USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES
Website usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website. Checklists, heuristic evaluations, expert evaluations, surveys and user tests are presented as the most popular methods for the evalu...
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| Format: | Article |
| Language: | English |
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Eskişehir Osmangazi University
2019-08-01
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| Series: | Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://doi.org/10.31796/ogummf.563348 |
| _version_ | 1797923199369871360 |
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| author | N. Fırat Özkan Fulya GÖKALP YAVUZ |
| author_facet | N. Fırat Özkan Fulya GÖKALP YAVUZ |
| author_sort | N. Fırat Özkan |
| collection | DOAJ |
| description | Website usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website. Checklists, heuristic evaluations, expert evaluations, surveys and user tests are presented as the most popular methods for the evaluation of websites. Especially e-commerce websites’ usability has a critical importance due to the rising in competence and the rising in the number of e-commerce websites. The diversity of e-commerce websites evokes typical example of multi criteria decision making (MCDM) issue in daily life of humanity. Since different user groups have different expectations from the websites, the evaluation method should be structured to include appropriate measurement criteria. The main aim and the target users of the website should be considered attentively while defining the evaluation method. In this study, the most visited (Based on Alexa.com list in January, 2018) e-commerce websites in Turkey are compared in terms of usability. Criteria are decided based on the study which was published by Lee and Kozar (2015). Two different weighting approaches are integrated to TOPSIS method. One of these approaches is fuzzy expert evaluation and the other one is weighted regression estimate. We aim to discover different different impressions between e-commerce website designers and users on the same criteria to provide a comprehensive viewpoint. |
| first_indexed | 2024-04-10T14:44:02Z |
| format | Article |
| id | doaj.art-cf482e9b2ef5404e88a9a17953b0322a |
| institution | Directory Open Access Journal |
| issn | 2630-5712 2630-5712 |
| language | English |
| last_indexed | 2024-04-10T14:44:02Z |
| publishDate | 2019-08-01 |
| publisher | Eskişehir Osmangazi University |
| record_format | Article |
| series | Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi |
| spelling | doaj.art-cf482e9b2ef5404e88a9a17953b0322a2023-02-15T16:08:04ZengEskişehir Osmangazi UniversityEskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi2630-57122630-57122019-08-01272https://doi.org/10.31796/ogummf.563348USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTESN. Fırat ÖzkanFulya GÖKALP YAVUZWebsite usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website. Checklists, heuristic evaluations, expert evaluations, surveys and user tests are presented as the most popular methods for the evaluation of websites. Especially e-commerce websites’ usability has a critical importance due to the rising in competence and the rising in the number of e-commerce websites. The diversity of e-commerce websites evokes typical example of multi criteria decision making (MCDM) issue in daily life of humanity. Since different user groups have different expectations from the websites, the evaluation method should be structured to include appropriate measurement criteria. The main aim and the target users of the website should be considered attentively while defining the evaluation method. In this study, the most visited (Based on Alexa.com list in January, 2018) e-commerce websites in Turkey are compared in terms of usability. Criteria are decided based on the study which was published by Lee and Kozar (2015). Two different weighting approaches are integrated to TOPSIS method. One of these approaches is fuzzy expert evaluation and the other one is weighted regression estimate. We aim to discover different different impressions between e-commerce website designers and users on the same criteria to provide a comprehensive viewpoint.https://doi.org/10.31796/ogummf.563348multicriteriae-commercewebsitesregressionfuzzy topsis |
| spellingShingle | N. Fırat Özkan Fulya GÖKALP YAVUZ USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi multicriteria e-commerce websites regression fuzzy topsis |
| title | USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES |
| title_full | USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES |
| title_fullStr | USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES |
| title_full_unstemmed | USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES |
| title_short | USİNG FUZZY TOPSIS AND REGRESSİON BASED WEİGHTS TO RANK E-COMMERCE WEBSİTES |
| title_sort | using fuzzy topsis and regression based weights to rank e commerce websites |
| topic | multicriteria e-commerce websites regression fuzzy topsis |
| url | https://doi.org/10.31796/ogummf.563348 |
| work_keys_str_mv | AT nfıratozkan usingfuzzytopsisandregressionbasedweightstorankecommercewebsites AT fulyagokalpyavuz usingfuzzytopsisandregressionbasedweightstorankecommercewebsites |