An emerging approach towards intention to quit among IT employees

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
{"title":"An emerging approach towards intention to quit among IT employees","authors":"Ashish Kumar Biswas, R. Seethalakshmi, Prabha Mariappan","doi":"10.1504/ijenm.2023.132967","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Enterprise Network Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijenm.2023.132967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种针对IT员工离职意向的新方法
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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
期刊最新文献
Multi-tier firm-level analysis of global auto supply chain: centrality and financial performance Development of coating material for low carbon steels using MCDM Multi-objective optimisation of wear process parameters of 413/fly ash composites using grey relational analysis Fashion market segmentation using Facebook: an empirical approach Development of coating material for low carbon steels using MCDM
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1