Cognitive technology in human capital management: a decision analysis model in the banking sector during COVID-19 scenario

Arumugam, Senthil Kumar, Abey, Joji, Seranmadevi, R., Srivastava, Shefali and Dwivedi, Ashish (2024) Cognitive technology in human capital management: a decision analysis model in the banking sector during COVID-19 scenario. International Journal of Applied Decision Sciences, 17 (5). pp. 657-680. ISSN 1755-8077

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Abstract

Cognitive technologies are products of the artificial intelligence (AI) domain which execute tasks that only humans used to perform. The impact of cognitive technologies on the management of human capital (HC) has a massive effect in the banking sector. This paper studies the transformation of cognitive technology to human capital management (HCM) in the banking sector during the COVID-19 pandemic. The study draws data from 201 bank employees working in private, public, and foreign banks using a multi-stage sampling method in India. A number of hypotheses were framed and tested using multivariate and regression analyses. The results from the study indicate a significant change in the performances of bank employees statistically during the transformation of cognitive technologies. Cognitive technologies such as payment, product customisation, self-services, workload alleviation, automated back-office function, and a personalised experience significantly contribute to the HCM.

Item Type: Article
Keywords: AI | Artificial intelligence | Banking | Cognitive technologies | COVID-19 | HCM | Human capital management | Machine learning | ML
Subjects: Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance
Social Sciences and humanities > Economics, Econometrics and Finance > Economics
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 13 Sep 2024 06:49
Last Modified: 13 Sep 2024 06:49
Official URL: https://doi.org/10.1504/IJADS.2024.140852
URI: https://pure.jgu.edu.in/id/eprint/8479

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