Knowledge-driven Fuzzy Consensus Model for Team Formation

2021 ◽  
pp. 115522
Author(s):  
Giuseppe D’Aniello ◽  
Matteo Gaeta ◽  
Mario Lepore ◽  
Maria Perone
Author(s):  
Martin Ganco ◽  
Florence Honoré ◽  
Joseph Raffiee

This chapter provides a review of the scholarly literature on entrepreneurial teams and team formation. It pays special attention to two emerging areas of research that present many promising opportunities for future work. First, the chapter discusses the role of resource transfer in the context of start-up firms. It argues that an understanding of the antecedents and consequences of the founding process would be significantly advanced by more explicit theorizing and effort to empirically identify the specific types of resources entrepreneurial team members bring to start-up firms. It highlights one recent advancement in this space—work that has focused on a team’s ability to transfer customer and client relationships from the parent to start-up firms—and provides an outline of open research questions in this realm. Second, the chapter provides a primer on a recent methodological advancement—the use of two-sided assortative matching models—that can be applied to entrepreneurial team assembly to alleviate ongoing concerns that team formation is fundamentally an endogenous process. It demonstrates how these models can be applied using a wide variety of founder, cofounder, and early team member attributes, including an individual’s ability to transfer customer relationships. Importantly, it proposes that synergies emerging from the use of two-sided assortative matching models to study a broader set of team member attributes that include resource transfer will open promising new avenues for future research.


2019 ◽  
Vol 490 (1) ◽  
pp. 202-218 ◽  
Author(s):  
Andrew Swan ◽  
Jay Farihi ◽  
Detlev Koester ◽  
Mark Hollands ◽  
Steven Parsons ◽  
...  

ABSTRACT Nine metal-polluted white dwarfs are observed with medium-resolution optical spectroscopy, where photospheric abundances are determined and interpreted by comparison with Solar system objects. An improved method for making such comparisons is presented, which overcomes potential weaknesses of prior analyses, with numerous sources of error considered to highlight the limitations on interpretation. The stars are inferred to be accreting rocky, volatile-poor asteroidal materials with origins in differentiated bodies, in line with the consensus model. The most heavily polluted star in the sample has 14 metals detected, and appears to be accreting material from a rocky planetesimal, whose composition is mantle-like with a small Fe–Ni core component. Some unusual abundances are present. One star is strongly depleted in Ca, while two others show Na abundances elevated above bulk-Earth abundances; it is speculated that either the latter reflect diversity in the formation conditions of the source material, or they are traces of past accretion events. Another star shows clear signs that accretion ceased around 5 Myr ago, causing Mg to dominate the photospheric abundances, as it has the longest diffusion time of the observed elements. Observing such post-accretion systems allows constraints to be placed on models of the accretion process.


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