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ISSN 2332-399X • e-ISSN 2377-0716
An international peer-reviewed academic journal
Psychosociological Issues in Human Resource Management
is published twice a year (May and November).
Acceptance Rate (2018): 23%
sample paper WorldCat

Psychosociological Issues in Human Resource Management publishes mainly original empirical research and review articles focusing on hot emerging topics, e.g. the algorithmic management of labor, workplace automation, employee microchip implants, workplace wearable devices, the artificial intelligence recruitment process, predictive hiring algorithms, the commodification of digital labor in the gig economy, non-standard work arrangements in digital labor markets, digital services mediated by online labor platforms, etc. This journal considers only manuscripts having a high integrative value in the current Scopus- and Web of Science-indexed literature.

Editors: Hershey H. Friedman (City University of New York)
             Linda W. Friedman (City University of New York)
Editor-in-Chief: Elvira Nica (Bucharest University of Economic Studies). Online submissions to: This email address is being protected from spambots. You need JavaScript enabled to view it.This email address is being protected from spambots. You need JavaScript enabled to view it.

Peer review policy  Publication ethics and malpractice   statement Long-term archiving policy

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English Editing and Academic Peer Review  Rental Service for Scientific Research       Independent Peer Review System

Instructions for authors subscriptions

Psychosociological Issues in Human Resource Management is indexed and/or abstracted in:

● CEEOL
● Cengage Learning/Gale
● CNKI Scholar
● Crossref
● DeepDyve
● Dimensions/Digital Science
● EBSCO
● ERIH PLUS
● Hinari
● ProQuest
● SHERPA/RoMEO
● Ulrich's Periodicals Directory

 

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