Management Science Applications In Tourism And Hospitality

Management Science in Hospitality and Tourism is a timely and unique book focusing on management science applications. The first section of the book introduces the concept of management science application in hospitality and tourism and related issues to set the stage for subsequent sections. Section II focuses on management science applications with conceptual pieces, empirical applications, and best practices with examples coming from different parts of the world and settings. The last section ends with a chapter focusing on challenges and future research directions. This book goes beyond revenue management topics and presents a broad range of topics in management science applications as they relate to hospitality and tourism cases. Researchers and students in hospitality and tourism will find this book very useful since it contains chapters on data analytics, e-commerce and technology, revenue and yield management, optimization methods, resource allocation, goal programming, dynamic programming, Markov chain models, trends analysis and detection, measuring potential and attractiveness in tourism development, performance measures and use of indices in hospitality and tourism, and more. There is a heightened interest in these areas of business applications in today’s data-driven business environment, and this book addresses that interest. This book is the only comprehensive text on management science applications in hospitality and tourism. It will help managers and hospitality and tourism students as future managers to develop an in-depth understanding of the importance of data analysis, interpretation, and generating information, and intelligence for decision making. It covers a broad range of applications representing different geographic regions of the world.

Management Science in Hospitality and Tourism is a timely and unique book focusing on management science applications. The first section of the book introduces the concept of management science application in hospitality and tourism and related issues to set the stage for subsequent sections. Section II focuses on management science applications with conceptual pieces, empirical applications, and best practices with examples coming from different parts of the world and settings. The last section ends with a chapter focusing on challenges and future research directions. This book goes beyond revenue management topics and presents a broad range of topics in management science applications as they relate to hospitality and tourism cases. Researchers and students in hospitality and tourism will find this book very useful since it contains chapters on data analytics, e-commerce and technology, revenue and yield management, optimization methods, resource allocation, goal programming, dynamic programming, Markov chain models, trends analysis and detection, measuring potential and attractiveness in tourism development, performance measures and use of indices in hospitality and tourism, and more. There is a heightened interest in these areas of business applications in today’s data-driven business environment, and this book addresses that interest. This book is the only comprehensive text on management science applications in hospitality and tourism. It will help managers and hospitality and tourism students as future managers to develop an in-depth understanding of the importance of data analysis, interpretation, and generating information, and intelligence for decision making. It covers a broad range of applications representing different geographic regions of the world.

Find out how accurate forecasting and analysis can prevent costly mistakes! Management Science Applications in Tourism and Hospitality examines innovative tools for evaluating performance and productivity in tourism offices, hotels, and restaurants. This collection of recent studies focuses on two important topics of management science: forecasting and a relatively new analytical methodology called data envelopment analysis (DEA). This book will show you how tourism forecasting accuracy can be enhanced and how DEA can be used to benchmark productivity and improve advertisement efficiency. Management Science Applications in Tourism and Hospitality provides you with a useful blend of analysis from both theory and real-data perspectives. This book uses case studies, application techniques, and expert advice to review various productivity measurement methods and compare them to DEA, revealing DEA’s strengths, weaknesses, and its potential in the operating environment. With Management Science Applications in Tourism and Hospitality, you’ll be able to: utilize destination benchmarking perform multiunit restaurant productivity assessments using DEA conduct hotel labor productivity assessments using DEA measure and benchmark productivity in the hotel sector using DEA model tourism demand use an improved extrapolative hotel room occupancy rate forecasting technique forecast short-term planning and management for a casino buffet restaurant apply city perception analysis (CPA) for destination positioning decisions This book is generously enhanced with tables and figures to substantiate the research. Management Science Applications in Tourism and Hospitality is valuable for hospitality and tourism educators and graduate students learning and doing research in operation analysis. Savvy executives and professionals who want to improve efficiency in their industry will also benefit from the techniques illustrated in this timely guide.

Management Science in Hospitality and Tourism is a timely and unique book focusing on management science applications. The first section of the book introduces the concept of management science application in hospitality and tourism and related issues to set the stage for subsequent sections. Section II focuses on management science applications with conceptual pieces, empirical applications, and best practices with examples coming from different parts of the world and settings. The last section ends with a chapter focusing on challenges and future research directions. This book goes beyond revenue management topics and presents a broad range of topics in management science applications as they relate to hospitality and tourism cases. Researchers and students in hospitality and tourism will find this book very useful since it contains chapters on data analytics, e-commerce and technology, revenue and yield management, optimization methods, resource allocation, goal programming, dynamic programming, Markov chain models, trends analysis and detection, measuring potential and attractiveness in tourism development, performance measures and use of indices in hospitality and tourism, and more. There is a heightened interest in these areas of business applications in today’s data-driven business environment, and this book addresses that interest. This book is the only comprehensive text on management science applications in hospitality and tourism. It will help managers and hospitality and tourism students as future managers to develop an in-depth understanding of the importance of data analysis, interpretation, and generating information, and intelligence for decision making. It covers a broad range of applications representing different geographic regions of the world.

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.

Geographic information systems (GIS) provide information that can be useful across many disciplines. One of these disciplines is the travel and hospitality industry. GIS Applications in the Tourism and Hospitality Industry is a vital scholarly publication that explores the applications of GIS to the leisure travel industry, specifically the importance of GIS in trip planning, online bookings, and location-based services. Highlighting coverage on a wide range of topics such as cultural heritage tourism, geospatial collaborative tourism recommender systems, and decision support systems, this book is geared toward business managers, academicians, researchers, graduate-level students, and professionals looking for current research on the impact of GIS on recreational travel.

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau

"This book is a comprehensive source of information for those interested in tourism and hospitality management, approaches, and trends, and, covers the emerging research topics that will define the future of IT and cultural development in the 21st century"--Provided by publisher.