DISCUSSION
Drawing from the various academic papers and real-world applications,
this section paints a comprehensive picture of AI’s evolving role in
business strategy. It underscores the transformative potential, outlines
the implications for modern organizations, and provides actionable
recommendations for companies on their AI journey.
Synthesis of Key Findings
- Historical Trajectory of AI: AI has shifted decision-making
from human-centric to AI-aided paradigms, providing proactive and
accurate insights (Brynjolfsson & McAfee, 2014) [5]; (Agrawal,
Gans, & Goldfarb, 2018) [1].
- AI-Driven Business Strategy Models: These include automating
processes, analyzing data for insights, and enhancing
customer/employee engagement (Davenport & Ronanki, 2018) [11].
- AI’s Influence Across Sectors: AI has transformed various
sectors, such as healthcare, e-commerce, manufacturing, and finance
(Marr, 2016) [21]; (Wirtz, Weyerer, & Geyer, 2019) [40].
- Ethical Challenges: AI integration comes with ethical
concerns like algorithmic biases (Buolamwini & Gebru, 2018) [7]
and ethical dilemmas (Rahwan et al., 2019) [26].
Implications for Modern Strategic
Management
- AI redefines operational, competitive, and value delivery aspects in
organizations. Real-time AI analytics supplement traditional
decision-making.
- Ethical considerations and regulatory complexities are challenges that
leaders must address.
- AI’s transformative nature calls for reimagined organizational
structures (Makridakis, 2017) [20], requiring strategic agility,
technological proficiency, and ethical commitment.
Recommendations for Organizations Venturing into AI-Driven
Strategy
- Ethical Vigilance: Adopting an ethics-first approach is
crucial, with practices like regular audits and transparent
algorithms. Google’s ”AI Principles” can serve as a guide (Russell,
Dewey, & Tegmark, 2015) [28].
- Continuous Learning: Organizations should foster a culture of
ongoing learning, encompassing both technological skills and awareness
of AI’s broader impacts.
- Strategic Integration: AI should be an integral part of
organizational strategy, necessitating a reevaluation of goals,
processes, and stakeholder interactions (Davenport & Ronanki, 2018)
[11].
- Collaboration & Partnerships: Engaging in industry
collaborations, such as the Partnership on AI, is beneficial for
shared progress and best practices.
- Regulatory Adherence & Advocacy: Active engagement with
regulatory bodies is essential for compliance and policy advocacy.
TABLE 7: DISCUSSION ON AI IN BUSINESS STRATEGY