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Decision Making using Game Theory: An introduction for managers

Decision Making using Game Theory: An introduction for managers

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161Indices of power: measuring influenceTable 8.1 Summary table <strong>for</strong> ‘voluntary maintained’ boardsC pivotal L pivotal P pivotal T pivotal D pivotal TotalsSingle 0 0 0 0 0 0Two-faction 4 1 1 1 1 8Three-faction 24 3 3 3 3 36Four-faction 72 12 12 12 12 120Grand 72 12 12 12 12 120Totals 172 28 28 28 28 284Table 8.2 Shapley values <strong>for</strong> ‘voluntary maintained’ boards(s 1)!(n s)!C L P T D Totaln!Single 1/5 0 0 0 0 0 0Two-faction 1/20 4 1 1 1 1 8Three-faction 1/30 24 3 3 3 3 36Four-faction 1/20 72 12 12 12 12 120Grand 1/5 72 12 12 12 12 120Shapley values 19.0 3.15 3.15 3.15 3.15it is C. There<strong>for</strong>e, these cases reduce to the four-faction coalitionanalysis outlined already.Table 8.1 is a summary table of the extent to which each faction ispivotal in each of the Wve possible coalition sizes.The two actual power indices – the Shapley value and the Shapley–Shubik index – <strong>for</strong> each of the Wve participating factions can now becalculated.The Shapley value <strong>for</strong> each factionFor the Shapley value equation in this case, n 5 and s 1, 2, 3, 4, 5.We assume that the contribution of f i to each successful coalition inwhich it is pivotal, namely ωC ωC i, is unity; and that thecontribution of f i to each unsuccessful coalition is zero. The results aresummarised on Table 8.2.The Shapley–Shubik index <strong>for</strong> each factionThe results are summarised on Table 8.3.

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