As the global business landscape continues to evolve, the integration of advanced technologies has become imperative for enhancing efficiency and competitiveness. This paper explores the multifaceted role of Artificial Intelligence (AI) in revolutionizing supply chain management (SCM). The...

Traditional insurance is being threatened as the global business environment becomes more competitive. This paper investigates the influence of competitive intelligence on organizational sustainability of the Nigerian insurance industry. The study employed a cross-sectional survey design in data...

Artificial intelligence, the latest chapter of the technological revolution, has a tremendous potential to change every area of our lives. This article has focused on a specific form of artificial intelligence, namely generative intelligence, which facilitates the generation of content in all...

The utilisation of Chat Generative Pre-Trained Transformer (ChatGPT) and generative artificial intelligence (GenAI) technologies has started to demonstrate its impact across several domains. The swift shift and widespread implementation of efficient artificial intelligence (AI) present distinct...

This article employs two alternative approaches based on input-output tables to re-evaluate key Australian industries and their interconnections. The first approach utilizes traditional linkages, while the second approach employs machine learning methods. Data come from the OECD database for...

Promoting social information reporting and disclosure can promote sustainable banking. The paper aims to measure banking social sustainability by constructing a new interval-based composite indicator using the Thomson Reuters database. In this work, we propose an approach to constructing...

Statistical learning models have profoundly changed the rules of trading on the stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, the available studies are mostly focused on testing the increasingly complex machine learning...

The paper deals with the topic of modelling the probability of bankruptcy of Polish enterprises using convolutional neural networks. Convolutional networks take images as input, so it was thus necessary to apply the method of converting the observation vector to a matrix. Benchmarks for...

Financial ML offers the opportunity to gain insight from data:* Modelling non-linear relationships in a high-dimensional space* Analyzing unstructured data (asynchronous, categorical)* Learning complex patterns (hierarchical, non-parametric)* Focusing on predictability over parametric...

This paper develops several efficient machine learning models and compare their performance in forecasting the value and direction of stock prices and indices from the ASEAN countries. Although all models adequately forecast the stock indices ranging from 40% to 95% accuracy and outperform...