EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 218 (2025) SHS Web Conf., 218 (2025) 01023 References
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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.