Determining the Importance Level of Sustainable Innovation Applications via Hesitant AHP: An Application on Food Firms

Authors

https://doi.org/10.22105/masi.v2i3.74

Abstract

Sustainable innovation, which is the innovation element focused on environmental, social and common awareness and creating value today, has directed businesses to new application and awareness-raising areas not only in today but in future generations. It builds itself a new stance apart from the traditional business forms with the dynamics it contains in the concept and aims to increase the basic capabilities of the enterprises. So, in the new world order brought about by globalization, there are serious socio-economic crises, and it is important that organizations mobilize and implement sustainable innovations. With this regard, elements for sustainable innovation organizations can be classified as economical, social, regulations, market demand, information management, cross-functional cooperation, organization culture, new career opportunities, management commitment, technical innovations and non-technical innovations. The important elements for sustainable innovation organizations listed above are also seen as one of the important building blocks for the needs of future generations. In the comprehensive literature review, the existence of a limited number of studies regarding the degree of importance for sustainable innovation elements is another factor that increases the importance of the subject. In this study, the degree of importance for sustainable innovation elements in food manufacturing enterprises with 10 or more employees in Erzurum has been determined. Hesitant fuzzy sets based Analytic Hierarchy Process (AHP) was applied in the analysis section.

Keywords:

Innovation, Sustainability, Sustainable innovation, Hesitant fuzzy sets, Analytic hierarchy process

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Published

2025-07-15

How to Cite

Korucuk, S. ., & Karamaşa, Çağlar . (2025). Determining the Importance Level of Sustainable Innovation Applications via Hesitant AHP: An Application on Food Firms. Management Analytics and Social Insights, 2(3), 182-193. https://doi.org/10.22105/masi.v2i3.74

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