scholarly journals “No Matter I’ll Be Selected; in the Next Challenge I Will Be Better!” – Understanding Non-Technical Skill Development in the Gig Economy

2022 ◽  
Author(s):  
Adeline Frenzel-Piasentin ◽  
Karoline Glaser ◽  
Jonas Toutaoui ◽  
Daniel J. Veit
Author(s):  
Jamie S. Switzer

Colleges and universities are adept at teaching students in the academic sense. Often what is lacking in a student’s education is a thorough grasp of the “real world”; how their chosen field actually functions and operates. One way for students to gain an understanding of a particular occupation is to interact with a mentor. Mentors can offer valuable intellectual resources to students (O’Neil & Gomez, 1996). Regardless of the quality of their education, students still need the practical information that can only be provided by a working professional who can present students an awareness of the real world (O’Neil, 2001). A mentor, however, is much, much more than a professional with unique expertise in a specific vocation. While mentors do provide career knowledge and the means for technical skill development, mentors can offer a myriad of services. They provide support, encouragement, and guidance. Mentors act as role models, teaching and nurturing students, demonstrating appropriate skills and behaviors. They are friends to students, providing them a means to network and find jobs.


2010 ◽  
Vol 163 (2) ◽  
pp. 186-191 ◽  
Author(s):  
Yvonne M. Carter ◽  
Brette M. Wilson ◽  
Erin Hall ◽  
M. Blair Marshall

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257767
Author(s):  
Eduardo Guimarães ◽  
Adam D. G. Baxter-Jones ◽  
A. Mark Williams ◽  
Fernando Tavares ◽  
Manuel A. Janeira ◽  
...  

Although technical skills are a prerequisite for success in basketball, little is known about how they develop over time. In this study, we model the trajectories of technical skill development in young basketball players and investigate the effects of training experience, training volume, body composition, maturity status, physical performance, and club characteristics on skill development. A total of 264 male basketballers from five age-cohorts (11 to 15 years of age) were followed consecutively over three years using a mixed-longitudinal design. Technical skills, training experience and volume, basic anthropometrics, body composition, biological maturation and physical performance were assessed bi-annually. A multilevel hierarchical linear model was used for trajectory analysis. Non-linear trends (p < 0.01) were observed in speed shot shooting, control dribble, defensive movement, slalom sprint, and slalom dribble. Being more experienced and physically fitter had a significant (p < 0.05) positive effect on technical skill development; greater fat-free mass negatively affected skills demanding quick running and rapid changes of direction with or without the ball (p < 0.05). Training volume and biological age did not explain differences in technical skill development (p > 0.05). Moreover, belonging to different clubs had no significant influence on the technical skills trajectories of players. Our findings highlight the important role that individual differences play, over and beyond club structure, in developing skills. Findings improve our understanding on how technical skills develop during adolescence through training, growth, and biological maturation.


Author(s):  
Eduardo Guimarães ◽  
Adam D. G. Baxter-Jones ◽  
A. Mark Williams ◽  
Fernando Tavares ◽  
Manuel A. Janeira ◽  
...  

This study investigated developmental stability, or tracking, in the development of technical skills in youth male basketball players and retrospectively profiled stable and unstable tracking patterns over time. A total of 97 basketball players were tracked bi-annually over 3 consecutive years. Players were divided into two age-categories according to their age at baseline: under-12; and under-14. Technical skills were assessed using the American Alliance for Health, Physical Education, Recreation and Dance test battery. Anthropometric, body composition, biological maturation and physical performance data were collected. Cohen’s kappa (κ) was used to estimate tracking. With the exception of defensive movement in the under-12 age-category, tracking was low in all skill tests for both under-12 (0.22 ≤ κ ≤ 0.33) and -14 (0.20 ≤ κ ≤ 0.26) groupings. The overall technical skill showed moderate tracking for under-12 players (κ = 0.47) and low tracking for under-14 players (κ = 0.26). At baseline, players who were consistently more skilled or became more skillful (in the under-12 age-category) over time had a better growth-motor performance profile and most of them were selected to be members of regional teams. In conclusion, tracking of individual skill trajectories was low-to-moderate. Moreover, a better growth-motor performance profile seems crucial to maintain high levels of skill performance over time. It is recommended that basketball coaches track the developmental trajectories of their players to better understand the erratic nature of skill development and help design more effective practice regimes.


2019 ◽  
Vol 46 (3) ◽  
pp. 399-407
Author(s):  
Amy Thomson ◽  
Karen M. Young ◽  
Simon Lygo-Baker ◽  
Chad Lothamer ◽  
Christopher J. Snyder

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason Jabbari ◽  
Stephen Roll ◽  
Sam Bufe ◽  
Yung Chun

PurposeIn this paper, the authors explore the relationship that slack resources and technology-mediated human capital investments can have on individuals’ entrepreneurial intentions. Focusing on human capital investments that individuals make through education and work, the authors analyze the relationship among formal online learning opportunities, informal skill development in the gig economy and entrepreneurial intentions.Design/methodology/approach Leveraging a novel dataset that merges administrative tax data with a survey of over 8,528 low- and moderate income (LMI) households, this study uses machine learning and propensity score weighting to examine the likelihood that individuals who make these technology-mediated human capital investments will have increased odds of entrepreneurial intentions when compared to similar individuals who do not make these investments.Findings The authors find that both partaking in online learning and working in the gig economy are significantly associated with increased odds of entrepreneurial intentions. Furthermore, through a variety of robustness and mechanism checks, the authors find that technology-mediation is an important factor in these relationships and that informal skill development and career preparation is one way in which gig employment influences entrepreneurial intentions.Research limitations/implications As the study’s data come from a cross-sectional survey, the authors cannot make causal inferences about the relationship between online learning, gig employment and entrepreneurial intentions. Thus, future research should explore sources of longitudinal data.Practical implications This study has practical implication for individuals and policymakers that seek to increase entrepreneurship among LMI households.Originality/value Despite a wealth of research on the relationships among slack resources, technology and innovation at the firm level, there is little of this research at the individual level – especially among LMI individuals. The authors begin to fill this important gap.


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