Track Information

Diversity & Inclusion


Hajer Kefi


The research on diversity and inclusion in the Management Information Systems (MIS) field has explored different IT-enabled practices and processes that help value all the individual attributes and recognize their differences as a richness to be leveraged in order to gain positive outcomes in the organizations and the society. Diversity characteristics are often divided into four areas: personality (e.g., traits, skills, and abilities), internal characteristics (e.g., gender, race, ethnicity, sexual orientation), external characteristics (e.g., national culture, religion, marital status), and organizational characteristics (e.g., position, department, responsibilities). Fair and equal access to digital and technological devices for all categories and their engagement in the innovation and transformative eco-systems have triggered an important body of research that has nowadays to be extended to provide a deeper understanding of the new digital era challenges. It is for example important to investigate whether artificial intelligence, machine-learning and algorithmic systems enhance or at the opposite transform the exiting social control structures toward designing less discriminatory environments.


Topics to be discussed in this track include (but are not limited to) the following:

·         IT-enabled Diversity Strategies

·         Social Inclusion in Innovation Ecosystems

·         Ethics of Data Analytics in  Diversity & Inclusion studies

·         Inclusive Digital Transformation

·         Gender, Ethnicity and Differently-abled  Specificities and Algorithmic Bias

·         Gender Gap in the Management Information Systems Field

·         Digital Divide and Multicultural Settings

·         Algorithmic Literacy