Title: A decision-making approach for open innovation model selection in the Turkish automotive industry

Authors: Ayşe Demir; İskender Peker; A. Cansu Gök

Addresses: Department of Business Administration, Gumushane University, Gümüşhane, Turkey ' Department of Business Administration, Gumushane University, Gümüşhane, Turkey ' Department of International Trade and Logistics, Hitit University, Çorum, Turkey

Abstract: The concept of open innovation (OI) has become crucial in the sustainable competitiveness of industries. The selection and application of appropriate OI models for businesses also compose an important research question. This study aims to decide the most suitable OI model in the Turkish automotive industry through a three-step multi-criteria decision-making (MCDM) model. Firstly, the criteria that may affect the evaluation of the OI models are stated and weighted by analytic hierarchy process (AHP). Afterward, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is used to rank the OI models that can be implemented in the automotive industry. In the last phase, the impacts of differentiation in criteria weights are tested with one-dimensional sensitivity analysis. According to the results, the coupled open innovation model is ranked as the best alternative and the differentiation in criterion weights does not affect this ranking. This study is the first attempt that attains the most suitable OI model in the automotive industry by a hybrid MCDM approach.

Keywords: open innovation models; multi-criteria decision-making; MCDM; automotive industry; VIKOR.

DOI: 10.1504/IJMCDM.2023.134926

International Journal of Multicriteria Decision Making, 2023 Vol.9 No.4, pp.379 - 405

Received: 22 Dec 2021
Accepted: 17 Jan 2023
Published online: 21 Nov 2023 *

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