Smart Technology Trends in Industrial and Business Management 1st edition by Dagmar Cagáňová, Michal Balog, Lucia Knapčíková, Jakub Soviar, Serkan Mezarcıöz ISBN 3319769979 978-3319769974

Smart Technology  Trends in Industrial  and Business  Management 1st edition by Dagmar Cagáňová, Michal Balog, Lucia Knapčíková, Jakub Soviar, Serkan Mezarcıöz  – Ebook PDF Instant Download/Delivery.  3319769979,   978-3319769974
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Product details:

ISBN 10:  3319769979
ISBN 13:  978-3319769974
Author: Dagmar Cagáňová, Michal Balog, Lucia Knapčíková, Jakub Soviar, Serkan Mezarcıöz 

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. 

• Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors;
  
• Presents topics relating to smart cities such as manufacturing, business, and transportation;
  
• Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference – Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).

Smart Technology  Trends in Industrial  and Business  Management 1st Table of contents:

• Introduction: The Role of Smart Technologies in Industrial and Business Management

  • Overview of smart technologies and their evolution
  • The significance of digital transformation in industries
  • A roadmap of the book’s objectives and key topics

• Chapter 1: Understanding Smart Technologies

  • Defining smart technologies: AI, IoT, blockchain, robotics, and more
  • Key characteristics and functionalities of smart technologies
  • The interplay between automation and human workers
  • The impact of smart technologies on productivity and efficiency

• Chapter 2: Artificial Intelligence and Machine Learning in Business

  • The role of AI and machine learning in decision-making
  • AI applications in business management: predictive analytics, customer insights, and process optimization
  • Case studies of AI implementation in various industries (manufacturing, finance, retail, etc.)
  • Ethical considerations and challenges in AI adoption

• Chapter 3: The Internet of Things (IoT) in Industrial Management

  • How IoT is revolutionizing industries through connected devices
  • IoT applications in supply chain management, manufacturing, and asset management
  • Real-time data collection and analysis for better decision-making
  • Security and privacy concerns in IoT-enabled systems

• Chapter 4: Blockchain Technology and its Impact on Business Management

  • An introduction to blockchain technology and its core principles
  • Blockchain applications in supply chain, finance, and contract management
  • Enhancing transparency, security, and efficiency with blockchain
  • Challenges in adopting blockchain at the enterprise level

• Chapter 5: Automation and Robotics in Industrial Operations

  • The role of automation and robotics in streamlining production processes
  • Industrial robots in manufacturing: applications and advancements
  • Collaborative robots (cobots) and human-robot interaction
  • Challenges in implementing automation and managing workforce displacement

• Chapter 6: Big Data Analytics and Smart Decision Making

  • The importance of big data in modern business management
  • Tools and techniques for analyzing large datasets
  • How big data is influencing strategic decision-making and operational efficiency
  • Integrating big data with AI for smarter business insights

• Chapter 7: Cloud Computing and Smart Business Management

  • The role of cloud computing in enabling smart business models
  • Cloud-based solutions for business operations: CRM, ERP, HRMS, and more
  • Benefits and challenges of cloud adoption in industrial and business management
  • Future trends in cloud technology for businesses

• Chapter 8: The Role of 5G Technology in Industry 4.0

  • Understanding the potential of 5G for industrial applications
  • Enhancing IoT, automation, and data transfer with 5G connectivity
  • Case studies of 5G-enabled smart factories and connected industries
  • The future of 5G in reshaping business and industrial management

• Chapter 9: Cybersecurity and Data Protection in the Era of Smart Technologies

  • Cybersecurity risks associated with smart technology adoption
  • Key strategies for protecting data and ensuring security in IoT, AI, and cloud systems
  • The role of blockchain in enhancing cybersecurity
  • Compliance with privacy regulations in a digitally connected world

• Chapter 10: Business Process Optimization and Smart Technology Integration

  • How businesses can optimize processes using smart technologies
  • Implementing automation and AI-driven solutions for efficiency gains
  • Case studies in operational excellence through smart technology integration
  • Overcoming organizational barriers to smart technology adoption

• Chapter 11: Smart Supply Chain and Logistics Management

  • The transformation of supply chains through smart technologies
  • IoT, AI, and blockchain for inventory management, tracking, and logistics
  • Real-time data and predictive analytics in supply chain optimization
  • Building resilient and agile supply chains using smart technology

• Chapter 12: Ethical Implications and the Future of Work

  • Addressing the ethical concerns of automation and AI in business management
  • The impact of smart technologies on workforce skills, employment, and labor markets
  • Preparing for the future of work: reskilling and upskilling in the digital era
  • Balancing technological advancements with social responsibility

• Chapter 13: Future Trends and Innovations in Smart Technologies for Industry

  • Emerging trends in smart technology for business and industry management
  • The role of quantum computing, edge computing, and AI in shaping the future
  • The next generation of IoT, robotics, and automation technologies
  • Strategic foresight and preparing for the future of smart industries

• Conclusion: Building a Smart, Resilient, and Future-Proof Business

  • Key takeaways from the integration of smart technologies in business management
  • Building a roadmap for digital transformation
  • Aligning smart technology adoption with business goals and values
  • The long-term impact of smart technologies on global industries

• References

• Index

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