2021
DOI: 10.1287/orsc.2020.1406
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Bridging Temporal Divides: Temporal Brokerage in Global Teams and Its Impact on Individual Performance

Abstract: Members of global teams are often dispersed across time zones. This paper introduces the construct of temporal brokerage, which we define as being in a position within a team’s temporal structure that bridges subgroups that have little or no temporal overlap with each other. Although temporal brokerage is not a formal role, we argue that occupying such a position makes an individual more likely to take on more coordination work than other members on the team. We suggest that, while engaging in such coordinatio… Show more

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Cited by 27 publications
(23 citation statements)
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References 103 publications
(100 reference statements)
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“…Today, more than ever before, organizations are increasingly reliant on teams that consist of members that are geographically and culturally dispersed (Mell et al, 2021). The divergent cultural orientation of global team members has the potential to impinge teamwork (Gibbs et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Today, more than ever before, organizations are increasingly reliant on teams that consist of members that are geographically and culturally dispersed (Mell et al, 2021). The divergent cultural orientation of global team members has the potential to impinge teamwork (Gibbs et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…First, we highlight a new channel through which collaboration can negatively affect creative output quality. Research on the cost of collaboration has focused on the frictions embedded within the collaboration process, producing a rich literature that has highlighted a variety of mechanisms such as free-riding (Levine and Prietula 2013), coordination costs (Mell, Jang, and Chai 2020), conflict (Hinds and Bailey 2003), or groupthink (Godart, Shipilov, and Claes 2013). Rather than examining the process of collaboration, we show that the decision to engage in collaboration in the first place can be influenced by the misalignment of individual-and output-level incentives.…”
Section: Introductionmentioning
confidence: 92%
“…Additional studies have compared expert human scorers to AutoIC and shown continued positive results -indeed, in each case, the human-AutoIC correlation was greater than in the original Conway et al (2014) paper (Conway et al, 2020;Houck et al, 2018;McCullough & Conway, 2018a;Prinsloo, 2016). Further, AutoIC has been used in multiple studies across a wide variety of domains to produce theoretically-interpretable findings, including in the domains of organizational science (Mell et al, 2021), forecasting (Karvetskia et al, in press), terrorism (Houck et al, 2017;Putra et al, 2018), fictional versus real dialogue (McCullough & Conway, 2018a), decision-making (Prinsloo, 2016), the film industry (McCullough & Conway, 2018b), video game dialogue (McCullough, 2019), fan fiction (McCullough, 2019), religion (Houck et al, 2018), social media (McCullough & Conway, 2019), and trial outcomes (Zubrod et al, 2021). Also, a recent set of studies revealed that AutoIC showed similar across-domain and across-time correlations as human-scored IC (Conway & Woodard, 2019).…”
Section: Automated Integrative Complexitymentioning
confidence: 99%