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    37 research outputs found

    Strategic Role of Artificial Intelligence for Sustainable Cooperation in Northeast Asia

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    This research explores the strategic use of artificial intelligence (AI) to enhance sustainable cooperation in Northeast Asia among China, Japan, and South Korea towards UN SDGs. The research uses a mixed methodology approach to understand how AI can bring peace, economic resilience, and environmental sustainability to the region. This paper traces the evolution of cyber security, green technology, and financial partnerships among China, Japan, and South Korea by examining their past and current trilateral meetings. Using Porter’s Diamond Model, a comprehensive statistical analysis that describes each country’s role in global network security work within six dimensions will be applied to evaluate these key countries’ resilience and competitiveness in the digital economy. Cross-border data flow is one of the components of public-private partnerships within cyber defense technologies innovation. Moreover, a holistic perspective on AI adoption highlights its strategic positioning, competitive intelligence, and continuous improvement through unity. AI-powered initiatives could support regional harmony by promoting digital sustainability and facilitating economic resilience and environmental sustainability. Future studies should seek empirical evidence that gives more operational responses for practical AI cooperation among China, Japan, and the Republic of Korea. This article discusses how digital technologies can better address immediate sustainability needs while providing a platform for future generations seeking positive change based on academic insights translated into practical strategies. On a broader scale, AI can be used for peacebuilding, economic recovery, and environmental conservation to make societies more stable, prosperous, and equitable

    Influence of Fintech Adoption on Sustainable Performance via mediation role of Green Finance and Green Innovation

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    This study investigates the interrelationships between fintech adoption, green finance, green innovation, and sustainable performance within the financial sector of the United States. A cross-sectional research design was employed, and data were collected from 398 entry-level and managerial-level employees. Convenience sampling was utilized to gather a diverse representation of participants working across various roles within financial organizations. Partial Least Square Structural Equation Modeling was employed for data analysis. The findings reveal significant positive relationships between fintech adoption, green finance, green innovation, and sustainable performance, underscoring the transformative potential of fintech in driving sustainability initiatives within the financial sector. Specifically, fintech adoption positively influences both green finance and green innovation, while green finance and green innovation independently contribute to sustainable performance. Moreover, fintech adoption indirectly impacts sustainable performance through its effects on green finance and green innovation, highlighting the interconnectedness of these constructs in driving organizational sustainability. The findings offer valuable insights for policymakers, financial institutions, businesses, innovators, and sustainability practitioners seeking to leverage fintech and innovation to promote sustainable development and enhance organizational performance within the financial sector

    The Effect of Sustainable Human Resource Management on the Sustainable Competitive Advantage in the University of Gondar: Serial Mediation Role of Organizational Justice and Wellbeing

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    Strategic HRM researchers have been increasingly diverted from traditional HRM approach to Sustainable HRM (S-HRM) as a new strategic view to enhance Sustainable Competitive Advantage (SCA) of institutions. But most of studies focused from inside-out or economic-centered while common good sustainable approach initiated from outside-in approach that focuses on the variables such as Well Being (WB) and Organizational Justice (OJ) to achieve ecological, economic and social goals. From integration of social exchange theory, which focuses on the exchange of sustainable HRM practices of organization and perceived social (organizational justice) and individual (wellbeing), and resource-based view, which focus on the stock of wellbeing is a source of sustainable competitive advantage, to show the serial mediation of OJ and Wellbeing between sustainable HRM and SCA. We analyzed the data collected from 276 employees of university of Gondar using jamovi software and partial least square approach of structural equation model as it holds sample size that it’s alternative. The finds revealed that the sequential role of justice and well-being between S-HRM to SCA (IE1, β = 0.012, p = 0.010); the effect of S-HRM on SCA mediated solely through OJ (IE2, β = 0.118, p < 0.001) the mediating role of WB (IE3, β = 0.039, p = 0.009) between S-HRM and SCA. Accordingly, we recommended that serial mediation of WB and OJ between S-HRM and SCA using SET an RBV theories to solve sustainability goal complex and strategic perspective of HEIs. To enhance competitiveness, HEIs should have better to enhance OJ and WB

    Unlocking Employee Silence through Leader Machiavellianism: The Moderated Mediated Assessment

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    Grounded on the social exchange theory, this study investigates the link between leader Machiavellianism and employee silence behavior by considering the employee\u27s relational identification as a mediator and Perception of Politics as a moderator. Sampling Data was collected from Middle-tier employees of the banking sector in Pakistan through a convenient sampling technique. A sample of 315 bank officers is being selected. For testing the model, SPSS & AMOS has been used for data analysis. Preacher and Hayes methods were used for mediation analysis. The findings of this study demonstrated that leader Machiavellianism does not directly affect employee silence; rather, a strong positive link between leader Machiavellianism and employee silence has been identified through mediation. Relational Identification had an important mediating effect on leader Machiavellianism and employee silence. Furthermore, the perception of politics was discovered to be significant as a moderator, strengthening the unfavorable association between leader machiavellianism and relational identity. According to the conclusions of this study, banking officers should be more sensitive while interacting with their employees since it would build a happy work atmosphere with stronger interpersonal interactions, hence minimizing workplace silence. As a result, the banking sector must implement effective strategies to help bank managers deal with the Perception of Politics among workers at work

    The Value of Sustainability: How Environmental, Social, and Governance Cost Investments Impact Corporate Financial Performance

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    This study aims to explore the impact of environmental, social, and governance (ESG) cost investment on corporate financial performance, using sustainable development theory, stakeholder theory, and agency theory as a comprehensive theoretical framework to clarify the definition and measurement standards of ESG cost investment (including environmental, social, and governance expenditures). The ESG cost investment data comes from the annual reports, sustainable development reports, or social responsibility reports released by listed companies, and return on assets and return on equity are selected as financial performance indicators for enterprises. The findings indicate that ESG cost investment, as well as environmental investment, social responsibility investment, and governance investment, have a positive impact on corporate financial performance. In addition, the study also considered corporate ownership structure and industry-specific factors to understand how ESG cost investment affect business performance in different contexts. By studying enterprise heterogeneity and industry-specific dynamics, this study aims to provide tailored management recommendations for enterprises in different ownership and industries. This study aims not only to contribute to academic discussions on corporate sustainability, but also to provide practical significance for businesses and investors by emphasizing the financial benefits of strategic ESG investments

    Determinants of Employee Performance Evaluation in Service Sector Businesses of United States

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    This cross-sectional study investigates the relationships between work environment, supervision, compensation, job satisfaction, and performance outcomes within the service sector of organizations in the United States. Using convenience sampling, data was collected from 291 participants through online surveys. The study employs comprehensive analysis techniques, including path analysis and mediation analysis, to examine the direct and mediated effects of organizational factors on performance outcomes through job satisfaction. The findings underscore the pivotal role of job satisfaction as a central mediator, transmitting the influence of work environment, supervision, and compensation onto performance metrics. The study highlights the significance of fostering conducive work environments, supportive leadership, and fair reward systems to enhance job satisfaction. Furthermore, it demonstrates the tangible impact of job satisfaction on various performance outcomes, including task performance, adaptive performance, and contextual performance. These findings provide valuable insights for organizational management strategies aimed at improving employee well-being and organizational effectiveness in the service sector

    Roles of Artificial Intelligence in Promoting Education for Sustainable Development in Lower-Middle-Income ASEAN Economies

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    This study examines the role of artificial intelligence (AI) in promoting Education for Sustainable Development (ESD) in lower-middle-income ASEAN economies, focusing on two critical areas: the challenges to AI adoption and strategies to optimize AI alignment with sustainable development goals. The research identifies key barriers to AI integration, including technological readiness, financial constraints, policy gaps, and socio-cultural factors, through document analysis and case studies. It highlights region-specific challenges, such as inadequate digital infrastructure and limited teacher training, that hinder AI adoption in education. Additionally, the study explores how AI can be optimized to support Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education) and SDG 9 (Innovation and Infrastructure), by enhancing educational access, promoting gender equality, and enabling personalized learning. Using the Grounded Theory model, the findings suggest that AI can reduce inequalities and empower underserved communities by improving educational outcomes. However, successful AI integration requires a balanced approach that prioritizes ethical considerations and inclusivity. The study advocates for collaborative efforts between governments, educational institutions, and technology providers to establish an ecosystem that supports responsible AI deployment. By addressing these challenges and leveraging AI’s potential, stakeholders can unlock new opportunities to foster sustainable development and improve educational outcomes in ASEAN lower-middle-income economies

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