IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i2p21582440231178260.html
   My bibliography  Save this article

The Mechanism Explaining the Effect of HEXACO Traits on Vietnamese University Graduates’ Networking Behavior for Finding Employment

Author

Listed:
  • Son-Tung Le

Abstract

This study examines the relationships between university graduates’ HEXACO traits and networking behavior for finding a job through job search network size. We integrate individual difference theory and social network theory to explain these links in two manners. We use individual difference theory to demonstrate that graduates with HEXACO personality traits have different job search network sizes, and we apply social network theory to test whether job search network size affect the networking intensity of graduates. The sample of 773 graduates was collected at two points with a 3 months-lagged time. Our results suggest that three HEXACO traits had an effect on job search network size. At the same time, job search network size play role in increasing networking behavior. Specifically, job search network size served as partial mediator in the relationships between HEXACO traits and networking behavior. The findings, theoretical, practical implications, and future research are discussed further.

Suggested Citation

  • Son-Tung Le, 2023. "The Mechanism Explaining the Effect of HEXACO Traits on Vietnamese University Graduates’ Networking Behavior for Finding Employment," SAGE Open, , vol. 13(2), pages 21582440231, May.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231178260
    DOI: 10.1177/21582440231178260
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231178260
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231178260?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Son-Tung Le, 2022. "Networking Behavior as a Mediation in University Graduates’ HEXACO Personality Effects on Job Search Outcomes," SAGE Open, , vol. 12(2), pages 21582440221, April.
    2. Laura K. Gee & Jason Jones & Moira Burke, 2017. "Social Networks and Labor Markets: How Strong Ties Relate to Job Finding on Facebook’s Social Network," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 485-518.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Theresa Kuchler & Monika Piazzesi & Johannes Stroebel, 2022. "Housing Market Expectations," CESifo Working Paper Series 9665, CESifo.
    2. Dickinson, David L. & Masclet, David & Peterle, Emmanuel, 2018. "Discrimination as favoritism: The private benefits and social costs of in-group favoritism in an experimental labor market," European Economic Review, Elsevier, vol. 104(C), pages 220-236.
    3. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    4. Fe, Hao, 2023. "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 1-14.
    5. Liwen Chen & Bobby Chung & Guanghua Wang, 2022. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2022-039, Human Capital and Economic Opportunity Working Group.
    6. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    7. Benjamin Lester & David A. Rivers & Giorgio Topa, 2021. "The Heterogeneous Impact of Referrals on Labor Market Outcomes," Staff Reports 987, Federal Reserve Bank of New York.
    8. Meta Brown & Elizabeth Setren & Giorgio Topa, 2016. "Do Informal Referrals Lead to Better Matches? Evidence from a Firm's Employee Referral System," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 161-209.
    9. Huang, Chung-Yuan & Chin, Wei-Chien-Benny & Fu, Yu-Hsiang & Tsai, Yu-Shiuan, 2019. "Beyond bond links in complex networks:Local bridges, global bridges and silk links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    10. Zhang, Xinmiao & Deguilhem, Thibaud, 2022. "Climbing the Social Ladder: Does Intergenerational Solidarity matter?," MPRA Paper 115241, University Library of Munich, Germany.
    11. Patacchini, Eleonora & Barwick, Panle Jia & Liu, Yanyan & Wu, Qi, 2019. "Information, Mobile Communication, and Referral Effects," CEPR Discussion Papers 13786, C.E.P.R. Discussion Papers.
    12. Liangfei Qiu & Asoo Vakharia & Arunima Chhikara, 2019. "Multi-Dimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Working Papers 19-01, NET Institute.
    13. Ben Ost & Weixiang Pan & Douglas A. Webber, 2023. "College Networks and Re-employment of Displaced Workers," Finance and Economics Discussion Series 2023-043, Board of Governors of the Federal Reserve System (U.S.).
    14. Eliason, Marcus & Hensvik, Lena & Kramarz, Francis & Skans, Oskar Nordström, 2023. "Social connections and the sorting of workers to firms," Journal of Econometrics, Elsevier, vol. 233(2), pages 468-506.
    15. Liwen Chen & Bobby W. Chung & Guanghua Wang, 2023. "Stay-at-Home Peer Mothers and Gender Norms: Short-run Effects on Educational Outcomes," Working Papers 2023-03, University of South Florida, Department of Economics.
    16. ONISHI Koichiro & OWAN Hideo, 2022. "Information Advantage or Bias Related to Social Ties: Evidence from a peer review system for national research grants," Discussion papers 22096, Research Institute of Economy, Trade and Industry (RIETI).
    17. Adriana Lleras-Muney & Matthew Miller & Shuyang Sheng & Veronica Sovero, 2022. "Party On: The Labor Market Returns to Social Networks in Adolescence," Papers 2210.09426, arXiv.org, revised Mar 2024.
    18. Xu, Dafeng, 2017. "Acculturational homophily," Economics of Education Review, Elsevier, vol. 59(C), pages 29-42.
    19. Diemer, Andreas, 2020. "Spatial diffusion of local economic shocks in social networks: evidence from the US fracking boom," LSE Research Online Documents on Economics 105868, London School of Economics and Political Science, LSE Library.
    20. María Paz Espinosa & Jaromír Kovárík & Sofía Ruíz-Palazuelos, 2021. "Are close-knit networks good for employment?," Working Papers 21.06, Universidad Pablo de Olavide, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231178260. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.