A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM)

Journal of Food Quality - Tập 2022 - Trang 1-7 - 2022
A. V. L. N. Sujith1, Naila Iqbal Qureshi2, Venkata Harshavardhan Reddy Dornadula3, Abinash Rath4, Kolla Bhanu Prakash5, Sitesh Kumar Singh6
1Department of Computer Science and Engineering, Anantha Lakshmi Institute of Technology and Sciences, Ananthapuramu, India
2Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
3IT & ITES Department, Startups Mentoring Society, Tirupati, Andhra Pradesh 517501, India
4School of Business, The Assam Kaziranga University, Jorhat, India
5Department of Computer Science Engineering, K L Deemed to Be University, Green Fields, Vaddeswaram, Guntur District, A.P., India
6Department of Civil Engineering, Wollega University, Nekemte, Oromia, Ethiopia

Tóm tắt

Globally, organisations are focused on deriving more value from the data which has been collected from various sources. The purpose of this research is to examine the key components of machine learning in making efficient financial decisions. The business leaders are now faced with huge volume of data, which needs to be stored, analysed, and retrieved so as to make effective decisions for achieving competitive advantage. Machine learning is considered to be the subset of artificial intelligence which is mainly focused on optimizing the business process with lesser or no human interventions. The ML techniques enable analysing the pattern and recognizing from large data set and provide the necessary information to the management for effective decision making in different areas covering finance, marketing, supply chain, human resources, etc. Machine learning enables extracting the quality patterns and forecasting the data from the data base and fosters growth; the machine learning enables transition from the physical data to electronically stored data, enables enhancing the memory, and supports with financial decision making and other aspects. This study is focused on addressing the application of machine learning in making the effective financial decision making among the companies; the application of ML has emerged as a critical technology which is being applied in the current competitive market, and it has offered more opportunities to the business leaders in leveraging the large volume of data. The study is intended to collect the data from employees, managers, and business leaders in various industries to understand the influence of machine learning in financial decision making .

Từ khóa


Tài liệu tham khảo

10.1257/jep.31.2.87

A. Mishra, Smartcharge: cutting the electricity bill in smart homes with energy storage, 29

10.1080/01969722.2017.1285162

10.1007/s00500-015-1614-8

10.1109/cec.2015.7257305

10.1016/j.neucom.2015.01.109

S. Kumar, 2021, Impact of ESG integration on equity performance between developed and developing economy: evidence from S and P 500 and NIFTY 50, Empirical Economics Letters, 20, 01

10.1016/j.eswa.2018.06.016

10.1155/2021/6079582

10.1016/j.matpr.2021.03.642

10.1007/s11192-014-1513-2

10.1109/cinti.2015.7382921

A. Jain, 2019, Multiple quality optimizations in electrical discharge drilling of mild steel, Sheet” Material Today Proceedings, 8, 7252

A. Jain, 2019, Modelling and optimization of different quality characteristics in electric discharge drilling of titanium alloy sheet” Material, Today Proceedings, 21, 1680

10.1016/j.matpr.2019.06.292

S. Kumar, 2022, Effective hedging strategy for us treasury bond portfolio using principal component analysis, Academy of Accounting and Financial Studies Journal, 26, 1

10.1155/2021/7279260

10.1088/1755-1315/422/1/012128

10.14257/ijmue.2014.9.8.10

10.1509/jmr.12.0106

Thông tin
Thông tin xuất bản

Journal of Food Quality

Tập 2022

1-7

Thông tin tác giả