Integrating Sustainable Leadership Practices in Business Education: A Case Study Approach

Dr. Evelyn Harrison

Abstract


This research paper explores the imperative of integrating sustainable leadership practices into business education through a comprehensive case study approach. With a growing emphasis on corporate social responsibility and ethical leadership, the study investigates successful implementations of sustainable leadership principles within various business education programs. Through a detailed examination of case studies from diverse academic institutions, the paper aims to identify key strategies, challenges, and outcomes associated with the incorporation of sustainable leadership into curricula. The findings offer valuable insights for educators, administrators, and policymakers seeking to enhance the relevance and impact of business education in fostering the next generation of socially responsible leaders. The study contributes to the ongoing discourse on the intersection of sustainability and leadership development, providing a practical framework for integrating sustainable leadership practices into the fabric of business education.

   

References


Thummisetti, B. S. P., & Atluri, H. (2024). Advancing Healthcare Informatics for Empowering Privacy and Security through Federated Learning Paradigms. International Journal of Sustainable Development in Computing Science, 1(1), 1-16.

Atluri, H., & Thummisetti, B. S. P. (2023). Optimizing Revenue Cycle Management in Healthcare: A Comprehensive Analysis of the Charge Navigator System. International Numeric Journal of Machine Learning and Robots, 7(7), 1-13.

Whig, P., Kouser, S., Bhatia, A. B., & Nadikattu, R. R. (2024). Prediction of breast cancer diagnosis using random forest classifier. In Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images (pp. 55-73). Academic Press.

Whig, P., Kouser, S., Bhatia, A. B., & Nadikattu, R. R. (2024). Prediction of breast cancer diagnosis using random forest classifier. In Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images (pp. 55-73). Academic Press.

Whig, P., Kouser, S., Bhatia, A. B., Nadikattu, R. R., & Alkali, Y. J. (2023). Leveraging Meta-Heuristics in Improving Health Care Delivery: A Comprehensive Overview. Nature-Inspired Methods for Smart Healthcare Systems and Medical Data, 149-168.


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