Window data envelopment analysis approach: A review and bibliometric analysis

Peykani, Pejman; Saen, Reza Farzipoor; Esmaeili, Fatemeh Sadat Seyed; Gheidar-Kheljani, Jafar

doi:10.1111/exsy.12721

Cited by 27 publications

(8 citation statements)

References 313 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings are consistent with the findings of Pavković et al (2018), Cvetkoska et al (2021) and Micajkova and Poposka (2013). The results of the overall efficiency by windows in Table 3 represents the main advantage of the WDEA (window DEA) approach as "a useful and effective method that describes the dynamic changes of the efficiency of each DMU, comprehensively and the horizontal and vertical changes in the efficiency of DMUs" (Peykani et al, 2021).…”

Section: Resultssupporting

confidence: 86%

Do mergers and acquisitions improve bank efficiency? Evidence from North Macedonia

Čiković

Lozić

Guzovski

2022

Journal of International Studies

View full text Add to dashboard Cite

This article focuses on the efficiency of commercial banks in North Macedonia in the period from 2007 to 2020. The main goal is to assess the relative efficiency of the banking sector as a whole, and more importantly, to evaluate and analyse the impact of mergers and acquisition (M&A) transactions on banks’ efficiency. For this reason, the leading nonparametric methodology Data Envelopment Analysis (DEA) has been employed, i.e., the window DEA model with two input and two output variables on a sample of 13 commercial banks. Based on balanced panel data from the banking sector of North Macedonia, the obtained results show a constant fall of efficiency of the whole banking sector, from 83.33% in 2007 to 70.06% in 2011 and 66.36% in 2020. The results of the M&A transactions case study analysis show that, in general, M&A transactions decrease banks' efficiency, i.e., they do not result in an efficiency increase. The contribution of the study is that it comprises the first study analysing the effects of banks' M&A on bank efficiency in the region of South-Eastern Europe with the application of DEA and thus, it provides valuable information for investors, bank management, M&A analysts, academic members and regulatory bodies.

show abstract

Section: Resultssupporting

confidence: 86%

Do mergers and acquisitions improve bank efficiency? Evidence from North Macedonia

Čiković

Lozić

Guzovski

2022

Journal of International Studies

View full text Add to dashboard Cite

show abstract

“…DEA does not provide a measure of optimal efficiency; however, it differentiates the least efficient firms from a set of all firms (Anouze and Bou-Hamad, 2019; Kabir Hassan et al , 2012; Yahya, et al , 2012; Saha and Ravisankar, 2000). Notably, in the traditional DEA model, the performance of DMUs is evaluated using only one period of data, and the effect of time variation is not considered (Peykani et al , 2021). Thus, DEA has been expanded by adding a time dimension to evaluate the performance of DMUs over time; this is called DEA window analysis (Charnes et al , 1984).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the technical efficiency of Saudi Arabian telecommunications companies using window DEA and AHP techniques

Abdel-Halim,

Al Khars,

Alnasser

2023

IMEFM

View full text Add to dashboard Cite

Purpose This study aims to evaluate the efficiency of the three telecommunications companies in Saudi Arabia: Saudi Telecom Company (STC), Mobily and Zain over the period of 2010–2019. This evaluation is a step toward improving the performance of the Saudi telecommunications sector. Design/methodology/approach Three multicriteria decision-making (MCDM) techniques were used to calculate technical efficiency. These techniques include the traditional data envelopment analysis (DEA), window DEA and analytical hierarchy process (AHP). The three inputs used were total assets, operating expenses and capital expenditures, whereas the two outputs were sales revenue and total stockholders’ equity. Findings STC was ranked first using the three techniques, followed by Zain, and then Mobily. According to the DEA window analysis, these three companies were all efficient only in 2012. The efficiency was high in the initial years, 2010–2013, when it was above 0.90, and it dropped below 0.90 in the subsequent years, 2014–2019. In addition, the efficiency of STC remained high, with an average of 0.990. However, the average efficiencies of Zain and Mobily during this period were 0.807 and 0.804, respectively. Originality/value This is the first study to use the three MCDM techniques to evaluate the performance of telecommunications providers. The results show that window DEA is better than the other two techniques at evaluating performance over time, as it has a higher discrimination power than either the traditional DEA or AHP.

show abstract

“…The stage helps to select appropriate stocks for investing. Data envelopment analysis is one of the common methods to attain this goal [68][69][70][71][72][73][74][75].…”

Section: Conclusion and Research Prospectsmentioning

confidence: 99%

Credibilistic Multi-Period Mean-Entropy Rolling Portfolio Optimization Problem Based on Multi-Stage Scenario Tree

Peykani,

Nouri,

Pishvaee

et al. 2023

Mathematics

Self Cite

View full text Add to dashboard Cite

This study considers a time-consistent multi-period rolling portfolio optimization issue in the context of a fuzzy situation. Rolling optimization with a risk aversion component attempts to separate the time periods and psychological effects of one’s investment in a mathematical model. Furthermore, a resilient portfolio selection may be attained by taking into account fuzzy scenarios. Credibilistic entropy of fuzzy returns is used to measure portfolio risk because entropy, as a measure of risk, is not dependent on any certain sort of symmetric membership function of stock returns and may be estimated using nonmetric data. Mathematical modeling is performed to compare the Rolling Model (RM) and the Unified Model (UM). Two empirical studies from the Tehran stock market (10 stocks from April 2017 to April 2019) and the global stock market (20 stocks from April 2021 to April 2023) are utilized to illustrate the applicability of the suggested strategy. The findings reveal that RM can limit the risk of the portfolio at each time, but the portfolio’s return is smaller than that of UM. Furthermore, the suggested models outperform the standard deterministic model.

show abstract

Window data envelopment analysis approach: A review and bibliometric analysis

Cited by 27 publications

References 313 publications

Do mergers and acquisitions improve bank efficiency? Evidence from North Macedonia

Do mergers and acquisitions improve bank efficiency? Evidence from North Macedonia

Evaluating the technical efficiency of Saudi Arabian telecommunications companies using window DEA and AHP techniques

Credibilistic Multi-Period Mean-Entropy Rolling Portfolio Optimization Problem Based on Multi-Stage Scenario Tree

Contact Info

Product

Resources

About