Home Business & Economics Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey
Chapter
Licensed
Unlicensed Requires Authentication

Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey

  • Hilmi Yüksel
Become an author with De Gruyter Brill
Explore this Subject How to publish with us
Artificial Intelligence Enabled Management
This chapter is in the book Artificial Intelligence Enabled Management

Abstract

There are many opportunities for the application of artificial intelligence in various areas of production processes and production decisions, including product design, production system design, production planning, quality control, maintenance planning, and supply chain management. Despite the benefits and opportunities that artificial intelligence applications provide to companies, the rate of adoption of artificial intelligence applications in production processes and production decisions of companies is not at the desired level due to financial, organizational, and technical factors. This research aims to analyze the levels of artificial intelligence applications in production processes and production decisions of companies in Turkey. Within the scope of the research, the challenges that companies face in artificial intelligence applications in production processes and the highest potential applications of artificial intelligence in production processes and production decisions were analyzed. How company size, R&D budget designation, and Industry 4.0 level of the company affect artificial intelligence applications in production processes and production decisions have also been analyzed. Questionnaire forms were sent to approximately 500 companies, and survey forms were returned from 74 companies.

Abstract

There are many opportunities for the application of artificial intelligence in various areas of production processes and production decisions, including product design, production system design, production planning, quality control, maintenance planning, and supply chain management. Despite the benefits and opportunities that artificial intelligence applications provide to companies, the rate of adoption of artificial intelligence applications in production processes and production decisions of companies is not at the desired level due to financial, organizational, and technical factors. This research aims to analyze the levels of artificial intelligence applications in production processes and production decisions of companies in Turkey. Within the scope of the research, the challenges that companies face in artificial intelligence applications in production processes and the highest potential applications of artificial intelligence in production processes and production decisions were analyzed. How company size, R&D budget designation, and Industry 4.0 level of the company affect artificial intelligence applications in production processes and production decisions have also been analyzed. Questionnaire forms were sent to approximately 500 companies, and survey forms were returned from 74 companies.

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
https://doi.org/10.1515/9783111172408-011

Chapters in this book

  1. Frontmatter I
  2. Preface V
  3. Acknowledgments VII
  4. Contents IX
  5. Part I: Introduction to Data Enabled Management
  6. Chapter 1 What Does Artificial Intelligence–Powered ChatGPT Bring to Academia? A Review 1
  7. Chapter 2 Education Policies Through Data Driven Decision Making: Accelerating Inclusive Education for People with Disabilities 15
  8. Chapter 3 The Role of Artificial Intelligence in the Emerging Digital Economy Era 33
  9. Chapter 4 A Review of Machine Learning Methods for Diagnosis and Classification of Thyroid Disease 51
  10. Chapter 5 A Question and Answering System Using Natural Language Processing and Deep Learning 65
  11. Part II: Role of AI and Big Data in Management Functions
  12. Chapter 6 The Reinvention of HRM Practices Through Artificial Intelligence: Opportunities and Challenges in the Digital World of Work 87
  13. Chapter 7 Challenges and Artificial Intelligence–Centered Defensive Strategies for Authentication in Online Banking 105
  14. Chapter 8 Catalyzing Human Potential: The Crucial Role of AI in Modern HR Management 119
  15. Chapter 9 Exploring How Artificial Intelligence is Changing the HRM Landscape: Refuting the Fiction with Reality! 131
  16. Chapter 10 Artificial Intelligence in HR: Employee Engagement Using Chatbots 147
  17. Part III: Application of AI in Different Sectors
  18. Chapter 11 An Empirical Analysis of Artificial Intelligence Applications of Manufacturing Companies in Turkey 165
  19. Chapter 12 A Comprehensive View of Artificial Intelligence (AI)–Based Technologies for Sustainable Development Goals (SDGs) 183
  20. Chapter 13 Leveraging Artificial Intelligence for Enhanced Risk Management in Banking: A Systematic Literature Review 197
  21. Chapter 14 Exploring the Influence of Artificial Intelligence on the Management of Hospitality and Tourism Sectors: A Bibliometric Overview 215
  22. Chapter 15 Artificial Intelligence in Healthcare Sector in India: Application, Challenges and a Way Forward 233
  23. Chapter 16 Application of Artificial Intelligence and Machine-Learning Algorithms for Forecasting Risk: The Case of the Indian Stock Market 249
  24. List of Figures 263
  25. List of Tables 265
  26. About the Editors 267
  27. Index 269
Sign up now to receive a 20% welcome discount
Institutional Access
How does access work?
Have an idea on how to improve our website?
Please write us.
© 2025 De Gruyter Brill
Downloaded on 14.10.2025 from https://www.degruyterbrill.com/document/doi/10.1515/9783111172408-011/html?lang=en
Scroll to top button