İnovasyon Yöneti̇mi̇ Süreçleri̇ni̇ Etki̇leyen Faktörleri̇n Kahramanmaraş’ta Faali̇yet Gösteren Kobi̇'ler Üzeri̇nden İncelenmesi̇

Korkmaz, İbrahim Halil; Taşkesen, Aydın Can; Çetinkaya, Cihan

doi:10.33723/rs.424698

Cited by 2 publications

References 11 publications

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Evaluation of Innovation Performance With AHP and TOPSIS Integrated Approach

Öztürk

Hancıoğlu

2021

Handbook of Research on Recent Perspectives on Management, International Trade, and Logistics

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The aim of the study is to determine the most appropriate enterprises by revealing the innovation performances of the companies operating in the hazelnut sector in Ünye. In this study, weights of the criteria and sub-criteria, which are thought to have an effect on the innovation performance of the enterprises, were determined by analytical hierarchy process (AHP). TOPSIS method has been used to rank the alternatives. In this way, TOPSIS aims to establish a degree of importance for each alternative enterprise and to determine the highest degree of importance as the most appropriate enterprise in terms of innovation performance. As a result of the study, it was determined that the main criterion that most affects innovation performance in hazelnut sector is the financing function, which is followed by production function, R&D function, management function, and marketing function, respectively. According to the results obtained using the TOPSIS method, the best alternative was Enterprise 4 in terms of innovation performance and the worst alternative was Enterprise 1.

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Evaluation of Innovation Performance With AHP and TOPSIS Integrated Approach

Öztürk

Hancıoğlu

2021

Handbook of Research on Recent Perspectives on Management, International Trade, and Logistics

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İnovasyon Üretkenliğine Etki Eden Faktörlerin Pisagor Bulanık AHP Yöntemi İle Değerlendirilmesi

ÇELİK,

YILDIZ

2024

Verimlilik Dergisi

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Purpose: In this study, it is aimed to rank the factors affecting the innovation productivity of enterprises. Methodology: The Pythagorean Fuzzy Analytical Hierarchy Process (AHP) method, which gives successful results in modelling uncertainty and uses Pythagorean fuzzy sets, is used to rank the factors affecting innovation productivity according to their importance. Findings: In the application part of study firstly, the factors affecting the innovation productivity were determined and as a result of expert evaluations, the steps of the method were applied and the factors were ranked according to their importance. Finally, the most important factors were determined by performing a sensitivity analysis. When the results obtained from the study are examined, it has been determined that the factor of preparing the technology roadmap affects the innovation productivity the most, while the sector and market structure affect the innovation productivity the least among the determined factors. Originality: It is the first study in the literature in which the factors affecting innovation productivity are determined and ranked according to their importance.

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İnovasyon Yöneti̇mi̇ Süreçleri̇ni̇ Etki̇leyen Faktörleri̇n Kahramanmaraş’ta Faali̇yet Gösteren Kobi̇'ler Üzeri̇nden İncelenmesi̇

Cited by 2 publications

References 11 publications

Evaluation of Innovation Performance With AHP and TOPSIS Integrated Approach

Evaluation of Innovation Performance With AHP and TOPSIS Integrated Approach

İnovasyon Üretkenliğine Etki Eden Faktörlerin Pisagor Bulanık AHP Yöntemi İle Değerlendirilmesi

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