Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services

Langer, Nishtha; Gopal, Ram D.; Bapna, Ravi

doi:10.1287/isre.2019.0892

Cited by 23 publications

(13 citation statements)

References 97 publications

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“…An analysis of archival promotion data found that women in IT were more likely to be promoted than men, contrary to the researchers’ predictions (Langer et al., 2020).…”

Section: Bias and Discrimination In The Workplacecontrasting

confidence: 64%

“…In fact, in some fields, men may be held to a higher standard (Madison & Fahlman, 2020). • An analysis of archival promotion data found that women in IT were more likely to be promoted than men, contrary to the researchers' predictions (Langer et al, 2020). • Among German sociologists, women can get tenure with 23-44% fewer publications than men (Lutter & Schr€ oder, 2016).…”

Section: Challenges To the Discrimination Explanation For Stem Gender Gapsmentioning

confidence: 90%

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Men, women and STEM: Why the differences and what should be done?

Stewart‐Williams

Halsey

2021

Eur J Pers

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It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gender gaps are discrimination and socialization, and the most common policy prescriptions target those ostensible causes. However, a great deal of evidence in the behavioural sciences suggests that discrimination and socialization are only part of the story. The purpose of this paper is to highlight other aspects of the story: aspects that are commonly overlooked or downplayed. More precisely, the paper has two main aims. The first is to examine the evidence that factors other than workplace discrimination contribute to the gender gaps in STEM. These include relatively large average sex differences in career and lifestyle preferences, and relatively small average differences in cognitive aptitudes – some favouring males, others favouring females – which are associated with progressively larger differences the further above the average one looks. The second aim is to examine the evidence suggesting that these sex differences are not purely a product of social factors but also have a substantial biological (i.e. inherited) component. A more complete picture of the causes of the unequal sex ratios in STEM may productively inform policy discussions.

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“…An analysis of archival promotion data found that women in IT were more likely to be promoted than men, contrary to the researchers’ predictions (Langer et al., 2020).…”

Section: Bias and Discrimination In The Workplacecontrasting

confidence: 64%

Section: Challenges To the Discrimination Explanation For Stem Gender Gapsmentioning

confidence: 90%

Men, women and STEM: Why the differences and what should be done?

Stewart‐Williams

Halsey

2021

Eur J Pers

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“…First, this study adds to the existing gender disparity in IT literature. Gender disparities are an often-cited concern of the IT workforce (DiSabatino, 2000;Patel and Parmentier, 2005;Trauth et al, 2008;Langer et al, 2020). It has been documented that working women face severe challenges in the IT workforce.…”

Section: Introductionmentioning

confidence: 99%

“…Cultural attitudes about maternity, childcare, parental care, and working outside the home seriously affect a woman's choice of an IT career (Trauth et al, 2008). Women realize less benefit from performance gains than men and less benefit from tenure within IT firms (Langer et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Gender Disparity in Students’ Choices of Information Technology Majors

Gros

Mao

2021

Business Systems Research Journal

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Background: The gender disparity in the Information Technology (IT) field has persisted over the years. In 2018, only 27.2% of IT workers were women. Once hired, women face more challenges, and they are leaving the field twice as fast as men are. The misconception that women are weak in tech is one of the root causes of gender disparity issues in IT. Objectives: We examine the gender disparity in students’ choices of IT majors, as well as the decision process of Computer Information Systems (CIS) graduates. Methods/Approach: We use the United States public universities’ student data from 2010 to 2018. Both the Pooled and the Satterthwaite t-test are used to investigate the gender disparity issue among the students. Results: Our results support our hypothesis that female students are statistically less likely to choose CIS than their male peers are. An additional analysis of students’ grades in CIS courses shows that female students perform equally well as male students do. We did not find any evidence that it takes longer for female students to get the CIS degree; however, female students did change their majors more often. Conclusions: Female students tend to avoid IT majors; they often think they may not do well in the courses; however, such an assumption is not true. Our findings provide strategies for university and high school administration to be more proactive in developing recruiting strategies to attract and retain female CIS students.

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“…The objective is to provide society and the government with information that supports the intragender agenda in urban mobility. Although previous studies have investigated the problems of technology use concerning gender (Primo, 2003;Asiedu, 2012;Foth, 2016;Ibrahim and Adamu, 2016;Karwatzki et al, 2017;Cai et al, 2017;Kottorp et al, 2019;Langer et al, 2020), none of these studies has adopted an intragender perspective regarding the use of urban applications.…”

Section: Introductionmentioning

confidence: 99%

Female lens in urban mobility: technology-use behavior and individual differences

Hino

Cunha

2021

ITP

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PurposeThe purpose of this study is to investigate how women's individual differences influence urban mobility service technology-use behavior. The reduction in urban mobility is a major problem in countries with emerging economies, thus affecting both the economy and quality of life.Design/methodology/approachThe theoretical approach follows the individual differences theory of gender and information technology (IDTGIT). This research combines structured interviews to understand how the use of urban mobility service technology in daily routines is perceived, questionnaires to map individual differences and user demonstrations to capture how participants used mobility applications on their cell phones.FindingsThis study shows the influence of individual characteristics on the use of mobile apps and presents five behavioral profiles of women. This article goes beyond gender segregation to also show intragender differences.Practical implicationsThis study explains women's behavior regarding urban mobility mobile applications through the generation of five profiles. These profiles can inform public policy managers on urban mobility and provide opportunities for improving the services of companies in the urban transport service chain.Originality/valueWith an intragender perspective, this study identifies the influence of individual characteristics on the use of technology and suggests that contextual identity, a novel dimension of characteristics that influence technology-use behavior, is relevant in the adoption of technology by its users.

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Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services

Cited by 23 publications

References 97 publications

Men, women and STEM: Why the differences and what should be done?

Men, women and STEM: Why the differences and what should be done?

Gender Disparity in Students’ Choices of Information Technology Majors

Female lens in urban mobility: technology-use behavior and individual differences

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