Future of knowledge management in investment banking

Role of personal intelligent assistants

Dados Bibliográficos

ID4956515
AutoresVedapradha Radhakrishna (0000-0001-5016-3156), R Vedapradha (autor correspondente), Hariharan Ravi (0000-0002-6125-339X), Sudha Elango (Christ University), Venkoba Divyashree, Venkoba Rao Divyashree (Christ University), Anitha Jeyagurunathan (0000-0003-3947-1603, Christ University), Ashok Jaganathan, Muralidharan Ponnusamy
Ano2024
Volume17
Fascículo4
Páginas229-247
Data de publicação2024-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoMethodological Innovations (JOURNAL)
Identificadores do periódicoISSN: 2059-7991 • E-ISSN: 2059-7991
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1177/20597991241287118
OpenAlexW4403872463
IdiomaEN
Citações recebidas1
Referências citadas112

Purpose: The study's objective focuses on investigating the involvement of Personal Intelligent Assistants (PIAs) in the Knowledge Management Process (KMP) in Investment Banking Companies leading to Industrial Revolution 5.0 leading to effective Organizational Knowledge Management. Design/Methodology: A Self-administered Survey Questionnaire was circulated to 695 employees of Investment Banking Companies operating in Bangalore, Mumbai, Delhi, Hyderabad, Chennai, and Pune using the Cluster Sampling method. The Covariance-based Structural Equation Modelling (CB-SEM) and Gradient Boosting Regression technique of Machine Learning were used to validate the hypothesis through JASP V.18 Software. Knowledge Creation, Knowledge Sharing, Knowledge Retrieval, Knowledge Application, and Organizational Knowledge Management are the crucial constructs considered in the study. Findings: The results revealed that Knowledge Application is the most influencing factor in effective organizational Knowledge management among the Investment Banks followed by Knowledge Sharing. It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. Implications: The PIAs can facilitate effective Data Analysis and research in managing vast data eliminating the repeated tasks in portfolio reconciliation and offering personalized recommendations to manage portfolios. It enables in compliance, risk management, client relationship management, real-time monitoring and leveraged decision-making through predictive analysis

Business · Investment (military · Investment banking · Knowledge management · Political science · Computer Science · Digital Platforms and Economics · FinTech, Crowdfunding, Digital Finance · Islamic Finance and Banking Studies · Finance