Artificial Intelligence Customer Psychological Predictive

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Artificial Intelligence Customer Psychological Predictive Method: Appies to Marketing Information Gathering

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781794466005
Total Pages : 254 pages
Book Rating : 4.4/5 (66 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Method: Appies to Marketing Information Gathering by : Johnny Ch Lok

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.

What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793171849
Total Pages : 254 pages
Book Rating : 4.1/5 (718 download)

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Book Synopsis What Are Marketing Information and Artificial Intelligence Customer Psychological Predictive by : Johnny Ch Lok

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.

Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781093115413
Total Pages : 253 pages
Book Rating : 4.1/5 (154 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive by : Johnny Ch LOK

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.

Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793110862
Total Pages : 254 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction by : Johnny Ch Lok

Download or read book Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-03 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: ChapterSixIs Artificial Intelligent the most effective andaccurate consumer behavioral tool?Is (AI) the best and the most effective and accurate consumer behavioral prediction tool to compare other kinds of consumer behavioral prediction tools? Nowadays, retailing competitions are serious businessmen often find different kinds of methods to attempt to predict consumer changes. The consumer behavioral predictive methods can include as these below methods, instead of (AI) big data gathering tool.Firstly, statistics is the popular mathematic method, it applies auto-regression, liner regression, structural equation modelling, logistic regression statistic techniques to be used to predict consumer behaviors. Secondly, it is classification method, it sis a support vector machine to assist businessmen to make consumer behavioral prediction, it also includes decision making tress diagram technique. Thirdly, it is rule mining method, it is algorithm, market base analytic etc. business marketing concept analytical tool, it also includes graph mining technique tool. Next, it is psychological prediction model tool, it is psychology prediction model too, it is a kind of psychological method to predict consumer behaviors. Finally, it is the most updated and potential artificial neural network (ANN) machine tool, it gathered big data, then it will carry on analyzing and applies psychological method to conclude the most accurate and reasonable solutions to give recommendation to businesses to predict when and how and why their consumer behaviors will change. So, it is one owned human mind's machine and owned psychological and analytical efforts to replace humans to make any judgement in order to make the most accurate predictive behavioral changes for consumers, instead of the traditional marketing concept and psychological and mathematic methods to predict consumer behavior, (AI) big data gathering tool will be another new tool.What are the advantages of (AI) tool to be used to predict consumer behaviors as well as what are the different between it and other traditional consumer behavioral predictive tools? I shall explain as below: Firstly, as above all case studies are explained to (AI) questionnaire design method benefit, I believe (AI) big data gathering tool can be applied to help human to analyze and design any the suitable valid questions to enquire any kinds of business consumers in order to gather the most meaning and useful opinions to conclude the most accurate consumer behavioral prediction for every questionnaire. So, future (AI)'s analytical effort and decision making effort most be exceed above human's judgement efforts. So, future (AI) can help human to design the most useful and meaning different kinds of valid questionnaire ( survey) questions as well as assist humans to analyze and make accurate decision making and conclusions to give opinions to help businessmen to predict when consumer behaviors will change and how their consumption behaviors will change to influence their businesses in order to help them to make any efficient and effective and accurate solutions to avoid consumer number to be decreased and the most important benefit is that it can give opinions to help businessmen to explain why ( what the factors ) cause their consumer behaviors change suddenly. It will be human's efforts can not achieve to exceed (AI)'s efforts in the future.Secondly, (AI) can make artificial machine judgement and analytical effort, without human misleading or unfair or unreasonable judgement. So, it can make more fair and reasonable and accurate conclusion to give opinions to predict when, how and why consumer behaviors will change suddenly to the kind of business in customer model building process and evaluating the results of customer relationship management -related investment more accurate.

Marketing Information and Artificial Intelligence Customer Psychological Predictive Methods

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793961334
Total Pages : 254 pages
Book Rating : 4.9/5 (613 download)

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Book Synopsis Marketing Information and Artificial Intelligence Customer Psychological Predictive Methods by : Johnny Ch Lok

Download or read book Marketing Information and Artificial Intelligence Customer Psychological Predictive Methods written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-12 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter Three(AI) tool judges the difference between utility factor and emotionto influence consumer decision making In economic utility or immediate (expected) emotion aspects, whether which is more influential to excite consumption. To analyze whether it is economic utility or immediate ( expected) emotion more influential to excite consumption. It depends on the consumer individual consumption choice is in which situations. For example, if the industry's general consumer individual consumption decision is concentrate on emotion influential aspect, such as cruise entertainment industry, hospital care service industry, theme park entertainment industry, movie watching entertainment industry etc. Above all these industries have same nature, it is service. So, it seems that service industry's main influential factor is immediate ( expected) emotion influence, it is not economic utility influence. Otherwise, product sale industry's main influential factor is utility. 3.1(AI) judges consumer utility factorFor this toy choice situation example, parent choose to buy one toy to give whose child to play. They usually considerate which kind of toy is attractive to their child whom like to play. In many different kinds of toys choice, if the child likes to choose the kind of toy to play. After the child's parents had purchased the kind of toy to let whose child to play one period time, e.g. six month. Then, when the child feel that who has need to buy another new toy to play, due to he/she feels bored to play this toy. So, it seems that the child feels this toy has less utility or it's utility is decreased. So, he/she expects whose parent can buy another new kind of toy to let whom to play. It also implies that it is not emotion factor to influence the child to feel boredom and unfunny to play this kind of old toy after six months. It is the product's utility factor which can not attract the child to play it any more. So, this old toy's utility is decreased when this child spends six months to play it. This toy's value is only six month utility to this child to play. Otherwise, if this kind of toy is bought by another parent. It is possible that the another child like to play this kind of toy one year or more. So, it's utility to another child is one year or more period. So, product's utility period is difference, it depends on how long time of the user's satisfactory time.

Artificial Intelligence Customer Psychological Predictive Tool

Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 254 pages
Book Rating : 4.6/5 (46 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Tool by : Johnny Ch Lok

Download or read book Artificial Intelligence Customer Psychological Predictive Tool written by Johnny Ch Lok and published by . This book was released on 2020-04-27 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can artificial intelligence be better to compare economists to judge books prices whether what level is the most influential price to raise readers purchase decision ?However, some economists also demonstrated that given a free market economy, such as in free publish industry, the factors of production ( land, labor and capital) were important in understanding the economic system. Can apply the factor of production, e.g. publishing book sale location ( land); publishing book salespeople sale experience ( labor); and attractive book printing quality (capital printing expense) to influence the publishing industry reading consumer reading habit or purchase book activities?However, some economists suggested two important contributions: Analysis of monopoly and price discrimination and the market for labor will influence consumer number. Such as publishing case: Can analysis of which famous royalty publishing book sale firm to the most monopoly and then following its different topic of books sale price to evaluate whether how much every different topic of its similar book topic sale price to be higher to avoid reduce reader numbers, due to the not famous royalty book seller which similar topic book to the famous royalty book seller's prices are too higher than the famous royalty publishers' book prices? Book salespeople individual sale experience and sale ability and book knowledge ( labor supply) influence the book publishing shop's reading clients buying decisions, such as the more experience book sellers can persuade many readers to buy the book store's books. Otherwise, the less sale experience book sellers can not persuade many readers to buy the store's books.As the found in the field of economics, it became more refined, scholars began investigate many different economic concepts and principles to predict consumers behaviors, such as media reading customer. Nowadays, the media industries provides all of the elements required for studying the economic process. Content providers can offer information and entertainment, education etc. different topic books, magazine reading products which became the media publishing suppliers. Whereas, reading consumers and media advertisers formed the demand side of the media market.

Marketing Information and Artificial Intelligence Customer Psychological Predictive

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781795404198
Total Pages : 254 pages
Book Rating : 4.4/5 (41 download)

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Book Synopsis Marketing Information and Artificial Intelligence Customer Psychological Predictive by : Johnny Ch Lok

Download or read book Marketing Information and Artificial Intelligence Customer Psychological Predictive written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-29 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter TwoWhat is (AI) deep learning techniques to forecast environment behavioral consumptionThe (AI) deep-learning technology leads to performance enhancement and generalization of artificial intelligent technology. It influences the global leader in the field of information technology has declared its intention to utilize the deep-learning technology to solve environmental problems, such as climate change. So, it will help agriculture farming businesses can raise any plant food: vegetable, fruit, rice which grow up very easily if farmers can apply (AI) deep-learning technology to solve environment problems to influence their plant food grow. If the whole year seasonal change is very good and it is suitable for any plant food to grow in farming land easily, e.g. rain is enough and soil is enough for any plant food to grow in the farm lands. Then, fruit, rice, vegetable etc. agriculture businesses will have much beneficial attribution to global farmers. The question is how to use deep-learning technologies in the environmental field to predict the status of pro-environmental consumption. We predicted the pro-environmental consumption index based on Google search query data, using a recurrent neural network ( RNN model). To certify the accuracy of the index, we compared the prediction accuracy of the RNN model with that of the ordinary least square and artificial necessary network models. For example, the RNN model predicts the pro-environmental consumption index better than any other model. we expect the RNN model to perform still better in a big data environment because the deep-learning technologies would be increasingly as the volume of data grows. So, deep-learning technologies could be useful in environmental forecasting to prevent damage caused by climate change to influence any rice, vegetable, tomato, potato, fruit etc. different plant food grow in any countries' farming land easily.For South Korea example, over 800 government agencies spent 2.2 trillion Korea won on eco-products in 2014 year. However, green products are rarely purchased outside these agencies. This phenomenon occurs because there is a gap between consumer attitudes and behavior, that is environmental attitude is a major factor in decision making vis-a-vis the consumption of " green" food and services ( Jorea Ministry of Environment, 2015). Therefore, it is necessary to understand those consumer attitude, that will lead to sustainability-conductive behavior and consumption.2.1Environmental consumption predictionRecently, many researchers have studied pro-environmental consumption and household indexes as well as suicide rate predictions using messages posted by internet users on Google trend, Tweets etc. channel. Whether can environmental consumption be predicted by (AI) deep-learning technological internet channel? How can impact the pro-environmental consumption attitudes of green policies? Korea scientists estimated pro-environmental attitudes using search query data provided by Google trend and confirmed through regression analysis, that pro-environmental attitude has a positive correlation with the pro-environmental attitude index. They also explained that environment-friendly attitude of residents plan an important role in policy making. In the past, most household consumption indexed were calculated through surveys, but (AI) deep-learning technological tool " big data" have recently gained research attention ( Lee et al. 2016).It seems that (AI) deep-learning technology can help agricultural export countries' farmers, e.g. US, UK, Canada, New Zealand, Australia, Japan, China, India etc. they can predict environmental behavioral consumption to any rice, tomato, potato, fruit, vegetable etc. plant food consumers. The beneficial advantages to them include as below:

Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793285034
Total Pages : 254 pages
Book Rating : 4.2/5 (85 download)

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Book Synopsis Marketing Information Prediction and Artificial Intelligence Customer Psychological Prediction by : Johnny Ch Lok

Predicting Personality

Author : Drew D'Agostino
Publisher : John Wiley & Sons
ISBN 13 : 1119630991
Total Pages : 336 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Predicting Personality by : Drew D'Agostino

Download or read book Predicting Personality written by Drew D'Agostino and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate playbook for using artificial intelligence to communicate effectively, build teams, and win customers Not long ago, we imagined a hyper-connected world full of trust and openness—a world where effortless communication would bring about a new understanding between people everywhere. Judging from our current environment, this vision of the future may have been overly optimistic. With infinite channels and countless voices flooding them with messages, most people have become highly skeptical and guarded by necessity. As a result, communication is much harder than ever before. Despite the unprecedented connectivity enabled by modern technology, we are far less likely to trust and to invest the time needed to build strong relationships. How can we use technology to reverse this trend? A groundbreaking new branch of artificial intelligence—Personality AI—may be the answer. Combining traditional machine learning, data analytics, and behavioral psychology, Personality AI helps professional communicators tear down walls, establish trust with their audiences, and utilize data to build meaningful relationships, strengthen empathy, and win more customers. Predicting Personality is a practical, real-world playbook for any individual or business whose success hinges on the ability to communicate effectively and build teams. Authors Drew D’Agostino and Greg Skloot—CEO and President, respectively, of Crystal, the app that tells you anyone's personality—show you how businesses can leverage Personality AI and machine learning to grow faster and communicate more effectively than was previously possible. This reader-friendly guide teaches you what Personality AI is, how it works, and demonstrates its practical applications in both life and business. This book: ● Explains how to understand personality types in various contexts, including sales, recruiting, coaching ● Provides guidelines for using personality data to learn and execute ● Explores ethics and compliance considerations surrounding the use of Personality AI ● Offers valuable insights from a leader in the business applications of Personality AI Predicting Personality: Using AI to Understand People and Win More Business is a must-have guide for C-suite executives, sales and marketing professionals, coaches, recruiters, and business owners.

Artificial Intelligence in Behavioral and Mental Health Care

Author : David D. Luxton
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Is Marketing Information

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781793108944
Total Pages : 253 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Is Marketing Information by : Johnny Ch LOK

Download or read book Is Marketing Information written by Johnny Ch LOK and published by . This book was released on 2019-01-03 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some economists indicate idea that seen central to the development of regional science at large and to economic geography and international trade theory. In this terms of economies of specialization increase returns to scale and in the case of regional science and economic geography, economies of localization and urbanization.The questions concern: Can choose the best business location to attract consumption growth performance? Does the best destination attract consumption growth?" Two cities attract trade from an intermediate town in the vicinity of the breaking point, approximately in direct proportion to the population of the two cities, and in inverse proportion to the squares of the distances of the intermediate town" ( Reggiani, 1998).It implies some economists believe that geographic location choice factor can influence consumption growth. It is possible due to the location has many people are living. So, it brings many business chance, or the location is one the country's main in economic development location, it can attract many travelers choose to go to the location to travel. So, it has many travelling clients to prefer to consumer.However, a smaller region can still attract consumption growth, if it had good transportation system. For example, a small region may not have its own university, but inhabitants may still have access to higher education. Elsewhere accessibility measures are also need in activity location models, where access ability is the way through which the quality of the transport system influences the land use.So, it seems although the regional land is small size and far from cities, but if it can have good transportation system to provide any people to travel the small size regional land from outside cities. It is possible to bring consumption growth. However, some economists believe that distance influence relations in economics and economic geography in two ways: first, natural resources are distributed unevenly across space and second, distance separates various activities from each other. They apply " law of demand" to support their reasons.In regional sciences, accessibility plays an important role for analyzing the distribution of economic cities and regional development. Within regional science, the attempt to predict and explain the distribution of economic activity has become known as economic geography. Research in economic geography attempt to answer the question: What forces cause geographic behavioral consumption? Some economists support the production function and into the interaction between transportation cost and plant level scale economies, this geographical factor will bring much geographical behavioral consumption. For example, accessibility of population is an indicator of market size for suppliers of products and services, whereas successful ability to GDP could be an indicator of the market size for suppliers of high level business services ( Spiekermannn and Wegener, 2007).However, some economists argue that market potential is not necessarily the actual market. For example, since a person can't make the same purchase at two different locations. Hence, they believe that is one person has make purchase in one location far from whose home. Then, if he/she find another location which is close to whose home. The, he/she must not choose to buy the same purchase again, even he/she believe the seller's shop is close to whose home location. It implies that far location is not one factor to influence consumers to choose to buy the product if the consumer lines to buy the product.

The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781720160410
Total Pages : 174 pages
Book Rating : 4.1/5 (64 download)

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Book Synopsis The Difference Between Artificial Intelligence and Psychological Method Predicts: Consumer Behavior by : Johnny Ch Lok

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.

Artificial Intelligence Customer Psychological Predictive Strategies

Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.7/5 (42 download)

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Book Synopsis Artificial Intelligence Customer Psychological Predictive Strategies by : Johnny Ch LOK

Download or read book Artificial Intelligence Customer Psychological Predictive Strategies written by Johnny Ch LOK and published by . This book was released on 2021-04-18 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do organizations need have an efficient marketing communication strategy? The reasons include that as below:In fact, customers have much choices, usually different product or service marketing places will have ( excess) oversupply of product or service to influence consumers to make careful choices to buy which brand of product or consume service in whose choice processes. So, if the brand of product or service cn build good communication relationship between itself and customers. It can influence customers to have positive emotion to choose to buy its product or consume its service. So, any organizations needs have good price, location ( place), people ( staff) strategies, it also need have good promotion (communication) strategy in order to learn how to communicate to its customers to keep close relationship and build positive emotion to let them to feel.However, the marketing communication must include these several tools for any organizations to choose which kind(s) of communication tool(s) is (are) the best tool(s) in order to be used to promote its clients efficiently. They include: Advertising, it means that controlled paid for communication, it consists of communication messages, initiated by a specific communicator in the mass media to a defined target audience. Personal selling involves interpersonal communication between sellers and buyers through personal interactions. Sales promotion concerns the free and favorable exposure of a product's benefits or value in the media, public relations can establish and maintain favorable relations between an entity and its stakeholders. So, any organization needs to choose either only use one kind of communication tool or more than one kind of communication tools in order to achieve an efficient marketing communication strategy to build positive emotion and good product or service image or familiar brand to let its potential customers to know by any above one media. Also, it implies that customers won't know or familiar to the brand more clearly if the organization had not implement any promotion tool(s) to promote its product or service to let clients to know whether its existing product or service can give what benefits to them.How to achieve an efficient marketing communication strategy? To achieve an efficient marketing communication strategy to the organization. It includes this process: It needs to identify who are its target customers ( main target customer) potential customer and prospects. Then, it needs to measure the valuation of its different groups of client ( e.g. age, sex, shopping characteristics). Next, it needs to create and deliver the right or suitable or useful or persuasive messages and incentives to let its different group clients to know what its product or service existing in its country or global market places. Next, it needs to estimate how much it can earn return on its customer investment for its future possible reward. Because it if estimated that its marketing communication expenditure can not achieve its budget return in customer investment reward. Then, it needs revise its this ( these) kind of marketing communication tool (s) whether it ( they) is ( are) useful to promote its product or service to let clients to know. Finally, it needs to implement its budgeting allocation and evaluation to review its every time marketing communication tool(s) whether is (are) achieved its original aim. If it believed or confirmed its slae result is not successful. Then, it needs to revise its marketing communication tool(S) whether they (it) is (are) the most suitable or useful one tool(s) t be used to promote to its clients in the future. Hence, the whole process of marketing communication strategy is very important to influence its sale number.

Artificial Intelligence And Consumer Behavioral Relationship

Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781099445835
Total Pages : 574 pages
Book Rating : 4.4/5 (458 download)

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Book Synopsis Artificial Intelligence And Consumer Behavioral Relationship by : Johnny Ch Lok

Download or read book Artificial Intelligence And Consumer Behavioral Relationship written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-05-20 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is (AI) the best and the most effective and accurate consumer behavioral prediction tool to compare other kinds of consumer behavioral prediction tools? Nowadays, retailing competitions are serious businessmen often find different kinds of methods to attempt to predict consumer changes. The consumer behavioral predictive methods can include as these below methods, instead of (AI) big data gathering tool.Firstly, statistics is the popular mathematic method, it applies auto-regression, liner regression, structural equation modelling, logistic regression statistic techniques to be used to predict consumer behaviors. Secondly, it is classification method, it sis a support vector machine to assist businessmen to make consumer behavioral prediction, it also includes decision making tress diagram technique. Thirdly, it is rule mining method, it is algorithm, market base analytic etc. business marketing concept analytical tool, it also includes graph mining technique tool. Next, it is psychological prediction model tool, it is psychology prediction model too, it is a kind of psychological method to predict consumer behaviors. Finally, it is the most updated and potential artificial neural network (ANN) machine tool, it gathered big data, then it will carry on analyzing and applies psychological method to conclude the most accurate and reasonable solutions to give recommendation to businesses to predict when and how and why their consumer behaviors will change. So, it is one owned human mind's machine and owned psychological and analytical efforts to replace humans to make any judgement in order to make the most accurate predictive behavioral changes for consumers, instead of the traditional marketing concept and psychological and mathematic methods to predict consumer behavior, (AI) big data gathering tool will be another new tool.What are the advantages of (AI) tool to be used to predict consumer behaviors as well as what are the different between it and other traditional consumer behavioral predictive tools? I shall explain as below: Firstly, as above all case studies are explained to (AI) questionnaire design method benefit, I believe (AI) big data gathering tool can be applied to help human to analyze and design any the suitable valid questions to enquire any kinds of business consumers in order to gather the most meaning and useful opinions to conclude the most accurate consumer behavioral prediction for every questionnaire. So, future (AI)'s analytical effort and decision making effort most be exceed above human's judgement efforts. So, future (AI) can help human to design the most useful and meaning different kinds of valid questionnaire ( survey) questions as well as assist humans to analyze and make accurate decision making and conclusions to give opinions to help businessmen to predict when consumer behaviors will change and how their consumption behaviors will change to influence their businesses in order to help them to make any efficient and effective and accurate solutions to avoid consumer number to be decreased and the most important benefit is that it can give opinions to help businessmen to explain why ( what the factors ) cause their consumer behaviors change suddenly. It will be human's efforts can not achieve to exceed (AI)'s efforts in the future.Secondly, (AI) can make artificial machine judgement and analytical effort, without human misleading or unfair or unreasonable judgement. So, it can make more fair and reasonable and accurate conclusion to give opinions to predict when, how and why consumer behaviors will change suddenly to the kind of business in customer model building process and evaluating the results of customer relationship management -related investment more accurate.

Artificial Intelligence Applies to Consumer Behavioral Predictive Technology

Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781790590667
Total Pages : 553 pages
Book Rating : 4.5/5 (96 download)

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Book Synopsis Artificial Intelligence Applies to Consumer Behavioral Predictive Technology by : Johnny Ch LOK

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.

Artificial Intelligence Consumer Psychological Predictable Tool

Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 253 pages
Book Rating : 4.6/5 (476 download)

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Book Synopsis Artificial Intelligence Consumer Psychological Predictable Tool by : Johnny Ch LOK

Download or read book Artificial Intelligence Consumer Psychological Predictable Tool written by Johnny Ch LOK and published by . This book was released on 2020-05-21 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Main barriers influence artificial intelligence consumer behavioral predictionIn future, it is possible that these barriers will influence how to apply (AI technology) to predict consumer behavior in success. The barriers may include: Lacking of a (AI) digital data gathering vision and strategy, lacking of efficient workforce readiness, (AI) technology constraints., non reaching (AI) consumer behavioral prediction mature stage, time and money and resource constraints, law and regulations prohibition to develop (AI) consumer behavioral prediction bug data gather technology.However, the recommendation of solutions to attack the barriers to influence artificial intelligence consumer behavioral prediction not success, it may include gaining employee buy in to participate and develop (AI) consumer behavioral prediction technology, making customer experience to a concern (AI) big data gather questionnaire investigation, providing compensation, training to employees in order to achieve (AI) consumer behavioral big data questionnaire investigation research digital technological goals and strategy, task senior leaders manage any (AI) digital big data gather technology changes, putting policies and (AI) big data gather digital technology in place to support a fully remote, flexible workforce in any (AI) digital big data gather questionnaires research projects, teaching all employees how to code/understand (AI) big data gather consumer behavioral prediction software development, appointing a chief (AI) officer to manage any (AI) big data gather customer behavioral prediction projects and automate everything and encourage customers to attempt experience to self-service and (AI) big data gather questionnaire research to earn beneficial consumption aim after they gave feedback to any (AI) digital questionnaire researches. So, in the future, the (AI) digital big data questionnaire researches can include these industries surveyed, such as automat m financial services, public healthcare, private healthcare, technology, telecoms, insurance, life sciences, manufacturing, media and entertainment , oil and gas, retail and consumer products etc. Hence, in the future, any of these industries can attempt to apply (AI) digital big data gather technology to predict how and why consumer behaviors will change in order to avoid reducing consumer number threat occurrence.5.1(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.

Can Artificial Intelligence Become Predictive

Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 96 pages
Book Rating : 4.8/5 (856 download)

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Book Synopsis Can Artificial Intelligence Become Predictive by : John Lok

Download or read book Can Artificial Intelligence Become Predictive written by John Lok and published by . This book was released on 2022-01-21 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has these two research questions need to be answered: Has it close relationship between (AI)learning machine and predictive consumer behaviors? Can (AI) build close relationship to replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer ?In my this book, 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