Organizational socialization, organizational identification and organizational citizenship behavior

组织公民行为 社会化 组织识别 组织承诺 心理学 组织行为与人力资源 鉴定(生物学) 组织发展 独创性 组织研究 组织学习 组织工程学 社会心理学 组织行为学 知识管理 公共关系 政治学 创造力 计算机科学 植物 生物
作者
Jianhua Ge,Xuemei Su,Yan Zhou
出处
期刊:Nankai business review international [Emerald Publishing Limited]
卷期号:1 (2): 166-179 被引量:32
标识
DOI:10.1108/20408741011052573
摘要

Purpose This paper aims to: provide theoretical analysis and empirical study on the relationship between organizational socialization and organizational citizenship behavior (OCB); analyze the mediating role of organizational identification in their relationship; and draw from both of these to suggest practical implications to organizations aiming to effectively socialize employees, and for employees themselves. Design/methodology/approach First, the paper reviews the literature regarding organizational socialization, OCB and organizational identification. Second, it develops a theoretical model linking organizational socialization, organizational identification and OCB, and then proposes a series of research hypotheses. Third, drawing on samples of seven high‐tech manufacturing enterprises in China, it tests hypotheses based on a series of measurement and statistical analysis. Findings Organizational history, language, values and goals socialization are positively related to OCB and organizational identification. Further, organizational identification fully mediates the relationship between language, values and goals socialization and OCB, and partially mediates the relationship between history socialization and OCB. Research limitations/implications The cross‐sectional design prevented the making of causal statements. Data are from employees' self‐report, giving rise to concern about possible common source bias. Originality/value The paper explores the relationships between organizational socialization and OCB, and proposes and tests the mediating role of organizational identification.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
1秒前
cocoxue完成签到 ,获得积分10
1秒前
cyx完成签到 ,获得积分10
1秒前
烟花应助科研通管家采纳,获得10
3秒前
三水应助科研通管家采纳,获得10
3秒前
3秒前
aajhajkahna应助科研通管家采纳,获得10
3秒前
hhh应助科研通管家采纳,获得10
3秒前
大模型应助科研通管家采纳,获得10
3秒前
在水一方应助科研通管家采纳,获得10
4秒前
4秒前
aajhajkahna应助科研通管家采纳,获得10
4秒前
十三应助volcano采纳,获得10
4秒前
4秒前
十三应助volcano采纳,获得10
4秒前
gbtj123发布了新的文献求助10
4秒前
Akim应助科研通管家采纳,获得10
4秒前
aajhajkahna应助科研通管家采纳,获得10
4秒前
李爱国应助科研通管家采纳,获得10
4秒前
ccc发布了新的文献求助10
5秒前
5秒前
5秒前
脑洞疼应助HAHA采纳,获得10
6秒前
7秒前
sagitar应助一二采纳,获得40
7秒前
Orange应助温暖的蚂蚁采纳,获得10
8秒前
研友_gnv0b8发布了新的文献求助10
10秒前
areeha发布了新的文献求助10
10秒前
13秒前
Ehowl发布了新的文献求助10
13秒前
13秒前
14秒前
volcano完成签到,获得积分20
16秒前
Dr.c完成签到,获得积分10
16秒前
17秒前
18秒前
伶俐楷瑞完成签到,获得积分10
19秒前
21秒前
21秒前
pidan完成签到,获得积分10
21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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614484
求助须知:如何正确求助?哪些是违规求助? 9189854
关于积分的说明 19690476
捐赠科研通 7187272
什么是DOI,文献DOI怎么找? 3271145
关于科研通互助平台的介绍 2434485
邀请新用户注册赠送积分活动 2266144