STRATEGIC ALLIANCE: NAVIGATING CHALLENGES IN HUMAN-AI COLLABORATION FOR EFFECTIVE BUSINESS DECISION-MAKING

Registration ID: IJNRD_213301

Published ID: IJNRD2402012

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Prof. Lawrence Lowell

Human-AI collaboration, strategic alliance, business decision-making, challenges, opportunities, explainable AI, trust-building, organizational culture.

This abstract examines the strategic alliance between humans and artificial intelligence (AI) in business decision-making, focusing on the challenges and opportunities inherent in their collaboration. The research uses a mixed-methods approach, combining qualitative interviews and quantitative surveys to gather insights from business professionals, AI experts, and decision-makers. The target population for the study is start-up entrepreneurs, investors, and financial institutions. The study sampled 70 respondents, including 50 entrepreneurs, 10 investors, and 10 financial institutions. Qualitative data was collected through in-depth interviews, while quantitative data was obtained through surveys. Data analysis involved thematic coding of qualitative responses and statistical analysis of quantitative data to identify patterns, correlations, and significant factors influencing human-AI collaboration. The discussion section interpreted identified challenges, including explainability, ethical considerations, and the impact on decision-making processes. Strategies to overcome challenges and enhance human-AI collaboration were explored, including trust-building mechanisms, explainable AI interfaces, and the role of organizational culture. The research provides valuable insights into the dynamics of human-AI collaboration and offers practical recommendations for businesses to optimize their decision-making processes. The study emphasizes the significance of addressing challenges in human-AI collaboration for effective business decision-making.

Published Paper   E-Certificate

Prof. Lawrence Lowell (February-2024). STRATEGIC ALLIANCE: NAVIGATING CHALLENGES IN HUMAN-AI COLLABORATION FOR EFFECTIVE BUSINESS DECISION-MAKING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), a87-a94. https://ijnrd.org/papers/IJNRD2402012.pdf

Volume 9 Issue 2, February-2024

Pages : a87-a94

Paper Reg. ID: IJNRD_213301

Published Paper Id: IJNRD2402012

Downloads: 000122256

Research Area: Management

Author Type: Foreign Author

Country: Kumasi, Ashanti Region, Ghana

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402012.pdf

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