2017
DOI: 10.1016/j.orl.2017.10.006
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The role of business insurance in managing a manufacturer’s product quality risk

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Cited by 6 publications
(11 citation statements)
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References 13 publications
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“…Yang et al (2021) explore the role of cancelability in trade credit insurance and its operational implications. Our paper is most closely related to Chen et al (2017), Chen et al (2021), andSerpa andKrishnan (2017), who also study the role of insurance on managing quality risk. Serpa and Krishnan (2017) examine how business insurance can be strategically used as a commitment mechanism to prevent excessive free-riding of quality improvement in a multifirm setting.…”
Section: Literature Reviewmentioning
confidence: 80%
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“…Yang et al (2021) explore the role of cancelability in trade credit insurance and its operational implications. Our paper is most closely related to Chen et al (2017), Chen et al (2021), andSerpa andKrishnan (2017), who also study the role of insurance on managing quality risk. Serpa and Krishnan (2017) examine how business insurance can be strategically used as a commitment mechanism to prevent excessive free-riding of quality improvement in a multifirm setting.…”
Section: Literature Reviewmentioning
confidence: 80%
“…Our paper complements the aforementioned literature by focusing on how risk aversion affects a manufacturer's preference on the strategies of managing product quality risk. Chen et al (2017) investigate how business insurance helps risk-averse manufacturers hedge product quality risk. However, they exclude the operational strategy to isolate its effect and concentrate on the role of business insurance.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The pure premium represents the expected compensation to the farmer, and management fees and risk additional premium accounts for costs that are proportional to the pure premium. Therefore, based on the actuarially fair principle [14,19,53], the yield uncertainty premium per unit area satisfies…”
Section: Notations and Model Setupmentioning
confidence: 99%