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Matthew Paras

Bio: Matthew Paras is an academic researcher from Northwestern University. The author has contributed to research in topics: Team composition. The author has an hindex of 1, co-authored 1 publications receiving 16 citations.

Papers
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Proceedings ArticleDOI
02 May 2019
TL;DR: This work describes how users' traits and social networks influence their teammate searches, teammate choices, and team composition on online platforms, and shows that what users initially search for differs from what they finally choose.
Abstract: People and organizations are increasingly using online platforms to assemble teams. In response, HCI researchers have theorized frameworks and created systems to support team assembly. However, little is known about how users search for and choose teammates on these platforms. We conducted a field study where 530 participants used a team formation system to assemble project teams. We describe how users' traits and social networks influence their teammate searches, teammate choices, and team composition. Our results show that (a) what users initially search for differs from what they finally choose: initially they search for experts and sociable users, but they are ultimately more likely to choose their prior social connections as their teammates; (b) users' decisions lead to non-diverse and segregated teams, where most of the expertise and social capital are concentrated in a few teams. We discuss the implications of these results for designing team formation systems than promote users' agency.

24 citations


Cited by
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Journal ArticleDOI
TL;DR: This section takes us from virtual teams to new vistas posed by leading online communities, crowds, peer production groups, flash teams, human-robot teams, and human-artificial intelligence teams.
Abstract: Digital technologies are changing the nature of teamwork in ways that have important implications for leadership. Though conceptually rich and multi-disciplinary, much of the burgeoning work on technology has not been fully integrated into the leadership literature. To fill this gap, we organize existing work on leadership and technology, outlining four perspectives: (1) technology as context, (2) technology as sociomaterial, (3) technology as creation medium, and (4) technology as teammate. Each technology perspective makes assumptions about how technologies affect teams and the needs for team leadership. Within each perspective, we detail current work on leading teams. This section takes us from virtual teams to new vistas posed by leading online communities, crowds, peer production groups, flash teams, human-robot teams, and human-artificial intelligence teams. We identify 12 leadership implications arising from the ways digital technologies affect organizing. We then leverage our review to identify directions for future leadership research and practice.

94 citations

MonographDOI
01 Jan 1994

25 citations

Journal ArticleDOI
07 Nov 2019
TL;DR: The trajectory of scholarship on group formation is outlined with an eye towards the most pressing future questions in this area, and recommendations for the next generation of CSCW scholarship seeking to understand and enable collectives joining together online are offered.
Abstract: The field of Computer Supported Cooperative Work (CSCW) has an enduring interest in studying and designing technologies that bring people together in partnerships, teams, crowds, communities, and other collectives. As the technologies enabling group formation have evolved, so too have the guiding questions pursued by CSCW scholars. This review outlines the trajectory of scholarship on group formation with an eye towards the most pressing future questions in this area. To understand how CSCW researchers have studied technology-enabled group formation, we systematically review articles published at CSCW from 1992 to 2018. Exploring more than 2,000 potentially relevant works, we identified 35 focused on technologies and group formation. Content coding and thematic analysis revealed four periods and six themes in the study of online group formation. These themes include: group composition, self-presentation, assembly mechanisms, recruitment, organizing structures, and group culture. Quo vadis? Based on our review, we offer recommendations for the next generation of CSCW scholarship seeking to understand and enable collectives joining together online.

20 citations

Journal ArticleDOI
14 Oct 2020
TL;DR: A taxonomy is proposed to characterize how systems influence team assembly, arguing that two dimensions determine how systems shape team assembly: users?
Abstract: The emergence of team-assembly technologies has brought with it new challenges in designing and implementing socio-technical systems. Our understanding of how systems shape the team-assembly processes is still limited. How do systems enable users to find teammates? How do users make decisions when using these systems? And what factors explain the characteristics of the teams assembled? Building on existing literature from CSCW, computer science, and management science, we propose a taxonomy to characterize how systems influence team assembly. This taxonomy argues that two dimensions determine how systems shape team assembly: (i) users? agency, to what extent the system enables its users to exercise their agency, and (ii) users? participation, how many users the system allows to participate in the team-formation process. The intersection of these two dimensions manifest four types of teams enabled by systems: self-assembled teams, staffed teams, optimized teams, and augmented teams. We characterize each one of these types of teams, considering their qualities, advantages, and challenges. To contextualize these types of teams, we map the current literature of team-assembly systems using a scoping literature review. Lastly, we discuss ways through which these two dimensions alter users' behavior, team diversity, and team composition. This paper provides theoretical implications and research questions for future systems that reconfigure the organization of people into teams.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extend Hinds et al.'s (2000) influential model of team member selection by incorporating online recommender systems, and show that the invitation network is predicted by online recommendations, beyond previously established effects of prior collaboration/familiarity, skills/competence, and homophily.

6 citations