EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 399 (2023) E3S Web Conf., 399 (2023) 07006 References
Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 07006
Number of page(s) 13
Section Management
DOI https://doi.org/10.1051/e3sconf/202339907006
Published online 12 July 2023
  1. Agrawal, A., Gans, J.S. and Goldfarb, A., (2019). Exploring the impact of artificial intelligence: Prediction versus judgment. Information Economics and Policy. [Google Scholar]
  2. Aral, S., Dellarocas, C. and Godes, D., (2013). Introduction to the special issue-social media and business transformation: a framework for research. Information Systems Research, 24(1), pp.3–13. [CrossRef] [Google Scholar]
  3. Basu, P. (2020). "Artificial intelligence for digital transformation genesis, fictions, applications, and challenges," Management Accountant, Vol. 55 No. 4, pp. 1130–1141. [Google Scholar]
  4. Cockburn, I.M., Henderson, R. & Stern, S. (2018). The impact of artificial intelligence on innovation (No. w24449). National Bureau of Economic Research. [Google Scholar]
  5. Csordas, A. (2020). "Diversifying effect of digital competence," AGRIS Online Papers in Economics and Informatics, Vol. 12 No. 1, pp. 3–13. [CrossRef] [Google Scholar]
  6. Dimitrieska, S., Stankovska, A. and Efremova, T., 2018. Artificial Intelligence and Marketing. Entrepreneurship, 6(2), pp.298–304. [Google Scholar]
  7. Davenport, T., Abhijit, G., Dhruv, G. & Timna, B. (2020). "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Vol. 48 No. 1, pp. 24–42. [CrossRef] [Google Scholar]
  8. Erdogmus, Í.E. and Cicek, M., (2012). The impact of social media marketing on brand loyalty. Procedia-Social and Behavioral Sciences, 58, pp.1353–1360. [CrossRef] [Google Scholar]
  9. Fast, E. and Horvitz, E., (2017). February. Long-term trends in the public perception of artificial intelligence. In Thirty-First AAAI Conference on Artificial Intelligence. [Google Scholar]
  10. Fiumara, G., Celesti, A., Galletta, A., Carnevale, L. and Villari, M., (2018), January. Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients' Posts. In healthinf (pp. 680–687). [Google Scholar]
  11. Fletcher, A.J., (2017). Applying critical realism in qualitative research: methodology meets method. International Journal of Social Research Methodology, 20(2), 181–194. [CrossRef] [Google Scholar]
  12. Hennig-Thurau, T., Hofacker, C.F. and Bloching, B., (2013). Marketing the pinball way: Understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), pp.237–241. [CrossRef] [Google Scholar]
  13. Jarek, K. and Mazurek, G. (2019). "Marketing and artificial intelligence," Central European Business Review, Vol. 8 No. 2, pp. 46–55. [CrossRef] [Google Scholar]
  14. Kane, G.C., (2017). The evolutionary implications of social media for organizational knowledge management. Information and organization, 27(1), 37–46. [CrossRef] [Google Scholar]
  15. Kaczorowska-Spychalska, D. (2019), “How chatbots influence marketing”, Management, Vol. 23 No. 1, pp. 251–270. [CrossRef] [Google Scholar]
  16. Kose, U. and Sert, S., (2017). Improving content marketing processes with the approaches by artificial intelligence. arXiv preprint arXiv:1704.02114. [Google Scholar]
  17. Le, T., Pardo, P. and Claster, W., (2016). Application of artificial neural network in social media data analysis: a case of lodging business in Philadelphia. In Artificial Neural Network Modelling (pp. 369–376). Springer, Cham. [CrossRef] [Google Scholar]
  18. Marinchak, C.L.M., Forrest, E. & Hoanca, B. (2018). The impact of artificial intelligence and virtual personal assistants on marketing. In Encyclopedia of Information Science and Technology, Fourth Edition (pp. 5748–5756). IGI Global. [Google Scholar]
  19. Müller, V.C. and Bostrom, N., (2016). Future progress in artificial intelligence: A survey of expert opinion. In Fundamental issues of artificial intelligence (pp. 555–572). Springer, Cham. [CrossRef] [Google Scholar]
  20. Markus, B. and Wang, C. (2020). "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Vol. 48 No. 4, pp. 649–669. [CrossRef] [Google Scholar]
  21. Siau, K. and Yang, Y., (2017), May. Impact of artificial intelligence, robotics, and machine learning on sales and marketing. In Twelve Annual Midwest Association for Information Systems Conference (MWAIS 2017) (pp. 18–19). [Google Scholar]
  22. Stalidis, G., Karapistolis, D. and Vafeiadis, A., (2015). Marketing decision support using Artificial Intelligence and Knowledge Modeling: application to tourist destination management. Procedia-Social and Behavioral Sciences, 175, pp.106–113. [CrossRef] [Google Scholar]
  23. Theodoridis, P.K. and Gkikas, D.C., (2019). How Artificial Intelligence Affects Digital Marketing. In Strategic Innovative Marketing and Tourism (pp. 1319–1327). Springer, Cham. [CrossRef] [Google Scholar]
  24. Zeng, D., Chen, H., Lusch, R. and Li, S.H., (2010). Social media analytics and intelligence. IEEE Intelligent Systems, 25(6), pp.13–16 [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.