Junren Ming
Wuhan Institute of Technology
6 Papers
Junren Ming is an academic researcher from Wuhan Institute of Technology. The author has contributed to research in topics: Computer science & Agency (philosophy). The author has an hindex of 1, co-authored 1 publications.
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Papers
Impact of the introduction of marketplace channel on e‐tailer's logistics service strategy
TL;DR: Zhang et al. as mentioned in this paper investigated the e-tailer's logistics service strategy in the presence of the marketplace channel's introduction and revealed that the cost of logistics service plays a major role in determining the optimal logistics strategy.
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Factors Influencing User Behavior Intention to Use Mobile Library Application: A Theoretical and Empirical Research based on Grounded Theory
Junren Ming,Rong Chen,Ruide Tu +2 more
- 01 Jan 2021
TL;DR: This study experimentally manipulates user behavior intention to use mobile library application related to the survey questionnaire that was designed to obtain data from college teachers and students to show that system feature and interface feature are the external driver of user's usage behavior intention.
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Regularity Index of Uncertain Random Graph
TL;DR: In this paper , the authors investigated the regularity index of an uncertain random graph within the framework of chance theory and information asymmetry theory and proposed an adjacency matrix-based algorithm to compute the k-regularity index.
How Do Consumer Fairness Concerns Affect an E-Commerce Platform's Choice of Selling Scheme?
TL;DR: Considering consumer fairness concerns, the authors investigates an e-commerce platform's selling scheme choice when it adopts a wholesale selling scheme or an agency selling scheme to create a contract with a manufacturer.
Collaborative Innovation Mechanism of Water Pollution Control Industry Chain Based on Complex Scientific Management
Quan Yuan,Ting Peng,Junren Ming +2 more
TL;DR: Wang et al. as discussed by the authors proposed a research method of collaborative innovation mechanism of water pollution treatment industry chain based on complex scientific management, and the experimental results show that the proposed method can bring high economic benefits in the stage of source emission reduction, process interruption, and end treatment.