Descriptive findings regarding factors influencing mobile application acceptance among millennial in Malaysia

Although mobile phones have been used widely by millennial generation within the age group of 20-34 there is very limited knowledge about their intention to use mobile application. This paper presents descriptive results regarding factors influencing mobile application intention behavior among mille...

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Bibliographic Details
Main Authors: Ibrahim, Nuradilah, Maarop, Nurazean, Samy, Ganthan Narayana, Hassan, Noor Hafizah, Abas, Hafiza, Mohd. Zainuddin, Norziha Megat, Wong, Doris Hooi Ten
Format: Article
Language:English
Published: Advanced Informatics School, Universiti Teknologi Malaysia 2017
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Online Access:http://eprints.utm.my/id/eprint/80682/1/NurazeanMaarop2017_DescriptiveFindingsRegardingFactorsInfluencingMobile.pdf
http://eprints.utm.my/id/eprint/80682/
http://publication.ais.utm.my/ojs/index.php/oiji/article/view/31/14
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Summary:Although mobile phones have been used widely by millennial generation within the age group of 20-34 there is very limited knowledge about their intention to use mobile application. This paper presents descriptive results regarding factors influencing mobile application intention behavior among millennial based on the response of university students in Malaysia. Theoretical background of this study was based on a review of relevant model of technology acceptance and the second generation of the Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as the theoretical basis for this study. Of 200 of questionnaire distributed within two months of data collection, 77 valid returned questionnaires were used for the analysis. A reliability as well as descriptive analysis were performed. Based on results, all factors have shown good Cronbach Alpha Values. Descriptively, the result has demonstrated high percentage and frequency in participants’ agreement of the measurement items of the construct except for Social Influence. For future work, an inferential statistical analysis can be performed to uncover predicting power of the factors over the acceptance of the mobile application.