User:Diyana Ivaylo/sandbox

Artificial intelligence (AI) Artificial intelligence and robotics are two of the most prominent emerging management concepts that have caused a seismic shift in the business landscape. It is one of the most promising developments in the field of management, as it aids businesses in being more effective in meeting the needs of their customers and maximising the value they provide for their clients. Employees can further their careers by learning new skills and competences made possible by the organization's adoption of AI and automation technologies. These days, AI and automation technologies are being used in a wide variety of fields, and both their development and internal adoption rates have accelerated rapidly within companies (Bu et al., 2022). For example, in a manufacturing company where technological and mechanical aids are used to boost the production process, some workers may find themselves out of work as a direct result of artificial intelligence, while other workers, such as managers, may benefit from the technology's ability to cut down on manufacturing errors. Artificial intelligence is now integral to the majority of businesses' day-to-day operations and production procedures. Employees in any industry will benefit from knowing more about AI because it will help them in their day-to-day work, and because AI and automation will affect their future careers in a number of ways. Automation and artificial intelligence have been a boon to manufacturers and their workers, but they have also changed the nature of many jobs because previously human-made processes are now handled by machines (Mac Lennan et al., 2021). Working knowledge of artificial intelligence's capabilities, mechanisms, and operational procedures is essential for any employee serious about maximising productivity.

Distance job Remote work became easier to access during the covid-19 crisis, and it continues to grow in popularity. Ladders data scientists predict that the number of people working remotely in North America will climb by 25% by the end of 2022, with this trend having the chance to continue through 2023. After the pandemic hit, more people went to work than usual, and many companies took advantage of the situation to hire more people to work from home. One of the most significant societal shifts and emerging management trends since the conclusion of World War II is the rise of remote labour and its associated rising costs (Fuchs & Reichel, 2022). Work-from-home and remote opportunities have grown since the pandemic began, and they are only expected to rise. The highest growth in the use of remote employees compared to other periods of change occurred during the pandemic. By 2020, the prevalence of remote workers had an effect on the company as a whole, as well as on the workers directly involved in manufacturing. Because human intervention is required to control equipment and keep technology running during the manufacturing process. The emergence of remote workers has posed a greater threat to factory workers, while providing management with the opportunity to work remotely (Dokko & Chudzikowski, 2020). They are able to take advantage of the remote work session to focus on skill and knowledge development, and as a result, they feel more inspired and motivated. The effects of the new management style on workers are mixed. Employees benefit from being able to work from home, but those in the manufacturing sector face increased unemployment as a result. Bu, Y., Quach, S. and Thaichon, P. (2022) “Artificial Intelligence (ai)-empowered Customer Relationship Management,” Artificial Intelligence for Marketing Management, pp. 142–159. Available at: https://doi.org/10.4324/9781003280392-11 Dokko, G. and Chudzikowski, K. (2020) “Career transitions and job mobility,” Management [Preprint]. Available at: https://doi.org/10.1093/obo/9780199846740-0189 Fuchs, C. and Reichel, A. (2022) “How job design shapes effective communication for relational coordination in remote work.,” Academy of Management Proceedings, 2022(1). Available at: https://doi.org/10.5465/ambpp.2022.14247abstract Mac Lennan, M.L., Tiago, E.F. and Pereira, C.E. (2021) “Technological and non-technological trends in Fashion Eco-innovations,” Innovation & Management Review [Preprint]. Available at: https://doi.org/10.1108/inmr-12-2020-0177