Original Research

An exploratory study of factors influencing career decisions of Generation Z women in Data Science

Milind Bhore, Poornima Tapas
SA Journal of Human Resource Management | Vol 21 | a2168 | DOI: https://doi.org/10.4102/sajhrm.v21i0.2168 | © 2023 Milind Bhore, Poornima Tapas | This work is licensed under CC Attribution 4.0
Submitted: 06 November 2022 | Published: 23 March 2023

About the author(s)

Milind Bhore, Symbiosis Institute of Business Management, Symbiosis International Deemed University, Pune, India
Poornima Tapas, Symbiosis Institute of Business Management, Symbiosis International Deemed University, Pune, India

Abstract

Orientation: Since April 2022, there has been a 30% increase in Data Science job openings globally. The majority of these positions are filled by Generation Z talent (Gen Z). According to research, businesses that promote gender diversity have higher earnings and revenues.

Research purpose: The purpose of this study is to identify factors that will help organizations in designing policies and work environment to attract and foster Gen Z women employees in Data Science.

Motivation for the study: There is limited research focusing on Gen Z women professionals and factors influencing their career choices in the field of Data Science in the Indian context.

Research approach/design and method: Structured questionnaire was distributed online. Purposive sampling technique was adopted and 216 responses from Gen Z women studying in technology institutes pan India and working in Data Science were collected. Multiple linear regression statistical technique was leveraged for data analysis.

Main findings: Technical education, job opportunities, compensation and conducive environment significantly and positively influence career decisions of Gen Z women in Data Science.

Practical implications: Organizations will be able to define policies to encourage hiring of Gen Z women, break stereo types that prevent women from pursuing career in Data Science and create a conducive work environment that acknowledges and rewards the performance of Gen Z women.

Contribution/value-add: The findings of this study will encourage more women from Gen Z to pursue careers in Data Science, boosting gender diversity and inclusivity in Data Science.


Keywords

Gen Z women; career; Data Science; technology; Science, Technology, Engineering, and Mathematics (STEM)

JEL Codes

M14: Corporate Culture • Diversity • Social Responsibility

Sustainable Development Goal

Goal 5: Gender equality

Metrics

Total abstract views: 2294
Total article views: 2323

 

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