• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Crossref
    • Article Processing Charge (APC): 500 USD
    • E-mail: joebm.editor@gmail.com
JOEBM 2017 Vol.5(2): 116-120
doi: 10.18178/joebm.2017.5.2.497

Information Flow Model in Recruitment and Interview Based on Johari Window Theory

Congying Wang , Bing Xue , Deliang Zhao

  • China Ship Development and Design Center, China.

Abstract

This paper focus on the information flow in recruitment and interview between enterprise and candidates, divide the information flow into: public area, hiding area, blind area, fog area, and closed area five regions, analyzed the process and methods of expose blind area, explore hidden areas, open closed areas, reducing fog area, so that more and more information into the public area. If the communication is smooth, the information will flows into the open area, finally realize the person-job fit. On the contrary, the information flow into the fog area, it will be easy to produce misunderstanding. In recruitment, the hardest part when finding the right people is not to pick a good resume, or ability test, or the hard work of doing recruitment propaganda everywhere, but how to judge a person's value. This process needs to constantly believe, constantly doubt, constantly disillusionment, constantly reconstruction, finally strike a balance.

Keywords

  • Public area
  • hiding area
  • blind area
  • fog area
  • closed area
  • person-job fit
497-MA1002

How to Cite

Copied

Congying Wang, Bing Xue, and Deliang Zhao, "Information Flow Model in Recruitment and Interview Based on Johari Window Theory," Journal of Economics, Business and Management, vol. 5, no. 2, pp. 116-120, 2017. https://doi.org/10.18178/joebm.2017.5.2.497

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Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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