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Autonomous and induced production learning under price and quality competition

机译：价格和质量竞争下的自主和诱导生产学习

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摘要

Recent empirical studies indicate that improvements in product conformance quality exhibit learning-by-doing patterns. We address quality improvement in a competitive duopoly market for partially substitutable products characterized by levels of quality that are not necessarily identical. The products' quality is described with a hazard rate that can be improved both by accumulating production experience (autonomous learning) and quality improvement efforts (induced learning). Given that defective items are fully reimbursable and the demands exhibit increasing returns to scale, we derive Nash equilibrium pricing and induced learning effort dynamic policies. We show that when the effectiveness of autonomous learning prevails over the effectiveness of efforts in induced learning, equilibrium prices gradually grow over time; the trend is quite the opposite when autonomous learning is less effective than induced learning. (C) 2018 Elsevier Inc. All rights reserved.
机译：最近的经验研究表明，产品一致性质量方面的改进体现了边做边学的模式。我们致力于解决竞争激烈的双寡头市场中质量可能不一定相同的部分可替代产品的质量提高问题。描述产品质量的危险率可以通过积累生产经验（自主学习）和质量改进工作（诱导学习）来提高。鉴于有缺陷的物品是完全可偿还的，并且需求显示出规模收益的增加，我们得出纳什均衡定价并引入学习动力动态策略。我们表明，当自主学习的有效性胜于诱导学习的努力的有效性时，均衡价格会随着时间逐渐增长；当自主学习不如诱导学习有效时，趋势就相反。 （C）2018 Elsevier Inc.保留所有权利。

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