Journals / Verimlilik Dergisi / 2026 / Cilt: 59 Sayı: 3

Adoption of Industry 4.0 in Developing Countries: Scale Development and Empirical Validation

Endüstri 4.0’ın Gelişmekte Olan Ülkelerde Benimsenmesi: Ölçek Geliştirme ve Ampirik Doğrulama

Üstün Özen(ATATÜRK ÜNİVERSİTESİ)0000-0002-7595-4306
Derya Fındık(ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ)0000-0002-3002-4391
Pages
683–700
Publication Date
2025-07-21
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Given that the literature on scale development is largely confined to developed nations or specific sectors, this research fills a significant gap within the context of developing countries.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: The primary aim of this study is to develop a valid and reliable scale for measuring the factors influencing the adoption of Industry 4.0 technologies in developing countries.
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Key Findings & Data:By identifying these factors, the study seeks to provide a comprehensive understanding of how developing economies can more effectively manage their transition processes towards Industry 4.0.
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Conclusion & Impact:Given that the literature on scale development is largely confined to developed nations or specific sectors, this research fills a significant gap within the context of developing countries.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Endüstri 4.0 · Gelişmekte Olan Ülkeler · Ölçek Geliştirme

Abstract

Purpose: The primary aim of this study is to develop a valid and reliable scale for measuring the factors influencing the adoption of Industry 4.0 technologies in developing countries. By identifying these factors, the study seeks to provide a comprehensive understanding of how developing economies can more effectively manage their transition processes towards Industry 4.0. Methodology: A systematic scale development process was followed in the study. In the initial phase, scale items were generated based on a comprehensive literature review and expert opinions. Subsequently, preliminary tests and pilot applications were conducted to assess the face validity of the scale. In the final phase, survey data collected from a large sample were analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to evaluate the construct validity properties of the scale. Findings: The analysis revealed that the factors influencing the adoption of Industry 4.0 could be categorized into eight distinct dimensions. The developed scale demonstrated high validity and reliability, and its factor structure was confirmed to be robust. Originality: This study represents one of the first systematically developed scales to measure the factors influencing Industry 4.0 adoption in developing countries. Given that the literature on scale development is largely confined to developed nations or specific sectors, this research fills a significant gap within the context of developing countries.

Özet

Amaç: Bu çalışmanın temel amacı, gelişmekte olan ülkelerde Endüstri 4.0 teknolojilerinin benimsenmesini etkileyen faktörleri ölçmek üzere geçerli ve güvenilir bir ölçek geliştirmektir. Söz konusu faktörlerin tespit edilmesiyle, gelişmekte olan ekonomilerin Endüstri 4.0'a yönelik geçiş süreçlerini daha etkin bir şekilde nasıl yönetebileceklerine dair kapsamlı bir anlayış sunulması hedeflenmektedir. Yöntem: Çalışmada sistematik bir ölçek geliştirme süreci izlenmiştir. İlk aşamada, kapsamlı bir literatür taraması ve uzman görüşleri doğrultusunda ölçek maddeleri oluşturulmuştur. Ardından, ön test ve pilot uygulamalar gerçekleştirilerek ölçeğin görünüş geçerliliği değerlendirilmiştir. Son aşamada, geniş bir katılımcı kitlesine uygulanan anket verileri açımlayıcı faktör analizi (AFA) ve doğrulayıcı faktör analizi (DFA) ile incelenerek ölçeğin yapı geçerliliği özellikleri test edilmiştir. Bulgular: Analizler sonucunda, Endüstri 4.0’ın benimsenmesini etkileyen faktörlerin sekiz farklı boyuta ayrıldığı belirlenmiştir. Geliştirilen ölçeğin geçerlilik ve güvenilirlik değerleri yüksek bulunmuş ve faktör yapısının güçlü olduğu doğrulanmıştır. Özgünlük: Bu çalışma, gelişmekte olan ülkelerde Endüstri 4.0'ın benimsenmesini etkileyen faktörleri ölçen ilk sistematik ölçeklerden biridir. Gelişmiş ülkeler veya belirli sektörlerle sınırlı alan yazın göz önüne alındığında, bu araştırma gelişmekte olan ülkeler bağlamında önemli bir boşluğu doldurmaktadır.

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Cite This Article

Düzgün, S. S., Özen, Ü., Fındık, D. (2025). Adoption of Industry 4.0 in Developing Countries: Scale Development and Empirical Validation. Verimlilik Dergisi, Cilt: 59 Sayı: 3, 683–700. https://doi.org/10.51551/verimlilik.1647544

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References (100)

  1. Atzori, L., Iera, A., Morabito, G. (2017). “Understanding the Internet of Things: Definition, Potentials, and Societal Role of A Fast Evolving Paradigm”, Ad Hoc Networks, 56, 122-140. https://doi.org/10.1016/j.adhoc.2016.12.004
  2. Ávila Bohórquez, J.H. and Gil Herrera, R. de J. (2022). “Proposal and Validation of An Industry 4.0 Maturity Model for SMEs”, Journal of Industrial Engineering and Management, 15(3), 433-454. https://doi.org/10.3926/jiem.3673
  3. Aygün, D. and Satı, Z.E. (2022). “Evaluation of Industry 4.0 Transformation Barriers for SMEs in Turkey”, Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17(1), 239-255. https://doi.org/10.17153/oguiibf.991213
  4. Bag, S., Gupta, S. and Kumar, S. (2021). “Industry 4.0 Adoption and 10R Advance Manufacturing Capabilities for Sustainable Development”, International Journal of Production Economics, 231, 107844. https://doi.org/10.1016/j.ijpe.2020.107844
  5. Bag, S., Wood, L.C., Mangla, S.K. and Luthra, S. (2020). “Procurement 4.0 and Its Implications on Business Process Performance in A Circular Economy”, Resources, Conservation and Recycling, 152, 104502. https://doi.org/10.1016/j.resconrec.2019.104502
  6. Baio Junior, A.A., Carrer, M.J. (2022). “Adoption of Industry 4.0 technologies: an analysis of small and medium-sized companies in the state of São Paulo, Brazil”, Gestão & Produção, 29, e122. https://doi.org/10.1590/1806-9649-2022v29e122
  7. Banger, G. (2017). “Endüstri 4.0 Ekstra”, Dorlion Yayınları, Eskişehir.
  8. Basl, J. (2016). “The Pilot Survey of the Industry 4.0 Principles Penetration in the Selected Czech and Polish Companies”, Journal of Systems Integration, 7(4), 3-8.
  9. Baur, C., and Wee, D. (2015). Manufacturing’s next act. McKinsey & Company. https://www.mckinsey.com/business-functions/operations/our-insights/manufacturings-next-act, (Accessed: 20.01.2025)
  10. Becker, M., Mahr, D. and Odekerken-Schröder, G. (2023). “Customer Comfort During Service Robot Interactions”, Service Business, 17(1), 137-165. https://doi.org/10.1007/s11628-022-00499-4
  11. Belanche, D., Casaló, L.V. and Flavián, C. (2021). “Frontline Robots in Tourism and Hospitality: Service Enhancement or Cost Reduction?”, Electronic Markets, 31(3), 477-492. https://doi.org/10.1007/s12525-020-00432-5
  12. Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H.R. and Young, S.L. (2018). “Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer”, Frontiers in Public Health, 6, 149. https://doi.org/10.3389/fpubh.2018.00149
  13. Bonekamp, L. and Sure, M. (2015). “Consequences of Industry 4.0 on Human Labour and Work Organization”, Journal of Business and Media Psychology, 6(1), 33-40.
  14. Brodny, J. and Tutak, M. (2023). “Assessing the Level of Digital Maturity in the Three Seas Initiative Countries”, Technological Forecasting and Social Change, 190, 122462. https://doi.org/10.1016/j.techfore.2023.122462
  15. Büchi, G., Cugno, M. and Castagnoli, R. (2020). “Smart Factory Performance and Industry 4.0”, Technological Forecasting and Social Change, 150, 119790. https://doi.org/10.1016/j.techfore.2019.119790
  16. Carpenter, S. (2018). “Ten Steps in Scale Development and Reporting: A Guide for Researchers”, Communication Methods and Measures, 12(1), 25-44. https://doi.org/10.1080/19312458.2017.1396583
  17. Cevik Onar, S., Ustundag, A. (2018). “Smart and Connected Product Business Models”, Industry 4.0: Managing The Digital Transformation, Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-319-57870-5_2
  18. Chahal, H., Gupta, M., Lonial, S. (2018). “Operational Flexibility in Hospitals: Scale Development and Validation”, Journal of the Operational Research Society, 56 (10), 3733-3755. https://doi.org/10.1080/00207543.2018.1442941
  19. Churchill, G.A. (1979). “A Paradigm for Developing Better Measures of Marketing Constructs”, Journal of Marketing Research, 16 (1), 64-73.
  20. Comrey, A.L. and Lee, H.B. (1992). “A First Course in Factor Analysis”, Lawrence Erlbaum Associates, Hillsdale, NJ.
  21. Dalenogare, L.S., Benitez, G.B., Ayala, N.F. and Frank, A.G. (2018). “The Expected Contribution of Industry 4.0 Technologies for Industrial Performance”, International Journal of Production Economics, 204, 383-394. https://doi.org/10.1016/j.ijpe.2018.08.019
  22. DeVellis, R.F. (2012). “Scale Development: Theory and Applications”, 3rd Ed. Sage Publications, Thousand Oaks, CA, USA.
  23. DeVellis, R.F. and Thorpe, C.T. (2021). “Scale Development: Theory and Applications”, Sage Publications, Thousand Oaks, CA, USA.
  24. Dey, N., Ashour, A.S., Shi, F., Fong, S.J. and Tavares, J.M.R.S. (2018). “Medical Cyber-Physical Systems: A Survey”, Journal of Medical Systems, 42, 1-13. https://doi.org/10.1007/s10916-018-0921-x
  25. Dhanvijay, M.M. and Patil, S.C. (2019). “Internet of Things: A Survey of Enabling Technologies in Healthcare and Its Applications”, Computer Networks, 153, 113-131. https://doi.org/10.1016/j.comnet.2019.03.006
  26. Donnelly, C., Simmons, G., Armstrong, G. and Fearne, A. (2015). “Digital Loyalty Card ‘Big Data’ and Small Business Marketing: Formal versus Informal or Complementary?”, International Small Business Journal, 33(4), 422-442. https://doi.org/10.1177/0266242613502691
  27. Dopico, M., Gómez, A., De la Fuente, D., García, N., Rosillo, R. and Puche, J. (2016). “A Vision of Industry 4.0 from An Artificial Intelligence Point of View”, Proceedings on the International Conference on Artificial Intelligence (ICAI), 407.
  28. Duman, M.C. and Akdemir, B. (2021). “A Study to Determine the Effects of Industry 4.0 Technology Components on Organizational Performance”, Technological Forecasting and Social Change, 167, 120615. https://doi.org/10.1016/j.techfore.2021.120615
  29. Etikan, I., Musa, S.A. and Alkassim, R.S. (2016). “Comparison of Convenience Sampling and Purposive Sampling”, American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
  30. Field, A. (2013). “Discovering Statistics Using IBM SPSS Statistics”, Sage. Flavián, C. and Casaló, L.V. (2021). “Artificial Intelligence in Services: Current Trends, Benefits and Challenges”, The Service Industries Journal, 41, 853-859. https://doi.org/10.1080/02642069.2021.1989177
  31. Flavián, C., Ibáñez-Sánchez, S. and Orús, C. (2021). “Impacts of Technological Embodiment through Virtual Reality on Potential Guests’ Emotions and Engagement”, Journal of Hospitality Marketing & Management, 30, 1-20. https://doi.org/10.1080/19368623.2020.1770146
  32. Frank, A.G., Dalenogare, L.S. and Ayala, N.F. (2019). “Industry 4.0 Technologies: Implementation Patterns in Manufacturing Companies”, International Journal of Production Economics, 210, 15-26. https://doi.org/10.1016/j.ijpe.2019.01.004
  33. Ganjavi, N. and Fazlollahtabar, H. (2021). “Integrated Sustainable Production Value Measurement Model Based on Lean and Six Sigma in Industry 4.0 Context”, IEEE Transactions on Engineering Management, 70(6), 2320-2333. https://doi.org/10.1109/TEM.2021.3078169
  34. Gholami, H., Lee, J.K.Y., Garza-Reyes, J.A. and Salameh, A.A. (2025). “Green Lean Six Sigma Practices: A Scale Development and Measurement Model from An Engineer’s Perspective”, Journal of Manufacturing Technology Management, 36(1), 179-202. https://doi.org/10.1108/JMTM-12-2023-0555
  35. Ghosh, A.M., Halder, D. and Hossain, S.A. (2016). “Remote health monitoring system through IoT”, 5th International Conference on Informatics, Electronics and Vision (ICIEV). IEEE, 921-926.
  36. Giger, M.L. (2018). “Machine Learning in Medical Imaging”, Journal of the American College of Radiology, 15, 512-520. https://doi.org/10.1038/s41746-022-00592-y
  37. Görçün, Ö.F. (2017). “Dördüncü Sanayi Devrimi Endüstri 4.0”, Beta Yayıncılık, İstanbul.
  38. Grabowska, M. (2018). “Przemysł 4.0 w Unii Europejskiej. Studia Europejskie”, Studies in European Affairs, 3, 257-279.
  39. Greengard, S. (2017). “Internet of Things”, Optimist Yayınları, İstanbul.
  40. Greer, S.A. (1989). “The Logic of Social Inquiry”, Transaction Publishers, Piscataway, NJ, USA.
  41. Guadagnoli, E. and Velicer, W.F. (1988). “Relation of Sample Size to the Stability of Component Patterns”, Psychological Bulletin, 103(2), 265.
  42. Hair, J.F., Black, W.C. and Babin, B.J. (2009). “Multivariate Data Analysis: A Global Perspective”, 7th Ed. Prentice Hall, Upper Saddle River.
  43. Hair, J.F., Black, W.C., Babin, B.J. and Anderson, R.E. (2014). “Multivariate Data Analysis”, Pearson New International Edition, Pearson Education Limited.
  44. Hays, W.L. (1973). “Statistics for the Social Sciences”, 2nd Ed. Holt, Rinehart and Winston, New York, NY, USA.
  45. Hertzog, M.A. (2008). “Considerations in Determining Sample Size for Pilot Studies”, Research in Nursing & Health, 31(2), 180-191. https://doi.org/10.1002/nur.20247
  46. Horváth, D. and Szabó, R.Z. (2019). “Driving Forces and Barriers of Industry 4.0: Do Multinational and Small and Medium-Sized Companies Have Equal Opportunities?”, Technological Forecasting and Social Change, 146, 119-132. https://doi.org/10.1016/j.techfore.2019.05.021
  47. IMF. (2021). “The Future of Emerging Markets”, https://www.imf.org, (Accessed: February 22, 2024). Isaac, S. and Michael, W.B. (1995). “Handbook in Research and Evaluation: A Collection of Principles, Methods, and Strategies Useful in the Planning, Design, and Evaluation of Studies in Education and the Behavioral Sciences”, 3. Ed., EdITS Publishers.
  48. Jamwal, A., Agrawal, R. and Sharma, M. (2023). “Challenges and Opportunities for Manufacturing SMEs in Adopting Industry 4.0 Technologies for Achieving Sustainability: Empirical Evidence from An Emerging Economy”, Operations Management Research, 1-26. https://doi.org/10.1007/s12063-023-00428-2
  49. Johanson, G.A. and Brooks, G.P. (2010). “Initial Scale Development: Sample Size for Pilot Studies”, Educational and Psychological Measurement, 70(3), 394-400. https://doi.org/10.1177/0013164409355692
  50. Jovanovski, D.B., Seykova, D., Boshnyaku, A. and Fischer, D.C. (2019). "The Impact of Industry 4.0 on the Competitiveness", International Scientific Journal ‘Industry 4.0’, 5, 250-255.
  51. Kang, H.S., Lee, J.Y., Choi, S., Kim, H., Park, J.H., Son, J.Y. and Noh, S.D. (2016). “Smart Manufacturing: Past Research, Present Findings, and Future Directions”, International Journal of Precision Engineering and Manufacturing-Green Technology, 3(1), 111-128. https://doi.org/10.1007/s40684-016-0015-5
  52. Kannan, K.S.P. and Garad, A. (2020). “Competencies of Quality Professionals in the Era of Industry 4.0: A Case Study of Electronics Manufacturer from Malaysia”, International Journal of Quality & Reliability Management, 38(3), 839-871. https://doi.org/10.1108/IJQRM-04-2019-0124
  53. Krägeloh, C.U., Bharatharaj, J., Sasthan Kutty, S.K., Nirmala, P.R. and Huang, L. (2019). “Questionnaires to Measure Acceptability of Social Robots: A Critical Review”, Robotics, 8(4), 88. https://doi.org/10.3390/robotics8040088
  54. Lasi, H., Fettke, P., Kemper, H.G., Feld, T. and Hoffmann, M. (2014). “Industrie 4.0”, Wirtschaftsinformatik, 56(4), 261-264.
  55. Lee, J. (2015). “Smart Factory Systems”, Informatik-Spektrum, 38(3), 230-235. https://doi.org/10.1007/s00287-015-0891-z
  56. Leech, N.L., Barrett, K.C. and Morgan, G.A. (2005). “SPSS for Intermediate Statistics: Use and Interpretation”, 2nd Ed., Lawrence Erlbaum Associates.
  57. Leichtmann, B., Hartung, J., Wilhelm, O. and Nitsch, V. (2023). “New Short Scale to Measure Workers’ Attitudes toward the Implementation of Cooperative Robots in Industrial Work Settings: Instrument Development and Exploration of Attitude Structure”, International Journal of Social Robotics, 15(6), 909-930. https://doi.org/10.1007/s12369-023-00996-0
  58. Lu, Y. (2017). “Industry 4.0: A Survey on Technologies, Applications and Open Research Issues”, Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005
  59. Metcalf, D., Milliard, S.T.J., Gomez, M. and Schwartz, M. (2016). “Wearables and the Internet of Things for Health: Wearable, Interconnected Devices Promise More Efficient and Comprehensive Health Care”, IEEE Pulse, 7, 35- https://doi.org/39. 10.1109/MPUL.2016.2592260
  60. Mishra, R., Singh, R.K. and Gunasekaran, A. (2024). “Digitalization of Supply Chains in Industry 4.0 Environment of Manufacturing Organizations: Conceptualization, Scale Development & Validation”, Production Planning & Control, 35(11), 1278-1297. https://doi.org/10.1080/09537287.2023.2172622
  61. Mourtzis, D., Siatras, V., Zogopoulos, V. (2020). “Augmented Reality Visualization of Production Scheduling and Monitoring”, Procedia CIRP, 88, 151-156. https://doi.org/10.1016/j.procir.2020.05.027
  62. Nomura, T., Sugimoto, K., Syrdal, D.S. and Dautenhahn, K. (2012). “Social Acceptance of Humanoid Robots in Japan: A Survey for Development of the Frankenstein Syndorome Questionnaire”, 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), 242-247. IEEE. https://doi.org/10.1109/HUMANOIDS.2012.6651527
  63. Nunnally, J.C. (1978). “An Overview of Psychological Measurement.” Clinical Diagnosis of Mental Disorders, Editor: B.B. Wolman, 97-146. Springer.
  64. Nunnally, J.C. and Bernstein, I.H. (1994). “Psychometric Theory”, McGraw-Hill.
  65. Onday, O. (2017). “Dijital Dönüşüm”, Gazi Kitabevi, Ankara.
  66. Özkanlısoy, Ö. and Bulutlar, F. (2022). “Measuring Using Disruptive Technology in the Supply Chain Context: Scale Development and Validation”, Journal of Theoretical and Applied Electronic Commerce Research, 17(4), 1336-1360. https://doi.org/10.3390/jtaer17040068
  67. Pandya, D. and Kumar, G. (2023). “Applying Industry 4.0 Technologies for the Sustainability of Small Service Enterprises”, Service Business, 17(1), 37-59. https://doi.org/10.1007/s11628-022-00507-7
  68. Pattanapairoj, S., Nitisiri, K. and Sethanan, K. (2021). “A Gap Study between Employers’ Expectations in Thailand and Current Competence of Master’s Degree Students in Industrial Engineering under Industry 4.0”, Production Engineering Archives, 27(1), 50-57. https://doi.org/10.30657/pea.2021.27.7
  69. Patton, M.Q. (2002). “Qualitative Research & Evaluation Methods”, 3rd Ed., Sage Publications. Pessl, E., Sorko, S.R. and Mayer, B. (2017). "Roadmap Industry 4.0 – Implementation Guideline for Enterprises" Technology and Society, 5(6), 10.
  70. Pinto, A., Lemos, L., Carvalho, C., Santos, J., Menezes, P. and Nomura, T. (2025). “Translation, Adaptation, and Validation in Portuguese of an Acceptance Scale for Human–Robot Interaction in an Industrial Context”, Human Behavior and Emerging Technologies, 2025(1), 8816379. https://doi.org/10.1155/hbe2/8816379
  71. Popovich, A.A., Sufiiarov, V.S. and Grigoriev, A.V. (2017). “Additive Technologies-The Basis of Digital Custom Manufacturing”, Industry 4.0: Entrepreneurship and Structural Change in the New Digital Landscape, 219-230.
  72. Prinz, C., Morlock, F., Freith, S., Kreggenfeld, N., Kreimeier, D. and Kuhlenkotter, B. (2016). “Learning Factory Modules for Smart Factories in Industrie 4.0”, Procedia CIRP, 54, 113-118. https://doi.org/10.1016/j.procir.2016.05.105
  73. Raguseo, E. (2018). “Big Data Technologies: An Empirical Investigation on Their Adoption, Benefits and Risks for Companies”, International Journal of Information Management, 38(1), 187-195. https://doi.org/10.1016/j.ijinfomgt.2017.07.008
  74. Reischauer, G. (2018). “Industry 4.0 as Policy-Driven Discourse to Institutionalize Innovation Systems in Manufacturing”, Technological Forecasting and Social Change, 132, 26-33. https://doi.org/10.1016/j.techfore.2018.02.012
  75. Rha, J.S. and Lee, H.H. (2022). “Research Trends in Digital Transformation in the Service Sector: A Review Based on Network Text Analysis”, Service Business, 16, 77-98. https://doi.org/10.1007/s11628-022-00481-0
  76. Riazul Islam, S.M., Kwak, D., Humaun Kabir, M., Hossain, M. and Kwak, K-S. (2015). “The Internet of Things for Health Care: A Comprehensive Survey”, IEEE Access, 3, 678–708. https://doi.org/10.1109/ACCESS.2015.2437951
  77. Richert, A., Shehadeh, M., Müller, S., Schröder, S. and Jeschke, S. (2016). “Robotic Workmates: Hybrid Human-Robot-Teams in the Industry 4.0”, The 11th International Conference on e-Learning-ICEL2016, Kuala Lumpur.
  78. Rikalovic, A., Suzic, N., Bajic, B. and Piuri, V. (2021). “Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective”, IEEE Systems Journal, 16(2), 2797-2810. https://doi.org/10.1109/JSYST.2020.3023041
  79. Rogers, E.M. (2003). “Diffusion of Innovations”, Free Press. Saçak Düzgün, S., Özen, Ü. and Fındık, D. (2024). “Endüstri 4.0 Teknolojilerinin Getirileri ve Önündeki Engeller Üzerine Kavramsal bir Çerçeve Önerisi”, AJIT-E: Academic Journal of Information Technology, 15(3), 246-264. https://doi.org/10.5824/ajite.2024.03.004.x
  80. Salkın, C., Oner, M., Ustundag, A. and Çevikcan, E. (2018). “A Conceptual Framework for Industry 4.0”, Industy 4.0: Managing the Dijital Transformation. Springer International Publishing, Editors: A. Ustundag, E. Çevikcan, Switzerland.
  81. Santos, M.Y., Oliveira Sá, J., Andrade, C., Lima, F.V., Costa, E., Costa, C., Martinho, B. and Galvão, J. (2017). “A Big Data System Supporting Bosch Braga Industry 4.0 Strategy”, International Journal of Information Management, 37, 750-760. https://doi.org/10.1016/j.ijinfomgt.2017.07.012
  82. Sarvari, P.A., Ustundag, A., Cevikcan, E., Kaya, I. and Cebi, S. (2018). "Technology Roadmap for Industry 4.0", Industry 4.0: Managing the Digital Transformation. Springer International Publishing, Editors: A. Ustundag, E. Çevikcan, 95-103.
  83. Schaeffer, D.M. and Olson, P.C. (2014). “Big Data Options for Small and Medium Enterprises”, Review of Business Information Systems, 18, 41-46. https://doi.org/10.19030/rbis.v18i1.8542
  84. Schaffernak, H., Moesl, B., Vorraber, W., Koglbauer, I.V. (2020). “Potential Augmented Reality Application Areas for Pilot Education: An Exploratory Study”, Education Sciences, 10, 86. https://doi.org/10.3390/educsci10040086
  85. Schwab, K. (2016). “Die Vierte Industrielle Revolution”, Pantheon Verlag. Şimşek Demirbağ, K. (2021). “Endüstri 4.0 Dönüşümünün Türkiye Beyaz Eşya Sektöründeki Mevcut Durumu ve Mühendislik Işi Üzerindeki Etkisi”, Doktora Tezi, İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü, İstanbul.
  86. Ślusarczyk, B., Nathan, R. J. and Pypłacz, P. (2021). “Employee Preparedness for Industry 4.0 in Logistic Sector: A Cross-National Study between Poland and Malaysia”, Social Sciences, 10(7), 258. https://doi.org/10.3390/socsci10070258
  87. Sözbilir, F. (2021). “Development and Validation of An Industry 4.0 Adaptation Potential Scale (4IRAPS)”, Technological and Economic Development of Economy, 27(3), 704-721. https://doi.org/10.3846/tede.2021.14513
  88. Stawiarska, E., Szwajca, D., Matusek, M. and Wolniak, R. (2021). “Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland”, Sustainability, 13(9), 4867. https://doi.org/10.3390/su13094867
  89. Tabachnick, B.G. and Fidell, L.S. (2013). “Using Multivariate Statistics”, 6th Ed., Pearson.
  90. Thompson, B. (2004). “Exploratory and Confirmatory Analysis: Understanding Concepts and Applications”, American Psychological Association, Washington, DC, USA.
  91. Tortorella, G.L., Vergara, A.M.C., Garza-Reyes, J.A. and Sawhney, R. (2020). “Organizational Learning Paths Based upon Industry 4.0 Adoption: An Empirical Study with Brazilian Manufacturers”, International Journal of Production Economics, 219, 284-294. https://doi.org/10.1016/j.ijpe.2019.06.023
  92. Vaidya, S., Ambad, P. and Bhosle, S. (2018). “Industry 4.0 - A Glimpse”, Procedia Manufacturing, 20, 233-238. https://doi.org/10.1016/j.promfg.2018.02.034
  93. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003). “User Acceptance of Information Technology: Toward A Unified View”, MIS Quarterly, 27(3), 425-478.
  94. Wang, L. and Wang, G. (2016). “Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0”, International Journal of Engineering and Manufacturing, 4, 1-8.
  95. Wang, S., Wan, J., Li, D. and Zhang, C. (2016). “Implementing Smart Factory of Industry 4.0: An Outlook”, International Journal of Distributed Sensor Networks, 12(1), 3159805. https://doi.org/10.1155/2016/315980
  96. Wongchinsri, P. and Kuratach, W. (2016). “A Survey—Data Mining Frameworks in Credit Card Processing”, 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, Chiang Mai, Thailand, 1-6.
  97. Wu, M., Tam, H.P. and Jen, T.H. (2016). “Educational Measurement for Applied Researchers Theory into Practice”, Springer, Singapore.
  98. Xu, L., He, W. and Li, S. (2014). “Internet of Things in Industries: A Survey”, IEEE Transactions on Industrial Informatics, 10(4), 2233-2243.
  99. Yin, Y., Stecke, K.E. and Li, D. (2017). “The Evolution of Production Systems from Industry 2.0 through Industry 4.0”, International Journal of Production Research, 7543, 1-14. https://doi.org/10.1080/00207543.2017.1403664
  100. Zezulka, F., Marcon, P., Vesely, I. and Sajdl, O. (2016). “Industry 4.0: An Introduction in the Phenomenon”, IFAC-PapersOnLine, 49(25), 8-12.