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International Journal of Production Research Volume 57, 2019 - Issue 11
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Articles

An empirical analysis of the main drivers affecting the buyer surplus in E-auctions

Oktay KarabağCollege of Engineering, Koç University, Istanbul, TurkeyCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-9068-1991
ORCID Icon &
Barış TanCollege of Engineering, Koç University, Istanbul, Turkey;College of Administrative Sciences and Economics, Koç University, Istanbul, TurkeyORCID Iconhttp://orcid.org/0000-0002-2584-1020
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Pages 3435-3465 | Received 19 Jan 2018, Accepted 05 Oct 2018, Published online: 25 Oct 2018

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Lucas Martins Ikeziri, Fernando Bernardi de Souza, Andréia da Silva Meyer & Mahesh C. Gupta. (2023) Pulling the distribution in supply chains: simulation and analysis of Dynamic Buffer Management approach. International Journal of Systems Science: Operations & Logistics 10:1.
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Miguel Mediavilla, Kepa Mendibil & Carolina Bernardos. (2021) Making the most of game theory in the supplier selection process for complex items. Production Planning & Control 32:10, pages 845-860.
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Articles from other publishers (3)

Roberto Mora Cortez, Pablo Cabanelas & Jon Charterina. (2023) Online reverse auctions research in marketing versus SCM: A review and future directions. Industrial Marketing Management 115, pages 439-454.
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Radovan Dráb, Tomáš Štofa & Radoslav Delina. (2020) Analysis of the efficiency of electronic reverse auction settings: big data evidence. Electronic Commerce Research 22:2, pages 427-450.
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Aijun Liu, Yaxuan Xiao, Zengxian Li & Ruiyao Wang. (2021) An agent‐based multiattribute reverse auction approach for online secondhand commodities. Managerial and Decision Economics 43:1, pages 129-145.
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