Research about big data analytics as well as its effect on firm effectiveness is dispersed and
insufficient in an attempt to incorporate the results of the latest studies. The aim of this study …

Background/Objectives: Big Data is an incredibly big data set that needs to be examined,
managed, handled and validated by way of an ordinary information management tool …

Abstract Although Big Data analytics is not only pertinent for a specific world of technology,
many business segments gain tremendously from the use of innovative mathematical …

The objective of this study is to investigate the mechanisms of Big data-based business
model development in Chinese standard industries. Deductive reasoning as well as case …

The global population continues to be affected by the ongoing coronavirus pandemic,
resulting in a gradual depletion of the limited healthcare resources. In order to fully realize …

Credit Card fraud is the physical loss of a credit card or the loss of sensitive information. For
detection there are many machine learning algorithms that can be used. The research …

This study aims to analyze the influence of credit risks such as non-performing loans (NPL),
expected credit loss provision (ECL), and loan-to-deposit ratio (LDR) on the bank's financial …

Purpose: Big data analytics is a recently available state of the art technology with
prospective company influence. Nevertheless, the roadmap for the successful …

This study aims to evaluate the impact of credit appraisal and credit terms on the nancial
performance of commercial banks in Nigeria. Utilizing a descriptive and ex post facto …

Function-The goal of this particular paper is presenting a novel framework for strategic
decision making utilizing Big Data Analytics methodology. Design/methodology/approach-In …