Application of Artificial Intelligence in Business Decision Making: Insight from Literature Review
نوع المنشور
ورقة/ملخص في مؤتمر منشورة في مجلة علمية محكمة
المؤلفون
النص الكامل
تحميل

This study synthesizes the current state of research on the application of artificial intelligence (AI) in business decision-making contexts. A comprehensive search strategy was employed to identify relevant studies published between 2015 and 2024. Findings reveal a diverse range of AI applications, including predictive analytics, natural language processing, and recommendation systems, across various business functions such as finance, marketing, and supply chain management. Machine learning algorithms, particularly deep learning, were prominently featured in the literature. Reported benefits of AI adoption include improved decision accuracy, efficiency gains, and enhanced strategic insights, while challenges such as data privacy concerns, algorithmic bias, and organizational resistance were also identified. Furthermore, emerging trends such as explainable AI and human-AI collaboration present opportunities for advancing the field. This review contributes to a comprehensive understanding of the landscape of AI in business decision-making and offers insights for researchers, practitioners, and policymakers seeking to harness the potential of AI in driving organizational success.

المجلة
العنوان
Achieving Sustainable Business Through AI, Technology Education and Computer Science
الناشر
Springer Nature Switzerland
بلد الناشر
سويسرا
Indexing
Scopus
معامل التأثير
None
نوع المنشور
إلكتروني فقط
المجلد
3
السنة
2024
الصفحات
125-135