Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Conference Object Web Service-Based Turkish Automatic Speech Recognition Platform(Institute of Electrical and Electronics Engineers Inc., 2020) Polat, Huseyin; Sever, Hayri; Oyucu, SaadinConference Object Small and Unbalanced Data Set Problem in Classification(Institute of Electrical and Electronics Engineers Inc., 2019) Akcapinar Sezer, Ebru; Sever, Hayri; Par, Oznur EsraArticle Sequential Langevin Equations Involving a Generalized Type of Caputo Derivatives(Kyungnam University Press, 2026) Fettouch, Houari; Dahmani, Zoubir; Beddani, Hamid; Ibrahim, Rabha Wael; Jarad, FahdConference Object Reinforcement Learning Meets the Cloud: A Q Learning Framework for Efficient Task Scheduling(Institute of Electrical and Electronics Engineers Inc., 2025) Boke, Kivilcim Naz; Qadri, Syed Shah Sultan Mohiuddin; Kabarcik, AhmetEditorial Preface(de Gruyter, 2019) Baleanu, Dumitru; Lopes, António MendesEditorial Preface(de Gruyter, 2019) Baleanu, Dumitru; Lopes, António Mendes; Hristov, Jordan; Anastassiou, George A.; Karapınar, Erdal; Salim, Abdelkrim; Benchohra, Mouffak; Singh, Jagdev; Cattani, Carlo; Kumar, Devendra; Dutta, Hemen; Lazreg, Jamal EddineEditorial Preface(Springer Verlag, 2015) Kemaneci, Kerem; Akkaya, Mariye Umay; Poth, Alexander; Messnarz, Richard; O’Connor, Rory V.; Yilmaz, MuratConference Object Predicting Varicose Vein Recurrence Post-Cyanoacrylate Glue Surgery Using Machine Learning Models(Institute of Electrical and Electronics Engineers Inc., 2025) Karadeniz, Talha; Ahmed, Ruaa Saad Ahmed; Enver, Levent; Sungur, Elif Coskun; Tokdemir, GulArticle Population Dynamic Caused by War Involvement via Fractional Derivative on Time Scales(Inderscience Publishers, 2019) Baleanu, Dumitru; Agheli, Bahram; Neamaty, Abdolali; Nategh, MehdiArticle Messaging Brand Experience: Brand Ethicality, Brand Trust, Brand Attitudes(Taylor & Francis Ltd, 2026) Ozsacmaci, Bulent; Kilic, Tamer; Dursun, Tolga; Celik, SuleymanMessaging applications (e.g. WhatsApp/Telegram/Signal-type platforms) have become high-frequency touchpoints within integrated marketing communications. This study examines how the brand experience of messaging applications translates into brand attitudes through two parallel mechanisms: perceived brand ethicality and brand trust. We theorize that ethicality and trust serve as communication signals that arise from interface-level design and governance choices, such as plain-language privacy notices, granular consent flows, visible encryption and reliability cues, and third-party assurances. Using survey data from active messaging users, we validated the measurement model via CFA and tested a parallel-mediation structure with bootstrapped indirect effects. Results indicate that messaging brand experience exerts a positive direct effect on brand attitudes and significant indirect effects through both brand ethicality and brand trust, confirming that persuasion in messaging hinges on credibility and transparency signals embedded in the journey. Robustness checks across alternative specifications support these findings. Theoretically, the paper integrates behavioural foundations of persuasion with corporate communication by reframing governance artefacts as source/message credibility cues that shape ethical inferences and risk reduction. Managerially, the results recommend making ethical and reliability signals salient within messaging flows, aligning privacy-by-default language with value propositions, and orchestrating assurance elements across channels to improve attitudes and downstream performance.