Artificial intelligence (AI)

, 53, 107

‘Axiomatic’ mechanisms

, 122

Base identity

, 32

Black feminist ideology

, 38

British Airways cabin crew strike

, 141

Brogrammers

, 108

Career development

, 17, 45, 119–120

Caring responsibilities

, 4

Co-creative professional space

, 74

Coders

, 108

Community-driven technology innovation

, 34

Consciousness-raising

, 131

Consistent performance evaluations

, 121

Conventional office setting

, 154

Cultural fitness

, 113

Cultural-spatial dimensions

, 72

Cultural-spatial elements

, 96

Cyberfeminism

, 38

Cyberwomanism

, 38

Digital activism

, 37, 39

Digital engineers

, 108

Digital feminism

, 41

Digital research

, 11–14

Disciplinary action

, 147

Discrete markers

, 33

Discrimination

, 29

Discriminatory behaviours

, 97

Discursive production of cyberfeminism

, 34

Diversity statement

, 120–121

Dominant conditions of space

, 72, 73–85

Dominant masculine tech culture

, 45

Emotional labour

, 104

Entrepreneurial practices

, 71

Ethics

, 11–14

#Everydaysexism

, 18, 129–148

Face-to-face events

, 139

Feminist technology

, 37

Feminist theory

, 32

Finding work

, 100

Flexible working

, 104

Formal planning

, 119–120

Gender

diversity

, 115

education

, 31

gendered differences

, 93

gendered identity

, 72

gender frame

, 113

inequality

, 86, 132

inferior status

, 50

leadership

, 10

linked dimensions

, 152

pay gap

, 130

spatial dimensions

, 93

stereotypes

, 111

technology

, 30

Gender-spatial boundaries

, 72, 85–98

Glassdoor

, 102

Global identity

, 92

Global tech culture

, 5, 149–156

GoogleHangout

, 126

Google’s Women Techmakers

, 144

Hegemonic sexism

, 38

Hierarchical space

, 70

High-status roles

, 53

Homophobia

, 38

Identity markers

, 83

Identity work

, 43

Innovation

, 92

Inside Microsoft

, 144

Inspiration

, 48

Intersectionality

, 33

Intimacies of labour

, 100–102

Israel’s Ministry of Foreign Affairs (IMFA)

, 82

51jobs

, 102

Labour market

, 106

Leadership support

, 100

LGBTQIA1 workers

, 30

LinkedIn

, 102

Low-status roles

, 51, 56

Machine learning (ML)

, 107

Male privilege

, 29

Management structure

, 118–119

Masculine pursuits

, 154

Masculine tech culture

, 95

Masculine tech toxicity

, 17, 99–128

Material spaces

, 81

Mediabistro

, 102

Men in tech (MiT) label

, 53

attitudes and behaviours

, 54

high-status roles

, 53

male professionals

, 53

WiT

, 49

#MeToo

, 18, 129–148

Misogyny

, 130

Networking

, 100, 111

New language of smartness

, 76

Occupational clusters

, 103

Occupational culture

, 110

Occupational spaces

, 71

Openness

, 97

Open participation

, 93

Open-plan office spaces

, 93

Open-plan space dominance

, 93

Organisational aesthetics (OA)

, 83

PageExecutive

, 102

Performance evaluations

, 121–126

Personal validation

, 90

Political interventions

, 34

Popular media

, 46

Postfeminism era

, 40

Professional competencies

, 55

Professional contexts

, 111–117

Professional roles

, 17

Promotions

, 100

Qualitative methodological approach

, 11

Raw gender tech pay gap

, 118

Recruitment

, 102–110, 120–121

Recruitment advertisements

, 103, 107

Sandberg’s analysis

, 40

Science, Technology, Engineering and Mathematics (STEM)

, 1, 3–4

Self-confidence

, 117

Self-help proliferation

, 39, 151

Sense of difference

, 97

Sense of dissatisfaction

, 45

Sexism

, 63–67, 130

Silicon Valley

, 72, 80, 91

reputation

, 92

Social media

, 28, 39, 40

Social space

, 80

Spaces

dominant conditions

, 73–85

hierarchical

, 70

occupational

, 71

professional

, 84

Spatial design

, 79

Status biases

, 55

SurveyMonkey

, 118

Sussex University

, 44

Sustaining work relations

, 100

Tech cities

, 73, 75, 126

Tech clusters

, 6–10, 33–34, 69, 104

cultural-spatial elements

, 96

dominant conditions of space

, 73–85

East Asia

, 72

equal place

, 149–156

gender-spatial boundaries

, 86

masculine

, 95

material place

, 72

organisation

, 16–18

participants workers

, 14–16

Sites

, 6–8

space dominant conditions

, 73–85

UK

, 71

women’s inclusion

, 146

Tech cultures

cultural perceptions

, 111

intersectional differences

, 113

masculine

, 100

Tech girls

, 97

Technofeminism

, 17, 20–26

Technofeminist methods

, 34

Technology

, 30

Urban design elements

, 74

Urban elements of space

, 75

WeChat

, 142

Western embodiment theory

, 34

White governmentality

, 144

Women brewers

, 4

Women in tech (WiT) label

, 17, 43–68, 87, 101, 136, 142

attitudes and behaviours

, 52

female professionals

, 51

global uses

, 47–48

government and industry reports

, 46

identity work

, 56–63

lack of diversity

, 47

low-status roles

, 51

media

, 46

men in tech (MiT)

, 49

position of workers

, 55

sexism

, 63–67

status characteristics

, 50–56

straitjacket

, 50–56, 88

women’s tech groups

, 46

workplace disadvantages

, 50

Women’s autonomy online

, 36–42

Women’s rights campaigns

, 40

Women’s tech groups

, 46

Women tech workers

differences and limitations

, 30–36

gender

, 26–30

point of conflict

, 30–36

shifting women’s autonomy online

, 30–36

suitability

, 19

technofeminist scholarship

, 20–26

Workplaces

, 18, 74

informal play environment

, 87

innovative

, 76

material

, 79

professional

, 76

Zhaopin

, 102