- ホーム
- > 洋書
- > 英文書
- > Business / Economics
Full Description
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.
Contents
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
