环境背景对IT劳动力中女性的影响

E. Trauth, Jeria L. Quesenberry, Benjamin Yeo
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引用次数: 25

摘要

为了更好地了解妇女在信息技术领域任职人数不足的情况,研究的重点是收集和分析经验数据。然而,也需要适当的理论来理解和解释这些数据。为此,特鲁斯已经参与了一项研究计划,旨在阐明一种基于经验的理论,以解释和预测女性在IT领域的代表性不足。这一理论被称为性别和IT的个体差异理论,该理论认为,通过理解女性之间的差异,而不是专注于刻板印象中男性和女性之间的差异,可以更好地解释女性在IT行业的代表性不足。为此,确定了一套构念,包括:个人数据、形成和影响因素以及环境背景。在一项对女性IT专业人员的生活史进行的多年研究中,这组构念被用作解释性工具。结果,到目前为止,已经解决了个人数据,塑造和影响因素。本文的目的是考察环境语境的构建。结果表明,经济因素,如信息经济的规模、家庭收入和生活成本,以及文化因素,如对妇女、从事IT工作的妇女和从事IT工作的妇女的态度和价值观,确实对女性在IT劳动力中的经历产生影响。因此,本文提出的数据分析有助于进一步支持这一新兴的性别与信息技术及其结构的个体差异理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of environmental context on women in the IT workforce
In an effort to better understand the under representation of women in the IT field, the focus of research has been on the collection and analysis of empirical data. However, there is also a need for appropriate theory to understand and explain that data. Toward this end, Trauth has engaged in a program of research directed at the articulation of an empirically-grounded theory to explain and predict the under representation of women in the IT field. Called The Individual Differences Theory of Gender and IT, this theory argues that the under representation of women in IT is better accounted for by understanding the variation across women than by focusing on ascribed differences between men and women in stereotype. To this end, a set of constructs has been identified, including: personal data, shaping and influencing factors and environmental context. This set of constructs is being used as the interpretive vehicle in a multi-year study of the life histories of women IT professionals. The results, to date, have addressed the personal data, and shaping and influencing factors. The purpose of this paper is to examine the construct: environmental context. The results suggest that economic factors such as size of the information economy, household income and cost of living, and cultural factors such as attitudes and values regarding women, women working and women working in IT do exert an influence on the experience of women in the IT workforce. Thus, the data analysis presented in this paper serves to further supports this emerging theory of individual differences of gender and IT and its constructs.
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