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Exploring AI in business decision-making

Author

Listed:
  • Blendi Shima
  • Erjona Deshati
  • Jaroslav Kollmann

Abstract

Purpose: The integration of artificial intelligence (AI) into business decision-making processes is a transformative force across industries. This study rigorously analyses recent research to understand the multifaceted nature of AI-enabled decision-making, focusing on ethical considerations, human involvement, AI's impact on business, uncertainty management, AI-human synergy, and methodological improvements. Design/Methodology/Approach: A systematic literature review was conducted with clear inclusion and exclusion criteria. The search strategy covered various academic databases, and the selected papers underwent rigorous screening. Data extraction and analysis were performed to identify common themes and insights. Findings: The study reveals key insights into AI-enabled business decision-making. The ethical complexity of AI integration, necessitating transparency, privacy, and robust frameworks is emphasized. AI goes beyond superficial impact, transforming organizations across sectors. Effective uncertainty management and sustainability strategies are crucial. Achieving harmony between AI and human involvement is essential, fostering a comfortable and trusting environment Originality/Value: This study provides a comprehensive analysis of the multifaceted nature of AI in decision-making, highlighting the importance of ethics, strategic alignment, adaptability, emotional intelligence, and robust research practices.

Suggested Citation

  • Blendi Shima & Erjona Deshati & Jaroslav Kollmann, 2023. "Exploring AI in business decision-making," Littera Scripta, VSTE, vol. 16(2), December.
    • Handle: RePEc:rsg:littra:2023-010
    DOI: 10.36708/LS.2023.I02.003
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