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This study aims to examine decision factors for global sourcing, differentiated into transcontinental and continental sourcing to obtain insight into locational aspects of sourcing decisions and global trends. This study analyzed various country perceptions to reveal their influence on sourcing decisions. The country of origin (COO) theory explains why certain country perceptions and images influence purchasing experts in their selection of suppliers.

This study used a two-study approach. In Study 1, the authors conducted discrete choice card experiments with 71 purchasing experts located in Europe and the USA to examine the importance of essential decision factors for global sourcing. Given the clear evidence that location is a factor in sourcing decisions, in Study 2 the authors investigated purchasers’ perceptions and images of countries, adding country ranking experiments on various perceived characteristics such as quality, price and technology.

Study 1 provides evidence that the purchasers’ personal relationship with the supplier plays a decisive role in the supplier selection process. While product quality and location impact sourcing decisions, the attraction of the buying company and cultural barriers are less significant. Interestingly, however, these factors seem as important as price to respondents. This implies that a strong relationship with suppliers and good quality products are essential aspects of a reliable and robust supply chain in the post-COVID-19 era. Examining the locational aspect in detail, Study 2 linked the choice card experiments with country ranking experiments. In this study, the authors found that purchasing experts consider that transcontinental countries such as Japan and China offer significant advantages in terms of price and technology. China has enhanced its quality, which is recognizable in the country ranking experiments. Therefore, decisions on global sourcing are not just based on such high-impact factors as price and availability; country perceptions are also influential. Additionally, the significance of the locational aspect could be linked to certain country images of transcontinental suppliers, as the COO theory describes.

The new approach divides global sourcing into transcontinental and European sourcing to evaluate special decision factors and link these factors to the locational aspect of sourcing decisions. To deepen the clear evidence for the locational aspect and investigate the possible influence of country perceptions, the authors applied the COO theory. This approach enabled authors to show the strong influence of country perception on purchasing departments, which is represented by the locational effect. Hence, the success of transcontinental countries relies not only on factors such as their availability but also on the purchasers’ positive perceptions of these countries in terms of technology and price.

This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.

The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.

The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.

The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.

The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.

The purpose of this study is to measure the awareness of the global university ranking and its parameters among the faculty members at Dhaka University. This also identifies the challenges linked to university ranking and explores opportunities to overcome these challenges.

The target population of this study is the faculty members of Dhaka University. This study used the online survey questionnaire method, contacting approximately 2,000 faculty members individually through their email addresses. In total, 311 faculty members responded, and the response rate was 15.55%. Data were collected from September to December 2022, and the Statistical Package for the Social Sciences was used to analyze the survey data.

The findings indicate that a majority of the faculty members are acquainted with global university rankings, with Times Higher Education being the most recognized. Faculty members at Dhaka University are confident in their ability to excel in research and citation weighting scores in the ranking parameters. However, challenges such as a lack of incentives, inadequate recruitment policies, limited research funding, minimal collaboration, a scarcity of international students and faculty and limited local journal publications hinder the university’s ranking.

Due to the limited number of responses, the findings may not accurately represent the entire faculty. The findings of this study can guide Dhaka University and other universities to design policies for overall improvement of university ranking.

This is the first time an attempt has been made to measure the awareness of university ranking by collecting primary data in the context of a public university in Bangladesh.

Institute for Economics and Peace (IEP) every year produces peace setting scores of many countries over the globe. The peace index score (PIS) and its ranking are fabricated by involvement of numerous recognised variables. The internal and external violence factors and their intensity regulate the strength of such scores. The present study deliberates such peace scores and rank of the countries in terms of regional variation and income class specifications. The study uses alteration of rank over three consecutive years and the growth of the PIS to elucidate the disparities over the region and income classification. The study recognised that income classification of countries smoothly elucidates the rank differences in terms of peace scores, but regional variation wise enlightenment remains misnomer. Further, this study contemplates four violence indicators and their growth over three years to describe the non-conformities of peace score between the countries. Studies acknowledged that inter-correlation between the peace growth scores and also between the growth of violence indicators is the significant factor to comprehend the peace score behaviour. Over the years, studies confirm that high-income countries are able to improve their PIS though there has large levels of inconsistency among countries. Among the regional specification, studies perceive that countries around the globe improved their peace score during 2018–2019, rather than 2019–2020.

Introduction: This chapter examines the impact of Financial Technology (Fintech) on Environmental, Social, and Governance (ESG) goals to promote a sustainable financial system. Digital payment platforms, blockchain applications, and AI-powered analytics have revolutionised the financial landscape in recent years. These advancements have made integrating ESG principles into investment decisions and business practices easier.

Purpose: The main aim of this chapter is to analyse the connections and possibilities that Fintech offers to achieve ESG goals. Understanding how Fintech can facilitate sustainable finance practices is crucial for promoting investment in Fintech.

Methodology: A series of indexes have been examined, including the Global FinTech Index (GFI) in Global and Regional Rank, the Global Sustainable Competitiveness Index, and performing the Green Growth Index, the Green Economic Opportunity Index, the Global Green Finance Index (GGFI), and the Financial Inclusion Index.

Findings: Through comparative analysis, it can be concluded that the countries with the highest rankings are Sweden, Finland, Denmark, Switzerland, and Germany. Sweden ranks highly in the GFI. These results show that these countries rank highly in achieving ESG objectives. Balkan countries, specifically Albania, Bosnia and Herzegovina, and Montenegro, have the weakest results compared to other countries. Policymakers can benefit from the study’s findings to design better regulations and frameworks that promote responsible fintech practices and foster sustainable finance.

Practical Implications: Regulators and agencies responsible for measuring fintech and ESG should strive to align the indexes associated with these two domains as closely as possible. In addition, businesses can utilise the findings of this study to increase awareness about the diverse solutions that fintech offers to achieve the objectives of ESG.

Insurance is defined as the equitable transfer of the risk of a loss, from one entity to another, in exchange for a premium and can be thought of as a guaranteed small loss to prevent a large, possibly a devastating, loss. Insurance is often challenging to quantify and count its values. A study on international insurance comparison will be more justified and result driven only when it is based on the comparable economic-adjusted insurance growth level. This motivates the study to introduce a model, Benchmark Ratio of Insurance Penetration (BRIP), for insurance growth comparison across the selected countries. This model makes an attempt to compare the relative stance between a country's Insurance Penetration (IP) and the selected countries’ average IP at an economic level which is at par with the country's gross domestic product (GDP) per capita. The study is done by selecting the G7 countries and the Brazil, Russia, India, China, South Africa (BRICS) nations to have a proper representation of the world. These two groups of countries can give a picture of developed, emerging as well as underdeveloped countries. The paper uses the data of 12 countries for the past years (2007–2020) as the sample to study the objective of insurance comparison. The implications of such an analysis will be able to serve the purpose of insurance companies for their strategic expansion planning on an international basis. The insurance companies can depend on this more economically adjusted data when the policymakers want to lay foot in newer countries or expand in the existing ones.

This article focuses on children’s social quality. Social quality can be understood as the extent to which people can engage in the social, economic, and cultural lives of their communities, under conditions that strengthen their well-being and potential. This article has two purposes. The first is to develop a league table ranking 23 countries’ children’s social quality based on comparative data. The second is to examine the correlation between these countries' commitment to promoting children’s social quality and reducing the child care gap, where childcare is insufficiently covered by child care leave or Early Childhood Education and Care.

We analyse the findings obtained from the children’s social quality league table and the child care gap league table for the 23 countries.

The findings reveal mixed relationships between the children’s social quality league table and the child care gap league table. These findings indicate that we cannot assume that countries prioritizing the reduction of the child care gap automatically possess the capacity or willingness to promote other aspects of children’s welfare. They also highlight the significance of encouraging countries to enhance their children’s social quality as a way to promote children’s welfare rather than solely reducing the child care gap.

Children’s social quality is a new research area. To explore it, this article makes an innovative attempt by exploring the connection between social quality, children’s welfare, and the child care gap. The league table of children’s social quality this article developed is the first of its kind.

This study investigates the correlation between economic development and scientific knowledge production indicators in the BRICS countries from 2000 to 2020, highlighting the importance of human resources, natural resources, and innovation. Addressing a gap in the existing literature, this study aims to contribute significantly to understanding this relationship.

Employing a descriptive statistical approach, this study utilizes GDP and per capita income as economic indicators and scientific data from WoS and SCOPUS databases, focusing on scientific document production and citations per document.

The analysis reveals a strong correlation between economic development and scientific performance within the BRICS nations during the specified period. It emphasizes the interdependence of economic progress and scientific prowess, underscoring that they cannot be considered independently.

However, limitations exist, notably the reliance on specific databases that might not cover the entire scientific output and the inability to capture all factors influencing economic and scientific development.

Understanding this interdependence has crucial originality. Policymakers and stakeholders in BRICS countries can leverage these insights to prioritize investments in human capital development and scientific research. This approach can foster sustainable economic growth by reducing reliance on natural resources.

This study aims to determine and evaluate the artificial intelligence (AI) development and competitiveness of the top 20 countries that receive the highest number of tourists with the entropy technique for order of preference by similarity to the ideal solution (TOPSIS)-integrated method.

This study is based on Global AI Index data published by Tortoise Media. Based on this index, according to the World Tourism Organization (UNWTO) report, the top 20 destinations that will host the highest number of tourists in 2022 were evaluated in seven different subpillars, which are talent, infrastructure, operating environment, research, development, government strategy and commercial. These seven subpillars of the index were considered as criteria, and the top 20 tourist destinations were included in the research as decision alternatives.

The analysis results show that the three most important AI criteria are operating environment, infrastructure and government strategy. Furthermore, the first three countries with the best AI performance according to the weighted criteria were the USA, China and the UK, respectively.

Considering that AI technologies will direct tourist behavior in a world where technology is rapidly developing, it is recommended that the countries that receive the highest number of tourists improve their AI performance.

When the relevant literature is examined, there is a limited number of studies examining the AI development and competitiveness of the top tourist destinations and weighting the Global AI Index values. Therefore, this study contributes to the gap in the relevant literature.

The ease of doing business (EODB) is a key factor in the development of investment, production and employment in a country. The purpose of this research is to identify the components of EODB in Gilan province in Northern Iran and rank these components from the perspective of economic operators.

This research uses a mixed methods design. In the qualitative phase, the components of EODB in Gilan province are identified through meta-synthesis with the participation of 10 experts. In the quantitative phase, structural equation modeling is used to rank these components from the perspective of 75 randomly selected economic operators from different economic sectors of Gilan province.

According to the participants, the main factors influencing EODB in Gilan province are: (1) public services and infrastructure; (2) political stability and the government; (3) policies, laws and regulations and (4) security of property rights.

Identifying factors conducive to the business environment can play an effective role in removing the barriers to achieving the goals of development programs, such as economic growth and reducing unemployment, poverty and inflation. Gilan province, in particular, is in a favorable condition in terms of climate and geography, with an abundance of young, specialized human resources, which can help remove barriers to improving the business environment and facilitate the use of these capacities. It must be noted that the labor force participation rate in Gilan province is 41.3%, indicating that 58.7% of the working age population is not working or actively looking for work, and removing EODB barriers can provide these people with incentives for economic participation.

The results suggest that creating a stable, transparent, anti-rent, predictable and reliable business environment will allow for increasing investment, production and employment across the province, and that controlling the inflation caused by increased production will make it possible to achieve maximum productivity and economic development.