SavedAdd your journal

Journals / Yükseköğretim ve Bilim Dergisi / 2026 / Cilt: 16 Sayı: 1

The Effects of Artificial Intelligence on Career and Employment: Opinions of Management Information Systems Students

Yapay Zekânın Kariyer ve İstihdam Üzerindeki Etkileri: Yönetim Bilişim Sistemleri Öğrencilerinin Görüşleri

Ebru Polat(MUSTAFA KEMAL ÜNİVERSİTESİ)0000-0002-2546-7040
Pages
102–116
Publication Date
2026-04-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The findings reveal that students use AI for information acquisition, learning, software development, and professional purposes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of the study is to explore how students in the Management Information Systems (MIS) department use artificial intelligence (AI) in relation to their field, as well as to identify their perceptions and views regarding its potential effects on their careers, post graduation job search processes, and industry-related work practices.
📊
Key Findings & Data:The research is conducted using a qualitative method, and data are collected through an open-ended questionnaire.
💡
Conclusion & Impact:The findings reveal that students use AI for information acquisition, learning, software development, and professional purposes.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zekâ · Kariyer · İstihdam

Abstract

The aim of the study is to explore how students in the Management Information Systems (MIS) department use artificial intelligence (AI) in relation to their field, as well as to identify their perceptions and views regarding its potential effects on their careers, post graduation job search processes, and industry-related work practices. The research is conducted using a qualitative method, and data are collected through an open-ended questionnaire. The findings reveal that students use AI for information acquisition, learning, software development, and professional purposes. Participants state that AI contributes to enhancing career opportunities, increasing efficiency, providing a competitive advantage, and enabling the development of new business models. Additionally, benefits such as contributing to a more qualified workforce and enabling time and cost savings are emphasized. However, participants also note several negative impacts, including encouraging laziness, posing security risks, and weakening critical thinking skills. The results of the study suggest that AI presents both opportunities and risks, and underscore the need to enhance individuals’ ability to engage with this technology critically

Özet

Bu çalışmanın amacı, yönetim bilişim sistemleri (YBS) bölümü öğrencilerinin yapay zekânın yaşamlarında alanları ile ilgili nasıl kullandıklarını kariyerlerine, mezuniyet sonrası iş bulma süreçlerine ve sektördeki iş süreçlerine yönelik olası etkilerine dair algılarını ve görüşlerini belirlemektir. Nitel yöntemle yürütülen araştırmada veriler açık uçlu anket formu ile toplanmıştır. Bulgular, öğrencilerin yapay zekâyı bilgi edinme, öğrenme, yazılım geliştirme ve profesyonel amaçlarla kullandıklarını göstermektedir. Katılımcılar, yapay zekânın kariyer fırsatlarını artırma, verimlilik sağlama, rekabet avantajı kazandırma ve yeni iş modelleri geliştirme gibi katkılar sunduğunu belirtmiştir. Ayrıca, nitelikli iş gücüne katkı, zaman ve maliyet tasarrufu gibi faydalar vurgulanmıştır. Ancak tembelliği teşvik etme, güvenlik riskleri oluşturma ve eleştirel düşünmeyi zayıflatma gibi olumsuz etkiler de dile getirilmiştir. Araştırma sonucunda yapay zekânın hem fırsatlar hem de riskler sunduğu ve bu teknolojiyi eleştirel şekilde kullanma becerisinin artırılması gerektiği ortaya konulmuştur.

🔖

Cite This Article

Polat, E. (2026). The Effects of Artificial Intelligence on Career and Employment: Opinions of Management Information Systems Students. Yükseköğretim ve Bilim Dergisi, Cilt: 16 Sayı: 1, 102–116. https://doi.org/10.5961/higheredusci.1782554

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (68)

  1. Abdelhay, S., Korany, H., Marie, A., ve Rahim, N. F. A. (2023). Ar t ificial intelligence applications in the recruitment process opportunities and challenges. J. Eur. Chem. Bull, 12(7), 1008 1019. https://doi.org/10.48047/ecb/2023.12.7.77
  2. Abdelwahab, H. R., Rauf, A., ve Chen, D. (2023). Business stu dents’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments. Industry and Higher Education, 37(1), 22-34. https://doi. org/10.1177/09504222221087614
  3. Abulibdeh, A., Zaidan, E., ve Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challen ges, opportunities, and ethical dimensions. Journal of Clea ner Production, 437, 1-15. https://doi.org/10.1016/j.jclep ro.2023.140527
  4. Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M., Irshad, M., Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of ar t ificial intelligence on human loss in decision making, laziness and safety in education. Humanities and Social Sciences Com munications, 10(1), 1-14. https://doi.org/10.1057/s41599 023-01787-8
  5. Alamäki, A., Nyberg, C., Kimberley, A., ve Salonen, A. O. (2024, March). Artificial intelligence literacy in sustainable deve lopment: A learning experiment in higher education. Fron t iers in Education, 9, 1-10. https://doi.org/10.3389/fe duc.2024.1343406
  6. Almaraz-López, C., Almaraz-Menéndez, F., ve López-Esteban, C. (2023). Comparative study of the attitudes and perceptions of university students in business administration and mana gement and in education toward artificial intelligence. Edu cation Sciences, 13(6), 1-14. https://doi.org/10.3390/educs ci13060609
  7. Anton, E., Oesterreich, T. D., Schuir, J., Protz, L., ve Teuteberg, F. (2021). A business model taxonomy for start-ups in the elect ric power industry—The electrifying effect of artificial intelli gence on business model innovation. International Journal of Innovation and Technology Management, 18(03), 2150004. https://doi.org/10.1142/S0219877021500048
  8. Aslay, F., Özen, Ü., & Çam, H. (2021). Yönetim bilişim sistemleri eğitiminin kazandırdığı yeteneklerin teknoparkların insan kay nağı gereksinimlerini karşılamadaki etkisi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 35(3), 927-942. https://doi. org/10.16951/atauniiibd.837142
  9. Belanche, D., Belk, R. W., Casaló, L. V., & Flavián, C. (2024). The dark side of artificial intelligence in services. The Service In dustries Journal, 44(3-4), 149-172. https://doi.org/10.1080/0 2642069.2024.2305451
  10. Biswas, S. (2023). Role of ChatGPT in Computer Programming. Mesopotamian Journal of Computer Science, 2023, 9-15.
  11. Brougham, D., ve Haar, J. (2018). Smart technology, artificial in telligence, robotics, and algorithms (STARA): Employees’ per ceptions of our future workplace. Journal of Management ve Organization, 24(2), 239-257. https://doi.org/10.1017/ jmo.2016.55
  12. Bruun, E. P., ve Duka, A. (2018). Artificial intelligence, jobs and the future of work: Racing with the machines. Basic Income Stu dies, 13(2), 20180018. https://doi.org/10.1515/bis-2018-0018
  13. Chamoso, P., González-Briones, A., ve García-Peñalvo, F. J. (2021). Information technology in the search for employment: artifici al intelligence to find the best job. F. J. García-Peñalvo (Ed). In formation Technology Trends for a Global and Interdisciplinary Research Community (s.252-267) içinde. IGI Global. https:// doi.org/10.4018/978-1-7998-4156-2.ch012
  14. Chowdhury, T., & Oredo, J. (2023). AI ethical biases: normative and information systems development conceptual frame work. Journal of Decision Systems, 32(3), 617-633. https://doi. org/10.1080/12460125.2022.2062849
  15. Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches. (3. Baskı). London: Sage. Damar, M., & Bölen, M. C. (2021). Türkiye’de yönetim bilişim sis temleri alanındaki araştırmacıların genel dokusu üzerine bir değerlendirme. Yönetim Bilişim Sistemleri Dergisi, 7(2), 86-97.
  16. Davenport, T. H., ve Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
  17. Ehie, I. C. (2002). Developing a management information systems (MIS) curriculum: Perspectives from MIS practitioners. Jo urnal of Education for Business, 77(3), 151-158. https://doi. org/10.1080/08832320209599064
  18. Elrod, C. C., Stanley, S. M., Cudney, E. A., Hilgers, M. G., ve Gra ham, C. (2022). Management information systems education: a systematic review. Journal of Information Systems Educati on, 33(4), 357-370.
  19. Ernst, E., Merola, R., ve Samaan, D. (2019). Economics of artifi cial intelligence: Implications for the future of work. IZA Jo urnal of Labor Policy, 9(1), 1-35. https://doi.org/10.2478/iza jolp-2019-0004
  20. Faqihi, A., ve Miah, S. J. (2023). Artificial intelligence-driven ta lent management system: Exploring the risks and options for constructing a theoretical foundation. Journal of Risk and Fi nancial Management, 16(1), 1-18. https://doi.org/10.3390/ jrfm16010031
  21. Frey, C. B., ve Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technologi cal forecasting and social change, 114, 254-280. https://doi. org/10.1016/j.techfore.2016.08.019
  22. Fukumura, Y. E., Gray, J. M., Lucas, G. M., Becerik-Gerber, B., ve Roll, S. C. (2021). Worker perspectives on incorporating ar t ificial intelligence into office workspaces: Implications for the future of office work. International Journal of Environ mental Research and Public Health, 18(4), 1-15. https://doi. org/10.3390/ijerph18041690
  23. Gangwar, R., Dash, B., Nanda, A., & Ayyub, S. (2024). Impact of artificial intelligence (AI) enabled management information system (MIS) in managerial decision making: An empirical study of leading business organisation. Journal of Informatics Education and Research, 4(2), 1325. https://doi.org/10.52783/ jier.v4i2.919
  24. Guest, G., Bunce, A., & Johnson, L. (2006). How many inter views are enough? An experiment with data saturation and variability. Field methods, 18(1), 59-82. https://doi. org/10.1177/1525822X052799
  25. Hejase, H. J., Fayyad-Kazan, H., Hejase, A. J., Moukadem, I., & Da nach, K. (2023). Needed MIS Competencies to the Job Market: Students’ Perspective. British Journal of Multidisciplinary and Advanced Studies, 4(5), 120-162.
  26. Henkoğlu, T., ve Şerefoğlu, H. (2019). Yönetim bilişim sistemleri bölümü öğretim programlarının bilgi yönetimi açısından de ğerlendirilmesi. Yükseköğretim ve Bilim Dergisi, 9(3), 587-602. https://doi.org/587-602. 10.5961/jhes.2019.357
  27. Hong, S. J., ve Cho, H. (2023). The role of uncertainty and affect in decision-making on the adoption of AI-based contact-tracing technology during the COVID-19 pandemic. Digital Health, 9. https://doi.org/10.1177/20552076231169836
  28. Imran, A. A., ve Lashari, A. A. (2023). Exploring the world of artifici al intelligence: The perception of the university students about ChatGPT for academic purpose. Global Social Sciences Review, VIII(I), 375-384. https://doi.org/10.31703/gssr.2023(VIII-I).34
  29. Jansen, H. (2010). The logic of qualitative survey research and its position in the field of social research methods. In Forum Qu alitative Sozialforschung/Forum: Qualitative Social Research (Vol. 11, No. 2). https://doi.org/10.17169/fqs-11.2.1450
  30. Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Busi ness horizons, 61(4), 577-586. https://doi.org/10.1016/j.bus hor.2018.03.007
  31. Johnson, M., Jain, R., Brennan-Tonetta, P., Swartz, E., Silver, D., Paolini, J.,. ve Hill, C. (2021). Impact of big data and artificial intelligence on industry: developing a workforce roadmap for a data driven economy. Global Journal of Flexible Systems Ma nagement, 22(3), 197-217. https://doi.org/10.1007/s40171 021-00272-y
  32. Kak, A. (2018). The emergence of the personal data protection bill, 2018: A critique. Economic and Political Weekly, 53(38), 12-16. Kaya, M. (2021). Sanayi 4.0’da yapay zekâ ve Türkiye. Fırat Üniver sitesi Uluslararası İktisadi ve İdari Bilimler Dergisi, 5(2), 63-94.
  33. Kim, J., Kadkol, S., Solomon, I., Yeh, H., Soh, J. Y., Nguyen, T. M.,Choi, J. Y., Lee, S., Srivatsa, A. V., Nahas, G. R., ve Ajilore, O. A. (2023). AI anxiety: a comprehensive analysis of psycho logical factors and interventions. Available at SSRN 4573394. https://doi.org/10.2139/ssrn.4573394
  34. Kulkarni, R. H., ve Padmanabham, P. (2017). Integration of arti f icial intelligence activities in software development proces ses and measuring effectiveness of integration. Iet Software, 11(1), 18-26. https://doi.org/10.1049/iet-sen.2016.0095
  35. Lauterbach, A. (2019). Artificial intelligence and policy: quo va dis?. Digital Policy, Regulation and Governance, 21(3), 238 263. https://doi.org/10.1108/DPRG-09-2018-0054
  36. Li, J., ve Huang, J. S. (2020). Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory. Tech nology in Society, 63,1-10. 101410. https://doi.org/10.1016/j. techsoc.2020.101410
  37. Liutkevicius, M., ve Yahia, S. B. (2022). The use of artificial intel ligence in job seeking and competence development. Human Factors, Business Management and Society, 56, 128-136. https://doi.org/10.54941/ahfe1002260
  38. Lu, H., Li, Y., Chen, M., Kim, H., ve Serikawa, S. (2018). Brain intel ligence: go beyond artificial intelligence. Mobile Networks and Applications, 23, 368-375. https://doi.org/10.1007/s11036 017-0932-8
  39. Maxwell, J.A. (2013). Qualitative research design: an ınteractive approach. (3 Ed.) SAGE Publications.
  40. Meakin, L. (2024). Exploring the impact of generative artificial in telligence on higher education students’ utilization of library resources: A critical examination. Information Technology and Libraries, 43(3). https://doi.org/10.5860/ital.v43i3.17246
  41. Merriam, S. B. (2015). Qualitative research: Designing, imple menting, and publishing a study. In Handbook of research on scholarly publishing and research methods (pp. 125-140). IGI Global Scientific Publishing.
  42. Miles, M. B. ve Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks.
  43. Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., ve Pietrantoni, L. (2023). The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations. Informing Science, 26, 39-68. https://doi.org/10.28945/5078
  44. Neuendorf, K. A. (2017). The content analysis guidebook. SAGE Publications. https://doi.org/10.4135/9781071802878
  45. Polat, E. (2025). Artificial intelligence literacy, lifelong learning, and fear of innovation: Identification of profiles and relations hips. Education and Information Technologies, 1-32.
  46. Qin, Y., Xu, Z., Wang, X., ve Skare, M. (2024). Artificial intelligence and economic development: An evolutionary investigation and systematic review. Journal of the Knowledge Economy, 15(1), 1736-1770. https://doi.org/10.1007/s13132-023-01183-2
  47. Ramírez, J. G. C. (2023). Incorporating ınformation architecture (ia), enterprise engineering (ee) and artificial intelligence (ai) to improve business plans for small businesses in the United States. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(1), 115-127.
  48. Rosak-Szyrocka, J., & Balsalobre-Lorente, D. (2025). Competenci es of the Future. In Enhancing Smart Universities with Emotio nal Intelligence (pp. 267-286). Routledge.
  49. Roul, J., Mohapatra, L. M., Pradhan, A. K., ve Kamesh, A. V. S. (2024). Analysing the role of modern information technologies in HRM: management perspective and future agenda. Kyber netes. https://doi.org/10.1108/K-11-2023-2512
  50. Samid, G. (2021). Artificial intelligence assisted innovation. Osaba, E., Villar, E., Lobo, J. L., Laña, I., ve Engelbrecht, A (ed.) Arti f icial Intelligence: Latest Advances, New Paradigms and No vel Applications (s. 107-126) içinde. IntechOpen. https://doi. org/10.5772/intechopen.96112
  51. Sarkar, A., Gordon, A. D., Negreanu, C., Poelitz, C., Ragavan, S. S., ve Zorn, B. (2022). What is it like to program with artificial in telligence?. arXiv preprint arXiv:2208.06213.
  52. Selenko, E., Bankins, S., Shoss, M., Warburton, J., ve Restu bog, S. L. D. (2022). Artificial intelligence and the future of work: A functional-identity perspective. Current Direc t ions in Psychological Science, 31(3), 272-279. https://doi. org/10.1177/09637214221091823
  53. Silva, C. A. G. D., Ramos, F. N., de Moraes, R. V., ve Santos, E. L. D. (2024). ChatGPT: Challenges and benefits in software prog ramming for higher education. Sustainability, 16(3), 1245. https://doi.org/10.3390/su16031245
  54. Sollosy, M., ve McInerney, M. (2022). Artificial intelligence and business education: What should be taught. The Internatio nal Journal of Management Education, 20(3), 1-7. https://doi. org/10.1016/j.ijme.2022.100720
  55. Southworth, J., Migliaccio, K., Glover, J., Reed, D., McCarty, C., Brendemuhl, J., ve Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Educa t ion: Artificial Intelligence, 4, 1-10. https://doi.org/10.1016/j. caeai.2023.100127
  56. Stoykova, S., ve Shakev, N. (2023). Artificial intelligence for ma nagement information systems: opportunities, challenges, and future directions. Algorithms, 16(8), 1-20. https://doi. org/10.3390/a16080357
  57. Susskind, D., & Susskind, R. (2018). The future of the professions. Proceedings of the American Philosophical Society, 162(2), 125-138
  58. Svetlana, N., Anna, N., Svetlana, M., Tatiana, G., ve Olga, M. (2022). Artificial intelligence as a driver of business process transformation. Procedia Computer Science, 213, 276-284. https://doi.org/10.1016/j.procs.2022.11.067
  59. Tekin, A., ve Demirel, O. (2024). Yapay zekâ teknolojileri ile istih dam ve verimlilik arasındaki ilişki. Yönetim Bilimleri Dergisi, 22 (Özel Sayı: Endüstri 4.0 ve Dijitalleşmenin Sosyal Bilimler de Yansımaları), 1585-1618. https://doi.org/10.35408/co muybd.1485233
  60. Tran, V. T., Porcher, R., Falissard, B., & Ravaud, P. (2016). Point of data saturation was assessed using resampling methods in a survey with open-ended questions. Journal of clinical epide miology, 80, 88-96.
  61. Vărzaru, A. A. (2022). Assessing artificial intelligence technology acceptance in managerial accounting. Electronics, 11(14), 2256. https://doi.org/10.3390/electronics11142256
  62. Vural, M., & Turan, A. H. (2019). Yönetim bilişim sistemleri bö lümü mezunlarının sahip olması gereken bilgi, beceri ve yet kinlikler. İşletme Bilimi Dergisi, 7(2), 357-388. https://doi. org/10.22139/jobs.562327
  63. Wang, W., ve Siau, K. (2019). Artificial intelligence, machine lear ning, automation, robotics, future of work and future of hu manity: A review and research agenda. Journal of Database Management (JDM), 30(1), 61-79. https://doi.org/10.4018/ JDM.2019010104
  64. Wilson, H. J., Daugherty, P. R., ve Morini-Bianzino, N. (2018). The jobs that artificial intelligence will create. What the Digital Fu ture Holds: 20 Groundbreaking Essays on How Technology Is Reshaping the Practice of Management içinde. The MIT Press. https://doi.org/10.7551/mitpress/11645.003.0020
  65. World Economic Forum, (2023). The Future of jobs report 2023. Erişim: 1 Aralık 2024, https://www.weforum.org/publicati ons/the-future-of-jobs-report-2023/.
  66. Yavuz, Ö. Ç., Taş, K., & Çağlar, B. (2023). Türkiye’de yönetim bilişim sistemleri disiplinine genel bakış. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi, 13(25), 73-94.
  67. Zhou, X., Zhang, J., & Chan, C. (2024). Unveiling students’ experi ences and perceptions of Artificial Intelligence usage in higher education. Journal of University Teaching and Learning Practi ce, 21(6), 126-145. https://doi.org/10.53761/xzjprb23
  68. Johnson, M., Jain, R., Brennan-Tonetta, P., Swartz, E., Silver, D., Paolini, J.,. ve Hill, C. (2021). Impact of big data and artificial intelligence on industry: developing a workforce roadmap for a data driven economy. Global Journal of Flexible Systems Ma nagement, 22(3), 197-217. https://doi.org/10.1007/s40171 021-00272-y