Hyper-Automation, AI and Business Processes

Nyhet

Inbunden, Engelska, 2026

AvAndrzej Sobczak,Tymoteusz Doligalski,Michał Goliński,Michal Golinski

2 909 kr

Kommande

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.

Produktinformation

Utgivningsdatum2026-06-08
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
SerieRoutledge Studies in Innovation, Organizations and Technology
Antal sidor192
FörlagTaylor & Francis Ltd
ISBN9781041130390

Tillhör följande kategorier

Affärsstrategi inom Ekonomi och ledarskap
Projektledning inom Ekonomi och ledarskap
Organisationsteori inom Ekonomi och ledarskap
Artificiell intelligens inom Data och it

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