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Behavioral Economy Or Artificial Intelligent Method Predicts
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Book Synopsis Behavioral Economy Or Artificial Intelligent Method Predicts by : John Lok
Download or read book Behavioral Economy Or Artificial Intelligent Method Predicts written by John Lok and published by . This book was released on 2022-06-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In my this book first part, I shall considerate on businessmen and customers both beneficial view point to explain how to apply behavioral economic concept to predict how their specific industries marketing development trend or consumer behavioral changing trend in these micro economic (individual consumer psychological shopping change trend) and macro-economic (global every specific industry marketing changing trend) environment.I shall indicate some specific cases industry to attempt to explain whether it has really relationship between macro and micro economic environment change factors to influence marketing development change trend as well as whether businessmen can apply micro and macro-economic methods to predict future marketing development change trend in these specific industries. In my this book second 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
Book Synopsis The Difference Between Economic and Artificial Intelligent Methods by : Johnny Ch Lok
Download or read book The Difference Between Economic and Artificial Intelligent Methods written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-16 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influnce productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.
Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
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.
Book Synopsis Artificial Intelligence Predicts Product and Service Industry Consumption by : Johnny Ch LOK
Download or read book Artificial Intelligence Predicts Product and Service Industry Consumption written by Johnny Ch LOK and published by . This book was released on 2018-10-25 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrepareThis book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.
Book Synopsis Why Is Big Data Gathering the Best Method to Predict Consumer Behavior by : Johnny Ch Lok
Download or read book Why Is Big Data Gathering the Best Method to Predict Consumer Behavior written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-10-26 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior. If future artificial intelligent technology can be developed to apply to predict consumer behavior, what requirements does it need to achieve consumer psychological prediction function? This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict consumer behaviors?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer behaviors in order to know what will be future market activities and market changes to help them to choose to implement what kinds of marketing strategies more accurately. The methods include economic environmental change prediction method, consumer individual psychological change prediction method, micro or macro behavioral economic environmental change prediction method, marketing environmental change prediction method etc. different kinds of methods which can be applied to predict how consumer behavioral changes to influence whose behavioral consumption to the manufacturer products sale within one to two years short term or three to five years middle term, even above five years long term business plans.Hence, if the product manufacturers can apply the most suitable consumer behavioral prediction method to predict how consumers' choice will be changed to influence their products sale easily. It will have more beneficial intangible and tangible advantages to achieve the their product easier sale aim to ensure their businesses' future market share to be increased more easier to their countries' choice target sale markets. Otherwise, if they applied the inaccurate consumer behavioral prediction methods to predict how their consumers' behavioral changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer behavioral prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good consumer behavioral prediction method to be choose to apply to predict consumer behaviors. I shall indicate some examples, cases to give reasonable evidences to analyze whether (AI) tools will be one kind suitable tool to be applied to predict when and how consumer behavioral changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer behavioral changes. Will it replace other kinds of methods to predict consumer behaviors? Does it have weaknesses to be applied to predict consumer behaviors, instead of strengths? Can it be applied to predict consumer behaviors depending on any situations of only some situation? Finally, I believe that any readers can find answers to answer above these questions in this book.
Book Synopsis How Can Artificial Intelligence Raise Efficiencies To: Avoid Wage Inequality by : Johnny Ch Lok
Download or read book How Can Artificial Intelligence Raise Efficiencies To: Avoid Wage Inequality written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-30 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence Predicts Consumer Behavioral Tool Business Journey by : Johnny Ch LOK
Download or read book Artificial Intelligence Predicts Consumer Behavioral Tool Business Journey written by Johnny Ch LOK and published by . This book was released on 2018-11-23 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: PrepareThis AI science fiction brings readers to image whether what are influenced by artificial intelligent big data gathering tool if it can be invented to replace human marketing research method to predict when, how and why consumer behaviors changes successfully. This book let readers to image themselve are such consumer behavior predictive professional how to apply AI tool to predict customer behavior changes for themselve example product industries in this consumer behavioral predictive journey.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, 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.
Book Synopsis Artificial Intelligence Predicts Consumer Behavioral Tool ? by : Johnny Ch Lok
Download or read book Artificial Intelligence Predicts Consumer Behavioral Tool ? written by Johnny Ch Lok and published by Createspace Independent Publishing Platform. This book was released on 2018-06-11 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, 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.
Book Synopsis Artificial Intelligence Big Data Gathering Predicts Consumer Behavior by : Johnny Ch LOK
Download or read book Artificial Intelligence Big Data Gathering Predicts Consumer Behavior written by Johnny Ch LOK and published by Independently Published. This book was released on 2018-09-19 with total page 488 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 situation. 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. Readers can understand why and how (AI) tool can be attempt to be applied to predict customer emotion and it can influence positive or negative consumption behavior to the product clearly in this part.
Book Synopsis How Artificial Intelligence Raises Efficiency and Performance by : Johnny Ch Lok
Download or read book How Artificial Intelligence Raises Efficiency and Performance written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-11-25 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Can Apply Artificial Intelligence Predicts Consumer Behavior In Business Environment by : Johnny C. H. Lok
Download or read book Can Apply Artificial Intelligence Predicts Consumer Behavior In Business Environment written by Johnny C. H. Lok and published by Independently Published. This book was released on 2018-09-17 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare 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 situation. 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.
Book Synopsis Artificial Intelligence Artificial Intelligence and Avoids Wage Inequality by : Johnny Ch LOK
Download or read book Artificial Intelligence Artificial Intelligence and Avoids Wage Inequality written by Johnny Ch LOK and published by . This book was released on 2018-12-30 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence Raises Sevice Industry Employee Behavioral Methods by : Johnny Ch LOK
Download or read book Artificial Intelligence Raises Sevice Industry Employee Behavioral Methods written by Johnny Ch LOK and published by . This book was released on 2018-11-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes in service industry. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort in srvice industry. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method to predict what service requirements can be satisfied to their potential service consumers' needs.This book has these two research questions need to be answered?(1)Can apply (AI) learning machine predict what and how consumers service to satisfy their needs ?(2)Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumers service needs more accurate?Nowadays, many businessmen or marketing research professional hope to apply different methods to predict consumer service needs in order to know what will be future market activities and market changes to help them to choose to implement what kinds of service 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 service needs changes to influence whose behavioral consumption to the service providers 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 service providers can apply the most suitable consumer service needs prediction method to predict how consumers' service needs will be changed to attract their entertainment or public transportation service or catching air plan etc. different kinds of service choice easily. It will have more beneficial intangible and tangible advantages to achieve the their service attraction aim to ensure their businesses' future market share to be increased more easier to their countries' choice target service markets. Otherwise, if they applied the inaccurate service needs prediction methods to predict how their service need changes wrongly. Then, it will influence their market shares to be same level, even it will decrease their market shares, when their consumer service needs prediction inaccurately.In my this book first part, I concentrate on indicate whether any artificial intelligence (AI) tools will be one kind of good service need prediction method to be choose to apply to predict service need 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 service need changes. If (AI) can be one kind tool to attempt to be applied to predict when and how consumer service need changes. Will it replace other kinds of methods to predict consumer service needs ? Does it have weaknesses to be applied to predict consumer service needs, instead of strengths? Can it be applied to predict consumer service needs 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.
Book Synopsis Artificial Intelligence and Economy and Marketing Consumer Behavioral by : Johnny Ch LOK
Download or read book Artificial Intelligence and Economy and Marketing Consumer Behavioral written by Johnny Ch LOK and published by . This book was released on 2018-12-10 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can apply artificial intelligent learning machine " big data" gathering method to predict manufacturers' behavioral performance ?In consumer view point, can they apply (AI) learning machine to predict manufacturers' behavioral performance to judge whether whose products are value to buy. Nowadays, (AI) and big data are reshaping the risk in consumer privacy. For example, consumers want to hide their willingness to pay just as firms want to hide their real marginal cost, and buyers have less favorable information, say a low credit shore, prefer to withhold it just as sellers want to conceal poor product quality. So, it implies that it is possible (AI) learning machine can help customers to gather any manufacturers' past sale performance, e.g. how many complaints or appreciation from clients, product quality etc. sale data to let consumers to make judgement whether it is value to buy to compare other competitors. So, it has risk to the poor product quality of manufacturers. Otherwise, it has benefits to the good product quality of manufacturers. It also implies all manufacturers' privacy is not protected or secret when (AI) learning machine is popular to be used to predict manufacturers' behaviors by consumers.Information economists suggest that both buyers and sells have an incentive to hide or reveal private information, and these incentives are crucial for market efficiency. Data technology that reveals consumers type could facilitate a better match between product and consumer type, and data technology that helps buyers to assess product quality could encourage high quality production. Thus, (AI) big data technology can also assist consumers to gather different manufacturers' data to compare what their advantages and disadvantages of their products are. Then, consumers can make comparison to choose which brand of product is the suitable to whom to buy in these more choice consumption market. (AI) learning machine will gather similar brand their products' data to analyze to make conclusion to let consumers know or feel to make final judge to find what advantages or disadvantages of these sample brands of similar products' comparison from internet. On the other hand, it means that manufacturers can gather consumers' past purchase behaviors or purchase experience from (AI) big data gathering method to record and analyze to give opinions to let manufacturers to know what reasons or factors influence consumers choose not to buy their products from internet.(AI) big data gathering consumer behavior prediction method can give these benefits to manufacturers and consumers both, such as: New concerns arise because (AI) technological advance which have enables reducing cost of collecting, storing, processing and using data in mass quantities extend information beyond a single transaction. These advances are often summarized by the big data, it means charge volume of transaction-level data that could identify individual consumers by itself or in combination with the datasets.The popular (AI) takes big data as in input in order to understand, predict and influence consumer behavior. Modern (AI) is used by legitimate companies, could improve management efficiency motivate innovations and better match demand and supply. But (AI) in the wrong hand, also allows the mass production of fraud and deception. Since , data can be stored, traded and used long after the transaction. Future data use is likely to grow with data processing technology, such as (AI) big data gathering consumer and manufacturer behavioral prediction method from internet channel.
Book Synopsis Artificial Intelligence Predicts Consumer Behavior Tool ? by : Johnny Ch LOK
Download or read book Artificial Intelligence Predicts Consumer Behavior Tool ? written by Johnny Ch LOK and published by . This book was released on 2018-06-03 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare 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 manufactuers' 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, 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 behaviral 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.
Book Synopsis Why Artificial Intelligence Raises Efficiencies To by : Johnny Ch Lok
Download or read book Why Artificial Intelligence Raises Efficiencies To written by Johnny Ch Lok and published by . This book was released on 2019-07-16 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
