Md Shamim Hossain
Also known as: Dr. Hossain
Hajee Mohammad Danesh Science and Technology University, University of International Business and Economics, Institute of Research and Training (IRT)
Research areas: Business, Management and Accounting · Marketing · Sentiment Analysis and Opinion Mining · Digital Marketing and Social Media · Customer Service Quality and Loyalty
0000-0003-1645-7470
About
Dr. Md. 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 a 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 Mathematical Problems in Engineering, 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. He can be reached at [email protected] for any further inquiries or collaborations related to his research or teaching.
Employment
- 2023 - Present
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Hajee Mohammad Danesh Science and Technology University Associate Professor2012 - 2023
Education
- 2015 - 2019
- 2008 - 2010
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Institute of Research and Training (IRT) Post Graduate Diploma in Information and Communication Technology2008 - 2009
Projects & Funding
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Research Institute of research and training
Publications (62)
- Hospitality recovery disconnect: Why diligent responses to online reviews fail to boost ratings Save
- Service configuration–experience fit (SCEF): a contingency framework for service quality and performance optimization Save
- Micro-delight and anticipatory anxiety in mobile travel reviews: shaping tourist satisfaction Save
- Beyond the multiplier: Cross-country variation in tourism employment elasticities Save
- Behavioral Intention of Chinese Users to Use DeepSeek for Medical Tourism Save
- Operationalizing the technology acceptance model with large language models: A framework for strategic insights from user reviews Save
- Beyond optimization: Emotional insights into human-AI interaction in a post-algorithmic society Save
- Understanding complaint behavior in mobile banking: A psychological and AI-based analysis of emotional drivers Save
- Exploring Emotional and Content Influences on ChatGPT’s Educational Usability Within the Field of Human–Computer Interaction Save
- The impact of non-green forces on net present value and green net present value: a study on three agricultural crops Save
- Emotional drivers of sustainable AI adoption: A sentiment analysis of early user feedback on the deepSeek app Save
- Predicting and explaining customer satisfaction: A deep learning and sentiment analysis of emotional impacts Save
- Eco‐Conscious Preferences, Emotional Attributes, and Polarity in Sentiment Analysis of Organic Food App Reviews: A Feature Engineering and Deep Learning Approach Save
- Unveiling the impact of service attributes and review scores on sentiment: A deep learning and feature engineering approach to UberEats reviews Save
- Measuring Satisfaction and Purchase Intention of Smartphones for Learning Purposes Towards Emotional Aspects of Students Save
- Predicting purchase intentions in online food delivery using deep learning and AIDA model: Insights from sentiment analysis of user reviews Save
- Impact of Customers' Interpersonal Interactions in Social Commerce on Purchase Intention of Tourism Products and Services Save
- The Use of Technology in Enhancing Pilgrimage Tourism Experiences and Hospitality Services Save
- Investigating students' behavioral intention to use ChatGPT for educational purposes Save
- The influence of celebrity credibility, attractiveness, and social media influence on trustworthiness, perceived quality, and purchase intention for natural beauty care products Save