TY - JOUR
T1 - Bias in context: Small biases in hiring evaluations have big consequences.
JF - Journal of Management
Y1 - 2021
A1 - Hardy,Jay
A1 - Tey,K. S.
A1 - Wilson,Cyrus
A1 - Martell,Richard
A1 - Olstad,Andrew
A1 - Uhlmann,Eric Luis
KW - Business Analytics
KW - Management
AB - It is widely acknowledged that subgroup bias can influence hiring evaluations. However, the notion that bias still threatens equitable hiring outcomes in modern employment contexts continues to be debated, even among organizational scholars. In this study, we sought to contextualize this debate by estimating the practical impact of bias on real-world hiring outcomes (a) across a wide range of hiring scenarios and (b) in the presence of diversity-oriented staffing practices. Toward this end, we conducted a targeted meta-analysis of recent hiring experiments that manipulated both candidate gender and qualifications to couch our investigation within ongoing debates surrounding the impact of small amounts of bias in otherwise meritocratic hiring contexts. Consistent with prior research, we found evidence of small gender bias effects (d = −0.30) and large qualification effects (d = 1.61) on hiring managers’ evaluations of candidate hireability. We then used these values to inform the starting parameters of a large-scale computer simulation designed to model conventional processes by which candidates are recruited, evaluated, and selected for open positions. Collectively, our simulation findings empirically substantiate assertions that even seemingly trivial amounts of subgroup bias can produce practically significant rates of hiring discrimination and productivity loss. Furthermore, we found contextual factors can alter but cannot obviate the consequences of biased evaluations,
UR - https://doi.org/10.1177/0149206320982654
U2 - a
U4 - 160503580672
ID - 160503580672
ER -
TY - HEAR
T1 - THOUGHT-LEADERS" ON GENDER BIAS IN THE WORKPLACE
Y1 - 2015
A1 - Martell,Richard
KW - Management
JA - CATALYST MEETING OF "THOUGHT-LEADERS" ON GENDER BIAS IN THE WORKPLACE
CY - NEW YORK
U2 - c
U4 - 107349737472
ID - 107349737472
ER -
TY - HEAR
T1 - What Role Do Men Play in Women's Leadership Development?
Y1 - 2015
A1 - Martell,Richard
KW - Management
JA - Academy of Management Annual Meeting
CY - Vancouver, Canada
U2 - c
U4 - 107335641088
ID - 107335641088
ER -
TY - HEAR
T1 - The adverse effects of implicit bias and micro-inequities in the workplace: Much ado about something
Y1 - 2013
A1 - Martell,Richard
KW - Management
JA - Sixth Annual Southern Utah Federal Law Symposium
CY - St. George Utah
U2 - c
U4 - 87946975232
ID - 87946975232
ER -
TY - HEAR
T1 - A multilevel emergent theory of gender segregation in organizations.
Y1 - 2013
A1 - Martell,Richard
KW - Management
JA - 2013 Academy of Management Annual Meeting
CY - Orlando, Florida
U2 - c
U4 - 87946838016
ID - 87946838016
ER -
TY - JOUR
T1 - From bias to exclusion: A multilevel emergent theory of gender segregation in organizations. Research in Organization Behavior, 32, 137-162.
JF - Research in Organizational Behavior
Y1 - 2012
A1 - Martell,Richard
KW - Management
AB - From bias to exclusion: A multilevel emergent theory of gender segregation in organizations
2012
Richard F. Martell | Cynthia G. Emrich | James Robison-Cox
Abstract: This article presents a multilevel emergent theory of organizational segregation linking gender bias in performance assessment (a micro-level phenomenon) to gender segregation in organizations (a macro-level phenomenon). Based on an integration of multilevel research, emergence and signaling theory, we propose the following: (a) gender segregation in organizations is an emergent phenomenon that arises from the collective behavior of individuals who express only a small bias in favor of males, in concert with the signals governing promotion decisions and organizational mobility; (b) the emergence of a gender-segregated organization is often unintentional and the bottom–up and top–down processes that produce segregation are difficult to see; and (c) agent-based modeling is especially well-suited for illuminating the dynamics of bias that produce gender-segregated organizations. This multilevel emergent-based theory contributes to the research literature on organizational stratification by: (a) revealing the manner in which micro-level and macro-level forces conspire, oftentimes unwittingly, to produce gender-segregated organizations; (b) providing new and very different directions for future research on gender segregation that rely on agent-based modeling; and, most importantly, (c) moving a 30-year debate over the “real-world” impact of gender bias that continues to occupy the field of human resource management and, most recently, Supreme Court justices on to more fertile ground.
CY - Elsevier
VL - 32
UR - http://www.journals.elsevier.com/research-in-organizational-behavior/
U2 - a
U4 - 87911841792
ID - 87911841792
ER -
TY - HEAR
T1 - Linking bias to exclusion using computational modeling.
Y1 - 2012
A1 - Martell,Richard
KW - Management
CY - Winnipeg, Canada
U2 - c
U4 - 87947063296
ID - 87947063296
ER -