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Author: N. Padmaja
Publisher: Emerald Group Publishing
ISBN: 1835493386
Category : Business & Economics
Languages : en
Pages : 145
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Book Description
Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.
Author: N. Padmaja
Publisher: Emerald Group Publishing
ISBN: 1835493386
Category : Business & Economics
Languages : en
Pages : 145
Get Book Here
Book Description
Big Data Analytics for the Prediction of Tourist Preferences Worldwide explores the benefits, importance and demonstrates how Big Data can be applied in predicting tourist preferences and delivering tourism services in a customer friendly manner.
Author: Zheng Xiang
Publisher: Springer
ISBN: 3319442635
Category : Business & Economics
Languages : en
Pages : 309
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Book Description
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.
Author: Singh, Amandeep
Publisher: IGI Global
ISBN: 1799872335
Category : Business & Economics
Languages : en
Pages : 310
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Book Description
The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies.
Author: Hashem, Tareq Nael
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 313
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Book Description
In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.
Author: Roland Schegg
Publisher: Springer
ISBN: 3319511688
Category : Business & Economics
Languages : en
Pages : 774
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Book Description
This book presents state-of-the-art research into the application of information and communication technologies to travel and tourism. The range of topics covered is broad, encompassing digital marketing and social media, mobile computing and web design, semantic technologies and recommender systems, augmented and virtual reality, electronic distribution and online travel reviews, MOOC and eLearning, eGovernment, and the sharing economy. There is a particular focus on the development of digital strategies, the impact of big data, and the digital economy. In addition to the description of research advances and innovative ideas, readers will find a number of informative industrial case studies. The contents of the book are based on the 2017 ENTER eTourism conference, held in Rome. The volume will be of interest to all academics and practitioners who wish to keep abreast of the latest developments in eTourism.
Author: Demir, Mahmut
Publisher: IGI Global
ISBN: 1799882330
Category : Business & Economics
Languages : en
Pages : 906
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Book Description
The tourism sector has been deeply affected particularly in economic terms by the COVID-19 pandemic. This crisis has led to new practices and radical changes. Scientists emphasize that mankind will face pandemics more frequently in the forthcoming years. Thus, it is important to understand the negative impacts the COVID-19 pandemic had on the tourism sector as well as the measures that were and are being put in place to protect the industry during future outbreaks. The Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry is a comprehensive reference source that reflects upon the evaluations of the experienced and ongoing pandemic crisis in the context of the tourism sector. The positive and negative effects experienced by tourism employees and tourists are examined, and post-pandemic processes and business practices are evaluated. Covering topics including consumer rights in tourism, dynamic changes in the tourism industry, and employment in tourism, this book is suitable for travel agencies, restaurateurs, hotel managers, brand managers, marketers, advertisers, managers, executives, hospitality personnel, policymakers, government officials, tourism practitioners, students, academicians, and researchers seeking the latest sustainable policies and practices that are being utilized to increase the productivity of the tourism sector and will allow it to thrive in the years to come.
Author: Douglas Frechtling
Publisher: Routledge
ISBN: 113640242X
Category : Business & Economics
Languages : en
Pages : 279
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Book Description
'Forecasting tourism demand' is a text that no tourism professional can afford to be without. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. Building on the success of 'Practical Tourism Forecasting' this text looks at 13 methods of forecasting and with a user friendly style, 'Forecasting Tourism Demand' guides the reader through each method, highlighting its strengths and weaknesses and explaining how it can be applied to the tourism industry. 'Forecasting Tourism Demand' employs charts and tables to explain how to: * plan a forecasting project * analyse time series and other information * select the appropriate forecasting model * use the model for forecasting and evaluate its results Ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists. Executives who rely on forecasts prepared by others will find it invaluable in assisting them to evaluate the validity and reliability of predictions and forecasts. Those engaged in analysing business trends will find it useful in surveying the future of what has been called the largest industry in the world.
Author: El Archi, Youssef
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
In the age of digital transformation, the tourism industry faces a pressing challenge: balancing the growing demand for travel with the imperative to protect the environment and preserve local cultures. The rise of digital platforms has revolutionized how people plan, book, and experience travel, but it has also intensified concerns about overtourism, cultural commodification, and environmental degradation. Without thoughtful intervention, these trends threaten to undermine the destinations travelers seek to explore. Promoting Responsible Tourism With Digital Platforms offers a comprehensive solution by exploring how digital platforms can be leveraged to promote responsible travel practices. By examining case studies, theoretical frameworks, and the latest technological advancements, the book provides actionable insights for policymakers, industry professionals, and travelers alike. It serves as a roadmap for integrating responsible tourism principles into the digital landscape, ensuring that tourism remains sustainable and beneficial for all stakeholders.
Author: S. Jyothi
Publisher: Springer Nature
ISBN: 3030469433
Category : Mathematics
Languages : en
Pages : 488
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Book Description
This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.
Author: Marianna Sigala
Publisher: Springer
ISBN: 9811363390
Category : Business & Economics
Languages : en
Pages : 227
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Book Description
This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.
