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The ups and downs of climate policy uncertainty (CPU) cast a captivating shadow over the budgets allocated to renewable energy (RE) technologies, where strategic choices and risk assessment will determine the course of our green environmental revolution. The main intention of this investigation is to scrutinize the effect of CPU on the RE technology budgets (RETBs) in the top 10 countries with the highest RE research and development budgets (the USA, China, South Korea, India, Germany, the United Kingdom, France, Japan, Australia, and Italy). Although former researchers have typically employed panel data tools to contemplate the connection between CPU and RE technology, they repeatedly ignored variations in this connection throughout different economies. In contrast, our research adopts a unique approach, "quantile‐on‐quantile," to check this association at the country‐to‐country level. This approach offers a comprehensive worldwide perspective while procuring tailor‐made perceptions for individual economies. The outcomes suggest that CPU significantly decreases RETBs across several data quantiles in our sample nations. In addition, the outcomes underscore that the connections between our variables differ among nations. These outcomes highlight the significance of policymakers implementing thorough appraisals and skillfully governing plans relevant to CPU and RETBs. [ABSTRACT FROM AUTHOR]

Most of the scientific and industrial experiments usually involve small number of factors, especially biomedical experiments and computer based experiments. We construct some highly useful designs for small number of factors. Designs are constructed using subsets of regular structure and the subsets based on irregular fractions. We compare the various designs on the basis of their robustness to missing design point under minimax loss criterion. To explore some other useful properties designs are also compared on the basis of common alphabetic optimalities. For the investigation of prediction capability of competing designs, we have constructed fraction of design space plots for the variance of difference of response. We observe that some uncommon designs reveal nicer qualities of a good design. It was interesting to see various choices of designs under different optimality criteria. Suggested designs can be highly useful for the experimenters to choose a plan possessing desirable qualities. [ABSTRACT FROM AUTHOR]

The present study investigates the impact of ethical leadership on the psychological well-being of employees within service sector firms located in Lahore, Pakistan. The current study examined the mediating role of organizational identification. The present study employs strata that are determined by sector and employee level, as it is limited to white-collar workers who possess the ability to provide insights on ethical leadership. The data obtained from a sample of 230 participants was subjected to analysis. The data analysis encompassed various statistical techniques, such as frequency analysis, descriptive analysis, correlation analysis and regression analysis. There was a significant correlation observed among the study variables. The impact of ethical leadership extends to the mental well-being of employees. The concept of organizational identification also serves as a mediator in their interaction. Given the study's specific focus on service sector companies, its findings hold significant implications for local industries, particularly the service industry. In the concluding remarks of the study, it is suggested that future researchers may address the limitations identified in this research. [ABSTRACT FROM AUTHOR]

The present empirical study was conducted to determine the major institutional and technological impediments in usage of information and communication technologies for health seeking information in Lahore, Pakistan. The statistical results of the present study depicted that age, education, type of institution and time spend on ICT's resources for health related information were the digitally significant health particulars. Among various barricades in usage of digitally loaded technologies, lack of availability, inadequate technical and administrative supports as well as provision for ICT's usage for maintaining health regime were the major acclaimed institutional impediments. Moreover, lack of guidance in ICT's access, usage of limited accessible engines for searching ICT's, poor technological performance and expertise as well as lack of updated health information on ICT's available search engines were the major technological impediments in digital insurances of health certainties. [ABSTRACT FROM AUTHOR]

The present study examines the integrated web model relationship between factors related with tripartite engagement dimensions and students' academic performance through their multidimensional engagement in learning milieu. A sample size of N=2758 high school students was selected from South Punjab, Pakistan. The bivariate statistical regression analysis revealed that cognitive engagement factors produce highest variance in students' academic performance, behavioral engagement and cognitive engagement. Additionally, students overall engagement and cognitive induction produce highest variance in their academic performance. In multivariate hierarchical linear regression modeling, it was evident that cognitive engagement factors have highest influence on students' academic performance while emotional integration factors produce highest variance in their multidimensional engagement levels. Results also indicated that students' overall engagement mediated the relationship between tripartite model of students' engagement factors and their academic performance. [ABSTRACT FROM AUTHOR]

There is a growing theoretical literature on differential dimensions of school context that directly affect the academic outcomes of high school students. Based on prior systematic review, the current study derived a convoluted intricate web model relationship between socio-educational predictors and students' academic outcomes. N=2758 students' were targeted in high schools of South Punjab, Pakistan. Using simple linear regression analysis, it was investigated that students' engagement along with its multidimensional aspects mediates the relationship between socio-educational predictors (stakeholders' participation, goal directness, learning context, along with engagement dimensions') and academic performance in high schools of study vicinity. Using an open learning environment with radical structural reformations in schools can improve the students' academic performance and engagement in learning context. [ABSTRACT FROM AUTHOR]

The ridge regression estimator, one of the commonly used alternatives to the conventional ordinary least squares estimator, avoids the adverse effects in the situations when there exists some considerable degree of multicollinearity among the regressors. There are many software packages available for estimation of ridge regression coefficients. However, most of them display limited methods to estimate the ridge biasing parameters without testing procedures. Our developed package, lmridge can be used to estimate ridge coefficients considering a range of different existing biasing parameters, to test these coefficients with more than 25 ridge related statistics, and to present different graphical displays of these statistics. [ABSTRACT FROM AUTHOR]

This study investigates the impact of motivation and supervisor support on innovation capability with a mediating effect of knowledge sharing. Furthermore, the primary purpose of this study was how to enhance the innovation capability in dairy farms for the country growth. The data were collected from managers/owners of the dairy farms (n=254 questionnaires) by using the simple random sampling technique. This study was performed the SmartPLS 3 to analyze relationship between the exogenous and endogenous variables. The results revealed that motivation and supervisor support have a significant positive impact on innovation capability (P=0.028). On the other hand, motivation and supervisor support have positively influenced on the knowledge sharing (P=0.021). Furthermore, empirically test confirmed that the knowledge sharing partially mediates the relationship between motivation and supervisor support with the innovation capability. In conclusion, it is recommended that dairy farm managers/owners should focus on motivation and supervisor support to enhance the value of the innovation capability for rapid growth and development of dairy sector in the country. [ABSTRACT FROM AUTHOR]

The aim of this paper is to link transformational leadership with knowledge sharing and innovative capability. For this data was collected by using questionnaire from the 254 managers and owners working in the dairy sector of Pakistan by using simple random sampling techniques. Data was analyzed with the help of SPSS. Factor analysis and Cronbach's Alpha confirmed the validity and reliability of the Instrument. Findings provide the positive and significant impact of transformational leadership on knowledge sharing and innovative capability. Moreover, knowledge sharing of employees mediates the relationship between transformational leadership and innovative capability. Finally, practical and theoretical implications along with limitations have also been discussed in the paper. [ABSTRACT FROM AUTHOR]

The main purpose of this research is to determine whether the motivation, trust and technology (ICT) can influence knowledge sharing and innovation capability. The model of this research paper is tested using a sample of 254 managers and owners of dairy farms in Pakistan. Researcher has used simple random sampling technique for the data collection through questionnaires. SMART-PLS, (Partial Least Square) version 3.2.4 is used to analyze the collected data in this research paper. The results show that there is positive relationship between technology, motivation with knowledge sharing and innovation capability. While trust has a positive effect on knowledge sharing and innovation capability, but relationship of trust is insignificant. Therefore, the hypothesis of trust with knowledge sharing and innovation capability is rejected. This research paper has significant managerial implications that innovation capability can be enhanced through information communication technology (ICT), motivation of employee and knowledge sharing. [ABSTRACT FROM AUTHOR]

The ups and downs of climate policy uncertainty (CPU) cast a captivating shadow over the budgets allocated to renewable energy (RE) technologies, where strategic choices and risk assessment will determine the course of our green environmental revolution. The main intention of this investigation is to scrutinize the effect of CPU on the RE technology budgets (RETBs) in the top 10 countries with the highest RE research and development budgets (the USA, China, South Korea, India, Germany, the United Kingdom, France, Japan, Australia, and Italy). Although former researchers have typically employed panel data tools to contemplate the connection between CPU and RE technology, they repeatedly ignored variations in this connection throughout different economies. In contrast, our research adopts a unique approach, "quantile-on-quantile," to check this association at the country-to-country level. This approach offers a comprehensive worldwide perspective while procuring tailor-made perceptions for individual economies. The outcomes suggest that CPU significantly decreases RETBs across several data quantiles in our sample nations. In addition, the outcomes underscore that the connections between our variables differ among nations. These outcomes highlight the significance of policymakers implementing thorough appraisals and skillfully governing plans relevant to CPU and RETBs., (© 2024 Society for Risk Analysis.)