TY - GEN
T1 - Why Do Episodic Volunteers Stay in FLOSS Communities?
AU - Barcomb, Ann
AU - Stol, Klaas Jan
AU - Riehle, Dirk
AU - Fitzgerald, Brian
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Successful Free/Libre and Open Source Software (FLOSS) projects incorporate both habitual and infrequent, or episodic, contributors. Using the concept of episodic volunteering (EV) from the general volunteering literature, we derive a model consisting of five key constructs that we hypothesize affect episodic volunteers' retention in FLOSS communities. To evaluate the model we conducted a survey with over 100 FLOSS episodic volunteers. We observe that three of our model constructs (social norms, satisfaction and community commitment) are all positively associated with volunteers' intention to remain, while the two other constructs (psychological sense of community and contributor benefit motivations) are not. Furthermore, exploratory clustering on unobserved heterogeneity suggests that there are four distinct categories of volunteers: satisfied, classic, social and obligated. Based on our findings, we offer suggestions for projects to incorporate and manage episodic volunteers, so as to better leverage this type of contributors and potentially improve projects' sustainability.
AB - Successful Free/Libre and Open Source Software (FLOSS) projects incorporate both habitual and infrequent, or episodic, contributors. Using the concept of episodic volunteering (EV) from the general volunteering literature, we derive a model consisting of five key constructs that we hypothesize affect episodic volunteers' retention in FLOSS communities. To evaluate the model we conducted a survey with over 100 FLOSS episodic volunteers. We observe that three of our model constructs (social norms, satisfaction and community commitment) are all positively associated with volunteers' intention to remain, while the two other constructs (psychological sense of community and contributor benefit motivations) are not. Furthermore, exploratory clustering on unobserved heterogeneity suggests that there are four distinct categories of volunteers: satisfied, classic, social and obligated. Based on our findings, we offer suggestions for projects to incorporate and manage episodic volunteers, so as to better leverage this type of contributors and potentially improve projects' sustainability.
KW - community management
KW - episodic volunteering
KW - open source software
KW - volunteer management
UR - http://www.scopus.com/inward/record.url?scp=85072268223&partnerID=8YFLogxK
U2 - 10.1109/ICSE.2019.00100
DO - 10.1109/ICSE.2019.00100
M3 - Conference contribution
AN - SCOPUS:85072268223
T3 - Proceedings - International Conference on Software Engineering
SP - 948
EP - 959
BT - Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019
PB - IEEE Computer Society
T2 - 41st IEEE/ACM International Conference on Software Engineering, ICSE 2019
Y2 - 25 May 2019 through 31 May 2019
ER -