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Chenchen Yang

Bio: Chenchen Yang is an academic researcher from Hefei University of Technology. The author has contributed to research in topics: Supply chain & Quality (business). The author has co-authored 1 publications.

Papers
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Journal ArticleDOI
TL;DR: In this paper, a performance-based contract between a service platform and an outsourcing partner, a vehicle manufacturer in the context of the sharing economy with application of Internet of Things is studied.
Abstract: As an emerging economic mode, the sharing economy has the advantages of improving supply capability and capital utilization. This paper studies a performance-based contract between a service platform and an outsourcing partner, a vehicle manufacturer in the context of the sharing economy with application of Internet of Things. The service platform acquires high-quality products by giving incentives to the manufacturer. To generate more profit with better service, the manufacturer not only improves the product’s performance through quality design in manufacturing but also provides exclusive maintenance in the aftermarket period with the application of Internet of Things. A performance-based contract model between the service platform and the manufacturer is designed to give decision-making suggestions for managers. Managerial implications are extracted by analyzing the operational decisions of the players. Compared with the traditional wholesale price contract, the service platform in the sharing economy can benefit more from a performance-based contract assisted with Internet of Things. The product manufacturer’s preference for a performance-based contract over a traditional wholesale price contract depends on the detailed market circumstances. Managerial guidelines are given on designing performance-based contracts for members of the supply chain.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed an intelligent supply chain supervision model by integrating supply chain finance, logistics, and pledge finance models into an operation management platform, which can effectively reduce various external risks and improve operational efficiency.
Abstract: Supply chain finance and logistics activities are developing rapidly. In the economic activities of the tripartite cooperation between financial institutions, logistics enterprises, and loan enterprises, the goods will enter the logistics and supervision links of pledged goods immediately after they are postponed. It is proposed to integrate computer network communication technologies such as the Internet of Things with supply chain finance and logistics supervision to strengthen the information interaction between suppliers, which is widely used in supply chain activities to help realize the Internet finance. An intelligent supply chain supervision can implement monitoring and early warning of the time of the pledged goods in the warehouse, in transit, and during processing. Therefore, this paper proposes an intelligent supply chain supervision model by integrating supply chain finance, logistics, and pledge finance models into an operation management platform to better promote the smooth progress of supply chain finance and logistics supervision activities, which can effectively reduce various external risks, improve operational efficiency, and provide reference for supply chain finance and logistics activities.

2 citations

Journal ArticleDOI
TL;DR: In this paper , the authors proposed a generic approach to measure the level of adoption of digital technologies in logistics processes, and investigated the relationship between the selected market trends, which are external drivers at the strategic level, and the digital maturity of logics processes.
Abstract: Logistics processes allow for the movement of goods along the supply chain to the customers. Companies are using digital solutions more widely to support their logistics processes. Current studies focus mainly on the intrinsic perspective of the digital maturity of logistics processes. Rarely do previous studies consider the impact of external factors (e.g., market trends, as external drivers at the strategic level) on the digital maturity of logistics processes. In this paper, our aim is to propose a novel generic approach to measuring the level of adoption of digital technologies in logistics processes. We applied the maturity model theory to provide a generic framework for the assessment of different partners in supply chains (suppliers, manufacturers, retailers, e-tailers, logistics service providers) in a homogeneous way. We propose the five levels (Avoiding, Discovering, Adopting, Improving, Excelling) to measure the frequency of the application of the digital technologies with high intelligence in the domain of logistics processes. Furthermore, we investigate the relationship between the selected market trends, which are external drivers at the strategic level, and the digital maturity of logics processes. We conducted the survey among a group of 38 companies to classify their maturity level and then to test which market trends motivate them to digitalize their processes. We applied Bayesian statistics to test the level of the relationship between the digitalization of logistics processes and four market trends, namely, the sustainability, e-commerce, sharing economy, and speed-orientation of customers. The results show that all the trends tested moderately and positively influence the digital maturity of logistics processes.

2 citations

Journal ArticleDOI
TL;DR: In this article , the authors developed an analytical framework consisting of two manufacturers and a sharing platform to study the effect of product sharing on competing manufacturers' entry and pricing strategies, and they found that the low-quality manufacturer will always be better off from a moderate rental price.
Abstract: Traditional manufacturers can take part in the sharing economy by renting products to consumers through sharing platforms. We develop an analytical framework consisting of two manufacturers and a sharing platform to study the effect of product sharing on competing manufacturers’ entry and pricing strategies. On the one hand, when the high-quality manufacturer works with the sharing platform, if the perceived quality of renting the high-quality product is larger than that of purchasing the low-quality product, it shows that the high-quality manufacturer will benefit and should enter the sharing market when the rental price is moderate. However, if the perceived quality of renting a high-quality product is smaller than that of purchasing a low-quality product, both manufacturers will always suffer losses; thus, the high-quality manufacturer should not provide sharing. Consequently, when the high-quality manufacturer chooses to share, the quality advantage should be maintained. On the other hand, when the low-quality manufacturer works with the sharing platform, it also finds that the low-quality manufacturer will always be better off from a moderate rental price. This implies that the low-quality OEM has more interest in offering product sharing if the perceived quality of renting high-quality product is smaller than that of purchasing low-quality product.