scholarly journals Older and Younger Workers' Conceptions of Work and Learning at Work: a challenge to emerging work practices

2003 ◽  
Vol 16 (4) ◽  
pp. 427-444 ◽  
Author(s):  
Hitendra Pillay ◽  
Gillian Boulton-Lewis ◽  
Lynn Wilss ◽  
Sean Rhodes
2020 ◽  
pp. 1-20
Author(s):  
Robyn Mason ◽  
David Brougham

Abstract In rapidly changing work environments, individuals need a willingness and ability to learn new skills and knowledge to contribute to their organization's goals and their own employability. As the baby-boomer generation begins to exit the workplace, organizations need to pay attention to developing the capability of younger, novice workers who will increasingly comprise the core workforce of the future. The present study, grounded in social cognitive theory, develops and examines a model of learning and development for younger workers. In total, 1,732 employees in New Zealand aged 16–24 years completed a survey relating to their perceptions, beliefs, and intentions regarding learning and development. The results from structural equation modeling show that individual and work-environment factors both influence younger workers' developmental intentions but affect this through different pathways. The study contributes to a better understanding of the development process for younger workers and offers implications for management based on these findings.


2021 ◽  
pp. 245-272
Author(s):  
Kaija Collin ◽  
Soila Lemmetty ◽  
Panu Forsman ◽  
Vlad Petre Glăveanu ◽  
Tommi Auvinen ◽  
...  

2005 ◽  
Author(s):  
John Taylor ◽  
Adrian Furnham
Keyword(s):  

Author(s):  
Rael Glen FUTERMAN

In innovative organisations we are seeing an increase in cross-functional teams being built around projects. The diverse perspectives of collaborators draw from personal world-views and organisational roles, which contributes to radical collaboration across traditional boundaries of work. This hands-on workshop aims at testing a rapid team alignment activity in which teams propose core values and align these to the innovation learning cycle, synthesising them into foundational work practices for each phase. These are then reframed as the teams' innovation narrative.


Author(s):  
Richard E. Ocejo

In today's new economy—in which “good” jobs are typically knowledge or technology based—many well-educated and culturally savvy young men are instead choosing to pursue traditionally low-status manual-labor occupations as careers. This book looks at the renaissance of four such trades: bartending, distilling, barbering, and butchering. The book takes readers into the lives and workplaces of these people to examine how they are transforming these once-undesirable jobs into “cool” and highly specialized upscale occupational niches—and in the process complicating our notions about upward and downward mobility through work. It shows how they find meaning in these jobs by enacting a set of “cultural repertoires,” which include technical skills based on a renewed sense of craft and craftsmanship and an ability to understand and communicate that knowledge to others, resulting in a new form of elite taste-making. The book describes the paths people take to these jobs, how they learn their chosen trades, how they imbue their work practices with craftsmanship, and how they teach a sense of taste to their consumers. The book provides new insights into the stratification of taste, gentrification, and the evolving labor market in today's postindustrial city.


2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Willem Gravett

The development of artificial intelligence has the potential to transform lives and work practices, raise efficiency, savings and safety levels, and provide enhanced levels of services. However, the current trend towards developing smart and autonomous machines with the capacity to be trained and make decisions independently holds not only economic advantages, but also a variety of concerns regarding their direct and indirect effects on society as a whole. This article examines some of these concerns, specifically in the areas of privacy and autonomy, state surveillance, and bias and algorithmic transparency. It concludes with an analysis of the challenges that the legal system faces in regulating the burgeoning field of artificial intelligence.


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