Zhe Yuan

@article{hu_2113,

title = {The horizontal and vertical coordination of policy mixes for industrial upgrading in China: an ambidexterity perspective},

author = {Zhiming HU and Jie Xiong and JIE YAN and Zhe Yuan and Shubho Chakraborty},

url = {https://www.tandfonline.com/doi/full/10.1080/00343404.2023.2167970},

year  = {2023},

date = {2023-02-01},

journal = {Regional Studies},

abstract = {The established literature demonstrates the critical role of the policy mix in the formulation and implementation of government policies for industrial upgrading. However, existing studies mainly examine the policy mix from either a horizontal or a vertical coordination perspective; very few examine both dimensions. To gain further insights, the current study involves an analysis of how China's central government manages horizontal and vertical coordination to pursue upgrading in manufacturing industries on the basis of an ambidextrous policy mix perspective and a thorough examination of both the external attributes (i.e., policy level) and content (i.e., policy instruments and themes) of policy documents. This analysis reveals several viable policy implications in relation to China's manufacturing transformation. In particular, it finds that China's policy mix for achieving manufacturing upgrading is highly coordinated on both horizontal and vertical dimensions. Governments at all levels apply the same set of policy instruments; environmental instruments are the most frequently used, followed by supply- and demand-side instruments. The core policy topics within the manufacturing upgrading structure include innovation, industrial transformation, industrial agglomeration, demonstration projects and service-oriented manufacturing. Therefore, this study establishes recommendations for future policies, which should focus on reinforcing guidance regarding national policies, encouraging local governments to apply innovative policy tools and increasing the use of demand-side policy instruments.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{wang_2047,

title = {The impact of servitization on trade credit in manufacturing firms: a signaling theory perspective},

author = {Weijiao Wang and Shanshan Chen and Jinan Shao and Junfei Chu and Zhe Yuan},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJOPM-02-2022-0100/full/html},

year  = {2023},

date = {2023-02-01},

journal = {International Journal Of Operations & Production Management},

volume = {43},

number = {2},

pages = {373-398},

abstract = {Purpose

The aim of this study is to empirically test the link between servitization and trade credit in manufacturing firms as well as the boundary conditions of this link.



Design/methodology/approach

Using a unique dataset of 4,974 observations covering 838 manufacturing firms publicly listed in the United States during 1990-2020, this study examines the impact of servitization on trade credit and the moderating impacts of financial slack and service relatedness based on fixed-effect regression models.



Findings

The authors find that servitization shows a U-shaped relationship with trade credit. Besides, financial slack negatively moderates this U-shaped relationship whereas service relatedness has no significant impact on this relationship.



Originality/value

This paper is the first to empirically verify the influence of servitization on trade credit in manufacturing firms based on longitudinal secondary data and signaling theory. The research findings can provide several important theoretical and managerial implications for scholars and practitioners in operations management.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiong_2081,

title = {Technological Uncertainty and Catch-Up Patterns: Insights of Four Chinese Manufacturing Sectors},

author = {Jie Xiong and JIE YAN and Richard Soparnot and Zhe Yuan},

url = {https://ieeexplore.ieee.org/document/10013707},

year  = {2023},

date = {2023-01-01},

journal = {Ieee Transactions On Engineering Management},

abstract = {Existing literature highlights the relevance of technologyuncertainty and processes in latecomers catch-up but largely ignores the potential interplay between the two as well as the catch-up cycle. Thus, the purpose of this study is to answer the research question of how process patterns throughout the variousstages of  the catch-up cycle hinge on technological uncertainty.Based on observations of the manufacturing industries of general equipment, pharmaceuticals, home appliances, and electronic device manufacturing in China, our findings reveal that the patterns differ in the early and late stages of the catch-up cycle, due to different technological  uncertainties.We demonstrate the features of patterns in conjunction with the catch-up cycle: predictive or explanatory patterns as fundamental ones in the early stage; and convergent and divergent hybrid modes comprised of the aforementionedfundamental patterns in the late stage. Our results providefresh insights into the catch-up process literature and offer valuable practical implications for latecomers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{dantas_2114,

title = {What Can AI Learn from Teachers and Students? A Contribution to Build the Research Gap Between AI Technologies and Pedagogical Knowledge},

author = {Lucimar Dantas and Elsa Estrela and Zhe Yuan},

url = {https://ej-edu.org/index.php/ejedu/article/view/509},

year  = {2022},

date = {2022-12-01},

journal = {European Journal of Education and Pedagogy},

volume = {3},

number = {6},

pages = {189-198},

abstract = {Artificial Intelligence and related technologies represent a major advance in the human capacity to produce knowledge from different areas of knowledge. The application of these technologies in repetitive human activities that can be learned by a machine is already a constant in society, but their use in education still needs research, especially pedagogical research, which can make it clear how AI can contribute effectively to teaching and learning processes, since these processes are marked not only by cognitive characteristics, but also by cultural and emotional aspects. Having identified this gap, we conducted a qualitative study with students and teachers from four EU countries in order to find out what they know about the use of technologies and AI in education, what are their concrete needs and the recommendations of teachers on the pedagogical use of AI in education. This is a contribution to the gap identified by other authors in research on AI and education. This study gives voice to the participants and addresses the issue from the perspective of education. The results point to (1) A knowledge of the topic only from the perspective of users, (2) High expectations of the impact of AI on education (3) Recommendations of adapting AI to learning purposes, (4) Attention to guarantees of inclusion, citizenship, and democracy.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{li_2048,

title = {Environmental decoupling, eco-efficiency improvement, and industrial network optimization: Insights from 44 sectors in China},

author = {Yongqing Li and Jie Xiong and Wanqing Ma and Huimin Ma and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0959652622039464?casa_token=gwhuVwjA27kAAAAA:8AiLHB2M0qCbPhuIRQsIvukFl8FIlZCurXmZPFLHjeeGLWEvCTj5HnzLA2AgXY45kbMYIYv_7sw},

year  = {2022},

date = {2022-11-01},

journal = {Journal Of Cleaner Production},

volume = {376},

pages = {134374},

abstract = {Improving eco-efficiency is an important way to promote environmental decoupling. Based on the input-output model and data envelopment analysis (DEA), this paper evaluates the eco-efficiency of 44 sectors in China with a new DEA model considering inter-sectoral linkages, then explores how the industrial network would be optimized as inefficient sectors become efficient under constant resources supply and constant final demand. The empirical results indicate that 22 sectors are inefficient and deserve further improvement. Inefficient sectors becoming efficient will drive the industrial network to evolve in a more intensive direction, and allow the economy to achieve greater economic benefits with less energy consumption and pollution. Accounting under constant resources supply suggests that increasing external demand should be a key to promoting environmental decoupling in the economy. Accounting under constant final demand indicates more stringent environmental regulations should be used to drive technology upgrades.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_1869,

title = {Emergency medical resource allocation among hospitals with non-regressive production technology: a DEA-based approach},

author = {Junfei Chu and Xiaoxue Li and Zhe Yuan},

url = {https://doi.org/10.1016/j.cie.2022.108491},

year  = {2022},

date = {2022-09-01},

journal = {Computers & Industrial Engineering},

volume = {171},

pages = {108491},

abstract = {This paper proposes an approach for medical resource allocation among hospitals under public health emergencies based on data envelopment analysis (DEA). First, the DEA non-regressive production technology is adopted to ensure that the DMU can always refer to the most advanced production technology throughout all production periods. Based on the non-regressive production technology, two efficiency evaluation models are presented to calculate the efficiencies of DMUs before and after resource allocation. Our theoretical analysis shows that all the DMUs can be efficient after medical resource allocation, and thus a novel resource allocation possibility set is developed. Further, two objectives are considered and a bi-objective resource allocation model is developed. One objective is to maximize the output target realizability of the DMUs, while the other is to ensure the allocated resource to each DMU fits with its operation size, preperformance, and operation practice (i.e., proportion of critically ill patients). Additionally, a trade-off model is proposed to solve the bi-objective model to obtain the final resource allocation results. The proposed approach contributes by ensuring that the medical resources are allocated in such a way that they can all be efficiently used as well as considering multiple objectives and practical constraints that make the approach more fitted with the practical application scenarios. Finally, a case study of 30 hospitals in Wuhan during the COVID-19 epidemic is applied to illustrate the proposed approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_1842,

title = {Individual rationality and overall fairness in fixed cost allocation: An approach under DEA cross-efficiency evaluation mechanism},

author = {Junfei Chu and Feng Li and Wang Su and Zhe Yuan},

url = {https://www.tandfonline.com/doi/full/10.1080/01605682.2022.2079434},

year  = {2022},

date = {2022-06-01},

journal = {Journal Of The Operational Research Society},

abstract = {This paper develops a new fixed cost allocation (FCA) approach that considers individual rationality and fairness using the data envelopment analysis (DEA) cross-efficiency evaluation. We propose two FCA principles from individual rationality: a novel self-lowest principle and the efficient after FCA principle. Under the precondition that the individual rationality principles are satisfied, we suggest determining the final FCA result based on two overall fairness principles: the lower bound principle and the cross-efficiency Pareto-optimality principle. A multi-objective FCA model is built following these principles. An algorithm and some rules are used to solve the multi-objective model and obtain the final cross-efficiency evaluation and FCA result. Our study contributes by explicitly showing the design of individual rationality and overall fairness in FCA using the DEA cross-efficiency evaluation mechanism. Finally, we compare the suggested approach with some previous ones using a numerical example and illustrate its usefulness through a truck fleet case study.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{yuan_1777,

title = {Threshold effects in the relationship between internet development and express delivery industry environmental efficiency},

author = {Zhe Yuan and Hongwei Liu and Hongjuan Shi and Jie Wu and Junfei Chu},

url = {https://doi.org/10.1016/j.jclepro.2022.130815},

year  = {2022},

date = {2022-03-01},

journal = {Journal Of Cleaner Production},

volume = {340},

pages = {130815},

abstract = {Improving the express industry's environmental efficiency is of practical significance to green and sustainable economic development. The development of internet may help achieve this goal. However, previous studies have not provided a consistent result about the relationship between internet development and the express industry's environmental efficiency. This paper provides a deeper understanding of this relationship by analyzing the threshold effects from the perspectives of road network density, openness to international trade and competition, and e-commerce level. Based on Chinese provincial data from 2012 to 2017, we first use a range directional data envelopment analysis model to evaluate the express industry environmental efficiency. Then, a threshold model is constructed to analyze the threshold effects in the relationship between internet development and environmental efficiency. The results show that: (1) The impact of internet development on the express industry's environmental efficiency shows a single threshold effect as road network density increases, which indicates that internet development significantly improves that environmental efficiency when the road network density is above a threshold value. (2) The impact of internet development on express industry environmental performance shows a dual-threshold effect as the degree of openness increases. (3) There is also a dual-threshold effect in this relationship as the proportion of e-commerce business transactions increases, but this effect is not significant. Based on these results, suggestions are given for the express industry to improve its environmental efficiency in China.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_1505,

title = {Performance Evaluation of Organizations Considering Economic Incentives  for Emission Reduction: A Carbon Emission Permit Trading Approach},

author = {Junfei Chu and Caifeng Shao and Ali Emrouznejad and Jie Wu and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0140988321002978},

year  = {2021},

date = {2021-09-01},

journal = {Energy Economics},

volume = {101},

pages = {105398},

abstract = {The emissions trading system allows organizations to transact emission permits to fit their production 

practice. This paper develops a new nonparametric methodology for performance evaluation of organizations (or decision-making units, DMUs) considering carbon emission permit trading. Explicit production axioms are discussed, and a new production technology considering carbon emission permit trading is proposed. Models based on the new production technology are established for evaluating the carbon emission reduction potential and performance of the DMUs. Comparing the proposed models with previous ones, the adoption of carbon emission permit trading increases the potentials of DMUs to reduce 

carbon dioxide emission and improve inputs and outputs. In addition, a proper increase of the carbon emission permit trading price can increase the potential of DMUs to reduce carbon dioxide emissions. The proposed approach contributes to the literature by explicitly explaining how adopting carbon emission permit trading affects production technology. A numeral example illustrates the proposed approach while the usefulness and practicality of the models are explained by applying them to China's thermal power industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wei_1510,

title = {Energy and environmental efficiency of China's transportation sectors considering CO2 emission uncertainty},

author = {Fangqing Wei and Xiaoqi Zhang and Junfei Chu and Feng Yang and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S1361920921002534},

year  = {2021},

date = {2021-08-01},

journal = {Transportation Research Part D-Transport And Environment},

volume = {97},

pages = {102955},

abstract = {China's transportation sector suffers from energy over-consumption and CO2 over-emission, resulting in increasing pressure to improve energy and environmental efficiency. Current measurement techniques cannot produce precise CO2 emission data, and this uncertainty makes previous approaches problematic for analyzing energy and environmental efficiency. This study combines stochastic multicriteria acceptability analysis (SMAA-2) with data envelopment analysis (DEA) to evaluate the energy and environmental efficiency of Chinese transportation sectors in the presence of uncertain CO2 emission data. The improved SMAA-DEA approach effectively handles CO2 data uncertainty and also considers all possible input and output weights, thus providing meaningful information (such as maximum efficiency, average efficiency, and rank acceptability index) to guide the development of effective policies to improve efficiency. This study's empirical findings show that the energy and environmental efficiency of transportation sectors in 30 provincial regions is poor, great efficiency disparities exist between regions, and uneven development has occurred in China.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gong_1199,

title = {Robotic mobile fulfillment systems considering customer classes},

author = {Yeming Gong and Mingzhou Jin and Zhe Yuan},

url = {https://www.tandfonline.com/doi/full/10.1080/00207543.2020.1779370},

year  = {2021},

date = {2021-06-01},

journal = {International Journal Of Production Research},

volume = {59},

number = {16},

pages = {5032-5049},

abstract = {This paper studies a Robotic Mobile Fulfillment System (RMFS), featured by a number of robots lifting and transporting movables storage shelves from storage grids to order pickers. In such systems, online retailers often classify their customers by two major classes expedited shipping" and standard shipping". We build high-dimension Markov models to describe this system with customer classes, calculate the throughput of this system given the number of robots and provide design rules to determine the optimal number of robots and their capacities considering the trade-off between capacities of picker stations and robots. We verify the analytic results of Markov models with simulations. We further consider multiple-picker RMFS and study its optimal design.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yuan_1570,

title = {Analyzing potential tourist behavior using PCA and modified affinity propagation clustering based on Baidu index: Taking Beijing City as an example},

author = {Zhe Yuan and Lin Wang and Sirui Wang and Lu Peng},

url = {https://www.sciencedirect.com/science/article/pii/S2666764921000138},

year  = {2021},

date = {2021-06-01},

journal = {Data Science and Management},

volume = {2},

pages = {12-19},

abstract = {In recent years, when planning and determining a travel destination, residents often make the best of Internet techniques to access extensive travel information. Search engines undeniably reveal visitors' real-time preferences when planning to visit a destination. More and more researchers have adopted tourism-related search engine data in the field of tourism prediction. However, few studies use search engine data to conduct cluster analysis to identify residents' choice toward a tourism destination. In the present study, 146 keywords related to ?Beijing tourism? are obtained from Baidu index and principal component analysis (PCA) is applied to reduce the dimensionality of keywords obtained by Baidu index. Modified affinity propagation (MAP) clustering algorithm is used to classify provinces into several groups to identify the choice of residents to travel to Beijing. The result shows that residents in Hebei province are most likely to travel to Beijing. The cluster result also shows that PCA-MAP performs better than other clustering methods such as K-means, linkage, and Affinity Propogation (AP) in terms of silhouette coefficient and Calinski-Harabaz index. We also distinguish the difference of residents' choice to travel to Beijing during the peak tourist season and off-season. The residents of Tianjing are inclined to travel to Beijing during the peak tourist season. The residents of Guangdong, Hebei, Henan, Jiangsu, Liaoning, Shanghai, Shandong, and Zhejiang have high attention to travel to Beijing during both seasons.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_1379,

title = {Selecting common projection direction in DEA directional distance function based on directional extensibility},

author = {Junfei Chu and Fangqing Wei and Jie Wu and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0360835221000097},

year  = {2021},

date = {2021-04-01},

journal = {Computers & Industrial Engineering},

volume = {154},

pages = {107105},

abstract = {This paper develops a new approach to select a common projection direction for performance evaluation of decision-making units (DMUs) using the data envelopment analysis (DEA) directional distance function. First, we define the concept of directional extensibility of a specific projection direction with respect to a set of inefficient DMUs. The concept shows the projection direction's ability in reducing inefficiencies, simultaneously, for all inefficient DMUs. Using this concept, we propose a model which identifies the common projection direction that has the maximum directional extensibility. However, this common projection direction may contain zero elements. To avoid this problem and to select the final common projection direction, an algorithm is developed to select the common projection direction which is resulted in a trade-off between the directional extensibility and the similarity among the elements of the common projection direction. Our developments contribute by formally defining a concept (i.e., the directional extensibility) which can well reflect a common projection direction's ability in reducing the DMUs' inefficiencies. Moreover, the selected final common projection direction has both good directional extensibility and no zero elements, which helps to guide the inefficient DMUs to develop in a balanced way because the direction suggests the DMUs to improve in all inputs and outputs. Finally, we demonstrate the usefulness of our proposed approach by using an empirical case of 18 logistics companies listed among China's top 500 enterprises in 2018.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yuan_1066,

title = {Bot-In-Time Delivery for Robotic Mobile Fulfillment Systems},

author = {Zhe Yuan and Yeming Gong},

url = {https://ieeexplore.ieee.org/document/7820133},

year  = {2017},

date = {2017-01-17},

journal = {Ieee Transactions On Engineering Management},

volume = {64},

number = {1},

pages = {83-93},

abstract = {This paper studies a robotic mobile fulfillment system (RMFS) featured by robots transporting movables shelves to order pickers. The RMFS can increase productivity, reduce costs, increase order picking accuracy, and improve operational flexibility. We build queue network models to describe the RMFS with two protocols in sharing robots for pickers, propose the corresponding algorithms, conduct numerical analyses, and evaluate the performance of the RMFS by calculating the throughput time. We then calculate the optimal number and the velocity of robots, and provide the effective design rules for the RMFS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yuan_1067,

title = {Designing public storage warehouses with high demand for revenue maximisation},

author = {Zhe Yuan and Haoxuan Xu and Yeming Gong and Chengbin Chu and Jinlong Zhang},

url = {https://doi.org/10.1080/00207543.2016.1211338},

year  = {2016},

date = {2016-07-21},

journal = {International Journal Of Production Research},

volume = {55},

number = {13},

pages = {3686-3700},

abstract = {The design of public storage warehouses needs to fit market segments to increase the average revenue in an environment of high demand. This paper presents a revenue model integrated with queuing and price-demand theories to solve the design and pricing problem for public storage warehouses. We consider two demand cases in the model, which are exponential demand and piecewise linear demand. We also develop a solution based on dynamic programming techniques to solve the problem. Using data from a warehouse, we conduct numerical experiments. Results show that our approach can improve the expected revenue of public storage warehouses with high demand by 16.6% on average. We further conduct sensitivity analysis on price, and investigate the relation between revenue and price.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yuan_1068,

title = {Evolution of service innovation in e-commerce based on the NK model},

author = {Zhe Yuan and Guoyin Jiang},

url = {https://www.inderscience.com/info/inarticle.php?artid=68521},

year  = {2015},

date = {2015-03-26},

journal = {International Journal of Simulation and Process Modelling},

volume = {10},

number = {1},

pages = {80-88},

abstract = {In this study, we employ an NK-based model to explore the evolution path of synergetic services in e-commerce. The proposed model can dynamically adjust to the changes in the synergetic services brands of e-commerce over time, including their technical and promotion capabilities. The simulation results show that enterprise innovation fitness increases with an increase in interaction between service capacities. The fitness of moderately interdependent enterprises is greater than enterprises which are completely dependent. In order to gain an optimal level of innovation fitness, an enterprise can make appropriate adjustments, depending on the interdependence of its service capabilities. The innovation evolutionary path of synergetic services in e-commerce is proportionately in line with an S-curve. The system can forecast the macro-level evolution of a synergic service under real scenarios, and support competition-oriented enterprises' decision-making. The synergy of internal service elements can also improve the enterprises' performance in terms of innovation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}