Relevant bibliographies by topics / Job automation technology

Academic literature on the topic 'Job automation technology'

Author: Grafiati
Published: 19 August 2021
Last updated: 1 February 2022

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Job automation technology":

1

Bessen, James. "Automation and jobs: when technology boosts employment*." Economic Policy 34, no. 100 (October 1, 2019): 589–626. http://dx.doi.org/10.1093/epolic/eiaa001.

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SUMMARY Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today’s technologies may cause some industries to decline and others to grow. Automation might not cause mass unemployment, but it may well require workers to make disruptive transitions to new industries, requiring new skills and occupations.
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Speier, Cheri, and Viswanath Venkatesh. "The Hidden Minefields in the Adoption of Sales Force Automation Technologies." Journal of Marketing 66, no. 3 (July 2002): 98–111. http://dx.doi.org/10.1509/jmkg.66.3.98.18510.

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Sales force automation technologies are increasingly used to support customer relationship management strategies; however, commentary in the practitioner press suggests high failure rates. The authors use identity theory as a lens to better understand salesperson perceptions associated with technology rejection. They collected survey data from 454 salespeople across two firms that had implemented sales force automation tools. The results indicate that immediately after training, salespeople had positive perceptions of the technology. However, six months after implementation, the technology had been widely rejected, and salesperson absenteeism and voluntary turnover had significantly increased. There were also significant decreases in perceptions of organizational commitment, job satisfaction, person–organization fit, and person–job fit across both firms. Finally, salespeople with stronger professional commitment indicated more negative job-related perceptions as experience with the technology increased.
3

Hessel, Philipp, Solveig Christiansen, and Vegard Skirbekk. "Poor health as a potential risk factor for job loss due to automation: the case of Norway." Occupational and Environmental Medicine 75, no. 3 (October 13, 2017): 227–30. http://dx.doi.org/10.1136/oemed-2017-104349.

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ObjectiveThis study aimed to quantify the extent to which health characteristics of workers are related to the potential risk of experiencing job displacement due to automation.MethodsLinking the 2015 Norwegian Statistics on Income and Living Conditions survey (n=6393) with predicted probabilities of automation by occupation, we used Kruskal-Wallis tests and multivariate generalised linear models to assess the association between long-standing illnesses and risk of job automation.ResultsIndividuals with long-standing illnesses face substantially greater risks of losing their job due to automation. Whereas the average risk of job automation is 57% for men and 49% for women with long-standing illnesses, the risk is only 50% for men and 44% for women with limitations (p<0.001). Controlling for age, having a long-standing illness significantly increases the relative risk of facing job automation among men (risk ratio (RR) 1.13, 95% CI 1.09 to 1.19), as well as women (RR 1.11, 95% CI 1.05 to 1.17). While, among men, the association between long-standing illness and risk of job automation remains significant when controlling for education and income, it becomes insignificant among women.ConclusionsIndividuals with poor health are likely to carry the highest burden of technological change in terms of worsening employment prospects because of working in occupations disproportionally more likely to be automated. Although the extent of technology-related job displacement will depend on several factors, given the far-reaching negative consequences of job loss on health and well-being, this process represents a significant challenge for public health and social equity.
4

Burrell, Darrell Norman, Dawn Lee Diperi, and Rachel M. Weaver. "Creating Inclusive Cultures for Women in Automation and Information Technology Careers and Occupations." International Journal of Business Strategy and Automation 1, no. 2 (April 2020): 37–51. http://dx.doi.org/10.4018/ijbsa.2020040104.

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Automation will be central to the next phase of business technology transformation, driving new levels of customer value such as faster delivery of products, higher quality and dependability, deeper personalization, and greater convenience. This business transformation phase will require workers with new skills at all levels. There are significant shortages of women in leadership job roles in information technology and automation. There are also significant disparities with pay and opportunities for women in those fields. As a result, it is critical to understand the organizational cultural change strategies that information technology (IT) and automation companies can make to employ more females in information technology and automation positions and address gender pay issues and gender exclusivity issues currently existing in today's workplace. This article intends to influence the world of practice through the execution of a literature review content analysis.
5

Fernandez, Dahlia, and Aini Aman. "The Influence of Robotic Process Automation (RPA) towards Employee Acceptance." International Journal of Recent Technology and Engineering 9, no. 5 (January 30, 2021): 295–99. http://dx.doi.org/10.35940/ijrte.e5289.019521.

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There are various organizations that have automated the technology used in accounting and financial services to increase productivity and optimize operating costs. Among the automation technology transformations used in accounting and financial services is Robotic Process Automation (RPA). However, not all technological transformations are positive because they may cause fear among employees due to changes in the work process. Hence, the aim of this study is to understand the influence of RPA towards employee acceptance in the finance and accounting unit. This study uses an in-depth case study approach in one of the largest oil and gas company in the world. The result of the study showed that RPA technology has significant influences on employee acceptance. The results are discussed according to five elements which are threatening job opportunities, changes in the scope of work, adaptation to technology, career advancement, work-life balance, and job satisfaction. The results showed that employees must adapt with the changes due to the new technology implementation and embrace it positively because at the end of the day, new automation will always appear. Furthermore, the changes that take place must be openly accepted in order to maintain the reputation of their profession as well as the achievements of the organization.
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Zhang, Wenguang, Xiaoyu Guan, Xueqin Zhou, and Ji Lu. "The effect of career adaptability on career planning in reaction to automation technology." Career Development International 24, no. 6 (October 3, 2019): 545–59. http://dx.doi.org/10.1108/cdi-05-2018-0135.

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Purpose This study investigated employees’ career planning in preparation for the impact of manufacturing transformation triggered by automation technology. Built on career construction theory, the purpose of this paper is to conceptualize career planning as an attempt to integrate oneself into the social environment. In this process of integration, career adaptability is a critical psychological resource for adaptation to anticipated changes. Design/methodology/approach Through an online survey, 476 participants answered questions regarding the following aspects: perceptions of the threats and opportunities posed by automation technology; career adaptability, that is, career-related concern, control, curiosity, and confidence in adapting to occupational transitions; and career plans and actions to address the challenge, including short-term job crafting behaviors and long-term career adjustment plan. Findings The results showed that opportunity and threat perceptions were associated with one’s job crafting behavior and long-term career adjustment plan and such relationships were moderated by career adaptability and work experience relevant to automation technologies. Specifically, career adaptability is a psychological resource helping individuals deal with perceived challenges, while relevant work experience moderated one’s strategies to catch opportunities. Originality/value This study contributes to the understanding of psychosocial determinants for better career planning in the midst of the industrial revolution. Policies that aim to prepare workers for the upcoming social transition may benefit from this study to leverage adaptive and proactive behaviors at a societal level.
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KELLEY, MARYELLEN R. "Unionization and Job Design Under Programmable Automation." Industrial Relations 28, no. 2 (March 1989): 174–87. http://dx.doi.org/10.1111/j.1468-232x.1989.tb00864.x.

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Wang, Song Hao, Steven Melendez, Chyi Shyan Tsai, and Chi Wei Wu. "Parametric Design and Design Associability in 3D CAD." Materials Science Forum 594 (August 2008): 461–68. http://dx.doi.org/10.4028/www.scientific.net/msf.594.461.

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The purpose of this research is to make design automation possible by parametric design and design associability in 3D CAD. Applications of the technology in liquid food packaging machinery and its advantages are presented in the paper. For regular shapes such as circles or lines, parameters are used to link the dimensions of relative parts while for irregular shapes such as curves, associability is used to do the job in an assembly. Commercial 3D CAD software and Microsoft Excel software were used for the application. It is proved that same merit applies to designs of other machineries, on reducing design time and design mistake, enhancing consistency and easy documentation， therefore liberating designers from redundant day-to-day routine computer-paperwork to make more innovative contributions to their job. The impact of the design-automation technology on machine design is great.
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Alcover, Carlos-María, Dina Guglielmi, Marco Depolo, and Greta Mazzetti. "“Aging-and-Tech Job Vulnerability”: A proposed framework on the dual impact of aging and AI, robotics, and automation among older workers." Organizational Psychology Review 11, no. 2 (February 10, 2021): 175–201. http://dx.doi.org/10.1177/2041386621992105.

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As the aging population and workforce constitute a worldwide concern, it is becoming necessary to predict how the dual threat of aging and technology at work increases the job vulnerability of older workers and jeopardizes their employability and permanence in the labor market. The objective of this paper is twofold: (1) to analyze perceptions of artificial intelligence, robotics, and automation in work settings and the expected impact of these technologies on older workers to contextualize this emergent phenomenon; and (2) to propose a general model related to “Aging-and-Tech Job Vulnerability” to explain and predict the combined effect of aging and AI/robotics/automation on job insecurity and additional outcomes among older workers. The propositions of the Age-and-Tech Job Vulnerability model developed in this paper seek to present a first approach for the conceptual advance and research on this emerging phenomenon and entails several theoretical and practical implications for organizational psychology.
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Sima, Violeta, Ileana Georgiana Gheorghe, Jonel Subić, and Dumitru Nancu. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review." Sustainability 12, no. 10 (May 14, 2020): 4035. http://dx.doi.org/10.3390/su12104035.

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Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.
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Journal articles Books

Dissertations / Theses on the topic "Job automation technology":

1

Chilwane, Neo. "Ethical considerations for employees disrupted by job automation technology." Diss., University of Pretoria, 2021. http://hdl.handle.net/2263/81312.

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The role of job automation technology within the financial services sector has gained prominence recent years. Decision-makers are faced with questions from the external and internal environment relating to the future of work and career outlook of human capital. While the benefits of job automation are undoubtedly a key driver towards adopting this technology, ethical questions on responsible and ethical leadership have been put under a lens so as to understand what this means for employees within the financial sector. The study explores the ethical considerations made by decision-makers within the financial services sector in South Africa in relation to the employees disrupted by job automation adoption. The findings of this qualitative study were obtained through eighteen semi-structured interviews with decision-makers from the financial services sector and consulting firms with exposure to the financial services industry. The study found that the intent of job automation technology adoption goals coupled with the predominant mindset of decision makers was influenced the nature of considerations made decision makers. These consideration categories were largely aligned to the extant literature and the study contributed to the business ethics domain by sharing specific considerations made by decision makers in industry. Communication, transitions services, change management, shared value framing, empowerment through custodianship, an analysis of transferable skills and skills profiling were the main emergent findings found in the study.
Mini Dissertation (MBA)--University of Pretoria, 2021.
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
2

Osoria, Fernandez Angel Abraham. "Automation and Technological Change: Job Destruction and the Rise of Inequality -An analysis of the influences of ICT investments within unemployment and inequality in developed economies." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223746.

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Hoang, Bach. "Machines Are Taking Your Jobs, Not Vietnam: Regional Automation Vulnerability in the United States." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2136.

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This thesis investigates factors that explain for the variation in automation vulnerability of American metropolitan statistical areas. The rapid pace of technological innovation, exemplified by the pursuit of automated vehicles in recent years, is creating growing unease in their power to replace human employment. In certain respects, machines are much more productive and overall better workers than human beings. Decreasing cost in computer capital is also making automation investment more affordable than ever before. However, this is only part of the story. The study attempts to quantify and visualize the variation in regional technological exposure and determine whether industrial and socioeconomic characteristics can reveal an area’s vulnerability.

Books on the topic "Job automation technology":

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Stevenson, Janet H. The impact of office technology on job enrichment and career advancement of office personnel. [Halifax, N.S.]: Institute for Research on Public Policy, 1989.

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Kennedy, Joyce Lain. Electronic job search revolution: Win with the new technology that's reshaping today's job market. New York: J. Wiley, 1994.

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Kennedy, Joyce Lain. Electronic job search revolution: How to win with the new technology that's reshaping today's job market. 2nd ed. New York: J. Wiley, 1995.

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Tilden, Scott W. Harnessing desktop publishing: How to let the new technology help you do your job better. Pennington, NJ (4 W. Franklin Ave., Pennington 08534): S. Tilden Inc., 1987.

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S, Dent Harry. Job shock: Four new principles transforming our work and business. New York: St. Martin's Press, 1995.

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Chmiel, Nik. Jobs, technology and people. London: Routledge, 1998.

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Canadian Workplace Automation Research Centre. Organizational Research Directorate. The impact of office automation on organizations and jobs: State of the art. Laval, Quebec: Canadian Workplace Automation Research Centre, Organizational Research Directorate, 1988.

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Taylor, Alan. The impact of new technology on local employment: A study of progress and effect on jobs in the London borough of Hammersmith and Fulham. Aldershot, Hampshire: Gower, 1985.

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Dent, Harry S. The great jobs ahead: Your comprehensive guide to surviving and prospering in the coming work revolution. New York: Hyperion, 1995.

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Office, General Accounting. Export controls: Post-shipment verification provides limited assurance that dual-use items are being properly used : report to Senator Jon Kyl, U.S. Senate. Washington, D.C. (441 G St., NW, Room LM, Washington 20548): GAO, 2004.

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Book chapters on the topic "Job automation technology":

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Shady, Salama, Toshiya Kaihara, Nobutada Fujii, and Daisuke Kokuryo. "Automatic Design of Dispatching Rules with Genetic Programming for Dynamic Job Shop Scheduling." In IFIP Advances in Information and Communication Technology, 399–407. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57993-7_45.

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Vieri, Marco, Daniele Sarri, Stefania Lombardo, Marco Rimediotti, Riccardo Lisci, Valentina De Pascale, Eleonora Salvini, Carolina Perna, and Andrea Pagliai. "Agriculture historical steps towards Sustainable Precision Agriculture." In Manuali – Scienze Tecnologiche, 1. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.01.

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The term precision agriculture were introduced into scientific literature by Jhon Schueller in the 1991 Meeting of the American Society of Agricultural Engineers (ASAE) in Chicago: “the continuous advantages in automation hardware and software technology have made possible what is variously knows as spatially-variable, or site specific crop production”. The concept of sustainable development was introduced in 1987 in the Bruntland Report and the term “sustainable agriculture” was defined in the 5th European Environmental action programme: Towards sustainability. In Agenda 2000, 5 main objectives founded Common Agricultura Policies toward 2020: competitiveness; food safety and quality; farmers’ wellness and proper income; environmental respect; new jobs opportunities for farmers’ communities
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"Adaptive memetic algorithm for Flexible Job Shop Scheduling Problem." In Control, Mechatronics and Automation Technology, 225–28. CRC Press, 2015. http://dx.doi.org/10.1201/b19371-51.

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Baecker, Ronald M. "Automation, work, and jobs." In Computers and Society. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198827085.003.0017.

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The effect of automation on employment and jobs has engaged thoughtful computer scientists and economists since the earliest days of computing. Yet there have been concerns about the effects of technology on employment since ancient times, and notably during the First Industrial Revolution in the nineteenth century by a group of workers known as the ‘Luddites’. Our first topic is the role of algorithms in enabling more efficient processing of job applicants and the selection of candidates to interview. This now includes the automatic filtering out of huge numbers of résumés that are never seen by human resource professionals. Next, we look at how technology is used in monitoring job performance, with the goal of encouraging or requiring enhanced performance. Oftentimes, these practices have the opposite effect, as it makes workers feel like ‘Big Brother’ is watching. Companies have long used contractors to provide flexibility in the availability of workers as well as to circumvent costs such as medical benefits and liabilities such as severance pay. This practice has recently changed dramatically: internet communication can now rapidly link seekers of services to providers of the services. This is typically called the gig economy or sharing economy, yet a better name is on-demand services. We shall then examine areas where automation threatens to replace human workers with machines. Fear is rampant, as typified by a 2017 New York Times article, ‘Will Robots Take Our Children’s Jobs?’ Between 2014 and 2016, future prospects were analysed in five scholarly books. We examine the phenomenon of unemployment by looking at specific areas: agriculture, manufacturing, service industries, and the professions. We highlight how new robotic technology, incorporating sensing, reasoning, and manipulating abilities, is enabling significant automation. Of particular importance is the extent to which new machine learning systems are enabling the automation of thinking and reasoning, which were previously considered infeasible for machines. Arguably the most interesting, challenging, and risky application is that of automatic diagnosis of disease, and, more speculatively, robot doctors.
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Burrell, Darrell Norman, Dawn Lee Diperi, and Rachel M. Weaver. "Creating Inclusive Cultures for Women in Automation and Information Technology Careers and Occupations." In Research Anthology on Challenges for Women in Leadership Roles, 749–65. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8592-4.ch041.

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Automation will be central to the next phase of business technology transformation, driving new levels of customer value such as faster delivery of products, higher quality and dependability, deeper personalization, and greater convenience. This business transformation phase will require workers with new skills at all levels. There are significant shortages of women in leadership job roles in information technology and automation. There are also significant disparities with pay and opportunities for women in those fields. As a result, it is critical to understand the organizational cultural change strategies that information technology (IT) and automation companies can make to employ more females in information technology and automation positions and address gender pay issues and gender exclusivity issues currently existing in today's workplace. This article intends to influence the world of practice through the execution of a literature review content analysis.
6

G, Parthasarathy, Soumya T.R, Ramesh P, and L. Ramanathan. "Doctor on Net with Effective Medicine Dispatcher in Medical Analysis." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200120.

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Tracking the good doctors for treatment in rural area is a very difficult job, to requiring the rural folk to track all the way to nearby towns or cities. Therefore, Anytime Medical Machine (AMM) requires deployment in rural areas using the AMM with the ability of people to get good doctors on track and take the treatment through the AMM. The doctor provides medicines on prescription for the patients through AMM. This collects details relating to the patient’s Body Temperature, Heart Beat, Height and Weight using Pi Kit. The Patient desires to see a language known to both of them and sending the collected information to the doctor through AMM. Interaction between the doctor and the patient follows using video conferencing it attached with AMM. Finally, the Doctor observes the patient’s sickness and then suggests the appropriate medicine through AMM. The patient’s information is uploaded in the cloud server. Admin re-fills the medicines in AMM during the intake timing. This AMM application performance level of the data result proven that the efficiency of 90%. The significance of AMM plays a main role in automation of medicine dispatcher.
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Samuel Ogunleye, Olalekan, and Billy Mathias Kalema. "Evaluation of Algorithmic Management of Digital Work Platform in Developing Countries." In Automation and Control [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94524.

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The economy of the Modern Work Platform is becoming increasingly relevant due to the spread of information and communication technology. As a result, digital work has gained popularity as a source of employment, especially in an economy where finding decent work is becoming increasingly difficult. Computer algorithms are now being used to alter and change the way people operate in increasing job specialization, handling large-scale human labour in a distributed manner. In these structures, human works are delegated, supplemented, and analyzed using tracked data and algorithms. Building on emerging algorithmic literature and qualitative examination, this article assesses the mechanisms by which the digital network manages staff in the sense of Uber, Bolt (formerly Taxify). It describes the difference in the degree to which such platforms limit freedoms over schedules and activities relevant to gig work. Based on in-depth interviews with 41 respondents working on different digital media and a survey of 105 staff on the same platform, the study finds that while all digital work platforms use algorithm management to delegate and assess work, substantial cross-platform variation. Uber, the largest network for ride-sharing, exercises a type of control called “algorithmic despotism” that controls the time and activities of staff more strictly than other network distribution firms. We end with a debate on the implications for the future of work of the spectrum of algorithmic power. It also addresses how algorithmic management and data-driven systems can be developed to build an improved workplace with intelligent machines, with implications for future work.
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Salzman, Harold, and Stephen R. Rosenthal. "Keeping the Customer Satisfied: Field Service and the Art of Automation." In Software by Design. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195083408.003.0011.

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The “Maytag repairman” is the familiar image of field service. When servicing electronic equipment such as computers, however, the job is significantly more demanding than fixing washing machines. Not only are computers more complex than most other machines, they are also more central to the ongoing operations of an organization. Increasingly, everything an organization does depends upon electronic equipment in some way. Large computer systems are often expected to run 24 hours a day, 365 days a year. When computers are such an integral part of an organization’s operations, maintaining the equipment is tantamount to keeping a person’s heart beating and blood circulating. Thus, unlike the idle television caricature, field service engineers are increasingly viewed as the paramedics for electronics who can quickly and ably respond to system crashes. At the same time that field service has become more demanding, the complexity of the job has increased. The “machinery” of the modern organization is less often composed of gears turning, typewriters clattering, and paper being shuffled. Instead, the sights and sounds of the modern organization consist of screens glowing, keys clicking, and, to the uninitiated, an assemblage of opaque, “black boxes.” Inside these boxes is a miniature world that gives no clue as to the nature of its inner workings. The field service engineer’s (FE) job and function have been growing while the size of the technology itself has been shrinking. His or her skill is less often exercised as a skilled craftworker in the repair of a part and more often as a skilled analyst who can understand the abstract workings and nature of electronics to identify the problem and trace it to the malfunctioning component. The required manual skills are often minimal, just enough dexterity to swap out a bad part for a good one usually suffices. At the same time, the scope of field service has expanded from just repairing worn and broken or defective parts to collecting information about design defects and debugging equipment that may have been released prematurely.
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P., Sandhya, Aishwarya Madhav Mujumdar, and Abhijit Biswas. "Cognitive Computing and Its Applications." In Analyzing Future Applications of AI, Sensors, and Robotics in Society, 47–68. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3499-1.ch004.

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Cognitive computing is a combination of cognitive science and computer science. Cognitive science is study of the human brain and its functionality whereas computer science seems to have severe impacts in our personal lives, healthcare, etc. Use of massive unstructured data in past few years have led to invention of cognitive systems. Programmable computers focused on fast calculations of large amounts of data whereas cognitive systems are intended towards exploring data, finding new correlations, and context in data in order to come up with new solutions. The goal of cognitive computing is to increase boundaries of human perception instead of replacing the way human thinks. A new industrial revolution in the form of cognitive computing is responsible for job automation healthcare, transportation, home automation, and many more. This chapter includes a brief history of cognitive computing and also the eras of computing in order to understand the growth of cognitive computing in future and also the applications based on cognitive technology.
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Raman, Arumugam, and Mohan Rathakrishnan. "Blended Learning in Higher Education 4.0." In Redesigning Higher Education Initiatives for Industry 4.0, 70–84. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7832-1.ch005.

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Rapid technology advancement in the Fourth Industrial Revolution (FIR) has undoubtedly posed a great challenge to the education system in higher education institutes and changed every aspect of our lives including education. Higher education institutions across the world are amalgamating technology in modern learning and teaching approaches such as blended learning so that future teachers are equipped with the latest 21st century knowledge for further innovations and creations. This chapter covers definition, design, and implementation of blended learning in higher education. Further it also discusses blended learning models and assessment tools in recent education setting around the world. The education system worldwide has to transform for the imminent FIR as the job market will be largely prompted by the advancement of digital economy, robotics, artificial intelligence, and automation technology.

Conference papers on the topic "Job automation technology":

1

Lesnick, Jr., Ronald J., Stephen Kim, Matthias Waechter, Dirk Seidel, Andreas Mueller, and Dirk Beyer. "In-die job automation for PROVE." In Photomask and NGL Mask Technology XVIII, edited by Toshio Konishi. SPIE, 2011. http://dx.doi.org/10.1117/12.899779.

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Yang, Zhen, and Sanxing Cao. "Job Information Crawling, Visualization and Clustering of Job Search Websites." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997713.

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Liu, Mujie, Wei Yu, and Ming Xu. "Security Job Management System Based on RFID and IOT Technology." In 2020 6th International Conference on Control, Automation and Robotics (ICCAR). IEEE, 2020. http://dx.doi.org/10.1109/iccar49639.2020.9108042.

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Alfadhli, Hussain M. "Scheduling job seekers using genetic algorithms." In 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2017. http://dx.doi.org/10.1109/itnec.2017.8284898.

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Li, Qingsong, and Dan Qu. "Simulation and Optimization of Discrete Customized Job-Shop Scheduling." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.289.

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Yang, Xiao, Jianming Wang, Minglei Hou, and Xiaoliang Fan. "Job shop scheduling based on genetic algorithm using Matlab." In 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2015. http://dx.doi.org/10.1109/iaeac.2015.7428660.

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Jian, Zhang, Fang Jie, Parker T. Steven, Li Wenquan, and Ran Bin. "Fixed Job Scheduling Model for Single Depot Transit Vehicle Assignment." In 2011 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2011. http://dx.doi.org/10.1109/icicta.2011.208.

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Wu, Jinghua, and Mianzhou Chen. "Research of an Improved Genetic Algorithm for Job Shop Scheduling." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.737.

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Li, Feng, and Yang Yang. "Cooperation in a single-machine scheduling problem with job deterioration." In 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2016. http://dx.doi.org/10.1109/itnec.2016.7560323.

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Romadon, Annalisa Wahyu, Kemas M. Lhaksmana, Isman Kurniawan, and Donni Richasdy. "Analyzing TF-IDF and Word Embedding for Implementing Automation in Job Interview Grading." In 2020 8th International Conference on Information and Communication Technology (ICoICT). IEEE, 2020. http://dx.doi.org/10.1109/icoict49345.2020.9166364.

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Reports on the topic "Job automation technology":

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Bustelo, Monserrat, Pablo Egana-delSol, Laura Ripani, Nicolas Soler, and Mariana Viollaz. Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs? Inter-American Development Bank, August 2020. http://dx.doi.org/10.18235/0002566.

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Abstract:
New technological trends, such as digitization, artificial intelligence and robotics, have the power to drastically increase economic output but may also displace workers. In this paper we assess the risk of automation for female and male workers in four Latin American countries Bolivia, Chile, Colombia and El Salvador. Our study is the first to apply a task-based approach with a gender perspective in this region. Our main findings indicate that men are more likely than women to perform tasks linked to the skills of the future, such as STEM (science, technology, engineering and mathematics), information and communications technology, management and communication, and creative problem-solving tasks. Women thus have a higher average risk of automation, and 21% of women vs. 19% of men are at high risk (probability of automation greater than 70%). The differential impacts of the new technological trends for women and men must be assessed in order to guide the policy-making process to prepare workers for the future. Action should be taken to prevent digital transformation from worsening existing gender inequalities in the labor market.
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Webb, Philip, and Sarah Fletcher. Unsettled Issues on Human-Robot Collaboration and Automation in Aerospace Manufacturing. SAE International, November 2020. http://dx.doi.org/10.4271/epr2020024.

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Abstract:
This SAE EDGE™ Research Report builds a comprehensive picture of the current state-of-the-art of human-robot applications, identifying key issues to unlock the technology’s potential. It brings together views of recognized thought leaders to understand and deconstruct the myths and realities of human- robot collaboration, and how it could eventually have the impact envisaged by many. Current thinking suggests that the emerging technology of human-robot collaboration provides an ideal solution, combining the flexibility and skill of human operators with the precision, repeatability, and reliability of robots. Yet, the topic tends to generate intense reactions ranging from a “brave new future” for aircraft manufacturing and assembly, to workers living in fear of a robot invasion and lost jobs. It is widely acknowledged that the application of robotics and automation in aerospace manufacturing is significantly lower than might be expected. Reasons include product variability, size, design philosophy, and relatively low volumes. Also, the occasional reticence due to a history of past false starts plays a role too. Unsettled Issues on Human-Robot Collaboration and Automation in Aerospace Manufacturing goes deep into the core questions that really matter so the necessary step changes can move the industry forward.

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