Download or read book Is Prediction Tourism More Easy Than Publish Consumer Behavior written by Johnny Ch Lok and published by Createspace Independent Publishing Platform. This book was released on 2018-09-13 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: My aim research this two questions: (1) What factors influence to predict tourism consumer behavior ( e-travel ticket or paper ticket buyer) more easy than publish consumer behavior ( e-book or paper book buyer) ? (2) Why and how can artificial intelligent tool predict traveler entertainment behavior more easy than book buyer reading behavior? The first part explains online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, publishing industry competition is serious. Electronic books, newspapers will be popular to let readers have more reading method to choice. So, publishers need to consider what factors can attract readers to choose to read their books, magazines, journals, newspapers in order to avoid reading customer number reduces as well as they choose other medias to replace their reading medias. In second part, it concerns how to attract readers' reading interest to persuade them to choose to buy the publish firm's books to read? It is one interesting question to every publisher. I shall explain what factors can influence the readers to keep positive attitude to read the publishers' reading products as well as how to solve any readers' reading interest loses to the publishers' reading product challenges in order to avoid its reading customer number reduces. It is one reading consumption psychological research topic book for every interesting reading psychological publishing industry readers. The Three part aims to explain what strategies will be different between online and offline travel agents as well as I shall indicate how to apply (AI) tool to predict traveler behavior . To indicate what are online travel and general travel service strategy difference aspect. I shall indicate what are the strengths and weaknesses between online and offline travel agents? How can online travel agents win offline travel agents or how can offline travel agents win online travel? Why do travel consumers either choose online travel agents or offline travel agents to help them to arrange travel trips? What factors will change their mind to influence them to choose to buy electronic air ticket or paper air ticket from either offline travel agents or online travel agents? For example, I shall general investigating methods to predict travel behavioural consumption, such as qualitative of travel behavioural method, advanced traveler information systems (ATIS) method, online tourism sale channel method, actively based patterns of urban population of travel behavioural prediction method, trip based versus activity based approaches of method. Also, I shall explain how to predict the future number travel age target, it includes both the senior age group and young age group in order to how to attract these two different travel age target group. I shall indicate how to use psychological method to predict travel behavioral consumption.

Download or read book Prediction Tourism and Publish Consumer Behavior Difference written by Johnny Ch LOK and published by . This book was released on 2018-11-22 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter FiveHow electronic versus traditional print textbook influence of university students' learning behavior When one university student was accepted by electronic text book learning channel to replace traditional paper text book learning channel ( methods). Electronic text book will bring what positive or/and negative influence to impact whose learning behavior changes. For example, electronic text book learning method will bring positive impact to raise the student's examination grades and perceived learning scores or it will bring negative impact to fall down the student's examination grades and perceived learning scores. The mean scores indicated that students who choose to text books for their learning aim. It will have significantly higher perceived affective learning performance and examination results. Thus, the purpose of student learning and teacher teaching method, every university needs to examine whether it is efficient to raise student learning effort to replace paper text book learning method in any learning environment, e.g. many students and one teacher classroom learning environment or the independent student learns himself/herself at home learning environment or library learning environment.Can text book reading tool bring absolute advantages to university students or bring some disadvantages to them? When a student needs to apply e-text book to learn, who needs access e-text book in a static location, such as a computer or on a mobile device. So, the e-text book in a static location factor, it will have influence to each student reading or learning behavior to bring negative and/or positive both impacts.The e-text book was distributed on a CD and installed on a located computer. This limited the user to accessing the e-textbook in a single location and eliminated the potential access to the e-text book on due to the lack of mobility. So, it seems that the location of limited to e-text book will bring negative impact to let the student can only learn in a fixed location because he/she will feel difficult to move heavy computer to other places to learn more than on paper text book. So, e-text book location can not allow the student to leave the classroom to learn more easier if he/she had chose to use to computer to install the CD to learn in the classroom. Supposing the student 's teacher needs the student often to leave the classroom to discuss any matter suddenly, it is not very convenient to the student to use e-text book to learn because he/she can not move the computer to leave the classroom with him/her easily. Then, it will be possible to influence the student can bot be attention to read the e-text book, when the teacher needs the student to leave the classroom ( none book bringing ) to discuss any time any time immediately. Otherwise, if the student used one paper book to read/learn in the classroom, if the teacher needs whom to leave the classroom often to discuss immediately. He/she will feel convenient to learn because he/she can bring the light paper book to leave the classroom to discuss with the teacher in any location easily.Hence, it seems e-text book learning will bring not convenient fixed location learning environment to every e-texting learning student in classroom, when, he/she needs often to leave the classroom to discuss with the teacher any time.Other disadvantage of e-text learning will bring students feel difficult in possible. In the past, some learning researcher experiments indicated results demonstrated that student participants in both groups had similar recall and ability to reinterpret information suggesting that retrieval of information is not effected by kindle e-book reader e-text book, a tabled computer e-text book or a print version.

Download or read book Prediction Publish and Tourism Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction This book divides three parts. The first part, I shall explain what the strategies differences are between online and offline book shops. The second part, I shall indicate how and why online and offline publishers need to learn how to predict readers' reading behavior. The third part, I shall explain how to apply artificial intelligent tool to predict traveler behavior as well as I shall indiate what the strategies differences are between online and offline tourism service. The first part explains online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, online and offline book shop competition is serious. Book readers have these both channel to choose to buy either electronic book or paper book to study. How can traditional offlince book shop achieve strategy to compete online book shop ? What are online book shop weaknesses or strengths? What are traditional offline book shop weaknesses or strengths? What is future book publishing development trend? These questions will have suggestions to be given to book publishers to let them to learn more marketing strategies. Nowadays, publishing industry competition is serious. Electronic books, newspapers will be popular to let readers have more reading method to choice. So, publishers need to consider what factors can attract readers to choose to read their books, magazines, journals, newspapers in order to avoid reading customer number reduces as well as they choose other medias to replace their reading medias. In second part, it concerns how to attract readers

Download or read book Consumer Behavior in Tourism and Hospitality Research written by Arch G. Woodside and published by Emerald Group Publishing. This book was released on 2017-08-09 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this volume provide tools and evidence useful for deep understanding of tourists’ buying, consumption, and being through examinations of consumers’ self-descriptions of personal markers of their trip configurations.

Download or read book Consumer Behavior in Tourism and Hospitality Research written by Arch G. Woodside and published by Emerald Group Publishing. This book was released on 2017-08-09 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters in this volume provide tools and evidence useful for deep understanding of tourists’ buying, consumption, and being through examinations of consumers’ self-descriptions of personal markers of their trip configurations.

Download or read book Learning Big Data Gathering to Predict written by Johnny Ch LOK and published by . This book was released on 2018-10-08 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: IS (AI) big data gathering method a better psychological method to compare human marketing research method predict travel behavioral consumption? On the psychological view point, I think individual traveler's character will have those kind of personal characteristics. First, simplicity searchers value above everything ease not transparency in their travel planning and holiday making, and are willing to avoid having to go through extensive research. Second, cultural purists use their travel as an opportunity to immerse themselves in an unfamiliar looking to break themselves entirely from their home lives and engage. Sincerely with a different way of living. Third, social capital seekers understand that to be well travelled is a personal quality, and their choices are shaped by their desire to take maximum of social reward from their travel. They will exploit the potential of digital media to enrich and inform their experiences, and structure their adventures always keeping in mind they are being watched by online audiences. Finally, reward hunters seek a return on the investment who make in their busy , high-achieving lives. Linked in part to the growing trend of wellness, including both physical and mental self-improvement who seek truly extraordinary and often indulgent or luxurious' must have experiences. Why needs to know the personal character of individual traveler's characteristics? Because if travel agents could feel which kinds of individual traveler's character, then who can predict which kind of travel package to design to them more easily. For example, how to determine future travel behavior from past travel experience and perceptions of risk and safety? We need to concern that the influences of past international travel experience, types of risk associated with international travel and the overall degree of safety feeling during international travel on individual's travelling experiences likelihood of travelling to various geographic regions on their next international vacation trip or avoidance of those regions, due to perceived risk. Because individual traveler's experience of safety risk degree to the countries, it will influence who chooses to go to the countries/country to travel again. Why travelers avoid certain destinations are as relevant decision making as why who choose to go to the country(countries) to travel. Perceptions of risk and safety and travel experiences are likely to influence travel decisions; efforts to predict future travel behavior can benefit to individual tourist's decision making.

Download or read book Artificial Intelligence Big Data Gathering Consumer Behavior Prediction written by Johnny Ch Lok and published by . This book was released on 2018-09-24 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to analyze activity based travel demand ? Nowadays, human are concerning the traffic congestion and air quality deterioration, the supply oriented focus of transportation planning has expanded to include how to manage travel demand within the available transportation supply. Consequently, there has been an increasing interest in travel demand management strategies, such as congestion pricing that attempts to change aggregate travel demand. The prediction aggregate level, long term travel demand to understanding disaggregate level ( i.e. individual levels ) behavioral responses to short term demand policies, such as ride sharing incentives, congestion pricing and employer based demand management schemes, alternate work schedules, telecommuting limitation of travel agent traditionally work nature shall influence oriented trip based travel modelling passenger travel demand indirectly. Finally, online travel purchase will be popular to influence the number of travel behavioural consumption nowadays. Any travel package products can be sold from websites to attract travellers to choose to prebook air ticket for any trips conveniently. In the past ten years, the internet has become the predominant carrier of all types of information and transactions. Regarding travel decisions, internet has also become an important sales channels for the travel industry, because it is associated with comparably lower distribution and sales costs, but also because ir adapts to hign supply and demand dynamics in this industry. Consequently, the travel and tourism industry tries to increase the internet sale specific share of sales volumes. So, internet sale channel has changed travel consumption behavioural pattern and characteristics and travel experience. For example, Switzerland has one of the highest population-to-computer ratio in Europe. It is also one of the most highly internet penetrated countries in terms of use of the WWW on a day-to-day basis, with more than 75 percent of the population older than 14 years using the WWW daily ( ICT, 2005). The reason of booking online tourism may include: convenience, fast transaction, finding traveling package choice easily, more airline seats available. So, online booking tourism will influence the traditional tourism agents visiting of sales and air tickets and travelling package numbers to be decreased. Finally, the online booking tourism market shares will be expanded to more than traditional tourism agents visits sale market in the future one day. So, the travel agents who still use the traditional tourism visiting sale channel which ought raise whose features to compare to differ to online tourism sale channel if these traditional touriam agents want to keep competitive ability in tourism industry for long term.

Download or read book Past Travel Behaviour Predicts Future Travel Behaviour Methods written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-28 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to determine future travel behavior from past travel experience and perceptions of risk and safety for the benefits to travel consumers? How to determine future travel behavior from past travel experience and perceptions of risk and safety for the benefits to travel consumers? Why does individual traveler avoid certain destination(s) is(are) as relevant to tourist decision making as why who chooses to travel to others. Perceptions of risk and safety and travel experience are likely to influence travel decisions. If travel agents had efforts to predict future travel behavior to guess whether travelers will feel where is(are) risk and unsafe to cause who does not choose to go to the country to travel. Then, the travel agents will avoid to choose to spend much time to design the different traveling package to attract their potential travel consumers to choose to travel. The reason is because in the case of individual traveler's tourism experience, the traveler whose past disappointment travel experience ( psychological risk) will be a serious threat to the traveler's health or life ( health, physical or terrorism risk). The past safety or unhealthy risk to the country(countries) will influence the traveler decides to choose not to go to the countries(country) to travel again in the future.What is push and pull factors to influence anytraveler who chooses where is whose preferable travelling destinationHow to predict individual traveler's behavioral intention of choosing a travel destination. Understanding why people travel and what factors influence their behavioral intention of choosing a travel destination is beneficial to tourism planning and marketing. In general, an individual's choice of a travel destination into two forces. The first force is the push factor that pushes an individual away from home and attempt to develop a general desire to go somewhere, without specifying where that may be. The other force is the pull factor that pull an individual toward in destination, due to a region-specific or perceived attractiveness of a destination. The respective push and pull factors illustrate that people travel because who are pushed by whose internal motives and pulled by external forced of a destination. However, the decision making process leading to the choice of a travel destination is a very complex process. For example, a Taiwanese traveler who might either choose new travel destination of Hong Kong or another old travel Asia destinations again or who also might choose any one of Western country, as a new travel destination. The travel agents can predict where who will have intention to choose to travel from whose past behavior and attitude, subjective and perceived behavioral control model.The factors influence where is the traveler choice, include personal safety, scenic beauty, cultural interest, climate changing, transportation tools, friendliness of local people, price of trip, trip package service in hotels and restaurants, quality and variety of food and shopping facilities and services etc. needs. So, whose factors will influence where is the individual travel's choice. It seems every traveler whose choice of travel process, will include past behavior. e.g. travelling experience, travelling habit, then to choose the best seasoned travelling action to satisfy whose travel needs. This process is the individual traveler's psychological choice process, who must need time to gather information to compare concerning of different travel packages, destination scene, climate change, transportation tools available to the destination, air ticket price etc. these factors, then to judge where is the best right destination to travel in the right time.

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.

Download or read book Predicting Fluctuation Impacts Traveller Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-02-13 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: ChapterOneCultural distance on satisfaction and respect travel intentionEvery country cultural difference is different. How and why cultural difference has a real impact on tourist satisfaction and it can also influence to repeat travel. Is cultural tourism one major factor to influence tourist to repeat travelling intention or choice to the country in international tourism choice market? For example, China and India have similar culture. Their cultural difference is not much, e.g. eating cultural habit is similar, entertainment cultural habit is similar. These both countries people do not want to spend much money in eating and entertainment both aspects. Hence, these two countries people do not consider how to consume to enjoy entertainment and eat expensive food. Hence, it is based on cultural similar reason. These both countries tourists will prefer to choose to repeat travelling either China or India. When the Indian tourists had chosen to go to China to travel in the first time. Then, the Indian tourists will choose to go to China to travel in second time again. Also, the Indian tourists had chosen to go to China to travel in first time. Then, the Chinese tourists will choose to go to India to travel in second time again. What factors influence China and India touists repect to travel between these both countries. The factors will include cheap air ticket price, cheap hotel living price, less economic cost factor. However, I believe the similar cultural factor will be the major factor to influence many Chinese and Indian tourist prefer to choose to repeat travelling between these both countries. As my indication to these both countries people have similar eating habits, choosing foods, low health foods, common foods choice eating at cheap restaurant habitual consumption. Also, they have similar entertainment habits, their entertainment demad is not high. They like to ride bicycles to go to anywhere to travel. They like to go to swim, play backetball, football etc. sports. These all sports are cheap sport consumption. So, it based on similar individual low enjoyment demand and low health, food quality demand similar cultural factors. Chinese and Indian people have no long distance cultural difference between eating and entertainment habitual factor will include them to choose to repeact travelling between these both countries. Due to China and India have many restaurants can provide cheap food or sport service providers can provide diffent kinds of cheap sport entertainment consumption to satisfy their cheap food and cheap entertainment needs in their journey in China or India anywhere. So, it explains that why these both countries tourists will repeat to travel these both countries again after they had visited China or India to travel in first time. So, the similar cultural factor can impact these both countries tourists to repeat to go to these both countries to travel again. Hence, if these two countries' cultural distance is far or different, then themselves countries' tourists won't choose to repeat travel between themselves when these two countries for cultural distance toutists had visited to another country in first time. Hence, culture has been continuously considered as a much factor which tourists consider in terms of choice of the destination travelling place. Also, it explains cultural distance which can make tourist individual has less satisfaction to concern to tourists to repeat travels.

Download or read book Consumer Behaviour in Hospitality and Tourism written by Saurabh Kumar Dixit and published by Routledge. This book was released on 2021-09-15 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumer behaviour includes individual decision-making (IDM). IDM has implications in customer satisfaction, loyalty, and other behavioural intentions toward the organisations’ products and services. Consumer Behaviour in Hospitality and Tourism targets to study consumers and tourists in different leisure and touristic places such as hotels, convention centres, amusement parks, national parks, and the transportation sector. The aim of this book is to provide a broad view of novel topics and presents the current scenario in the hospitality and business arena. This edited volume has seven chapters and each chapter addresses varied themes relating to consumer behaviour, ranging from sustainable tourism, environmental issues, and green tourism to the impact of hotel online reviews using social media. It will be of great interest to researchers and scholars interested in Consumer Behaviour, Hospitality, and Tourism. The chapters in this book were originally published as a special issue of the Journal of Global Scholars of Marketing Science.

Download or read book Consumer Psychology of Tourism Hospitality and Leisure written by Arch G. Woodside and published by CABI. This book was released on 2001 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on papers given at the 2nd Symposium on Consumer Psychology of Tourism, Hospitality and Leisure (CPTHL) in Vienna in July 2000. The Symposium comprised papers reflecting the progress in consumer psychology theory and research. The Vienna Symposium put special emphasis on consumer decision making for evaluating choice alternatives in tourism, leisure, and hospitality operations. The reports have been arranged into five major compartments.

Download or read book Consumer Behaviour in Tourism written by Susan Horner and published by Routledge. This book was released on 2016-04-28 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now fully revised and updated, the third edition of this bestselling text provides students with a vital understanding of the nature of tourism and contemporary tourists behaviour in political, social and economic context and how this knowledge can be used to manage and market effectively in a variety of tourism sectors including: tourism operations, tourist destinations, hospitality, visitor attractions, retail travel and transport. This third edition has been updated to include: New material on the impacts of IT on research and marketing communications, the rise and influence of social media and virtual technology, the growth in the interest of sustainable tourism products including slow food, the experience economy and new consumer experiences including fulfilment. New international case studies throughout including growth regions such as the Middle East, Russia, Europe, China, India and Brazil. New companion website including Power point slides and a case archive. Each chapter features conclusions, discussion points and essay questions, and exercises, at the end, to help tutors direct student-centred learning and to allow the reader to check their understanding of what they have read. This book is an invaluable resource for students following tourism courses.

Download or read book Psychology Methods Predict written by Johnny Ch Lok and published by . This book was released on 2021-04-26 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: ⦁Can predict consumer behavior with web search?In behavioral economy view point, it can be applied to predict why consumers buy products from internet. Recent work has demonstrated that web search volume can "predict the present", meaning that can be used to accurately track outcomes, such as unemployment levels, auto and home sales and disease prevalence in near real time. Consumers are searching what for online can also predict their collective future behavior days or even weeks in advance. For example, specifically businessmen can use search query volume to forecast the opening weekend box-office revenue for feature films, first month sales of video games and the rank of songs, finding in all case that search counts are highly predictive of future outcomes from online google research. Finally, businessmen can reexamine previous work on tracking trends and show that, perhaps surprisingly, the utility of search data relative to a simple auto regressive model is modest.Nowadays, people increasingly use the internet for news, information and research purposes. From this perspective, it is a short step to conclude that what people are researching for today is predictive of what who will do in the near future. For example, consumers may search to prepare to buy a new camera, moviegoers may search to determine the opening date of a new film, or to locate cinemas showing it and individuals planning a vacation may search from a places of interest, to find airline tickets, or to price hotel rooms. So online can aggregately count of search queries related to retail activity. Movie going or travel might be able to predict collective behavior of economic, cultural, or political interest. Determining the nature of behavior that can be predicted using search, the accuracy of such predictions and the time scale over which predictions can be usefully made are therefore all questions of interest. Researchers have focused on the observation that search " predicts the present". For example, Ettredge et al (2005) found that counts of the top 300 search terms during 2001 to 2003 year were correlated with US Bureau Of Labor statistics Unemployment Figures; Cooper (2005) et al found that search activity for specific cameras during 2001 to 2003 year correlated with their estimated incidence and Eysenbach (2006) found a high correlation between clicks on sponsored search results of flu-related keywords and epidemiolopical data from the 2004 to 2005 year Canadian flu season.Thus, motivated, I indicate one example how investigates whether search activity is a systematic leading indicator of consumer activity by forecasting. For first example, supposing to opening weekend Box-office revenue for 119 feature films released in the united States between Oct. 2008 year and Sept. 2009. For second example, supposing to first month sales of video games across all gaming platforms, e.g. Xbox, Play station etc.) for 106 games released between Sept. 2008 and Sept. 2009 year. These search data can be collected from yahoo using research rank from the current and previous weeks. Can online search also predict the near future? A finding that may apply usually to a wide range of consumer behaviors, e.g. airline travel, hotel vacancy rates and auto sales and economic indicators, e.g. real-estate prices, credit card and confidence indicators. It seems all research based predictions simply models to build on publicly available information. For movies, baseline predictions can be used a linear model that includes production budgets, the number of screens on which each movie opened and box office projections from the Hollywood Stock Exchange (HSX) ( hsx.com) on online, play money prediction market that is known to generate information prediction. For video games, many of the key indicators of revenue, including production budgets and initial available.

Download or read book Consumer Behavior in Travel and Tourism written by Kaye Sung Chon and published by Routledge. This book was released on 2012-10-12 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing original and previously unpublished theoretical and empirical studies, Consumer Behavior in Travel and Tourism will give professionals, professors, and researchers in the field up-to-date insight and information on trends, happenings, and findings in the international hospitality business arena. A great resource for educators, this book is complete with learning objectives, concept definitions, and even review questions at the end of each chapter. From this book, readers will understand and learn the needs and preferences of tourists and how to investigate the process of destination and product selection to help provide customers with products and services that will best meet their needs. In today's highly competitive business environment, understanding travel behavior is imperative to success. Consumer Behavior in Travel and Tourism brings together several studies in one volume, representing the first attempt to explore, define, analyze, and evaluate the consumption of tourist and travel products. This guide offers essential research strategies and methods that enables readers to determine the wants and needs of tourists, including: discussing and evaluating the main factors that affect consumer behavior in travel and tourism, such as travel motivation, destination choice, and the consequent travel behavior exploring the various decision-making processes of consumers that leads to consequent destination choices through case study analysis and marketing suggestions determining customer expectations of products through a variety of research techniques in order to find ways of improving satisfaction examining selected research tools, such as product positioning and repositioning and using perceptual maps, to evaluate the market implications of using qualitative and/or quantitative research techniques detecting and analyzing the relative roles individual, environmental, socioeconomic, and demographic factors play in choosing travel destinations Full of detailed charts and graphs, Consumer Behavior in Travel and Tourism illustrates key points to give you a better understanding of important facts and findings in the field.

Download or read book Demand and Supply Theory Predicts written by Johnny Ch Lok and published by . This book was released on 2020-11-12 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can apply demand and supply theory raises basic stable income consumer consumption desireEconomists aim to develop models of human behavior and interactions in consumption markets. But consumers behave in complex ways, such as how to predict consumers to make rational decisions in consumption processes. Moreover, self-consumption control and motivation can vary significantly across different individual consumer.In order to build useful consumption prediction models, economists make simplifying assumptions, aims to predict how to raise stable basic income consumer target group consumption more success. However, behavioral economy method is one kind of accurate consumption prediction method. It can be applied to predict economic decision-making to every consumer consumption choice more accurate raising whose consumption desire?I shall indicate how to apply different behavioral economy methods ( demand and supply theory) to raise stable basic stable income target consumer group consumption desire in these different consumption situation ( consumption environment) aspects as below:1.Stable basic stable income consumer group consumption great or small amount desireThe consumption of products and services is a fundamental part of consumer's welfare. Basically, every one who has stable basic stable income, who will like to consume any products and services. Even, consumption great or small amount desire won't be depended on whether the person whose income is more or less. It means low income level of people will still like to consume great amount to buy expensive products or consume expensive services, because consumption is human's part of life and basic needs. This stable basic income people will like to consume, because they have stable income source when they do not worry about unemployment occurrence to cause them have no enough money to support their life. Otherwise, non-stable basic stable income people won't like to consume because they feel they have no stable basic income source to support their life and they will worry about unemployment occurrence any time. Hence, stable basic income people will have more consumption desire to compare non-stable basic stable income people in any countries usually. Behavioral economic method indicates they feel their economic benefits will be loss if they planned to buy any products or consume any services easily. So, they prefer to save money in bank more than consumption.Prediction traveller individual tourism entertainment package choice from psychology view and computer statistic view. How to predict travel consumption? It is one question to any travel agents concern to use what methods which can predict how many numbers of travelers where who will choose to go to travel more accurately. I think that who can consider how to predict travel behavioral consumption from psychology view and computer science view both.On the psychology view, It has evidence to support the relationship between self-identify threat and resistance to change travel behavior to any travelers, controlling for whose past travelling behavior, resistance to change if a psychological phenomenon of long standing interest in many applied branches of psychology. Past travelling behavior has been acknowledged as a predictor of future action. Such as travelling behavior that is experienced as successful is likely to be repeated and may lead to habitual patterns. Some psychologists differentiate habit between two concepts, such as goal oriented and automatic oriented both. Although repeated past travelling behavior is addition goal oriented and automatic oriented. Further non-deliberative nature of habit may make appeals to judge and to predict future individual traveler's behaviour accrately. However, repeated travelling behavior without a necessary constraint of goal orientation and automatic oriented both.

Download or read book Comparison AI and Psychological Methods to Predict written by Johnny Ch LOK and published by . This book was released on 2021-04-21 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) tool technical innovation in cruise tourism immediate positive emotion influence to cruise travelling consumers Can apply (AI) tool to cause positive emotion to cruise tourism consumers? Cruise tourism industry is the most influential emotion industry example to influence cruise travelling consumers' travelling entertainment choice. I shall indicate some evidences how it's innovation will influence cruise travelling consumers' emotion to be changed to positive from negative immediately as well as to prove how the cruise traveler higher utility feeling to the cruise tourism provider is not the main factor to influence whom to choose the cruise provider to consume whose cruise journey service arrangement.Nowadays, cruising has become one of the fastest growing sectors within tourism, cruise service providers need have themselves unique different entertainment service arrangement to satisfy every cruise travelling consumer individual needs in order to attract every one to choose whose cruise arrangement easily, e.g. meals, activities, entertainment and varied destinations create one-stop holiday shop, reasonable competitive ticket fare. Hence, it seems it is one exciting emotion industry. If the cruise service provider can bring positive emotion to influence many cruise travelling consumers immediately. The, even it change higher service fare to compare other similar cruise service providers. I believe it won't influence them to choose other similar cruise service providers if it can often bring immediate positive emotion to its cruise clients during they are staying in its cruises or during they have left its cruises, but they will often remember or won't forget to enjoy their cruise service provider's happing time forever. Hence, if (AI) tool can be attempted to help cruise entertainment providers to arrange different cruise journeys for varied destinations , to arrange different entertainment facilities, to arrange the different taste food to satisfy different countries age cruise consumers' needs. Then, the (AI) tool will assist the cruise providers to bring positive emotion to let every different countries age cruise consumers to feel satisfactory in order to choose to the cruise providers' cruise entertainment service more attractively.2.1How can apply (AI) tool to predict cruise service providers bring positive emotion to their clients?Future, (AI) tool can help any cruise providers to design these kinds of any one entertainment service arrangement to satisfy the cruise provider's customers' needs.There are different special interests cruising , such as wellness at sea, freighter cruises, river cruises. It has increased the attractiveness of cruising: Romance is for lover cruise traveler target, luxury is for rich cruise traveler target, exotica is for enjoyment exciting feeling traveler target. So, every kind of cruise traveler target will have different kind of cruise entertainment service to satisfy their needs. If the cruise service provider can provide the right and attractive cruise entertainment service to satisfy the specific cruise target. Then, it will bring the positive emotion to the specific cruise target consumers more easily.Cruise travel was shaped for mass tourism. Prices have been very differently segmented. There are basically four types of markets ( Biederman, 2008):⦁Contemporary market: On board fun and amenities are playing important role and destinations have secondary importance.⦁Premium market: This category is more expensive than the contemporary category and where the destination has same importance as on board amenities.⦁Luxury market: It was once dominant type of cruise tourism, but now it has only a small portion of the industry. Generally, it is the most expensive cruise category and usually it takes longer than average cruise days.