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Environmental Influences on Gender in the IT Workforce

机译:环境对IT劳动力中的性别的影响

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In an effort to better understand the under-representation of women within the IT profession, one promising line of investigation is the influence of factors in the socio-cultural environment. In order to examine this topic, we draw on data from a multi-year field study of women IT professionals in three regions of the U.S.: Massachusetts, North Carolina and Pennsylvania. We employ Trauth's (2000) conceptual framework of environmental influences on the development of a region's information economy to consider economic and cultural influences on women's recruitment and retention in the IT field. The findings reveal a range of influences and a wide variety of responses to them. The contribution of this research to theoretical understanding is twofold. First, we demonstrate that socio-cultural factors serve as both barriers to and facilitators of women's recruitment and retention in the IT profession. This suggests the need for investigations of not just women themselves, but also of the societal environments within which they grow up, live and work. Second, we demonstrate that there is not one unilateral set of environment factors that can explain women's under-representation. Rather, a combination of differing regional influences and individual responses to them is in evidence. This finding of variability both among environmental influences and among women's responses to them provides empirical support for ongoing theory development efforts regarding the role of individual differences in explaining women's under-representation in IT.
机译:为了更好地了解IT专业人员中女性的代表性不足,一项有前途的研究方向是社会文化环境中因素的影响。为了研究此主题,我们利用对美国三个地区(马萨诸塞州,北卡罗来纳州和宾夕法尼亚州)的女性IT专业人员进行的多年实地研究得出的数据。我们采用Trauth(2000)的环境影响概念框架来发展一个地区的信息经济,以考虑经济和文化对女性在IT领域的招聘和保留的影响。该发现揭示了一系列影响以及对它们的多种反应。这项研究对理论理解的贡献是双重的。首先,我们证明,社会文化因素既是女性在IT行业招聘和留用的障碍,也是其促进者。这表明不仅需要对妇女本身进行调查,而且还需要对妇女的成长,生活和工作的社会环境进行调查。其次,我们证明没有一组单方面的环境因素可以解释女性代表不足的情况。相反,不同的区域影响和对它们的个人反应的结合是明显的。在环境影响之间以及妇女对她们的反应之间存在差异的这一发现为正在进行的理论发展工作提供了经验支持,这些工作涉及个体差异在解释女性在IT中的代表性不足的作用。

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