Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO 2 , inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries. The probit regression results give a different outcome, as rescon, FID, CO 2 , Human Development Index (HDI), and investment in the energy sector by the private sector that will likely have an impact on the green financing and climate change mitigation of the study countries. Furthermore, after matching the analysis through the nearest neighbor matching, kernel matching, and radius matching, it produced mixed results for both the treated and the untreated countries. Either group experienced an improvement in green financing and climate change mitigation or a decrease. Overall, the DID showed no significant difference among the countries.

No abstract

Currently, there is an increasing trend in the organizations towards examining the artificial intelligence and nonartificial intelligence for the innovation and success of the new product, as well as getting the intentions of the upcoming researchers. Thus, the purpose of the ongoing study is to examine the role of artificial and nonartificial intelligence in the new product success along with the moderating role of new product innovation in the manufacturing organizations of China. The quantitative methods have been followed by the study and gathered the responses from the respondents using questionnaires, and analysis has been conducted by using the smart-PLS. The results exposed that artificial intelligence and nonartificial intelligence have positive and significant nexus with the new product success. The outcomes also revealed that the new product innovation significantly moderated the links among the nonartificial intelligence and new product success, but it insignificantly moderated the links among the artificial intelligence and new product success in the manufacturing organizations of China. These findings have provided the guidelines to the manufacturing companies and their policies developing authorities that they should be developed and implement the suitable policies regarding the adoption of artificial intelligence and nonartificial intelligence that enhance the success of the new product, which ultimately enhances the success of the organization.

The feeling of job boredom can impede employees’ performances but it can be improved through engaging them in job crafting activities. It is important to understand the concept of job boredom because it can lead to many negative consequences at the work place. The study attempted to investigate the impact of perceived organizational support, servant leadership, creative self-efficacy, and conscientiousness on job boredom through the mediating effect of job crafting. Data has been collected from 450 employees of Punjab and Sindh working in banking sector of Pakistan through questionnaires. The data is analyzed with the help of SPSS 22 and Smart PLS 3. The findings reveal that there is significant and positive impact of perceived organizational support, servant leadership, creative self-efficacy, and conscientiousness on job crafting. Additionally, job crafting has significant and negative impact on job boredom. However, job crafting also significantly mediate between perceived organizational support, servant leadership, creative self-efficacy, conscientiousness, and job boredom. Moreover, the study also suggests that future researchers can explore other outcomes of job crafting through which job boredom can be mitigated.

The main objective of the current study is to investigate the direct relationship between the green supply chain management, environmental management, and sustainable performance. In addition to that the study has also examined the mediating role of environmental management. The manufacturing firms listed in PSX are chosen as a sample of the study. The study has employed the survey based methodology and the data were collected with the aid of a questionnaire. The response rate after omitting unusable questionnaires is 59.6%. For the data analysis, the study has chosen, SEM-PLS, which is one of the most robust technique for the data analysis. The findings of the study have shown agreement with the hypothesized results. The response rate after omitting unusable questionnaires is 59.6%. The researchers highlighted the presence of two different mediation impacts between the internal and external GSCM activities or both are the mediators of these associations. The scholars highlighted the presence of two different mediation impacts between internal and external GSCM practices and organizational economic performance enhancement. The study will be helpful for practioners, and policymakers in understanding the issues related to green supply chain management, environmental management, and sustainable performance.