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Basavaraju, Chirag (2024) The Role of Artificial Intelligence (AI) in Shaping Sustainable Business Practices and the Evolving Landscape of Management Consulting. Masters thesis, Dublin, National College of Ireland.
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Abstract
This dissertation examines the integration of artificial intelligence (AI) in enhancing sustainable business practices within the realm of management consulting, with a focus on leading firms such as McKinsey, Bain & Company, and Boston Consulting Group (BCG). The research is motivated by the critical need for businesses to adopt innovative technologies that foster environmental sustainability alongside economic profitability.
The study addresses several research questions centered around the efficacy of AI in promoting sustainable practices within management consulting firms, the challenges faced in its implementation, and the strategic advantages it provides. These questions are explored through qualitative methods, primarily semi-structured interviews with key stakeholders and an analysis of secondary data from industry reports and academic literature.
Findings from the research demonstrate that AI significantly contributes to strategic decision-making, enhances operational efficiencies, and supports sustainable business models by providing data-driven insights and enabling more effective resource management. However, the adoption of AI is also met with challenges such as ethical considerations, the need for significant investment in skills development, and the management of stakeholder expectations.
The dissertation contributes to the existing body of knowledge by detailing practical implementations of AI within a critical sector and suggesting frameworks for overcoming the obstacles encountered. Recommendations are provided for firms looking to leverage AI for enhanced sustainability in management consulting practices
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Tan, Eileen UNSPECIFIED |
| Uncontrolled Keywords: | Sustainability; AI; Management Consulting; Ethical Considerations; Strategic Decision-Making; Operational Efficiencies; Skills Development |
| Subjects: | Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HF Commerce > Business Ethics H Social Sciences > Economics > Business G Geography. Anthropology. Recreation > GE Environmental Sciences > Environment |
| Divisions: | School of Business > Master of Science in International Business |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 06 Jun 2025 13:50 |
| Last Modified: | 06 Jun 2025 13:50 |
| URI: | https://norma.ncirl.ie/id/eprint/7787 |
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