The Efficiency of Islamic General Insurance  Using Data Envelopment Analysis (DEA)

Puspitasari, Novi; Fauziyah, Laili Itsnaini

doi:10.54099/ijibmr.v2i1.134

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…To check the validity of their model, they measured the return to scale of 22 insurance companies to determine the return to scale of insurance companies in Iran. Puspitasari and Fauziyah (2022) analyzed the level of efficiency of Sharia public insurance in Indonesia. They used data envelopment analysis method with output orientation.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring returns to scale based on the triangular fuzzy DEA approach with different views of experts: Case study of Iranian insurance companies

Amiri,

Rostamy-Malkhalifeh,

Lotfi

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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The importance of insurance companies in the economic growth of countries has led to them, so in this article, the efficiency of insurance companies is measured based on inputs, favorable and unfavorable outputs. The developed model, unlike the previous models, considers the unfavorable outputs of insurance companies in conditions of uncertainty with fuzzy data based on different views of experts. The required data for each of the inputs and outputs have been provided by experts in the form of triangular fuzzy numbers. The existence of different views of experts, including optimistic, likely, and pessimistic, has led to its impact on the returns to the scale of insurance companies. The results of the survey of 24 insurance companies in Iran, based on the different views of experts, show that the more optimistic the experts' view is, the higher the average return on the scale of insurance companies compared to other views. As the expert view has shifted from optimistic to pessimistic, returns to full scale for insurance companies have declined. In this way, the average return to the scale of all insurance companies is equal to 0.8972 in the optimistic view, in the probable view it is equal to 0.8863 and in the pessimistic view it is equal to 0.8336. The uncertainty rate also affects the inputs, desirable and undesirable outputs of the model, and with the increase of this rate, the desirable inputs and outputs decrease and the undesirable outputs increase. The result of this is the reduction of the average return to the scale of insurance companies with the increase of the uncertainty rate.

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Section: Literature Reviewmentioning

confidence: 99%

Measuring returns to scale based on the triangular fuzzy DEA approach with different views of experts: Case study of Iranian insurance companies

Amiri,

Rostamy-Malkhalifeh,

Lotfi

et al. 2023

Decis. Mak. Appl. Manag. Eng.

View full text Add to dashboard Cite

show abstract

“…If the performance meets expectations, the customer will be satisfied. If performance exceeds expectations, the customer will be very satisfied or happy (Iskamto, 2017;Iskamto et al, 2020;Iskamto & Risman, 2018;Puspitasari & Fauziyah, 2022).…”

Section: Definition Of Satisfactionmentioning

confidence: 99%

The Influence of Service Quality on Customer Satisfaction: A Case Study

Syahsudarmi

2022

IJIBR

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The purpose of this study was to determine whether service quality has an effect on customer satisfaction. With a case study on a snack food supplier company. the population of this study is all suppliers who shop at PT. Sinar Niaga Sejahtera Duri-Riau, totaling 1,080 people, using the slovin formula, obtained 95 samples as respondents in this study. For hypothesis testing and data processing, SPSS version 24 was used. It was found from the determination test that the value of R square was 0.509, which means that service quality affects customer satisfaction, the value is 50.9% while the remaining 49.1% is influenced by other independent variables. not observed in this study.

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Veri Zarflama Analizi ile Hayat Dışı Sigorta Şirketlerinin Etkinliklerinin Değerlendirilmesi: Türkiye'den Kanıtlar

Çilek,

Şeyranlıoğlu

2024

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi

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Türkiye’de bulunan hayat dışı sigorta şirketlerinin etkinliklerinin 2022-2023 döneminde ölçülmesi ve değerlendirilmesi amaçlanmıştır. Bu çalışmada, Türkiye’de faaliyette bulunan hayat dışı sigorta şirketlerinin etkinliklerini incelemek amacıyla Veri Zarflama Analizi (VZA) yöntemi kullanılmıştır. Hayat dışı sigorta şirketlerinin etkinlik düzeyleri çıktı odaklı olarak CCR ve BCC modelleri ile analiz edilerek karşılaştırılmıştır. 2022 yılında CCR modeli bulgularına göre 42 hayat dışı sigorta şirketinden 5 tanesi etkin, 37 tanesi etkin değildir ve etkinlik düzeyi en düşük olan şirket 0,1680 ile Gri Sigorta’dır. BCC modeli bulgularına göre 8 tanesi etkin, 34 tanesi etkin değildir ve etkinlik düzeyi en düşük olan şirket 0,170 ile Gri Sigorta’dır. 2023 yılında CCR modeli bulgularına göre 44 hayat dışı sigorta şirketinden 4 tanesi etkin, 40 tanesi etkin değildir ve etkinlik düzeyi en düşük olan şirket 0,265 ile Generali Sigorta’dır. BCC modeli bulgularına göre 12 tanesi etkin, 32 tanesi etkin değildir ve etkinlik düzeyi en düşük olan şirket 0,281 ile Generali Sigorta’dır. Literatürde, hayat dışı sigorta şirketleriyle ilgili 2022-2023 dönemini kapsayan, CCR ve BBC modelleri birlikte kullanılarak ölçek etkinliği de hesaplanan bir çalışmaya rastlanılmamıştır. Etkin olmayan şirketlerin projeksiyon değerlerine ulaşabilecek politika ve stratejiler ile etkin duruma gelerek ülke ekonomisine olumlu katkı sağlayacaktır.

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The Efficiency of Islamic General Insurance Using Data Envelopment Analysis (DEA)

Cited by 3 publications

References 6 publications

Measuring returns to scale based on the triangular fuzzy DEA approach with different views of experts: Case study of Iranian insurance companies

Measuring returns to scale based on the triangular fuzzy DEA approach with different views of experts: Case study of Iranian insurance companies

The Influence of Service Quality on Customer Satisfaction: A Case Study

Veri Zarflama Analizi ile Hayat Dışı Sigorta Şirketlerinin Etkinliklerinin Değerlendirilmesi: Türkiye'den Kanıtlar

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