Big Data Analytics For The Prediction Of Tourist Preferences Worldwide

Author : N. Padmaja
Publisher : Emerald Group Publishing
ISBN 13 : 1835493386
Total Pages : 145 pages
Book Rating : 4.80/5 ( download)

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Download or read book Big Data Analytics for the Prediction of Tourist Preferences Worldwide written by N. Padmaja and published by Emerald Group Publishing. This book was released on 2024-02-22 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 3319442635
Total Pages : 307 pages
Book Rating : 4.31/5 ( download)

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Download or read book Analytics in Smart Tourism Design written by Zheng Xiang and published by Springer. This book was released on 2016-10-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : N. Ayyanathan
Publisher : Shanlax Publications
ISBN 13 : 8195088406
Total Pages : 177 pages
Book Rating : 4.09/5 ( download)

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Download or read book Big Data Analytics for Business Intelligence written by N. Ayyanathan and published by Shanlax Publications. This book was released on with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: To introduce the concepts of Big data Analytics for business intelligence and predictive modeling for SMART tourism product design in the Indian tourism industry. Quantitative literature survey of the contemporary research topics and application of technologies in SMART tourism analytics. To apply the Big Data analytics and Business Intelligence concepts in the Indian tourism industry and discuss the related case studies covering various subtopics of exclusive destination branding and Market intelligence for knowledge discovery. To evolve Big Data strategy for the specific tourism product design and respective data extraction, transformation, and loading data in the Business Intelligence and data mining tools. To create attractive dashboards for SMART tourism application using storyboarding and Human-Computer Interaction techniques. Visualization techniques for descriptive data analytics and business insights. Intelligent Decision support system for Tourism destination choice.

Author : Singh, Amandeep
Publisher : IGI Global
ISBN 13 : 1799872335
Total Pages : 310 pages
Book Rating : 4.37/5 ( download)

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Download or read book Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing written by Singh, Amandeep and published by IGI Global. This book was released on 2021-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 :
Total Pages : 313 pages
Book Rating : 4.12/5 ( download)

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Download or read book Marketing and Big Data Analytics in Tourism and Events written by Hashem, Tareq Nael and published by IGI Global. This book was released on 2024-05-06 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Demir, Mahmut
Publisher : IGI Global
ISBN 13 : 1799882330
Total Pages : 906 pages
Book Rating : 4.36/5 ( download)

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Download or read book Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry written by Demir, Mahmut and published by IGI Global. This book was released on 2021-06-25 with total page 906 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Marianna Sigala
Publisher : Springer
ISBN 13 : 9811363390
Total Pages : 223 pages
Book Rating : 4.99/5 ( download)

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Download or read book Big Data and Innovation in Tourism, Travel, and Hospitality written by Marianna Sigala and published by Springer. This book was released on 2019-02-26 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Vicky Katsoni
Publisher : Springer Nature
ISBN 13 : 3031268296
Total Pages : 746 pages
Book Rating : 4.98/5 ( download)

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Download or read book Tourism, Travel, and Hospitality in a Smart and Sustainable World written by Vicky Katsoni and published by Springer Nature. This book was released on 2023-05-29 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the second volume of the proceedings of the 9th International Conference of the International Association of Cultural and Digital Tourism (IACuDiT). Held at the Syros Island in Greece in September 2022, the conference's lead theme was ‘Tourism, Travel, and Hospitality in a Smart and Sustainable World’. With a full appreciation of the contributions made by numerous writers toward the progress in tourism research, this book presents a critical academic discourse on sustainable practices in a smart tourism context, stimulating future debates and advancing knowledge and understanding in this critical area of knowledge. It also puts emphasis on the knowledge economy and smart destinations notion. It enacts new modes of tourism management and development and presents chapters on emerging technologies, such as location-based services, Internet of Things, smart cities, mobile services, gamification, digital collections and the virtual visitor, social media, social networking, and augmented reality

Author : Stanislav Ivanov
Publisher : Emerald Group Publishing
ISBN 13 : 1787566897
Total Pages : 361 pages
Book Rating : 4.97/5 ( download)

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Download or read book Robots, Artificial Intelligence and Service Automation in Travel, Tourism and Hospitality written by Stanislav Ivanov and published by Emerald Group Publishing. This book was released on 2019-10-14 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using a combination of theoretical discussion and real-world case studies, this book focuses on current and future use of RAISA technologies in the tourism economy, including examples from the hotel, restaurant, travel agency, museum, and events industries.

Author : Eleonora Bertoni
Publisher : Springer Nature
ISBN 13 : 3031166248
Total Pages : 497 pages
Book Rating : 4.42/5 ( download)

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Download or read book Handbook of Computational Social Science for Policy written by Eleonora Bertoni and published by Springer Nature. This book was released on 2023-01-23 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a small, proof-of concept, scale that prevented from unleashing its potential to provide systematic impact to the policy cycle, as well as from improving the understanding of societal problems to the definition, assessment, evaluation, and monitoring of policies. The aim of this handbook is to fill this gap by exploring ways to analyse and model data for policy support, and to advocate the adoption of CSS solutions for policy by raising awareness of existing implementations of CSS in policy-relevant fields. To this end, the book explores applications of computational methods and approaches like big data, machine learning, statistical learning, sentiment analysis, text mining, systems modelling, and network analysis to different problems in the social sciences. The book is structured into three Parts: the first chapters on foundational issues open with an exposition and description of key policymaking areas where CSS can provide insights and information. In detail, the chapters cover public policy, governance, data justice and other ethical issues. Part two consists of chapters on methodological aspects dealing with issues such as the modelling of complexity, natural language processing, validity and lack of data, and innovation in official statistics. Finally, Part three describes the application of computational methods, challenges and opportunities in various social science areas, including economics, sociology, demography, migration, climate change, epidemiology, geography, and disaster management. The target audience of the book spans from the scientific community engaged in CSS research to policymakers interested in evidence-informed policy interventions, but also includes private companies holding data that can be used to study social sciences and are interested in achieving a policy impact.