Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE. / Matthiesen, Stina; Bjorn, Pernille; Trillingsgaard, Claus.

ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering. Association for Computing Machinery, 2020. p. 22-32.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Matthiesen, S, Bjorn, P & Trillingsgaard, C 2020, Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE. in ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering. Association for Computing Machinery, pp. 22-32, 15th International Conference on Global Software Engineering - ICGSE '20, Seoul, Korea, Republic of, 05/10/2020. https://doi.org/10.1145/3372787.3390432

APA

Matthiesen, S., Bjorn, P., & Trillingsgaard, C. (2020). Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE. In ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering (pp. 22-32). Association for Computing Machinery. https://doi.org/10.1145/3372787.3390432

Vancouver

Matthiesen S, Bjorn P, Trillingsgaard C. Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE. In ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering. Association for Computing Machinery. 2020. p. 22-32 https://doi.org/10.1145/3372787.3390432

Author

Matthiesen, Stina ; Bjorn, Pernille ; Trillingsgaard, Claus. / Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE. ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering. Association for Computing Machinery, 2020. pp. 22-32

Bibtex

@inproceedings{19a1efdacd8945ac9165f564cca102f0,
title = "Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE",
abstract = "Despite the prevalence of global software Engineering (GSE), many companies continuously struggle to collaborate across geographical distance, nationalities, and languages. Prior research documents how the use of national cultural differences as an argument for failed collaboration is common amongst people working in GSE, which has made IT companies blind to the fundamental challenges of GSE work emerging upon the conditions for the actual conduct of work and practices undertaken by human actors. Based on an interventionist ethnographic study conducted within a Danish IT company, we present the results of attending to implicit bias as an approach to combat pervasive practices that deploy static cultural narratives and negative stereotypes in GSE. We find that implicit bias is a useful grip for moving discussions beyond negative cultural rhetoric and to reconsider the actual and locally situated collaboration-related problems that exist within organizations involved in GSE.",
author = "Stina Matthiesen and Pernille Bjorn and Claus Trillingsgaard",
year = "2020",
doi = "10.1145/3372787.3390432",
language = "English",
pages = "22--32",
booktitle = "ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering",
publisher = "Association for Computing Machinery",
note = "15th International Conference on Global Software Engineering - ICGSE '20 ; Conference date: 05-10-2020 Through 06-10-2020",

}

RIS

TY - GEN

T1 - Attending to Implicit Bias as a Way to Move Beyond Negative Stereotyping in GSE

AU - Matthiesen, Stina

AU - Bjorn, Pernille

AU - Trillingsgaard, Claus

PY - 2020

Y1 - 2020

N2 - Despite the prevalence of global software Engineering (GSE), many companies continuously struggle to collaborate across geographical distance, nationalities, and languages. Prior research documents how the use of national cultural differences as an argument for failed collaboration is common amongst people working in GSE, which has made IT companies blind to the fundamental challenges of GSE work emerging upon the conditions for the actual conduct of work and practices undertaken by human actors. Based on an interventionist ethnographic study conducted within a Danish IT company, we present the results of attending to implicit bias as an approach to combat pervasive practices that deploy static cultural narratives and negative stereotypes in GSE. We find that implicit bias is a useful grip for moving discussions beyond negative cultural rhetoric and to reconsider the actual and locally situated collaboration-related problems that exist within organizations involved in GSE.

AB - Despite the prevalence of global software Engineering (GSE), many companies continuously struggle to collaborate across geographical distance, nationalities, and languages. Prior research documents how the use of national cultural differences as an argument for failed collaboration is common amongst people working in GSE, which has made IT companies blind to the fundamental challenges of GSE work emerging upon the conditions for the actual conduct of work and practices undertaken by human actors. Based on an interventionist ethnographic study conducted within a Danish IT company, we present the results of attending to implicit bias as an approach to combat pervasive practices that deploy static cultural narratives and negative stereotypes in GSE. We find that implicit bias is a useful grip for moving discussions beyond negative cultural rhetoric and to reconsider the actual and locally situated collaboration-related problems that exist within organizations involved in GSE.

U2 - 10.1145/3372787.3390432

DO - 10.1145/3372787.3390432

M3 - Article in proceedings

SP - 22

EP - 32

BT - ICGSE '20: Proceedings of the 15th International Conference on Global Software Engineering

PB - Association for Computing Machinery

T2 - 15th International Conference on Global Software Engineering - ICGSE '20

Y2 - 5 October 2020 through 6 October 2020

ER -

ID: 238485972