一种针对IT员工离职意向的新方法

Q3 Business, Management and Accounting International Journal of Enterprise Network Management Pub Date : 2023-01-01 DOI:10.1504/ijenm.2023.132967
Ashish Kumar Biswas, R. Seethalakshmi, Prabha Mariappan
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引用次数: 0

摘要

传统离职意向结构的研究已经非常丰富,而专业社交网站活动和社交媒体求职门户网站个人资料更新的影响还处于起步阶段。目前的研究试图弥合这一差距。采用定量调查法收集资料(N = 598)。采用结构方程模型对假设模型进行检验。本研究采用横断面调查方法。研究结果表明,频繁更新求职门户网站上的个人资料会增加专业社交网站上的活动,从而影响辞职意愿。本研究将专业社交网站的活动和求职门户网站的个人资料的含义植入调查对象中,以识别其潜在的辞职意向行为。
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An emerging approach towards intention to quit among IT employees
Research on traditional constructs towards intention to quit has been abundant while the impact of activities in professional networking sites and updating of profile in job portals in social media is in its infancy stage. The current research attempts to bridge this gap. Quantitative survey approach was used to collect the data (N = 598). Structural equation model is applied to test the hypothesised model. Cross sectional survey is employed in this research. The findings suggest, a frequent update of profiles in job portals increases the activities in professional networking sites, influencing intention to quit. The study implanted the implications of activities in professional networking sites and profile in job portals towards the identification of hidden behaviour of intention to quit among the respondents.
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来源期刊
International Journal of Enterprise Network Management
International Journal of Enterprise Network Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
0.90
自引率
0.00%
发文量
28
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