Background: in recent years, automation has emerged as a hot topic, showcasing its
capacity to perform tasks independently, without constant supervision. While automation has …

There are various kinds of applications of BDA in the firms. Not many studies are there which
deal with the impact of BDA towards issues like forecasting, decision-making, as well as …

Econometricians deal with a tremendous amount of data to derive the relationships between
economic entities. When statistical techniques are applied to the economic data to …

At present, most of the business organizations take their management decisions using
traditional approach. In the traditional approach, the freedom to be flexible is limited due to …

ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …

Taking backorders on products is a common scenario in inventory and supply chain
management systems. The ability to predict the likelihood of backorders can surely minimise …

In small business credit risk assessment, the default and nondefault classes are highly
imbalanced. To overcome this problem, this study proposes an extended ensemble …

This study proposes an ensemble deep learning approach that integrates Bagging Ridge
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …

Big data analytics is a novel technique of extracting patterns from structured or unstructured
information for improved decision accuracy, operational efficiency and higher environmental …

Supply chain management relies on accurate backorder prediction for optimizing inventory
control, reducing costs, and enhancing customer satisfaction. Traditional machine-learning …