The aim of the monograph is to present a modern and original approach to the design and implementation of effective and efficient artificial intelligence solutions that ensure the induction of positive climate change. The monograph presents the application of digital business models and strategies combining solutions for digital and climate transformation. Digital platform solutions based on algorithms changing the functioning of technical organizations will be presented. Applied technological management, supported by elements of automation and robotics, will shape the emergence of new climate services. The mechanisms for implementing cybersecurity and safety principles described herein will serve to reduce climate hazards.
The aim of the monograph is to present a modern and original approach to the design and implementation of effective and efficient artificial intelligence solutions that ensure the induction of positive climate change.
Preface. List of Figures. List of Tables. The Main Objective of the
Scientific Discussion. Artificial Intelligence as a Research Object in
Management and Climate Sciences and as a Practical Tool for Modern Business
Solutions. Systematic Literature ReviewDescription of the Landscape of AI
Research. Artificial IntelligenceKey Meanings and Interpretations in the
Context of Climate Change. Artificial Intelligence and an Overview of
Selected Solutions for Creating Positive Climate Changes. Climate Hazard
Management Mechanisms using Artificial Intelligence Solutions.
Contextualization of the Place and Role of Artificial Intelligence in Climate
Hazard Management. The Authors Original Concept for the Development of the
Evolutionary Cycle of Climate Business ModelsFrom Sustainable Business
Models to AI Climate-Changing Business Models. The Authors Original Concept
of Climate Hazard Management by Means of Artificial Intelligence. The
Authors Original Concept of Developing AI Mechanisms and Solutions in
Climate Hazard Management. The Authors Original Spiral of Knowledge on the
use of Artificial Intelligence Mechanisms to Solve Problems in the Field of
Climate Hazards and Climate Change. Discussion of Research Results
Conclusions for Theory, Practice, Future Research Directions and Limitations
of the Research Process, Theoretical Implications, Practical Implications,
Potentially Interesting Future Research Directions, Research Limitations.
Recommendations and Strategic Axioms for the Development of Artificial
Intelligence in Climate Hazard Management. Conclusion. Index.
Adam Jaboski is a Full Professor at WSB MERITO University in Poznan, Poland. He is also Vice-President of the Board of the reputable management consulting company OTTIMA plus Sp. z o.o. (Ltd.), Katowice, and President of the Southern Railway Cluster Association, Katowice. He conducts extensive research on the design and implementation of business models that positively impact the climate, considering the principles of Digital and Climate Transformation supported by Artificial Intelligence solutions. Adam Jaboskis scientific interests focus also on climate responsibility concept.
Marek Jaboski is an Associate Professor at WSB MERITO University in Poznan, Poland. He is also President of the Board of the reputable consulting company OTTIMA plus Sp. z o.o. (Ltd.), Katowice, and Vice-president of the Southern Railway Cluster Association, Katowice. Marek Jaboskis scientific interests focus on the business models concept, as well as climate-changing aspects and Digital and Climate Transformation supported by Artificial Intelligence solutions. He conducts extensive research on socio-technical systems with using evidence-based management concept.
