Journals / Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi / 2026 / Sayı: YZ (AI) ve Gelecek Perspektifler Özel Sayı

The digital transformation process in businesses: The evolution of emotional intelligence toward artificial intelligence

İşletmelerde dijital dönüşüm süreci: Duygusal zekânin yapay zekâya doğru evrimi

Pages
260–278
Publication Date
2025-12-07
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AI Summary & Key Takeaways

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

The findings reveal that in the new digital ecosystem where the boundaries between humans and technology are becoming increasingly blurred, emotionally enriched artificial intelligence technologies play a crucial role in enabling businesses to gain sustainable competitive advantage.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to examine the interaction between emotional intelligence and artificial intelligence in the restructuring of business management processes in the era of digital transformation.
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Key Findings & Data:The recognition, understanding, and regulation skills of emotional intelligence are reflected in artificial intelligence technologies in terms of empathy, emotional analysis, and user experience, thereby creating strategic differentiation within organizations.
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Conclusion & Impact:The findings reveal that in the new digital ecosystem where the boundaries between humans and technology are becoming increasingly blurred, emotionally enriched artificial intelligence technologies play a crucial role in enabling businesses to gain sustainable competitive advantage.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Dijital dönüşüm · duygusal zeka · yapay zeka

Abstract

This study aims to examine the interaction between emotional intelligence and artificial intelligence in the restructuring of business management processes in the era of digital transformation. The growing impact of artificial intelligence technologies in areas such as decision-making, human resource management, and customer relations has brought about a transformation in both technological adaptation and human-centered management approaches. The recognition, understanding, and regulation skills of emotional intelligence are reflected in artificial intelligence technologies in terms of empathy, emotional analysis, and user experience, thereby creating strategic differentiation within organizations. In this study, a mixed research method was employed, incorporating both qualitative (case analysis and thematic coding) and quantitative (descriptive statistics) data analyses. The artificial intelligence applications of companies such as Türk Telekom, Arçelik, and Koç Holding demonstrate that businesses in Turkey are achieving strategic alignment at an international level during this transformation process. The study identifies that the interaction between emotional intelligence and artificial intelligence yields significant outcomes, especially in areas such as employee engagement, digital leadership, and ethical technology management. The findings reveal that in the new digital ecosystem where the boundaries between humans and technology are becoming increasingly blurred, emotionally enriched artificial intelligence technologies play a crucial role in enabling businesses to gain sustainable competitive advantage.

Özet

Bu çalışma, dijital dönüşüm çağında işletme yönetimi süreçlerinin yeniden yapılandırılmasında duygusal zekâ ile yapay zekâ arasındaki etkileşimi incelemeyi amaçlamaktadır. İşletmelerde yapay zekâ teknolojilerinin karar alma, insan kaynakları yönetimi ve müşteri ilişkileri gibi alanlarda giderek artan etkisi teknolojik adaptasyon ve insan odaklı yönetim anlayışının dönüşümünü de beraberinde getirmiştir. Duygusal zekânın tanıma, anlama ve yönetme becerileri, yapay zekanın teknolojilerine empati, duygusal analiz ve kullanıcı deneyimi boyutlarında yansımakta olup bu da işletmelerde stratejik farklılaşma yaratmaktadır. Bu çalışmada, karma araştırma yöntem kullanılarak hem nitel (vaka analizi ve tematik kodlama) hem de nicel (tanımlayıcı istatistikler) veri analizi gerçekleştirilmiştir. Türk Telekom, Arçelik ve Koç Holding gibi işletmelerin yapay zekâ uygulamaları, Türkiye’deki işletmelerin bu dönüşüm sürecinde uluslararası düzeyde stratejik uyum sağladığını ortaya koymaktadır. Özellikle çalışan bağlılığı, dijital liderlik ve etik teknoloji yönetimi gibi alanlarda duygusal zekâ ve yapay zekâ etkileşiminin önemli çıktılar sunduğu tespit edilmiştir. Araştırma, insan ve teknoloji arasındaki sınırların bulanıklaştığı yeni dijital ekosistemde işletmelerin sürdürülebilir rekabet avantajı elde etmesinde duygusal zekâ ile zenginleştirilmiş yapay zekâ teknolojilerinin önemli rol oynadığını göstermektedir.

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Cite This Article

Savaşkan, D. E. (2025). The digital transformation process in businesses: The evolution of emotional intelligence toward artificial intelligence. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, Sayı: YZ (AI) ve Gelecek Perspektifler Özel Sayı, 260–278. https://doi.org/10.30783/nevsosbilen.1739703

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References (84)

  1. Accenture. (2021). Artificial intelligence in industrial manufacturing: Driving efficiency and innovation. Accenture Research.
  2. Accenture. (2023). Human + Machine: Reimagining Work in the Age of AI. https://www.accenture.com
  3. American Psychological Association. (2023). Meta-analysis on emotional intelligence and job performance. APA Publishing.
  4. Ankara Üniversitesi. (2022). Finans sektöründe duygusal zekânın yönetsel etkileri.
  5. Arçelik. (2023). Arçelik Dijital Dönüşüm ve Yetenek Gelişim Raporu 2023. https://www.arcelikglobal.com
  6. Arçelik. (2024). Sürdürülebilirlik ve Dijital Dönüşüm Faaliyet Raporu. https://www.arcelikglobal.com
  7. Ashkanasy, N. M., & Dorris, A. D. (2017). Emotions in the workplace. Annual Review of Organizational Psychology and Organizational Behavior, 4(1), 67–90. https://doi.org/10.1146/annurev-orgpsych-032516-113231
  8. Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482.
  9. Boyatzis, R. E., Goleman, D., & Rhee, K. (2000). Clustering competence in emotional intelligence: Insights from the Emotional Competence Inventory (ECI). In R. Bar-On & J. D. A. Parker (Eds.), Handbook of emotional intelligence (pp. 343–362). Jossey-Bass.
  10. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27– 40. https://doi.org/10.3316/QRJ0902027
  11. Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
  12. Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future.
  13. Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2017). Artificial intelligence: The next digital frontier? McKinsey Global Institute. https://www.mckinsey.com/featured- insights/artificial-intelligence/thenext-digital-frontier
  14. Calo, R. (2017). Artificial Intelligence policy: A primer and roadmap. UC Davis Law Review, 51(2), 399–435.
  15. Chamorro-Premuzic, T., Wade, M., & Jordan, J. (2018). The digital transformation of leadership: A 21st-century imperative. MIT Sloan Management Review, 59(4), 14–17.
  16. Chatterjee, S., Nguyen, B., Ghosh, S. K., Bhattacharjee, K. K., & Chaudhuri, R. (2020). Digital transformation and emotional intelligence: Implications for employee performance. Technological Forecasting and Social Change, 158, 120–135. https://doi.org/10.1016/j.techfore.2020.120135
  17. Cherniss, C. (2010). Emotional intelligence: Toward clarification of a concept. Industrial and Organizational Psychology, 3(2), 110–126. https://doi.org/10.1111/j.1754-9434.2010.01231.x
  18. Cherniss, C., & Goleman, D. (2001). The emotionally intelligent workplace: How to select for, measure, and improve emotional intelligence in individuals, groups, and organizations. Jossey-Bass.
  19. Covey, S. R. (2004). The 7 habits of highly effective people: Powerful lessons in personal change. Free Press.
  20. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., & Taylor, J. G. (2001). Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine, 18(1), 32–80. https://doi.org/10.1109/79.911197
  21. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
  22. Dastin, J. (2019, April 30). Amazon rolls out machines that pack orders and replace jobs. Reuters. https://www.reuters.com/article/us-amazon-automation-insight-idUSKCN1S61QX
  23. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116
  24. Deloitte. (2021). The analytics advantage: Real-time insights for competitive agility. Deloitte Insights.
  25. Deloitte. (2022). The future of work: Balancing flexibility and productivity in hybrid models. Deloitte Insights.
  26. Deloitte. (2024). Tech Trends 2024: Elevating the Enterprise. Deloitte Insights. https://www2.deloitte.com
  27. Deloitte. (2024). 2024 global digital transformation report. https://www2.deloitte.com/global/en/pages/technology/articles/global-digital- transformation.html
  28. Demir, A., & Arslan, H. (2020). Yapay zekâ teknolojilerinin iş süreçlerine entegrasyonu ve çalışan motivasyonu: Türkiye örneği. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 20(1), 101–120. https://doi.org/10.18037/anadolu.671432
  29. Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62–70. https://doi.org/10.1016/j.infoandorg.2018.02.005
  30. Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2013). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 55(2), 1–12.
  31. Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2019). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 60(2), 1–13. https://sloanreview.mit.edu/article/embracing- digital-technology-a-new-strategic-imperative/
  32. Gartner. (2022). Data-driven decision making in the digital enterprise. Gartner Research.
  33. Gartner. (2023). Digital Customer Experience Benchmark Report. Gartner Research.
  34. Gartner. (2024). Customer experience trends: AI-enabled emotional analytics impact. Gartner Research. https://www.gartner.com/en/documents/customer-experience-trends-2024
  35. Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ. Bantam Books.
  36. Goleman, D. (2013). Focus: The hidden driver of excellence. HarperCollins.
  37. Goleman, D. (2013). Emotional intelligence: Why it can matter more than IQ. Bantam Books.
  38. Goleman, D., Boyatzis, R., & McKee, A. (2022). Emotional intelligence and digital leadership in AI-driven organizations. Journal of Business Research, 145, 567–578. https://doi.org/10.1016/j.jbusres.2022.01.045
  39. Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Toward a conceptual ramework for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 11(3), 255–274. https://doi.org/10.3102/01623737011003255
  40. Harvard Business Review. (2020). The connection between emotional intelligence and employee retention.
  41. Harvard Business Review. (2022). The Real Reasons Digital Transformations Fail. Harvard Business Publishing.
  42. Huang, M.-H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 54–72. https://doi.org/10.1177/1094670520902265
  43. Huang, M., & Rust, R. T. (2021). Artificial intelligence in service innovation: Human-AI collaboration and emotional intelligence. Journal of Service Research, 24(2), 123–140. https://doi.org/10.1177/1094670520919337
  44. Huppert, F. A., Cooper, C. L., & Palmer, S. (2020). Wellbeing: A complete reference guide, volume II: Wellbeing and the workplace. Wiley-Blackwell.
  45. IBM. (2023). Cost of a Data Breach Report 2023. https://www.ibm.com
  46. Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
  47. Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review, 14(1), 1–25. https://sloanreview.mit.edu/projects/strategy-drives-digital-transformation/
  48. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
  49. Kaya, S., & Yılmaz, T. (2021). Dijital dönüşüm süreçlerinde liderlik ve duygusal zekâ ilişkisi: Türkiye’de hizmet sektörü örneği. Sakarya Üniversitesi Yönetim Bilimleri Dergisi, 9(2), 45–63. https://doi.org/10.16908/sakarya.123456
  50. Koç Holding. (2023). Sürdürülebilirlik Raporu 2023. https://www.koc.com.tr
  51. Mayer, J. D., Caruso, D. R., & Salovey, P. (2016). The ability model of emotional intelligence: Principles and updates. Emotion Review, 8(4), 290–300. https://doi.org/10.1177/1754073916639667
  52. McKinsey Global Institute.Calo, R. (2017). Artificial Intelligence policy: A primer and roadmap. UC Davis Law Review, 51(2), 399–435.
  53. McKinsey & Company. (2022). Hybrid work: Making it work for organizations and employees. McKinsey Global Institute.
  54. McKinsey & Company. (2023). Emotional intelligence in modern leadership
  55. McKinsey Global Institute. (2024). The Future of Work: Human Skills and Automation. https://www.mckinsey.com
  56. MIT Sloan Management Review. (2023). Leading Through Digital Transformation. https://sloanreview.mit.edu
  57. Microsoft. (2021). The next great disruption is hybrid work—Are we ready? 2021 Work Trend Index. Microsoft.
  58. Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE Publications.
  59. Öztürk, F. (2019). Dijital dönüşümde insan faktörü: Duygusal zekâ ve örgütsel performans ilişkisi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 48(1), 77–95. https://doi.org/10.26650/iuisbd.2019.48.1.123
  60. Petrides, K. V., & Furnham, A. (2016). Emotional intelligence: A review of empirical and theoretical literature. In G. Matthews, M. Zeidner, & R. D. Roberts (Eds.), Emotional intelligence: Knowns and unknowns (pp. 78–111). Oxford University Press.
  61. Philips. (2022). Annual report 2022: Driving digital health innovation. Koninklijke Philips N.V.
  62. Picard, R. W. (1997). Affective computing. MIT Press.
  63. Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017). A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, 98–125. https://doi.org/10.1016/j.inffus.2017.02.003
  64. PwC. (2020). The future of industries: New revenue streams in the digital age. PricewaterhouseCoopers.
  65. Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
  66. Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed.). SAGE Publications.
  67. Salesforce. (2024). Work from Anywhere Trends. https://www.salesforce.com
  68. Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG
  69. Sadiku, M. N. O., Eze, K. E., & Musa, S. M. (2020). Artificial intelligence and emotional intelligence. International Journal of Scientific and Engineering Research, 11(9), 1594–1596.
  70. Serrat, O. (2017). Understanding and developing emotional intelligence. In Knowledge Solutions (pp. 329–339). Springer. https://doi.org/10.1007/978-981-10-0983-9_37
  71. Shin, D. (2020). The role of affective and social computing in digital transformation: A review. Technology in Society, 62, 101292. https://doi.org/10.1016/j.techsoc.2020.101292
  72. Siemens AG. (2023). AI + EQ: Industry 4.0 and Human-Centered Design. Siemens White Paper. https://www.siemens.com
  73. Siemens. (2023). Shaping the Future of Work. https://www.siemens.com
  74. Tashakkori, A., & Teddlie, C. (2010). SAGE handbook of mixed methods in social & behavioral research (2nd ed.). SAGE Publications.
  75. Türkiye Bilişim Derneği (TBD). (2023). Türkiye dijital dönüşüm raporu 2023. TBD Yayınları. https://www.tbd.org.tr/rapo
  76. Türkiye Bilişim Derneği (TBD). (2024). Dijitaleşmel Raporu. https://www.tbd.org.tr/rapo
  77. Türkiye İstatistik Kurumu (TÜİK). (2022). KOBİ’lerde yönetsel yetkinlikler ve çalışan performansı.
  78. TÜBİTAK. (2023). Dijital Dönüşümde İnsan Kaynağı Raporu. https://www.tubitak.gov.tr
  79. Türk Telekom. (2023). 2023 Faaliyet Raporu. https://www.turktelekom.com.tr
  80. Unilever. (2023). Digital HR Transformation Report. https://www.unilever.com
  81. Unilever. (2024). Ethical Use of Artificial Intelligence Report. https://www.unilever.com
  82. Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
  83. Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading digital: Turning technology into business transformation. Harvard Business Review Press.
  84. World Economic Forum. (2023). Future of Jobs Report 2023. https://www.weforum.org