Tang, Zhi Peng and Abdullah, Rohani (2020) Behavioural intention to use facebook’s recommender system among students of STML UUM. Symposium on Technology Management and Logistics (STML Go Green) 2019: Management of Technology, Volume 1, 1 (19). pp. 47-48. ISSN eISBN: 978-967-2296-21-0

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Abstract

This research is based on an application of Big Data, which is Facebook’s recommender system. The objective of this research is to investigate the relationship of perceived ease of use, perceived usefulness, attitude and behavioural intention towards using Facebook’s recommender system. This study is using quantitative approach, by distributing to the students of STML UUM and the result is interpreted by using IBM SPSS version 25. The findings of this research found that students are reacting positively towards the usage of Facebook’s recommender system. It is hoped that the Facebook’s authority will be improving the privacies and confidentiality aspects of accessing Facebook’s user data

Item Type:	Article
Uncontrolled Keywords:	Facebook, recommender system, big data, STML UUM students, Technology Acceptance Model
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	School of Technology Management & Logistics
Depositing User:	Mrs Nurin Jazlina Hamid
Date Deposited:	26 Sep 2021 07:52
Last Modified:	26 Sep 2021 07:52
URI:	https://repo.uum.edu.my/id/eprint/28323

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