Open Access
Issue
SHS Web Conf.
Volume 218, 2025
2025 2nd International Conference on Development of Digital Economy (ICDDE 2025)
Article Number 01023
Number of page(s) 11
Section Digital Finance: Innovation, Regulation, and Inclusion
DOI https://doi.org/10.1051/shsconf/202521801023
Published online 03 July 2025
  1. L. Barbieri, M. Piva, M. Vivarelli, R&D, embodied technological change, and employment: evidence from Italian microdata, Industrial and Corporate Change, 28(1), 203–218 (2018) doi: 10.1093/icc/dty001 [Google Scholar]
  2. J. O.-P. Chan, Digital transformation in the era of big data and cloud computing, International Journal of Intelligent Information Systems, 9(3), 16 (2020) doi: 10.11648/j.ijiis.20200903.11 [CrossRef] [Google Scholar]
  3. C. Gray, How Google became the world’s most popular search engine, echnologymagazine.com (2021) https://technologymagazine.com/digital-transformation/how-google-became-worlds-most-popular-search-engine [Google Scholar]
  4. H. Kim, The analysis of Innovation Management in Google, Journal of Economics and Management Sciences, 3(4), 10 (2020) doi: 10.30560/jems.v3n4p10 [CrossRef] [Google Scholar]
  5. F. Bogliacino and M. Pianta, Innovation and Demand in Industry Dynamics: R&D, New Products and Profits, in Springer eBooks, 95–112 (2013) doi: 10.1007/978-3-642-35125-9_5 [Google Scholar]
  6. R. Evangelista, Knowledge and investment, ideas.repec.org (1999) https://ideas.repec.org/b/elg/eebook/1402.html [Google Scholar]
  7. Aldoseri, K. N. Al-Khalifa, A. M. Hamouda, AI-Powered Innovation in Digital Transformation: key pillars and industry impact, Sustainability, 16(5), 1790 (2024) doi: 10.3390/su16051790 [CrossRef] [Google Scholar]
  8. D. Sredojević, S. Cvetanović, G. Bošković, Technological Changes in Economic Growth Theory: Neoclassical, Endogenous, and Evolutionary-Institutional Approach, Economic Themes, 54(2), 177–194 (2016) doi: 10.1515/ethemes-2016-0009 [Google Scholar]
  9. W. Rodgers, J. M. Murray, A. Stefanidis, W. Y. Degbey, and S. Y. Tarba, An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes, Human Resource Management Review, 33(1), 100925 (2022) doi: 10.1016/j.hrmr.2022.100925 [Google Scholar]
  10. M. Chui et al., Generative AI is poised to unleash the next wave of productivity, We take a first look at where business value could accrue and the potential impacts on the workforce., McKinsey Digital (2023) https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier#introduction [Google Scholar]
  11. Erdmann, R. Arilla, J. M. Ponzoa, Search engine optimization: The long-term strategy of keyword choice, Journal of Business Research, 144(1), 650–662 (2022) doi: 10.1016/j.jbusres.2022.01.065. [CrossRef] [Google Scholar]
  12. P. Adams, Google ads performance robust despite existential threats, marketingdive.com (2024) https://www.marketingdive.com/news/google-q3-2024-earnings-antitrust-search-crackdown/731450/ [Google Scholar]
  13. I. Wrede, Will Google finally cave in under US regulatory pressure? dw.com (2024) https://www.dw.com/en/google-breakup-will-the-tech-giant-cave-in-under-us-regulatory-pressure/a-70505887 [Google Scholar]
  14. D. Srinivasan, Why Google dominates advertising markets Competition policy should lean on the principles of financial market regulation (2020) https://law.stanford.edu/wp-content/uploads/2020/12/Srinivasan-FINAL-Why-Google-Dominates-Advertising-Markets.pdf [Google Scholar]
  15. N. Pande, The Influence Of Seasonal Trends On E-Commerce Sales- An Econometric Analysis, EPH - International Journal of Business & Management Science (2025) doi: 10.53555/eijbms.v11i1.198 [Google Scholar]
  16. C. M. Christensen, M. E. Raynor, R. McDonald, What Is Disruptive Innovation? Harvard Business Review, hbr.or (2015) https://hbr.org/2015/12/what-is-disruptive-innovation [Google Scholar]
  17. Impact Economist, What AI means for the global economy and security, impact.economist.com (2025) https://impact.economist.com/progress-2030/what-ai-means-for-the-global-economy-and-security [Google Scholar]
  18. H. Naveed et al., A comprehensive overview of large language models, arXiv (Cornell University) (2024) doi: 10.48550/arxiv.2307.06435 [Google Scholar]
  19. Y. K. Dwivedi et al., Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy, International Journal of Information Management, 57, 101994 (2019) doi: 10.1016/j.ijinfomgt.2019.08.002 [Google Scholar]
  20. G. Simone, R. Evangelista, M. Pianta, Profits, innovation, investment. Exploring the virtuous circle, Italian Economic Journal (2024) doi: 10.1007/s40797-024-00281-7 [Google Scholar]
  21. N. Tsolakis, R. Schumacher, M. Dora, M. Kumar, Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation? Annals of Operations Research, 327(1), 157–210, (2022) doi: 10.1007/s10479-022-04785-2 [Google Scholar]
  22. R. Chengoden et al., Metaverse for Healthcare: A survey on potential applications, challenges and future directions, IEEE Access, 11(1), 12765–12795 (2023) doi: 10.1109/access.2023.3241628 [CrossRef] [Google Scholar]
  23. J. Wang, T. Lu, L. Li, D. Huang, Enhancing Personalized Search with AI: A Hybrid Approach Integrating Deep Learning and Cloud Computing, International Journal of Innovative Research in Computer Science & Technology, 12(5), 127–138 (2024) doi: 10.55524/ijircst.2024.12.5.17 [CrossRef] [Google Scholar]
  24. Y. K. Dwivedi et al., Opinion Paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy, International Journal of Information Management, 71(1), 102642, (2023) doi: 10.1016/j.ijinfomgt.2023.102642 [CrossRef] [Google Scholar]

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