基于linkedin的技能背书和基于linkedin的招聘推荐对招聘偏好的作用:来自孟加拉国雇主的证据

Md. Sajjad Hosain, Abdullah Mohammad Ahshanul Mamun
{"title":"基于linkedin的技能背书和基于linkedin的招聘推荐对招聘偏好的作用:来自孟加拉国雇主的证据","authors":"Md. Sajjad Hosain, Abdullah Mohammad Ahshanul Mamun","doi":"10.1108/manm-05-2023-0021","DOIUrl":null,"url":null,"abstract":"Purpose LinkedIn is a popular and maybe the best job-oriented social networking site (SNS) around the world. Numerous individuals (mostly, jobseekers), as well as the companies (mostly, hiring organizations) have LinkedIn accounts. This study intends to reveal the roles of LinkedIn-based skill endorsements (LSEs) as well as LinkedIn-based hiring recommendations (LHRs) on the hiring preferences (HPs) of Bangladeshi employers. Design/methodology/approach The authors purposefully selected 388 valid respondents (employers) from different Bangladeshi job sectors. Based on their responses, the authors applied SPSS 25 for explanatory statistics and a “Covariance-based Structural Equation Modeling (CB-SEM)” (with AMOS 25) to measure the hypothesized associations. Findings After appropriate analysis, the authors revealed a momentous positive role of LHR on HP, whereas LSE was identified to have an inconsiderable role on HP. Originality/value In this empirical study, the authors tried to highlight the relatively unattended area of Bangladeshi employers' HPs that can be affected by LSEs and LHRs. The authors believe that this study will encourage the researchers to unveil the impacts of LinkedIn-based profile characteristics on job candidates' employability. This empirical study can also aid the employers and policymakers to look for a new avenue for hiring competent talents.","PeriodicalId":219219,"journal":{"name":"Management Matters","volume":"64 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The roles of LinkedIn-based skill endorsements and LinkedIn-based hiring recommendations on hiring preferences: evidence from Bangladeshi employers\",\"authors\":\"Md. Sajjad Hosain, Abdullah Mohammad Ahshanul Mamun\",\"doi\":\"10.1108/manm-05-2023-0021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose LinkedIn is a popular and maybe the best job-oriented social networking site (SNS) around the world. Numerous individuals (mostly, jobseekers), as well as the companies (mostly, hiring organizations) have LinkedIn accounts. This study intends to reveal the roles of LinkedIn-based skill endorsements (LSEs) as well as LinkedIn-based hiring recommendations (LHRs) on the hiring preferences (HPs) of Bangladeshi employers. Design/methodology/approach The authors purposefully selected 388 valid respondents (employers) from different Bangladeshi job sectors. Based on their responses, the authors applied SPSS 25 for explanatory statistics and a “Covariance-based Structural Equation Modeling (CB-SEM)” (with AMOS 25) to measure the hypothesized associations. Findings After appropriate analysis, the authors revealed a momentous positive role of LHR on HP, whereas LSE was identified to have an inconsiderable role on HP. Originality/value In this empirical study, the authors tried to highlight the relatively unattended area of Bangladeshi employers' HPs that can be affected by LSEs and LHRs. The authors believe that this study will encourage the researchers to unveil the impacts of LinkedIn-based profile characteristics on job candidates' employability. This empirical study can also aid the employers and policymakers to look for a new avenue for hiring competent talents.\",\"PeriodicalId\":219219,\"journal\":{\"name\":\"Management Matters\",\"volume\":\"64 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Management Matters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/manm-05-2023-0021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management Matters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/manm-05-2023-0021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

LinkedIn是一个很受欢迎的,也许是世界上最好的面向工作的社交网站。许多个人(主要是求职者)和公司(主要是招聘机构)都有LinkedIn账户。本研究旨在揭示基于linkedin的技能认可(LSEs)和基于linkedin的招聘推荐(lhr)对孟加拉国雇主招聘偏好(hp)的作用。设计/方法/方法作者有目的地从孟加拉国不同的工作部门选择了388名有效的受访者(雇主)。根据他们的回答,作者使用SPSS 25进行解释统计,并使用“基于协方差的结构方程模型(CB-SEM)”(与AMOS 25)来测量假设的关联。经过适当的分析,作者揭示了LHR对HP的重大积极作用,而LSE对HP的作用是微不足道的。在这一实证研究中,作者试图突出孟加拉国雇主的hp相对无人关注的领域,这些领域可能受到lse和lhr的影响。作者认为,这项研究将鼓励研究者揭示基于linkedin的个人资料特征对求职者就业能力的影响。这一实证研究也可以帮助雇主和政策制定者寻找招聘合格人才的新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The roles of LinkedIn-based skill endorsements and LinkedIn-based hiring recommendations on hiring preferences: evidence from Bangladeshi employers
Purpose LinkedIn is a popular and maybe the best job-oriented social networking site (SNS) around the world. Numerous individuals (mostly, jobseekers), as well as the companies (mostly, hiring organizations) have LinkedIn accounts. This study intends to reveal the roles of LinkedIn-based skill endorsements (LSEs) as well as LinkedIn-based hiring recommendations (LHRs) on the hiring preferences (HPs) of Bangladeshi employers. Design/methodology/approach The authors purposefully selected 388 valid respondents (employers) from different Bangladeshi job sectors. Based on their responses, the authors applied SPSS 25 for explanatory statistics and a “Covariance-based Structural Equation Modeling (CB-SEM)” (with AMOS 25) to measure the hypothesized associations. Findings After appropriate analysis, the authors revealed a momentous positive role of LHR on HP, whereas LSE was identified to have an inconsiderable role on HP. Originality/value In this empirical study, the authors tried to highlight the relatively unattended area of Bangladeshi employers' HPs that can be affected by LSEs and LHRs. The authors believe that this study will encourage the researchers to unveil the impacts of LinkedIn-based profile characteristics on job candidates' employability. This empirical study can also aid the employers and policymakers to look for a new avenue for hiring competent talents.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信