Search results

A recent study reported Black women are frequently labeled unprofessional due to hair presentation, 1.5 times more likely to be sent home citing “unprofessional hair,” and 80% likely to alter their natural hair texture (Dove, 2019) through chemicals or heat to fit into organizational norms. Meanwhile, conversations about hair discrimination and bias remain whispers in The Ivory Tower. Despite this study, contemporary research regarding higher education and the politics of Black women, Black hair, and hair texture is sparse. The lack of representation in higher education organizations and lack of literature suggest that Black, higher education professional women are at risk of experiencing chilly work environments that could impact belonging, career trajectory, and earning potential. Some individuals outside the African Diaspora may consider the notion of a physical characteristic, like hair, to be insignificant, let alone a salient identity for Black women. However, my experience as a higher education practitioner and scholar states differently. I assert higher education institutions continue to perpetuate and reproduce oppressive dynamics that specifically target Black women and Black hair when hair discrimination and bias are left out of the conversation to address diversity and inclusion concerns. This chapter introduces a historical context of Black hair discrimination; explores my lived experiences navigating Black hair, hair texture, and professionalism in higher education; outlines challenges for higher education institutions and prioritizes Black women alongside diversity and inclusion efforts.

The experience of going natural or deciding to rock an afro, wash-n-go, twist-out, or braided updo on a campus where similar faces are rarely seen in the classroom, in the residence hall, or even in the nearby local community can be one fraught with numerous personal and political identity tensions. Nonetheless, this is the experience for many Black women collegians, both undergraduate and graduate, who choose to wear their natural hair in its kinky, curly, coily, or afro-textured state while in college. Through an intersectional perspective we examine the stories of six Black women and their experiences with their hair, identities, and community as they transitioned to wearing their natural hair. Through this study we center the bodies, voices, and needs of Black women as they navigate the complexities of thriving in a Eurocentric environment (i.e., a predominantly white university). This chapter ends with a call for greater attention to the meaningfulness of Black women's hair and a discussion of strategies for campus agents to more intentionally support Black women throughout their development in college.

Based on literature providing evidence that Afrocentric hairstyles (e.g. afros, braids, dreadlocks) of Black women working in professional settings are often associated with negative stereotypes and biases regarding competency and professionalism, this chapter examines the extent to which these biases may be influencing the hairstyle choices of Black women employed in higher education. While academic workplaces tend to be more flexible and informal than non-academic settings, we found many Black women in higher education are, nonetheless, choosing to wear Eurocentric hairstyles. However, choice of hairstyle was influenced by academic discipline, type of institution and level in the university hierarchy.

In recent years, the use of structural equation modeling (SEM) has become widespread in tourism and hospitality research. Because there are two different approaches to SEM (i.e., covariance-based SEM and variance-based, partial least squares SEM), this brings challenges for researchers about which SEM to use and what to report in each SEM approach. Therefore, the purpose of this chapter is to discuss the differences between CB-SEM and PLS-SEM and to provide comprehensive guidelines for researchers on how to apply each SEM. Within this context, the authors first briefly summarize the fundamentals and advantages of using SEM. Then, the authors explain in detail the major issues that should be considered when selecting between CB-SEM and PLS-SEM. Finally, to ensure rigorous research practices, the authors provide step-by-step guidelines for the application of both CB-SEM and PLS-SEM.