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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Journal of Career Development Vol. 47, No. 4 ( 2020-08), p. 469-483
    In: Journal of Career Development, SAGE Publications, Vol. 47, No. 4 ( 2020-08), p. 469-483
    Abstract: This study investigated categorization of perfectionism subtypes for Chinese undergraduates and the effects of perfectionism subtypes on career outcomes based on two prominent, competing models of perfectionism, the tripartite model and 2 × 2 model. Indices of career outcome were defined with career adaptability (positive) and career decision-making difficulties (negative). The results of both cluster analysis and latent profile analysis coincided with the four-subtype structure of the 2 × 2 model. The result of Bolck–Croon–Hagenaars modeling indicated that the pure high standard subtypes were the most functional while pure discrepancy subtypes were most dysfunctional. Mixed perfectionism subtypes were identified as having high career adaptability but also high risk for career decision-making while nonperfectionism subtypes possess low career decision-making difficulties but also low career adaptability. Based on these findings for perfectionism subtypes, we extrapolate practical recommendations for how this information could be pertinent to career counseling.
    Type of Medium: Online Resource
    ISSN: 0894-8453 , 1556-0856
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2016740-4
    SSG: 3,2
    SSG: 5,2
    SSG: 5,3
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  SAGE Open Vol. 12, No. 2 ( 2022-04), p. 215824402210866-
    In: SAGE Open, SAGE Publications, Vol. 12, No. 2 ( 2022-04), p. 215824402210866-
    Abstract: This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316 Chinese college students based on the convenient sampling technique. The research outcomes indicate that the perceived ease of use is a significant predictor of the intention to use and perceived usefulness of an e-learning system. To our surprise, perceived usefulness does not determine the intention to use an e-learning system. Computer self-efficacy and technical support respectively were significant determinants of the perceived usefulness and the perceived ease of use of an e-learning system. Interestingly, the study showed that internet experience does not influence students’ sensitivity to the usefulness and ease of use associated with an e-learning system. The theoretical and managerial implications of these results findings are thoroughly interrogated.
    Type of Medium: Online Resource
    ISSN: 2158-2440 , 2158-2440
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2628279-3
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