Future works change: Automation, employment and productivity⦁How (AI) influences employment Human future " micro to macro" industry trends will be affected business strategy and public policy by (AI) technology. In the future (AI) technology will influence those six themes: productivity and growth, natural resources, labor markets, the evolution of global financial markets, the economic impact of technology and innovation and urbanization. However, (AI) technology will bring economic benefits of tackling gender inequality, a new global competition, Chinese innovation and digital globalization.Nowadays, advances in robotics artificial intelligence, and machine learning are in a new age of automation, as machines match or outperform human performance in a development to any countries. For example, automation of activities can enable businesses to improve performance by reducing errors and improving quality and speed, and in some cases achieving outcomes that go beyond human capabilities. For example, some research indicated automation could raise productivity growth globally by 0.8 to 1.4 % annually; more than 2,000 work activities across 800 occupations. When less than 5% of all occupations can be automated using demonstrated technologies about 60% of all occupations have at least 30% of constituent activities that could be automated. Many occupations will change that will be automated away: Activities most susceptible to automation involve physical activities, in highly structured and predictable environments, as well as the collection and processing of data. They are most prevalent in manufacturing, accommodation and food service and retail trade and include some middle-skill jobs. For example, such as natural language processing is a key factor. Beyond technical feasibility, the cost of technology competition with labor including skills and supply and demand dynamics, performance benefits including and beyond labor cost savings, and social and regulatory acceptance will be affected by (AI) automation technology. Thus, (AI) automation will impact to influence global employment in those aspects as below: Firstly, assuming that people are displaced by automation will find other employment. The anticipated shift in the activities in the labor force is of a similar order as the long-term shift away from agriculture and decreases in manufacturing share of employment. Both of manufacturing and agriculture industries which would be accompanied by the creation of new types of work not foreseen at the time.Secondly, for business, the performance benefits of automation are relatively clear. Thus, the businessmen have opportunities for their micro economies to benefits from the productivity growth potential and macro economies to benefit to encourage continued progress and innovation, investment and market incentives. At the same time, employers must innovate policies to help workers and institutions adapt to the impact on employment. This will likely include rethinking education and training, income support and safety nets, as well as support for those dislocated, when employees need to leave themselves homes to move to other cities to learn new (AI) automation works. Thus, individuals in the workplace will need to engage move comprehensively with machines as part of their everyday activities, and acquire new skills that will be in demand in the new automation age. Consequently, the scale of shifts in the labor force over many decades that automation technologies can be a similar order to the long -term technology -enables shifts in the developed countries' workforces away from agriculture in the 21 th century. Those shifts did not result in long-term mass unemployment because they were accompanied by the creation of new types of work not foreseen at the time. However, human will still be needed in the workforce when the total productivity gains are caused by (AI) technology.

This book concerns to be given my opinions to explain whether artificial intelligent technology will impact our life and will influence economic development in the future, due to productivity raises. I bring two research questions: Can AI grow productivity? If AI can grow productivity, how can it raise and economic growth? In chapter one, I shall explain what the (AI) functions are benefited to human and I shall indicate whether how it can impact human job nature to raise productivity or not. I shall explain whether (AI) can influence to change to human job market to be better or worse in future global labor market in order to raise productivity in possible. In chapter two, I shall indicate how (AI) will influence global economic technology productivity change whether it is positive or negative more as well as I shall indicate whether (AI) technology can impact global service management industry development to be better or worse in order to raise productivity.

Can human behavior influence economic development or technology influences economic development? Can robot influence human or organizational behavioral change in order to bring economic benefit? Can construction apply facility management method to help it to bring long term reducing cost economic benefit? Can technology become one kind of production resource in order to help organizations to reduce cost? Technology will bring only positive benefit to organizational development or negative influence also. Can education or government policy may bring economic development. Which factor is the best method to bring economic development. I shall attempt to explain above factors whether which is the best factor to help our economy to develop. In recent years, machines had been used to be human's tasks in the performance of certain tasks related to intelligence, such as aspects of image recognition. Experts also forecast that rapid progress in the field of specialized artificial intelligence will continue. Then, it also brings this question: Does (AI) exceed that of human performance on more and more tasks? If it is truth, will some of human jobs to be disappeared? (AI) will be instead of human some simple jobs, then unemployment rate to the low skillful and low educated workers will be increased.

This book explains why and how organizations need to raise employees performance as well as what negative influences to bring to the organization if the organization neglected to learn how to improve employee performance in long time. Why does robotic can improve employee performance? How can employees behaviors influence organizational efficiencies when robotic participate to any organizations? How to evaluate or judge whether employee individual performance may satisfy organization needs? How to improve employee performance when AI participates to cooperate to labor to work together? What negative influences to be caused to the organization, if it neglected to raise employee performance or neglects AI participation to any organizations' tasks ? I hope my readers can learn what the actual mean of organization performance is improved when AI can participate to organization's tasks as well as how and why organizatonal behavior can influence employee performance to be improved or worse to satisfy consumer purchase desire or bring positive emotion when AI participates to labor's tasks.

⦁Why does robot help organizations to shorten time to reach growth life cycle stage or maturity life cycle stage rapidly ?The robotic market is growing rapidly, but adoption of robots and truck products through the manufacturing life-cycle and uses robots to participate any organizational tasks efficiently and effectively. According to a new study from Oxford Economics, economists predict that robots could take over 20 million manufacturing jobs around the world by 2030, and within the next 11 years. These could be 14 million robots put to work in China alone. So, such as developing country, China, many China employers will accept robots to help their organizations to do different kinds of simple or complex tasks, also clerical or non-clerical workers, they can concentrate on dealing to do their urgent tasks, it means that efficiency will be possible raised in performance will be improved, productive number may be influenced to increase. Robots may help the experiencing birth life cycke stage organizations to shorten time to reach growth life cycle syahe or the experiencing the growth life cycle stage organizations to shorten time to reach mature life cycle stage in possible, because their clerical or non-clerical staffs need to learn how to dominate or control robots to work in order to achieve raising efficiency aim. When these organizations' every department has robots to participate to do simple or complex tasks. In long time., robots may help workers to shorten time to finish any tasks in any task processing or step. When working time is shorten to every task's step, then productivies and efficiencies willl be also raised. SO, such as this China developing country's future experiencing birth or growth life cycle stage organizations case, if there are many these birth or growth life cycle stage China's business organizations decided to apply robots to assist non-clerical and clerical workers to do simple or comples tasks. Then, their working steps or procesess time will be shorten . So, that efficiency or performance can be improved. Even if in developing country China's hospital organizations can apply surgical robots to assist surgeons or doctors to do any complex or simple surgeon health care will still likely become more automated . Because China has high population, so patients' medical need must be high, just as robots can transport and deliver goods in manufacturing and retail, they can also move medicine and equipment through hospitals when doctos and burses focus on other tasks. So, robots can help future any hospital organizations to improve service level to satisfy patients' needs in China's hospitals. Moreover, robots can improve developing countries, e.g. China, India patients' life. One of the most popular ways robots help doctors is by performing surgery or making operations easier. These machines make it in easier to see into a patient's body and repair problemshave been receptive to robots in the operating room and appreciate their precision countries, such as India, China their experiencing birth or growth life cycle stage organizations can continue to enhance technology like 3D embedded vision, multispectral, and hypesspectral imaging. This combined with artificial intelligence and deep learning wil empower industrial robots to improve themselves and keep pace with the human workers around them. A BCG analysis found the using advanced robots can reduce conversion costs by up to 15% and robot adoption will likely be a critical determinant of appreciable enable shorten. Robot adoption will likely be a critical determinant of appear to enable shorten production runs, smaller factories and the need for faster productivity growth. As robot production has increased, costs have gone down .

If ( AI) technology can be innovated to produce any kinds of machine man to serve any service or manufacturing industries successfully. Then, it will bring these questions: Can future that workers be influenced to be automation employment and productivity by (AI) technology influence? Does it impact to influence the (AI) technology countries' productivity and growth and natural resources development and labor markets and evolution of global financial markets and economic impact of technology and innovation and urbanization etc. issues? How will automation transform the workplace? What will be the implication for employment? What is likely to be its impact both on productivity in the global economy and on employment? In fact, automatic of activities can enable businesses to improve performance by reducing errors chance and improving quality and speed, and same cases achieving outcomes that go beyond human capabilities. Some economists indicate (AI) technology would give a needed boost to economic growth and prosperity have of the working age population in many countries. Based on the scenario modeling, they estimate automation could raise productivity growth globally by 0.8 to 1.4 % annually. They also indicated that almost half the activities people are almost $1.6 trillion in wages to do in the global economy have the potential to be automated adapting current demonstrates technology, according to their analysis of more than 2,000 work activities across 800 occupations. When less than 5% of all occupations can be automated entirely using demonstrated technology, about 60% of all occupations have at least 30% of worker made activities, that would be automated. More occupation will change to be automated. They also indicated for business performance benefits of automation are relatively clear, but the issues are more complicated by policy making to attract foreign investors. Beyond technical feasibility, the cost of technology, competition labor will include skills and supply and demand dynamics, performance benefits and beyond labor cost savings and social and regulatory acceptance will affect the automation. Their predictions suggest that half of today work activities could be automated by 2055 year, but this could happen 10 to 20 years earlier or latter depending on the various factors in addition to their wider economic condition.

Bachelor Thesis from the year 2019 in the subject Engineering - Industrial Engineering and Management, grade: 1,0, Vienna University of Technology, language: English, abstract: The research question of this thesis is: What relevant factors exist that enables humans and robots to collaborate most successfully to ensure optimal process-based workflows? Human-robot collaboration is a fairly new field of research, and for this reason, there has been barely shed light upon this topic up to today. Thus, the purpose of this work is to investigate and analyze which factors have an impact on the collaborative work of humans. Subsequently, based on this analysis of the relevant parameters, implications can be made for human-robot collaborations to ensure optimal work settings to facilitate effective teaming. The development of modern industrial robots is advancing year by year. Currently robots are more precise, faster and more powerful than ever before. However, despite these advancements, it is still unlikely that robots will reach the dexterity and intelligence of humans anytime soon. Therefore, at least for the foreseeable future, humans remain irreplaceable in many assembly operations. Still, this does not imply that humans and robots cannot benefit each other. On the contrary, combining the strengths of each individual creates new opportunities for collaboration and collaborative work. Robots exhibit high precision and repeatability, can handle heavy loads and operate without performance deterioration, even in difficult or dangerous environments. However, robot control systems quickly reach their limits in recognizing and handling unpredictable situations and uncertainties in their environment, which are normally no problem for humans. This is mainly due to the ability of humans to tackle unexpected obstacles, their awareness of a much larger part of the environment than formally declared and lastly humans show more dexterity in complex or sensitive tasks. Despite that humans are more prone to error, stress or fatigue, and their employment underlies strict health and safety regulations. Robots that interact with human beings are called collaborative robots or cobots for short. The goal of this very human-robot collaboration is not to replace the human but rather to create opportunities for humans and robots to work together towards a common aim by mutually increasing the efficiency and effectiveness of their team performance. This, for example, can be achieved by employing robots in sectors where manual labor is predominant.