Who Would You Like to Work With?

Gómez-Zará, Diego; Paras, Matthew; Twyman, Marlon; Lane, Jacqueline N.; DeChurch, Leslie A.; Contractor, Noshir

doi:10.1145/3290605.3300889

Cited by 25 publications

(16 citation statements)

References 81 publications

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“…• Socio-demographic differences among team members: This includes both differences in personal traits and demographic backgrounds. For example, gender and age composition [1,41], personal traits [29], cultural background [25], social media usage of team members [14,23] are known to have a considerable impact on teamwork. • Organizational distance among team members: That is, how far away each pairs of team members are on their organizations' hierarchy chart, a diagram that lays out the reporting structure (who reports to whom) as well as peer relations (who report to the same manager) within the organization (Figure 1).…”

Section: Measuring Dimensions Of Team Dispersionmentioning

confidence: 99%

Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity

Wang,

Muller,

Yang

et al. 2021

Preprint

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Geographically dispersed teams often face challenges in coordination and collaboration, lowering their productivity. Understanding the relationship between team dispersion and productivity is critical for supporting such teams. Extensive prior research has studied these relations in lab settings or using qualitative measures. This paper extends prior work by contributing an empirical case study in a real-world organization, using quantitative measures. We studied 117 new research project teams within a company for 6 months. During this time, all teams shared one goal: submitting a research paper to a conference. We analyzed these teams' dispersion-related characteristics as well as team productivity. Interestingly, we found little statistical evidence that geographic and time differences relate to team productivity. However, organizational and functional distances are highly predictive of the productivity of the dispersed teams we studied. We discuss the open research questions these findings revealed and their implications for future research.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Haptic devices; User studies.

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Section: Measuring Dimensions Of Team Dispersionmentioning

confidence: 99%

Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity

Wang,

Muller,

Yang

et al. 2021

Preprint

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“…For example, Horwitz and Horwitz (2007) suggest teams with substantial skill diversity, Lykourentzou et al (2016) propose team compositions based on balanced personality types, and Kim et al (2017) present research on the effects of gender balancing in teams. Gómez-Zará et al (2019) further suggest using a combination of several factors, such as "warmth skills" (e.g., creativity, leadership experience, and social skills), bonding, and bridging capital to arrive at good team constellations.…”

Section: Personalization For Collaboration and The Need For A Systemamentioning

confidence: 99%

A Systematic Review of Personalized Collaborative Systems

Neumayr

Augstein

2020

Front. Comput. Sci.

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Personalization, aiming at supporting users individually, according to their individual needs and prerequisites, has been discussed in a number of domains including learning, search, or information retrieval. In the field of human–computer interaction, personalization also bears high potential as users might exhibit varying and strongly individual preferences and abilities related to interaction. For instance, there is a good amount of work on personalized or adaptive user interfaces (also under the notion of intelligent user interfaces). Personalized human–computer interaction, however, does not only subsume approaches to support the individual user, it also bears high potential if applied to collaborative settings, for example, through supporting the individuals in a group as well as the group itself (considering all of its special dynamics). In collaborative settings (remote or co-located), there generally is a number of additional challenges related to human-to-human collaboration in a group, such as group communication, awareness or territoriality, device or software tool selection, or selection of collaborators. Personalized Collaborative Systems thus attempt to tackle many of these challenges. For instance, there are collaborative systems that recommend tools, content, or team constellations. Such systems have been suggested in different domains and different collaborative settings and contexts. In most cases, these systems explicitly focus on a certain aspect of personalized collaboration support (such as team composition). This article provides a broader, concise overview of existing approaches to Personalized Collaborative Systems based on a systematic literature review considering the ACM Digital Library.

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“…More sophisticated techniques leverage machine learning and computational augmentation to shift group norms, hierarchies, composition, and member assessment [111,122]. Furthermore, team formation systems have gained ground by considering each individuals' skills, or human capital, and also their social capital which consists of previous relationships and previous experiences working together [4,33]. A group assembly approach considers individuals as component parts, and the challenge, to find the best combination of parts needed to optimize group output.…”

Section: Defining Group Formationmentioning

confidence: 99%

“…Over time, the effect will be that the "rich get richer" [1]. Those with established relations are more likely to get even more opportunities through these recommendation systems [9,33]. Further, consider the consequences to resulting group diversity [67].…”

Section: Theoretical Implicationsmentioning

confidence: 99%

“…One central aspect of groups is their formation, which refers to the mechanisms and processes explaining how and why groups form. As an example, understanding how users search for and evaluate potential partners to work with, or which online communities to join, are questions of group formation [33,124]. Whether groups involve relatively small well-bounded teams or large-scale crowd worker communities, there is a basic need to understand how technologies and organizing intersect in the formation of groups.…”

Section: Introductionmentioning

confidence: 99%

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Joining Together Online

Harris

Gómez-Zará

DeChurch

et al. 2019

Proc. ACM Hum.-Comput. Interact.

Self Cite

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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 technologyenabled 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.CCS Concepts: • Human-centered computing → Collaborative and social computing theory, concepts and paradigms.

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Who Would You Like to Work With?

Cited by 25 publications

References 81 publications

Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity

Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity

A Systematic Review of Personalized Collaborative Systems

Joining Together Online

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