AI, Analytics and Strategic Decision-Making is an insightful exploration into the transformative power of artificial intelligence and advanced analytics in business and policy contexts. This volume provides a unique blend of theoretical knowledge and practical applications, showcasing how AI and analytics are reshaping decision-making processes across multiple domains.
From predicting high-growth firms using Random Forests to leveraging Large Language Models for process mining, this book offers an extensive look at the latest innovations in AI and their strategic implications. It explores diverse topics, including the role of knowledge management in Industry 4.0, AI-powered decision-making tools for individuals, and public policy-making through Internet Public Opinion Analysis. Each chapter provides a nuanced perspective on how AI and analytics tools—ranging from Social Network Analysis to agent-based modeling—can tackle real-world challenges, such as climate change, resource allocation, and productivity enhancement.
AI, Analytics and Strategic Decision-Making will inspire entrepreneurs, policymakers, academics, and business strategists to think critically about the power of data-driven insights and AI technologies. This comprehensive resource dives into how innovative tools can foster informed decision-making, drive efficiency, and pave the way for strategic success in an increasingly complex world.
This volume is an insightful exploration into the transformative power of artificial intelligence and advanced analytics in business and policy contexts. It will inspire entrepreneurs, policymakers, academics, and business strategists to think critically about the power of data-driven insights and AI technologies.
Artificial Intelligence, Analytics, and Strategic Decision Making:
Concepts, Practice, and Future Research Directions Part I - Artificial
Intelligence (AI)
1. Searching for Gazelles in the Forest: The Potential of
Random Forests to Identify High-Growth Firms
2. Utilization of LLM for
Process Mining Analysis of Event Log of Travel Expenses at the Operational
Level
3. Components of the Knowledge Management Method in Industry 4.0. Does
a ChatGPT Conversation Provide Answers to New Problems and Challenges?
4.
AI-Powered Decision Support Mobile Application for Individuals: An Evaluation
of Publicly Shared Decisions with Decision Mentor Part II - Advanced
Analytics
5. Relational Analytics and Social Network Analysis: Investigating
Information Flow in HRM Contexts
6. Original Software Support for Data
Envelopment Analysis Models
7. A Goal-Oriented Approach Analytics to
Strategic Business Planning
8. Utilizing AI and Analytics for Public Opinion
Analysis in Taiwans Government Policy-Making Part III - Strategic
Decision-Making
9. Aligning Scholarship Identities: Strategic Decision-Making
with the Triple Parallax Approach
10. Computational Representation of Social
Complexity for Decision Making: The Case of Climate Change, Migration, and
Social Conflict in the Central Andes of Peru
11. Site Suitability Model for
Location of Coffee Farms Using Spatial Multi-Criteria Decision Analysis
12.
Enhancing Circular Supply Chain Implementation: Multi-Criteria Analysis with
the Analytic Hierarchy Process
Anna Ujwary-Gil is Professor at the Institute of Economics, Polish Academy of Sciences in Warsaw, Poland.
Anna Florek-Paszkowska is Professor at the CENTRUM Catolica Graduate Business School, PUCP in Lima, Peru.
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