The Role of Corporate Social Responsibility (CSR) in Advancing Sustainable Development Goals
Abstract
Corporate Social Responsibility (CSR) has emerged as a critical mechanism for aligning business practices with sustainable development objectives. This paper explores the role of CSR in advancing the United Nations SDGs, with a focus on environmental, social, and governance (ESG) criteria. Through an analysis of corporate initiatives across various industries, the study identifies best practices for integrating sustainability into business strategies. The findings reveal that CSR can drive innovation, enhance brand reputation, and create shared value for stakeholders. The paper argues that businesses have a pivotal role to play in achieving the SDGs, particularly in areas such as climate action, gender equality, and responsible consumption.
References
Parasa, S. K. (2024). Impact of AI on Employee Experience and Engagement.
Parasa, S. K. (2022). Impact of AI on Employee Onboarding in HR Transformation. Available at SSRN 5102766.
Parasa, S. K. (2022). Use of SAP Intelligent RPA in SAP SuccessFactors. Available at SSRN 5079534.
Parasa, S. K. (2021). Integrating Microsoft Teams with SAP SuccessFactors: Enhancing Workforce Collaboration and Efficiency. Available at SSRN 5102744.
Parasa, S. K. (2024). Impact of AI in recruitment and talent acquisition. Human Resource and Leadership Journal, 9(3), 78-83.
Parasa, S. K. (2024). AI in SAP Fieldglass Contingent Workforce Management. Available at SSRN 5102831.
Parasa, S. K. (2024). Impact of AI in Compensation Management in HR Digital Transformation. International Journal of Science and Research (IJSR), 13(6), 10-21275.
Parasa, S. K. (2024). Building a Slack Chatbot to send SuccessFactors Notifications to Employees Using Workato. Available at SSRN 5102835.
Parasa, S. K., & Jadugala, S. (2023). Enabling Joule in SAP Success Factors: A New Frontier in Employee Experience. International Journal of Science and Research (IJSR), 12(12), 10-21275.
Parasa, S. K. (2023). Comprehensive Understanding of Impact of AI on Payroll Management. Available at SSRN 5102803.
Parasa, S. K. (2023). Equity Grants Tracking and Reporting on Total Compensation in SAP Success Factors. Journal of Artificial Intelligence & Cloud Computing.
Parasa, S. K. (2023). Impact of AI in Employee Wellness and Well-being Programs. European Journal of Advances in Engineering and Technology, 10(5), 98-100.
Vattikuti, M. C. (2023). Comparative Evaluation of AI Models for Predicting Stroke Risk Using Genetic and Lifestyle Factors. International Meridian Journal, 5(5).
Vattikuti, M. C. (2021). Machine Learning for Renewable Energy Optimization Forecasting Accuracy. International Meridian Journal, 3(3).
Vattikuti, M. C. (2019). Navigating Healthcare Data Management in the Cloud: Exploring Limitations and Opportunities. Transactions on Latest Trends in IoT, 2(2).
Vattikuti, M. C. (2023). AI in Physical Therapy: Automating Rehabilitation for Faster Recovery. International Machine learning journal and Computer Engineering, 6(6).
Vattikuti, M. C. (2023). Sentiment Analysis for Crisis Management Using Social Media Data. Transactions on Recent Developments in Health Sectors, 6(6).
Vattikuti, M. C. (2021). AI in Genomics: Unlocking the Future of Precision Medicine. International Numeric Journal of Machine Learning and Robots, 5(5).
Vattikuti, M. C. (2020). AI in Emergency Medicine: Rapid Decision-Making for Critical Care. International Numeric Journal of Machine Learning and Robots, 4(4).
Vattikuti, M. C. (2019). AI in Nutrition and Dietetics: Personalized Approaches to Health and Wellness. International Numeric Journal of Machine Learning and Robots, 3(3).
Vattikuti, M. C. (2019). AI for Rare Cancer Detection: Advancing Early Diagnosis and Treatment. International Machine learning journal and Computer Engineering, 2(2).
Vattikuti, M. C. (2018). AI for Epidemic Prediction and Management: Safeguarding Public Health. International Numeric Journal of Machine Learning and Robots, 2(2).
Vattikuti, M. C. (2018). AI in Healthcare Supply Chain Management: Ensuring Resilience and Efficiency. International Machine learning journal and Computer Engineering, 1(1).
Vattikuti, M. C. (2017). AI in Radiology: Enhancing Diagnostic Accuracy and Workflow Efficiency. International Numeric Journal of Machine Learning and Robots, 1(1).
Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.
DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
DEEKSHITH, A. (2015). Exploring the Foundations, Applications, and Future Prospects of Artificial Intelligence. International Journal of Sustainable Development in computer Science Engineering, 1(1).
DEEKSHITH, A. (2014). Neural Networks and Fuzzy Systems: A Synergistic Approach. Transactions on Latest Trends in Health Sector, 6(6).
