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The low level of financial literacy among young adults is a pressing concern at both individual and country levels. Therefore, there is a dire need to understand the best-worst antecedents of financial literacy and how they influence each other.

A two-phased multicriteria decision-making (MCDM) technique consisting of best-worst method and interpretive structural modeling (BWM-ISM) was employed for pair-wise comparison, assigning weights, ranking and establishing the relationship among antecedents of financial literacy.

Results suggest that use of Internet (SF1), role of financial advisors (SF3) and education level of individuals (DS7) are top ranked antecedents, whereas masculinity/feminity, language and power distance in society are the least ranked antecedents of financial literacy. Findings will help both academicians and practitioners focus on the key factors and make efforts to increase financial literacy by minimizing resource usage.

The current study provides clarity among antecedents of financial literacy by following BWM-ISM approach for the first time in the financial literacy context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0746

Circularity has acted as an essential phenomenon for small and medium enterprises (SMEs) in emerging economies, pressuring entrepreneurs to its adoption in their businesses. During the adoption and implementation of circularity, entrepreneurs or circular entrepreneurs (to be precise) are facing various challenges to its effective functioning. However, the scholarly literature has offered limited research into this phenomenon. Thus, the purpose of this research is to identify the various barriers and sub-barriers for circular entrepreneurs to adopt circularity in SMEs of emerging economies.

A combined qualitative and quantitative approach was employed to achieve the objectives of the study. In the first stage, through an extensive literature review, a list of barriers was identified and in the second stage, a deductive approach was employed to finalize the barriers. Finally, Best-Worst Method (BWM), a multi-criteria decision-making (MCDM) method, was used to analyse the significant importance of the barriers.

The findings of the study suggested the “financial barrier” as the first-ranked barrier in the adoption of Circular Business Models (CBMs), followed by the “regulatory and operational barrier” as the top second and third barriers. In terms of sub-barriers, “lack of access to funding and capital” has been identified as the top sub-barrier in the adoption of CBM, followed by “excessive regulations and red tape” and “challenges due to ambiguity of the concept”.

To transition from a circular to a linear business approach considerably quicker and smoother, entrepreneurs may utilize the findings of this study as a blueprint for the steps to overcome the barriers in a linear to a circular transition.

This research differentiates from other studies due to solicited input directly from the people who are most familiar with the challenges of making the transition from linear to CBM, i.e. the entrepreneurs themselves.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

A shortage of investment capital is one of the main issues facing most developing economies, including Tanzania. Policymakers, economists, and governments in these countries have been debating how to overcome this obstacle and improve economic growth through foreign direct investments (FDI). The present study endeavors to examine the relationship between FDI and economic growth in Tanzania during the period of 1991–2021. The analysis considers financial development, capital formation, and labor force involvement as intermediation variables.

The study uses time series data to estimate an autoregressive distributed lag (ARDL) model, as well as Granger causality tests to investigate the relationship between the variables under study.

The findings show a long-run co-integration between the studied variables. However, only FDI and labor input have a significant impact on gross domestic product (GDP) growth in both the short and long run. Bidirectional causality exists between FDI, labor input, and GDP growth in the short and long run.

This study contributes to an understanding of the relationship between inbound FDI, labor input, and economic growth in Tanzania, as well as updating the government to improve its financial system to gain more from FDI inflows and hence boost growth-enhancing effects.

This study provides insight into the relationship between inbound FDI and economic growth in Tanzania, which is a critical policy concern in developing economies. Extant studies’ results remain controversial, and this is the first study in Tanzania to investigate the FDI-growth nexus, by considering financial development, capital formation, and labor input simultaneously.

The present research study aims to explore the impact of renewable energy (RE) on investors willing to invest. This current study also investigates the mediation role of perceived benefit (PB) and living creature’s development (LCD) among RE and investors willing to invest.

Pakistani per capita income level is low; usually, the population lives hand to mouth. Only 10% to 15% of the population has been saving and is willing to invest in different sectors. To meet the aim of this study, data were collected from 300 individuals with a 40% response rate investors, equity fund managers and Pakistani stock exchanges using a nonprobability convenient sampling approach. The partial least square structural equation modeling technique and Smart partial least squares 3.0 were used to determine the primary and medicating effects of the variables.

The analysis shows that RE and investor willing to invest strongly linked each other directly and indirectly. PB and LCD significantly partial mediate the connection among RE and investor willing to invest. Hence, the results suggest that RE has more sustainable development goals with using and accessing affordable green and reliable energy.

The present study narrows the research gap by examining the effect of RE on investor willing to invest via PB and LCD. Also, it provides essential information for effective energy policies contributed to the sustainable development goals and gives valuable suggestions for policymaker and government.

This paper examines the impact of foreign direct investment (FDI) on the economic growth of Afghanistan over the period 1990 to 2019.

This study uses an autoregressive distributed lag (ARDL) to measure FDI’s impact on economic growth and determine the short- vs long-run relationship.

The results show that the F-bound cointegration test confirms the long-run relationship among the variables. The long-run and short-run results reveal that foreign direct investment has a significant negative impact on economic growth in the long run. However, domestic investment and labour force have a significant and positive impact on economic growth in the long run. Moreover, the impact of trade openness on economic growth is insignificant in the long run, while it has a significant negative impact in the short run.

In this study, we contribute to this research area by analysing the function of FDI in economic growth from Afghanistan’s experience and perspectives. This is the first study empirically examining this relationship in Afghanistan while considering other selected macroeconomic indicators. This paper could greatly benefit policymakers in Afghanistan by guiding the formulation of FDI policies that would spur its economic growth and development.