Author: Wolfgang Wörndl
Publisher: Springer Nature
ISBN: 303065785X
Category : Business & Economics
Languages : en
Pages : 587
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Book Description
This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.
Author: Çeltek, Evrim
Publisher: IGI Global
ISBN: 1799819906
Category : Business & Economics
Languages : en
Pages : 569
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Book Description
In today’s modernized society, certain technologies have become more applicable within many professional fields and are much easier to implement. This includes the tourism industry, where smart technology has provided a range of new marketing possibilities including more effective sales tactics and delivering a more personalized customer experience. As the scope of business analytics continues to expand, professionals need research on the various applications of smart technology within the field of tourism. The Handbook of Research on Smart Technology Applications in the Tourism Industry is an essential reference source that discusses the use of intelligent systems in tourism as well as their influence on consumer relationships. Featuring research on topics such as digital advertising, wearable technology, and consumer behavior, this book is ideally designed for travel agents, tour developers, restaurateurs, hotel managers, tour directors, airlines, marketers, researchers, managers, hospitality professionals, policymakers, business strategists, researchers, academicians, and students seeking coverage on the use of smart technologies in tourism.
Author: Stanislav Ivanov
Publisher: Emerald Group Publishing
ISBN: 1787566897
Category : Business & Economics
Languages : en
Pages : 361
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Book Description
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: Vinod Kumar Shukla
Publisher: CRC Press
ISBN: 1000935280
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
This informative volume on the shifting requirements of the hospitality service industry aims to incorporate smart information technology into tourism services. A resource written specifically for tourism service industry professionals, it provides a focused approach to introducing Industry 4.0-related technologies. It explains how artificial intelligence can support a company’s strategy to revolutionize the business by using smart technology most effectively. The chapters explore artificial intelligence, Internet of Things, big data, blockchain, and automation and robotics in the hospitality industry.
Author: Zheng Xiang
Publisher: Springer Nature
ISBN: 3030486524
Category : Business & Economics
Languages : en
Pages : 1976
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Book Description
This handbook provides an authoritative and truly comprehensive overview both of the diverse applications of information and communication technologies (ICTs) within the travel and tourism industry and of e-tourism as a field of scientific inquiry that has grown and matured beyond recognition. Leading experts from around the world describe cutting-edge ideas and developments, present key concepts and theories, and discuss the full range of research methods. The coverage accordingly encompasses everything from big data and analytics to psychology, user behavior, online marketing, supply chain and operations management, smart business networks, policy and regulatory issues – and much, much more. The goal is to provide an outstanding reference that summarizes and synthesizes current knowledge and establishes the theoretical and methodological foundations for further study of the role of ICTs in travel and tourism. The handbook will meet the needs of researchers and students in various disciplines as well as industry professionals. As with all volumes in Springer’s Major Reference Works program, readers will benefit from access to a continually updated online version.
Author: Waluyo, Agustinus Borgy
Publisher: IGI Global
ISBN: 1799869067
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
Mobile computing and wireless technology have grown at a phenomenal rate in recent years, and so has artificial intelligence. The most advanced software applications that the world ever witnessed can be realized through a combined aspect of these disciplines, capable of delivering high level support to various industry sectors and to people’s quality of life in general. Currently, many countries are facing challenges from the COVID-19 pandemic. One of the most impacted industries by the pandemic is that of tourism and hospitality. It is time to explore and leverage the power of mobile and wireless intelligence to assist with the recovery of the tourism and hospitality sector during and after the pandemic, which constitutes a need for relevant research in the field. Mobile Computing and Technology Applications in Tourism and Hospitality presents the latest research and development in mobile and intelligent computing with a focus on tourism and hospitality sectors. The chapters discuss the role of research on innovative technologies and applications for resilience to return the tourism and hospitality industry back to its normal state. This includes research on topics such as sensor-based technology, smart tourism, virtual and augmented reality, mobile travel applications, and more. This book is ideal for managers, executives, museum and cultural heritage specialists, app developers, IT consultants, tourism and hospitality professionals, researchers, academicians, and students.
Author: Stanislav Ivanov
Publisher: Emerald Group Publishing
ISBN: 1787566870
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
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: Christiansen, Bryan
Publisher: IGI Global
ISBN: 1799850781
Category : Business & Economics
Languages : en
Pages : 702
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Book Description
Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.
Author: Garg, Vikas
Publisher: IGI Global
ISBN: 1799884996
Category : Business & Economics
Languages : en
Pages : 351
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Book Description
There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.
Author: Johnny Ch LOK
Publisher:
ISBN:
Category :
Languages : en
Pages : 208
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Book Description
Predictive search will improve the quality of online travelling search results, and provide new insights into travelling consumers' travelling destination and package behavior and the moments which matter to them. Search will give recommendation into tailored how travelling consumer individual travelling destination choice in travelling decision making process. Several of the largest online platforms already use (AI) travelling machine learning to improve predictive travelling consumer behavioral search results. For example, Google's rank brain technology adds research by understanding the context in which the travelling consumer has entered it. Over time, rank brain will learn further from user behaviors Amazon's DSSTNE ( pronouned destiny) learns from shoppers' purchasing habits and consumption behavior to offer better product recommend actions, which Amazon can offer before a consumer has entered anything into the search bar. Such as (AI) big data can gather past online travelers' e-ticket purchase transactions to conclude that online traveler's travelling choice habits and online traveler consumption behavior to offer better travelling destinations and travelling package opinions to travel agents or airlines. However, this technology is not independent of human input. For example, Google engineers will periodically retain the rank brain system to improve the models it uses. For another example, in 2016 year , Apple computer revamped its travelling scene photos app to allow travelling consumers to search for specific travelling destinations in the travelling scene phots, they want to find anywhere travelling destination photos, not just dates and locations. Each travelling photo that an intelligent phone or intelligent pad user takes goes through 11 billion computations, so that travelling scene photos can understand exactly where is the travelling destination photography to let online travelling consumer to feel anywhere they plan to go to the location to travel. So, (AI) learning machine can make online travelling photos more attractive to influence potential travelers choose to the destination to travel after they see the travelling destination scene photos from internet.It seems that in future, (AI) machine learning will allow online travelling search to evolve even further. Search engineers will deliver refined recommendations to airlines' online traveler e-ticket search users and use less human input to predict travelling consumers' needs from internet channel. For IBM computer example, it indicated 90% of the data that exists today has been created in the last two years. This huge explosion of past traveler's e-ticket consumption data gives the opportunity to quickly spot and react to the latest trends, fashion and fads among its travelling clients and potential clients. This will allow airline or travel agent companies to better engage with younger travelling consumers, who gain influence access to the latest travelling destination and package trends. They associate with to help define who they are as individuals. Thus, travelling company brands have to identify and make use of them before travelling consumers move on, but the vast quantity of past e-ticket purchase data available makes from internet channel. This a resource-intensive task. For next example, Lesara, a based online clothes store, uses this machine learning to inform its product decision often gathering information from internal and external sources.
