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Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (877 download)
Download or read book How Applying Robots To Improve Consumer Behavior written by John Lok and published by . This book was released on 2022-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.8/5 (859 download)
Download or read book How Robot Influences Consumer Behavior written by John Lok and published by . This book was released on 2022-02-02 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: I write this book aim to explain how and why whether artificial intelligence ( big data gathering tool) is better method to compare economic or statistics or psychological methods to predict consumer behavior. If future artificial intelligent technology can be developed to apply to predict consumer behavior, what requirements does it need to achieve consumer psychological prediction function? In future, organizations to consider how to raise staff efficiency and performance in order to raise productivity. I shall give opinions to explain how to attempt to apply (AI) technology to make psychological analysis to assist any organizations to make more accurate raising performance and efficient methods. In my this book part five, I shall explain future how to attempt to apply (AI) technological method to give psychological recommendation to any organizations to assist them to raise staff efficiency. I shall attempt to indicate how to apply (AI) psychological recommendation technology to give any efficient performance opinions to let these organizations to learn, such as marketing consultant organization, basketball team organization, interior decorating organization, bank organization, hotel organization, university organization, film organization, nuclear factory organization, electronic assemblies factory organization, medical organization and television organization.
Author : George Pettinico
Publisher : Business Expert Press
ISBN 13 : 1951527690
Total Pages : 149 pages
Book Rating : 4.9/5 (515 download)
Download or read book The Coming Age of Robots written by George Pettinico and published by Business Expert Press. This book was released on 2020-06-01 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth look at how American consumers will react to the significant social, economic and marketplace changes that will be brought about by the robot revolution. Over the next twenty years, the presence of robots will dramatically increase in our daily lives. Robots will serve as maids, gardeners, companions, waiters, security guards, nurses, teachers, playmates, receptionists, chauffeurs and prostitutes – to name only a few roles they will assume. These robots will be intelligent, autonomous, communicative, emotional, and continually progressing in their abilities. This book provides an in-depth look at how American consumers will react to the significant social, economic and marketplace changes that will be brought about by the robot revolution. Our insights come from national surveys of over 2,700 Americans, as well as a thorough review of existing academic research and expert predictions. We provide suggestions for publically-acceptable robot roles, robot design and the optimal marketplace approaches for successful human-robot interactions. Ready or not, it’s coming. And sooner than you might think.
Author : Johnny Ch LOK
Publisher :
ISBN 13 :
Total Pages : 181 pages
Book Rating : 4.5/5 (288 download)
Download or read book Can Robots Influence Market Development written by Johnny Ch LOK and published by . This book was released on 2021-06-29 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Main barriers influence artificial intelligence consumer behavioral prediction to threaten AI marketing development in success. The factors may include: In future, it is possible that these barriers will influence how to apply (AI technology) to predict consumer behavior in success. The barriers may include: Lacking of a (AI) digital data gathering vision and strategy, lacking of efficient workforce readiness, (AI) technology constraints., non reaching (AI) consumer behavioral prediction mature stage, time and money and resource constraints, law and regulations prohibition to develop (AI) consumer behavioral prediction bug data gather technology. However, the recommendation of solutions to attack the barriers to influence artificial intelligence consumer behavioral prediction not success, it may include gaining employee buy in to participate and develop (AI) consumer behavioral prediction technology, making customer experience to a concern (AI) big data gather questionnaire investigation, providing compensation, training to employees in order to achieve (AI) consumer behavioral big data questionnaire investigation research digital technological goals and strategy, task senior leaders manage any (AI) digital big data gather technology changes, putting policies and (AI) big data gather digital technology in place to support a fully remote, flexible workforce in any (AI) digital big data gather questionnaires research projects, teaching all employees how to code/understand (AI) big data gather consumer behavioral prediction software development, appointing a chief (AI) officer to manage any (AI) big data gather customer behavioral prediction projects and automate everything and encourage customers to attempt experience to self-service and (AI) big data gather questionnaire research to earn beneficial consumption aim after they gave feedback to any (AI) digital questionnaire researches. So, in the future, the (AI) digital big data questionnaire researches can include these industries surveyed, such as automat m financial services, public healthcare, private healthcare, technology, telecoms, insurance, life sciences, manufacturing, media and entertainment , oil and gas, retail and consumer products etc. Hence, in the future, any of these industries can attempt to apply (AI) digital big data gather technology to predict how and why consumer behaviors will change in order to avoid reducing consumer number threat occurrence. 10.1 (AI) digital data gather technology predicts food consumer behavior's main barriers What 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.
Author : John Lok
Publisher : Notion Press
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (881 download)
Download or read book Can Robots Influence Human Behavioral Change written by John Lok and published by Notion Press. This book was released on 2022-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influence productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method. This book has these two research questions need to be answered? Can apply (AI) learning machine predict consumer behaviors? Can (AI) learning machine replace human marketing research method, e.g. survey or human psychological and micro and macro economic methods to predict consumer behaviors more accurate? Can robots influence human social future behavioral change?
Author : Musiolik, Thomas Heinrich
Publisher : IGI Global
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.3/5 (693 download)
Download or read book Enhancing and Predicting Digital Consumer Behavior with AI written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-05-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately. Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior.
Author : John Lok
Publisher :
ISBN 13 : 9789357902786
Total Pages : 0 pages
Book Rating : 4.9/5 (27 download)
Download or read book Robots Bring What Advantages To written by John Lok and published by . This book was released on 2023-07-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare This book divides two part, first part discuss how AI can change market development to be better as well as second part discuss how Ai improves economic recession. Can apply robotics to bring advantages to change organizational structure in order to improve market development to be better in the future ? Different kinds of business organizations will encounter different kinds of challenges, e.g. cost increasing, staff shortage, reducing customers number or sale etc. challanges. So, when the organization can judge whether which aspects of weaknesses it is experiencing as well as it can know why and how to attempt to implement the most suitable or the best strategy to solve its challenge when it is facing. Then, the organization will have possible to continue to existen. Otherwise, if the organization can not find whether which aspects are its difficuties, it is facing. Then, it can not implement the most suitable strategy to solve its challenges. Then, it will be closed down in possible. In my this book, I shall attempt to indicate some organizational cases and find whether what weakness or difficulties it is facing. Then, I shall recommend the best strategy to attempt to help it to solve the kind of challenge, it is encountering. Any have interesting to learn business strategy students, they can learn new strategic knowledge to help these organizations to solve their challenges. Nowadays, robotic had been applies to different aspect to bring benefits to satisfy humans needs, they may include any hospitals' surgeon rooms medical surgeon equipment aspect, hotel room food delivery or hotel front line customer service aspect, shopping center, leisure places cleaning task aspect, student educational service aspect, warehouse logistic goods transport delivery tasks aspect, even general restaurants kitchen cooking tasks aspect, lawyer and accountant firms general bookkeeping, law writing draft clerical tasks aspects etc. Can robotic invention help employers to improve efficiencies or raise productivities in order to raise economic growth or it can be replaced low-skillful workers to cause any low-skillful jobs are done by artificial robots to achieve many low skillful workers will lose jobs and unemployment ratio will be influenced to raise in our societies? I write this first part aims to discuss whether future robotic invention may help our societies improve economic growth or it can bring recession. This book includes two parts to discuss, this part indicates what reasons to explain why robotics may influence our societies economic growth as well as second part indicates what reasons to explain why robotics may bring our social recession both in possible. Readers can make individual analysis to judge whether robotics can influence our social economic growth or it may bring recession more. This book second part 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.Can apply (AI) learning machine predict what and how consumers service to satisfy their needs ? 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? In
Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 126 pages
Book Rating : 4.8/5 (859 download)
Download or read book Robot And Economic Environment How written by John Lok and published by . This book was released on 2022-02-04 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: How AI technology influence productivities and service performance ? Whether it can raise productivities and improve service performance?This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assit businesses to predict why and when and how consumer behavior changes. I shall explain why traditional psychological and statistic and marketing methods are applied to predict consumer behaviors, human's judgement and analytical effort will be worse to compare AI machine's judgement and analytical effort. Also, I shall indicate different business organizations why they apply AI big data gathering method to help them to design any questionnaires ( surveys) questions which will be more valid and useful to conclude human's questionnaires ( surveys) design questions method.
Author : Johnny Ch LOK
Publisher :
ISBN 13 : 9781093469608
Total Pages : 253 pages
Book Rating : 4.4/5 (696 download)
Download or read book Artificial Intelligence Predicts Customer Behavior written by Johnny Ch LOK and published by . This book was released on 2019-04-10 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Main barriers influence artificial intelligence consumer behavioral predictionIn future, it is possible that these barriers will influence how to apply (AI technology) to predict consumer behavior in success. The barriers may include: Lacking of a (AI) digital data gathering vision and strategy, lacking of efficient workforce readiness, (AI) technology constraints., non reaching (AI) consumer behavioral prediction mature stage, time and money and resource constraints, law and regulations prohibition to develop (AI) consumer behavioral prediction bug data gather technology.However, the recommendation of solutions to attack the barriers to influence artificial intelligence consumer behavioral prediction not success, it may include gaining employee buy in to participate and develop (AI) consumer behavioral prediction technology, making customer experience to a concern (AI) big data gather questionnaire investigation, providing compensation, training to employees in order to achieve (AI) consumer behavioral big data questionnaire investigation research digital technological goals and strategy, task senior leaders manage any (AI) digital big data gather technology changes, putting policies and (AI) big data gather digital technology in place to support a fully remote, flexible workforce in any (AI) digital big data gather questionnaires research projects, teaching all employees how to code/understand (AI) big data gather consumer behavioral prediction software development, appointing a chief (AI) officer to manage any (AI) big data gather customer behavioral prediction projects and automate everything and encourage customers to attempt experience to self-service and (AI) big data gather questionnaire research to earn beneficial consumption aim after they gave feedback to any (AI) digital questionnaire researches. So, in the future, the (AI) digital big data questionnaire researches can include these industries surveyed, such as automat m financial services, public healthcare, private healthcare, technology, telecoms, insurance, life sciences, manufacturing, media and entertainment , oil and gas, retail and consumer products etc. Hence, in the future, any of these industries can attempt to apply (AI) digital big data gather technology to predict how and why consumer behaviors will change in order to avoid reducing consumer number threat occurrence.5.1(AI) digital data gather technology predicts food consumer behavior's main barriersWhat are the main barriers to food industry? When the food manufacturer applies (AI) big data gather technology to predict food consumer behavior? The barriers include that the food manufacturer / provider needs to decide whether when the right time is applied to the right (AI) digital big data prediction tool channel to find the right food consumers to be chose to full food consumption satisfactory questionnaires, how to gather multi-class food consumption classifiers on real-world food consumers transactional data from the food sale domain consistently to show the critical numbers of different kinds of food items at which the predictive performance most accurate? So, any food manufacturer / provider's advanced in (AI) digital data gather warehousing and management technologies can provide that opportunities for food business to enhance long term relationship with the food providers' clients. However, food industry's (AI) digital data gather aims to improve food customer product targeting, increase food customer loyalty and food purchase probability to the food supplier. To effective identify, understand and satisfy the needs of their food customers, the food suppliers need to develop the right (AI) digital questionnaire questions and find the right food customers to fill every right questions from every digital questionnaire at the right time through the right channel.
Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781795254540
Total Pages : 102 pages
Book Rating : 4.2/5 (545 download)
Download or read book Why Artificial Intelligence Raises Efficiencies To: Avoid Wage Inequality written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-27 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: The standard economic model of consumer behavioral (AI) robotic service tool advantages includes: A logically consistent theory of consumer behavior can be built, that theory can be used to make predictions about consumer behavior and those predictions can be compared with reality and those models often correspond to actual behavior of consumption reasons. What is the inconvenient truth? It includes clear evidence from psychology has shown that the rationality assumptions of standard economic model are wrong. Evidence from psychology has shown that consumers often are irrational and also who are predictably irrational. So these are wrong view point to influence how economists judge what cause consumption of behavior. Thus, it beings this question? What is mean of predictably irrational? It means that of irrational consumers were irrational in random ways, who would cancel each other out, leaving the overall outcomes determined by the behavioral consumption of rational consumers. As that case, behavioral economic theories that ignored irrational behavioral consumption would work just fine. But, psychology has shown that consumers are irrational in similar and predictable ways. Therefore, irrationality doesn't cancel out and can't be ignored to judge why the behavioral consumption has been caused.2.1How to apply (AI) robotic service techology to raise or improve service performance?What is psychology of consumption behavior?Psychology is the science of human behavior and mental consumption processes. In consumption process behavior, it is any consumption behaviors as well as consumer mental consumption process is consumer individual internal experiences, comparison with alternative products, products choice of the best, making decision to consume or not consume for the product. So, advertisers often persuade to influence consumers' behavior to attract them to choose to buy whose products.Why businessmen need to learn consumer psychology? Because psychology can help businessmen scientifically to evaluate common consumer beliefs and misconceptions about consumption behavior and consumption decision making mental processes. Consumption scientific psychology has four basic goals: To describe, explain, predict and change consumption behavior and consumption decision making mental process. Consumption psychological information is based on evidence, this is information based on direct observation and measurements with consumption behavior with scientific method. How are typical images of psychology? Consumption psychologists need to use scientific method to help businessmen to think what predicts who own, make a list of words would who use to describe a psychological scientist and what use to describe a psychological scientist and what images the businessmen have. However, consumption psychologists have difference ways of looking at the same problem for the businessmen, which is why there are so many sub-fields of consumption psychology. Consumption psychology's roots began in philosophy, but the focus changes to a scientific focus consumer.Behaviorism is focused on consumer buying behavior that can be measured and observable. This returned the scientific approach to consumption psychology. Consumption behaviorist's believe consumers are controlled by their environment. Consumption behaviorism focuses on consumption observable behavior. However, consumption cognitive psychology believes that consumption behaviors are preformed because of the product ideas and thoughts. The cognitive perspective focuses on such consumer decision making and choice processes, such as perception, memory and thinking to the product.
Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.7/5 (278 download)
Download or read book Management Accounting Science written by Johnny Ch Lok and published by Independently Published. This book was released on 2021-03-24 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying HR management accounting learns consumer behaviorManagerial accounting purposes to be used by management in "making by business decision: It includes product caost, budget, forecast and various financial analysis consumer behavior is the series of behaving of patterns that consumers follow before making a purchase through consumer behavior, you can also earn how customers interact with and the year products. So, any organizations may attempt to find any management account past year past per month transaction records to bring consumer behavioral change predictiver knowledge, it can help future decisions about product creation more easily.Hence, the management accoutning knowledge focuses the process of creating organization goals by identifying, measuring, analyzing, interpreting and communicating informations to managers is call management or manerical accounting. Management accounting focuses on all accounting aimed at informing management about operational business metics. Also, any managers may attempt to gather past product number presentation date to find whether what the main factors can influence consumer buying behavioral change in its any kinds of products, the level of motivation also affects the buying behavior of customers, e.g. whether the products' sale prices sight rise, to influence customer number reduces, or whether the product's traditional old design is not more attractive or popular to accept to compare other linds of competitors' similar product design, or whether the kind of product is not popular to be accpeted to use, the another how invention of similar product ot the market is recession, it need to change another new sale market, if replaces its existence etc. different factors.Hence, management accounting can help managers to attempt to gather past the product's sale and production past data to carry on analyzing whether what the main factor to influence its customer number reduces or increases in other to improve its sale strategy.⦁Computer sale applies management accounting to predict consumer behavior
Author : Johnny Ch Lok
Publisher : Independently Published
ISBN 13 : 9781793285843
Total Pages : 102 pages
Book Rating : 4.2/5 (858 download)
Download or read book Artificial Intelligence Raises Efficiencies written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-01-06 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides two part: Artificial intelligence how raises efficiencies as well as how and why it can be influenced to bring to avoid wage inequality welfare. This book part first is concerned how to apply artificial intelligent machine or robot to raise productivive efficiency in factory. I shall assume that (AI) robotic can assist labours to raise productivities and bring raising efficiency. Then it brings these both questions as below: Research question: How to apply (AI) technology to raise labor efficiencies or productivities?Research question: Why and How (AI) technology can help employers to evaluate or measure whom has higher or lower productive efficiencies in order to evaluate the more reasonable or equal wages to every worker when it applies (AI) technology to assist labours to manufacture any products?The first part is intended to explain why and how (AI) technology and raising productivity or efficiency has close relationship. First part gives some artificial intelligence technologic concepts to indicate why and how (AI) can raise labor productive efficiency to assist labor to work in factories. This book first part is suitable to any managers have interest to learn how to apply (AI) technological productive method to achieve economic benefit in factories . In this part, the main important aim, I give examples to explain how to apply (AI) technology to raise labor productive efficiencies really.This book second part to explain why and how AI can bring advantages to organizations to reduce wage more inequality when they apply AI technology to assist labor to raise efficiencies. I shall indicate Japan, China, America three countries to explain they applied (AI) technology to assist labors to productivities, then they can raise efficiencies, even avoid the wage inequality causes. For example, why and how (AI) can reduce regular/non-regular wage gap when Japanese and Chinese manufacturing firms apply (AI) technology to raises efficiency as well as causes the wage is paid more fair to their labours. Also, I shall explain why and how any country's firm will bring more efficiency and more fair wage equality when they applied (AI) technology to assist labours to produce. Finally, I write this book aims to explain how the process of (AI) technologic robots field develops to assist employees to raise productive efficiencies. I shall indicate how and why book supplier and entertainment theme park and educational service example to explain how these service industries can apply (AI) robotic machines to assist employees whether (AI) can assist raise efficiencies as well as how and why these service industries can apply (AI) to assist teachers or entertainment service staff or warehouse book printing staff to bring the raising efficiencies benefit in order to evaluate their staffs whom has higher efficiencies or lower efficiencies to evaluate the more reasonable or equal wage consequently.
Author : Sinha, Mudita
Publisher : IGI Global
ISBN 13 :
Total Pages : 393 pages
Book Rating : 4.3/5 (693 download)
Download or read book Improving Service Quality and Customer Engagement With Marketing Intelligence written by Sinha, Mudita and published by IGI Global. This book was released on 2024-07-17 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are inundated with data and need guidance on leveraging it effectively to craft successful marketing strategies. Additionally, the ethical and privacy concerns surrounding the collection and use of customer data make the marketing landscape even more complex. Improving Service Quality and Customer Engagement With Marketing Intelligence is a groundbreaking book that offers a comprehensive solution to these challenges. This book is a must-read for marketing professionals, business owners, and students, providing a practical guide to navigating the digital age. It explores the impact of digitalization on marketing practices. It offers insights into customer behavior, equipping readers with the knowledge and skills needed to thrive in today's competitive market. The book's interdisciplinary approach integrates insights from marketing, technology, data science, and ethics, giving readers a holistic understanding of marketing intelligence.
Author : Johnny Ch Lok
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.6/5 (74 download)
Download or read book Robotic How Influences Consumer Emotion written by Johnny Ch Lok and published by . This book was released on 2020-07-29 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can apply (AI) digital channel to predict consumer behaviors?(AI) digital channel can be applied to help businesses to evaluate whether how much the product price is the most attractive to persuade consumers feel it is the most reasonable price to sell. It helps consumers to feel which brands of products which ought change the price to let consumers to choose to buy the brand of product. It can be applied to predict whether how many consumer numbers can be increased or decreased when the brand of product's price is variable. It aims to give opinions to help any brand of product manufacturers or sellers to judge whether which price is the most reasonable to let consumers to accept to choose to buy the brand of product in popular.Thus, (AI) price measurement technology can be preference to be applied online communication ecommerce and mobile phone internet platform aspect. As businesses can enter their past products prices data and past customer number data into computer or mobile. Then, (AI) price measurement technology can gather these data to analyze these product prices and past customer number to compare their prices variable changing range level to find their price variable difference to measure to make conclusion about every product's price variable changing will influence how many customer number increase or decrease changing to choose to sell their different kinds of products more accurate. Then, (AI) price measurement software will help them to analyze all past price variable changing data to compare whether which price range can let customers to feel it is more reasonable and attractive to influence them to choose to buy the product among different brands of product choice.Because any product's price is one important factor to influence consumers to choose to buy the product, instead of quality, durability, shape, appearance, color, brand familiarity etc. factors. Any online businesses with a focus on Asia should considerate (AI) customer care, and virtual shopping experience, whereas is Europe and North America still value face-to-face and/or real human interaction over (AI) or virtual worlds.For example, Amazon publish has applied (AI) price measurement technology to help authors to decide how much every different topic of e-book or paper book price, it can attract the largest number of readers to buy. Any one author only needs to type whose book name to Amazon publish author himself/herself Amazon website. Amazon publish (AI) price measurement learning machine will help them to auto-calculate and judge how much e-book or paper book price is the most attractive and the most reasonable in order to increase reader number to buy their e-books or paper books to read. So, (AI) online price measurement machine will gather past similar book names and past every similar book readers' reading times and the number of readers to give opinions to let every author to judge whether his/her very new e-book or paper book ought charge how much price to the e-book or paper book which can attract many readers to choose to buy. Although, it is not ensure that the e-book or paper book price must let readers to feel it is the most reasonable price to choose to buy in reader's view point. However, it has other factors to influence readers' choice to buy the e-book or paper book, e.g. whether the book content is attractive to public, the author's familiarity, the book's page is enough or not to satisfy readers to read etc. factors. But, instead of all these extra factors to influence readers to choose to buy the book to read. (AI) price measurement learning machine can real give opinions to every author to let them to judge the e-book or paper book different price range whether is too high to influence readers to choose to buy to read or tool low to influence readers feel it is possible poor content book to compare other similar content books.
Author : John Lok
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.8/5 (856 download)
Download or read book Can Robots Excite written by John Lok and published by . This book was released on 2022-01-17 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Johnny Ch Lok
Publisher : Can Apply Artificial Intellige
ISBN 13 : 9781720180869
Total Pages : 362 pages
Book Rating : 4.1/5 (88 download)
Download or read book Can Apply Artificial Intelligence to Predict Consumer Behavior: In Any Business Environment ? written by Johnny Ch Lok and published by Can Apply Artificial Intellige. This book was released on 2018-09-09 with total page 362 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. 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.
Author : Johnny C. H. Lok
Publisher : Independently Published
ISBN 13 : 9781723774508
Total Pages : 572 pages
Book Rating : 4.7/5 (745 download)
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.
