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Hyper-Automation, AI and Business Processes [Kõva köide]

Edited by (SGH Warsaw School of Economics, Poland.), Edited by , Edited by
  • Formaat: Hardback, 192 pages, kõrgus x laius: 234x156 mm, 12 Tables, black and white; 13 Line drawings, black and white; 13 Illustrations, black and white
  • Sari: Routledge Studies in Innovation, Organizations and Technology
  • Ilmumisaeg: 08-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041130392
  • ISBN-13: 9781041130390
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  • Formaat: Hardback, 192 pages, kõrgus x laius: 234x156 mm, 12 Tables, black and white; 13 Line drawings, black and white; 13 Illustrations, black and white
  • Sari: Routledge Studies in Innovation, Organizations and Technology
  • Ilmumisaeg: 08-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041130392
  • ISBN-13: 9781041130390

This book offers readers a comprehensive understanding of how hyper-automation and AI are revolutionising business processes. Each chapter delves into a specific domain or challenge, moving from strategic concepts to practical applications, offering a balanced perspective that is both forward-looking and grounded in current realities.



In the age of digital disruption, companies worldwide are embracing hyper-automation and artificial intelligence to transform their operations and gain a competitive edge. Effective implementation of these technologies can lead to precise decision-making, service personalization, process optimisation, and product innovation. However, success in this area demands a well-crafted strategy, a shift in organisational culture, and continuous development of digital skills.

This book offers readers a comprehensive understanding of how hyper-automation and AI are revolutionising business processes. Through insightful analysis and practical frameworks, this edited collection explores how technologies can enable end-to-end digital transformation in human resources, marketing, product quality control, risk control, due diligence, and accounting. Each chapter rigorously delves into a specific domain or challenge, moving from strategic concepts to practical applications and considerations, offering a balanced perspective that is both forward-looking and grounded in current realities.

This book will appeal to researchers and academics from a range of fields, including technology and innovation management, artificial intelligence, strategic management, and operations management.

List of figures List of tables Contributors Preface 1 From technology to
strategy: The Role of Hyper-Automation and AI in End-to-End Digital
Transformation 2 Algorithmic Authority at Work: The Legal Landscape of
AI-Driven Systems for Managing and Controlling the Workforce and Work
Processes 3 Empowering Marketing with AI and Hyper-Automation 4 Can We Do
Better Next Time? AI-Powered, Automated Deal Sourcing, Due Diligence,
Valuation and Post-Merger Integration for Enhancing M&A Success 5 Will
Superhuman Manager Appear Soon? Expectations and Constraints 6 Towards Risk
Management Framework for AI-based Digital Transformation 7 Competencies in
LCNC Programming Essential for Effective Hyper-automation Support 8 Business
Process Automation in Micro-Enterprises: Framework for Exploring the
Intention and Usage 9 Determinants of Big Data implementation in accounting
after the COVID pandemic in Poland 10 The Trust Equation: A Multi-Stakeholder
Approach to Responsible AI in Healthcare 11 AI-based Product Quality Risk
Management: Case Study in a Food Industry 12 Less Determinism, More
Probabilism: Reframing Economics and Management Science
Andrzej Sobczak is Associate professor at SGH Warsaw School of Economics, Poland.

Tymoteusz Doligalski is Associate professor at SGH Warsaw School of Economics, Poland.

Micha Goliski is Associate professor at SGH Warsaw School of Economics, Poland.