数字时代 IT 求职者对人力资本价值的看法

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-10-22 DOI:10.1016/j.techfore.2024.123819
Elena Shakina , Natalia V. Volkova , Sofia Paklina
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引用次数: 0

摘要

在劳动力市场技术变革的时代,求职者在招聘过程中要面对工资不确定的新情况。不透露工资预期通常会导致随后的工资讨价还价,从而影响工作匹配过程和最终商定的工资。本研究考虑到人力资本积累(教育、专业技能、工作经验)和工作相关信号(流动性、工作承诺、工作时间表/模式)的相互作用,深入研究求职者何时更倾向于在其在线简历中披露工资预期。本研究分析了东欧某国科技专业人士在 2016 年至 2020 年期间的 152,000 多份匿名在线简历,使用了 OLS 模型,并对样本选择偏差进行了赫克曼校正。研究结果揭示了工资期望披露的趋势。年轻的 IT 求职者,以及受教育程度更高、技能更强、流动性更大的求职者,倾向于讨价还价,很少披露工资期望值。女性求职者也有类似的情况。相反,拥有基本技能、寻求全职工作和明确工作时间表的年长求职者更有可能自愿公布工资预期。这项研究以在线简历为重点,探索了更广泛的指标,从而扩展了报酬方面的文献,反映了技术驱动的社会变革对现代劳动力市场求职者行为的重大影响。
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Perceived worth of human capital across IT jobseekers in the digital era
In an era of technological transformation in labor markets, jobseekers navigate a new landscape of wage uncertainty during the hiring process. Not disclosing wage expectations typically leads to subsequent wage bargaining, which can impact the job matching process and the final agreed-upon wage. This study delves into when jobseekers are more inclined to disclose wage expectations in their online CVs, considering the interplay of human capital accumulation (education, professional skills, work experience) and job-related signals (mobility, job commitment, work schedule/mode). Analyzing over 152,000 anonymous online CVs of tech professionals from 2016 to 2020 in one of the Eastern European countries, the study uses the OLS model with Heckman correction for sample selection bias. The findings reveal trends in wage expectation disclosure. Younger IT jobseekers, along with those who are more educated, skilled, and mobile, tend toward wage bargaining, seldom disclosing wage expectations. Similar effect holds for women jobseekers. Conversely, older jobseekers with basic skills, seeking full-time roles and clear work schedules, are more likely to voluntarily post wage expectations. This research extends compensation literature by focusing on online CVs and exploring a broader range of indicators, reflecting the significant impact of technology-driven social changes on jobseeker behavior in modern labor markets.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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