The unprecedented growth in data generation has necessitated the adoption of advanced analytical techniques. Support Vector Machine (SVM) is a powerful machine learning tool that has proven invaluable in classifying observations through optimal hyperplane in higher dimensions. Despite their...

This paper proposes new inverse data envelopment analysis (DEA) models considering input and output efficiency measures for the time substitution problem. We compare our DEA model with existing models in the literature. We show that existing models in the literature overestimate the required...

This research examines the factors that influence the implementation of green procurement in small and medium enterprises (SMEs), namely top management commitment, regulations, costs, pressure from consumers, and transformational leadership as moderation. The research employs a quantitative...

Digital devices are an integral component of the healthcare sector. With the advancement of modern technology with Artificial Intelligence (AI) and Machine Learning (ML), an automated diagnosis system with promising results is not a difficult task. This study aims to develop a recommender system...

Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural advantages. CNN relies heavily on hyperparameter configurations, and manually tuning these hyperparameters can be time-consuming for researchers, therefore we need efficient...

Apparel mills strive to perform better but need the right strategy that would allow them to remain cost-efficient and responsive at the same time to scale according to retail and market demands. Besides the right strategy, the apparel mills require the right resources and capabilities to...

In this paper, we discuss discrete choice theory and show how this theory can be used to quantify learning effects in experimental studies. We argue why the ordering quantities in newsvendor experiments should follow a multinomial logit distribution. We provide a robustness analysis to explain...

The Internet of Things (IoT) is a network of connected objects designed to collect and exchange data using smart equipment and technologies. A significant challenge in guaranteeing a high level of end-user experience is the administration of IoT services. IoT networks are constructed using a...

This study presents an environmental, social, and governance (ESG) strategic model to manage pharmaceutical supply chains with financial obstacles. ESG environmental, social, and governance research can help managers make informed decisions so that managers can better choose the corresponding...