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Книга посвящена рассмотрению проблем теории и практики трансформации бизнеса в эпоху интернета. В ней представлены результаты изучения комплекса междисциплинарных проблем, обусловленных развитием цифровой экономики. Рассматриваются основные направления происходящих перемен: ключевые технологии и механизмы; цифровые платформы и экосистемы; клиентоориентированность и управление маркетингом и логистикой; новая культура и компетенции; а также общие проблемы цифровой трансформации.Издание предназначено для преподавателей, аспирантов, магистрантов, а также специалистов и бизнес-консультантов.
This book addresses innovation management and product development in the cruise tourism industry. It explains how experience management has evolved from a strictly company-level, product- or service-focused tactical task to an industry-wide strategic challenge, and analyses the role of intangible reputational aspects of cruise experiences, as well as peripheral components and stakeholders, as increasingly important factors for customer acquisition and retention. Safety and risk issues are a central theme, as well as the cruise sector’s environmental and socio-economic impacts. Lastly, the book considers the increasing size of cruise vessels and the accompanying standardisation of facilities and itineraries, in conjunction with the hybridisation of cruise passengers in connection with expanding the competitive boundaries and intensity of competition in the cruise sector. The book approaches these issues as more than a mere public relations campaign, recognising the fact that they have since become the very essence of strategic cruise business development.
Despite the ever-increasing interest in eye tracking, there is still no comprehensive work on the potential and applications of table-mounted and mobile head-mounted eye tracking solutions in travel and tourism. This volume bridges that gap, effectively linking eye tracking with travel and tourism. It presents, on the one hand, novel academic contributions on the concept of eye tracking, and on the other, practice-oriented case studies that illustrate the use and strategic value of eye tracking in travel and tourism. It provides concrete and novel insights into tourist behavior and the tourist consumer experience and, for the academic community, offers a comprehensive, scientifically based o...
Legas aspects of taxation policy for higher educational institutions in Indonesia.
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer p...
A textbook for a graduate or final-year undergraduate course in tourism studies that might also find interest among researchers and practitioners who want to apply recent developments in econometric modeling and forecasting to tourism demand analysis. Song and Witt (both management in the service sector, U. of Surrey, Britain) begin with the fundamentals of tourism demand analysis, and the problems of traditional modeling and forecasting. Then they explore the general- to-specific approach, the time-varying parameter model, and the panel- data approach. Annotation copyrighted by Book News, Inc., Portland, OR
Explores sexual interactions between Egyptian men and foreign women in Dahab and South Sinai.
Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. This book introduces students, researchers and practitioners to the modern developments in advanced econometric methodology within the context of tourism demand analysis and illustrates these developments with actual tourism applications.
"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."
'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 fore...