References
https://doi.org/10.1016/j.rcim.2024.102920
Search via ReFindit
Akyüz, İ., Polat, K., Bardak, S. & Ersen, N. (2024). Prediction of values of Borsa Istanbul forest, paper and printing index using machine learning methods. Bioresources, 19(3), 5141-5157. https://doi.org/10.15376/biores.19.3.5141-5157
Search via ReFindit
Baum, S. & Owe, A. (2023). Artificial intelligence needs environmental ethics. Ethics, Policy & Environment, 26(1), 139-143, https://doi.org/10.1080/21550085.2022.2076538
Search via ReFindit
Brunello, A., Fabris, G., Gasparetto, A., Montanari, A., Saccomanno, N., & Scalera, L. (2025). A survey on recent trends in robotics and artificial intelligence in the furniture industry. Robotics and Computer-Integrated Manufacturing, 93, 1-25.
Search via ReFindit
Camacho, J.M., Couce-Vieira, A., Arroyo, D., & Insua, D.R. (2025). A cybersecurity risk analysis framework for systems with artificial intelligence components. International Transactions in Operational Research https://doi.org/10.1111/itor.70049
Search via ReFindit
Carillo, M.R. (2020). Artificial intelligence: From ethics to law. Telecommunications Policy, 44(6), 101937 https://doi.org/10.1016/j.telpol.2020.101937
Search via ReFindit
Clark, Q.M., Kanavikar, D.B., Clark, J., & Donnelly, P.J. (2025). Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings. Frontiers in Artificial Intelligence, 7. http://doi.org/10.3389/frai.2024.1429477
Search via ReFindit
Corrigan, C.C. & Ikonnikova, S.A (2024). A review of the use of AI in the mining industry: Insights and ethical considerations for multi-objective optimisation. Extractive Industries and Society, 17. http://doi.org/10.1016/j.exis.2024.101440
Search via ReFindit
Dirican, C. (2015). The ımpacts of robotics, artificial ıntelligence on business and economics. Procedia - Social and Behavioral Sciences, 195, 564-573. http://doi.org/10.1016/j.sbspro.2015.06.134
Search via ReFindit
Dubauskas, G., & Išoraitė, M. (2025). Banking development peculiarities: blockchain, artificial intelligence (AI) and cybersecurity issues. Entrepreneurship and Sustainability Issues, 12(3), 61-72. https://doi.org/10.9770/x7965543644
Search via ReFindit
Enholm, I.M., Papagiannidis, E., Mikalef, P. & Krogstie, J. (2022). Artificial intelligence and business value: a literature review. Information System Frontiers, 24, 1709-1734. http://doi.org/10.1007/s10796-021-10186-w
Search via ReFindit
Fullmer, R., Davis, T., Costello, C. & Joerin, A. (2021). The Ethics of Psychological Artificial Intelligence: Clinical Considerations, Counseling and Values, 66(2), 131-144. . http://doi.org/10.1002/cvj.12153
Search via ReFindit
Galaz, V., Centeno, M., Callahan, P., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., McPhearson, T., Jimenez, D., King, B., Larcey, P., & Levy, K. (2021). Artificial intelligence, systemic risks, and sustainability. Technology in Society, 67. https://doi.org/10.1016/j.techsoc.2021.101741
Search via ReFindit
Gupta, S., Modgil, S., Lee, C.K., & Sivarajah, U. (2023). The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry. Information Systems Frontiers, 25(3), 1179-1195. http://doi.org/10.1007/s10796-022-10271-8
Search via ReFindit
in Pathology and Laboratory Medicine: Principles and Practice. Academic Pathology, 8. http://doi.org/10.1177/2374289521990784
Search via ReFindit
Iphofen, R., & Kritikos, M. (2021). Regulating artificial intelligence and robotics: ethics by design in a digital society. Contemporary Social Science, 16(2), 170-184. https://doi.org/10.1080/21582041.2018.1563803
Search via ReFindit
Jackson, B., Ye, Y., Crawfor, J., Becich, M., Roy, S., Botkin, J., Baca, M. & Pantanowitz, L. (2021). The Ethics of Artificial Intelligence
Search via ReFindit
Kaplan, A. & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37-50. http://doi.org/10.1016/j.bushor.2019.09.003
Search via ReFindit
Li, H., Lu, Z., Z. Z., & Tanasescu, C. (2025). How does artificial intelligence affect manufactiring firms’ energy intensity? Energy Economics, 141, 1-9. http://doi.org/10.1016/j.eneco.2024.108109
Search via ReFindit
Lopes, D. J. V., Bobadilha, G. & Grebner, K. M. (2020). A Fast and robust artificial ıntelligence tecqnique for wood knot detecetion. Bioresources, 15(4), 9351-9361. https://bioresources.cnr.ncsu.edu/resources/a-fast-and-robust-artificial-intelligence-technique-for-wood-knot-detection/
Search via ReFindit
López González, A., Moreno, M., Moreno Román, A. C., Hadfeg Fernández, Y., & Cepero Pérez, N. (2024). Ethics in Artificial Intelligence: an Approach to Cybersecurity. Inteligencia Artificial, 27(73), 38- 54. https://doi.org/10.4114/intartif.vol27iss73pp38-54
Search via ReFindit
Mabungela, A. B., Nyusani, S., & Mthalane, N. (2025). Impact of AI use on postgraduate students: a systematic review. Insights into Regional Development, 7(2), 158-170. https://doi.org/10.70132/z4973888974
Search via ReFindit
Moodaley, W., & Telukdarie, A. (2023). Greenwashing, sustainability reporting, and artificial intelligence: a systematic literature review. Sustainability, 15(2), 1481. https://doi.org/10.3390/su15021481
Search via ReFindit
Mugunzva, F. I., & Manchidi, N. H. (2024). Re-envisioning the artificial intelligence-entrepreneurship nexus: a pioneering synthesis and future pathways. Insights into Regional Development, 6(3), 71-84. https://doi.org/10.70132/k5546584395
Search via ReFindit
Mumali, F. (2022). Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review, Computers & Industrial Engineering, 165, 1-20. http://doi.org/10.1016/j.cie.2022.107964
Search via ReFindit
Na, S.G., Heo, S., Choi, W., Kim, C. & Whang, S.W. (2023). Artificial Intelligence (AI)-Based technology adoption in the construction industry: a cross national perspective using the technology acceptance model. Buildings, 13(10), http://doi.org/10.3390/buildings13102518
Search via ReFindit
Naghipour, M., Ling, L.S., & Connie, T. (2024). A Review of AI techniques in fruit detection and classification: analysing data, features and ai models used in agricultural industry. International Journal of Technology, 15(3), 585-596. http://doi.org/10.14716/ijtech.v15i3.6404
Search via ReFindit
Nazarenko, A.A., Zamiri, M., Sarraipa, J., Figueiras, P., Jardim-Goncalves, R., & Moalla, N. (2024). Integration of AI use cases in training to support industry 4.0. Journal of Advances in Information Technology, 15(3), 397-406. http://doi.org/10.12720/jait.15.3.397-406
Search via ReFindit
Ossa-Cardona, J.L (2024). Decision-making in the selection processes of managerial successors in business families and its influence with the use of cutting-edge technologies such as AI: a systematic review of the literature. Journal of Family Business Management, 15(2), 393-417. http://doi.org/10.1108/JFBM-08-2024-0186
Search via ReFindit
Pechová, J., Volfová, H., & Jírová, A. (2024). From interaction to integration: leveraging AI in enhancing team communication and task efficiency. Entrepreneurship and Sustainability Issues, 11(4), 276-292. https://doi.org/10.9770/jesi.2024.11.4(17)
Search via ReFindit
Sardar, A., Anantharaman, M., Garaniya, V., & Khan, F. (2023). Optimisation of Daily Operations in the Marine Industry Using Ant Colony Optimization (ACO)-An Artificial Intelligence (AI) Approach. Transnav-International Journal on Marine Navigation and Safety of Sea Transportation. 17(2), 289-295. http://doi.org/10.12716/1001.17.02.04
Search via ReFindit
Savulescu, J., Giubilini, A., Vandersluis, R. & Mishra, A. (2024). Ethics of artificial intelligence in medicine. Singapore Medical Journal, 65(3), 150-158. http://doi.org/10.4103/singaporemedj.SMJ-2023-279
Search via ReFindit
Sonntag, M., Mehmann, J., & Teuteberg, F (2023). Deriving trust-supporting design knowledge for AI-based chatbots in customer service: a use case from the automotive industry. Journal of Organizational Computing and Electronic Commerce, 33(3-4), 178-210. http://doi.org/10.1080/10919392.2023.2276631
Search via ReFindit
Terrones Rodríguez, A.L. (2022). Ética para la inteligencia artificial sostenible. Arbor, 198(806), a683. https://doi.org/10.3989/arbor.2022.806013
Search via ReFindit
Trstenjak, M., Opetuk, T., Dukic, G., & Cajner, H. (2025). Use of Artificial Intelligence (AI) in the Workplace Ergonomics of Industry 5.0. Tehnicki Glasnik-Technical Journal, 19(2), 335-340. http://doi.org/10.31803/tg-20250105140152
Search via ReFindit
Vaio, A. D., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. http://doi.org/10.1016/j.jbusres.2020.08.019
Search via ReFindit
Xin, W. (2025). The impact of corporate artificial intelligence on financial risk: Evidence from China. Financial Research Letters, 81, https://doi.org/10.1016/j.frl.2025.107435
Search via ReFindit
RSS 1.0
