G20 Ülkelerinin İnovasyon Performans Analizi: COVID-19 Dönemini İçeren Yeni Bütünleşik LOPCOW-MAIRCA ÇKKV Yaklaşımı

Year 2024, PRODUCTIVITY FOR INNOVATION, 1 - 20, 15.01.2024

Tayfun Öztaş , Gülin Zeynep Öztaş

https://doi.org/10.51551/verimlilik.1320794

Cited By: 3

Abstract

Amaç: Bu çalışmada G20 ülkelerinin 2018-2022 yılları içerisindeki inovasyon performanslarının çok kriterli karar verme yöntemleri ile ele alınması amaçlanmaktadır. Ayrıca ülkelerin 5 yıllık performansları incelenerek COVID-19 salgınının inovasyon performanslarına bir etkisinin olup olmadığı da irdelenmektedir.
Yöntem: Çalışmada bütünleşik bir LOPCOW (LOgarithmic Percentage Change-driven Objective Weighting) - MAIRCA (Multi Attribute Ideal-Real Comparative Analysis) yöntemi uygulanmıştır. İlk olarak inovasyon performansını temsil eden göstergeler (kurumlar, beşerî sermaye ve araştırma, altyapı, pazar gelişmişliği, iş gelişmişliği, bilgi ve teknoloji çıktıları, yaratıcı çıktılar) LOPCOW yöntemi ile objektif olarak ağırlıklandırılmıştır. Daha sonra G20 ülkelerinin inovasyon performansları MAIRCA yöntemi ile hesaplanmıştır. Son olarak, elde edilen bulguları desteklemek için karşılaştırmalı bir analiz de sunulmuştur.
Bulgular: Çok kriterli karar verme yöntemleriyle ele alınan inovasyon performans analizi sonucunda, beşerî sermaye ve araştırma en önemli gösterge, Birleşik Devletler de en iyi inovasyon performansına sahip ülke olarak elde edilmiştir. Duyarlılık ve karşılaştırmalı analiz sonucunda ise, bütünleşik LOPCOW-MAIRCA yönteminin güçlü ve güvenilir çıktılar sunduğu sonucuna varılmıştır.
Özgünlük: Bu çalışma 2018-2022 dönemini göz önünde bulundurarak COVID-19 salgınının ülkelerin inovasyon performansı üzerindeki etkisini incelemesi ve kullandığı bütünleşik çok kriterli karar verme yöntemlerinin literatürde henüz uygulanmamış olması nedenleriyle özgün katkılar sunmaktadır.

Keywords

İnovasyon verimliliği, Performans analizi, ÇKKV, LOPCOW, MAIRCA

Innovation Performance Analysis of G20 Countries: A Novel Integrated LOPCOW-MAIRCA MCDM Approach Including the COVID-19 Period

Abstract

Purpose: This study aims to examine the innovation performance of G20 countries in 2018-2022 with multi criteria decision making methods. When the 5-year performance was analyzed, it was also revealed whether the COVID-19 outbreak has an impact on the innovation performance of the countries.
Methodology: An integrated LOPCOW (Logarithmic Percentage Change-driven Objective Weighting) - MAIRCA (Multi Attribute Ideal-Real Comparative Analysis) method was applied in the study. First, the indicators representing innovation performance (institutions, human capital, and research, infrastructure, market sophistication, business sophistication, knowledge and technology outputs, creative outputs) was objectively weighted by the LOPCOW method. Then, the innovation performance of G20 countries was calculated with the MAIRCA method. Finally, a comparative analysis was also presented to support the findings.
Findings: As a result of the innovation performance analysis using multi criteria decision making methods, human capital, and research were found to be the most important indicators, and the United States was found to be the country with the best innovation performance. In the sensitivity and comparative analysis, it was concluded that the integrated LOPCOW-MAIRCA method provides robust outputs.
Originality: This study makes original contributions by analyzing the impact of the COVID-19 pandemic on the innovation performance of countries considering the 2018-2022 period and the integrated multi criteria decision making methods it uses that have not yet been applied in the literature.

Keywords

Innovation productivity, Performance analysis, MCDM, LOPCOW, MAIRCA

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