample size is small, it is recommended to conduct the study using a larger sample size, once the number of Palestinian Halal-certified organizations increases. A longitudinal or panel study is recommended to capture data that are more accurate and avoid objectivity and bias issues using a cross-sectional research design method. Finally, the study recommends to conduct additional research in the field of Halal awareness for customers to gage their intention and welling to buy Halal products within the Middle East region.

The importance of this study exists in the lack of previous Halal-related studies in the Palestinian context and the previously described gap in the literature. Nevertheless, the quality management drivers and impact are limited in the Palestinian context compared with other contexts; the results of the previously published studies revealed mixed results such as the drivers of quality management are based on the type of business. Finally, this research gives small insights and directions toward conducting additional studies concerning customer awareness about Halal products.

Individual investors are experiencing serious sentiment shifts that influence their financial activities due to the COVID-19 pandemic while socially responsible investment (SRI) has garnered attention worldwide. This study aims to explore how individual investors’ sentiments and investment choices altered in reaction to the COVID-19 pandemic.

We surveyed 1,219 individual investors in Japan, the USA and Germany using an online questionnaire and performed a cross-sectional analysis using logit and ordered logit regressions.

This study found that individual investor sentiment affects SRI after COVID-19, but not necessarily in the same manner. Return-focused aspects negatively affect their SRI, while relationship-oriented social issues positively affect it. In addition, the relationship differs by nation. Japanese investors anticipate shorter term SRI returns than the US and German investors. Only Japanese investors’ SRI decisions were impacted by the relationship-oriented social factors including the environment, diversity and employee rights and welfare.

This study emphasizes the need for precise motivation characterization when evaluating the same issue. The author also identified the variance and characteristics among countries, which differ from previous research.

An academically credible image of the relationship will enable business managers to find appealing strategies. This study also suggests country-specific investor relations strategies.

This study differentiates return- and relationship-oriented social motivations for SRI into 14 components, thus clarifying the relationship mechanism between the COVID-19 pandemic and individual investors’ SRI behavior. Moreover, no study has compared individual investor sentiment and investment behavior affected by the pandemic in the three countries.

As the world began to witness an unprecedented rate of environmental destruction, economists and international institutions have been toiling away for decades, making every effort to dissect the dynamics of the relationship between the environment and the economy. Many claims have preached that there is a trade-off between environmental wellbeing and economic prosperity, where economic growth would be hindered by environmental protection. As we continue to neglect nature, will the world be capable of maintaining infinitely growing economies without falling into a deficit of natural resources? The foundation of all forms of economic growth springs from nature. Therefore, this study aims to explore the true impact of environmental protection policies on economic performance, and claims that well-designated environmental policies would only strengthen economies.

This study aims to investigate the impact of environmental protection policies on gross domestic product (GDP) growth utilizing a selected sample of 18 OECD countries. Fixed effects panel regression was conducted for the sample from 1998 to 2015.

Findings suggest that an increase in the environmental protection stringency is associated with an increase in GDP in the long-run. Whereas in the short run, more stringent environmental policies have been shown to have a questionable impact on GDP, brought to light by the mixed results portrayed in the short-run data.

While it is true that this study has utilized data from the The Organisation for Economic Co-operation and Development (OECD), the findings could be applicable to countries of the MENA region. This is due to the fact that GDP levels of OECD countries and Middle East and North African (MENA) countries have been converging over the past few decades. The convergence suggests that both regions seem to be following similar trends since the year 1990, with an increasing similarity in trend over the years.

This paper empirically proves that the protection of nature is necessary for the sustenance of long-term economic growth. This study also provides an approximate time range of when the economic gains of environmental protection would be realized, specifically in the beginning of a green growth transition. This makes the study findings accurately relevant to Arab countries, where providing a time range is necessary to alleviate some the uncertainty of policymakers in the MENA region towards environmental policies.

This paper aims to provide a systematic literature review of the state-of-the-art applications of climate information in humanitarian relief efforts, to further the knowledge of how climate science can be better integrated into the decision-making process of humanitarian supply chains.

A systematic literature review was conducted using a combination of key search terms developed from both climate science and humanitarian logistics literature. Articles from four major databases were retrieved, reduced and analyzed.

The study illustrates the status of application of climate information in humanitarian work, and identifies usability, collaboration and coordination as three key themes.

By delivering an overview of the current applications and challenges of climate information, this literature review proposes a three-phase conceptual framework.

The purpose of this study shows the effect of the value of country of origin and brand image on the purchasing decision of South Korean skincare with halal product knowledge as a moderator variable.

The research method used is descriptive quantitative by analyzing the responses to questionnaires distributed to 212 respondents from all over Indonesia. Based on previous research, four hypotheses were built, and the collected data were processed using a path analysis tool through the SmartPLS 3.3.3 application.

The results showed that the country of origin and brand image variables had a significant effect on the purchasing decision of South Korean skincare with halal product knowledge as a moderator variable. Meanwhile, the halal product knowledge variable does not moderate the influence of country of origin and brand image on South Korean skincare purchasing decisions. This finding confirms that the halal product knowledge factor has not been sufficient to strengthen the influence of country of origin and brand image on South Korean skincare purchasing decisions.

To increase knowledge about Muslim halal in South Korea’s skincare purchasing decisions, the role of halal assurance institutions and South Korean and Indonesian skincare manufacturers is needed in optimizing halal certification and international agreements related to halal guarantees. In addition, halal cosmetics business actors in Indonesia and Korea must increase halal awareness of the products they sell through brand image and halal product knowledge so that they can convince and encourage Muslim consumers in making decisions to buy South Korean skincare in Indonesia.

To the best of the authors’ knowledge, this study is the first to test country of origin and brand image on the decision to purchase South Korean skincare with halal product knowledge as a moderator variable. This study succeeded in revealing the strengths and weaknesses of the value of country of origin and brand image in influencing the purchasing decisions of South Korean skincare in Indonesia.

This paper aims to establish an efficient maintenance management system tailored for healthcare facilities, recognizing the crucial role of medical equipment in providing timely and precise patient care.

The system is designed to function both as an information portal and a decision-support system. A knowledge-based approach is adopted centered on Semantic Web Technologies (SWTs), leveraging a customized ontology model for healthcare facilities’ knowledge capitalization. Semantic Web Rule Language (SWRL) is integrated to address decision-support aspects, including equipment criticality assessment, maintenance strategies selection and contracting policies assignment. Additionally, Semantic Query-enhanced Web Rule Language (SQWRL) is incorporated to streamline the retrieval of decision-support outcomes and other useful information from the system’s knowledge base. A real-life case study conducted at the University Hospital Center of Oran (Algeria) illustrates the applicability and effectiveness of the proposed approach.

Case study results reveal that 40% of processed equipment is highly critical, 40% is of medium criticality, and 20% is of negligible criticality. The system demonstrates significant efficacy in determining optimal maintenance strategies and contracting policies for the equipment, leveraging combined knowledge and data-driven inference. Overall, SWTs showcases substantial potential in addressing maintenance management challenges within healthcare facilities.

An innovative model for healthcare equipment maintenance management is introduced, incorporating ontology, SWRL and SQWRL, and providing efficient data integration, coordinated workflows and data-driven context-aware decisions, while maintaining optimal flexibility and cross-departmental interoperability, which gives it substantial potential for further development.

This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.

This study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.

The results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.

The models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.

The study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.

The earth is facing challenges to work for the survival of human life during domino effect disasters. The emergency resource storage locations should be selected considering the probability of domino effect disasters. The first purpose of this study is to select the storage locations where domino effect probability is less. And second, facility development cost and transportation costs and costs for unutilized capacity have been optimized.

The work is a multiobjective optimization problem and solved with weighted sum approach. At first, the probabilities of domino effect due to natural disasters are calculated based on the earthquake zones. Then with that result along with other necessary data, the location to set up storage facilities and the quantities of resources that need to be transported has been determined.

The work targeted a country, Bangladesh for example. The authors have noticed that Bangladesh is currently storing relief items at warehouse which is under the domino effect prone region. The authors are proposing to avoid this location and identified the optimized cost for setting up the facilities. In this work, the authors pointed out which location has high probability of domino effect and after avoiding this location whether cost can be optimized, and the result demonstrated that this decision can be economical.

Disaster response authorities should try to take necessary proactive steps during cascading disasters. The novelty of this work is determining the locations to select storage facilities if the authors consider the probability of the domino effect. Then a facility location optimization model has been developed to minimize the costs. This paper can support policymakers to assess the strategies for selecting the location of emergency resource facilities.