INTEGRATION OF AI AND BUSINESS FOR A SUSTAINABLE FUTURE
Keywords:
artificial intelligence, sustainable business practices, environmental impact, machine learning, corporate social responsibility, predictive analyticsAbstract
The integration of artificial intelligence (AI) into business operations presents transformative opportunities for promoting sustainability and efficiency. This paper investigates how AI technologies can be harnessed to advance sustainable business practices. Through a detailed literature review, methodological analysis, and discussion of results, this study aims to offer a robust framework for leveraging AI in pursuit of long-term sustainability goals.
References
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly. Retrieved from McKinsey & Company
Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.
Elkington, J. (1997). Cannibals with Forks: The Triple Bottom Line of 21st Century Business. Capstone Publishing.
Georgakopoulos, D., & Tolk, A. (2016). Big Data and AI in Business Analytics: Applications and Trends. Journal of Business Research, 69(12), 5272-5278.
Gonçalves, R., & Azevedo, A. (2020). Artificial Intelligence in the Context of Business Sustainability: A Review and Future Directions. Journal of Cleaner Production, 275, 123-145.
Kiron, D., & Schrage, M. (2015). The Analytics Mandate: How Business Leaders Are Using Analytics to Achieve Better Results. MIT Sloan Management Review. Retrieved from MIT Sloan
McKinsey & Company. (2020). How Artificial Intelligence Can Drive Sustainable Business Practices. Retrieved from McKinsey & Company
OECD. (2019). Artificial Intelligence in Society. OECD Publishing.
Schwab, K. (2016). The Fourth Industrial Revolution. Crown Publishing Group.
