Impact of Artificial Intelligence on Organizational Transformation. Группа авторовЧитать онлайн книгу.
N. and Feinzig, S., The Business Case for AI in HR. With Insights and Tips on Getting Started, IBM Smarter Workforce Institute, IBM Corporation. [Google Scholar], Armonk, 2018.
16. Jarek, K. and Mazurek, G., Marketing and Artificial Intelligence. Cent. Eur. Bus. Rev., 8, 2, 46–55, 2019.
17. Jia, Q., Guo, Y., Li, R., Li, Y., Chen, Y., A conceptual artificial intelligence application framework in human resource management, in: Proceedings of the International Conference on Electronic Business, pp. 106–114, 2018.
18. Joshi, A., Son, J., Roh, H., When can women close the gap? A meta-analytic test of sex differences in performance and rewards. Acad. Manage. J., 58, 5, 1516–1545, 2015.
19. Kim, T. and Duhachek, A., The impact of artificial agents on persuasion: A construal level account, in: ACR Asia-Pacific Advances, 2018.
20. Krivkovich, A., Robinson, K., Starikova, I., Valentino, R., Yee, L., Women in the Workplace 2017, LearnIn. org, Retrieved from https://www.mckinsey.com/featuredinsights/gender-equality/women-in-theworkplace-2017.
21. Lesgold, A., Lajoie, S., Bunzo, M., Eggan., G., SHERLOCK: A Coached Practice Environment for an Electronics Troubleshooting Job, Pittsburgh University, Learning Research and Development Center, 1988.
22. McCarthy, J. What is artificial intelligence. Technical report, Stanford University, http://www-formal.stanford.edu/jmc/whatisai.html, 2004.
23. Maraziti, P., 2020. Tomorrow’s Workpplace: Humans And AI Co-existing As Colleagues. [Online] Business World. Retrieved from http://bwpeople.businessworld.in/article/Tomorrow-s-Workplace-Humans-And-AI-Co-existing-As-Colleagues/25-01-2020-182461/.
24. Marr, B., The 10 Best Examples Of How Companies Use Artificial Intelligence In Practice. [online] Forbes. Retrieved from https://www.forbes.com/sites/bernardmarr/2019/12/09/the-10-best-examples-of-how-companies-use-artificial-intelligence-in-practice/, 2019.
25. Macwan, N. and Sajja, D.P.S., Performance appraisal using fuzzy evaluation methodology. Int. J. Eng. Innov. Technol., 3, 3, 324–329, 2013.
26. Meister, J., Ten HR Trends In The Age Of Artificial Intelligence, [online] Forbes. Retrieved from https://www.forbes.com/sites/jeannemeister/2019/01/08/ten-hr-trends-in-the-age-of-artificial-intelligence/#5bb4b6363219, 2019.
27. Miller-Merrell, J., 9 Ways to Use Artificial Intelligence in Recruiting and HR. Workology. Retrieved from https://workology.com/artificial-intelligence-recruiting-humanresources/, 2016.
28. Shahid, M.Z. and Li, G., Impact of Artificial Intelligence in Marketing: A Perspective of Marketing Professionals of Pakistan. Global J. Manage. Bus. Res., 19, 2, 26–33, 2019.
29. Quillian, L., Pager, D., Hexel, O., Midtbøen, A.H., Meta-analysis of field experiments shows no change in racial discrimination in hiring over time. Proc. Natl. Acad. Sci., 114, 41, 10870–10875, 2017, applicants with identical resumes.
30. Rathi, R.A., Artificial intelligence and the future of hr practices. IJAR, 4, 6, 113–116, 2018.
31. Upadhyay, A.K. and Khandelwal, K., Artificial intelligence-based training learning from application. Dev. Learn. Org.: Int. J., 3, 2, 20–33, 2019.
32. Van Belleghem, S., Customers the day after tomorrow: How to attract customers in a world of AI, bots and automation, Lannoo Meulenhoff-Belgium, 2017.
33. Waldman, D.A. and Avolio, B.J., A meta-analysis of age differences in job performance. J. Appl. Psychol., 71, 1, 33, 1986.
34. Walch, K., 2019, Rethinking weak-vs-strong-AI. [online] Forbes. https://www.forbes.com/sites/cognitiveworld/2019/10/04/rethinking-weak-vs-strong-ai/137808f86da3 accessed on 20 Jan, 2020.
35. Xaxis, ARTIFICIAL INTELLIGENCE Myth versus reality in the digital advertising world. Retrieved from https://www.xaxis.com/wp-content/uploads/2018/07/IAB-EU_XAXIS-AI-REPORT_2018-07-.pdf, 2018.
36. Kietzmann, J.H., Paschen, J., Treen, E., Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. J. Advert. Res., 58, 3, 263e267, 2018.
37. https://www.lexico.com/definition/content_marketing, accessed on 20 Jan 2020.
38. https://www.cnbc.com/2017/04/03/pinterest-ceo-future-of-search.html. Accessed on 20 Jan 2020.
39. http://www.ecommerce-digest.com/neural-networks.html. Accessed on 20 Jan 2020.
1 *Corresponding author: [email protected]
2 †Corresponding author: [email protected]
2
Ring Trading to Algo Trading—A Paradigm Shift Made Possible by Artificial Intelligence
Aditi R. Khandelwal
IIS Deemed to be University, Jaipur, India
Abstract
This chapter explains a framework which shows the transformations which took place in Indian stock markets and their working. Several year’s back the stock exchanges were physical places bussing with people and where everything used to happen manually by humans. The trades were executed by a process referred to as open outcry. Clients had to wait till the next day to see the high low prices of shares in the newspaper. The participation in stock market was low and selective.
Then came the time when a boom in stock market came and people at large started investing with the coming up of brokers cum investor like Harshad Mehta but sadly now we remember him as a fraud. The stock market also saw a change in the working of exchanges. Systems started becoming computerized and one fine day everything shifted to internet-computer based systems called online trading. The latest scenario is where highly sophisticated computer based programmes called as Algorithmic trades came into force. These are trades which are totally human less and thus help in normalizing the trading, too high or too low is detected and stopped by auto cut off modes.
Keywords: Stock market, ring trading, open outcry, settlement cycle, depository, algorithmic trade, stock exchange
2.1 Introduction
Stock markets