Relationship between onboarding experience and turnover intention: intervening role of locus of control and self-efficacy
Relationship between onboarding experience and turnover intention: intervening role of locus of control and self-efficacy
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DOI：
10.1108/ict-03-2017-0023
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发表时间：
2018-01-01
影响因子：
1.4
通讯作者：
Coelho, Philip
中科院分区：
文献类型：
--
作者：
Gupta, Priya D.;Bhattacharya, Sonali;Coelho, Philip
目的-本文的目的是找到行业明智的差异之间的关系入职经验（OE）和离职倾向（TI）。已试图找到心理变量的干预作用，如控制点和自我efficiency.Design/方法/途径-一个在线问卷调查，管理596新人在五个工业部门：快速消费品，信息技术（IT），制药，汽车制造，和酒店。问卷测量的结构控制点，自我效能感，感知OE，和TI。调查结果-逆关系感知OE和TI之间。基于动机的自我效能感与TI之间存在显著的正相关关系，这是通过OE来介导的。情感自我效能感会调节OE对TI的影响，因此对于低效能感的个体，OE与TI之间的负相关关系很强，但对于高自我效能感的个体，两个变量之间的关系是直接的。汽车制造业的OE显著高于其他行业。TI在IT和酒店业中明显更高。探索性因素分析的仪器上OE导致提取的四个因素。根据社会化资源理论，将其分为导向性、社会化、任务特性和领导力四个方面。社会化和领导方面是最重要的因素，在确定TI跨工业部门，而在酒店和汽车制造业的情况下，它被发现，更好的任务特性更高的是TI的机会。独创性/价值-有有限的研究连接各个方面的OE与TI跨行业，特别是在印度的背景。这将是本研究的独特贡献。
Purpose - The purpose of this paper is to find industry wise differences in relationship between onboarding experience (OE) and turnover intention (TI). An attempt has been made to find the intervening role of psychological variables such as locus of control and self-efficacy.Design/methodology/approach - An online questionnaire was administered to 596 newcomers in five industrial sectors: fast-moving consumer goods, information technology (IT), pharmaceuticals, automobile manufacturing, and hospitality. The questionnaire measured the constructs of locus of control, self-efficacy, perceived OE, and TI.Findings - Inverse relationship was found between perceived OE and TI. There is a significant positive relationship between motivation-based self-efficacy and TI which is mediated through OE. Affective self-efficacy moderates the impact of OE on TI, such that for individuals with low efficacy the inverse relationship between OE and TI is strong, but for individuals with high self-efficacy the relationship between the two variables is direct. The OE in automobile manufacturing industries is significantly higher than other industries. TI is significantly higher in IT and hospitality industries. Exploratory factor analysis of the instrument on OE led to extraction of four factors. Based on socialization resource theory, they were termed as orientation, socialization, task characteristics and leadership. Aspects of socialization and leadership are most significant factors in determining TI across industrial sectors, whereas in case of the hospitality and automobile manufacturing sector it was found that better the task characteristics higher is the chance of TI.Originality/value - There are limited studies linking various aspects of OE with TI across industries, especially in the Indian context. So, this will be the unique contribution of this research.