The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.]
One of the common problems faced by customers before shopping online is choosing the best shopping website to shop online. This is because there are many cases that the goods received do not reach their expectations. Therefore, it is important for the customers to choose the right shopping website t...
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| Format: | Article |
| Language: | en |
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Unit Penerbitan UiTM Kelantan
2021
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| Online Access: | https://ir.uitm.edu.my/id/eprint/57018/1/57018.pdf https://ir.uitm.edu.my/id/eprint/57018/ https://jmcs.com.my/ |
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| author | Aziz, Nurul Suhada Mohd Noor, Nurhaifa Izzaty Azira Md Faisal, Nur Amira Shahida Sharidi, Nur Syafiqa |
| author_facet | Aziz, Nurul Suhada Mohd Noor, Nurhaifa Izzaty Azira Md Faisal, Nur Amira Shahida Sharidi, Nur Syafiqa |
| author_sort | Aziz, Nurul Suhada |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | One of the common problems faced by customers before shopping online is choosing the best shopping website to shop online. This is because there are many cases that the goods received do not reach their expectations. Therefore, it is important for the customers to choose the right shopping website that can be trusted. This study implements fuzzy TOPSIS to rank the best online shopping website. Factors that influence customers’ selection are the technology acceptance factor, website service quality and specific holdup cost. Decision-makers are asked to rank these factors by giving rank from very high (VH) to very low (VL) for criterion assessment weight, while for alternative assessment from very good (VG) to very poor (VP); very high and very good indicate the most influencing factor while very low and very poor indicate the least influencing factors. Each data ranking is transformed into matrix form to get a normalized decision matrix (NDM). After that, the weighted normalized decision matrix and the distance of each alternative from the worse condition and the best condition were calculated. Lastly, the closeness of coefficient of each alternative was obtained and all the alternatives were ranked. The performance and ranking were measured based one the value of the relative closeness. |
| format | Article |
| id | my.uitm.ir-57018 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2021 |
| publisher | Unit Penerbitan UiTM Kelantan |
| record_format | eprints |
| spelling | my.uitm.ir-570182022-06-28T02:51:53Z https://ir.uitm.edu.my/id/eprint/57018/ The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] jmcs Aziz, Nurul Suhada Mohd Noor, Nurhaifa Izzaty Azira Md Faisal, Nur Amira Shahida Sharidi, Nur Syafiqa Business Consumer behavior. Consumers' preferences. Consumer research. Including consumer profiling Mathematical statistics. Probabilities Fuzzy decision making One of the common problems faced by customers before shopping online is choosing the best shopping website to shop online. This is because there are many cases that the goods received do not reach their expectations. Therefore, it is important for the customers to choose the right shopping website that can be trusted. This study implements fuzzy TOPSIS to rank the best online shopping website. Factors that influence customers’ selection are the technology acceptance factor, website service quality and specific holdup cost. Decision-makers are asked to rank these factors by giving rank from very high (VH) to very low (VL) for criterion assessment weight, while for alternative assessment from very good (VG) to very poor (VP); very high and very good indicate the most influencing factor while very low and very poor indicate the least influencing factors. Each data ranking is transformed into matrix form to get a normalized decision matrix (NDM). After that, the weighted normalized decision matrix and the distance of each alternative from the worse condition and the best condition were calculated. Lastly, the closeness of coefficient of each alternative was obtained and all the alternatives were ranked. The performance and ranking were measured based one the value of the relative closeness. Unit Penerbitan UiTM Kelantan 2021-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/57018/1/57018.pdf The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.]. (2021) Journal of Mathematics and Computing Science (JMCS) <https://ir.uitm.edu.my/view/publication/Journal_of_Mathematics_and_Computing_Science_=28JMCS=29/>, 7 (2). pp. 141-149. ISSN 0128-0767 https://jmcs.com.my/ |
| spellingShingle | Business Consumer behavior. Consumers' preferences. Consumer research. Including consumer profiling Mathematical statistics. Probabilities Fuzzy decision making Aziz, Nurul Suhada Mohd Noor, Nurhaifa Izzaty Azira Md Faisal, Nur Amira Shahida Sharidi, Nur Syafiqa The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title | The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title_full | The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title_fullStr | The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title_full_unstemmed | The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title_short | The best online shopping website using fuzzy TOPSIS approach / Nurul Suhada Aziz ...[et al.] |
| title_sort | best online shopping website using fuzzy topsis approach / nurul suhada aziz ...[et al.] |
| topic | Business Consumer behavior. Consumers' preferences. Consumer research. Including consumer profiling Mathematical statistics. Probabilities Fuzzy decision making |
| url | https://ir.uitm.edu.my/id/eprint/57018/1/57018.pdf https://ir.uitm.edu.my/id/eprint/57018/ https://jmcs.com.my/ |
| url_provider | http://ir.uitm.edu.my/ |