Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11878
Title: E-Shopping Sites Preference Analysis With Multi-Criteria Decision-Making Methods
Authors: Erat V.
Erdebilli B.
Keywords: e-shopping
MOORA
MOOSRA
Multiple Criteria Decision Making (MCDM)
Pairwise Comparison
TOPSIS
Marketplaces
Product design
Shopping centers
E-shopping
MOORA
MOOSRA
Multicriteria decision making methods
Multiple criteria decision making
Pair-wise comparison
Shopping sites
Site preferences
TOPSIS
Web Design
Publisher: Springer Science and Business Media Deutschland GmbH
Abstract: In light of advancing technology, the prevalence of internet usage has significantly increased. Presently, individuals inclined to optimize their time gravitate towards e-commerce platforms. This research focuses on evaluating the five most popular e-shopping sites in Turkey, namely Trendyol, Hepsiburada, Amazon, Getir, and Morhipo. Seven criteria were employed for the assessment: site design, product variety, reliability, detailed filtering, service quality, ease of site use, and price. The study utilized the Multi- Criteria Decision Making (MCDM) methods, specifically MOOSRA, MOORA, and TOPSIS, and compared their outcomes. The Pairwise Comparison method was employed to determine criterion weights. The findings revealed that price emerged as the most pivotal criterion, whereas site design held the least significance. Application of MOOSRA, MOORA, and TOPSIS consistently ranked Trendyol as the top-performing e-shopping site. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Description: 2nd International Conference on Science, Engineering Management and Information Technology, SEMIT 2023 -- 14 September 2023 through 15 September 2023 -- Ankara -- 318919
URI: https://doi.org/10.1007/978-3-031-72284-4_5
https://hdl.handle.net/20.500.11851/11878
ISBN: 978-303172283-7
ISSN: 1865-0929
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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