The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.
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Reason Masengu is a Senior Lecturer in the Department of Business Management at Middle East College, Muscat, Oman. He has more than seven years of experience in the Higher Education sector and specializes in marketing. He holds a PhD in Business Management, a Master of Commerce in Marketing Strategy, and a Bachelor of Technology with Honours in International Marketing.
Option Takunda Chiwaridzo is a dedicated Business Development Officer with eight years of experience and a strong commitment to sustainable development. Currently pursuing a Ph.D. in Business Administration at the University of Science and Technology Beijing in China, he specializes in researching strategies for sustainable marketing, branding, and reputation management, with an expected graduation in June 2024. With four years of experience as a Lecturer at Ezekiel Guti University in Zimbabwe and two years as an Assistant Manager at Dros Centurion in South Africa, Option has honed his skills in academia and business management. He has published eight journal articles, two book chapters and authored two books, “Sustainable Marketing, Branding, and Reputation Management: Strategies for a Greener Future” and “Sustainable Practices for Agriculture and Marketing Convergence,” with several other papers under review. Option is poised to graduate with over ten publications, demonstrating his dedication to research and academic excellence.
Mercy Dube is a lecturer in the Department of Information and Marketing Science at Midlands State University Faculty of Business Sciences, Gweru, Zimbabwe, Her research interests are in Digital Marketing, Social Marketing, Consumer buying behavior and Relationship Marketing. She has published some articles on the mentioned areas of interests. She is involved in lecturing courses in digital marketing, e-commerce, consumer behavior and neuro-marketing aspects of branding.
Benson Ruzive is a PhD student with University of Kwa-Zulu Natal a South African university. He is currently employed by Modern College of Business Science one of the leading institutions of Higher Education in Middle East as a lecturer in the Department of Business and Economics. He has worked for both the private sector and public institutions over the last 30 years. He is a supply chain management expert, with over 25 years experience in both the private and public sectors, apart from lecturing public procurement at undergraduate level.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. AI-Driven Marketing Research and Data Analytics | Reason Masengu (u. a.) | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9798369344866 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 129007331
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