2019
DOI: 10.1016/j.jebo.2019.03.011
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The common enemy effect under strategic network formation and disruption

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Cited by 12 publications
(12 citation statements)
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“…Our measure of risk attitudes, as introduced by Holt and Laury [27], results in nine categories of risk aversion. 17 We thus categorize subjects ranging from nine or 10 risky choices (highly risk loving) to zero or one risky choices (very highly risk averse). The results presented in Table 3 show that most of the subjects were risk averse.…”
Section: Description Of Subject and Group Variablesmentioning
confidence: 99%
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“…Our measure of risk attitudes, as introduced by Holt and Laury [27], results in nine categories of risk aversion. 17 We thus categorize subjects ranging from nine or 10 risky choices (highly risk loving) to zero or one risky choices (very highly risk averse). The results presented in Table 3 show that most of the subjects were risk averse.…”
Section: Description Of Subject and Group Variablesmentioning
confidence: 99%
“…Next to pure network formation models, increasing attention has been paid in recent years to models of network disruption (see, e.g., Hoyer and De Jaegher [11], Hoyer and De Jaegher [12] Dziubiński and Goyal [13], Dziubiński and Goyal [14], Goyal and Vigier [15], Haller [16] or Haller and Hoyer [17]). These theoretical models build on the benchmark models of network formation, adding an understanding of how the incentives of players in the network formation model might be altered, if they know that the network will be attacked by outside forces after it has been built.…”
Section: Introductionmentioning
confidence: 99%
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“…The analysis of the dimensions of group work is a topic of the current study (Haller and Hoyer, 2019). Two relevant dimensions of group work, cooperation and transfer of information, have been identified (Zschocke et al , 2016).…”
Section: Introductionmentioning
confidence: 99%
“…They analyze both cases of node deletion and link deletion. Exceptionally, Haller and Hoyer [6] is a decentralized network formation model just like Jun and Kim [1], but it assumes no information decay, either. It uses the solution concept of Nash stability, whereas Jun and Kim [1] proposes a new solution concept of C q -stability which shares the spirit of pairwise stability but is stronger than that.…”
Section: Introductionmentioning
confidence: 99%