The effects of pictures, review credibility and personalization on users satisfaction of using restaurant recommender apps: Case study: Zomato dan qraved

Nur Fazri Ilham, Putu Wuri Handayani, Fatimah Azzahro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This study aims to determine the effects of pictures, reviews credibility and personalization feature on users' satisfaction in accessing restaurant recommender apps. This study uses a quantitative approach with a total of 419 collected respondents. The data gathered within this study is being analyzed using multiple regressions using SPSS 22.0. The results of this study indicate that pictures and reviews credibility are affecting user satisfaction on using restaurant recommender apps. Additionally, providing personalization on a restaurant recommender apps may also improve its user satisfaction in accessing the apps.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Informatics and Computing, ICIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538629840
DOIs
Publication statusPublished - 2 Feb 2018
Event2nd International Conference on Informatics and Computing, ICIC 2017 - Jayapura, Papua, Indonesia
Duration: 1 Nov 20173 Nov 2017

Publication series

NameProceedings of the 2nd International Conference on Informatics and Computing, ICIC 2017
Volume2018-January

Conference

Conference2nd International Conference on Informatics and Computing, ICIC 2017
CountryIndonesia
CityJayapura, Papua
Period1/11/173/11/17

Keywords

  • personalization features
  • photos
  • restaurant recommender
  • review credibility
  • user satisfaction

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