References
- Abrardi, L., Cambini, C., Rondi, L. (2022). Artificial intelligence, firms and consumer behavior: A survey. Journal of Economic Surveys, 36, 969-991, DOI: 10.1111/joes.12455
- Aly, H. (2022). Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing?. Review of Economics and Political Science, 7(4), 238-256, DOI 10.1108/REPS-11-2019-0145
- Aydin, E., Rahman, M., Bulut, C., Biloslavo, R. (2024). Technological Advancements and Organizational Discrimination: The Dual Impact of Industry 5.0 on Migrant Workers. Administrative Sciences,14, 240, https://doi.org/10.3390/admsci14100240
- Kumar, V., Ashraf, A. R., Nadeem, W. (2024). AI-powered marketing: What, where, and how?. International Journal of Information Management, 77, 102783, https://doi.org/10.1016/j.ijinfomgt.2024.102783
- Liu, V., & Chilton, L. B. (2022). Design guidelines for prompt engineering text-to-image generative models. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–23, https://doi.org/10.1145/3491102.3501825
- Magni, F., Park, J., Chao, M.M. (2024). Humans as Creativity Gatekeepers: Are We Biased Against AI Creativity?. Journal of Business and Psychology, 39, 643–656, https://doi.org/10.1007/s10869-023-09910-x
- Noble, S. M., & Mende, M. (2023). The future of artificial intelligence and robotics in the retail and service sector: Sketching the field of consumer-robot-experiences. Journal of the Academy of Marketing Science, 51, 747–756. https://doi.org/10.1007/s11747-023-00948-0
- Oztas, M.E. (2024). Migrant Women in the UK’s Digital Economy: The Elimination of Labour Market Barriers in the Digital Labour Market. Social Sciences, 13(9), 494, https://doi.org/10.3390/socsci13090494
- Park, H., Choi, S.O. (2019), “Digital innovation adoption and its economic impact focused on path analysis at national level”, Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 56, https://doi.org/10.3390/joitmc5030056
- Schulte Steinberg, A.L., Hohenberger, C. (2023). Can AI close the gender gap in the job market? Individuals’ preferences for AI evaluations. Computers in Human Behavior Reports, 10, 100287, https://doi.org/10.1016/j.chbr.2023.100287
- European Commission. (n.d.). Artificial intelligence – Enterprises using AI technologies. Eurostat. Available at: https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ai/default/table?lang=en
- European Commission. (2024). DESI Indicators – ICT specialists (2024). Digital Economy and Society Index. Available at: https://digital-decade-desi.digital-strategy.ec.europa.eu/datasets/desi/charts/desi-indicators?period=desi_2024&indicator=desi_ict_spec&breakdown=total&unit=th_ind&country=AT,BE,BG,HR,CY,CZ,DK,EE,EU,FI,FR,DE,EL,HU,IE,IT,LV,LT,LU,MT,NL,PL,PT,RO,SK,SI,ES,SE
- European Commission. (2024). DESI Indicators – AI adoption in enterprises (2024). Digital Economy and Society Index. Available at: https://digital-decade-desi.digital-strategy.ec.europa.eu/datasets/desi/charts/desi-indicators?period=desi_2024&indicator=desi_ai&breakdown=ent_all_xfin&unit=pc_ent&country=AT,BE,BG,HR,CY,CZ,DK,EE,EU,FI,FR,DE,EL,HU,IE,IT,LV,LT,LU,MT,NL,PL,PT,RO,SK,SI,ES,SE
- Stanford Institute for Human-Centered Artificial Intelligence (HAI). (2024). AI Index Report 2024. Available at: https://hai.stanford.edu/ai-index/2024-ai-index-report