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.

Download or read book Why Artificial Intelligence Raises Efficiency written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why will (AI) technologic knowledgeable robotic workers be raised productivity ?Future, (AI) robotic workers can assist knowledge labors to raise productivity from internet channel. Social science can explain knowledgeable jobs will be useful and popular and assisting labors to raise productivity to work at home online working environments. Within social science, in such discipline is sociology and human psychology and geography which indicates internet technology have changed to online working place environment, sense of working place, online employee role identity, everyday online work and life style, website global working communication and email online communication working interconnections. It seems internet brings access to social, economic and political resources to effect change to both individual and social working conditions, such as employers accept to attempt to use internet to assist office staffs to work at home, e.g. many book publishing businesses like to attempt to publish electronic books from online book store, instead of book shops channel to sell paper books. So these online book stores give chance to authors to publish electronic books or online paper books from online sale channel to earn loyalty income. For example, Amazon online electronic bookstore can publish electronic books and online paper books to sell all one day 24 hours to any countries' readers from its website, so when any countries' readers can enter its website to choose any different kind of subjects of electronic books to buy by visa card conveniently. Such as fiction, psychology, economy, science, law, architecture, medicine, commerce, management etc. subjects. So, any country's reader who does not need to buy air tickets to go to the country's book shop to buy the paper book, who only needs to pay visa card to buy the electronic or online paper books from Amazon publishing's website to buy any countries' electronic and paper books and then the overseas reader can choose either to download it from whose home computer or pays more price to deliver the online paper book to post to whose country conveniently. Hence, this online bookstore sale method will be popular and many free work authors will choose to work to raise the productivity of more quality electronic books numbers from this internet channel. However, the consequences of global change are far from uniform with globalizing influences and adapted as new technological, economic and online working cultural experiences are incorporated by any countries' staffs of any cities, towns and rural areas into their everyday work lives from long distance easily. Since one company can employ different countries' staffs to work from internet working channel at their homes. For example, a America company can employ overseas countries' staffs to work at the same time together by sending job duties from email communication channel among them when the America company has any job arrangement to notify to any staff to finish it any time, then the overseas staff finish the job and who can send whose finished documents to whose America employer any time. It seems the overseas staffs whose working hours can be flexible and those working hours have no regular office working hours to be fixed time table, so they do not need to work in any fixed working time table every working days, who can send their finished office documents to whose employers after who have finished their documents by either email communication channel or office online website downloads office download any time conveniently.

Download or read book How And Why Artificial Intelligence Raises Productive Efficiency written by Johnny Ch Lok and published by . This book was released on 2021-04-17 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does (AI) and digital transformative combination technologies raise productivity growth or improve service performance? From 1995 to 2004 year, US experienced an acceleration in productivity growth, largely reflecting gains associated with the diffusion of ICT technologies. From the early to mid-2000 year onward, productivity growth has slowed down. The potential impacts of the ongoing digital transformation on productivity also need to consider in the context of this long term slowdown. When, the precise reasons for today's productivity remain difficult to a number of factors are likely to contribute as below factors: The first factor that has limited the impacts of digital transformation is the state of diffusion of digital technologies across the economy. When, many firms now have across to broadband networks, the use of more advanced digital tools and application with firms still differs greatly across countries. Moreover, these are important differences between rapid technological change, advanced technologies are initially only adopted by some leading firms and then only later diffuse to all firms as the technologies because more established new business models grow, such as applying digital and (AI) technological combine method to raise productivity growth is caused and costs fall. Consequently, these is large demand between what can be automated from a technical point of view and what may already be implemented by frontier firms and what is actually being achieve to raise productivity growth aim. So, (AI) and digital transformative technology influence future raising productivity growth or improving service aim achievement for many manufacturing and service industry demand.The second factor indicator that the available evidence suggests that the wide-spread benefits of digitalization productivity are not enough. Firms expect to help strengthen investment ( in tangible and intangible assets), e.g. (AI) technology. The same time, there are now starting to experience labor shortages, e.g. in certain technical occupations, such as data scientists. Due to the technological change is fast and growing demand for productivity growth has been increasing. SO, it will influence future (AI) robotic learning system and digital technological combination to be applied to manufacturing and service industries' needs to be raised. Due to many firms expect to find methods to raise productivity growth in order to reduce production costs.However, (AI) and digital technological development can cause multiple forms of disruption, from shifts in demand for workforce skills to changes in market structure, the need for new business models, new patterns of trade and investment. The (AI) and digital potentially transformative technologies can create new inventions, e.g. from quantum computing and advanced energy storage to new forms of 3D printing, big data analytics and neuro-technologies. These new product creative industries must lead the new product manufacturers to expect to learn how to apply (AI) and digital technology to raise productivity growth when their manufacturing processes. IN fact, (AI) is the ability of learning machine and system to acquire and apply knowledge and carry out intelligent behavior. Early efforts to develop (AI) centered on defining rules that software could use to perform a tack, such systems would work in speech recognition, (AI) skill. Increase in computational power, new statistical methods and advances in big data, have brought major breakthroughs to the field of (AI), especially in " vertical " (AI) like automated vehicles as opposed to " general". (AI) with machine learning algorithms that identify complex patterns in large data sets. Software applications can perform tasks and simultaneously learn how to improve productive performance.

Download or read book Artificial Intelligence Raises Efficiency and Productivity written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-08 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter sixMain 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.

Download or read book How Artificial Intelligence Raises Efficiency And written by Johnny Ch Lok and published by . This book was released on 2019-06-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying (AI) robotic workers to raise Walt Disney entertainment theme park service performance3.1Disney (A) robotic service workersHow and why can apply (AI) robotic service workers to serve Disney visitors to let them to feel Disney can provide more warm service performance when they are visiting to Disney entertainment theme park . I shall indicate how to apply (AI) robotic customer service workers to assist enterprises to predict what are clients' preferable choices to increase more attractive effort to win competitors. Enterprises include Walt Disney entertainment theme park how it applied knowledge management psychological method to attract more visitors; Universities why need to consider campus building location and course teaching methods to attract students' choices; airlines why need to consider how flight gas or oil price influences to passengers' choices; underground train enterprises why need to consider route location influences to passengers' transportation choices; Finally, environment protection product firms why need to consider what environment pollution benefits to society to influence businessmen decide to buy environment protection products of choices.

Download or read book Why Can Artificial Intelligence Raise Orgnizational Efficiency and Productivity written by Johnny Ch LOK and published by . This book was released on 2018-11 with total page 695 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.This book aims to explain why and how future artificial intelligent technology ( big data gathering method) can be applied to assist 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.

Download or read book Can Artificial Intelligence Raise Orgnizational Efficiency and Productivity written by Johnny Ch LOK and published by . This book was released on 2018-10-28 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 4Bank organizationFutue (AI)) technology can help any bank organizations to organize more efficient members to serve to different deparments, it will gather their personal skills and effort to help bank organizations to arrange whom will serve to the bank deparments in order to raise different departmental staff performance and efficiency and the most excellent client service performance. For example, one large bank organization which have at least 1000 staffs. It will be difficult to manage and organize every departments to perform efficiently. (AI) technology can attempt to gather every staff's skills and past performance in order to reorganize every staff's effort to arrange to the most suitable department to work in order to raise whose performance in the most efficient effort and performance to serve its different client's saving and loan borrowing , house mortage loan arranging needs. Even, it can help bank to design the most suitable house loan and loan borrowing arranging to let every client to feel it is the comfortable loan paid plan easily. It can be one psychological tool to help bank to evaluate every staff's performance and effort to arrange them to do the most suitable position in any department.Personality is a stable set of characteristics representing the internal properties of an individual.These characteristics, or traits are relatively, are major determinants of behaviour and influence behaviour across a wide variety of situation.The personality played role in the situation at the bank as: Marian, new employee of this bank loan manager, although she had more experienced in bank loan department, but she could not deal how to persuade this bank eight sections of managers to discuss how to solve loan volumes decreasing trouble successfully and meeting was poor performance and these was no result within eight months. Finally, she decided to enquire in Stoddard, the bank president to give suggestionto her how to persuade them to attend any meeting and how to persuade Dave, loan manager to assist her. Hence, she could not perform that she was one experienced person to have ability to solve any staffs personal trouble in this bank loan department within eight months successfully. I think she had an emotional instability trait, the degree to her to handle this issue stressful and she handled high demand situation with difficult. It influenced her job performance poorly and she could not success to work with this bank loan eight sections of managers ,so she could not feel job satisfaction. Her lower levels of emotional instability tended to be negative due to she needed to find bank president to help her to solve this staff meeting trouble easily and she could not attempt to solve staff meeting to discuss how to increase loan volumes by herself within these eight months. Dave, the bank old loan manager and other seven sections of loan managers, whose personalities were non-agreeableness trait. Agreeableness is the degree to which a person is easygoing and tolerant, who believes in the honesty of others, willing to help others and not tend to make conflict and is sensitive to the feelings of others. Due these bank eight sections of loan managers who did not like to attend meeting with Marian to discuss how to solve loan volumes decreasing trouble and there were no any solutions and Dave, this bank old loan manager who does not like to assist Marian to solve this trouble. Thus, I think they are non-agreeableness trait to play in the situation at this bank.

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Download or read book Technology How Influences Organization Performance Improvement written by Johnny Ch Lok and published by . This book was released on 2021-02-12 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Five ways to use AI to improve business efficiency to these office tasksRegardless of a company's size or type, its executives typically look for ways to help it operate as efficiently as possible. They understand the link between efficiency and profitability. If employees waste too much time with drawn-out processes or complicated tasks, it'll be hard for the enterprise to remain profitable and adapt to challenges. Fortunately, artificial intelligence (AI) supports the need for effective business operations. Here are five ways enterprises can use AI for help: 5 ways to use AI to improve business efficiency image.Getting the best results from AI means looking at where bottlenecks exist, then figuring out if and how it might remove or minimise them. AI can help any offices to improve or raise efficiency to these tasks aspects as below:1. Use AI to answer queries and support customer engagementChatbots are an increasingly popular option for businesses to try, and they use AI to work. Companies often build chatbots that can answer any questions from customers that come through outside of business hours. Some identify the nature of a person's problem, then either attempt to tackle it with preprogrammed answers or pass the communications to a human support worker. The retail industry, in particular, saw success by deploying chatbots. Global data collected by Juniper Research shows an estimated 2.6 billion retail-based chatbot interactions in 2019, and the company forecasts the number to rise to 22 billion in 2023.Chatbots are excellent for answering simple questions like "How late are you open today?" or "Do you have gluten-free menu options?" Getting quick answers to queries like those increases the chances customers will choose to do business with one company over another. Equally importantly, when chatbots can give responses in a matter of seconds, there's no need for humans to stop what they're doing and address the questions.2. To enhance reporting speed and accuracyCompany reports reveal things such as which products are selling the fastest and where they're most popular. They can also confirm the impacts of marketing campaigns on product sales, break down the costs of a new packaging choice or shipping method, and much more. However, as anyone that files reports knows, creating them is a painstaking task, and trying to rush through the process could cause mistakes. Some forward-thinking companies are combining AI with big data analytics. Doing this brings better forecasts and takes some of the burdens off the people who prepare the reports. AI also helps conquer the inevitability of mistakes. Even the most careful people make blunders, often because of mental fatigue.AI learns to spot patterns in data and gets smarter with time. This means reports get finished faster and contain more-reliable information. The reliability aspect is crucial, especially since recently published research indicated two-thirds of the senior executives polled had no confidence or trust in big data. Using AI does not mean companies can do without data scientists. However, depending on the technology allows them to reduce the uncertainty that may otherwise exist. It also prevents employees who work with a company's data from being asked to recheck the findings, even if they initially took appropriate precautions to ensure accuracy.3. To improve data transfer speedsFast data transfers help AI technology work. Concerning some information-intensive applications like virtual reality (VR), any slow transmissions greatly interfere with the realism, and content immersion people should enjoy after strapping on a VR headset. As it turns out, AI can improve data transfer speeds, too.

Download or read book Can Possible Artificial Intelligence Raise Efficiency And Performance written by Johnny Ch LOK and published by . This book was released on 2018-12-22 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: England wine bar segmentation case study-applying (AI) robotic workers delivery wine drinks to clients to drink in barBenefit of raising bar wine drinkers' exciting feeling, when they can contact (AI) robotic workers when they are deliving any wine drinks to them in bar. So, different wine bar drinkers can have different (AI) robotic workers' service need. For example, sportmen wine drinkers need robotic workers can serve to let them to let more comfortable after they had played any sports, e.g. bicycling , kicking football, plaing backetball, swimming etc. different kind of sports. So, the bar (AI) robotic service workers need let them to reduce tried when they can touch and see these (AI) robotic service workers in bar. I shall indicate the different bar wine segment client need for different kind of (AI) robotic service workers' service as below:In general, marketers may use a single variable or two or more variables. Geographic segmentation is based on the location of the target market, people living in the same area have similar needs that differ from living in other areas, climate, population, taste and micromarketing. Demographic segmentation is based on factors, such as age, gender, marital status, income, occupation, education, ethnicity. Psychographic segmentation is based on lifestyle and personality characteristics. Behavioral segmentation is based on attitudes toward or reactions to a product/service and to its promotional appeals, usage rate, benefits sought from a product/ a service and loyalty to a brand or a store.There are three basic market targeting strategies, such as undifferentiated, differentiated and concentration. Undifferentiated strategy ignores differences between groups within a market and offers a single market mix to the entire market and it works when a product/service is new to the market and there is minimal or no competition. Differentiated strategy means targeting two or more segments with different marketing mixes for each, concentration strategy focuses on one sub-market. Most British towns would had many small bars, all looking fairly similar to each other, with relatively few point of differentiation. Thus, if the UK bars do not use to segment their markets. I believe these UK bars will face much competition between themselves. In general, the market for drinking in pubs was fairly homogenous, comprising mostly male, who went to the pub mainly to drink and only very rarely to eat.Now, UK pubs, clubs and bars continues to be a popular leisure activity in UK and pubs have benefits from a growth in eating out.

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 2019-03-28 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) reduces the wage inequality toJapan, China, America three countriesmanufacturerFollowing, I shall explain how and why (AI) can reduces or avoids the differences of income inequality to Japan, China, America three countries manufacturers. First, Japan and China Asia both countries have similar factors to cause the income (wage) inequalities. These two countries' employers usually divide the income class that have the top and bottom income classes in their societicies. In fact, Japan and China income gap are similar widening. The Japanese and Chinese have negative perceptions about the income gap because labours perceive whose wages to be influenced by talent, academic background or luck and this perception seems relatively uncommon in the another Western countries, such as America. A large percentage of Japanese and Chinese also think one' income is decided by talent, ademic background or luck, although it should not be. The reason is possible caused by Japan and China societies both have experienced changes in the population structure, family structure and mobility among the income classes during the last three decades.So, if these three countries manufacturers can attempt to apply (AI) robotic to participate their workers' jobs in order to reduce their work burden as well as they are trained to learn how to cooperate with robotic to work efficiently or effectively in factories. So, in talent view point, when these countries manufacturers discovered their manufacturers whom workers can raise efficiency performance to maufacture more products after they cooperate with robotic to work together or whom workers can not raise efficiency performance to maufacture more products after they are trained to learn how to cooperate with robotic to work together. They can know their workers whose effort are higher and they are talent, then they can evaluate who can raise efficiency in order to achieve the productive increasing. They can follow their effort and talent and efficiency factors to pay the more reasonable wage to every worker after robotics are participating their every worker's job in factories.By past income statistics indication, the income inequality of single member householders are ususally lower than those householders with two or more members in Japan and China country. So, it seems the family aging population structure factor can influence wage inequality in Japan and China both countries. The past statistics also indicated that the income inequality in Japan and China have been greater within older group. This life long gap starts widening around the age of 40, when the speed of job promotions begins to differ among employees. So, when (AI) robotic is applying to assist China and Japan workers to manufacture any kinds of products in factories. It will bring more equal wage determination between older age workers and younger age workers and robotics can avoid the age discrimination to cause the lower unequal or unfair wage determination to the older age workers in China and Japan both countries because the China and Japan employers can evaluate whether the worker who ought pay higher wage or lower wage. The reason is not based on age factor. The older age worker ought pay higher wage to compare the younger age worker in the factory if the older age worker can raise productive efficiencies higher than the youger age worker after they both have trained to learn how to cooperate with the robotics to work together in the factory's team. So, robotic's participation can let the factory's young and old workers to feel their employer can pay more fair wage to them to avoid the lower wage workers feel unreasonable eage treatment and leave their employer.

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.

Download or read book Why Artificial Intelligence Raises Efficiencies To written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-05-02 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: What benefits will bring when (AI) robotic technology is applied to internet technology: Productivity growth can reduce production costs and increase returns on investments. Some of which provide greater income for business owners which some are given higher wages to labours. However, the productivity of individuals may be reflected in employment rates, wage rates, stability of employment, job satisfaction or employability across jobs or industries. The productivity of enterprises, in addition to output per worker may measure in terms of market share and export performance. The benefits to societies from higher individual and enterprise productivity may be evident in increased competitiveness and employment or in a shift of employment from low to higher productivity sector. So, employers can use this method to measure every employee's morality and job behaviour performance to judge whether their job ethic and job attitude whether which can adopt to continue to work in whose organizational environment. If the employer discovered the employee's morality and job behaviour performance and job attitude is not achieved to whose work performance standard, then who can decide to either reduce whose salary or dismiss him/her or not increasing whose salary for long term any decision. So, labour ethic issue is very important to influence economic growth to any countries. Whether labour ethic has close relationship to economic growth. I feel this issues concerns any stage of the labour life cycle and organization life cycles, it includes the link between the design of economic theory and labour individual morality and job behaviour and performance. In fact, we need to suppose all research questions and labour economy is as mapping to particular stages of an individual's life cycle to labour economy ought be related to the accumulation of human ( labour) capital, labour market entry and labour supply choices, behaviour within firms and household decision making. Prior years some researchers had been carrying on observing experiments to the women and men labour work and in whose nature environment for weeks, and then used various treatments, including manipulating the environment in such a way to increase and decrease rest periods. They got result long time working hours and not rest time, it will reduce labours( workers) of productivity. So, it implies the overall productivity and individual productivity will be reduced. Although, the employers have enough workers to work in the natural working environment at the same time, but due to who have no enough rest time to provide to them, then their workers' working performance and efficiency will be fallen. Nowadays, industrialized countries had began to consider how to plan similar welfare reforms, researching the economic reasons and consequences to labour economic issue, such as United States, the United King, Sweden and Germany, it seems economic growth and law ethic has close relationship. However, labour economy includes how to measure labour's emotion to raise productivity, as well as how technological change, education, employment and wages which can assist labour to raise productivity. Due to good labour emotion and labour ethic can raise productivity, then raising productivity can also raise economic growth finally. So, I believe which have close cause and effect relationship.

Download or read book Artificial Intelligence Raises Productivity Growth and Service Performance written by Johnny Ch Lok and published by Independently Published. This book was released on 2018-12-13 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.

Download or read book Artificial Intelligence How Raises Productivities And Efficiences written by Johnny Ch Lok and published by . This book was released on 2019-10-06 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: (AI) researchers are native in a variety of domains, e.g. formal tasks ( mathematics, games), tasks ( perception, robotics, natural language, common sense reasoning), expert tasks ( financial analysis, medical diagnostics, engineering, scientific analysis and other areas). From the second business perspective reason view point, (AI) is a set of many powerful tools, and methodologies for using those tools to solve business problems. From a programming perspective reason view point, (AI) includes the study of symbolic programming problem solving and search . From the third human technological perspective reason view point, today's computer can do many well-defined tasks, for example, arithmetic operations, are much faster and more accurate than human beings. However, the computers' interaction with their environment is not very sophisticated yet. How can human test whether a computer has reached the general intelligence level of a human being? Can a computer convince a human interrogator that it is a human? But before thinking of such advanced kinds of machines, human will start developing our own extremely simple " intelligent" machines. So, it is possible that human society job efficiency and performance and productivity will to be changed better, due to artificial intelligent robots are applied to assist human to do anything when (AI) technology is developed to the mature stage in the future.⦁Why does human need artificial intelligence machines?One of major division in (AI) is between humans who think (AI) is the only serious way of finding out how we ( human) work and human who want companies to do very smart things, independently of how we ( human) work. This is the important distinction between cognitive scientists vs engineers. One of another major division in (AI) is between symbolic (AI), which represents information through symbols and their relationships. Specific Algorithms are used to process these symbols to solve problems or deduce new knowledge and connectionist. So ( AI), which represents information in network. Biological processes underlying learning, task performance and problem solving are imitated from human mind behaviors. Thus, it is possible that artificial intelligence machines can do the better human task behavior to achieve productivity and efficiency raising.⦁How does artificial intelligence influence future working changing in automation employment and productivity aspects?(AI) influences the automation working changing aspect, as companies increasingly use robots on production lines or algorithms to optimize their logistics manage inventory, any carry out other core business functions. Technological advances are creating a new automation age in which ever-smarter and more flexible machines will be deployed on an ever larger scale in the marketplace. However, researching artificial intelligence with how influences human working nature. We need to answer these questions: How will automation transform the workplace? What will the implications for employment? What is likely to be its impact both on productivity in the global economy and on employment?