scholarly journals The Future of Work: What is the Impact on Engineering Technicians?

2020 ◽  
Author(s):  
Marilyn Barger ◽  
Richard Gilbert
Keyword(s):  
2021 ◽  
pp. 119-141
Author(s):  
Sergio Torrejón Pérez ◽  
Ignacio González Vázquez

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Colleen Carraher-Wolverton

Purpose As researchers are being called to examine the evolving technology research issues for COVID-19 and other pandemics, remote work has been accelerated and represents the future of work. Although it is known that one of the top forces shaping the future of work is changing employee expectations, the knowledge of remote work during a pandemic remains scant. Thus, this paper aims to determine the impact of remote worker’s expectations on their level of satisfaction and intention to continue to work remotely. Design/methodology/approach Using one of the prominent theories on expectations, Expectation Disconfirmation Theory (EDT), the authors conduct an online survey of 146 individuals who are currently working remotely. Findings By applying EDT, the findings demonstrate that an individual’s expectations regarding remote work impact their level of satisfaction with remote work and intention to continue to work remotely. Incorporating extant research, the findings extend the research stream to indicate that employees’ expectations about remote work significantly impact both their level of satisfaction and level of productivity. Originality/value The discussion elucidates the significance of understanding employee expectations regarding remote work in the evolving new normal. The findings from the study demonstrate the importance of an individual’s expectations regarding remote work on their level of satisfaction with remote work and intention to continue to work remotely. Thus, this study fills a gap in the literature by applying EDT to the remote work context.


2013 ◽  
Vol 24 (1) ◽  
Author(s):  
Jane Cruikshank

This article explores the impact of economic globalization on the future of work. It argues against the view of training as a panacea for solving our economic problems and suggests a role for adult educators to take in proposing and supporting alternate solutions.


2021 ◽  
Author(s):  
Ryan A. Cecchini

Big name organizations have proposed that AI will fundamentally transform the future of business by altering the skills that will be required to stay competitive in an epoch where routine- jobs are automated and where workers in less-routine jobs are displaced from burgeoning advancements in AI. When it comes to assessing the impact of hazardous technologies, a growing body of literature suggests that experts and everyday people tend to perceive risks differently. Social media is a tool that allows individuals to engage with one another, and more recently, social media has become an influential means of consuming and disseminating news online. Reddit is a form of social media that combines both news consumption and social engagement. This major research project (MRP) examines online discourses from end-users on Reddit, from articles written by journalists, and from experts quoted in the media. Inductive content analysis reveals that topics of conversation about AI and the future of work centre around inequality and the economy. Apparent differences are observed between end-users, journalists, and experts, such as the high prevalence of dread on Reddit, which may suggest that most individuals, as opposed to those in the news media, think negatively about AI being introduced into the workplace—for reasons that revolve around the economy, inequality, or both.


2020 ◽  
Author(s):  
Arif Jetha ◽  
Ali Shamaee ◽  
Silvia Bonaccio ◽  
Monique AM. Gignac ◽  
Lori Tucker ◽  
...  

Abstract Background. The future of work is characterized by social, technological, economic, environmental and political changes that are expected to disrupt all aspects of the working world. Our study aims to understand how the future of work impacts vulnerable workers. Methods. We conducted a horizon scan to systematically identify and synthesize diverse sources of evidence including academic research, gray literature and social media. Search terms were generated by members of the multidisciplinary research team, and combined with work outcome, future- and change-related and vulnerable worker search terms. Six search portals were used to uncover peer reviewed and gray literature across diverse disciplines. Search terms were also entered into Twitter’s standard search interface to identify social media resources. Literature was screened for eligibility (i.e., English language, documented a change in the nature of work, industrialized context and description of impact to vulnerable workers). Each relevant article was synthesized, and trend categories were developed by through iterative discussions among the research team. Results. An initial search yielded 4,800 articles after removing duplicates. Following a title and abstract relevancy screen, 3,195 articles were excluded. A total of 342 articles were fully reviewed. A synthesis of articles found nine trend categories which included digital transformation of the economy, artificial intelligence (AI)/machine learning (ML)-enhanced automation, AI-enabled human resource management systems, skill requirements for the future of work; globalization 2.0, climate change and the green economy, Gen Zs and the work environment; populism and the future of work, and external shocks to accelerate the changing nature of work (The COVID-19 example). Some workers may be more likely to experience vulnerability in the future of work including greater exposure to job displacement or wage depression. However, some potentially positive future of work trends also existed and could be beneficial for the labor market engagement of certain groups. Discussion. The changing nature of work can be fragmented for different groups of workers. Our research offers an important step towards understanding and supporting the involvement of vulnerable workers in the future of work.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anita Hammer ◽  
Suparna Karmakar

PurposeThis research contributes to current debates on automation and the future of work, a much-hyped but under researched area, in emerging economies through a particular focus on India. It assesses the national strategy on artificial intelligence and explores the impact of automation on the Indian labour market, work and employment to inform policy.Design/methodology/approachThe article critically assesses the National Strategy on AI, promulgated by NITI Aayog (a national policy think tank), supported by the government of India and top industry associations, through a sectoral analysis. The key dimensions of the national strategy are examined against scholarship on the political economy of work in India to better understand the possible impact of automation on work.FindingsThe study shows that technology is not free from the wider dynamics that surround the world of work. The adoption of new technologies is likely to occur in niches in the manufacturing and services sectors, while its impact on employment and the labour market more broadly, and in addressing societal inequalities will be limited. The national strategy, however, does not take into account the nature of capital accumulation and structural inequalities that stem from a large informal economy and surplus labour context with limited upskilling opportunities. This raises doubts about the effectiveness of the current policy.Research limitations/implicationsThe critical assessment of new technologies and work has two implications: first, it underscores the need for situated analyses of social and material relations of work in formulating and assessing strategies and policies; second, it highlights the necessity of qualitative workplace studies that examine the relationship between technology and the future of work.Practical implicationsThe article assesses an influential state policy in a key aspect of future of work–automation.Social implicationsThe policy assessed in this study would have significant social and economic outcomes for labour, work and employment in India. The study highlights the limitations of the state policy in addressing key labour market dimensions and work and employment relations in its formulation and implementation.Originality/valueThis study is the first to examine the impact of automation on work and employment in India. It provides a critical intervention in current debates on future of work from the point of view of an important emerging economy defined by labour surplus and a large informal economy.


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