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Game-theoretic model demonstrates how customer quality sensitivity dictates mixed merger and bundling strategies in logistics systems, highlighting shifts in innovation effort and pricing power.
Logistics systems are increasingly organised around complementary services and platform-based bundles. In this setting, mixed mergers between firms in related logistics segments have become a key strategic option, yet their implications for innovation and pricing remain unclear. This study develops a game-theoretic model of two complementary logistics firms that choose R&D effort, decide whether to form a mixed merger, and then compete under three configurations: no merger, a mixed merger with bundling, and a mixed merger without bundling. In a baseline with symmetric, commonly known R&D costs, the preferred structure depends on how strongly customers value service quality: bundling is attractive when quality sensitivity is low, while independent operation dominates when quality is central. An extension with privately known R&D costs and surplus sharing shows that bundled mixed mergers become a more robust source of profit, but shift innovation effort and pricing power towards the advantaged firm.
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Netnapha Chamnisampan (2026) studied this question.
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