This study examines all research related to climate finance and sustainability published in the Journal of Cleaner Production between 2010 and 2024. It employs a bibliometric analysis in conjunction with a systematic literature review of 41 peer-reviewed articles to identify changes in research patterns, institutional development, and emerging thematic trends. Since 2015, research has shifted from primarily conceptual discussions to more empirical investigations, largely influenced by two major global developments: the Paris Agreement and the evolving Environmental, Social, and Governance (ESG) standards. The analysis focuses on three primary areas: the integration of green bonds, renewable energy finance, and blockchain technologies. While the journal exhibits strong publication activity from East Asian and European academic institutions, it remains underrepresented in contributions from the Global South, particularly in African contexts and the field of agricultural finance. The findings suggest that the journal serves as a critical conduit linking academic research with practical financial instruments that support sustainability. Future research should adopt multi-disciplinary approaches, aligning financial innovations with sector-specific applications, and prioritize vulnerable economies to advance global climate objectives. The study underscores the interconnected role of finance, policy, and technology as essential levers in achieving sustainable development goals.

The debate over remote work continues to intensify as major global companies call for a return to in-person operations, driven by concerns over disrupted communication and productivity. However, technological advancements, access to a global talent pool, and growing employee demand for flexibility suggest that remote work is a long-term trend. This study investigates collaboration in remote-first, globally distributed teams, with a focus on the HR professional services industry. Based on a survey of employees across 45 countries, the study offers practical recommendations for managing global virtual teams across time zones, such as adopting culturally agile leadership, utilizing advanced digital platforms, and implementing clear communication protocols. The findings highlight the critical role of strong leadership, effective communication, inclusivity, and trust in fostering successful collaboration. While technology plays a key role, leadership’s ability to cultivate trust and encourage knowledge sharing emerged as the most significant factor. The study also found that cultural diversity did not significantly hinder collaboration, but it reinforced the importance of inclusive leadership and structured digital workflows to address potential challenges. These insights contribute to the growing body of knowledge on remote work models and emphasize the need for further research into long-term global virtual collaboration, particularly in non-tech industries. The findings provide valuable guidance for managers and HR professionals navigating the complexities of managing remote work in a globalized context.

This study investigates the impact of artificial intelligence (AI) applications on reducing default risk in micro, small, and medium enterprises (MSMEs), with the aim of ensuring financial sustainability. By focusing on 450 MSMEs located in the North Al Batinah Governorate of the Sultanate of Oman, the research uses a regression model and various statistical tests to examine the relationship between AI adoption and default risk. The findings indicate that the use of AI is the most influential factor in mitigating default risk, highlighting the importance of encouraging AI adoption among MSMEs. Additionally, the perspectives of MSME owners play a significant role, suggesting that raising awareness of AI's benefits in credit risk management is essential. The study is limited to a specific region in Oman but offers valuable insights into the challenges and benefits of AI implementation in MSMEs. It recommends initiatives to shift the mindset of MSME owners toward embracing AI, as well as policies to support investment in AI tools to strengthen credit risk assessment and prevent financial distress. This research contributes to the growing body of knowledge by demonstrating how AI can reduce default rates and improve repayment performance, ultimately supporting the financial sustainability of MSMEs.

This study investigates the impact of artificial intelligence (AI) applications on reducing default risk in micro, small, and medium enterprises (MSMEs), with the aim of ensuring financial sustainability. By focusing on 450 MSMEs located in the North Al Batinah Governorate of the Sultanate of Oman, the research uses a regression model and various statistical tests to examine the relationship between AI adoption and default risk. The findings indicate that the use of AI is the most influential factor in mitigating default risk, highlighting the importance of encouraging AI adoption among MSMEs. Additionally, the perspectives of MSME owners play a significant role, suggesting that raising awareness of AI's benefits in credit risk management is essential. The study is limited to a specific region in Oman but offers valuable insights into the challenges and benefits of AI implementation in MSMEs. It recommends initiatives to shift the mindset of MSME owners toward embracing AI, as well as policies to support investment in AI tools to strengthen credit risk assessment and prevent financial distress. This research contributes to the growing body of knowledge by demonstrating how AI can reduce default rates and improve repayment performance, ultimately supporting the financial sustainability of MSMEs.

The textile sector and other high-risk industries need managers and supervisors to preserve ethical standards because they must ensure fair wages and working conditions for all employees. Managers must also ensure that all employees receive proper treatment at work. The ethical obligations related to occupational health and safety regulations do not receive proper attention in Bangladesh’s textile sector and many times go neglected. The protective measures required to safeguard workers receive inadequate attention from many managers who thus expose their employees to risk. The research focuses on ethical culture and managerial behavior within the textile industry sector. The research team used an intercept survey to gather data from 385 managers and supervisors who work at five factories in Dhaka and Narayanganj. The research study used SmartPLS 4 as a structural equation modeling tool to analyze the relationship between ethical culture and decision-making patterns. The results show that there is a positive correlation between ethical culture and ethical behavior. Those managers who follow ethical standards make better decisions that lead to better workplace practices. These results highlight the need for strong ethical commitments, thorough policies, and strict regulatory actions to develop a long-term ethical work culture. The study also reveals that managing ethical culture can provide managers with better reasons to focus on workplace safety. When organizational operations incorporate ethical principles as part of their daily routine, the organization becomes more transparent as well as fair and responsible. The research offers immediate practical implications while establishing a future research foundation to enhance ethical decision-making in Bangladesh’s textile sector. By establishing ethical standards and maintaining managerial accountability organizations can create lasting sustainability which benefits their employees and the industry as a whole.

This study investigates the impact of meta-brand engagement on consumers’ willingness to buy in the Metaverse. Adopting a quantitative, cross-sectional research design, data were collected through an online survey from 300 active Metaverse users, selected via purposive sampling to ensure relevance. Validated instruments measured various dimensions of meta-brand engagement and willingness to buy. The analysis employed both correlation and multiple regression techniques to test five hypotheses concerning these relationships. The results revealed that brand awareness and knowledge, as well as emotional and psychological factors, have a positive and significant influence on willingness to buy. Conversely, social and incentive factors exhibit a significant negative effect. The remaining factors—brand interaction and engagement and perceived value and experience—were not found to have a significant impact. These findings offer valuable insights into how meta-brand interactions shape consumer decision-making in virtual environments, providing actionable implications for marketers aiming to refine branding strategies within the Metaverse and deepen their understanding of virtual consumer behavior.

The study aimed to examine the impact of sustainable business practices on organizational behavior. Under a qualitative research design, purposive sampling was used to conduct interviews at Abu Dhabi Sewerage Services Company (ADSSC) in the UAE, and thematic analysis was applied to analyze the data. The interviews were conducted using a semi-structured questionnaire, with participation from seven managers at ADSSC. The research findings revealed that ADSSC employs modern technology and has a comprehensive plan for implementing sustainable business practices. More than 95 percent of customers expressed satisfaction with their services, attributed to the SMS and calling facilities that offer quick responses. However, there was a 5 percent dissatisfaction rate due to recurring issues caused by private companies. The infrastructure of Abu Dhabi's sewerage services needs to expand to accommodate the growing population and urban sprawl. ADSSC faces challenges related to reliance on subsidies and the need to adopt appropriate tariff regimes and regulations to maintain its market significance.

Energy consumption promotes economic growth while simultaneously contributing significantly to carbon emissions, posing a quandary for policymakers in balancing economic growth and pollution reduction. This study empirically explores the relationship between carbon emissions and economic growth in Nigeria using cointegration and dynamic causality analysis with annual time-series data from 1981 to 2021. Several econometric techniques, including unit root tests, Granger causality tests, and cointegration tests using the Autoregressive Distributed Lag (ARDL) Bounds Test and ARDL model approach, are employed. To examine the causal links between the variables, Granger’s long-run dynamic analyses are conducted within an Error Correction Model (ECM) framework. The findings reveal a link between CO? emissions and economic growth in Nigeria. Throughout the study period, a negative and statistically insignificant relationship exists between CO? emissions and long-term economic growth. However, during the lagged period, CO? emissions and economic growth exhibit a strong and positive long-term association. Additionally, the study identifies a bidirectional long-run causal relationship between CO? emissions and economic growth. A key policy recommendation is for the government to implement clean energy strategies aimed at transitioning from non-renewable to renewable energy sources. This shift would help mitigate the negative effects of CO? emissions on economic development while promoting long-term sustainability.

This study investigates the determinants of wages and compensation in the Palestinian public sector and their potential implications for performance. It examines compensation rates and analyzes reasons for variation between the West Bank and the Gaza Strip. Adopting a descriptive approach, the study reviews relevant literature and incorporates insights from interviews with six specialists in the Palestinian public sector. The findings reveal logical reasons for disparities in compensation between the two regions and suggest that factors such as job scarcity and limited alternatives sustain the relationship between compensation and performance, despite significant differences in wage rates. This study uniquely explores the motivations for seeking public office in two geographically distinct yet interconnected areas of Palestine while addressing the sensitive political context and complex circumstances. The significance of this study lies in capturing perspectives of governmental specialists who seldom have the opportunity to discuss the political divisions affecting Palestinian community and governance. Recommendations include ensuring fairness in compensation disbursement by standardizing wage rates across regions and conducting further quantitative and survey-based research. The paper argues that a more effective accountability mechanism will deter the opportunistic behaviors of managers engaging in earnings management.