Academic Papers
Empowering inclusion with insightful research.
Welcome to the Diversity Atlas Academic Papers Repository!
We are delighted to offer you this collection of academic papers on diversity, equity, and inclusion, curated from verified and reputable sources. This resource is designed to provide our members with quick access to valuable research that can inform and enhance your DEI initiatives.
Please note that all papers included in this repository have been collected with respect for and in accordance with the rights of the original authors and publishers.
We hope you find this resource useful and enriching. Happy reading!
2022
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Reward Utete
Examining the relationship between employment equity implementation and employee performance at workplace: Evidence from a leading organisation in South Africa
Employment equity has continued to occupy a centre stage in the field of human resource management in the current and forthcoming decades in various countries worldwide. It plays a critical role in promoting the elimination of unfair discrimination and consideration of people from previously disadvantaged groups at the workplace. The paper aims to establish the relationship between employment equity implementation
2022
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Eduard Fosch-Villaronga and Adam Poulsen
Diversity and Inclusion in Artificial Intelligence
Discrimination and bias are inherent problems of manyAI applications, as seen in, for instance, face recognition systems not recognizing dark-skinned women and content moderator tools silencing drag queens online. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community’s western-male configuration bias. Although being a pressing issue, understanding
2022
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Preeti S. Chauhan, Nir Kshetri
The Role of Data and Artificial Intelligence in Driving Diversity, Equity, and Inclusion
The year 2020 changed the world landscape in ways more than ever before. One of the differences that came about was the increased push to prioritize diversity, equity, and inclusion (DEI) at the workplace and in society at large. Data and artificial intelligence (AI) can be used to identify equality gaps and bring them to the forefront. According to U.S.
2021
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Meraiah Foley and Rae Cooper
Workplace gender equality in the post-pandemic era: Where to next?
The COVID-19 pandemic exposed and accelerated many gendered labour market inequalities in Australia and around the world. In this introduction to our special issue, ‘Workplace Gender Equality: Where are we now and where to next?’, we examine the impact of the pandemic on women’s employment, labour force participation, earnings, unpaid care work and experience of gendered violence. We identify five
2021
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Mohammed T. Nuseir , Barween H. Al Kurdi , Muhammad T. Alshurideh , and Haitham M. Alzoubi
Gender Discrimination at Workplace: Do Artificial Intelligence (AI) and Machine Learning (ML) Have Opinions About It
The gender discrimination problem started from day one when they entered professional offices, factories, businesses, institutions, and other organizations. Despite strict regulations and laws, gender-based discrimination can be seen in almost all working places. However, its types and gravity may change with the place, sectors, or development level of a country. The complaints and protests of affected women roar severely
2021
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Hyoung Eun Chang,Suyong Jeong
Male Nurses’ Experiences of Workplace Gender Discrimination and Sexual Harassment in South Korea: A Qualitative Study
Purpose: The purpose of this study was to explore male nurses’ experiences of workplace gender discrimination and sexual harassment in South Korea. Methods: Phenomenological qualitative methodology exploring male nurses’ experiences was employed to collect data, and thematic analysis of the data was conducted. Research subjects were recruited by convenience and snowball sampling. Ten male nurses participated in individual in-depth interviews
2021
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Kim, Pauline T, Bodie, Matthew T
Artificial Intelligence and the Challenges of Workplace Discrimination and Privacy
AI systems have the ability to generate insights that are not accessible based on ordinary human observation, and the more complex systems may generate results that are not fully explainable or understandable, even by their human creators.4 Early efforts at artificial intelligence endeavored to make machines into the equivalent of humans, with the ability to exercise judgment in a variety
2021
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Kim A. Young, Shahidul Hassan & Deneen M. Hatmaker
Towards understanding workplace incivility: gender, ethical leadership and personal control
Few public management studies have examined the prevalence of workplace incivility and ways to reduce uncivil behaviour towards women and minority groups. The present research examines the influence of employee gender, personal control, and ethical leadership on workplace incivility experiences in public workplaces using data collected from government and non-profit employees in Pakistan. We find that women are more likely
2021
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Jane Coffey, Farveh Farivar & Roslyn Cameron
The Job Seeking Experiences of International Graduates in the Host Country: Australia’s Lost Opportunity?
This paper examines the job seeking experiences of international graduates in attempting to obtain meaningful work in their university education host country. Qualitative feedback on the specific job seeking barriers and experiences in the host country after graduating were provided by 696 respondents. The findings suggest that the specific barriers to finding employment were their visa status, lack of work
2021
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published by Human Resource Management International Digest
Stereotypes, stigma and support: Positive and negative experiences of gender diversity in the workplace
Stigma and discrimination in the workplace can take place against several different disadvantaged social groups. Predominantly it is found against women and racial groups. However, it can also take place against age, religion, disability and sexuality. One social group which has been little studied is Gender Diverse Individuals (GDIs). GDIs are individuals whose identity does not match their biological and