Publicação
Scraping the web for evidence of price discrimination
| Resumo: | This paper exhibits a study about the practice of price personalisation on e-commerce websites. With this goal, eleven websites were analysed from three different industries: Fashion retail, General Retail and Travel. Moreover, to find evidence of this practice, the differentiated features tested were the device, operating system (OS), browser, and geolocation of the visiting user. Furthermore, two dimensions of price personalisation were conducted in-depth: price discrimination and price steering. Finally, summarised research about the existing laws and their implications is also presented in this report. |
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| Autores principais: | Mendes, Tomás |
| Assunto: | Price personalization Price discrimination Price steering Data science Web scraping Data analysis GDPR |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | This paper exhibits a study about the practice of price personalisation on e-commerce websites. With this goal, eleven websites were analysed from three different industries: Fashion retail, General Retail and Travel. Moreover, to find evidence of this practice, the differentiated features tested were the device, operating system (OS), browser, and geolocation of the visiting user. Furthermore, two dimensions of price personalisation were conducted in-depth: price discrimination and price steering. Finally, summarised research about the existing laws and their implications is also presented in this report. |
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