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Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.
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Featured Articles
In the context of the global shift toward a low-carbon economy, carbon disclosure has emerged as a crucial tool for facilitating the low-carbon transition of firms and addressing climate change. As a result, it has become an increasingly prominent focus in academic research and policy making. This paper reviews the existing literature on carbon disclosure, examining the methods, standards, motivations, and impacts associated with current research in this area. Based on this analysis, the paper identifies key gaps in the existing literature and suggests directions for future research, aiming to contribute to the advancement of theoretical understanding and provide a valuable reference for future studies.
Understanding consumer purchasing behavior is crucial for businesses aiming to enhance customer engagement and optimize marketing strategies. In today’s digital economy, traditional marketing approaches are becoming less effective due to evolving consumer behaviors, the rise of online communities, and the widespread use of ad-blocking software. To remain competitive, businesses must adopt data-driven strategies to analyze consumer preferences and tailor their marketing efforts accordingly. Machine learning provides a powerful tool for predicting consumer purchasing behavior, enabling businesses to anticipate customer needs and implement targeted marketing campaigns. Previous studies have demonstrated the effectiveness of machine learning in consumer analysis, particularly in customer segmentation and purchase prediction. However, while much research focuses on technical model optimization, relatively few studies have applied machine learning specifically for marketing prediction and strategic decision-making. This study addresses that gap by leveraging machine learning to analyze consumer purchasing behavior and generate practical insights for marketing strategies and business applications. Using a dataset of 4680 transactions, we employ Generalized Linear Models (GLM), Logistic Regression, Random Forest, and XGBoost to predict repurchase behavior within a specified timeframe. Our objective is to provide practical implications for businesses, such as improving targeted promotions, refining customer segmentation, and enhancing demand forecasting.
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Macau University of Science and Technology, Macau
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News & Announcements
2025-04-02
Volume 2 Issue 1 (2025) Released - Toward More Efficient Business Management
We would like to inform all of our readers of the formal release of the first issue of Business and Management Theory and Practice (eISSN: 3082-8155) in 2025. This issue consists of three research articles, five review articles, and one editorial from our respected editorial board member, Dr. Jian Xu, who has been recently selected into the 2024 Elsevier "Highly Cited Chinese Researchers" list.
2025-03-27
Good News! Dr. Jian Xu Included in the 2024 Elsevier “Highly Cited Chinese Researchers” List
We are pleased to announce that BMTP’s editorial board member, Dr. Jian Xu, has been selected into the 2024 Elsevier "Highly Cited Chinese Researchers" list. This is to acknowledge his significant contribution to the field of Applied Economics.
2025-01-15
Business and Management Theory and Practice Obtained Its ISSN: 3082-8155
We are pleased to share with all our contributors that our journal, Business and Management Theory and Practice received its eISSN (3082-8155), assigned by ISSN National Centre for Singapore. The journal is now collecting submissions for Volume 2 Issue 1. We encourage scholars to contribute to this journal.
2025-01-03
Launch of the Inaugural Issue of Business and Management Theory and Practice
We are delighted to announce the official release of the inaugural issue of Business and Management Theory and Practice. This issue features five insightful articles from esteemed authors based in Nigeria, China, Iran, and Cyprus.
2024-09-15
Welcome Prof. Felix T. S. Chan as Editor-in-Chief of Business and Management Theory and Practice
We are thrilled to announce that Prof. Felix T. S. Chan will join us as Editor-in-Chief of Business and Management Theory and Practice.
2024-08-20
BMTP is officially launched
Business and Management Theory and Practice (BMTP) has been officially launched now.Authors should adhere to the editorial and publishing policies of the journal, and prepare manuscripts in accordance with author guidelines.