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Learning through automated processes: negative social influence among coworkers

Daniel L. Morrell (Management Department at Middle Tennessee State University, Murfreesboro, Tennessee, USA)
Timothy R. Moake (Management Department at Middle Tennessee State University, Murfreesboro, Tennessee, USA)
Michele N. Medina-Craven (Management and Information Systems Department at Mississippi State University, Starkville, Mississippi, USA)

Development and Learning in Organizations

ISSN: 1477-7282

Article publication date: 17 November 2021

Issue publication date: 29 August 2022

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Abstract

Purpose

This paper discusses how minor counterproductive workplace behavior (CWB) scripts can be acquired or learned through automated processes from one employee to another.

Design/methodology/approach

This research is based on insights from social information processing and automated processing.

Findings

This paper helps explain the automated learning of minor CWBs from one’s coworkers.

Practical implications

While some employees purposefully engage in counterproductive workplace behaviors with the intent to harm their organizations, other less overt and minor behaviors are not always carried out with harmful intent, but remain counterproductive, nonetheless. By understanding how the transfer of minor CWBs occurs, employers can strive to set policies and practices in place to help reduce these occurrences.

Originality/value

This paper discusses how negative workplace learning can occur. We hope to contribute to the workplace learning literature by highlighting how and why the spread of minor CWBs occurs amongst coworkers and spur future research focusing on appropriate interventions.

Keywords

Citation

Morrell, D.L., Moake, T.R. and Medina-Craven, M.N. (2022), "Learning through automated processes: negative social influence among coworkers", Development and Learning in Organizations, Vol. 36 No. 5, pp. 10-12. https://doi.org/10.1108/DLO-08-2021-0149

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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