Dòng Nội dung
1
101 ways to promote your tourism web site : filled with proven internet marketing tips, tools and techniques to get visitors to your site and your destination / Susan Sweeney
Gulf Breeze, FL : Maximum Press,2008
391 p. ;
Ký hiệu phân loại (DDC): 910.688
"Full of practical, proven techniques and step-by-step strategies, this informative resource teaches internet tourism businesses how to attract visitors and convert them into paying customers. With a design that allows each chapter to stand on its own, the book provides easy and immediate implementation for a variety of promotion strategies, including those geared for bed and breakfasts, campgrounds, and theme parks"
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2
AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots / Peter Gentsch
Cham, Switzerland : Palgrave Macmillan, 2019
xix, 271 pages : illustrations (some color), charts, tables ; 24 cm.
Ký hiệu phân loại (DDC): 658.8
This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in a more efficient and smarter way
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3
Analytics in smart tourism design : concepts and methods / Zheng Xiang; Daniel R Fesenmaier editors
Switzerland : Springer, 2017
309 pages. : color illustrations
Ký hiệu phân loại (DDC): 338.4791
This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality
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4
Build for change :revolutionizing customer engagement through continuous digital innovation /Alan Trefler.
Hoboken, New Jersey :Wiley,2014
xiii, 175 pages :illustrations ;24 cm
Ký hiệu phân loại (DDC): 658.8
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5
Business models for the social mobile cloud :transform your business using social media, mobile Internet, and cloud computing /Ted Shelton.
Hoboken, N.J. :John Wiley & Sons,2013.
xiv, 226 p. :ill. ;24 cm.
Ký hiệu phân loại (DDC): 658.872
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