Book Review Impression Management in the Workplace: Research, Theory and Practice

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

A good comprehensive book is a rare find. If you are searching endlessly for a book that has it all, this is the one that presents every bit about impression management that one must know to get by in today’s world of advanced technology where everything is at our finger tips. The content covers from the most basic, that is, the meaning and nature of impression management (Chapter One), to the most complex yet a significant area that deals with the functional and dysfunctional consequences of impression management (Chapter Eleven).

Related collections

Author and article information

Contributors

Andrew J. Dubrin: United States

Journal

Title: Malaysian Management Journal

Publisher: UUM Press

Publication date (Electronic): March 01 2020

Volume: 14

Pages: 101-103

Affiliations

[1 ]Routledge, New York

Article

DOI: 10.32890/mmj.14.2010.8969

SO-VID: 226672c7-08bd-497d-9b7e-9bba0f193bed

License:

All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.

History

ScienceOpen disciplines: Economic development,Management,International economics & Trade,Industrial organization,Business & Corporate economics

Data availability:

ScienceOpen disciplines: Economic development, Management, International economics & Trade, Industrial organization, Business & Corporate economics

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.