Artificial Intelligence Raises Consumption Market
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Artificial Intelligence Raises Consumption Market
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2018-11-30
Artificial Intelligence Raises Consumption Market written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with categories.
IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? All workers are replaced by artificial intelligent robotic machine or some workers are replaced by artificial intelligent robotic machine which can raise more productive efficiencies or improve better service performace ?If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions: (1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?
Artificial Intelligence Applies To Us Consumption Market
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Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-11-29
Artificial Intelligence Applies To Us Consumption Market written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with categories.
IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions:(1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?
Artificial Intelligence Raises Efficiency And Productivity
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-09
Artificial Intelligence Raises Efficiency And Productivity written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-09 with Business & Economics categories.
(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.
How Artificial Intelligence Raises Efficiency And Performance
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2018-11-25
How Artificial Intelligence Raises Efficiency And Performance written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-25 with categories.
Part Two(AI) technology can raise employee service performance Chapter OneWhat is the relationship between (AI) robotic service behavior and improving service performance behaviorHow and why (AI) technology can be applied to service industry? I shall explain how (AI) technology can encourage consumption behaviors when it is applied to service industry as below. I shall apply behavioral economic theory to (AI) technology to indiate how it can enourage consumption when it is applied to service industry. At the core of behavioral economics is used psychology of economics analysis to improve economics on its own terms generating theoretical insights, making better prediction of field consumption of behavioral phenomena, and suggesting better policy to any company or government decision makers. It rejects economic theories based on utility maximization, equilibrium and efficiency. It is useful because it provides economists with a theoretical framework that can be applied to almost any form of economic ( and even non-economic) behavior to predict behavioral consumption more easily to businessmen. So, behavioral economy is different to general economy concept, it applies psychological methods to attempt to predict consumption behavior.Simpifying much assumption that are not central to the economic theory to apply to psychological behavior. Other assumption simply acknowledge human limits on computational power and self-interest. These assumptions can be considered procedurally rational because human needs to solve problems that are often so complex that who can't be solved exactly by even modern computer technology. So, if businessmen apply psychological method to predict behavioral consumption to earn the more benefits or profit, it is more reasonable to compare to apply computer methods to predict consumption behavior.Theories in behavioral economics should be judged by reality, generality and tractability concepts to apply why we ( consumers) do our behavior ( consumption of choices) from psychological analysis. We share the positivist view that the ultimate test of a theory is the accuracy of its predictions. But we also believe that better predictions are likely to result from theories with more realistic assumptions. In psychology, such as connectionist models that capture some of the essential features of neural functioning, which are based on utility maximization, yet are reaching the point where they are able to predict many judgemental and behavioral phenomena. Contrary to the positivistic view, however, businessmen ought believe that predictions of consumers' feelings ( e.g., of subjective well-being) should be an important goal to earn more profit more easily.Most of the ideas in behavioral economics are not new. When economics first became identified as a distinct field of study, psychology didn't exist as a discipline to apply to economy subject. For example, "invisible hand" and "the wealth of Nations" which belong to theory to moral sentiments, which laid out psychological principles of individual behavior that are arguably as profound as whose economic observations. Another example, such as a simple model of social utility means that one ( consumer) or person's utility was affected by another person's, such as whose family or friends' influence why to choose to buy this product or use this service in consumption market. Nowadays, economists hoped their discipline could be like a natural science to apply psychological methods to predict behavioral consumption to assist businessmen to earn more economic benefit or to reduce cost or profit to win whose competitors. But psychology was not very scientific. However, later economists are very much appealed to psychological insights to attempt to assist businessmen how to predict consumers how who will prefer to choose to consume to buy this product or use this service.
How Artificial Intelligence Raises
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Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2018-11-30
How Artificial Intelligence Raises written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with categories.
Apply (AI) technology improve US pork food logistic transportation speed in warehouseFuture , (AI) robotic machies can assist warehose workers to deliver the accurate pork food number and right weight to different locations in warehouses before they are delivered to different supermarkets or pork store sellers. Nowadays, pork ranks third in annual US meat consumption, behind beef and children averaging 51 pounds per person. US pork consumption varies by race and ethnitity. In general, US blacks race people consume 63 pounds of pork per person per year, whites race people 49 pounds and Hispanics 45 pounds. Otherwise, higher income US consumers tend to consume less pork. Demographic data in the CSFII suggest future declines in per capita pork consumption, as increases of Hispanics and the elderly in US , who eat less port than the national average, enlarge their shared of the population. However, total US pork consumption will grow because of an expansion of the US population, e.g. US immigrants number will increase from different overseas.In fact, although pork isn't consumed by certain populations or certain regions, it is one of the preferred meats in the world and United States. So, understanding the basic factor underlying pork consumption wil help US to supply in pork market and will able the meat industry to as well as it well the enable the industry (Economic research service, 2004).In conclusion, US pork high income and white race consumers do not prefer to select pork to eat. it is possible due to they feel port is most common meat and purchase easily food. Hence, pork manufacturer ( suppliers) ought raise pork sale quality and better taste, e.g. ungrade common pork from low meat quality and poor taste class meat to raise to high meat quality and better taste class meat to compare beef and sheep meet substitutes. Hence, building good public image to pork that is very importnt to influence US pork domestic consumption market, even overseas markets. This issue is all US pork suppliers need to consider if they expect to raise pork meat consumption effort in success in long term future. Apply (AI) technology improve US pork food logistic transportation speed in warehouseFuture , (AI) robotic machies can assist warehose workers to deliver the accurate pork food number and right weight to different locations in warehouses before they are delivered to different supermarkets or pork store sellers. Nowadays, pork ranks third in annual US meat consumption, behind beef and children averaging 51 pounds per person. US pork consumption varies by race and ethnitity. In general, US blacks race people consume 63 pounds of pork per person per year, whites race people 49 pounds and Hispanics 45 pounds. Otherwise, higher income US consumers tend to consume less pork. Demographic data in the CSFII suggest future declines in per capita pork consumption, as increases of Hispanics and the elderly in US , who eat less port than the national average, enlarge their shared of the population. However, total US pork consumption will grow because of an expansion of the US population, e.g. US immigrants number will increase from different overseas.In fact, although pork isn't consumed by certain populations or certain regions, it is one of the preferred meats in the world and United States. So, understanding the basic factor underlying pork consumption wil help US to supply in pork market and will able the meat industry to as well as it well the enable the industry (Economic research service, 2004).
Artificial Intelligent Predicts Market Behaviors
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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2020-01-27
Artificial Intelligent Predicts Market Behaviors written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-27 with categories.
Challenges of artificial intelligence, algorithms technology and machine learning impact to consumption marketMarkets have played a key role in providing individuals and businesses with the opportunity to gain from trade. If (AI) big data gather tool can predict how to change potential customer behavior in success. The challenges to consumers will face that the overall market consumption model will be dominated by the businessmen only. So, it is not fair or reasonable to consumers, because (AI) big data gather tool has controlled or dominated all consumers' minds and it has predicted how and why every kind of product or service consumer shopping model or consumption behaviors how will change.It will bring this questions: How can market designers learn the characteristics necessary to set optimal, or at least better, reserve prices after they had gather all data to conclude the analytical results of their consumers behaviors how will change? How can market designers better learn the environments of their markets?In response to these challenges, artificial intelligence (AI ) and machine learning are important tools for market design. For example, retailers and marketplaces, such as eBay, Amazon and many others are mining their vast amounts of data to identity patterns that help them create better shopping experiences for their clients and increase the efficiency of their markets. By having better prediction tools, these and their companies can predict and better manage dynamic consumption market environments. The improved forecasting that (AI) and machine learning algorithms provide help marketplaces and retailers better anticipate consumer demand and producer supply as well as help target products and activities for segmented markets. Another important application of (AI) 's strength in improving forecasting to help markets operate more efficiently is in electricity market example. To operate efficiently, electricity marker makers can attempt to apply (AI) machine learning tool to follow every household family electricity consumers' past electricity consumption record to judge ( predict) how it will be every family's forecasting in the year.
Artificial Intelligence Predicts Market Behaviors
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Author : Johnny Ch LOK
language : en
Publisher:
Release Date : 2020-03-07
Artificial Intelligence Predicts Market Behaviors written by Johnny Ch LOK and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-07 with categories.
Challenges of artificial intelligence, algorithms technology and machine learning impact to consumption marketMarkets have played a key role in providing individuals and businesses with the opportunity to gain from trade. If (AI) big data gather tool can predict how to change potential customer behavior in success. The challenges to consumers will face that the overall market consumption model will be dominated by the businessmen only. So, it is not fair or reasonable to consumers, because (AI) big data gather tool has controlled or dominated all consumers' minds and it has predicted how and why every kind of product or service consumer shopping model or consumption behaviors how will change.It will bring this questions: How can market designers learn the characteristics necessary to set optimal, or at least better, reserve prices after they had gather all data to conclude the analytical results of their consumers behaviors how will change? How can market designers better learn the environments of their markets?In response to these challenges, artificial intelligence (AI ) and machine learning are important tools for market design. For example, retailers and marketplaces , such as eBay, Amazon and many others are mining their vast amounts of data to identity patterns that help them create better shopping experiences for their clients and increase the efficiency of their markets. By having better prediction tools, these and their companies can predict and better manage dynamic consumption market environments. The improved forecasting that (AI) and machine learning algorithms provide help marketplaces and retailers better anticipate consumer demand and producer supply as well as help target products and activities for segmented markets. Another important application of (AI) 's strength in improving forecasting to help markets operate more efficiently is in electricity market example. To operate efficiently, electricity marker makers can attempt to apply (AI) machine learning tool to follow every household family electricity consumers' past electricity consumption record to judge ( predict) how it will be every family's forecasting in the year.
How Can Artificial Intelligence Raise Efficiencies To Avoid Wage Inequality
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-03-30
How Can Artificial Intelligence Raise Efficiencies To Avoid Wage Inequality written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with Business & Economics categories.
How and why (AI) technology can be applied to service industry, instead of manufacturing industry? I shall explain how (AI) technology can encourage consumption behaviors when it is applied to service industry as below. I shall apply behavioral economic theory to (AI) technology to indiate how it can enourage consumption when it is applied to service industry. At the core of behavioral economics is used psychology of economics analysis to improve economics on its own terms generating theoretical insights, making better prediction of field consumption of behavioral phenomena, and suggesting better policy to any company or government decision makers. It rejects economic theories based on utility maximization, equilibrium and efficiency. It is useful because it provides economists with a theoretical framework that can be applied to almost any form of economic ( and even non-economic) behavior to predict behavioral consumption more easily to businessmen. So, behavioral economy is different to general economy concept, it applies psychological methods to attempt to predict consumption behavior.Simpifying much assumption that are not central to the economic theory to apply to psychological behavior. Other assumption simply acknowledge human limits on computational power and self-interest. These assumptions can be considered procedurally rational because human needs to solve problems that are often so complex that who can't be solved exactly by even modern computer technology. So, if businessmen apply psychological method to predict behavioral consumption to earn the more benefits or profit, it is more reasonable to compare to apply computer methods to predict consumption behavior.Theories in behavioral economics should be judged by reality, generality and tractability concepts to apply why we ( consumers) do our behavior ( consumption of choices) from psychological analysis. We share the positivist view that the ultimate test of a theory is the accuracy of its predictions. But we also believe that better predictions are likely to result from theories with more realistic assumptions. In psychology, such as connectionist models that capture some of the essential features of neural functioning, which are based on utility maximization, yet are reaching the point where they are able to predict many judgemental and behavioral phenomena. Contrary to the positivistic view, however, businessmen ought believe that predictions of consumers' feelings ( e.g., of subjective well-being) should be an important goal to earn more profit more easily.Most of the ideas in behavioral economics are not new. When economics first became identified as a distinct field of study, psychology didn't exist as a discipline to apply to economy subject. For example, "invisible hand" and "the wealth of Nations" which belong to theory to moral sentiments, which laid out psychological principles of individual behavior that are arguably as profound as whose economic observations. Another example, such as a simple model of social utility means that one ( consumer) or person's utility was affected by another person's, such as whose family or friends' influence why to choose to buy this product or use this service in consumption market.
Artificial Intelligence Brings What Economy Benefits
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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2019-12-25
Artificial Intelligence Brings What Economy Benefits written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-25 with categories.
Can (AI) technology influence the economic development to developing countries? The developing regions of the world contain most of natural resources. If one day, (AI) technology has invent one kind of machine man which can assist any gas or oil workers to seek any new oil/gas natural resource locations easily. I believe that (AI) technology can help these natural resource exploitation countries will gain economic benefit more easily. So, (AI) driven technology can be used to change to create any new opportunities to address poor management or resources and improve human well being, such as Africa Latin America and India can use (AI) technology machine man to seek any oil/gas natural resource countries exploitation activities to attempt to gain much economic benefits.⦁Why will (AI) technology grow economicdevelopment? Nowadays, increases in capital and labor are no longer driving the levels of economic growth, such as (AI) technology. The ability of increase in capital investment and in labor of traditional drivers of production, have no longer to be enjoyed in most developed economies, e.g. developed country, US, UK . However, artificial intelligence has the potential to overcome the physical limitation of capital and labor to avoid missing out on this opportunity. So, policy makers and business leaders must prepare for and work toward a future with artificial intelligence. They must do with the idea that (AI) is another simply method to enhance productivity method . Rather they must see (AI) as the tool that can transform thinking about how growth is created. Economists have always thought of new technologies are as driving growth their ability to enhancing. It can replace labor and capital factor of production. So, it brings this question: What is the factor of production (AI) technology characteristics. They key factor is to see (AI) technology as a capital-labor . (AI) can replicate labor activities at much greater scale and speed, and to even perform some tasks began the capabilities of human. For example, by using virtual assistants, 1000 legal documents can be reviewed in a matter of days instead of taking three people six moths to complete. Some (AI) technology may be one kind of factor of production in the future. For another example, people will work in workplace digitalization environment. So, in the future, working environment and information management are automated. Such as Konica camera sale company will use workplace digitalization. So, (AI) technology can provide workplace digitalization in order to raise productivity efficiency. (AI) technology will be one kind of production which is replaced by workplace digitalization and it will grow any organization productivity efficiently. Then, (AI) technology will assist overall social economy growth, due to productivity is raised and products can be produced in short time to prepare to sell in consumption market. So, time will be shortened to increase GDP growth fast for the development of (AI) technology countries.
Why Artificial Intelligence Raises Efficiencies To Avoid Wage Inequality
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Author : Johnny Ch Lok
language : en
Publisher: Independently Published
Release Date : 2019-01-18
Why Artificial Intelligence Raises Efficiencies To Avoid Wage Inequality written by Johnny Ch Lok and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-18 with Business & Economics categories.
Can (AI) service behavioral scientific research method predict Disney visitors behavior ?Using (AI) service behavioral 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 scientistic 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 reserch 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 Assocication 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.