Enhancing Kurdistan's manufacturing companies' sustainable waste management: A norm activation approach to green accounting, CSR, and environmental auditing oversight.

The significance of accurate energy production prediction cannot be overstated, especially in the context of achieving carbon neutrality and balancing traditional and clean energy sources. Unlike conventional models with simplified assumptions or limited data inputs hindering energy usage optimization, waste reduction and efficient resource allocation, we introduced a novel structural equation modelling approach to eight manufacturing industries' sustainable waste management practices (SWMPs) in Iraq. This comprehensive analysis, conducted with Smart PLS software on 375 responses aims to enhance energy production predictions' accuracy and support sustainability goals contribute to achieving carbon neutrality goals and promote a balanced energy mix that supports sustainability and environmental stewardship. The findings reveal noteworthy insights: notably, chemical manufacturing companies exhibit a substantial advantage from green accounting practices, witnessing a 78.1 % and 45.8 % improvement in environmental auditing oversight and SWMPs, respectively, compared to other manufacturing sectors. Compared to conventional grey models, our model demonstrates that a 1-unit improvement in CSR enhances environmental auditing oversight effectiveness by 33.4 % and sustainable waste management by 56.9 % across industries. By leveraging these data-driven insights and innovative approaches, we can drive positive change towards a more sustainable and resilient energy future, collectively contributing to a more resilient, efficient, and sustainable energy ecosystem that benefits societies, economies, and the environment. The heightened accuracy of energy production prediction facilitated by our novel model empowers stakeholders at regional and global levels to make informed decisions, mitigate risks, support policy development, achieve sustainability goals, formulate effective policies and foster collaboration.

Influence of blockchain and artificial intelligence on audit quality: Evidence from Turkey.

This study aims to investigate the influence of blockchain and artificial intelligence on the audit quality of firms from Turkey. Primary data from 300 respondents are collected through random sampling to attain the study's objectives. PLS-SEM is used to investigate the relationship between exogenous and endogenous variables. Our findings show that blockchain technologies and artificial intelligence (AI) utilization in their financial system positively impact audit quality by assisting in the audit process and the detection of fraud, which also improves financial reporting. Blockchain and Artificial Intelligence in the financial system create confidence for investors, stakeholders, and legislators. Moreover, this study advocated significant implications for investors, government, firms, and policymakers. Investors can make investment decisions based on the accuracy of the financial accounts; the government and policymakers can improve the governance mechanism by using the study's findings.

The Influence of Medicine Approaches on Patient Trust, Satisfaction, and Loyalty.

The increase in traditional and complementary medicine (TCM) methods has revealed the necessity of determining relevant behavioral tendencies among healthcare users. In our study, the evaluation of TCM approaches of healthcare users living in North Cyprus in terms of treatment effectiveness, patient trust and patient satisfaction, and the effects of these variables on patient loyalty, were investigated. Data were collected utilizing the scale approach as well as the survey technique in order to measure the variables in the study. A total of 452 participants completed the survey. TCM has a positive effect on treatment effectiveness, patient trust and patient satisfaction. Patient trust and patient satisfaction have a positive effect on patient loyalty, whereas treatment effectiveness did not have a significant effect on patient loyalty. There is a significant and positive mediating effect of patient trust and patient satisfaction between TCM and patient loyalty. However, the mediating effect of treatment effectiveness is not significant between TCM and patient loyalty. This study will help researchers and practitioners understand the importance of attitude, trust, effectiveness, satisfaction and loyalty in relation to TCM. It is suggested that studies that measure the behaviors of patients should increase in order to obtain better health outcomes.

The Effect of Service Quality on Patient Citizenship Behaviors: Evidence from the Health Sector.

BACKGROUND: Nowadays, health organizations seek to bring innovations to their services to stand out in competition with their rivals by improving service quality (SQ), encouraging patients to always make the same organizational choices, and enhance the behavior of patient citizenship. OBJECTIVE: This study aims to determine the mediating role of patient satisfaction (PS), patient loyalty (PL), and employee responsiveness (ER) between the service quality and patient citizenship behaviors (PCB). METHODS: In order to test the proposed hypotheses, quantitative research methods were utilized; cross-sectional data was collected using scales between December 2021 and March 2022. Results were obtained from 422 participants. The data were analyzed using descriptive statistics, correlation, confirmatory factor analysis, and structural equation modeling methods, using AMOS 21. RESULTS: SQ was found to have a significant and positive effect on PL, PS, and ER. PL, PS, and ER were found to have a significant and positive effect on PCB. The indirect effect of SQ on PCB was found to be positive. DISCUSSION: The findings demonstrate that SQ does not directly affect or create PCB, but it is affected by the mediators in order to create PCB via satisfaction, loyalty, and employee responsiveness.