Zhe Yuan

@article{zhang_3500,

title = {The Evolution of Complex Global Innovation Collaboration Network: A Multilevel Analysis of a CoPS Industry 2001-2020},

author = {Beibei ZHANG and Ximing Yin and Jie Xiong and Zhe Yuan},

url = {https://ieeexplore.ieee.org/document/10916686/authors},

year  = {2025},

date = {2025-03-01},

journal = {Ieee Transactions On Engineering Management},

abstract = {Global innovation collaboration networks (GICNs) constitute a fundamental component of the innovation ecosystem and significantly contribute to the advancement of complex products and systems (CoPS) in the domain of engineering management. Despite their significance, existing research has not adequately captured the intricate dynamics of GICNs, particularly from an evolutionary perspective. This study seeks to fill this gap by employing a holistic approach to analyze the complexity and evolutionary characteristics of a representative CoPS industry, across macro-network, meso-module, and micro-motif levels. Utilizing global patent data from 2001 to 2020 pertaining to chip manufacturing, our analysis identifies distinct collaborative patterns across the macro, meso, and micro levels within GICNs. At the macro level, there is a discernible shift towards a distributed structure, epitomized by a ?big center, multi-centers, decentralization? trend. The meso level exhibits a progression towards a ?loosely coupled? configuration of technical sub-modules, reflecting a specialized division of labor. Notably, the micro level demonstrates a significant centralization in collaborative innovation, with enterprises playing a pivotal role. This investigation provides an exhaustive empirical examination of GICNs within the CoPS industry and offers novel insights into the evolution of such networks. Furthermore, it furnishes actionable recommendations for policymakers and engineering managers seeking to navigate the complexities of CoPS innovation, thus providing a strategic roadmap for collaboration and innovation management.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chu_3501,

title = {Data envelopment analysis fixed cost allocation based on dynamic bargaining game and the Nash equilibrium},

author = {Junfei Chu and Yanhua Dong and Weijiao Wang and Yuting RUI and Zhe Yuan},

url = {http://dx.doi.org/10.1016/j.ejor.2025.03.009},

year  = {2025},

date = {2025-03-01},

journal = {European Journal Of Operational Research},

abstract = {Fixed cost allocation (FCA) poses a significant challenge for decision-making units (DMUs) contributing to a shared cost. Each DMU aims to allocate the minimum possible cost to itself. As a result, different DMUs hold varying and often conflicting allocation proposals and preferences, which prevents them from reaching a consensus on the FCA outcome. This paper develops a dynamic bargaining game-based fixed cost allocation (DBG-FCA) approach within the data envelopment analysis (DEA) framework to address this issue. The DBG-FCA approach employs an iterative process where each DMU proposes its preferred allocation during each iteration. All DMUs gradually converge on a consensus FCA outcome through dynamic negotiations and gradual compromise. Notably, this consensus upholds the individual rationality of each DMU, allowing them to align their proposals with their specific interests. Furthermore, the analysis establishes that the resulting FCA solution constitutes a Nash equilibrium, guaranteeing stability and universal acceptance among the DMUs. The effectiveness of the proposed approach is further illustrated through a numerical example and a case study involving FCA across 14 bank branches, along with a comparison to existing FCA methods.},

note = {In press JOURNAL PRE PROOF},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{wang_3132,

title = {Determining the equilibrium efficient frontier by proportional frontier shifting for data envelopment analysis with fixed-sum outputs},

author = {Weijiao Wang and Fei Xu and Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0305048324001397?via%3Dihub},

year  = {2025},

date = {2025-01-01},

journal = {Omega-International Journal Of Management Science},

volume = {130},

pages = {103174},

abstract = {The equilibrium efficient frontier data envelopment analysis (EEFDEA) has been extensively used to evaluate efficiencies of the decision-making units (DMUs) with fixed-sum outputs. This study develops a new EEFDEA approach based on a proportional frontier-shifting strategy. Our approach applies an iterative procedure to find the equilibrium efficient frontier (EEF). Each iteration uses a proportional frontier-shifting model to improve an inefficient DMU to the efficient frontier by increasing its fixed-sum outputs. Meanwhile, the DMUs on the efficient frontier decrease fixed-sum outputs proportionally to ensure the total fixed-sum outputs are unchanged. Our theoretical developments show that the proportional frontier-shifting strategy is feasible and can finally obtain a unique EEF. The new approach allows DMUs to use their preferred input and output weights when determining the EEF. This generates an EEF that better aligns with real-world practices and avoids the need to construct it as a single hyperplane, as required by conventional EEFDEA methods. It also avoids unfair adjustments in fixed-sum outputs among the DMUs and eliminates the problem of peculiar efficiency evaluation results (i.e., some DMUs obtain extremely high, or infinity, efficiencies). Finally, we apply our approach to a case study of Chinese vehicle industry companies to demonstrate its usefulness and compare it with the previous representative approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3285,

title = {Balancing contributions and rewards: a DEA approach for fair carbon emission abatement allocation},

author = {Junfei Chu and Yanhua Dong and Zhe Yuan and Fangqing Wei},

url = {http://dx.doi.org/10.1080/01605682.2024.2449470},

year  = {2025},

date = {2025-01-01},

journal = {Journal Of The Operational Research Society},

pages = {1-16},

abstract = {Fairness is imperative in implementing carbon emission abatement (CEA) allocation schemes. This study introduces a new data envelopment analysis (DEA) methodology for the fair distribution of CEA among decision-making units (DMUs), taking into account their individual fairness. First, we establish a model to determine the maximum CEA potential for each DMU. Subsequently, an environmental efficiency evaluation model is presented to estimate a DMU's maximum potential desirable output increment (referred to as individual reward) based on its CEA level (defined as individual contribution). The individual fairness index is then defined as the ratio of individual reward to individual contribution. A convergence of individual fairness indexes among DMUs indicates higher perceived fairness in the CEA allocation. To promote fairness, we propose a centralized CEA allocation model that maximizes the minimum individual fairness index among DMUs, aiming to minimize disparities. Our contribution lies in formulating the concept of individual fairness within the DEA-based CEA allocation paradigm and introducing an approach to generate a CEA allocation result that embodies fairness. Lastly, the proposed approach is applied to a case study involving 38 OECD countries, demonstrating its superiority in achieving equitable CEA allocation results.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zhang_3170,

title = {Robotic warehouse systems considering dynamic priority},

author = {Zhengmin Zhang and Yeming Gong and Zhe Yuan and Wanying Chen},

url = {https://www.sciencedirect.com/science/article/pii/S1366554524003703?via%3Dihub},

year  = {2024},

date = {2024-12-01},

journal = {Transportation Research Part E-Logistics And Transportation Review},

volume = {192},

pages = {103779},

abstract = {The research proposes a new methodological framework based on dynamic priority to handle different order classes in robotic warehouse systems. Traditional static priority methods in facility logistics may cause low-priority orders to experience excessive delays and fail to ensure fairness. Our dynamic priority approach addresses this fairness issue by adjusting priorities over time to fulfill orders within promised times, ensuring both high-priority orders and long-waiting low-priority orders receive timely attention. We present stochastic models of dynamic priority queueing networks to describe warehouse systems and estimate throughput times. Experiments validate the analytical stochastic models, and experimental results indicate that the dynamic priority model achieves shorter delay times than the static priority model and the FCFS model. We propose design insights based on experimental results and provide an approach to select the optimal robot number. Furthermore, by employing a fairness index, we develop a new decision support tool for determining warehouse configurations with requested performance objectives. Experimental results demonstrate that dynamic priority can ensure fairness across a wider range of scenarios. Additionally, with insufficient pickers, the system performs better with the put wall than without it.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{meng_3010,

title = {Consensus adjustment for multi-attribute group decision making based on cross-allocation},

author = {Fan-Yong Meng and Deng-Yu Zhao and Zai-Wu Gong and Jun-Fei Chu and Witold Pedrycz and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724003400},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {1},

pages = {200-216},

abstract = {Consensus adjustment is crucial in group decision making (GDM), aiming to reduce discrepancies in decision makers' (DMs') judgments for final decision results. The consensus adjustments made by DMs are interactive rather than independent. However, few studies investigate the consensus adjustment problem from the perspective of interactions among DMs. This study first constructs a model to determine the total minimum consensus adjustment under the requirements of consensus threshold and individual-collective judgment bias. Then, a consensus adjustment approach based on cross-allocation scheme is proposed to address the inconsistency between individual and collective minimum adjustments, which concerns all DMs' individual favorable allocation results under the total minimum consensus adjustment. The cross-allocation scheme ensures unanimous support for the same allocation result among all rational DMs, thereby eliminating the discrepancies among them. Subsequently, the optimization model-based minimum consensus judgment penalty is formulated to handle the non-cooperative behaviors of DMs. Furthermore, we show how to determine the unique consensus adjustment result for the non-cooperative DMs using the cross-allocation scheme. Therefore, our study contributes by developing a new GDM method that conducts consensus adjustment allocation by considering interactions among DMs. Finally, a case study is employed to demonstrate the specific application of the new method and discuss its efficiency. Meanwhile, comparison analysis and simulation experiments are provided.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3041,

title = {An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs},

author = {Junfei Chu and Yanhua Dong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0377221724004314},

year  = {2024},

date = {2024-10-01},

journal = {European Journal Of Operational Research},

volume = {318},

number = {2},

pages = {592-604},

abstract = {In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights, indicating that the Equilibrium Efficient Frontier (EEF) constructed consists of only one hyperplane. However, in practical scenarios under the Variable Return to Scale (VRS) assumption, the production frontier always consists of multiple hyperplanes, presenting a more complex shape. To fill this research gap, we propose an improved Equilibrium Efficient Frontier Data Envelopment Analysis approach. Our approach allows DMUs to have different weights for inputs, variable-sum outputs, and fixed-sum outputs, resulting in an EEF with multiple hyperplanes. It is noted that our new approach uses a non-linear model to obtain the EEF. We show that the model can be linearized in the case of a single fixed-sum output. In situations involving multiple fixed-sum outputs, we propose an algorithm based on the Expectation Maximization (EM) mechanism to solve the model to obtain an EEF. Finally, we illustrate the advantages of our new approach through a numerical example and a case study in the global motor vehicle industry.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{huang_3211,

title = {Catch-up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry},

author = {Han Huang and Jie Xiong and Lu XU and Zhe Yuan and Chun Liu},

url = {https://ieeexplore.ieee.org/document/10738479},

year  = {2024},

date = {2024-10-01},

journal = {Ieee Transactions On Engineering Management},

volume = {71},

pages = {15375 - 15389},

abstract = {The rapid advancement of Chinese Complex Products and Systems (CoPS) enterprises marks their transition into a post-catch-up phase, challenging conventional theories of catch-up. This study employs a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct paths of State-Owned Enterprises (SOEs) and non-State-Owned Enterprises (non-SOEs) within the CoPS sector. Utilizing Fuzzy-Set Qualitative Comparative Analysis (fsQCA) with data sourced from the EU Industrial R&D Investment Scoreboard (2017-2020) and corresponding Chinese-listed companies, our research identifies diverse catch-up configurations for SOEs, characterized by ?complexity adoption? and ?complexity decipher? models. In contrast, non-SOEs encounter challenges in strategically adapting to environmental shifts, which affects their catch-up strategies. Our findings emphasize the critical role of strategic alignment with external conditions, technological learning, and resource utilization in achieving successful catch-up in CoPS. These configurations enable SOEs to effectively align internal resources with external opportunities, resulting in superior catch-up performance. In contrast, non-SOEs encounter significant obstacles in adapting to environmental changes and optimizing resource utilization, which hinders their ability to attain similar successes. Moreover, our study sheds light on specific challenges faced by non-SOEs in responding to environmental shifts. This enriched understanding provides valuable theoretical insights into the catch-up of latecomer CoPS enterprises and has practical implications for both policymakers and business practitioners.},

keywords = {},

pubstate = {published},

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}

@article{chu_3019,

title = {Dynamic bargaining game DEA carbon emissions abatement allocation and the Nash equilibrium},

author = {Junfei Chu and Tianteng HOU and Feng Li and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S014098832400330X},

year  = {2024},

date = {2024-06-01},

journal = {Energy Economics},

volume = {134},

pages = {107622},

abstract = {Allocating carbon emissions abatement (CEA) is crucial for reducing carbon footprint of organizations (or decision-making units, DMUs) and mitigating global warming. However, discrepancies often arise among DMUs regarding CEA allocation. This study introduces a dynamic bargaining game approach to address the issue under the nonparametric production frontier analysis framework. Our approach employs an iterative process, allowing each DMU to propose its individual preferred CEA allocation proposal in each iteration. Subsequently, dynamic negotiations among the DMUs occur, leading to the eventual consensus on the CEA allocation result. Our theoretical analysis demonstrates that, at the end of the dynamic bargaining game, all DMUs will converge on the same CEA allocation result, termed as the consensus CEA allocation result. This agreement is reached despite each DMU customizing its individual CEA allocation proposal to suit its own interests. Moreover, we prove that this consensus CEA allocation result represents a Nash equilibrium solution, thereby ensuring its stability and acceptance among all DMUs. Finally, we provide a simple numerical example and a case study of CEA allocation across 27 European Union countries to illustrate the usefulness of our approach and compare it with prior CEA allocation approaches.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zou_2435,

title = {Delivery network design of a locker-drone delivery system},

author = {Bipan Zou and Siqing Wu and Yeming Gong and Zhe Yuan and Yuqian Shi},

url = {https://www.tandfonline.com/doi/abs/10.1080/00207543.2023.2254402},

year  = {2024},

date = {2024-01-01},

journal = {International Journal Of Production Research},

volume = {62},

number = {11},

pages = {4097-4121},

abstract = {Drones are increasingly used for last-mile delivery due to their speed and cost-effectiveness. This study focuses on a novel locker-drone delivery system, where trucks transport parcels from the warehouse to lockers, and drones complete the final delivery. This system is ideal for community and intra-facility logistics. The research optimises the network design by determining the location of lockers, the number of drones at each locker, and the assignment of demands to lockers, minimising operating costs. Both single-parcel and multi-parcel capacity drones are examined. We build an optimisation model for each system, considering drone service capacity as a critical constraint. We design an algorithm combining average sample approximation and a genetic algorithm to address demand uncertainty. The algorithm's efficiency is validated through comparative analysis with Gurobi. Numerical experiments, using real and generated data, optimise the network design. Results show that the multi-capacity drone system requires fewer lockers and drones than the single-capacity system. Although the single-capacity system yields lower drone delivery costs, it incurs higher truck delivery costs. Additionally, a comprehensive cost analysis compares the cost-efficiency of the locker-drone system with a conventional drone delivery system, revealing the cost-saving advantage of the locker-drone system.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_2371,

title = {DEA-based proportional-sharing fixed cost allocation considering bi-objective optimization},

author = {Junfei Chu and Wang Su and Jie Wu and Zhe Yuan},

url = {https://link.springer.com/article/10.1007/s00291-023-00727-x},

year  = {2023},

date = {2023-12-01},

journal = {Or Spectrum},

volume = {45},

pages = {1333-1360},

abstract = {This paper proposes a new proportional-sharing approach for fixed cost allocation (FCA) among a group of decision-making units (DMUs) based on data envelopment analysis (DEA). We first prove the proportional invariance in DEA-based FCA. Then, we show that the ?all-efficient? assumption in existing models usually leads to the use of unrealistic weights in efficiency analysis. To address this issue, we relax this assumption and adopt a weight constraint approach. Further, we illustrate that some DMUs would always be allocated with zero fixed cost if only the goal of efficiency maximizing is considered. Therefore, some weight constraints are added, and a new bi-objective model is proposed to allocate the fixed cost among the DMUs in order to simultaneously maximize the efficiencies of the DMUs and make the allocation as close as possible to the one generated according to the DMUs' operation sizes. A mono-objective nonlinear program, which can be solved using dichotomy and a linear program solver, is used to obtain a non-dominated or Pareto-optimal trade-off solution for the bi-objective model. With the use of our approach, neither unrealistic weights nor zero fixed cost appears in the result. Finally, the proposed approach is applied to a numerical example and a commercial bank case study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang_2389,

title = {Impact of ecological reserves on the local residents' health: Evidence from a natural experiment in China},

author = {Mingzhe Wang and Hai Huang and Jie Xiong and Zhe Yuan and Keya Zeng},

url = {https://www.sciencedirect.com/science/article/pii/S0277953623005439?via%3Dihub},

year  = {2023},

date = {2023-11-01},

journal = {Social Science & Medicine},

volume = {336},

pages = {116186},

abstract = {The potential influence of natural ecosystems on human health has been widely acknowledged globally. Nevertheless, the causality of such a correlation among the middle-aged and older populations in developing countries awaits further investigations. This study aims to understand how a specific natural ecosystem change, namely the establishment of ecological reserves, improves the physical and mental health of middle-aged and older residents in China. Two batches of national key eco-function zones (NKEFZs) in 2011 and 2016 are selected as a quasi-experiment; and a total of 128,755 middle-aged and older residents from a combined data set from the China Family Panel Studies (CFPS) and China Health and Retirement Longitudinal Studies (CHARLS) from 2010 to 2020. A difference-in-differences method was used to identify the causal effects of the natural ecosystem improvement on human health outcomes. The results indicate significant and sustained improvements in the physical health of local middle-aged and elderly residents following the implementation of the NKEFZs policy. Notably, ecological reserves with a water conservation function and those in Karst area have the most salient effects on physical health. Furthermore, this study shows that the creation of ecological reserves improves the mental health of middle-aged and older residents, with the effect varying based on changes in physical health. This study provides new insights into the positive impact of natural ecosystem improvement on human health outcomes, in particular physical and mental health.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{huang_2352,

title = {Role of trust-building in online recycling platforms},

author = {Yanting Huang and Yuqing Liang and Yeming Gong and Zhe Yuan},

url = {https://www.sciencedirect.com/science/article/pii/S0925527323001949?via%3Dihub},

year  = {2023},

date = {2023-09-01},

journal = {International Journal Of Production Economics},

volume = {263},

pages = {108962},

abstract = {Many studies have addressed the research questions in online platforms and the collection of waste electric and electronic equipment. However, they may ignore the effect of trust-building in the online platform and how trust affects the optimal strategy in the recycling platform. Consumers must consider the price and credibility in the product recycling process due to the differentiated prices for the same products set by different online platforms. This work studies the profit of recyclers and platforms with a degree of trust-building in the reverse logistics system considering the following scenarios: online recycling platform builds trust or not under centralized and decentralized models. The results show that trust-building can effectively make more revenue for the system of the online recycling platform with enhanced demand if the cost of the trust-building construction is relatively low, especially in the centralized model. The revenue-sharing contract is more profitable than the cost-sharing contract but fails to achieve optimization in the integrated setting. We find a new decision support tool for optimal strategies under different decision-making models. This work helps the recycling platform improve mechanism design and make optimal decisions considering trust-building.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiong_2466,

title = {Doing good and/or avoiding bad: the ambidextrous view of managing corporate social activities},

author = {Jie Xiong and Xu Lu and Qian Li and Zhe Yuan and Shubho Chakraborty},

url = {https://reflexion.hec.ca/notice?id=516f6909-f1dd-4865-830a-e4f6f0e6b66d},

year  = {2023},

date = {2023-09-01},

journal = {Management International},

volume = {27},

number = {5},

pages = {25-36},

abstract = {Our objective is to examine how firms manage corporate social activities across divergent orientations, either pro-CSR (corporate social responsibility) and/or anti-CSiR (corporate social irresponsibility) activities. We investigate two different approaches to managing corporate social activities, namely, balanced and combined, and study their potential impacts on corporate performance from an ambidextrous perspective. In addition, we examine the moderation effects of firm size and financial risk. We tested our hypothesis using a panel of 5,292 firms from KLD and COMPUSTAT between 1998 and 2015.},

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  = {2023},

date = {2023-05-01},

journal = {Journal Of The Operational Research Society},

volume = {74},

number = {3},

pages = {992-1007},

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 = {published},

tppubtype = {article}

}

@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 = {2023-05-01},

journal = {Regional Studies},

volume = {57},

number = {6},

pages = {1011-1028},

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 = {published},

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{lu_2081,

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

author = {Xu Lu and 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},

volume = {71},

pages = {4876 - 4888},

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 = {published},

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{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{wang_1570,

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

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

url = {https://www.sciencedirect.com/science/article/pii/S2666764921000138?via%3Dihub},

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{zou_1065,

title = {Assignment rules in robotic mobile fulfilment systems for online retailers},

author = {Bipan Zou and Yeming Gong and Xianhao Xu and Zhe Yuan},

url = {https://www.tandfonline.com/doi/abs/10.1080/00207543.2017.1331050?journalCode=tprs20},

year  = {2017},

date = {2017-05-01},

journal = {International Journal Of Production Research},

volume = {55},

number = {20},

pages = {6175-6192},

abstract = {We study robotic mobile fulfilment systems for online retailers, where products are stored in movable shelves and robots transport shelves. While previous studies assume random assignment rule of workstations to robots, we propose an assignment rule based on handling speeds of workstations and design a neighbourhood search algorithm to find a near optimal assignment rule. We build semi-open queueing networks and use a two-phase approximate approach for performance estimation. We first replace workstation service processes by a composite service node and then solve the model by the matrix-geometric method. Simulations are used to validate the analytical models. Numerical experiments are conducted to compare random, handling-speeds-based, near optimal and optimal assignment rules, in terms of retrieval throughput time. The results show that the random assignment rule is not a good choice, the handling-speeds-based assignment rule significantly outperforms the random assignment rule when the workers have large handling time difference, and the neighbourhood search approach can provide an assignment rule that is very close to the optimal one, using a much shorter time. Moreover, we design the shelf blocks under the examined assignment rules, and find that the optimal width of shelf block decreases with the width to length ratio.},

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}

}