Md Shamim Hossain

Md Shamim HossainMd. Shamim Hossain is an accomplished academic and researcher in the field of marketing, with a research focus on the applications of machine learning in marketing, operations management, online business, e-marketing, self-service technologies (SSTs), e-commerce, m-banking, online customer behavior, and other areas of business. He received his Ph.D. in Business Management from the University of International Business and Economics (UIBE) in Beijing, China, and is currently an Associate Professor in the Department of Marketing at Hajee Mohammad Danesh Science and Technology University (HSTU) in Bangladesh. Dr. Hossain has published numerous research papers in prestigious journals, including the Journal of Retailing and Consumer Services, the Economic Analysis and Policy, the Journal of Food Quality, the Discrete Dynamics in Nature and Society, the Journal of Sport Psychology, the Journal of Hospitality and Tourism Insights, the Journal of Islamic Marketing, the FIIB Business Review, the Economic Research-Ekonomska Istraivanja, and the International Journal of Engineering Business Management. He has also contributed book chapters to several high-quality textbooks published by IGI-Global in the United States. In addition to his research work, Dr. Hossain is a dedicated teacher and has taught a variety of courses in marketing at HSTU. He is highly regarded for his engaging teaching style and his ability to make complex marketing concepts accessible and interesting. Dr. Hossain is a pioneer in the field of machine learning-based marketing and is actively engaged in research related to this area.

Publications

Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics
Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics
Md Shamim Hossain, Ree Chan Ho, Goran Trajkovski. © 2023. 423 pages.
In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for...
Behavioral Analytics of Consumer Complaints
Behavioral Analytics of Consumer Complaints
Md Shamim Hossain. © 2023. 26 pages.
In the current study, the author implemented cohort analysis methodology of machine learning (ML) to assess the rate of consumers' complaint retention behavior toward firms....
Prediction and Analysis of Customer Complaints Using Machine Learning Techniques
Prediction and Analysis of Customer Complaints Using Machine Learning Techniques
Ghadah Alarifi, Mst Farjana Rahman, Md Shamim Hossain. © 2023. 25 pages.
Businesses must prioritize customer complaints because they highlight critical areas where their products or services may be improved. The goal of this study is to use machine...
AI and Machine Learning Applications to Enhance Customer Support
AI and Machine Learning Applications to Enhance Customer Support
Md Shamim Hossain, Md. Mahafuzur Rahman, Abu Eyaz Abresham, Asif Jaied Pranto, Md Raisur Rahman. © 2023. 25 pages.
The aim of this study is to investigate the applications of machine learning (ML) and artificial intelligence (AI) techniques in customer support and to make recommendations for...
User Sentiment Prediction and Analysis for Payment App Reviews Using Supervised and Unsupervised Machine Learning Approaches
User Sentiment Prediction and Analysis for Payment App Reviews Using Supervised and Unsupervised Machine Learning Approaches
Md Shamim Hossain, Omdev Dahiya, Md Abdullah Al Noman. © 2023. 20 pages.
Businesses must be aware of customer sentiment in order to provide the best customer service. Instead of using cash or a credit card, a user can use a payment app on a mobile...
User Sentiment Analysis and Review Rating Prediction for the Blended Learning Platform App
User Sentiment Analysis and Review Rating Prediction for the Blended Learning Platform App
Md Shamim Hossain, Md. Kutub Uddin, Md. Kamal Hossain, Mst Farjana Rahman. © 2022. 20 pages.
Understanding how to assess the learners' evaluation has become an essential topic for both academics and practitioners as blended mobile learning applications have...
Analyzing and Predicting Learner Sentiment Toward Specialty Schools Using Machine Learning Techniques
Analyzing and Predicting Learner Sentiment Toward Specialty Schools Using Machine Learning Techniques
Md Shamim Hossain, Mst Farjana Rahman, Md. Kutub Uddin. © 2022. 26 pages.
The objective of the research is to use machine learning techniques to evaluate and predict learners' sentiment toward specialty school. The current study used the Yelp...
Sentiment Analysis and Review Rating Prediction of the Users of Bangladeshi Shopping Apps
Sentiment Analysis and Review Rating Prediction of the Users of Bangladeshi Shopping Apps
Md Shamim Hossain, Mst Farjana Rahman. © 2022. 24 pages.
The goal of this study is to apply machine learning (ML) approaches to assess user sentiment and predict review ratings for Bangladeshi shopping apps. The data for this study was...
Machine Learning and Artificial Intelligence: The New Move for Marketers
Machine Learning and Artificial Intelligence: The New Move for Marketers
Md Shamim Hossain, Mst Farjana Rahman. © 2022. 27 pages.
The current study looks at how marketing managers utilize machine learning and artificial intelligence to analyze large amounts of client data and develop effective marketing...
Website Quality, Perceived Flow, Trust, and Commitment: Developing a Customer Relationship Management Model
Website Quality, Perceived Flow, Trust, and Commitment: Developing a Customer Relationship Management Model
Md Shamim Hossain, Mst Farjana Rahman. © 2021. 25 pages.
Website quality in online business is still exploratory, and despite growth in building a relationship with customer research, various challenges remain in developing a more...