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This research aims to analyse the transition from traditional leadership models to collaborative and agile approaches in management, as well as explore the challenges and opportunities that arise in the process of change. Using a qualitative research design with a case study approach, the unit of analysis is an organisation that has experienced or is transforming from traditional leadership to a more collaborative and agile managerial approach. Data sources were obtained through interviews with managers, line managers, and team members, as well as analysis of organisational policy documents related to leadership and the implementation of agile methodologies. The data collection techniques used include semi-structured interviews, direct observation, and document analysis. Data were analysed using thematic analysis methods to identify patterns and themes related to leadership transition and their impact on organisational performance. The research findings show that while the transition to collaborative and agile leadership provides benefits in terms of flexibility and collaboration, many organisations face difficulties in changing established organisational cultures. The contribution of this research is to provide insight into how this leadership change can improve work dynamics and organisational performance, as well as provide recommendations to overcome the challenges faced during the implementation of these changes.

This study aims to analyse the implications of digitalisation trends in business management on curriculum and teaching methods in educational institutions. Using a qualitative research design with a case study approach, the unit of analysis is a business management education program at several universities in Indonesia that have adopted technology in teaching. Data sources were obtained through interviews with education managers, lecturers, and students, as well as analysis of related policy and curriculum documents. The data collection techniques used were semi-structured interviews, classroom observations, and document analysis, while the data were analysed by thematic analysis methods to identify key themes related to digitalisation in education. The research findings show that despite the awareness of the importance of digitalisation, many educational institutions struggle to integrate technology thoroughly into their business management curriculum. The contribution of this research is to provide insight into the challenges and opportunities faced by educational institutions in adopting digitalisation, as well as offer recommendations for the development of technology-based curricula that are relevant to the needs of the digital business world.

This research aims to analyse the transition from traditional to online learning in business schools, as well as explore the controversies and challenges faced in this transition process. Using a qualitative research design with a case study approach, this research analysis unit is a management education program in business schools in Indonesia. Data sources were obtained through interviews with program managers, lecturers, and students, as well as analysis of related policy and curriculum documents. The data collection techniques used were semi-structured interviews, classroom observations, and document analysis, while data analysis was carried out by thematic analysis methods to identify the main patterns in the application of the two learning methods. The research findings show that while online learning offers flexibility, many students and lecturers still prefer face-to-face learning for more interactive and in-depth teaching. The contribution of this research is to provide insight into how business schools can adopt a hybrid approach that combines traditional and online learning to maximise teaching effectiveness and meet the evolving needs of the world of work.

This research aims to explore the role of innovation in public sector governance and policy in building competitive advantages at various levels of government. Using a qualitative approach, this study takes a unit analysis of local governments in Indonesia that have implemented technology-based policies and innovations in public governance. The research design used is a case study by collecting data through semi-structured interviews with public policy managers, observation, and analysis of related policy documents. The data analysis technique applied is thematic analysis to identify the main patterns related to the application of innovation in public management. The findings of the study show that local governments that successfully implement technology and data-based policies have improved service efficiency, transparency, and community participation, which strengthens their competitive advantage. The contribution of this research is to provide insight into the importance of integrating innovation in public sector governance to increase regional competitiveness and provide better services to the community.

This research aims to analyse the role of technology in improving financial management education, as well as how technology-based approaches are changing the way teaching and learning in this field are conducted. Using a qualitative research design with a case study approach, the unit of analysis is some of the universities in Indonesia that have integrated technology in their financial management education programs. Data sources were obtained through interviews with program managers, lecturers, and students, as well as analysis of curriculum policy documents. Data collection techniques were carried out through semi-structured interviews, observations, and document studies, while data analysis used thematic analysis methods to identify key patterns in the application of technology in financial management education. The research findings show that technology not only improves the quality of teaching but also makes it easier for students to understand complex material and improve their analytical skills. The contribution of this research is to provide insights into how technology can be a key driver in changing approaches to financial management education that are more innovative and in line with the needs of today's job market.

This research aims to examine the role of digital transformation in crisis management and its impact on business sustainability in times of emergency. The approach used is qualitative research with a case study design, where the analysis unit includes companies experiencing crises and implementing digital transformation. Data sources were obtained through interviews with managers and company leaders, as well as document analysis related to policies and strategies implemented during emergencies. Data collection techniques include in-depth interviews and document studies, while data analysis is conducted using thematic analysis methods to identify emerging patterns and relationships. The findings of the study show that digital transformation helps companies in accelerating responses to crises and ensuring operational continuity more effectively. This research makes a new contribution by showing how the application of digital technology can support business sustainability in the face of emergencies.

This study aims to explore the role of leadership transformation in facing challenges and opportunities in secondary schools in welcoming the era of technology-based education. Using a qualitative research design, the unit of this research analysis is the principal and teacher in several secondary schools. The data sources were obtained from in-depth interviews and observations of the leadership practices applied in these schools. Data collection techniques use semi-structured interviews and documentation, while data analysis is carried out through thematic analysis approaches to identify patterns and meanings in the leadership transformation process. The findings of the study show that adaptive and technology-based leadership affects the effectiveness of school management, improves teacher performance, and enriches students' learning experiences. The contribution of this research is to provide insight into how education leaders can utilise technology in the process of leadership transformation in secondary schools, which can be a reference for education policies in the face of changing times.

This study aims to examine the application of artificial intelligence (AI)--based education management in improving personalized philosophy learning. This study uses a qualitative approach with case study methods in several educational institutions that apply artificial intelligence-based educational technology. Data were collected through in-depth interviews with educators, focus group interviews with students, and observations on the implementation of artificial intelligence systems in philosophy learning. Data analysis was carried out using thematic analysis techniques to identify patterns of the use of educational technology in facilitating more personalized learning. The results of the study show that artificial intelligence-based education management can increase student involvement and deeper understanding of philosophy materials. The contribution of this research is to provide insight into how artificial intelligence technology can optimize the philosophy learning process with a more personalized and effective approach.

This study aims to analyze the effectiveness of project-based learning in improving vocational students' understanding of personal financial management. The method used in this study is qualitative research with a case study approach, where data is collected through in-depth interviews with teachers and students, observation of learning activities, and analysis of student financial project documentation. The interviews were conducted to explore the perspectives of students and teachers regarding their experiences in implementing project-based learning in financial education. Observation is used to see firsthand how students apply financial concepts in the projects they are working on. Documentation analysis was carried out on financial statements and student reflections to understand the impact of project-based learning on improving student understanding. The results of the study showed that students who learned using Project-Based Learning were better able to manage their finances better than conventional methods. The contribution of this research is to provide insight for educators and policymakers about the importance of applying project-based learning methods in improving the financial literacy of vocational school students.

This study aims to analyze the implementation of data-based management in improving the effectiveness of education in AI-assisted learning at the high school level. The analysis units in this study are data management systems and AI learning strategies in schools. The research design used is a qualitative study with a descriptive approach. The main data sources consist of principals, teachers, and high school students involved in the use of AI in learning. Data collection techniques include in-depth interviews, observations, and document analysis. The data is analyzed using thematic analysis techniques to identify patterns in the implementation of data-based management. The results show that the optimal use of data-based management can increase the effectiveness of AI-assisted learning through adaptive and evidence-based strategies. The main contribution of this research is to provide insights into how systematic data management can support technology-based educational innovation in the school environment.

This research aims to explore bilingual education management to improve the global competence of junior high school students and the preservation of local languages. The unit of analysis of this study is the policy of bilingual education management in junior high schools and its implementation in teaching. The research design used is qualitative research with a case study approach. Data sources were obtained from participants consisting of principals, teachers, and students in junior high schools who implemented bilingual programs. The data collection techniques used were in-depth interviews, participatory observations, and analysis of policy documents. Data analysis was carried out using thematic analysis techniques to identify the main patterns that emerged from the collected data. The key findings suggest that while bilingual education management can improve students' global competence, there are challenges in maintaining the preservation of local languages in bilingual classrooms. The main contribution of this research is to provide insight into the challenges and opportunities of integrating bilingual education with local language preservation, as well as its implications for education policies in junior high schools.

This study aims to analyze the effectiveness of project-based learning in improving the financial literacy of vocational school students in the digital era. The research method used is a qualitative approach with a case study design, where data is collected through in-depth interviews, participatory observations, and documentation analysis related to the implementation of project-based learning in financial literacy learning. The research participants consisted of vocational school students who were directly involved in finance-based learning projects, teachers of economics or finance subjects, and financial education experts. The data analysis process is carried out through data reduction techniques, data presentation, and conclusion drawing to identify patterns in students' understanding of financial management concepts in the digital context. The results of the study show that the application of project-based learning increases students' involvement in learning as well as their ability to manage personal finances more wisely. The contribution of this research is to provide insights for educators and policymakers in designing innovative learning strategies that are more contextual to the development of the digital era.

This study aims to examine the application of artificial intelligence technology in the transformation of education management in Junior High Schools to improve learning effectiveness. The research method used is a qualitative approach with a case study design, which involves observation, in-depth interviews with principals, teachers, and students, as well as analysis of documents related to the implementation of artificial intelligence-based digital learning. The data obtained was analyzed using thematic analysis techniques to identify the challenges, opportunities, and impacts of artificial intelligence technology in learning in junior high schools. The results of the study show that the application of artificial intelligence can increase the effectiveness of learning, especially in terms of personalization of learning and management of student learning time. The contribution of this research provides insight into the importance of artificial intelligence technology-based education management in improving the quality of learning at the junior high school level.

This study aims to analyse the paradigm change of character education in shaping national identity in secondary school through a qualitative approach. The unit of analysis of this study is a secondary school that implements character education as part of learning policies and practices. The research design uses descriptive qualitative studies, with the main data sources coming from principals, teachers, and students. Data was collected through in-depth interviews, observations of learning and school activities, and analysis of school curriculum and policy documents. Data analysis was carried out using inductive thematic analysis, accompanied by triangulation of sources and techniques to increase the validity of the findings. The results of the study show that the paradigm change in character education is no longer understood as teaching normative values alone, but as a contextual learning process that is integrated into school culture and educational management practices, thus contributing significantly to strengthening students' national identity. The contribution of this research lies in the enrichment of theoretical and practical perspectives on character education, particularly in demonstrating the importance of paradigm transformation and systemic integration of character education in the formation of national identity in secondary schools.

This study aims to analyse the paradigm change of character education in shaping national identity in secondary schools, focusing on the role of education management in the implementation of the character curriculum. This study uses a qualitative research design with the unit of analysis being a high school that applies a character curriculum. The data sources consist of principals, teachers, and students, which are collected through in-depth interviews, observations, and documentation. The data analysis technique uses a thematic approach to identify patterns in the implementation of character education and its influence on the formation of national identity. The findings of the study show that education management has a key role in ensuring the effective implementation of the character curriculum, which has an impact on improving students' understanding of national values. The contribution of this research is to provide insight into the importance of the role of education management in supporting the character curriculum to form a strong national identity among students.

This study aims to analyze the strategy of using artificial intelligence using ChatGPT to improve the efficiency of education management in the era of technological transformation. This research uses qualitative methods, especially using a case study approach that focuses on educational institutions that have integrated artificial intelligence technology. Data was collected through comprehensive interviews with relevant stakeholders, observations related to technology implementation, and analysis of documentation related to managerial policies and practices. Techniques for data analysis are carried out thematically to distinguish patterns in innovative strategies in digital education. The findings show that the application of artificial intelligence through ChatGPT significantly improves management efficiency by automating administrative tasks, facilitating data-driven decision-making, and encouraging increased adaptive interaction in learning environments. This research offers valuable insights for education administrators in formulating innovation strategies based on artificial intelligence to accelerate technological transformation in the education sector.

This study aims to analyze the role of school-based management in the integration of educational technology with ChatGPT to support instructional strategies in language learning for junior high school students. This study uses a qualitative approach with a case study method, where data is collected through in-depth interviews with principals, teachers, and students, as well as observation of learning activities and analysis of school policy documents. The research subjects were selected purposively to obtain relevant information regarding the implementation of technology-based instructional strategies. Data analysis was carried out by data reduction techniques, data presentation, and conclusion drawing to identify patterns in school management that support or hinder the integration of technology in language learning. The results of the study show that the success of technology integration in language learning depends on systematic school management policies, teacher readiness, and infrastructure support. This research contributes to providing insight for schools in designing more effective technology-based policies to improve the quality of language learning at the junior high school level.

This study aims to analyze the implementation of data-based management in improving the effectiveness of AI-assisted learning in Senior High School. The unit of analysis in this study is a school that implements a data-based management system in AI-assisted learning. The research design used is a qualitative study with a case study approach. The research data sources consist of school principals, teachers, and students involved in the implementation of AI-assisted learning. Data collection techniques include in-depth interviews, participatory observation, and analysis of school documents. The data obtained was analyzed using thematic analysis techniques to identify patterns and relationships between concepts. Key findings show that the implementation of data-driven management can improve learning personalization, optimization of teaching strategies, and the effectiveness of the use of AI in the learning process. The main contribution of this research is to provide empirical insights into the role of data-driven management in supporting AI-assisted learning innovations at the secondary education level.

This study aims to analyze the role of economic education in improving the sustainable welfare of MSME actors in East Jakarta. The method used is a qualitative approach with a case study design, which involves in-depth interviews and participatory observation of MSME actors in the East Jakarta area. The data obtained were then analyzed with thematic analysis techniques to identify factors that support economic empowerment through economic education. This study found that economic education plays an important role in strengthening entrepreneurial capacity and improving the welfare of MSME actors through a better understanding of business management and sustainability strategies. The contribution of this research provides insight into the importance of economic education in empowering MSME actors to create sustainable welfare in urban areas.