Scopus İndeksli Açık & Kapalı Erişimli Yayınlar

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Author: search.filters.author.Atalay, Kumru DidemSubject: search.filters.subject.VIKOR

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    Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era
    (2021) Samanci, Simge; Atalay, Kumru Didem; Isin, Feride Bahar
    This study reveals how to improve and define the issues of service quality in the airline sector after the outbreak of COVID-19, to what extent customer needs (important issues) and expectations (expected performances) will differ, and the priorities of airline sector managers in terms of resource allocation, costs, planned strategies, and operational efficiency and effectiveness. It offers a systematic and interactive perspective by simultaneously providing the perspective of both airline managers and passengers by using a new hybrid method, namely Fuzzy Importance, Expected Performance, and Priority Analysis (FIEPA) with VIKOR. This method allows the use of different perspectives of different managers in the analysis, which can be prioritized with different weights. According to the results of the study, in which 449 passengers participated on Twitter, the attributes on which airline managers should focus were determined, having three distinctive characteristics of being important for customers, having high priority according managers, and having low expected performance according customers. Twenty-two attributes related to the service quality of airlines during outbreak periods were classified into three main dimensions as "social distance and hygiene during flight", "information awareness and concern", and "infection alert procedure".
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    The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches
    (2021) Kocak, Serdar; Ic, Yusuf Tansel; Atalay, Kumru Didem; Sert, Mustafa; Dengiz, Berna; 0000-0001-9274-7467; AGE-3003-2022
    This paper proposes a new approach for the selection of reviewers to evaluate research and development (R&D) projects using a new integrated hesitant fuzzy VIKOR and TOPSIS methodology. A reviewer selection model must have a multi-level framework in which reviewer selection strategies and related objectives guide the second level of the reviewer performance ranking process. The model must measure reviewer performance related to the activities that are necessary for the R&D project evaluation to be successful. A novel model is presented in this paper. In the proposed methodology, the aim is to select a reviewer in a hierarchical decision-making structure. The selection criteria values and their weights were obtained using the hesitant fuzzy VIKOR method. For the selection of a suitable reviewer, the conventional TOPSIS model was used. We developed a simpler procedure for effectively performing the reviewer selection process. The new approach was tested with a real case study and satisfactory results were obtained. A comparative analysis is also included in the article for illustrative purposes.