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Ezlika M. Ghazali

Researcher at University of Malaya

Publications -  51
Citations -  946

Ezlika M. Ghazali is an academic researcher from University of Malaya. The author has contributed to research in topics: Loyalty & Computer science. The author has an hindex of 11, co-authored 44 publications receiving 542 citations.

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Health and cosmetics: Investigating consumers’ values for buying organic personal care products

TL;DR: In this paper, the authors extended the theory of planned behavior by including perceived value dimensions as the antecedents of attitude in the model and found that attitude was the most important predictor followed by perceived behavioural control, product knowledge, hedonic value, environmental value and safety value.
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Pro-Environmental Behaviours and Value-Belief-Norm Theory: Assessing Unobserved Heterogeneity of Two Ethnic Groups

TL;DR: This article explored six types of PEBs (i.e., activist, avoider, green consumer, green passenger, recycler and utility saver) and investigated their antecedents and interrelationships between two ethnic groups (Malays and Chinese) in Malaysia.
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Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers

TL;DR: Findings show that customer satisfaction and the two dimensions of switching barriers (perceived switching costs and perceived attractiveness of alternatives) significantly influence customer loyalty.
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Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia

TL;DR: In this paper, the authors integrated TAM and the theory of Planned Behaviour (TPB) to understand factors that influence consumers' intentions to adopt this new shopping channel, especially in developing countries such as Malaysia where it has the fastest growing mobile penetration rate in the world.
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Exploring player behavior and motivations to continue playing Pokémon GO

TL;DR: The research model provides empirical support for an integrated model for understanding the antecedents of the players’ behavioral intentions that incorporates psychological, social and gaming motivational factors in the context of an augmented reality mobile game.