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Building Social Legoland Through Col...

Wang, Rong.

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Building Social Legoland Through Collaborative Crowdsourcing: Marginality, Functional Diversity, and Team Success.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building Social Legoland Through Collaborative Crowdsourcing: Marginality, Functional Diversity, and Team Success./
Author:	Wang, Rong.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	157 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-06(E), Section: A.
Contained By:	Dissertation Abstracts International79-06A(E).
Subject:	Mass communication. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=11016140

Building Social Legoland Through Collaborative Crowdsourcing: Marginality, Functional Diversity, and Team Success.
Wang, Rong.

Building Social Legoland Through Collaborative Crowdsourcing: Marginality, Functional Diversity, and Team Success. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 157 p.

Source: Dissertation Abstracts International, Volume: 79-06(E), Section: A.

Thesis (Ph.D.)--University of Southern California, 2016.

This dissertation examines crowdsourcing in the context of solving social development issues, through the lens of team collaboration. The goals are twofold. First, guided by a network perspective it aims to uncover the team dynamics of collaborative crowdsourcing. Specifically, it examines how marginality and preferential attachment influence collaboration patterns among members of a crowd. Second, it investigates how to leverage benefits of team collaboration through the lens of team diversity. It draws from the literature on team diversity and Group Faultline theory to investigate what team compositions can lead to better team performance. With data scraped from a global crowdsourcing community, Openideo, this dissertation employed large-scale behavioral data at the individual user level and team level to test the hypotheses. Exponential random graph modeling (ERGM) was used to analyze user level data in Study 1 and logistic regression was used to analyze team level data in Study 2. Results in Study 1 show that certain dimensions of marginality significantly influence how people choose team members to collaborate and solve social problems collectively, such as individual's project evaluation skills, collaboration skills, and their network positions. Study 1 also shows that there were are influential members who are more likely to be chosen in teams due to their geolocation in main innovation centers, experience in creating teams, number of unique connections with others, and crowdsourcing winning experience in the community. Study 2 found that demographic diversity measures such as evaluation skills diversity and winning experience help improve team performance. It also found that team diversity in terms of geographic diversity does not generate disruptive influences on a team's success. However, team diversity from members' community tenure could activate team faultlines and lead to lower team performance. A practical implication of the two studies is that innovating organizations or a crowdsourcing community should apply certain strategies to integrate newcomers and sustain user contributions to achieve their social goals. A second implication is that network intervention strategies should be applied to facilitate fluid collaboration across sub-communities in Openideo. The third implication is that to build a winning team, we need to be aware that the effect of diversity is context specific. Discussion on how to leverage the benefits of diversity while avoiding the disruptive influences that may come along is provided.Subjects--Topical Terms:

2144804
Mass communication.

Building Social Legoland Through Collaborative Crowdsourcing: Marginality, Functional Diversity, and Team Success.
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