Marlena Grabowska – författare

Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.

The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how:

This book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition. It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.

Since the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.

The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how:

This book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition. It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.

In a turbulent environment, companies face disruptive events and must build organisational resilience in order to thrive. This unique book offers new, cutting-edge research on how trust can build and develop resilience. The authors combine theoretical and empirical perspectives on the two issues of trust and organisational resilience in an environment that is difficult to predict. The authors firstly discuss the challenges the turbulent environment poses before exploring the influence of trust and providing practical case studies on topics such as brand trust, dynamic capabilities and business models. Examples are drawn from high-growth enterprises demonstrating first-hand how organisations that develop trust have survived turbulent conditions. This novel book is the first to combine the two disciplines of trust and resilience and will be a valuable reference for researchers and upper level students of strategic management and crisis management in particular.

In a turbulent environment, companies face disruptive events and must build organisational resilience in order to thrive. This unique book offers new, cutting-edge research on how trust can build and develop resilience. The authors combine theoretical and empirical perspectives on the two issues of trust and organisational resilience in an environment that is difficult to predict. The authors firstly discuss the challenges the turbulent environment poses before exploring the influence of trust and providing practical case studies on topics such as brand trust, dynamic capabilities and business models. Examples are drawn from high-growth enterprises demonstrating first-hand how organisations that develop trust have survived turbulent conditions. This novel book is the first to combine the two disciplines of trust and resilience and will be a valuable reference for researchers and upper level students of strategic management and crisis management in particular.

This innovative research monograph explores the nuanced relationship between artificial intelligence, trust dynamics, and value creation in modern organizations.

Drawing on rich theoretical foundations and careful empirical analysis, the authors survey how AI technologies are reshaping our understanding of trust and value creation in organizational settings, offering fresh perspectives on these evolving phenomena. This book makes a significant contribution to management science through its thoughtfully structured approach. The authors first develop a sophisticated theoretical framework examining AI’s influence on management practices and trust mechanisms, then present compelling empirical evidence on trust-based value creation. Their findings illuminate the subtle interplay between human trust, AI-enabled systems, and value creation processes in contemporary business models, supported by robust qualitative and quantitative research.

This scholarly work speaks to academics, researchers, and doctoral candidates in management science, information systems, and organizational behaviour. It holds particular relevance for those studying organizational transformation, trust dynamics, and the evolution of AI-influenced business models. The book’s theoretical depth and empirical insights also make it an invaluable resource for postgraduate students specializing in technology management and organizational studies who seek to understand these emerging organizational dynamics.

This innovative research monograph explores the nuanced relationship between artificial intelligence, trust dynamics, and value creation in modern organizations.

Drawing on rich theoretical foundations and careful empirical analysis, the authors survey how AI technologies are reshaping our understanding of trust and value creation in organizational settings, offering fresh perspectives on these evolving phenomena. This book makes a significant contribution to management science through its thoughtfully structured approach. The authors first develop a sophisticated theoretical framework examining AI’s influence on management practices and trust mechanisms, then present compelling empirical evidence on trust-based value creation. Their findings illuminate the subtle interplay between human trust, AI-enabled systems, and value creation processes in contemporary business models, supported by robust qualitative and quantitative research.

This scholarly work speaks to academics, researchers, and doctoral candidates in management science, information systems, and organizational behaviour. It holds particular relevance for those studying organizational transformation, trust dynamics, and the evolution of AI-influenced business models. The book’s theoretical depth and empirical insights also make it an invaluable resource for postgraduate students specializing in technology management and organizational studies who seek to understand these emerging organizational dynamics.