TY - JOUR
T1 - Blockchain-empowered Newsvendor optimization
AU - Chang, Jasmine (Aichih)
AU - Katehakis, Michael N.
AU - Shi, Jim (Junmin)
AU - Yan, Zhipeng
N1 - Funding Information:
The authors acknowledge the support for this work from the National Science Foundation, NSF grant CMMI-1662629 . In addition, the authors are indebted to the Guest Editors for inviting to submit the article and the three referees for many constructive comments and useful suggestions. This research is supported by Leir Research Institute at NJIT. The third author is supported by the Hurlburt Chair endownment at NJIT .
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/8
Y1 - 2021/8
N2 - Technology has been widely adopted as a backbone for supply chain management, especially in the context of retailing. For example, Blockchain Technology (BCT) has been embraced as a disruptive technology, though it is still in a nascent stage. This study examines the technology adoption for Newsvendor model (a.k.a Newsboy), as exemplified by a blockchain system. It aims to shed light on how BCT adoption impacts the optimal ordering decisions and the corresponding optimal profit. Importantly, we investigate the optimal adoption of technology for profit optimization while considering the adoption cost. As a result, we visualize how technology adoption shifts the curve. For some selected demand types (e.g., Uniform and Normal distributions) and the Cobb-Douglas cost function, we derive closed-form expressions for the optimal decisions, based on which some useful insights have been developed. Although high adoption of BCT leads to higher demand and lower ordering cost, some counter-intuitive examples have been devised to reveal that the increase in adoption degree might lower the optimal order quantity and it is not always profitable to adopt a higher BCT even if there is no adoption cost. Finally, a sequence of numerical studies complements our analytical results with rich and useful insights.
AB - Technology has been widely adopted as a backbone for supply chain management, especially in the context of retailing. For example, Blockchain Technology (BCT) has been embraced as a disruptive technology, though it is still in a nascent stage. This study examines the technology adoption for Newsvendor model (a.k.a Newsboy), as exemplified by a blockchain system. It aims to shed light on how BCT adoption impacts the optimal ordering decisions and the corresponding optimal profit. Importantly, we investigate the optimal adoption of technology for profit optimization while considering the adoption cost. As a result, we visualize how technology adoption shifts the curve. For some selected demand types (e.g., Uniform and Normal distributions) and the Cobb-Douglas cost function, we derive closed-form expressions for the optimal decisions, based on which some useful insights have been developed. Although high adoption of BCT leads to higher demand and lower ordering cost, some counter-intuitive examples have been devised to reveal that the increase in adoption degree might lower the optimal order quantity and it is not always profitable to adopt a higher BCT even if there is no adoption cost. Finally, a sequence of numerical studies complements our analytical results with rich and useful insights.
KW - Blockchain
KW - Newsvendor
KW - Stochastic monotonicity
KW - Tech-savvy consumers
KW - Technology adoption
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U2 - 10.1016/j.ijpe.2021.108144
DO - 10.1016/j.ijpe.2021.108144
M3 - Article
AN - SCOPUS:85106319028
SN - 0925-5273
VL - 238
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 108144
ER -