Showing papers by "Liang Liang published in 2020"

Coordination of a fashion supply chain with demand disruptions

Abstract: In this paper, we consider supply chain coordination with a revenue sharing contract (RSC) and a linear quantity discount contract (LQDC) in a fashion supply chain with demand disruptions. The situation without demand disruptions is considered as the benchmark. In the benchmark, we find that, the RSC fails to coordinate the supply chain while the LQDC does. We also find that demand disruptions can promote supply chain coordination. We then find that, in some cases, the RSC (LQDC) fails to coordinate the supply chain whereas the LQDC (RSC) can do so.

Research performance evaluation of Chinese university: a non-homogeneous network DEA approach

Abstract: Performance evaluation for universities or research institutions has become a hot topic in recent years. However, the previous works rarely investigate the multiple departments’ performance of a university, and especially, none of them consider the non-homogeneity among the universities’ departments. In this paper, we develop data envelopment analysis (DEA) models to evaluate the performance of general non-homogeneous decision making units (DMUs) with two-stage network structures and then apply them to a university in China. Specifically, the first stage is faculty research process, and the second stage is student research process. We first spit each DMU (i.e. department) into a combination of several mutually exclusive maximal input subgroups and output subgroups in terms of their homogeneity in both stages. Then an additive DEA model is proposed to evaluate the performance of the overall efficiency of the non-homogeneous DMUs with two-stage network structure. By analyzing the empirical results, some implications are provided to support the university to promote the research performance of each department as well as the whole university.

A multiplicative method for estimating the potential gains from two-stage production system mergers

Abstract: In this study, a data envelopment analysis-based approach is proposed for estimating and decomposing the potential gains from the horizontal integrations of two-stage production systems. In the first tier, the gains of the potential merger are measured by a composite efficiency index. The potential efficiency gains are then decomposed as the product of coordination efficiency and two divisional potential efficiency gains. In the second tier, the divisional potential efficiency gains are decomposed into scope, size, and learning efficiencies. We develop a multiplicative framework for decomposing potential efficiency gain in mergers of the two-stage production systems, and the coordination efficiency is considered. In the case study of commercial banks in mainland China, we develop an algorithm for estimating and decomposing potential efficiency gain for a two-stage bank production system.

Linking hospital culture to the training performance of residents: The roles of leader-member exchange and transactional leadership style.

Abstract: Background Hospital culture is a crucial aspect of residents' training. However, the mechanisms related to stakeholder culture (SC) and teacher-resident interaction remain unclear. The study investigated the relationship between hospital culture and training performance of residents. Also, it explored the mediating effect of teacher-resident exchange and the moderating effect of the teacher's transactional leadership style within a Chinese context. Methods Based on stakeholder and leadership member exchange theories, we constructed a composite model. Data were collected from 296 residents from five tertiary hospitals in China. Hierarchical moderated regression analyses were used to test the hypotheses. Results (a) Both the employee-orientation culture (EOC) (β = .14, P ≤ .05) and patient-orientation culture (POC) (β = .47, P ≤ .001) in the hospital were significantly related to residents' training performance. (b) Teacher-resident exchange fully mediated the relationship between EOC and training performance and partially mediated the relationship between POC and training performance. (c) The moderating role of transactional leadership style (TLS) in the relationship between EOC and leader-member exchange (LMX) (β = -.17, P ≤ .05) was negative; it was not significant in the interaction between POC and TLS (β = .06, P > .1). Conclusion The results suggest that trainers should consider the value of multiple cultures and ensure balance among stakeholders rather than focusing on a single one. Furthermore, a positive interaction improves teacher-student relationship and training performance. Most importantly, educational departments should pay attention to establishing assessment tools, using rewards and incentives in residents' training.

Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach

Abstract: One of the hot topics is how to achieve more accurate results of economic and environmental efficiency evaluation in China. Previous data envelopment analysis (DEA) literature on environmental performance measurement often follow the concept of non-radial efficiency measure for calculating the performance on resources and economic-environmental factors respectively. This paper proposes a non-radial and multi-objective generalized DEA model for economic-environmental efficiency evaluation. The results illustrate that this model can not only analyze the relationship between DEA efficiency and Pareto optimality of the multi-objective programming problem defined on the production possibility set, but also obtain the performance improvement direction by using the projection of decision making units. Finally, a case on measuring the economic-environmental performance of Chinese provincial regions is employed to indicate that the proposed model can be helpful to promote the accuracy of economic-environmental efficiency evaluation.

Performance evaluation of NBA teams: A non-homogeneous DEA approach

Abstract: National Basketball Association (NBA) is one of the four major sports leagues in North America. The performance evaluation of NBA teams is an important reference for team managers. However, non-hom...

Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems

Abstract: Many studies have concentrated on fixed cost allocation and resource allocation issues by using data envelopment analysis (DEA). Existing approaches allocate fixed cost and resource primary based on the efficiency maximization principle. However, due to the existing of technology heterogeneity among DMUs, it is impractical for all the DMUs to achieve a common technology level, especially when some DMUs are far from the efficient frontier. In this chapter, under the centralized decision environment, we present a new approach to deal with fixed cost and resource allocation issues for a two-stage production system by considering the factor of technology heterogeneity. Specifically, technology difference is analyzed in the performance evaluation framework firstly. Then, by taking the technology heterogeneity into account, the two-stage DEA-based fixed cost allocation and resource allocation models are proposed. In addition, two illustrated examples are calculated to show the feasibility of the two proposed models. Finally, this chapter is concluded.