重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

A Meta-Analysis of Interpersonal and Organizational Workplace Deviance Research

规则网络 偏差(统计) 心理学 人际交往 概化理论 社会心理学 实证研究 统计 结构方程建模 数学 发展心理学
作者
Jeremy D. Mackey,Charn P. McAllister,B. Parker Ellen,Jack Carson
出处
期刊:Journal of Management [SAGE]
卷期号:47 (3): 597-622 被引量:147
标识
DOI:10.1177/0149206319862612
摘要

Workplace deviance research has expanded rapidly over the past decade. Despite the expansive body of research available, we have an incomplete understanding of the measurement, magnitude, and direction of relationships within workplace deviance’s nomological network. We draw from 235 empirical samples of data (k = 235, N = 66,990) to conduct random-effects meta-analyses of interpersonal (k = 156, N = 42,239) and organizational (k = 206, N = 60,008) workplace deviance research so we can build the solid foundation necessary to advance the conversation in this literature. We use an exploratory meta-analytic approach and the horizontal contrasting method of theory elaboration to provide a nuanced understanding of the relationship between interpersonal and organizational deviance (ρ = .67, k = 110, N = 30,426) as well as determine the magnitude and generalizability (i.e., external validity) of relationships within their nomological networks. We find some evidence of differences (i.e., heterogeneity) in the measurement and magnitude of relationships across contexts. Overall, we conduct a state-of-the-art meta-analysis that leverages contemporary meta-analytic techniques and the extensive body of empirical workplace deviance research available to improve our understanding of the measurement of workplace deviance and relationships within its nomological network. Our study instigates new debates about the completeness of our understanding of workplace deviance and provides the empirical building blocks necessary for this literature to reach its unrealized potential.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
momo完成签到,获得积分10
1秒前
1秒前
Ava应助风也不来采纳,获得10
1秒前
萧萧发布了新的文献求助10
1秒前
火星上的忆枫给火星上的忆枫的求助进行了留言
4秒前
4秒前
刘研发布了新的文献求助10
4秒前
英姑应助fancy采纳,获得10
5秒前
6秒前
小青椒应助gooofy采纳,获得30
6秒前
chinbaor完成签到,获得积分10
6秒前
琉璃发布了新的文献求助10
7秒前
8秒前
华仔应助躬身入局采纳,获得10
9秒前
Dilxat发布了新的文献求助10
9秒前
无耻之徒完成签到,获得积分10
12秒前
12秒前
12秒前
Duang发布了新的文献求助10
13秒前
13秒前
600完成签到 ,获得积分10
13秒前
14秒前
葡萄成熟时完成签到,获得积分20
14秒前
ZGAAQj发布了新的文献求助10
14秒前
Dean应助Sophie采纳,获得50
14秒前
CipherSage应助知性的雪糕采纳,获得10
15秒前
18秒前
li完成签到,获得积分10
18秒前
科研通AI6应助琉璃采纳,获得10
18秒前
wise111发布了新的文献求助10
19秒前
情怀应助小小米采纳,获得10
21秒前
21秒前
幸运幸福发布了新的文献求助10
21秒前
22秒前
IP41320发布了新的文献求助10
23秒前
momo完成签到,获得积分10
24秒前
量子星尘发布了新的文献求助10
24秒前
华仔应助满意的冰凡采纳,获得10
25秒前
善学以致用应助ZGAAQj采纳,获得10
25秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5468217
求助须知:如何正确求助?哪些是违规求助? 4571659
关于积分的说明 14331127
捐赠科研通 4498190
什么是DOI,文献DOI怎么找? 2464368
邀请新用户注册赠送积分活动 1453089
关于科研通互助平台的介绍 1427758