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Gender and skilled migration in the IT sector: a comparison between India and the UK 2016-2018
Creator
Raghuram, P, The Open University
Herman, C, The Open University
Sondhi, G, The Open University
Study number / PID
853244 (UKDA)
10.5255/UKDA-SN-853244 (DOI)
Data access
Restricted
Series
Not available
Abstract
This is a collection of data on men and women in the IT sector in India and the UK. The data includes quantitative survey undertaken with 155 IT firms in India; 400 IT workers in India and the UK divided across the following cohorts: migrant and non-migrant, in India and the UK, men and women. The deposited data also includes 86 interviews with migrant and non-migrant IT workers in India and the UK. This data explores the nature of the IT industry, its gendered formations, experiences of migration and future plans. The use of a comparative methodology in understanding gender issues in the IT sector makes it unique.The global Information Technology (IT) sector is characterised by low participation of women and the UK is no exception. In response, UK organizations (e.g. Women in Technology), committees (e.g. BCS Women) and campaigns (e.g. Computer Clubs for Girls) have been set up to address the problem and increase the small and falling number of women in IT education, training and employment. To complement and provide an evidence base for future interventions this project adopted a new approach by considering the problem from two unexplored angles simultaneously. First, India, in comparison with most OECD countries, has a much higher proportion of women working as IT specialists; the project compared the experiences of IT workers in India and the UK to see what the UK can learn from the Indian case. Secondly, the research explored the insights of migrant women and men who moved between UK and India and had experience of both work cultures in order to obtain new insights into gender norms in each country as well as best practice.
The project answered the following questions:
a) What are the gender differences in the labour market among migrant and non-migrant workers in the IT sector in India and the UK?;
b) What processes have led to different gendered patterns of workplace experiences among migrant and non-migrant workers in the IT sector in India and the UK?;...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/05/2016 - 30/04/2018
Country
United Kingdom, India
Time dimension
Not available
Analysis unit
Individual
Organization
Household
Event/process
Geographic Unit
Group
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Data collection mode
Data collection consisted of questionnaire surveys and interviews.A. Quantitative data:This data was collected through a market survey firm, KANTAR IMRB based in India. The company was employed to run two surveys.1. a company level survey, undertaken with HR managers in 156 IT sector companies in India across nine cities. The responses to the company survey came from mid to senior level HR professionals;The sample had the following characteristics: 156 firms were surveyed; these included small (<1001 employees), medium (1001-5000 employees) and large and very large (>5000 employees) organisations.2. a survey of 417 individuals working in the sector. This survey was organised around three variables: gender (male, female), migration status (migrant and non-migrant), and country of fieldwork (UK and India). This resulted in four cohorts: non-migrant IT workers in the UK and India; Indian migrant women and men in the UK and UK women and men who are visiting India.The respondents were all middle level IT workers with 10-15 years work experience in the sector.Non-probability sampling techniques were used to recruit the respondents through panels of IT sector firms and individuals in India and the UK.B. Qualitative data:Parallel to the application of these quantitative methods, we conducted semi structured interviews with employees working in the Indian and UK locations of selected multinational companies of which 86 are being submitted here. They were recruited through HR managers of participating firms.
Funding information
Grant number
ES/N003993/1
Access
Publisher
UK Data Service
Publication year
2019
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service. All requests are subject to the permission of the data owner or his/her nominee. Please email the contact person for this data collection to request permission to access the data, explaining your reason for wanting access to the data, then contact our Access Helpdesk.