How Artificial Intelligence Raises Efficiencies And Improves Performance PDF Download

Author: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 66

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Can ARTIFICIAL INTELLIGENCE intentions Disney visitor behavior be predicted by survey research ?How can be survey research measured that is applicable to intentions, attitude or satisfaction data to predict consumer behavior? Whether surveyed consumers will be predicted how consumers behavior are more easier than non surveyed consumers. Most academic studies of satisfaction use consumers' intention to repurchase as the criterion variable ( for an exception, see Bolton 1998), and most companies rely on consumers' purchase intentions to forecast their adoption of new products or the repeat purchase of existing ones ( Jamieson and Bass 1989).In practice, some consumer psychologists' studies adjust the intention scores by analyzing that actual purchase behavior of consumers whose purchase intentions have been measured previously. For example, the popular ACNIELSEN BASES model forecasts aggregate purchase rates by applying conversion rates to measured purchase intentions ( e.g. it seems that 75% of consumers who checked the top purchase-intentions box will actually purchase the product). To obtain these conversion rates, BASES uses previous studies that measured the purchase intentions of consumers and then tracked their actual purchases. However, investigating whether survey research is useful to measure consumer behavior. It has a weak point, a limitation of these studies is that companies ( businessmen) focus on the internal rather than the external accuracy of purchase-intention measures. That is, the company studies measure the improvement in the ability to forecast the behavior of consumers whose intentions who previously measured for survey research experiments, not the behavior of consumers whose intentions who did not measure. Therefore, the studies assume that the companies can predict the intention-behavior relationship of non-surveyed consumers on the basis of the relationship that surveyed consumer exhibit.It would suggest that studies measure the strength of the association between intentions and behavior on the same sample of consumers overstate that external predictive accuracy of purchase intentions by survey method. This would explain why so many new products fail even after which are performed well in purchase-intention tests by survey method. I shall suggest survey framework distinguished between two sources of measurement reactivity. The first is self-generated validity effects, it is as a strengthened relationship between latent intentions and behavior, due to the measurement of intentions from post-survey research. The second source includes all measurement effects that are independent of latent intentions, such as those that social norms or post-survey intention modifications create.

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781790333752
Category :
Languages : en
Pages : 296

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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.

Author: Johnny Ch LOK
Publisher:
ISBN: 9781792129070
Category :
Languages : en
Pages : 66

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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.

Author: Johnny Ch Lok
Publisher:
ISBN:
Category :
Languages : en
Pages : 30

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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.

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781790561698
Category :
Languages : en
Pages : 106

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IntroductionNowadays, artificial intelligent robotic technology which is one kind of popular tool to help workers to work in factories or offices or serve clients in restaurants or shopping centers. It brings this question: Can artificial intelligent robotic machine men assist workers to raise productive efficiencies or improve service performance? All workers are replaced by artificial intelligent robotic machine or some workers are replaced by artificial intelligent robotic machine which can raise more productive efficiencies or improve better service performace ?If one factory or one office only applies artificial intelligent robotic machine men to replace human labors to help its different departments to do any tasks, whether can its (AI) robotic machine men help them to raise productive efficiencies ? If one restaurant or one shopping center only apply (AI) robotic machine men to help to serve clients, whether can its (AI) robotic machine men help them to improve service performance? Is it better to apply half manual labors and half (AI) robotic machine men to work in one organization in order to raise productive efficiencies or improve service performance?In my this book, I shall indicate some cases to explain how and why (AI) robotic machine men can either raise productive efficiencies or improve service performance or they can't either raise productive efficiencies or improve service performance in any situations. Managers or employees can evaluate whether how to apply (AI) robotic machine men to assist them to work in their workplaces in order to achieve the most beneficial advantages to their organization's different departments' raising productivity and efficiency and service performance improvement aims.This book concerns how to apply artificial intelligence technology to apply to US some consumption market. I shall explain how to apply (AI) technology to these America consumption market to raise their food or product productivity growth efficiently. I shall indicate some popular American consumption market of some consumer products and foods as well as manufacturers' production of material consumption products. This book brings two questions: (1)Can apply (AI) technology to raise these US food and product productivity growth?(2) Will these US food and product quality influence to be poor after (AI) technology is applied to raise productivity growth ? The manufacturers material and consumers product researching topics include: How to apply (AI) technology to raise future U.S. tobacco productivity growth? How to apply (AI) technology to raise steel material productivity growth for manufacturing industries? How to apply (AI) technology to raise minerals productivity growth for U.S. manufacturing industries? How to apply (AI) technology to improve oranage fruit and vegetables logistic transportation speed in efficient way in warehouses? How to apply (AI) technology to improve U.S. alcohol logistic transportation speed in efficient way in warehouse? How to apply (AI) technology to improve U.S. energy service performance to satisfy energy users' needs? How to apply (AI) tehnology to improve wine and tea logistic transportation speed in warehouse? How to apply (AI) technology to improve pork logistic transportation speed in warehouse? How to apply (AI) technology to improve U.S. tourism entertainment service performance to satisfy traveller needs? How to apply (AI) technology to impove sugar logistic transportation speed in warehouse? How to apply (AI) technology to raise lighting product productivity growth ?

Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35

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Book Description
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.

Author: John Lok
Publisher: Notion Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 0

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This book divides two part: Artificial intelligence raises productive efficiency and service performance. 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. Research question: How to apply (AI) technology to assist employees to improve service performance to serve clients? This book second part is concerned how to apply (AI) technology to raise service performance. Also I shall compare to explain what advantages and disadvantages when the organization either choose to apply (AI) or not choose (AI) to assist employees to serve clients, these any one sample industry encounters customer complains, due to it lacks (AI) technologic assistance to aim to let any reader to judge whether how to choose the solvable method is better. In, conclusion, this book can provide sample industries to let students to feel whether (AI) technology will raise labor productivities or efficiency or service performance.

Author: Johnny Ch Lok
Publisher: Independently Published
ISBN: 9781795254540
Category : Business & Economics
Languages : en
Pages : 102

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Book Description
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:
ISBN:
Category :
Languages : en
Pages : 452

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Book Description
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.