AI, Economic Perspectives, and Firm Business Management

AI, Economic Perspectives, and Firm Business Management

Pages: 300
DOI: 10.4018/979-8-3693-7357-6
ISBN13: 9798369373576|ISBN13 Softcover: 9798369373583|EISBN13: 9798369373590
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Description & Coverage
Description:

Artificial Intelligence (AI) has become a transformative influence in the domains of economics and business administration, fundamentally altering the operational strategies and decision-making processes of organizations. The utilization of AI-driven technologies has empowered enterprises to boost their effectiveness, refine procedures, and extract valuable insights from extensive datasets. Within the realm of economics, AI has unveiled novel pathways for research and examination. The utilization of machine learning algorithms possesses the capacity to scrutinize intricate economic data and detect patterns, resulting in more precise forecasts and prognostications. AI models can be harnessed to scrutinize market trends, consumer behavior, and macroeconomic indicators, thereby assisting policymakers, investors, and corporations in making well-informed decisions. Additionally, AI-powered algorithms play a pivotal role in the advancement of automated trading systems and tools for managing financial risks.

In the domain of business administration, AI assumes a critical function in the optimization of operations and the enhancement of productivity. AI algorithms can streamline the management of supply chains, regulate inventory, and predict demand, culminating in cost reductions and heightened customer contentment. Natural language processing (NLP) facilitates AI-driven chatbots and virtual assistants in handling customer queries and offering tailored recommendations, thereby enriching customer service experiences. Furthermore, AI methodologies are leveraged for the analysis of sentiments in social media data, enabling enterprises to comprehend public sentiment and customize their marketing strategies accordingly. Nevertheless, the escalating integration of AI in economics and business management also gives rise to challenges. Ethical dilemmas, privacy issues, and potential biases ingrained in AI algorithms necessitate resolution to ensure equitable and responsible application. Furthermore, the fluid nature of AI necessitates a continuous enhancement of competencies and expertise for professionals in these domains, alongside a conscientious and persistent endeavor towards modernizing the educational curriculum in institutions of higher learning.

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Editor/Author Biographies

Dr. Abdelkader Mohamed Sghaier Derbali is an Assistant Professor in Finance at the Department of Finance and Accounting, Higher Institute of Informatics and Management of Kairouan, Kairouan University, Kairouan, Tunisia and at the Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia. He is one of the Editorial Board Members in the Journal of Energy Markets, International Business Review, Cogent Economic & Finance, International Review of Applied Economics, African Journal of Accounting, Auditing and Finance, and African Journal of Economic and Sustainable Development. His research interests include Risk Management, Systemic risk, International finance, Capital markets and institutions, Banking and market microstructure and Islamic Finance. He has published articles, among others, in Research in International Business and Management, Cogent Business & Management, Cogent Economic & Finance, Journal of Chinese Governance, The Chinese Economy, Journal of Energy Markets, and International Journal of Trade and Global Markets.

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