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From Idea to Impact: The Role of Artificial Intelligence in the Transformation of Business Models

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25 jun 2025

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Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-powered innovation in digital transformation: Key pillars and industry impact. Sustainability, 16(5), 1790.https://doi.org/10.3390/su16051790 Aldoseri A. Al-Khalifa K. N. Hamouda A. M. ( 2024 ). AI-powered innovation in digital transformation: Key pillars and industry impact . Sustainability , 16 ( 5 ), 1790 . https://doi.org/10.3390/su16051790 Search in Google Scholar

Balcerzak, A. P., & Valaskova, K. (2024). Artificial intelligence: Financial management under pressure of transformative technology. Equilibrium Quarterly Journal of Economics and Economic Policy, 19(4), 1127–1137.https://doi.org/10.24136/eq.3394 Balcerzak A. P. Valaskova K. ( 2024 ). Artificial intelligence: Financial management under pressure of transformative technology . Equilibrium Quarterly Journal of Economics and Economic Policy , 19 ( 4 ), 1127 1137 . https://doi.org/10.24136/eq.3394 Search in Google Scholar

Balcerzak, A. P., Nica, E., Rogalska, E., Poliak, M., Kliestik, T., & Sabie, O. (2022). Blockchain technology and smart contracts in decentralized governance systems. Administrative Sciences, 12 (3), 96.https://doi.org/10.3390/admsci12030096 Balcerzak A. P. Nica E. Rogalska E. Poliak M. Kliestik T. Sabie O. ( 2022 ). Blockchain technology and smart contracts in decentralized governance systems . Administrative Sciences , 12 ( 3 ), 96 . https://doi.org/10.3390/admsci12030096 Search in Google Scholar

Barker, M. (2023). Artificial intelligence-based Internet of manufacturing things systems, digital twin data modeling and visualization tools, and multi-sensory extended reality and geospatial mapping technologies in the immersive industrial metaverse. Economics, Management, and Financial Markets, 18(1), 41-56. https://doi.org/10.22381/EMFM18120233 Barker M. ( 2023 ). Artificial intelligence-based Internet of manufacturing things systems, digital twin data modeling and visualization tools, and multi-sensory extended reality and geospatial mapping technologies in the immersive industrial metaverse . Economics, Management, and Financial Markets , 18 ( 1 ), 41 - 56 . https://doi.org/10.22381/EMFM18120233 Search in Google Scholar

Brem, A., Giones, F., & Werle, M. (2021). The AI digital revolution in innovation: A conceptual framework of Artificial intelligence technologies for the management of innovation. IEEE Transactions on Engineering Management, 70(2), 770–776.https://doi.org/10.1109/tem.2021.3109983 Brem A. Giones F. Werle M. ( 2021 ). The AI digital revolution in innovation: A conceptual framework of Artificial intelligence technologies for the management of innovation . IEEE Transactions on Engineering Management , 70 ( 2 ), 770 776 . https://doi.org/10.1109/tem.2021.3109983 Search in Google Scholar

Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science, 355(6370), 1530–1534. https://doi.org/10.1126/science.aap8062 Brynjolfsson E. Mitchell T. ( 2017 ). What can machine learning do? Workforce implications . Science , 355 ( 6370 ), 1530 1534 . https://doi.org/10.1126/science.aap8062 Search in Google Scholar

Carayannis, E. G., Dumitrescu, R., Falkowski, T., Papamichail, G., & Zota, N. R. (2025). Enhancing SME resilience through artificial intelligence and strategic foresight: A framework for sustainable competitiveness. Technology in Society, 51, 102835.https://doi.org/10.1016/j.techsoc.2025.102835 Carayannis E. G. Dumitrescu R. Falkowski T. Papamichail G. Zota N. R. ( 2025 ). Enhancing SME resilience through artificial intelligence and strategic foresight: A framework for sustainable competitiveness . Technology in Society , 51 , 102835 . https://doi.org/10.1016/j.techsoc.2025.102835 Search in Google Scholar

Carter, M., & Carter, C. (2020). The creative business model Canvas. Social Enterprise Journal, 16 (2), 141–158.https://doi.org/10.1108/sej-03-2019-0018 Carter M. Carter C. ( 2020 ). The creative business model Canvas . Social Enterprise Journal , 16 ( 2 ), 141 158 . https://doi.org/10.1108/sej-03-2019-0018 Search in Google Scholar

CB Insights. (2024). Median valuations for artificial intelligence (AI) and non-AI startups worldwide in 2023, by stage (in million U.S. dollars). https://www.statista.com/statistics/1446293/median-valuations-ai-startups-by-stage/ CB Insights ( 2024 ). Median valuations for artificial intelligence (AI) and non-AI startups worldwide in 2023, by stage (in million U.S. dollars) . https://www.statista.com/statistics/1446293/median-valuations-ai-startups-by-stage/ Search in Google Scholar

Climent, R. C., Haftor, D. M., & Staniewski, M. W. (2024). AI-enabled business models for competitive advantage. Journal of Innovation & Knowledge, 9(3), 100532.https://doi.org/10.1016/j.jik.2024.100532 Climent R. C. Haftor D. M. Staniewski M. W. ( 2024 ). AI-enabled business models for competitive advantage . Journal of Innovation & Knowledge , 9 ( 3 ), 100532 . https://doi.org/10.1016/j.jik.2024.100532 Search in Google Scholar

Consuegra, L. C., Vasquez, P. a. M., & Perez, A. M. M. (2023). Algoritmos de inteligencia artificial basada en perfiles socio conductuales para la segmentación inteligente de clientes: Estudio de caso. Ingeniería Y Competitividad,25(3). https://doi.org/10.25100/iyc.v25i3.12658 Consuegra L. C. Vasquez P. a. M. Perez A. M. M. ( 2023 ). Algoritmos de inteligencia artificial basada en perfiles socio conductuales para la segmentación inteligente de clientes: Estudio de caso . Ingeniería Y Competitividad , 25 ( 3 ). https://doi.org/10.25100/iyc.v25i3.12658 Search in Google Scholar

Dabija, D. C., & Vătămănescu, E. (2023). Artificial intelligence: The future is already here. Oeconomia Copernicana, 14(4), 1053–1056. https://doi.org/10.24136/oc.2023.031 Dabija D. C. Vătămănescu E. ( 2023 ). Artificial intelligence: The future is already here . Oeconomia Copernicana , 14 ( 4 ), 1053 1056 . https://doi.org/10.24136/oc.2023.031 Search in Google Scholar

De Vasconcelos Gomes, L. A., Farago, F. E., Facin, A. L. F., Flechas, X. A., & Silva, L. E. N. (2023). From open business model to ecosystem business model: A processes view. Technological Forecasting and Social Change, 194, 122668.https:ZZdoi.org/10.1016Zj.techfore.2023.122668 De Vasconcelos Gomes L. A. Farago F. E. Facin A. L. F. Flechas X. A. Silva L. E. N. ( 2023 ). From open business model to ecosystem business model: A processes view . Technological Forecasting and Social Change , 194 , 122668 . https:ZZdoi.org/10.1016Zj.techfore.2023.122668 Search in Google Scholar

Deligianni, I., Voudouris, I., Spanos, Y., & Lioukas, S. (2019). Non-linear effects of technological competence on product innovation in new technology-based firms: Resource orchestration and the role of the entrepreneur’s political competence and prior start-up experience. Technovation, 88, 102076.https://doi.org/10.1016/j.technovation2019.05.002 Deligianni I. Voudouris I. Spanos Y. Lioukas S. ( 2019 ). Non-linear effects of technological competence on product innovation in new technology-based firms: Resource orchestration and the role of the entrepreneur’s political competence and prior start-up experience . Technovation , 88 , 102076 . https://doi.org/10.1016/j.technovation2019.05.002 Search in Google Scholar

Dokumacı, M. (2024). Legal frameworks for AI regulations. Human Computer Interaction., 8 (1), 133.https://doi.org/10.62802/ytst2927 Dokumacı M. ( 2024 ). Legal frameworks for AI regulations . Human Computer Interaction. , 8 ( 1 ), 133 . https://doi.org/10.62802/ytst2927 Search in Google Scholar

Fakieh, B., Al-Ghamdi, A. S. A., & Ragab, M. (2022). The effect of utilizing business model canvas on the satisfaction of operating electronic business. Complexity, 2022(1).https://doi.org/10.1155/2022/1649160 Fakieh B. Al-Ghamdi A. S. A. Ragab M. ( 2022 ). The effect of utilizing business model canvas on the satisfaction of operating electronic business . Complexity , 2022 ( 1 ). https://doi.org/10.1155/2022/1649160 Search in Google Scholar

Farahani, M. S., & Esfahani, A. (2022). Opportunities and challenges of applying artificial intelligence in the financial sectors and startups during the coronavirus outbreak. International Journal of Innovation in Management Economics and Social Sciences, 2(4), 33–55.https://doi.org/10.52547/ijimes.2.4.33 Farahani M. S. Esfahani A. ( 2022 ). Opportunities and challenges of applying artificial intelligence in the financial sectors and startups during the coronavirus outbreak . International Journal of Innovation in Management Economics and Social Sciences , 2 ( 4 ), 33 55 . https://doi.org/10.52547/ijimes.2.4.33 Search in Google Scholar

Fu, D., Jenkinson, T., & Rauch, C. (2022). How do financial contracts evolve for new ventures? Journal of Corporate Finance, 81, 102222. https://doi.org/10.1016/j.jcorpfin.2022.102222 Fu D. Jenkinson T. Rauch C. ( 2022 ). How do financial contracts evolve for new ventures? Journal of Corporate Finance , 81 , 102222 . https://doi.org/10.1016/j.jcorpfin.2022.102222 Search in Google Scholar

Gambardella, A., & McGahan, A. M. (2009). Business-model innovation: General purpose technologies and their implications for industry structure. Long Range Planning, 43(2–3), 262–271.https://doi.Org/10.1016/j.lrp.2009.07.009 Gambardella A. McGahan A. M. ( 2009 ). Business-model innovation: General purpose technologies and their implications for industry structure . Long Range Planning , 43 ( 2–3 ), 262 271 . https://doi.Org/10.1016/j.lrp.2009.07.009 Search in Google Scholar

Gentsch, P. (2019). AI in marketing, sales and service: How marketers without a data science degree can use AI, big data and bots. Springer.https://doi.org/10.1007/978-3-319-89957-2 Gentsch P. ( 2019 ). AI in marketing, sales and service: How marketers without a data science degree can use AI, big data and bots . Springer . https://doi.org/10.1007/978-3-319-89957-2 Search in Google Scholar

Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660.https://doi.org/10.5465/annals.2018.0057 Glikson E. Woolley A. W. ( 2020 ). Human trust in artificial intelligence: Review of empirical research . Academy of Management Annals , 14 ( 2 ), 627 660 . https://doi.org/10.5465/annals.2018.0057 Search in Google Scholar

Gültekin, D. G., Pinarbasi, F., Yazici, M., & Adiguzel, Z. (2024). Commercialisation of artificial intelligence: A research on entrepreneurial companies with challenges and opportunities. Business Process Management Journal, 31(2), 605–630. https://doi.org/10.1108/bpmj-10-2023-0836 Gültekin D. G. Pinarbasi F. Yazici M. Adiguzel Z. ( 2024 ). Commercialisation of artificial intelligence: A research on entrepreneurial companies with challenges and opportunities . Business Process Management Journal , 31 ( 2 ), 605 630 . https://doi.org/10.1108/bpmj-10-2023-0836 Search in Google Scholar

Hartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2016). Capturing value from big data – a taxonomy of data-driven business models used by start-up firms. International Journal of Operations & Production Management, 36(10), 1382–1406.https://doi.org/10.1108/ijopm-02-2014-0098 Hartmann P. M. Zaki M. Feldmann N. Neely A. ( 2016 ). Capturing value from big data a taxonomy of data-driven business models used by start-up firms . International Journal of Operations & Production Management , 36 ( 10 ), 1382 1406 . https://doi.org/10.1108/ijopm-02-2014-0098 Search in Google Scholar

Hossain, M. A., Akter, S., Yanamandram, V., & Wamba, S. F. (2023). Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations. Technological Forecasting and Social Change, 194, 122745.https://doi.org/10.1016/j.techfore.2023.122745 Hossain M. A. Akter S. Yanamandram V. Wamba S. F. ( 2023 ). Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations . Technological Forecasting and Social Change , 194 , 122745 . https://doi.org/10.1016/j.techfore.2023.122745 Search in Google Scholar

Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2022). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456.https://doi.org/10.1016Zj.eswa.2022.119456 Jan Z. Ahamed F. Mayer W. Patel N. Grossmann G. Stumptner M. Kuusk A. ( 2022 ). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities . Expert Systems with Applications , 216 , 119456 . https://doi.org/10.1016Zj.eswa.2022.119456 Search in Google Scholar

Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1).https://doi.org/10.1007/s44163-022-00022-8 Jiang Y. Li X. Luo H. Yin S. Kaynak O. ( 2022 ). Quo vadis artificial intelligence? Discover Artificial Intelligence , 2 ( 1 ). https://doi.org/10.1007/s44163-022-00022-8 Search in Google Scholar

Jin, Y., Ji, S., Liu, L., & Wang, W. (2021). Business model innovation canvas: A visual business model innovation model. European Journal of Innovation Management, 25(5), 1469–1493.https://doi.org/10.1108/ejim-02-2021-0079 Jin Y. Ji S. Liu L. Wang W. ( 2021 ). Business model innovation canvas: A visual business model innovation model . European Journal of Innovation Management , 25 ( 5 ), 1469 1493 . https://doi.org/10.1108/ejim-02-2021-0079 Search in Google Scholar

Kaggwa, S., Eleogu, T. F., Okonkwo, F., Farayola, O. A., Uwaoma, P. U., & Akinoso, A. (2024). AI in decision making: Transforming business strategies. International Journal of Research and Scientific Innovation, 10(12), 423–444. https://doi.org/10.51244/ijrsi.2023.1012032 Kaggwa S. Eleogu T. F. Okonkwo F. Farayola O. A. Uwaoma P. U. Akinoso A. ( 2024 ). AI in decision making: Transforming business strategies . International Journal of Research and Scientific Innovation , 10 ( 12 ), 423 444 . https://doi.org/10.51244/ijrsi.2023.1012032 Search in Google Scholar

Kaplan, A., & Haenlein, M. (2018). 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 Kaplan A. Haenlein M. ( 2018 ). 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 Search in Google Scholar

Kellogg, K. C., Valentine, M. A., & Christin, A. (2019). Algorithms at work: the new contested terrain of control. Academy of Management Annals, 14(1), 366–410.https://doi.org/10.5465/annals.2018.0174 Kellogg K. C. Valentine M. A. Christin A. ( 2019 ). Algorithms at work: the new contested terrain of control . Academy of Management Annals , 14 ( 1 ), 366 410 . https://doi.org/10.5465/annals.2018.0174 Search in Google Scholar

Kerzel, U. (2020). Enterprise AI canvas integrating artificial intelligence into business. Applied Artificial Intelligence, 35 (1), 1–12.https://doi.org/10.1080/08839514.2020.1826146 Kerzel U. ( 2020 ). Enterprise AI canvas integrating artificial intelligence into business . Applied Artificial Intelligence , 35 ( 1 ), 1 12 . https://doi.org/10.1080/08839514.2020.1826146 Search in Google Scholar

Khan, I. U., Taherdoost, H., Madanchian, M., Ouaissa, M., Hajjami, S. E., & Rahman, H. (2024). Future tech startups and innovation in the age of AI (1st ed.). CRC Press. https://doi.org/10.1201/9781032715957 Khan I. U. Taherdoost H. Madanchian M. Ouaissa M. Hajjami S. E. Rahman H. ( 2024 ). Future tech startups and innovation in the age of AI ( 1st ed.). CRC Press . https://doi.org/10.1201/9781032715957 Search in Google Scholar

Kliestik, T., Kral, P., Bugaj, M., & Durana, P. (2024). Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse. Equilibrium Quarterly Journal of Economics and Economic Policy, 19(2), 429–461.https://doi.org/10.24136/eq.3108 Kliestik T. Kral P. Bugaj M. Durana P. ( 2024 ). Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse . Equilibrium Quarterly Journal of Economics and Economic Policy , 19 ( 2 ), 429 461 . https://doi.org/10.24136/eq.3108 Search in Google Scholar

Kuteesa, N. K. N., Akpuokwe, N. C. U., & Udeh, N. C. A. (2024). Navigating the digital transformation journey: Strategies for startup growth and innovation in the digital era. International Journal of Scholarly Research in Multidisciplinary Studies, 4(2), 038–053.https://doi.org/10.56781/ijsrms.2024.4.2.0031 Kuteesa N. K. N. Akpuokwe N. C. U. Udeh N. C. A. ( 2024 ). Navigating the digital transformation journey: Strategies for startup growth and innovation in the digital era . International Journal of Scholarly Research in Multidisciplinary Studies , 4 ( 2 ), 038 053 . https://doi.org/10.56781/ijsrms.2024.4.2.0031 Search in Google Scholar

Lee, B., Kim, B., & Ivan, U. V. (2023). Enhancing the competitiveness of AI technology-based startups in the digital era. Administrative Sciences, 14(1), 6. https://doi.org/10.3390/admsci14010006 Lee B. Kim B. Ivan U. V. ( 2023 ). Enhancing the competitiveness of AI technology-based startups in the digital era . Administrative Sciences , 14 ( 1 ), 6 . https://doi.org/10.3390/admsci14010006 Search in Google Scholar

Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Kroll, E. B. (2020). Brave new world? On AI and the management of customer relationships. Journal of Interactive Marketing, 51 (1), 44–56.https://doi.org/10.1016/j.intmar.2020.04.002 Libai B. Bart Y. Gensler S. Hofacker C. F. Kaplan A. Kötterheinrich K. Kroll E. B. ( 2020 ). Brave new world? On AI and the management of customer relationships . Journal of Interactive Marketing , 51 ( 1 ), 44 56 . https://doi.org/10.1016/j.intmar.2020.04.002 Search in Google Scholar

Macha-Huamán, R., Zavala-Zavala, O. M., Soto, F. C. N., Suárez, J. S. Z., Castañeda, D. R. Y., Lucar, R. G. C., Jibaja, L. C., Mejía, P. J. C., Montoya, C. M. S., Casco, R. J. E., & Romero-Carazas, R. (2023). Business model canvas in the entrepreneurs’ business model: A system approach. ICST Transactions on Scalable Information Systems, 10(5), 1–9. https://doi.org/10.4108/eetsis.3594 Macha-Huamán R. Zavala-Zavala O. M. Soto F. C. N. Suárez J. S. Z. Castañeda D. R. Y. Lucar R. G. C. Jibaja L. C. Mejía P. J. C. Montoya C. M. S. Casco R. J. E. Romero-Carazas R. ( 2023 ). Business model canvas in the entrepreneurs’ business model: A system approach . ICST Transactions on Scalable Information Systems , 10 ( 5 ), 1 9 . https://doi.org/10.4108/eetsis.3594 Search in Google Scholar

Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262–273. https://doi.org/10.1016/j.jbusres.2020.07.045 Makarius E. E. Mukherjee D. Fox J. D. Fox A. K. ( 2020 ). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization . Journal of Business Research , 120 , 262 273 . https://doi.org/10.1016/j.jbusres.2020.07.045 Search in Google Scholar

Mao, H., Zhang, T., & Tang, Q. (2021). Research framework for determining how artificial intelligence enables information technology service management for business model resilience. Sustainability, 13(20), 11496. https://doi.org/10.3390/su132011496 Mao H. Zhang T. Tang Q. ( 2021 ). Research framework for determining how artificial intelligence enables information technology service management for business model resilience . Sustainability , 13 ( 20 ), 11496 . https://doi.org/10.3390/su132011496 Search in Google Scholar

Martinović, M., Barać, R., & Maljak, H. (2024). Exploring Croatian consumer adoption of subscription-based e-commerce for business innovation. Administrative Sciences, 14 (7), 149.https://doi.org/10.3390/admsci14070149 Martinović M. Barać R. Maljak H. ( 2024 ). Exploring Croatian consumer adoption of subscription-based e-commerce for business innovation . Administrative Sciences , 14 ( 7 ), 149 . https://doi.org/10.3390/admsci14070149 Search in Google Scholar

Metzker, Z. (2024). Selected demographic determinants of CSR, financial & environmental management and business ethics in SMEs. Deleted Journal, 2(1), 79–88.https://doi.org/10.62222/fend1256 Metzker Z. ( 2024 ). Selected demographic determinants of CSR, financial & environmental management and business ethics in SMEs . Deleted Journal , 2 ( 1 ), 79 88 . https://doi.org/10.62222/fend1256 Search in Google Scholar

Mohammadi, N., & Shafiee, M. (2022). Predicting the success of seed-stage startups to enter the acceleration program and receive seed money. International Journal of Entrepreneurial Venturing, 14(2), 168.https://doi.org/10.1504/ijev.2022.122654 Mohammadi N. Shafiee M. ( 2022 ). Predicting the success of seed-stage startups to enter the acceleration program and receive seed money . International Journal of Entrepreneurial Venturing , 14 ( 2 ), 168 . https://doi.org/10.1504/ijev.2022.122654 Search in Google Scholar

Murray, A., & Scuotto, V. (2016). The business model canvas. Symphonya Emerging Issues in Management, 3, 94–109.https://doi.org/10.4468/2015.3.13murray.scuotto Murray A. Scuotto V. ( 2016 ). The business model canvas . Symphonya Emerging Issues in Management , 3 , 94 109 . https://doi.org/10.4468/2015.3.13murray.scuotto Search in Google Scholar

Musch, S., Borrelli, M. C., & Kerrigan, C. (2024). Bridging compliance and innovation: A comparative analysis of the EU AI Act and GDPR for enhanced organisational strategy. Journal of Data Protection & Privacy, 7(1), 14. https://doi.org/10.69554/fwhu3837 Musch S. Borrelli M. C. Kerrigan C. ( 2024 ). Bridging compliance and innovation: A comparative analysis of the EU AI Act and GDPR for enhanced organisational strategy . Journal of Data Protection & Privacy , 7 ( 1 ), 14 . https://doi.org/10.69554/fwhu3837 Search in Google Scholar

Nagy, M., Figura, M., Valaskova, K., & Lăzăroiu, G. (2025). Predictive maintenance algorithms, artificial intelligence digital twin technologies, and internet of robotic things in big data-driven industry 4.0 manufacturing systems. Mathematics, 13(6), 981.https://doi.org/10.3390/math13060981 Nagy M. Figura M. Valaskova K. Lăzăroiu G. ( 2025 ). Predictive maintenance algorithms, artificial intelligence digital twin technologies, and internet of robotic things in big data-driven industry 4.0 manufacturing systems . Mathematics , 13 ( 6 ), 981 . https://doi.org/10.3390/math13060981 Search in Google Scholar

Nagy, M., Lăzăroiu, G., & Valaskova, K. (2023). Machine intelligence and autonomous robotic technologies in the corporate context of SMES: Deep learning and virtual simulation algorithms, cyber-physical production networks, and industry 4.0-based manufacturing systems. Applied Sciences, 13(3), 1681. https://doi.org/10.3390/app13031681 Nagy M. Lăzăroiu G. Valaskova K. ( 2023 ). Machine intelligence and autonomous robotic technologies in the corporate context of SMES: Deep learning and virtual simulation algorithms, cyber-physical production networks, and industry 4.0-based manufacturing systems . Applied Sciences , 13 ( 3 ), 1681 . https://doi.org/10.3390/app13031681 Search in Google Scholar

Ozay, D., Jahanbakht, M., Shoomal, A., & Wang, S. (2024). Artificial intelligence (AI)-based customer relationship management (CRM): A comprehensive bibliometric and systematic literature review with outlook on future research. Enterprise Information Systems, 18(7).https://doi.org/10.1080/17517575.2024.2351869 Ozay D. Jahanbakht M. Shoomal A. Wang S. ( 2024 ). Artificial intelligence (AI)-based customer relationship management (CRM): A comprehensive bibliometric and systematic literature review with outlook on future research . Enterprise Information Systems , 18 ( 7 ). https://doi.org/10.1080/17517575.2024.2351869 Search in Google Scholar

Piotrowski, D., & Orzeszko, W. (2023). Artificial intelligence and customers’ intention to use robo-advisory in banking services. Equilibrium Quarterly Journal of Economics and Economic Policy, 18(4), 967–1007.https://doi.org/10.24136/eq.2023.031 Piotrowski D. Orzeszko W. ( 2023 ). Artificial intelligence and customers’ intention to use robo-advisory in banking services . Equilibrium Quarterly Journal of Economics and Economic Policy , 18 ( 4 ), 967 1007 . https://doi.org/10.24136/eq.2023.031 Search in Google Scholar

Purwanto, A. N. I., Fauzan, M., Widya, T., & Azzaky, N. S. (2024). Ethical Implications and challenges of AI implementation in business operations. Techcomp Innovations, 1(2), 68–82.https://doi.org/10.70063/techcompinnovations.v1i2.52 Purwanto A. N. I. Fauzan M. Widya T. Azzaky N. S. ( 2024 ). Ethical Implications and challenges of AI implementation in business operations . Techcomp Innovations , 1 ( 2 ), 68 82 . https://doi.org/10.70063/techcompinnovations.v1i2.52 Search in Google Scholar

Rahim, M. J., Afroz, A., & Akinola, O. (2025). Predictive analytics in healthcare: big data, better decisions. International Journal of Scientific Research and Modern Technology, 4 (1), 1-21.https://doi.org/10.5281/zenodo.14630840 Rahim M. J. Afroz A. Akinola O. ( 2025 ). Predictive analytics in healthcare: big data, better decisions . International Journal of Scientific Research and Modern Technology , 4 ( 1 ), 1 - 21 . https://doi.org/10.5281/zenodo.14630840 Search in Google Scholar

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210.https://doi.org/10.5465/amr.2018.0072 Raisch S. Krakowski S. ( 2021 ). Artificial intelligence and management: The automation–augmentation paradox . Academy of Management Review , 46 ( 1 ), 192 210 . https://doi.org/10.5465/amr.2018.0072 Search in Google Scholar

Riedl, R. (2022). Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions. Electronic Markets, 32(4), 2021–2051.https://doi.org/10.1007/s12525-022-00594-4 Riedl R. ( 2022 ). Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions . Electronic Markets , 32 ( 4 ), 2021 2051 . https://doi.org/10.1007/s12525-022-00594-4 Search in Google Scholar

Rios-Campos, C., Zambrano, E. O. G., Vargas, D. J. C., Merino, L. a. A., Vallejos, P. a. A., Alcantara, I. M. B., Rubio, D. E. D., Rodriguez, D. S., Tomanguilla, J. H., & Calderón, E. V. (2024). Startups and artificial intelligence. South Florida Journal of Development, 5(2), 950–969.https://doi.org/10.46932/sfjdv5n2-042 Rios-Campos C. Zambrano E. O. G. Vargas D. J. C. Merino L. a. A. Vallejos P. a. A. Alcantara I. M. B. Rubio D. E. D. Rodriguez D. S. Tomanguilla J. H. Calderón E. V. ( 2024 ). Startups and artificial intelligence . South Florida Journal of Development , 5 ( 2 ), 950 969 . https://doi.org/10.46932/sfjdv5n2-042 Search in Google Scholar

Salwin, M., Jacyna-Gołda, I., Kraslawski, A., & Waszkiewicz, A. E. (2022). The use of business model canvas in the design and classification of product-service systems design methods. Sustainability, 14(7), 4283.https://doi.org/10.3390/su14074283 Salwin M. Jacyna-Gołda I. Kraslawski A. Waszkiewicz A. E. ( 2022 ). The use of business model canvas in the design and classification of product-service systems design methods . Sustainability , 14 ( 7 ), 42 83 . https://doi.org/10.3390/su14074283 Search in Google Scholar

Sarma, M., Senaratne, C., & Matheus, T. (2023). Challenges and opportunities of ethical AI and digital technology use in emerging economies. In M. Findlay, L. M. Ong & W. Zhang (Eds.), Elgar Companion to Regulating AI and Big Data in Emerging Economies (pp. 42–58). Edward Elgar Publishing.https://doi.org/10.4337/9781785362408.00009 Sarma M. Senaratne C. Matheus T. ( 2023 ). Challenges and opportunities of ethical AI and digital technology use in emerging economies . In M. Findlay L. M. Ong W. Zhang (Eds.), Elgar Companion to Regulating AI and Big Data in Emerging Economies (pp. 42 58 ). Edward Elgar Publishing . https://doi.org/10.4337/9781785362408.00009 Search in Google Scholar

Selvakumar, P., Shanthi, M., Pitchiah, R., Sharma, M., Dahake, P. S., & T. C., M. (2025). The Role of Artificial Intelligence in Business Model Innovation: Overview of AI Technologies. In M. Khokhar (Ed.), AI-Driven Business Model Innovation (pp. 219-246). IGI Global Scientific Publishing.https://doi.org/10.4018/979-8-3693-9571-4.ch009 Selvakumar P. Shanthi M. Pitchiah R. Sharma M. Dahake P. S. T. C., M. ( 2025 ). The Role of Artificial Intelligence in Business Model Innovation: Overview of AI Technologies . In M. Khokhar (Ed.), AI-Driven Business Model Innovation (pp. 219 - 246 ). IGI Global Scientific Publishing . https://doi.org/10.4018/979-8-3693-9571-4.ch009 Search in Google Scholar

Sestino, A., & De Mauro, A. (2021). Leveraging artificial intelligence in business: implications, applications and methods. Technology Analysis and Strategic Management, 34(1), 16–29.https://doi.org/10.1080/09537325.2021.1883583 Sestino A. De Mauro A. ( 2021 ). Leveraging artificial intelligence in business: implications, applications and methods . Technology Analysis and Strategic Management , 34 ( 1 ), 16 29 . https://doi.org/10.1080/09537325.2021.1883583 Search in Google Scholar

Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574–587.https://doi.org/10.1016/j.jbusres.2021.05.009 Sjödin D. Parida V. Palmié M. Wincent J. ( 2021 ). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops . Journal of Business Research , 134 , 574 587 . https://doi.org/10.1016/j.jbusres.2021.05.009 Search in Google Scholar

Smuha, N. A. (2021). From a ‘race to AI’ to a ‘race to AI regulation’: regulatory competition for artificial intelligence. Law Innovation and Technology, 13(1), 57–84.https://doi.org/10.1080/17579961.2021.1898300 Smuha N. A. ( 2021 ). From a ‘race to AI’ to a ‘race to AI regulation’: regulatory competition for artificial intelligence . Law Innovation and Technology , 13 ( 1 ), 57 84 . https://doi.org/10.1080/17579961.2021.1898300 Search in Google Scholar

Song, X., & Bonanni, C. (2024). AI-driven business model: How AI-powered try-on technology is refining the luxury shopping experience and customer satisfaction. Journal of Theoretical and Applied Electronic Commerce Research, 19(4), 3067–3087.https://doi.org/10.3390/jtaer19040148 Song X. Bonanni C. ( 2024 ). AI-driven business model: How AI-powered try-on technology is refining the luxury shopping experience and customer satisfaction . Journal of Theoretical and Applied Electronic Commerce Research , 19 ( 4 ), 3067 3087 . https://doi.org/10.3390/jtaer19040148 Search in Google Scholar

Soussi, A., Zero, E., Sacile, R., Trinchero, D., & Fossa, M. (2024). Smart sensors and smart data for precision agriculture: A review. Sensors, 24(8), 2647.https://doi.org/10.3390/s24082647 Soussi A. Zero E. Sacile R. Trinchero D. Fossa M. ( 2024 ). Smart sensors and smart data for precision agriculture: A review . Sensors , 24 ( 8 ), 2647 . https://doi.org/10.3390/s24082647 Search in Google Scholar

Stork, S., Morgenstern, R., Pölling, B., & Feil, J. (2023). Holistic business model conceptualisation—capturing sustainability contributions illustrated by nature-based solutions. Sustainability, 15(19), 14091.https://doi.org/10.3390/su151914091 Stork S. Morgenstern R. Pölling B. Feil J. ( 2023 ). Holistic business model conceptualisation—capturing sustainability contributions illustrated by nature-based solutions . Sustainability , 15 ( 19 ), 14091 . https://doi.org/10.3390/su151914091 Search in Google Scholar

Svobodova, Z., Vecerova, V., Redlichova, R., & Somerlikova, K. (2024). Evaluation of the performance of SMEs in the context of regional development. Deleted Journal, 2(1), 47–60.https://doi.org/10.62222/riox8892 Svobodova Z. Vecerova V. Redlichova R. Somerlikova K. ( 2024 ). Evaluation of the performance of SMEs in the context of regional development . Deleted Journal , 2 ( 1 ), 47 60 . https://doi.org/10.62222/riox8892 Search in Google Scholar

Tang, X., Du, S., & Deng, W. (2025). Business innovation in digital startups: A case study of an AI startup. International Review of Economics & Finance, 98, 103898.https://doi.org/10.1016/j.iref.2025.103898 Tang X. Du S. Deng W. ( 2025 ). Business innovation in digital startups: A case study of an AI startup . International Review of Economics & Finance , 98 , 103898 . https://doi.org/10.1016/j.iref.2025.103898 Search in Google Scholar

Tani, M., Muto, V., Basile, G., & Nevi, G. (2025). A bibliometric analysis to study the evolution of artificial intelligence in business ethics. Business Ethics the Environment & Responsibility.https://doi.org/10.1111/beer.12797 Tani M. Muto V. Basile G. Nevi G. ( 2025 ). A bibliometric analysis to study the evolution of artificial intelligence in business ethics . Business Ethics the Environment & Responsibility . https://doi.org/10.1111/beer.12797 Search in Google Scholar

Ting, D. S., Peng, L., Varadarajan, A. V., Keane, P. A., Burlina, P. M., Chiang, M. F., Schmetterer, L., Pasquale, L. R., Bressler, N. M., Webster, D. R., Abramoff, M., & Wong, T. Y. (2019). Deep learning in ophthalmology: The technical and clinical considerations. Progress in Retinal and Eye Research, 72, 100759.https://doi.org/10.1016/j.preteyeres.2019.04.003 Ting D. S. Peng L. Varadarajan A. V. Keane P. A. Burlina P. M. Chiang M. F. Schmetterer L. Pasquale L. R. Bressler N. M. Webster D. R. Abramoff M. Wong T. Y. ( 2019 ). Deep learning in ophthalmology: The technical and clinical considerations . Progress in Retinal and Eye Research , 72 , 100759 . https://doi.org/10.1016/j.preteyeres.2019.04.003 Search in Google Scholar

Vasenska, I. P. (2024). Economic implications of deep machine learning for tourism time series forecasting. Ekonomicko-manažerske Spektrum, 18(1), 90-101. https://doi.org/10.26552/ems.2024.1.90–101 Vasenska I. P. ( 2024 ). Economic implications of deep machine learning for tourism time series forecasting . Ekonomicko-manažerske Spektrum , 18 ( 1 ), 90 101 . https://doi.org/10.26552/ems.2024.1.90-101 Search in Google Scholar

Wang, Q., Zhang, F., & Li, R. (2024). Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage. Sustainable Development, 33(1), 1136–1156.https://doi.org/10.1002/sd.3150 Wang Q. Zhang F. Li R. ( 2024 ). Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage . Sustainable Development , 33 ( 1 ), 1136 1156 . https://doi.org/10.1002/sd.3150 Search in Google Scholar

Winecoff, A. A., & Watkins, E. A. (2022). Artificial concepts of artificial intelligence: Institutional compliance and resistance in AI startups. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘22) (pp. 788–799). ACM.https://doi.org/10.1145/3514094.3534138 Winecoff A. A. Watkins E. A. ( 2022 ). Artificial concepts of artificial intelligence: Institutional compliance and resistance in AI startups . In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘22) (pp. 788 799 ). ACM . https://doi.org/10.1145/3514094.3534138 Search in Google Scholar

Wu, W., & Liu, S. (2023). Dilemma of the artificial intelligence regulatory landscape. Communications of the ACM, 66(9), 28–31. https://doi.org/10.1145/3584665 Wu W. Liu S. ( 2023 ). Dilemma of the artificial intelligence regulatory landscape . Communications of the ACM , 66 ( 9 ), 28 31 . https://doi.org/10.1145/3584665 Search in Google Scholar

Xie, X., Han, Y., Anderson, A., & Ribeiro-Navarrete, S. (2022). Digital platforms and SMEs’ business model innovation: Exploring the mediating mechanisms of capability reconfiguration. International Journal of Information Management, 65, 102513.https://doi.org/10.1016/j.ijinfomgt.2022.102513 Xie X. Han Y. Anderson A. Ribeiro-Navarrete S. ( 2022 ). Digital platforms and SMEs’ business model innovation: Exploring the mediating mechanisms of capability reconfiguration . International Journal of Information Management , 65 , 102513 . https://doi.org/10.1016/j.ijinfomgt.2022.102513 Search in Google Scholar

Zafar, A. (2024). Balancing the scale: Navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices. Discover Artificial Intelligence, 4 (1), 27.https://doi.org/10.1007/s44163-024-00121-8 Zafar A. ( 2024 ). Balancing the scale: Navigating ethical and practical challenges of artificial intelligence (AI) integration in legal practices . Discover Artificial Intelligence , 4 ( 1 ), 27 . https://doi.org/10.1007/s44163-024-00121-8 Search in Google Scholar

Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224.https://doi.org/10.1016/j.jii.2021.100224 Zhang C. Lu Y. ( 2021 ). Study on artificial intelligence: The state of the art and future prospects . Journal of Industrial Information Integration , 23 , 100224 . https://doi.org/10.1016/j.jii.2021.100224 Search in Google Scholar