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Innovations in digital branding and content marketing / Subhankar Das and Subhra Rani Mondal, editors.

EBSCOhost Academic eBook Collection (North America) Available online

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EBSCOhost Ebook Business Collection Available online

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Format:
Book
Author/Creator:
Das, Subhankar
Contributor:
Das, Subhankar, 1981- editor.
Mondal, Subhra Rani, 1983- editor.
Series:
Advances in marketing, customer relationship management, and e-services book series.
Advances in Marketing, Customer Relationship Management, and E-Services Book Series
Language:
English
Subjects (All):
Advertising--Research.
Advertising.
Internet marketing--Research.
Internet marketing.
Marketing research--Technological innovations.
Marketing research.
Physical Description:
21 PDFs (311 pages)
Place of Publication:
Hershey, Pennsylvania : IGI Global, cop. 2021
System Details:
Mode of access: World Wide Web.
Summary:
"This book contains research on the methods and advancements in the field of advertising and marketing using digital technologies"-- Provided by publisher.
Contents:
Chapter 1. Consumer-generated content as clues for brand trust in the digital era
Chapter 2. Understanding the value of digital marketing tools for SMEs
Chapter 3. Information processing model in consumer behaviors in health communication: an analysis of herbal cream advertisements
Chapter 4. Rising power of today's brands: digital market mavens
Chapter 5. A systematic study of integrated marketing communication and content management system for millennial consumers
Chapter 6. A systematic study of new age consumer engagement and exploration for digital entertainment for over-the-top platforms in various digital media
Chapter 7. Banking innovative service with digital brand equity for new age consumers: internet banking and millennial consumerism
Chapter 8. Usability audit model for tourism destination websites
Chapter 9. Jordanian digital learning management system model (JDLMS)
Chapter 10. Performance analysis of classification techniques with feature selection method for prediction of chronic kidney disease
Chapter 11. Comparison of performance of various machine learning classification techniques with ensemble classifiers for prediction of chronic kidney disease.
Notes:
Description based on title screen (IGI Global, viewed 09/26/2020).
Includes bibliographical references and index.
ISBN:
9781799844211
OCLC:
1197883193

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