Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs

Omrani, Hashem; Emrouznejad, Ali; Shamsi, Meisam; Fahimi, Pegah

doi:10.1016/j.seps.2022.101306

Cited by 25 publications

(9 citation statements)

References 38 publications

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“…Nevertheless, this study has one limitation, that is the current DEA model cannot deal with negative and missing data. erefore, future research could refer to the work of Omrani and Emrouznejad [90] and Gardijan and Lukač [91]. In the future, under the condition that the data can be obtained, different network structures can be further developed for a more in-depth analysis, and the impact of the external environment on the performance can also be considered [92,93].…”

Section: Discussionmentioning

confidence: 99%

[Retracted] Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies

Kao

Dinh²,

Nguyen

2022

Discrete Dynamics in Nature and Society

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This study evaluates the profitability and marketability efficiencies of digital firms ranked in Forbes’ list of top companies by using a two-stage network data envelopment analysis (DEA) model with multiplicative efficiency aggregation under the second-order cone programming (SOCP) and examines the respective impacts of the 1995–2001 dot-com bubble and the 2007–2009 global financial crisis on the companies’ efficiencies by applying impulse response function (IRF) analysis. The data of our 49 sampled companies are derived from the Compustat database. The covered period is 1999–2018. These results present the stable and increasing improvement of profitability and marketability efficiencies; in addition, two crisis events have no significant impact on the performance of digital firms. This research is supposed to offer a reasonable and objective evaluation model to measure the performance of digital firms, providing the managers and investors a reference for making their decision.

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Section: Discussionmentioning

confidence: 99%

[Retracted] Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies

Kao

Dinh²,

Nguyen

2022

Discrete Dynamics in Nature and Society

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“…Further expansions in the approaches to encounter the negative or zero values in inputs and outputs of the data were suggested by [38,39,40,41,42,43,44] by proposing a dynamic fuzzy network DEA approach. Moreover, [26] introduced an innovative fuzzy multiple objective network DEA approach.…”

Section: Related Workmentioning

confidence: 99%

“…Firstly, [22] introduced the α-cut approach, which uses a pair of two levels of the α-cut method to assess efficiency scores in uncertain conditions. Building on [22] work, subsequent research employed fuzzy variables and the α-cut approach to evaluate efficiency, as seen in studies by [23,24,25,26,27], which was proposed by [28]. [29] constructed a novel approach that extends the fuzzy DEA model utilizing the local α-cut, addressing some of the drawbacks of the α-cut method, particularly its inability to encompass all uncertain information.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Efficiency Assessment of Egyptian Pharmaceutical Companies through the Usage of Two-Stage Uncertainty Data Envelopment Analysis Algorithm

El-Demerdash,

Ming,

Abelrahman

2024

Preprint

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Evaluating the performance of pharmaceutical manufacturing companies is crucial for their success and competitiveness in the rapidly evolving Egyptian market. However, traditional data envelopment analysis (DEA) approaches often overlook the inherent uncertainty in the data, which can significantly impact efficiency assessments. To address this issue, this paper proposes a novel integrated DEA model to enhance the efficiency assessment of Egyptian pharmaceutical manufacturing companies. This two-stage framework effectively handles imprecise and ambiguous data, accommodating various forms of uncertainty, including fuzzy, stochastic, and neutrosophic data, alongside deterministic data. The results demonstrate that the proposed model outperforms traditional DEA models in capturing data uncertainty and providing more accurate efficiency evaluations.

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“…ambiguous and vague. In these situations, fuzzy logic presents a flexible proposition to assess the level of non-determinacy in each case [ 18 , 19 ]. The application of fuzzy theory introduced by Zadeh [ 20 ] has received considerable attention in the DEA literature to deal with the inherent ambiguity.…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic

Pourmahmoud

Bagheri

2023

Socio-Economic Planning Sciences

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Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs

Cited by 25 publications

References 38 publications

[Retracted] Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies

[Retracted] Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies

Enhancing Efficiency Assessment of Egyptian Pharmaceutical Companies through the Usage of Two-Stage Uncertainty Data Envelopment Analysis Algorithm

Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic

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