Download or read book Prediction Publish and Tourism 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 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 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 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 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 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 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 Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments written by Granata, Giuseppe and published by IGI Global. This book was released on 2019-05-30 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Global economic scenarios are increasing in complexity due to the recent global financial crisis, globalization, the evolution of ICT, and the changing behaviors of consumers. This has made it difficult to predict trends and build strategies within the retail industry. As a result, long-term forecasts and schedules are not possible, and more research is needed to explore todays consumer profile and set the frameworks for future recovery strategies. Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments is a pivotal reference source that provides practical insights into improving the understanding of complex retail environments and consumer shopping behaviors in order to predict trends and develop strategies for retailers in times of economic crisis. While highlighting topics such as consumer engagement, industry models, and market globalization, this publication explores qualitative and quantitative methods of interest and the multidisciplinary approaches revolving around the industry. This book is ideally designed for marketers, managers, practitioners, retail professionals, academicians, researchers, and students seeking current research on relationship marketing, digital marketing, service management, and complexity theories.
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 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 Handbook of Consumer Behavior Tourism and the Internet written by Juline E. Mills and published by Psychology Press. This book was released on 2004 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available on Hospitality and Tourism Complete Publications via EBSCOHOST via internet. A password may be needed off campus.
Download or read book Enhancing and Predicting Digital Consumer Behavior with AI written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.
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 Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio Digital Era written by Keikhosrokiani, Pantea and published by IGI Global. This book was released on 2022-06-24 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.
Download or read book Can Apply Artificial Intelligent Tourism Behavioral Prediction Tool written by Johnny Ch Lok and published by . This book was released on 2019-05-25 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: When (AI) big data gather past every country traveler number who chose to go to which countries to travel in order to judge where destinations will be the country travelers' travelling choice destinations in the future.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. Hence, (AI) big data can gather past different countries' climate changing data, transportation tool changing data, destination scene environment changing etc. different data to give opinions to travelling businesses whether any country's these above factors will influence about how many traveler number will be increase or decrease in the future.2.3Why can expectation, motivation and attitude factor influence travelling behavior?
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 Predicting Fluctuation Impacts written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-09 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can transportation system factor influence tourist individual travelling desination decision? it depends on the tourist individual attitude or transport needs of decisions. For example, if the city , e.g. New York has many tourists, who are high income, young gender, high education level tourists. Then, they will choose more expensive and comforable train more than cheap and not comfortable bus transportation tool. So, I assume that the year has many high income, high education , high social class occupation tourists arrive US , New York city . Then, they will choose train more than bus transportation tool to go to anywhere to travel in New York city. So, it is not represent that the city has many cheaper public transportation tool, such as many buses number to be supplied , the bus public public transporation tool can bring more income to attract overseas tourists to come to New York travel. It depends on whether the tourist individual characteristics, e.g. high or low income, more or less comfortable transportion tool supplies needs or high or low educational level, alone tourist or family tourist or friend relationship tourist. Any one of these tourist individul psychological factors will influence the tourist to choose either cheap and less comfortable public tool system or expensive and more comfortable public tool system to be supplied to the city to travel. So, the city's comfortable or not comfortable public transportation tool supplies which will influence the overseas tourists how to choose the city to travel.However, on the tourist's habitual behavior of catching which kind of transportation tools, this factor will bring to influence how to choose the kind of transportation tool(s) whether the city can provide choice to let the overseas tourist to make where travelling decision when he/she arrives to the coutry. However, his/her transporatin tool catching habit will be possible to influenc whose travel times for public transport use, instead of which kind of transport tool(s) he/she will choose to catch when he/she arrives the country to travel. In conclusion, the tourist's age, income, occupation, education level will influence how the tourist's transportation choice in himself/herself country, then it also bring this question: will influence the tourist individual destination choice if the country can provide or can not provide the kind of public transportation tool(s) to let the tourist to choose to catch in his/her journey in the country's city. Hence, it explains that why every country's pubic transporation tool supplies will influence the tourist to choose where to travel in the country.4.1What are usually travel behaviorsand attitudes to disabled touristsWhat factors can affect the travel behaviors of people with disabilites by ages and lifestyle variable factors? When one person is disable, he/she will have different behaviors to satisfy whose needs in whose whole travelling journey. In special , the older age and younger age disable tourists who will have diffeent travelling needs. In fact, the disabled tourists won't easy to go anywhere travelling destinations in whose whole travelling journey. So, it seems that the travelling entertainment needs won't be very much to these younger or older disabled tourists. Moreover, people with disabilities travel will be compare with people without disabilities. So, it is one key to explain why the travelling entertainment purposes or needs to disable people which are lesser than the people without disabilities.
