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The study's objectives are to conduct a comprehensive review of existing knowledge, thoroughly understand the present state of green finance, identify emerging research trends, perform content analysis and offer valuable guidance for advancing this field.

Data has been collected by selecting highly indexed databases, Scopus and Web of Science. These databases are well-known repositories of academic papers, journals and other scholarly publications related to various fields of study. This research uses the PRISMA methodology for conducting a structured literature review and employs a bibliometric approach to summarize the findings of the previous studies. “R” studio and Biblioshiny are used to clean the data and visualize the results. The TCCM framework is utilized to propose potential avenues for future research in the domain of green finance.

The research uncovers the potential areas in the domain of green finance for future work, encompassing green bonds, the green economy, connectivity, forces, constraints and sustainable development. Furthermore, this process enhances the theoretical underpinnings of scholarly investigations within the discipline by succinctly synthesizing and evaluating preexisting literature. This contribution could facilitate more informed and focused research endeavors in green finance.

The research findings have practical implications for researchers, practitioners, regulators, legislators, issuers and investors involved in green finance. The results can take initiatives to improve practices related to issuing and pricing green financial products and enhance the understanding of interconnectedness within the field.

This ground-breaking research sheds light on various emerging areas by taking a new approach, including the most widely read articles, authors and journals and the broader conceptual and intellectual framework. That includes finding and expanding original research streams, summarizing the most seminal works, and suggesting new research pathways.

Recently, financial inclusion promoters have observed that financial literacy is a vital tool for financial inclusion growth, especially among the poor who are considered financially illiterate. The purpose of this paper is to look at the role of Islamic financial literacy (IFL) and inclusion in improving the performance of micro, small and medium enterprises (MSMEs) in Indonesia.

This study uses questionnaire data collected as many as 197 MSMEs. This study was analyzed using structural equation modeling approach to test the hypothesis.

The results show that IFL is an important variable to increase Islamic financial inclusion. The results also show that both have a significant influence in developing the MSME sector business.

This research is not without limitations. This study only adopted a sample in one Province in Indonesia with focus on creative economy sector and some others sectors located in the province of Riau, therefore ignoring suburban and urban areas in Indonesia. Therefore, future studies using a cross-sectional research design are feasible. In addition, this study only uses quantitative data, so that qualitative research with key informant interviews can be considered for further research.

The findings of this study enlighten policymakers, managers of financial institutions and advocates of financial literacy and inclusion about the importance of improving the performance of MSMEs. As a policy recommendation, this study suggests that Islamic policy makers and financial institutions should play a proactive role in increasing service outreach and providing the regulatory environment needed for MSMEs given the important role MSMEs play in the Indonesian economy.

This study combines functional components (behaviors and attitudes) and nonfunctional measures (knowledge and skills) of financial literacy and financial inclusion in explaining the performance of MSMEs. Thus, this research is an initial effort to explain financial literacy and inclusion on the performance of MSMEs.

This study aims to clarify the psychological mechanism of international contractors' fraud by linking performance pressure to fraudulent intention through the displacement of responsibility and addressing the moderating role of moral intensity.

Based on moral disengagement theory, performance pressure was hypothesized to be positively associated with fraudulent intention by mediating the displacement of responsibility. Drawing on the issue-contingent theory, moral intensity was hypothesized to inhibit the relationship between performance pressure and displacement of responsibility in three aspects: magnitude of consequences (MC), probability of effect (PE) and social consensus (SC). The scenario-based questionnaire was conducted to collect information from contractors spread across 50 countries. The partial least squares structural equation modeling was employed to assess the proposed model.

The results demonstrated that performance pressure was positively associated with the fraudulent intention, and displacement of responsibility exerted a positive partial mediating impact between performance pressure and fraudulent intention. Regarding moral intensity in the moderating analysis, the negative moderating role of MC and PE was significant, while that of SC was insignificant.

This study provides international construction practitioners with a deep understanding of the formation mechanism of fraud at the psychological level.

It clarifies the psychological mechanism from performance pressure to fraudulent intention by integrating a mediation impact from the displacement of responsibility and a moderation effect from MC and PE. It contributes to the sparse research on how situational factors shape individuals' fraudulent intentions in the international context. It provides a fresh perspective on fraud by constructing a formation model from moral psychological theories.

Recent United Nations Climate Change Conferences recognise extreme climate change of heatwaves, floods and droughts as threatening risks to the resilience and success of public–private partnership (PPP) infrastructure projects. Such conferences together with available project reports and empirical studies recommend project managers and practitioners to adopt smart technologies and develop robust measures to tackle climate risk exposure. Comparatively, artificial intelligence (AI) risk management tools are better to mitigate climate risk, but it has been inadequately explored in the PPP sector. Thus, this study aims to explore the tools and roles of AI in climate risk management of PPP infrastructure projects.

Systematically, this study compiles and analyses 36 peer-reviewed journal articles sourced from Scopus, Web of Science, Google Scholar and PubMed.

The results demonstrate deep learning, building information modelling, robotic automations, remote sensors and fuzzy logic as major key AI-based risk models (tools) for PPP infrastructures. The roles of AI in climate risk management of PPPs include risk detection, analysis, controls and prediction.

For researchers, the findings provide relevant guide for further investigations into AI and climate risks within the PPP research domain.

This article highlights the AI tools in mitigating climate crisis in PPP infrastructure management.

This article provides strong arguments for the utilisation of AI in understanding and managing numerous challenges related to climate change in PPP infrastructure projects.

The practice of the defects liability period (DLP) is a risk management strategy meant to secure durable and high-quality works. However, construction products continue to malfunction even after the expiration of DLPs. This study seeks to determine the adequacy of DLPs existing in the construction industry and propose appropriate DLPs for construction projects in the Ghanaian construction industry.

Applying quantitative research strategy, 124 questionnaires were retrieved from construction professionals surveyed. The data obtained were analysed using descriptive statistics, Cramer’s V and the significance test with the aid of Stata software.

It was found that defects start showing in both buildings and roads within 12 months after being handed over for the client’s use. The significance test and Cramer’s V analysis indicate low concordance amongst respondents that the 6–12 month DLPs existing in Ghana are adequate. It is found that the existing DLP practice does not provide sufficient security to clients.

Construction project clients will need to include the tenderer’s proposed DLP as part of the tender evaluation criteria with the objective of picking up a signal of the quality of work to be delivered.

This paper is one of the pioneering studies addressing the issue of the adequacy of DLPs in the construction industry in the Sub-Saharan Africa region. The findings trigger policy and regulatory changes in conditions guiding construction contracts procured in most developing countries that have adopted and adapted to the World Bank Public Procurement Guidelines.