通过TAM阐明性别差异在印度电子招聘采用中的作用:使用MICOM的多群体分析

Davinder Kaur, Rajpreet Kaur
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引用次数: 6

摘要

本文旨在回答两个研究问题:第一,研究直接和间接影响求职者意向的因素;第二,通过技术接受模型(TAM)在印度的应用,检验性别差异对电子招聘采用的调节作用。设计/方法/方法采用便利抽样技术,通过各种在线渠道(如社交媒体、LinkedIn和电子邮件)通过GoogleDocs收集在线数据。最终数据来自364名应届毕业生和研究生,以验证男女差异、复合模型(MICOM)测量不变性和多组分析(MGA)的影响。结果表明,感知有用性(PU)和感知易用性(PEOU)对求职者的态度(AT)有直接影响,而感知有用性(PU)对求职者的行为意向(BI)有影响,而感知易用性(PEOU)对态度(AT)没有影响。AT直接通向BI。中介分析结果显示,AT在PU与BI、PEOU与BI之间的关系中起部分中介作用。此外,MICOM和MGA的研究结果表明,除了AT对BI的影响外,性别显著调节了所有构念之间的关系。本研究对现有文献有所贡献,揭示了原始的TAM模型在新兴市场的普遍时期仍然是相关和有效的。PEOU和PU对AT和BI的重要性意味着,当电子招聘对求职者来说是用户友好的,并能帮助他们轻松高效地完成任务时,求职者会强烈采用电子招聘。此外,性别对电子招聘采用具有重要的调节作用。对于女性来说,PEOU的影响更强,对于男性来说,PU对收养有实质性的影响。实际意义发展商及招聘人员应提供有关薪酬、工作地点及职位简介的重要资料,以提高网上招聘的采用率。此外,与女性相比,男性对电子招聘系统的有用性更为重要,而女性求职者更喜欢易于使用和操作的电子招聘系统。原创性/价值本研究通过考察影响求职者商业智能的基本因素,并通过实证测试性别差异对采用商业智能进行电子招聘的影响,填补了文献中的空白——这在印度等发展中国家是一个未被充分探索的课题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elucidating the role of gender differences via TAM in e-recruitment adoption in India: a multi-group analysis using MICOM
Purpose This paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the moderating role of gender differences in e-recruitment adoption through the application of technology acceptance model (TAM) in India. Design/methodology/approach A convenience sampling technique was used to collect online data via GoogleDocs through various online channels such as social media, LinkedIn and email. The final data was collected from 364 final-year graduates and postgraduate students to confirm the impact of female and male differences, measurement invariance in composite models (MICOM) and multi-group analysis (MGA). Findings The results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) have a direct impact on attitude (AT), whereas PU influenced behavioral intentions (BI) of job-seekers, but PEOU did not. AT directly leads to the BI. The outcomes of mediation analysis show that AT partially mediates the relationships between PU to BI and PEOU to BI. Further, the findings of MICOM and MGA showed that gender significantly moderates all the relationships between the constructs except for the influence of AT on BI. Research limitations/implications This study contributes to the current literature, revealing that the original TAM model is still pertinent and effective in prevailing periods in emerging markets. The significance of PEOU and PU on AT and BI implies that job-seekers will strongly adopt e-recruitment when it is user-friendly and assist them to accomplish their tasks easily and efficiently. Moreover, gender has a vital moderating influence in e-recruitment adoption. In the case of females, the effect of PEOU is stronger, and for males, PU has a substantial impact on adoption. Practical implications Developers and recruiters should provide significant information related to salary, location and job profile on e-recruitment to enhance the adoption rate of online recruitment. Further, the usefulness of e-recruitment systems was more significant for males compared to females, whereas female job-seekers prefer the e-recruitment system, which is easy to use and operate. Originality/value This research fills a gap in the literature by examining the essential factors affecting the BI of job-seekers as well as empirically testing the impact of gender differences to adopt TAM for e-recruitment – an under-explored subject in developing countries like India.
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