34
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Effects of E-Mentoring on Japanese clerical employees’ vocational identity during teleworking

ORCID Icon
Pages 299-315 | Received 20 Jul 2022, Accepted 23 Feb 2024, Published online: 10 Mar 2024
 

ABSTRACT

This study examined the effect of e-mentoring on vocational identity during teleworking; it clarified the relationship between teleworkers’ vocational identity and e-mentoring compared with that of non-teleworkers according to career stage. An online survey was conducted and measured vocational identity and mentoring function (career function and psychosocial function). Collected data from 419 clerical workers (211 teleworkers, 208 non-teleworkers) who had a mentor or a protégé were analyzed. The results of multiple-group structural equation model suggested that in the early career stage, it was especially important for teleworkers to receive psychosocial functions from mentors as protégés. At the late career stage, it was necessary for teleworkers to provide psychosocial functions to protégés as mentors; at that stage, it was important for non-teleworkers to offer career functions. The results also suggested that toward developing vocational identity, the mentoring relationship was more important for teleworkers, who easily become isolated, than for non-teleworkers.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 464.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.