Author
Renuka A, Rohit M, Smera C,Sandeep J, Sreeja C S
Keywords
AI Chatbots; Job Attrition; Workplace Dynamics; Quantitative Analysis; Qualitative Insights; Employee Satisfaction; Continuous Monitoring,
Abstract
This research carefully investigates the implications of AI chatbots on job attrition, and through the combination of quantitative and qualitative analysis, it tries to go through a complex landscape of modern workplaces. With surveys, interviews as well as rate of attrition analysis, comprehensive knowledge is built which reveals that there is a relationship between adoption of AI and job disillusionment. The study also majors in the use of case studies and sentiment analysis that explains more about their personal experiences. The methodology stresses continuous monitoring, inclusive employee consultation and targeted training programs for enhanced adaptability. Eth- ical considerations such as privacy protection are pivotal to this study. Thus, the findings make specific suggestions for action while also functioning as an organizational compass for using AI chatbots without risking attrition due to no jobs so organizations can embrace technological integration into workforce well-being in future times.
References
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[2] Quynh N. Nguyen, Anna Sidorova, “capabilities and user experiences: a comparative study of user reviews for assistant and non-assistant mobile apps,” Twenty-third Americas Conference on Information Systems, Boston, 2017.
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[4] Lea Katalina Kivinen, ”AI-driven chatbot as a support tool for develop- ers during the onboarding process,” 27 April 2023.
[5] Vijay Pereira, Elias Hadjielias, Michael Christofi, Demetris Vrontis, ”A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective,” 30 August 2021.
[6] Wieslawa Gryncewicz, Ryszard Zygala, Agnieszka Pilch, ”AI in HRM: case study analysis. Preliminary research,” Procedia Computer Science, 225 (2023) vol, 2351–2360.
[7] F. Ted Tschang, Esteve Almirall, ”Artificial intelligence as augmenting automation: Implications for employment,” Academy of Management Perspectives. 35, (4), 642-659, 2021.
[8] Amisha Bhargava, Marais Bester, Lucy Bolton, Employees’ Perceptions of the Implementation of Robotics, Artificial Intelligence, and Au- tomation (RAIA) on Job Satisfaction, Job Security, and Employability, Journal of Technology in Behavioral Science (2021) 6:106–113.
[9] Pawan Budhwar Ashish Malik, M. T. Thedushika De Silva & Praveena Thevisuthan, ”Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda,” The International Journal of Human Resource Management, 33:6, 1065-1097, 06 Mar 2022.
[10] Demetris Vrontis, Michael Christofi, Vijay Pereira, Shlomo Tarba, Anna Makrides, Eleni Trichina, ”Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review,” The International Journal of Human Resource Management, 12 Feb 2021.
[11] Prasanna Tambe, Peter Cappelli, and Valery Yakubovich, ”Artificial Intelligence in Human Resources Management: Challenges and a Path Forward,” California Management Review, Volume 61, Issue 4, 15-42, 2019. https://doi. org/ 10.1177/0008125619867910
[12] Chenzhuoer Li, Runjie Pan, Huiyu Xin and Zhiwen Deng,”Research on Artificial Intelligence Customer Service on Consumer Attitude and Its Impact during Online Shopping,” Journal of Physics: Conference Series, 2020.
[13] Eleni Adamopoulou, Lefteris Moussiades, ” Chatbots: History, technology, and applications,” Machine Learning with Applications, 2 (2020).
[14] Dena F. Mujtaba, Nihar R. Mahapatra, ”Ethical Considerations in AI- Based Recruitment,” IEEE International Symposium on Technology in Society (ISTAS) Proceedin
Received : 30 October 2023
Accepted : 10 January 2024
Published : 19 January 2024
DOI: 10.30726/esij/v11.i1.2024.111001