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Safety stock optimization under lead time ambiguity

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Bibliographic Details
Published in: Global business and finance review volume:27; month:10; year:2022; number:5; 27(2022), 5 vom: Okt., Seite 55-64; pages:55-64
Authors and Corporations: Kim, Chong Keun (Author), Kim, Pan Soo (Author), Kwon, Joon Yeop (Author)
Other Authors: Kim, Pan Soo [Author] • Kwon, Joon Yeop [Author]
Type of Resource: E-Book Component Part
Language: English
published:
2022
Series: Global business and finance review, 27(2022), 5 vom: Okt., Seite 55-64
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Source: Verbunddaten SWB
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ISSN: 2384-1648
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Description
Summary: Purpose: The purpose of this study is to investigate how ambiguity faced by the risk-neutral manager affects the firm’s optimal level of safety stock. Design/methodology/approach: This study adopts the traditional model of Arrow et al. (1951) and employ a manager who has multiple prior beliefs about the probability distribution of the lead time. Findings: This study finds that facing lead time ambiguity, the manager becomes more conservative when choosing the optimal stock level to hold and the amount of safety stock. Research limitations/implications: The future research would consider a risk-averse manager who could be compensated or punished as a result of stock management. Then the future research would examine the interactive effects of the manager’s risk aversion and lead time ambiguity on the optimal safety stock level. Originality/value: This would be the first study that investigates the effects of ambiguity on the level of safety stock.
ISSN: 2384-1648
DOI: 10.17549/gbfr.2022.27.5.55
Access: Open Access