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Kun-Shan Wu

Researcher at Tamkang University

Publications -  50
Citations -  3534

Kun-Shan Wu is an academic researcher from Tamkang University. The author has contributed to research in topics: Economic order quantity & Lead time. The author has an hindex of 24, co-authored 49 publications receiving 3160 citations.

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The association among project manager's leadership style, teamwork and project success

TL;DR: In this paper, a questionnaire-based survey was used to measure the project manager's leadership style, teamwork, and project success in terms of schedule performance, cost performance, quality performance, and stakeholder satisfaction.
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An optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand and partial backlogging

TL;DR: In this article, the optimal replenishment policy for non-instantaneous deteriorating items with stock-dependent demand is considered and the necessary and sufficient conditions of the existence and uniqueness of the optimal solution are shown.
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Mixture Inventory Model with Backorders and Lost Sales for Variable Lead Time

TL;DR: In this article, a continuous review inventory model is presented, in which both lead time and order quantity are considered as decision variables where the shortages are neglected, and the effects of parameters are also included.
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Integrating Altruism and the Theory of Planned Behavior to Predict Patronage Intention of a Green Hotel

TL;DR: In this paper, the authors describe the use of the new model of environmental behavior, which links altruism with the theory of planned behavior (TPB), to predict the relatively difficult behavioral intention of humans.
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A study on an inventory model for non-instantaneous deteriorating items with permissible delay in payments

TL;DR: The purpose of this study is to find an optimal replenishment policy for minimizing the total relevant inventory cost and developed some useful theorems to characterize the optimal solutions and provide an easy-to-use method to find the optimal replenishing cycle time and order quantity under various circumstances.