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This study aims to examine the effect of FinTech adoption on the sustainability performance of banking institutions in an emerging economy such as Bangladesh. Besides, this study also investigates the mediating role of green finance and green innovation in the relationship between FinTech adoption and sustainability performance. To examine the relationship among the study variables, this study used data from 351 employees of banking institutions operating in Bangladesh during the period January to March 2021 using a convenience sampling method. Furthermore, the study utilized a two-staged structural equation modeling and an artificial neural network (SEM-ANN) approach to analyze the data. The findings show that FinTech adoption significantly influences green finance, green innovation, and sustainability performance. Similarly, the results indicate that green finance and green innovation have a significant positive influence on sustainability performance. Furthermore, the results reveal that green finance and green innovation fully mediate the relationship between FinTech adoption and the sustainability performance of banking institutions. Moreover, the present study contributes to the existing literature on technological innovation, green finance, and sustainability performance greatly as it is the first study to examine both linear and non-linear relationships among these variables using the SEM-ANN approach. As a result, the study highlights the importance of FinTech adoption, green finance, and innovation in the attainment of sustainability performance, as well as the urgent need to incorporate new technologies, green initiatives, and financing into banking strategies to help achieve the country’s sustainable economic development.

PurposeEntrepreneurship education (EE) through innovative teaching techniques (ITEE) and entrepreneurial intention (EI) are two essential components of entrepreneurship development. Using the assumptions of the Theory of Planned Behavior (TPB), we took three constructs: attitude (ATT), subjective norms (SUBNs), and perceived behavioral control (PBC), and from the assumption of Human Capital (HC) theory, we constructed another variable, ITEE. Thus, the fundamental objective of this study is to find out the essential predictor of EI between entrepreneurial antecedents (ATT, SUBNs, PBC) and ITEE through an artificial neural network (ANN).Design/methodology/approachUsing the snowball sampling technique, a highly structured questionnaire was sent to respondents. Finally, a sample size of 397 business graduate students was chosen.FindingsThe findings revealed that two dimensions of entrepreneurial antecedents (attitude and subjective norm) positively impacted EI. Furthermore, ITEE partially mediated the relationship between two dimensions of entrepreneurial antecedents (attitude and subjective norm) and EI. Moreover, through ANN, we found that attitude (ATT) was a crucial predictor of EI among business graduate students in Bangladesh.Research limitations/implicationsIn this study, only business graduate students were included as respondents; thus, further research should include students from other departments or disciplines to generalize the findings.Practical implicationsThis study covers numerous actors in terms of practical contributions, including students, academics, the government, and the state. This article should draw the attention of Bangladesh government policymakers regarding the significance of ITEE for developing entrepreneurship. The research framework of this study proposed that ITEE should implement antecedents of entrepreneurship into business education, boosting the ability of students to make judgments, which will also enhance EI in the future.Originality/valueIntegrating the TPB theory with human capital theory represents a significant scholarly advancement in business education for graduate students in Southeast Asia, namely Bangladesh. Furthermore, we developed a novel ITEE scale by synthesizing information from many literary sources, providing valuable insights for future researchers.

Coupling the practice-based view (PBV) of firms with dynamic capabilities theory (DCT), we assess the effect of Fintech adoption (FA) on organizational sustainability performance (SP) through circular economy practices (CEP). Additionally, this research examines the moderating roles of a firm’s access to finance (AF) and absorptive capacity (AC) in the interplays between the constructs. Three hundred responses were collected from Bangladeshi manufacturing SMEs using a structured questionnaire. We examined our conceptual model using a two-staged structural equation modeling-artificial neural network (SEM-ANN) approach. The empirical findings unveiled that Fintech adoption significantly drives organizational CEP and SP and that CEP acts as a mediator between the FA and SP linkage. Furthermore, the findings also confirmed the moderating effect of AF on the FA and CEP association and the impact of AC on the CEP and SP association. Hence, this scholarship adds pivotal insights to the extant literature by establishing the roles of multiple mediators and moderators in the interplay of FA and firms’ SP. Given the paucity of primary-data-based research, this empirical study addresses the gaps in the Fintech, CE, and sustainability literature and yields crucial implications for theory and practice.

This paper examines the linkages between information and communication technology (ICT) diffusion, renewable energy consumption (REC), and carbon (CO 2 ) emissions across three distinct regions: the South Asian Association for Regional Cooperation (SAARC), Middle East and North Africa (MENA), and Organization for Economic Cooperation and Development (OECD) nations. We explore the causal pathways linking these variables and perform a comparative assessment of region-specific patterns with their policy implications. Utilizing a panel dataset of 28 countries from 1998 to 2019, we employ panel ARDL, FMOLS, DOLS, and D-H causality tests. The comprehensive analysis of the sample reveals that ICT development enhances CO 2 emissions, whereas REC reduces emissions. However, the comparative analysis suggests a positive linkage between ICT diffusion and CO 2 emissions in MENA and OECD countries but a negative linkage in SAARC countries. Further, REC substantially reduces emissions in MENA and OECD countries but has an insignificant effect in SAARC countries. Our findings corroborate the first-order effect of ICT (negative environmental impact) in MENA and OECD countries, with contextual variations attributed to economic structure, financial sector growth, trade openness, and industrialization. These findings offer pivotal insights for policymakers to leverage ICT capabilities and REC to attain sustainable development and mitigate climate change consequences.

This study aims at investigating the prospects of a bond market in Bangladesh. Most of the developed and developing economies have an active and successful bond market. But Bangladesh despite being one of the fastest-growing economies, does not have an active bond market. Hence, this study was designed to investigate the impact of a bond market on the economic growth of Asian countries and what are the prospects and challenges in Bangladesh. To investigate the benefits of a bond market in Bangladesh, this study examined the relationship between bond market return and economic growth of 4 Asian economies which included, India, Indonesia, Hong Kong, and Japan. The average annual yield of 10-year bonds was used as the independent variable and the annual GDP growth rate of these countries was used as the dependent variable in the econometric model. Data for the last 20 years from 2000 to 2019 were used for all the variables. The Unit Root Test showed that 3 variables were stationary at first difference and the other five variables were stationary at level. The Johansen Co-integration test identified the long-run association among the variables indicating the long-run relationship between bond market return and economic growth. Granger Causality revealed a bi-directional relationship for India; unidirectional relationship for Indonesia (Bond→GDP growth) and Japan (GDP Growth→Bond); and no unidirectional or bidirectional relationship among the bond market return and economic growth of Hong Kong. The various new projects, the overextension of the banking sector, and perhaps the overall good condition of the economy has created the perfect situation to develop a bond market in Bangladesh. As there are conditions that provide advantages in bond market creation, there are also various challenges that the government must overcome. Some of the most important challenges to clear up are the underdeveloped tax system, the illiquid or absent secondary market, the alternative source