An exploratory study of factors influencing career decisions of Generation Z women in Data Science

IF 1.2 Q4 MANAGEMENT
M. Bhore, Poornima Tapas
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引用次数: 0

Abstract

Orientation: Since April 2022, there has been a 30% increase in Data Science job openings globally. The majority of these positions are filled by Generation Z talent (Gen Z). According to research, businesses that promote gender diversity have higher earnings and revenues.Research purpose: The purpose of this study is to identify factors that will help organizations in designing policies and work environment to attract and foster Gen Z women employees in Data Science.Motivation for the study: There is limited research focusing on Gen Z women professionals and factors influencing their career choices in the field of Data Science in the Indian context.Research approach/design and method: Structured questionnaire was distributed online. Purposive sampling technique was adopted and 216 responses from Gen Z women studying in technology institutes pan India and working in Data Science were collected. Multiple linear regression statistical technique was leveraged for data analysis.Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science.Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women.Contribution/value-add: The findings of this study will encourage more women from Gen Z to pursue careers in Data Science, boosting gender diversity and inclusivity in Data Science.
影响数据科学领域Z世代女性职业决策因素的探索性研究
定位:自2022年4月以来,全球数据科学职位空缺增加了30%。这些职位大多由Z世代(Gen Z)人才担任。根据研究,促进性别多元化的企业有更高的收入和收入。研究目的:本研究的目的是确定有助于组织设计政策和工作环境的因素,以吸引和培养数据科学领域的Z世代女性员工。研究动机:在印度背景下,对Z世代女性专业人士和影响她们在数据科学领域职业选择的因素的研究有限。研究方法/设计与方法:在线发放结构化问卷。采用了有目的的抽样方法,收集了在全印度技术学院学习和从事数据科学工作的Z世代女性的216份回复。利用多元线性回归统计技术进行数据分析。主要发现:技术教育、工作机会、薪酬和有利的环境显著正向影响Z世代女性在数据科学领域的职业决策。实际影响:组织将能够制定政策来鼓励雇用Z世代女性,打破阻碍女性在数据科学领域追求职业的刻板印象,创造一个有利的工作环境,承认和奖励Z世代女性的表现。贡献/增值:这项研究的结果将鼓励更多的Z世代女性从事数据科学领域的职业,促进数据科学领域的性别多样性和包容性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
18.20%
发文量
54
审稿时长
22 weeks
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