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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
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

Composite package | English
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Description

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 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 Mathematical Problems in Engineering, the Journal of Healthcare 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 shamimuibe@yahoo.com for any further inquiries or collaborations related to his research or teaching. Goran Trajkovski Ph.D., MSML, MSCS, MBA, currently serves as a Senior Lead College Compliance Advisor at Western Governors University. He specializes in program, courseware, and assessmentware design and development for high-demand computing and data-science disciplines, and in the regulatory and accreditation processes in the higher education domain. He has been involved in the eLearning movement since its inception, through the conceptualization, development, and deployment of more than 35 undergraduate and graduate programs in a variety of disciplines for online delivery and leading the development of more than 300 online courses. During his three decades in Higher Education, he has served in a variety of instructional and administration roles, including Dean of the School of Computer Information Systems at Virginia International University, Executive Director of Adult and Graduate Studies at Marian University, and Director of Product Strategy and Development at Laureate Education, Inc.

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 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 Mathematical Problems in Engineering, the Journal of Healthcare 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 shamimuibe@yahoo.com for any further inquiries or collaborations related to his research or teaching. Goran Trajkovski Ph.D., MSML, MSCS, MBA, currently serves as a Senior Lead College Compliance Advisor at Western Governors University. He specializes in program, courseware, and assessmentware design and development for high-demand computing and data-science disciplines, and in the regulatory and accreditation processes in the higher education domain. He has been involved in the eLearning movement since its inception, through the conceptualization, development, and deployment of more than 35 undergraduate and graduate programs in a variety of disciplines for online delivery and leading the development of more than 300 online courses. During his three decades in Higher Education, he has served in a variety of instructional and administration roles, including Dean of the School of Computer Information Systems at Virginia International University, Executive Director of Adult and Graduate Studies at Marian University, and Director of Product Strategy and Development at Laureate Education, Inc.

Specifications

  • Publisher
    IGI Global
  • Pub date
    May 2023
  • Pages
    423
  • Theme
    Artificial intelligence
  • Dimensions
    279 x 216 mm
  • EAN
    9781668471098
  • Composite package
    Composite package
  • Language
    English

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