10 resultados para careers
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
A successful career in football is the result of the appropriate interaction between different aspects of an individual’s life, since the various areas and phases of one’s life depend on each other. An endogenous causal relationship exists throughout a person’s entire history (Mayer, 1990). In particular, their family, work and sports career must be tuned to each other. The transition from the initial stages of education (compulsory schooling) to vocational training, which coincides with the beginning of the selection for the national youth teams, is a particularly critical phase (Wylleman, Theeboom, & Lavallee, 2004). In order to do justice to the overall life situation of a young sports talent during this transition phase, we have adopted a holistic perspective and follow Bergman, Magnusson and El-Khouri (2003) in using a person-oriented and systemic approach. In doing so, our main focus lies on the person-environment system. This overall system is made up of various subsystems, consisting of several operating factors which interact with one another. The different levels to which these operating factors are expressed lead to observable patterns, which can be summarised in the form of types. Particularly promising types can therefore be identified and the developmental process can be described. Former players on the Swiss U16 to U21 national football teams, born between 1981 and 1987 (n=159), were interviewed concerning their careers, and the operating factors school/vocational training, family support and sports environment were examined. With the help of the LICUR method (Linking of Clusters after removal of Residue) (Bergman et al., 2003), developmental types were identified which were promising in terms of achieving top performance in adulthood. A range of developmental types and anti-types emerge for the transition from the under-15 phase to the over-16 phase. One particularly promising type is observed in the over-16 phase, for which the operating factors education, family support and participation in national U16 to U18 teams have slightly above-average scores, with scores that are well above average in the sports environment.
Resumo:
Being hopeful is critical for individuals who are engaged in vocational pursuits. However, the empirical research examining how and why hope is related to work and career outcomes remains sparse. We evaluate a model that proposes that dispositional hope affects job performance and turnover intentions through increased work motivation in terms of autonomous goals (reason to motivation), positive affective experience at work (energized to motivation), and occupational self-efficacy beliefs (can do motivation). The hypotheses were tested among 590 Swiss adolescents in vocational education and training using path analysis and multiple mediation analyses. The results revealed that hope was positively related to all three motivational states and supervisor-rated job performance and negatively related to turnover intentions. Positive affect mediated the effects of hope on turnover intentions and performance. Autonomous goals mediated the effects of hope on turnover intentions. These results support the importance of hope to employee well-being and organizational outcomes.
Resumo:
The present study analyzed (a) gender differences in the gender composition (i.e., the proportion of male to female contacts) of professional support networks inside and outside an individual’s academic department and (b) how these differences in gender composition relate to subjective career success (i.e., perceived career success and perceived external marketability). Results showed that the networks’ gender composition is associated with subjective career success. Men’s networks consist of a higher proportion of male to female supporters, which, in turn, was positively related to subjective career success. Additional analyses revealed that the findings could not be accounted for by alternative factors, such as network size, networking behaviors, and career ambition.