References
- Adeiza, A., Abdullahi, M., Abdelfattah, F., & Fawehinmi, O. (2022). Mediating mechanism of customer satisfaction on customer relationship management implementation and customer loyalty among consolidated banks. Supply Chain Management, 10(3), 819–832. https://doi.org/10.5267/j.uscm.2022.3.012
- Alkhalifah, J., Bedaiwi, A., Shaikh, N., Seddiq, W., & Meo, S. (2024). Existential anxiety about artificial intelligence (AI)- is it the end of the era of humanity or a new chapter in the human revolution: questionnaire-based observational study. Frontiers in Psychiatry, 15. https://doi.org/10.3389/fpsyt.2024.1368122
- Banjac, I., & Palić, M. (2020). “Analysis of Best Practice of Artificial Intelligence Implementation in Digital Marketing Activities”, 5th International Scientific and Professional Conference CRODMA 2020, October 23rd, Faculty of Organization and Informatics, University of Zagreb. Paper published in: Gregurec, I., Kvošca, V., Keglević Kozjak, S., Cvetko, L. (ur.).: Book of Papers: 5th International Scientific and Professional Conference (CRODMA 2020), str. 1 – 12, (ISSN 2459-7953). objavljen i u CroDiM; International Journal of Marketing Science, Vol. 4, No. 1, 2021. pp. 45-56.
- Bhbosale, S., Pujari, V., & Multani, Z. (2020). Advantages and disadvantages of artificial intelligence. International Interdisciplinary Research Journal, 13(1), 227–230.
- Bolf, N. (2021). Umjetne neuronske mreže. Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske, 70(9–10), 591–593.
- Bratić, D., Sačer, S., & Palić, M. (2020), Implications of Artificial Intelligence in Marketing Activities on Multimedia Platforms. in: Šimurina, J., Načinović Braje, I., & Pavić, I. (ur.) Proceedings of FEB Zagreb 11th International Odyssey Conference on Economics and Business. doi:10.22598/odyssey/2020.2
- Bringsjord, S. (2011). Psychometric artificial intelligence. Journal of Experimental & Theoretical Artificial Intelligence, 23(3), 271–277. https://doi.org/10.1080/0952813X.2010.502314
- Churchill, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(4), 491–504. https://doi.org/10.1177/002224378201900410
- Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: An interpersonal influence perspective. Journal of Marketing, 54(3), 68–81. https://doi.org/10.1177/002224299005400306
- Feng-Hsiung, H. (1999). IBM’s Deep Blue Chess grand-master chips. IEEE Micro, 19(2), 70–81. https://doi.org/10.1109/40.755469
- Fritsch, S., Blankenheim, A., Wahl, A., Hetfeld, P., Maaßen, O., Deffge, S., … & Bickenbach, J. (2022). Attitudes and perception of artificial intelligence in healthcare: a cross-sectional survey among patients. Digital Health, 8, 205520762211167. https://doi.org/10.1177/20552076221116772
- Girdhar, A. (2022). History of Artificial Intelligence – A Brief History of AI. Appy Pie. https://www.appypie.com/history-of-artificial-intelligence
- Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 1–10. https://doi.org/10.1177/0008125619864925
- Heskett, J. L., Sasser, W. E., & Schlesinger, L. A. (1997). The service profit chain. Free Press.
- Hua, X., Hasan, N. A. M., De Costa, F., & Qiao, W. (2024). Opportunities or Challenges? The Interplay between Artificial Intelligence and Corporate Social Responsibility Communication. Business Systems Research: International journal of the Society for Advancing Innovation and Research in Economy, 15(1), 131-157. https://doi.org/10.2478/bsrj-2024-0007
- Isada, F. (2024). Inter-Organisational Collaboration Networks in The Introduction Phase of Generative AI. ENTRENOVA-ENTerprise REsearch InNOVA-tion, 10(1), 481-488. https://doi.org/10.54820/entrenova-2024-0037
- Kauttonen, J., Rousi, R., & Alamäki, A. (2025). Trust and acceptance challenges in the adoption of AI applications in health care: quantitative survey analysis. Journal of Medical Internet Research, 27, e65567. https://doi.org/10.2196/65567
- Kotler, P., & Armstrong, G. (2017). Principles of marketing (17th ed.). Pearson Education Limited.
- McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904
- McCulloch, W. S., & Pitts, W. (1943). A logical calculus of the ideas immanent in nervous activity. The Bulletin of Mathematical Biophysics, 5(4), 115–133. https://doi.org/10.1007/BF02478259
- McLean, S. (2021). The risks associated with Artificial General Intelligence: A systematic review. Journal of Experimental & Theoretical Artificial Intelligence, 35(5), 649–663.
- Michie, D. (1993). Turing’s test and conscious thought. Artificial Intelligence, 60(1), 1–22. https://doi.org/10.1016/0004-3702(93)90032-7
- Neisser, U., Boodoo, G., Bouchard, T. J., Jr., Boykin, A. W., Brody, N., Ceci, S. J., Halpern, D. F., Loehlin, J. C., Perloff, R., Sternberg, R. J., & Urbina, S. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51(2), 77–101. https://doi.org/10.1037/0003-066X.51.2.77
- Ongena, Y., Yakar, D., Haan, M., & Kwee, T. (2021). Artificial intelligence in screening mammography: a population survey of women’s preferences. Journal of the American College of Radiology, 18(1), 79-86. https://doi.org/10.1016/j.jacr.2020.09.042
- Ou, M., Zheng, H., Zeng, Y., & Hansen, P. (2024). Trust it or not: Understanding users’ motivations and strategies for assessing the credibility of AI-generated information. New Media & Society, 14614448241293154. https://doi.org/10.1177/14614448241293154
- Papenmeier, A., Kern, D., Englebienne, G., & Seifert, C. (2022). It’s complicated: The relationship between user trust, model accuracy and explanations in AI. ACM Transactions on Computer-Human Interaction (TOCHI), 29(4), 1-33. https://doi.org/10.1145/3495013
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
- Pejić Bach, M., Topalović, A., & Turulja, L. (2023). Data mining usage in Italian SMEs: an integrated SEM-ANN approach. Central European Journal of Operations Research, 31(3), 941-973. https://doi.org/10.1007/s10100-022-00829-x
- Pejić-Bach, M., & Marić, J. (2025). Unlocking artificial intelligence for all: Navigating the complexities of the artificial intelligence digital divide. In Trust in Generative Artificial Intelligence (pp. 36-48). Routledge.
- Rust, R. T., & Oliver, R. L. (1994). Service quality: Insights and implications. Journal of Service Research, 7(1), 65–82.
- Seyoung, L. & Park, G. (2023.), Exploring the Impact of ChatGPT Literacy on User Satisfaction, The Mediating Role of User Motivations, Cyberpsychology, Behavior, and Social Networking, 26(12), 913-912. https://doi:10.1089/cyber.2023.0312
- Sharma, V., Goyal, M., & Malik, D. (2017). An intelligent behaviour shown by chatbot system. International Journal of New Technology and Research, 3(4), 52–54.
- Shevtsova, D., Ahmed, A., Boot, I., Sanges, C., Hudecek, M., Jacobs, J., … & Vrijhoef, H. (2024). Trust in and acceptance of artificial intelligence applications in medicine: mixed methods study. Jmir Human Factors, 11, e47031. https://doi.org/10.2196/47031
- Sindermann, C., Yang, H., Elhai, J., Yang, S., Quan, L., Li, M., … & Montag, C. (2022). Acceptance and fear of artificial intelligence: associations with personality in a German and a Chinese sample. Discover Psychology, 2(1). https://doi.org/10.1007/s44202-022-00020-y
- Singh, H. (2023). Deep learning 101: Beginners guide to neural network. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2021/03/basics-of-neural-network/
- Sotala, K. (2012). Advantages of artificial intelligences, uploads, and digital minds. International Journal of Machine Consciousness, 4(1), 275–291. https://doi.org/10.1142/S1793843012400161
- Uren, V., & Edwards, J. S. (2023). Technology readiness and the organizational journey towards AI adoption: An empirical study. International Journal of Information Management, 68, 102588. https://doi.org/10.1016/j.ijinfomgt.2022.102588
- Wang, A., Zhou, Y., Ma, H., Tang, X., Li, S., Pei, R., … & Piao, M. (2024). Preparing for aging: understanding middle-aged user acceptance of AI chatbots through the technology acceptance model. Digital Health, 10. https://doi.org/10.1177/20552076241284903
- Yegnanarayana, B. (1994). Artificial neural networks for pattern recognition. Sadhana, 19(2), 189–238. https://doi.org/10.1007/BF02811896
- Yiğitcanlar, T., Degirmenci, K., & Inkinen, T. (2022). Drivers behind the public perception of artificial intelligence: insights from major Australian cities. Ai & Society, 39(3), 833-853. https://doi.org/10.1007/s00146-022-01566-0
- York, T., Jenney, H., & Jones, G. (2020). Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography. BMJ Health & Care Informatics, 27(3), e100233. https://doi.org/10.1136/bmjhci-2020-100233
- Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302
- Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser‐Zikuda, M. (2023). Acceptance of artificial intelligence among pre-service teachers: a multigroup analysis. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00420-7