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Katherine Kellogg. DiBenigno, Julia Marie Sloan School of Management. Sloan School of Management n-us--- 2014-07-18T20:23:26Z 2014-07-18T20:23:26Z 2014 2014 http://hdl.handle.net/1721.1/88448 881180433 Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 58-65). Scholars of work and occupations have long shown that asking members from different occupations to collaborate with one another is difficult because of differences in status, meanings, and expertise across occupational groups, but they have failed to consider how the demography of the setting affects cross-occupational collaboration. Our 12-month ethnographic study of two units in a US hospital demonstrates the importance of cross-cutting demographics and dyadic toolkits to cross-occupational collaboration. In this paper, we demonstrate that a social structure characterized by cross-cutting demographics between occupational groups (where occupational membership is uncorrelated with demographic group membership) can loosen the occupational identity and status order, thereby creating space for members of cross-occupational dyads (e.g., nurses and patient-care technicians) to draw on other shared social identities (e.g., shared race, age, immigration-status) in their interactions with one another. Drawing on a shared social identity at the dyad level provides members with alternative (nonoccupational) expertise, meanings, status rules, and emotional scripts that facilitate collaboration across occupational differences. These findings about cross-cutting demographics and dyadic toolkits have implications for research on cross-occupational collaboration and demography and intergroup relations. by Julia Marie DiBenigno. S.M. in Management Research 72 pages eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Beyond occupational differences : the importance of cross-cutting demographics and dyadic toolkits for collaboration in a US hospital Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b9456ace-766b-4831-99dd-a51d73a40427"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Beyond occupational differences : the importance of cross-cutting demographics and dyadic toolkits for collaboration in a US hospital</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2014</PublicationDate> <Authors> <Author> <DisplayName>DiBenigno, Julia Marie</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Abstract>Scholars of work and occupations have long shown that asking members from different occupations to collaborate with one another is difficult because of differences in status, meanings, and expertise across occupational groups, but they have failed to consider how the demography of the setting affects cross-occupational collaboration. Our 12-month ethnographic study of two units in a US hospital demonstrates the importance of cross-cutting demographics and dyadic toolkits to cross-occupational collaboration. In this paper, we demonstrate that a social structure characterized by cross-cutting demographics between occupational groups (where occupational membership is uncorrelated with demographic group membership) can loosen the occupational identity and status order, thereby creating space for members of cross-occupational dyads (e.g., nurses and patient-care technicians) to draw on other shared social identities (e.g., shared race, age, immigration-status) in their interactions with one another. Drawing on a shared social identity at the dyad level provides members with alternative (nonoccupational) expertise, meanings, status rules, and emotional scripts that facilitate collaboration across occupational differences. These findings about cross-cutting demographics and dyadic toolkits have implications for research on cross-occupational collaboration and demography and intergroup relations.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>