The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Scoping Review on Financial Distress Prediction in India Using Modern Methods of Machine Learning: Scope for Future Research
|
|
Author(s): Reynal Lavita Fernandes (Christ University, India)and Veerta Tantia (Christ University, India)
Copyright: 2025
Pages: 26
Source title:
Enhancing Communication and Decision-Making With AI
Source Author(s)/Editor(s): Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan), Mohammad Gouse Galety (Samarkand International University of Technology, Uzbekistan), Celestine Iwendi (University of Bolton, UK), Deepthi Das (Christ University, India)and Achyut Shankar (University of Warwick, UK)
DOI: 10.4018/979-8-3693-9246-1.ch008
Purchase
|
Abstract
Every business has its objective to attain, along with earning profits. A business needs finances and also throws up difficulties in meeting its financial requirements. If ignored, the challenges could affect the business. It is crucial for the business to keep a regular check, necessitating the right, analytical methods. A large number of works of literature have focussed on the traditional methods of predicting financial distress. Recently, a few studies evolved using modern methods. This study has a review of the literature regarding modern methods used in predicting financial distress. The present study has adopted the structure of a scoping review developed by Arksey and O'Malley and the main aim is to showcase the importance of predicting financial distress with modern methods through the machine learning approach. It also aims to highlight the drawbacks of statistical methods while predicting financial distress and covering the reasons for them.
Related Content
|
Ipsa Bharti, Kavita Chauhan, Priyanka Aggarwal.
© 2025.
36 pages.
|
|
Paul Philip V., Tiakumzuk, Anita H. B..
© 2025.
28 pages.
|
|
Minnu Elizabeth Ittan, Sudheep M. Elayidom, Midhun P. Mathew.
© 2025.
34 pages.
|
|
Ambeshwar Kumar, Mahanthi Bangaru Lakshmi, Manikandan Ramachandran.
© 2025.
26 pages.
|
|
Sachin Mishra, A. Manimaran, Mohammad Gouse Galety.
© 2025.
28 pages.
|
|
J. Jayapriya, M. Vinay, Blessy Louis, C. Balakrishnan, R. Sindhu.
© 2025.
20 pages.
|
|
Sapternab Chatterjee, Rupali Sunil Wagh.
© 2025.
24 pages.
|
|
|