Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation

Chang, Tsung‐Sheng; Tone, Kaoru; Wu, Chen-Hui

doi:10.1016/j.ejor.2020.09.044

Cited by 19 publications

(5 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also noteworthy is the research approach that considers various scenarios of undertaken activities that may affect efficiency. In order to implement this assumption, the Nested Dynamic Network SBM (NDNSBM) model (Chang et al, 2021) can be used. Assessing the efficiency in different scenarios seems particularly useful in terms of individual countries and the whole Community.…”

Section: Discussionmentioning

confidence: 99%

Joint Analysis of National Eco-Efficiency, Eco-Innovation and SDGS in Europe: Dea Approach

Łącka

Brzezicki²

2022

Technological and Economic Development of Economy

View full text Add to dashboard Cite

The growing complexity and intertwining of different socio-economic issues both in individual countries and internationally mean that single-theme analyses do not consider all the relationships and thus have cognitive limitations. Therefore, studies that combine several research areas are increasingly common in the literature to clarify the connections and relationships. In this study, considering the sequential nature of the stages, a combined analysis of eco-efficiency, eco-innovation, and Sustainable Development Goals (SDGs) was performed. The analysis was carried out for 27 European Union countries in 2017–2019. Dynamic Network SBM and Dynamic Divisional Malmquist Index were used for the study. The research results show that the EU countries achieve relatively higher efficiency results in eco-innovation and SDG than ecoefficiency. The average overall efficiency level for all EU countries was only 0.63. The change in productivity was influenced by both the frontier shift and catch-up effect, but only with regard to eco-efficiency and eco-innovation. At the same time, the frontier-shift effect did not affect the change in SDG productivity.

show abstract

Section: Discussionmentioning

confidence: 99%

Joint Analysis of National Eco-Efficiency, Eco-Innovation and SDGS in Europe: Dea Approach

Łącka

Brzezicki²

2022

Technological and Economic Development of Economy

View full text Add to dashboard Cite

show abstract

“…[39] proposed an inverse SBM model. More recently, an additive model nested within a slacks-based measure (SBM) [40] and the employment of directional distances in a multiplicative model [41] represent new alternatives in the DNDEA framework.…”

Section: Dynamic Dea With Network Structurementioning

confidence: 99%

Allocating Benefits Due to Shared Resources Using Shapley Value and Nucleolus in Dynamic Network Data Envelopment Analysis

Torres,

Ramos

2024

Mathematics

View full text Add to dashboard Cite

Shared resources are common among supply chain partners and also occur in multiple linked stages of an internal network. The sharing of these resources impacts the organization’s profits. This study is focused on the potential benefits of resource sharing on a three-stage network system and on the profit improvement allocation. Previous treatments concentrate on defining optimal proportions to allocate resources and disregard the impacts of allocations to promote cooperation and are limited to static evaluations. Data Envelopment Analysis performs the decision-making units (DMUs) efficiency measurement. Methodological advances have resulted in models that analyze their internal structure and temporal impacts on efficiency. We propose an integrated cooperative game and dynamic network DEA that considers known quantities of resources used in each stage and the time effects to optimize the system’s profit. Each DMU stage is a player, and we investigate performance before and after resource sharing. Using Shapley value and Nucleolus, it is possible to allocate the benefits obtained based on the marginal contributions of each stage, providing incentives to motivate and maintain cooperation. A numerical example is used to illustrate the method. The results confirm the identification of inefficient DMUs and that sharing resources allows for profit increase for all of them.

show abstract

“…Chang et al [21] analyzed the portfolio performance valuation of 44 textile companies in Taiwan from 2011 to 2018 using the nested dynamic network (NDN) Data Envelopment Analysis (DEA) method.…”

Section: Studies Related To Efficiency Assessment In Stock Marketsmentioning

confidence: 99%

Analyzing the Investment Behavior in the Iranian Stock Exchange during the COVID-19 Pandemic Using Hybrid DEA and Data Mining Techniques

Sarfaraz

Yazdi

Hanne

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The main purpose of this paper is to investigate the effects of COVID-19 regarding the efficiency of industries based on data in the Tehran stock market. A hybrid model of Data Envelopment Analysis (DEA) and data mining techniques is used to analyze the investment behavior in Tehran stock market. Particularly during the COVID-19 pandemic, many companies face financial crises. That is why companies with inferior performance must be benchmarked with efficient companies. First, the financial data of investments on selective companies are analyzed using data mining approaches to recognize the behavioral patterns of investors and securities. Second, customers are clustered into 3 selling and 4 buying groups using data mining techniques. Then, the efficiency of active companies in stock exchange is evaluated using input-oriented DEA. The results indicate that, among 23 industries listed on the stock market in Iran, solely nine were efficient in 2019. Moreover, in 2020, the number of efficient industries further decreased to six industries. Comparing the obtained results with those of another study which was conducted in 2018 by other researchers revealed that COVID-19 strongly affects the performance of an industry and some industries which were efficient in the past such as the bank industry became inefficient in the following year.

show abstract

Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation

Cited by 19 publications

References 39 publications

Joint Analysis of National Eco-Efficiency, Eco-Innovation and SDGS in Europe: Dea Approach

Joint Analysis of National Eco-Efficiency, Eco-Innovation and SDGS in Europe: Dea Approach

Allocating Benefits Due to Shared Resources Using Shapley Value and Nucleolus in Dynamic Network Data Envelopment Analysis

Analyzing the Investment Behavior in the Iranian Stock Exchange during the COVID-19 Pandemic Using Hybrid DEA and Data Mining Techniques

Contact Info

Product

Resources

About