This study conducts a systematic literature review to analyze the integration of artificial intelligence (AI) within business excellence frameworks. An analysis of the findings in the reviewed articles yielded five major themes: AI technologies and intelligent systems; impact of AI on business operations, strategies, and models; AI-driven decision-making in infrastructure and policy contexts; new forms of innovation and competitiveness; and the impact of AI on organizational performance and value creation in infrastructure projects. The findings provide a comprehensive understanding of how AI can be integrated into organizational excellence emerged frameworks to address challenges in infrastructure governance, and sustainable development. Key questions addressed include: how AI affects consumer behavior and marketing strategies. What AI’s capabilities for businesses, especially marketing and digital strategies? How can organizations address the drivers and barriers to help make better use of AI in these business operations? Should organizations even do anything with these insights? These questions and more will be tackled throughout this discussion. This paper attempts to derive a comprehensive conceptual framework from several fields of human resources, operational excellence, and digital transformation, that can help guide organizations and policymakers in embedding AI into infrastructure and development initiatives. This framework will help practitioners navigate the complexities of AI integration, ensuring profitability and sustainable growth in a highly competitive landscape. By bridging the gap between AI technologies and development-related policy initiatives, this research contributes to the advancement of infrastructure governance, public management, and sustainable development.

The study’s goal is to evaluate how microfinance initiatives affect women’s empowerment in Bangladesh. For this study, we analyzed data on a variety of women’s empowerment-related issues, including both beneficial and detrimental elements that stand in the way of women’s empowerment. Therefore, in order to accomplish the specified goal, we choose a suitable and intentional methodology. We employ diverse data gathering approaches to examine the gathered data and achieve the primary goal of the research project. It presents the positive effects of microfinance on women, such as (1) the enhancement of women’s authority in financial affairs; and (2) the augmentation of their ability to make decisions in household; and (3) community matters following their participation in the microfinance program. This also provides an analysis of the data pertaining to the adverse effects of microfinance on women. It examines how women encounter various challenges and engage in unethical behaviors after obtaining a loan, leading to heightened levels of stress following their participation in the microfinance program. This study looks into the advantages and disadvantages of Grameen Bank’s microcredit program for women. A questionnaire gathered primary data for this study from women participating in the microfinance program in Gopalgonj. To collect information and comprehend respondent behavior, I used case study, analytical and descriptive study design. Regression analysis, correlation, and percentage are used to examine the data. The findings indicate that women’s decision-making skills have improved due to their financial stability, but they have also experienced increased life challenges and high levels of stress.

While some conflict can serve as a more sophisticated stimulus to student achievement, significant or unresolved conflict can delay or even frustrate even the best-planned curriculum. The aim of our study is to get a clear picture of the conflicts with whom and to what extent the international students studying on our campuses have conflicts that affect their performance, and how they can manage them. In our study, based on a questionnaire survey (n = 480), we revealed that the international students at our university have the most conflicts with other foreign students, and the least with Hungarians, including their teachers. On the other hand, we found that according to the Thomas-Kilmann Conflict Instrument, they solve their problems by the Compromising and Accommodating style. The results obtained by detailed socio-demographic aspects show significant differences, mainly between gender, age, and country groups. Knowledge of the revealed facts and connections can offer conscious and careful solutions to understand and reduce tensions, and this can improve the understanding and management of conflict in the classroom, in collaborative projects, and even in non-teaching environments on campuses.

Adequate sanitation is crucial for human health and well-being, yet billions worldwide lack access to basic facilities. This comprehensive review examines the emerging field of intelligent sanitation systems, which leverage Internet of Things (IoT) and advanced Artificial Intelligence (AI) technologies to address global sanitation challenges. The existing intelligent sanitation systems and applications is still in their early stages, marked by inconsistencies and gaps. The paper consolidates fragmented research from both academic and industrial perspectives based on PRISMA protocol, exploring the historical development, current state, and future potential of intelligent sanitation solutions. The assessment of existing intelligent sanitation systems focuses on system detection, health monitoring, and AI enhancement. The paper examines how IoT-enabled data collection and AI-driven analytics can optimize sanitation facility performance, predict system failures, detect health risks, and inform decision-making for sanitation improvements. By synthesizing existing research, identifying knowledge gaps, and discussing opportunities and challenges, this review provides valuable insights for practitioners, academics, engineers, policymakers, and other stakeholders. It offers a foundation for understanding how advanced IoT and AI techniques can enhance the efficiency, sustainability, and safety of the sanitation industry.

Artificial Intelligence (AI) has become a pivotal force in transforming the retail industry, particularly in the online shopping environment. This study investigates the impact of various AI applications—such as personalized recommendations, chatbots, predictive analytics, and social media engagement—on consumer buying behaviors. Employing a quantitative research design, data was collected from 760 respondents through a structured online survey. The snowball sampling technique facilitated the recruitment of participants, focusing on diverse demographics and their interactions with AI technologies in online retail. The findings reveal that AI-driven personalization significantly enhances consumer purchase intentions and satisfaction. Multiple regression analysis shows that AI personalization (β = 0.35, p < 0.001) has the most substantial impact on purchase intention, followed by chatbot effectiveness (β = 0.25, p < 0.001), predictive analytics (β = 0.20, p < 0.001), and social media engagement (β = 0.15, p < 0.01). Similarly, AI personalization (β = 0.30, p < 0.001), predictive analytics (β = 0.25, p < 0.001), and chatbot effectiveness (β = 0.20, p < 0.001) significantly influence consumer satisfaction. The hierarchical regression analysis underscores the importance of ethical considerations, showing that ethical and transparent use of AI increases consumer trust and engagement. Model 1 explains 45% of the variance in consumer behavior (R² = 0.45, F = 154.75, p < 0.001), while Model 2, incorporating ethical concerns, explains an additional 10% (R² = 0.55, F = 98.25, p < 0.001). This study highlights the necessity for retailers to leverage AI technologies ethically and effectively to gain a competitive edge, improve customer satisfaction, and drive long-term success. Future research should explore the long-term impacts of AI on consumer behavior and the integration of emerging technologies such as augmented reality and the Internet of Things (IoT) in retail.

In the era of globalization and advanced information transparency, competition between companies has become increasingly fierce due to the large number of products and services that have similar characteristics. This situation creates a competitive and dynamic business climate, where companies must adapt quickly to the changes that occur. This study investigates the impact of servant leadership on employee performance at Mandiri In health, focusing on employee engagement and Organizational Citizenship Behavior as relevant mediating variables. The study used a proportionate stratified random sampling method to determine the sample of respondents, which ultimately consisted of 206 individuals who were analyzed using Structural Equation Modeling (SEM) techniques. The main findings of the study show that servant leadership has a significant direct influence on employee performance, employee engagement, and Organizational Citizenship Behavior in the company. This indicates that service-oriented leadership practices not only influence individual performance, but also contribute to employee volunteering and active engagement in the organization. Employee engagement and Organizational Citizenship Behavior affect employee performance directly, there is no evidence that servant leadership affects employee performance indirectly through the mediation of employee engagement. There is an indication that Organizational Citizenship Behavior acts as a mediator between servant leadership and employee performance, indicating the importance of organizational citizenship behavior in facilitating the positive relationship between leadership and performance. These findings provide a deeper understanding of how leadership strategies can significantly contribute to the achievement of organizational goals in a competitive business environment.