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    From moral mapping to a hybrid framework for corporate local responsibility (color): Integrating multilingual electronic brainwriting and Intuitionistic Fuzzy AHP
    (Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi, 2026) Çetin, Mahmut Berkan; Gündüz, Selim
    Corporate Responsibility (CR) faces an accountability dilemma in which insufficient measurement techniques fail to satisfy growing societal demands. A transparent and participative evaluation approach is urgently required since mainstream paradigms, such as opaque ESG ratings and firm-centric CSR reports, often overlook local context and authentic stakeholder voice. This thesis addresses this gap by first investigating the theoretical foundations of CR through moral mapping, and then defining and testing the Corporate Local Responsibility (COLOR) model, which is operationalized using a novel mixed-methodology. This novel framework introduces and integrates the anonymous multilingual customizable structured electronic brainwriting (mCSEB) technique for stakeholder-driven criteria generation with the Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) for transparent, weighted evaluation, which has been verified empirically in the Turkish textile industry. The results show that this approach effectively identifies performance gaps that conventional methodologies are unable to reveal through transforming multilayered stakeholder inputs into an intuitive and useful quantitative score. Overall, the study puts forward a reproducible methodology that converts CR measurement from a passive, expert-driven judgment to a collaborative governance instrument, therefore aiming to offer a more credible and efficient method for holding companies accountable for their actions.