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Biological implicit measures in HRM and OB: A question of how not if


Becker, William J; Menges, Jochen (2013). Biological implicit measures in HRM and OB: A question of how not if. Human Resource Management Review, 23(3):219-228.

Abstract

Scholars in the disciplines of human resource management (HRM) and organizational behavior(OB) have primarily focused on explicit processes and measures in their research, but much of human feeling and behavior is triggered through implicit processing outside of conscious awareness.In this article, we discuss how explicit and implicit processes interact to shape work emotions,attitudes, and behaviors, and we suggest that scholars should incorporate biological measures forassessing implicit as well as explicit processes into their researchdesigns. We provide guidance forsuch endeavors by describing how several biological implicit measures can be used in HRM and OBresearch. These measures include cortisol measurement, skin conductance, event related potential(ERP), and functional magnetic resonance imaging (fMRI).

Abstract

Scholars in the disciplines of human resource management (HRM) and organizational behavior(OB) have primarily focused on explicit processes and measures in their research, but much of human feeling and behavior is triggered through implicit processing outside of conscious awareness.In this article, we discuss how explicit and implicit processes interact to shape work emotions,attitudes, and behaviors, and we suggest that scholars should incorporate biological measures forassessing implicit as well as explicit processes into their researchdesigns. We provide guidance forsuch endeavors by describing how several biological implicit measures can be used in HRM and OBresearch. These measures include cortisol measurement, skin conductance, event related potential(ERP), and functional magnetic resonance imaging (fMRI).

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Business Administration
Dewey Decimal Classification:330 Economics
Language:English
Date:2013
Deposited On:16 Aug 2019 14:15
Last Modified:25 Sep 2019 00:40
Publisher:Elsevier
ISSN:1053-4822
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.hrmr.2012.12.003
Other Identification Number:merlin-id:17520

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