Future of knowledge management in investment banking: Role of personal intelligent assistants
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/Methodolog...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2024-12-01
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| Series: | Methodological Innovations |
| Online Access: | https://doi.org/10.1177/20597991241287118 |
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| author | Vedapradha Radhakrishna Hariharan Ravi Sudha Elango Venkoba Divyashree Ashok Jaganathan Muralidharan Ponnusamy |
| author_facet | Vedapradha Radhakrishna Hariharan Ravi Sudha Elango Venkoba Divyashree Ashok Jaganathan Muralidharan Ponnusamy |
| author_sort | Vedapradha Radhakrishna |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-06aa1148bc034bacb79e0c6c5570c6b1 |
| institution | Kabale University |
| issn | 2059-7991 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Methodological Innovations |
| spelling | doaj-art-06aa1148bc034bacb79e0c6c5570c6b12024-12-19T13:03:36ZengSAGE PublishingMethodological Innovations2059-79912024-12-011710.1177/20597991241287118Future of knowledge management in investment banking: Role of personal intelligent assistantsVedapradha Radhakrishna0Hariharan Ravi1Sudha Elango2Venkoba Divyashree3Ashok Jaganathan4Muralidharan Ponnusamy5Mount Carmel College, School of Commerce, Bangalore, IndiaIndependent ResearcherCHRIST (Deemed to be University), Bangalore, Karnataka, IndiaCHRIST (Deemed to be University), Bangalore, Karnataka, IndiaCHRIST (Deemed to be University), Bangalore, Karnataka, IndiaSona College of Technology, Salem, Tamil Nadu, IndiaPurpose: 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.https://doi.org/10.1177/20597991241287118 |
| spellingShingle | Vedapradha Radhakrishna Hariharan Ravi Sudha Elango Venkoba Divyashree Ashok Jaganathan Muralidharan Ponnusamy Future of knowledge management in investment banking: Role of personal intelligent assistants Methodological Innovations |
| title | Future of knowledge management in investment banking: Role of personal intelligent assistants |
| title_full | Future of knowledge management in investment banking: Role of personal intelligent assistants |
| title_fullStr | Future of knowledge management in investment banking: Role of personal intelligent assistants |
| title_full_unstemmed | Future of knowledge management in investment banking: Role of personal intelligent assistants |
| title_short | Future of knowledge management in investment banking: Role of personal intelligent assistants |
| title_sort | future of knowledge management in investment banking role of personal intelligent assistants |
| url | https://doi.org/10.1177/20597991241287118 |
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