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Izzal Asnira Zolkepli

Researcher at Universiti Sains Malaysia

Publications -  21
Citations -  325

Izzal Asnira Zolkepli is an academic researcher from Universiti Sains Malaysia. The author has contributed to research in topics: Social media & Consumer behaviour. The author has an hindex of 5, co-authored 14 publications receiving 204 citations.

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Journal ArticleDOI

Social media adoption

TL;DR: Overall, the findings suggest that social media adoption is significantly driven by three types of need category - personal, social, social and tension release - which are motivated by the social media innovation characteristics that increase the likelihood of the adoption.
Journal ArticleDOI

Mobile consumer behaviour on apps usage: The effects of perceived values, rating, and cost

TL;DR: In this article, the authors explored the perceived consumption values on mobile apps behavior and investigated the role of the rating of the apps and cost in influencing the behavior of the mobile consumer.
Journal ArticleDOI

New Wave in Mobile Commerce Adoption via Mobile Applications in Malaysian Market: Investigating the Relationship Between Consumer Acceptance, Trust, and Self Efficacy

TL;DR: The findings shed lights on the relevance of TAM in reasoning the adoption of mobile commerce via mobile applications and provide insightful implications for marketers to understand consumer behaviour and strengthen the mobile commerce market.
Journal ArticleDOI

Uncovering psychological gratifications affecting social media utilization: a multiblock hierarchical analysis

TL;DR: In this paper, the authors examined internet users' experience and gratifications of social media, which affect the utilization of the medium, and found that social media utilization is affected by three key component psychological factors.
Proceedings ArticleDOI

Sentiment Analysis of Online Crowd Input towards Brand Provocation in Facebook, Twitter, and Instagram

TL;DR: In this paper, a qualitative approach was used to analyze the input given by the brand community subscribers from three chosen social media platforms were analyzed using AYLIEN, Text Analysis API and Monkeylearn software to extract sentiment polarities based on Positive, Negative, Sarcastic, Ideology and Neutral sentiments.