Can (AI) be applied to any organization customer service department?Artificial intelligence(AI) comprises a set of technologies that use natural language processing, machine learning, knowledge graphs, and other tools to answer questions, discover insights and provide recommendations. Computer systems can use (AI) hypothesize and formulate possible answers based on available evidence can be trained through the ingestion of vast amounts of content, and automatically adapt and learn from (AI) self mistakes and failures. So, any business organizations (customer service departments) can provide efficient and effective customer relationship management of excellent customer service quality if which applied (AI) technology system. The different type of (AI) systems include: (AI) system platforms, machine learning (AI) based data preparation and enrichment tools, machine vision/image recognition, voice speech recognition, text analysis and natural language processing, bots, e.g. face book website and virtual digital assistance solutions, social media pattern analysis, sentiment analysis, advanced numerical analysis (e.g. IOT streaming, machine logs), supporting technologies, knowledge base dialog management, Q&A processing etc. different (AI) technology system customer relationship management (CRM) tools.(AI) (CRM) of activity can include these categories, such as: corporate marketing, marketing operation, field marketing, customer support, digital commerce, customer analytics, customer influenced product or service design, product or service pricing, finance information, presentation, customer billing, inventory, logistics and fulfilment support, partner management etc. different CRM tools. (AI) technology of CRM has been carrying on plan different stages to achieve CRM personal assistant tool for businesses. The stages are such as, in the beginning stage of (AI) projects in place, implement now, pilot phase next year in the final stage of (AI) customer relationship management tools are foreseeable future. So, this CRM technology has been improved to plan in different stages every year to prepare to achieve full capacity of CRM service quality for businesses to use in the future.Hence, how to develop an estimate prediction of the economic impact (AI) technologies could have CRM activities, which depends on gathering macroeconomic information on business revenue and the basic marketing of business revenue and the basic markup of business expenses by major functions ( customer support, marketing and sales, production etc.)An economic impact model that can gather data together and forecast the results how (AI) artificial intelligence technology brings (CRM) customer relationship management benefits to businesses, e.g. surveys investigation includes IT spending by sample countries, GDP and population estimates and forecasts, revenue per employee and ratios of IT spend to GDP. Surveys ( questionnaire questions) of forecast results are influenced by (AI) impact can include: results are projected from surveys and rely on estimates are made by respondents on the expected financial improvements in categories of (AI) -assisted customer relationship management activities. The forecast assumes that these estimates are correct; financial estimates are based on estimates of "first year" improvement from full (AI) implementation; forecasts are from planning to implement any artificial intelligence of customer relationship management (CRM) projects, the improvement forecast is of categories of activity, e.g. corporate marketing, digital Al commerce, and customer analytics. They are not estimates of ROI for the (AI) software. They rely on conservative estimates to which each of these entities might affect company revenue, expenses or productivity. They also rely on estimates of the penetration of software in customer relationship management activities .

How (AI) influences employment environment change?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.

As the technology has developed, organizations have started to adopt artificial intelligence (AI) to communicate with their publics. Previous studies on organizational-public relationships had an assumption that all communications by an organization were created by humans. However, with the changes in the technology, public relations scholars and professionals have started to pay more attention to the potential of AI agents for online communication in terms of organization-public relationship. This dissertation explored the role of agent type and other communication attributes (i.e., human voice and immediacy of solution) in online organization communication. To achieve the purposes of the study, two experiment studies were conducted. Study 1 analyzed the effects of agent type and voice type on organization-public relationship outcomes and publics' social media engagement intention in a social media setting with a 2 (type of agent: human agent vs. AI agent) x 2 (tone of voice: conversational human voice vs. organizational voice) between-subjects design experiment. A total of 363 participants were recruited for Study 1. Study 2 explored the impact of agent type and immediacy of solution to a question in an online live chat setting with a 2 (type of agent: human agent vs. AI agent) x 2 (immediacy of solution: immediate solution vs. delayed solution) between-subjects design experiment with 371 participants. The results showed that organizational messages communicated by a human agent generated significantly higher perceived control mutuality among participants in the social media setting than messages communicated by an AI agent. The use of conversational human voice resulted in significantly stronger relational outcomes (i.e., trust, satisfaction, commitment, and control mutuality). In the online chat setting, there were no significant differences between human and AI agents on relational outcomes or social media engagement intention among publics; however, immediacy of solution created higher levels of perceived trust, satisfaction, control mutuality, and social media engagement intention. The mediating role of relational outcomes and interaction effects of the variables in each setting are discussed. By addressing the roles of agent type and communication attributes, this dissertation advances the literature on public relations and human-computer communication.

Toward a Structural Theory of Action: Network Models of Social Structure, Perception, and Action centers on the concept of social structure, perceptions, and actions, as well as the strategies through which these concepts guide empirical research. This book also proposes a model of status/role-sets as patterns of relationships defining positions in the social topology. This text consists of nine chapters separated into three parts. Chapter 1 introduces the goals and organization of the book. Chapters 2-4 provide analytical synopsis of available network models of social differentiation, and then use these models in describing actual stratification. Chapter 5 presents a model in which actor interests are captured. Subsequent chapter assesses the empirical adequacy of the two predictions described in this book. Then, other chapters provide a network model of constraint and its empirical adequacy. This book will be valuable to anthropologists, economists, political scientists, and psychologists.

What is the relationship between (AI) and (CRM)?⦁ Can (AI) technology impact on customer relationship management (CRM) ?Nowadays, (AI) is a technology almost as old as the computer industry itself, it is similar with the advent of personal assistants function to businesses and personal promotion channel, such as ( Amazon's Alexa, Apple's Siri, Google's Assistant) image recognition ( face book), personalized recommendations ( Netflix, Amazon). Those innovations have been driven by a increase in processing power, lower cost hardware, and the exploding creation and availability of data. It seems, (AI) technology can impact global customer service management method.How to forecast economic impact modeling to (AI) will affect global economy? Can human forecast business revenue growth and job creation ( or destruction) based on (AI) applied to customer relationship management (CRM) activities? In addition to the economic impact on (AI) or (CRM) which can include an estimate of the economic impact attributable to sales forces customer base. What can economic benefits be brought to (CRM) from (AI) technology?Artificial intelligence(AI) comprises a set of technologies that use natural language processing, machine learning, knowledge graphs, and other tools to answer questions, discover insights and provide recommendations. Computer systems can use (AI) hypothesize and formulate possible answers based on available evidence can be trained through the ingestion of vast amounts of content, and automatically adapt and learn from (AI) self mistakes and failures. So, any business organizations (customer service departments) can provide efficient and effective customer relationship management of excellent customer service quality if which applied (AI) technology system. The different type of (AI) systems include: (AI) system platforms, machine learning (AI) based data preparation and enrichment tools, machine vision/image recognition, voice speech recognition, text analysis and natural language processing, bots, e.g. face book website and virtual digital assistance solutions, social media pattern analysis, sentiment analysis, advanced numerical analysis (e.g. IOT streaming, machine logs), supporting technologies, knowledge base dialog management, Q&A processing etc. different (AI) technology system customer relationship management (CRM) tools.(AI) (CRM) of activity can include these categories, such as: corporate marketing, marketing operation, field marketing, customer support, digital commerce, customer analytics, customer influenced product or service design, product or service pricing, finance information, presentation, customer billing, inventory, logistics and fulfilment support, partner management etc. different CRM tools. (AI) technology of CRM has been carrying on plan different stages to achieve CRM personal assistant tool for businesses. The stages are such as, in the beginning stage of (AI) projects in place, implement now, pilot phase next year in the final stage of (AI) customer relationship management tools are foreseeable future. So, this CRM technology has been improved to plan in different stages every year to prepare to achieve full capacity of CRM service quality for businesses to use in the future.Hence, how to develop an estimate prediction of the economic impact (AI) technologies could have CRM activities, which depends on gathering macroeconomic information on business revenue and the basic marketing of business revenue and the basic markup of business expenses by major functions ( customer support, marketing and sales, production etc.)

Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Honolulu, Hawaii, USA 4-6, December 2023

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.