Download or read book Psychological And Technological Methods Predict Consumer Behaviors written by Johnny Ch LOK and published by Independently Published. This book was released on 2019-04-27 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impact of emotions on judge , evaluations and decisions has long been important to psychology and consumer behavior on consumption. It seems face reading technology can predict whether the consumer likes or dislikes these confectionery foods, chocolates, sweets or juice, soft drinks liking ratings to measure whether sugar element is excess or less from young consumers' face expression, such as enjoying or not enjoying of feeling, smile or no smile response. Hence, face measuring technology can be more difficult to detect consumers 'emotion for product manufacturer. Because consumers need to spend more time to attempt to use their new innovative products. *Recommendation Ethnographic consumer behavior research is for video camera recording to product manufacturers at home Otherwise, it seems product manufacturers can't use face reading technology to detect consumers' emotion in the short time immediately. The products include any kind of products, e.g. high technological products, such as space mining of resources machines, satellite navigation system ,cars , machines etc. as well as home useful technological electronic products, such as mobile phones, washing machines, televisions, laptops as well as daily products, such as shirts, shoes, furniture, toys, tooth pastes etc. These essential home product and high technologic product manufacturers who need to continue to innovate their old style products to follow consumers' taste to invent new style products to be accepted to their fresh taste. It seems that manufacturers need to spend a long time to touch consumers' feeling whether whose old style technological products which are still accepted to them to use or not. Hence, it implies that a consumer decides to buy these high technological innovation products, whose choice isn't performed to show who must accept to use these high technological innovation productsfor long time, whose emotion is not sure whether who feels satisfactory to consume to use this product for a long time. When he/she uses this technological product for a long time, it is possible that who will feel it was not valuable to buy it before. Hence, video camera can used to record the consumer's behavior record whose image and to analyze whose facial expressions and bodily gestures at home about one week.

Download or read book Why Is Big Data Gathering the Best Method to Predict Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-10-26 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior. If future artificial intelligent technology can be developed to apply to predict consumer behavior, what requirements does it need to achieve consumer psychological prediction function? This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

Download or read book Artificial Intelligence Customer Psychological Predictive written by Johnny Ch LOK and published by . This book was released on 2019-04-07 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges of (AI) big data gather shapingthe future of retail for consumer industriesAnother challenge of (AI) big data gather is that how to shape the consumer behavior to let business owner to feel or know or predict. It means that how it express it's conclusion or opinion for every consumer behavior after it had gather all big data in any data gather period, e.g. three months, half year or one year consumer shopping model data gather period.Because every kind of industry, consumers will continue to demand price and quality change , with a wide range of convenient fulfilment options among of different kinds of products or services supply. Overall, the (AI) big data gather procedure gives opinion concerns every time retail experience will become more exciting, simple and convenient, depending on the consumer's ever-changing needs. So, I believe that (AI) big data gather every conclusion or result will be different, due to consumer's price and quality demand will often change to every kind of product or service supply in retail industry. So, how to shape (AI) big data gathering's analytical conclusion or result more clear. I shall recommend organizations need to build great understanding of and a stronger connection to increasingly empowered consumers before they plan and implement how to apply (AI) big data gather tool to predict consumer behavior as below:Firstly, (AI) is empowered by technology, the consumer is redefining value. The traditional measures of cost, choice and convenience are still relevant, but not control and experience are also important. Globally, consumers have access to more than 2 billion different products choice by a wide range of traditional competitors and dynamic new entrants, all experimenting with new business models and methods of client engagement. As choice increases, loyalty becomes more difficult familiarity and the consumer becomes more empowered. Businesses will have no choice and constantly innovate and disrupt themselves by meeting new technologies of high standards and expectations of consumers. So, (AI) data gather tool will need to follow different target group of consumers' needs to follow their different kinds of product design or style choice preferable to gather data in order to conclude the different target groups of consumer behavior to give opinion more clear and accurate to let businessmen to understand more clear how its customers' behavioral choice trend in the future half month, even to two years period.Secondly, businessmen need to adopt changing technologies rapidly. Technology will be the key driver of this retail industry. Industry participants will only success if they have a clear prediction to focus on how to using technology to increase the value added to consumers. They must , however, do so will I realistic assessment of their costs and benefits. Hence, (AI) big data gather technological tools will need to design to help them to gather data efficiently by these ways, such as the internet of things ( IOT), artificial intelligence (AI) machine learning, augmented reality (AR)/virtual reality (VR), digital traceability. So, future (AI) big data gather tool are predicted to be most influential customer behavioral positive emotion changing tool for retail , due to their widespread applications , ability to drive efficiencies and impact on labor in order to impact consumer behavior changing effort from negative emotion to positive.Thirdly, (AI) big data gather tool is an advanced data science of consumer behavior predictive tool. Businesses will have to bring the journey from simply collecting consumer data to using it to scale and systematize enhanced decision making across the entire value chain. When focused on their business goals, industry players should not lose sight of the impact that future capabilities and transformative business models may have on society.

Download or read book The Difference Between Artificial Intelligence and Psychological Method Predicts Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-08 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book. In my this book second part, I shall explain why and how human can possible apply (AI) tool to predict consumer individual emotion. I shall indicate case studies to explain how consumer individual better or worse emotion how to influence whose consumption behavior in different suitations. Finally, I shall indicate evidences to conclude how and why (AI) tool that can be used to predict consumer individual emotion and it will have direct relationship to influence consumption behavior, as well as how (AI) tool can assist businessmen to judge whether what reasons case the customer does not choose to buy its product, it is possible because the product high price factor, poor product quality or poor staff service performance or attitude etc. different factors to influence the consumer decides to choose to buy the other product consequently, when the (AI) tool can confirm consumer has good or bad emotion to judge what factors are the causes his decision making at the moment.

Download or read book Artificial Intelligence Customer Psychological Predictive Method Appies to Marketing Information Gathering written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-20 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2.2How can apply (AI) digital channel to predict consumer behaviors?(AI) digital channel can be applied to help businesses to evaluate whether how much the product price is the most attractive to persuade consumers feel it is the most reasonable price to sell. It helps consumers to feel which brands of products which ought change the price to let consumers to choose to buy the brand of product. It can be applied to predict whether how many consumer numbers can be increased or decreased when the brand of product's price is variable. It aims to give opinions to help any brand of product manufacturers or sellers to judge whether which price is the most reasonable to let consumers to accept to choose to buy the brand of product in popular.Thus, (AI) price measurement technology can be preference to be applied online communication ecommerce and mobile phone internet platform aspect. As businesses can enter their past products prices data and past customer number data into computer or mobile. Then, (AI) price measurement technology can gather these data to analyze these product prices and past customer number to compare their prices variable changing range level to find their price variable difference to measure to make conclusion about every product's price variable changing will influence how many customer number increase or decrease changing to choose to sell their different kinds of products more accurate. Then, (AI) price measurement software will help them to analyze all past price variable changing data to compare whether which price range can let customers to feel it is more reasonable and attractive to influence them to choose to buy the product among different brands of product choice.Because any product's price is one important factor to influence consumers to choose to buy the product, instead of quality, durability, shape, appearance, color, brand familiarity etc. factors. Any online businesses with a focus on Asia should considerate (AI) customer care, and virtual shopping experience, whereas is Europe and North America still value face-to-face and/or real human interaction over (AI) or virtual worlds.

Download or read book The Difference Psychological Method Predicts Future Education and Service Industry written by Johnny Ch LOK and published by . This book was released on 2018-12-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are future education and business industries consumer need challenge? How to predict future education and business industry consumer need challenge? I write this book concerns how to apply behavioral economy method to solve education service to student psychological need challenges as well as how to apply psychological methods to solve consumption challenges for some enterprises. These book divides two part. Part one concerns my recommendations how to attempt to solve students' learning psychological need challenges and explains how economic factor will influence their learning need . Part two concerns my recommendations how to attempt to apply behavioral economy method to solve client consumption challenges.At part one, this book concerns how to apply psychological and economic behavioral methods to predict customer emotion. The first part concerns to how to apply psychological method to predict consumer emotion. The second part concerns to explain what behavioral economy means and how to apply behavioral economic method to predict consumer behavior.It concerns how to apply behavioral economy and psychological method to predict how to manufacture the right food taste to let your consumers to like to eat your food as well as how to produce or design your products to sell to them successfully. I shall use three science and psychology ethnographic research and facial reading technology and online consumption behavioral methods to explain how to predict your client's individual taste and need more accurate. Also, it concerns how to apply psychological method to predict consumer behavior. I shall indiate how to use face reading technology predicts consumer emotion to predict how to do the acceptable ingradients to produce foods to let them to feel more enjoyable to eat sweet foods or drink soft drinking as well as how to use video camera to investigate to predict customer emotion to find what factors had attracted them to choose to buy the manufacturers' products to use and judge whether how to increase your product more attractive to win your competitors.

Download or read book Methods Predict Consumer Behavior written by John Lok and published by . This book was released on 2022-03-21 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 The Difference Between Economic and Artificial Intelligent Methods written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-16 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influnce productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

Download or read book Comparison Artificial Intelligent And Market written by John Lok and published by . This book was released on 2022-01-11 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influence productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered? Can apply (AI) learning machine predict consumer behaviors? Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?

Download or read book How Robot Influences Consumer Behavior written by John Lok and published by . This book was released on 2022-02-02 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior. If future artificial intelligent technology can be developed to apply to predict consumer behavior, what requirements does it need to achieve consumer psychological prediction function? In future, organizations to consider how to raise staff efficiency and performance in order to raise productivity. I shall give opinions to explain how to attempt to apply (AI) technology to make psychological analysis to assist any organizations to make more accurate raising performance and efficient methods. In my this book part five, I shall explain future how to attempt to apply (AI) technological method to give psychological recommendation to any organizations to assist them to raise staff efficiency. I shall attempt to indicate how to apply (AI) psychological recommendation technology to give any efficient performance opinions to let these organizations to learn, such as marketing consultant organization, basketball team organization, interior decorating organization, bank organization, hotel organization, university organization, film organization, nuclear factory organization, electronic assemblies factory organization, medical organization and television organization.

Download or read book What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-04 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel. Above of all these, they will be the barriers when one food supplier expects its (AI) digital data gather questionnaires which can conclude the most accurate prediction concerns any kinds of consumer food product choices. So, such as (AI) digital data prediction model, it is needed to incorporate into the food market segmentation, food customer targeting, and food challenging decisions with the goal of maximizing the total food customer lifetime. For example, (AI) big data gather transaction data is reasonable and accurate for building predictive models. Transaction data can be electronically collected and readily made available for data mining in lot quantity at minimum extra costs.Suggestion to apply (AI) prototypes of food customer profiles method to predict food customer behavioral changes. Prototypes of food customer profiles mean to be extracted from the discovered bins and multi-class classifies models are built using those prototypes. The learned models can than be used to predict the class of food customer profiles ( e.g. restaurants, school canteens, supermarkets etc. food suppliers) based on their food purchases. The approach is validated on the case study of a food retail and food service company operating in food and beverages market.So, a food customer profile, it is a description (AI) data gather tool will record every of food customer using available information, which help in understanding their background and food consumption behavior. (AI) data gather tool can well develop every food customer profile, every food customer data is essential in food market analysis as they aid food suppliers in saving time and money by highlighting the real potential food consumers whose needs are to be met rather a range of individuals.So, (AI) data gather tool can record every food consumer profile and every can be factual or behavioral food consumption. A factual food customer profile consists of a set of characteristics for (AI) big data gather record, e.g. demographic information, such as food customer name, gender, birth date, when a behavioral food customer profile consists of what the food customer is actually doing and is usually derived from (AI) digital transactional data gather record.

Download or read book Psychology Methods Predict Consumer Behaviors written by John Lok and published by . This book was released on 2022-01-07 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned how to apply behavioral economy method to predict consumer behavior. Also I shall compare to explain what advantages and disadvantages between any one of my solvable suggestions and the any one of the company's choice of solvable method to these any one sample industry consumer behavioral economic challenges to aim to let any reader to judge whether how to choose the solvable method is better. This book can provide sample industries to let students to learn how to behavioral economy method to predict consumer behaviors. This book divides part one and part two. Part one explains what behavioral economy function and mean is and how applying this method to predict consumer behavior. Part two explains what psychological method mean and function and how appling this method to predict consumer behavior.

Download or read book Psychological Methods Predict Education Service and Consumption Behavior written by Johnny Ch LOK and published by . This book was released on 2018-01-11 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book concerns how to apply psychological methods to solve education service to student psychological need challenges as well as how to apply psychological methods to solve consumption challenges for some enterprises. These book divides two part. Part one concerns my recommendations how to attempt to solve students' learning psychological need challenges. Part two concerns my recommendations how to attempt to solve client consumption challenges.At part one, this book concerns how to apply psychological and economic behavioral methods to predict customer emotion. The first part concerns to how to apply psychological method to predict consumer emotion. The second part concerns to explain what behavioral economy means and how to apply behavioral economic method to predict consumer behavior. It concerns how to apply psychological method to predict how to manufacture the right food taste to let your consumers to like to eat your food as well as how to produce or design your products to sell to them successfully. I shall use three science and psychology ethnographic research and facial reading technology and online consumption behavioral methods to explain how to predict your client's individual taste and need more accurate. Also, it concerns how to apply psychological method to predict consumer behavior. I shall indiate how to use face reading technology predicts consumer emotion to predict how to do the acceptable ingradients to produce foods to let them to feel more enjoyable to eat sweet foods or drink softdrinking as well as how to use video camera to investigate to predict customer emotion to find what factors had attracted them to choose to buy the manufacturers' products to use and judge whether how to increase your product more attractive to win your competitors. It concerns how to find both what the worst attributed factor(s) had influenced the consumers to be caused to decide not to choose to buy your product as well as what the best attributed factor(s) had influenced the consumers to be caused to decide to buy your product in constructive choice process. I shall indicate how manufacturers can analyze to judge whether what the best and worst attributed factor(s) are during every consumer chooses to buy which kind of product or food in constructive choice process.

Download or read book Technology and Consumption written by Ruby Roy Dholakia and published by Springer Science & Business Media. This book was released on 2012-05-16 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology and Household Consumption is a comprehensive text that provides insights into technology’s impact on consumer behavior and the household environment. Consumption and consumer behavior has become a very important subject of study that is now covered in many disciplines including family economics, culture studies, and feminist/women studies. In the first section, this book provides a historical perspective on how consumer behaviors have changed because of technology and how technology itself has changed. Data on ownership and expenditures is detailed in describing the penetration of technology in the household and changes over time. In the examination of demographics and social changes, an emphasis is placed on women and children. As it is important to understand the entry paths and factors that influence them, the book also introduces a research framework to understanding the adoption and utilization of household technologies. In the second section, the book examines specific household technologies and consumption experiences including shopping choices and behaviors, entertainment outlets and availability, communications technologies, and working at home. The book concludes with a section on the relationships between marketers and consumers.

Download or read book Big Data Gathering Predicts Retail Industry Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-09-28 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes in retail industry. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method. This book has these two research questions need to be answered? (1) Can apply (AI) learning machine predict consumer behaviors in retail industry? (2) Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate in retail industry? Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans. Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately. In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.

Download or read book Artificial Intelligence Applies to Consumer Behavioral Predictive Technology written by Johnny Ch LOK and published by . This book was released on 2018-12 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can scientific research method predict Disney visitors behavior by (AI) marketing research survey method?Using scientific research methods to predict Disney consumption behavior phenomena in this field, some experts had attempted to do research in predictive validity to evaluate whether a measure of scientific achievement to consumer behavior. There are three groups thought to have varying knowledge of and ability to predict consumer behavior are academics, marketing practitioners and consumers in general. Academic groups use their scientific knowledge of consumer behavior as a basic for such activities as teaching, consulting for corporations, and testifying in legal and regulatory proceedings. In contrast, marketing practitioners are likely to be as familiar with this scientific literature. However, practitioners gain expertise through their experience. This expertise might help them to make accurate predictions of consumer behavior. Finally, when few studies on consumer behavior reach the general public, consumer's personal experiences should help them to predict certain aspects of customer behavior. So, it seems that whether Disney ought choose to do consumer behavioral psychological method to predict consumer behavior, such as personal experiences ( psychological feeling) method is more accurate than to scientific method, such as marketing research method. In this discussion, I shall imply two hypotheses about why Disney experts ought measure consumer behavior by behavioral psychological method predictions more than scientist method, such as marketing research method . The first hypothesis, experts can make more accurate predictions than novices as well as the second hypothesis, academics can make more accurate predictions them practitioners. Thus, these hypotheses bring the questions and asked the subjects to predict whether each hypothesis tended to be true or false. For example, whether the more frequently an adolescent interacts with peers about consumption matters is the greater the tendency to use peer preferences in evaluating products? ( Moschis & Moore, 1979). Will a person be more satisfied with their recently purchased car if the car met or exceeded whose expectations? ( Westbrook 1980). Hence, using behavioral psychological prediction method , it will ask these these questions to gather the data to attempt to analyze what factors can influence whose satisfied feeling during who play any Disney entertainment facilties. These survey questions can include: Will a disney visitor feel more satisfied to play any Disney entertainment facilities with who recently visited Disney if the Disney entertainment facilities met or exceed whose expectation? Whether the more frequently Disney entertainment facilities a player with whose friends who have more satisfied feeling to play any Disney entertainment facilities to compare the less frequently Disney entertainment facilities another player alone or no any friend?A long term survey research indicated that a consumer research result for the practitioner group, who worked with marketing problems, but who were unlikely to be familiar with scientific research on consumer behavior. For example, systematic sampling was used to select 100 practitioners from the 1984 year American Marketing Association Membership Directory ( academic addresses were excluded), a self addresses envelope was enclosed in the original mailings, and two postcard reminders were sent. Replies were received from 20 academics and 13 practitioners.