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The purpose of this paper is to investigate a distinct set of characteristics that influence Muslim customers’ intentions to purchase Ar-Rahnu Islamic financing contract in Malaysia.

The study studied the impact of perceived value, perceived quality, perceived financial advantages, religious commitment and product knowledge on the purchase intention Ar-Rahnu Islamic financing contract using a quantitative research approach. A Google Form-based online survey was created and distributed through Twitter, Facebook and Instagram, among others. The survey data were analysed using structural equation modelling with a partial-least-square estimation property (PLS-SEM).

The study results suggested that Muslim customers in Malaysia had a greater propensity to buy Ar-Rahnu Islamic financing contract. Analysis of the data revealed that perceived value, perceived quality, perceived financial benefits and religious commitment had direct effects on the desire to buy Ar-Rahnu Islamic financing contract in Malaysia. In addition, the results reveal that religious commitment, perceived quality and perceived financial benefit are the top three important factors in explaining Ar-Rahnu Islamic financing contract buying intentions in this country.

Muslim customers may use Ar-Rahnu Islamic financing contract as a short-term credit alternative to enhance their financial standing. Ar-Rahnu Islamic financing contract generates a substantial quantity of credit demand and supply, which not only allows Muslim customers to adhere to Islamic standards but also contributes to the expansion of the economy. The result would aid and advise Ar-Rahnu finance resources and legislators in measuring the efficacy of the program in Malaysia, especially among Muslim customers.

Ar-Rahnu Islamic financing contract as a financing alternative has been explored extensively, but this study takes a whole new approach to the subject by looking at dimensions of perceived value, perceived quality and perceived financial benefit along with individual product knowledge and religious commitment. Consequently, this study will contribute to the understanding of how Muslim customers will respond to the Ar-Rahnu Islamic financing contract and will assist financial institutions in increasing the possibility that Muslim consumers would acquire Ar-Rahnu Islamic financing contract.

The purpose of this study is to explore the relationship of gamification design elements on social play habit and we-intention to continue playing in a mobile multiplayer game context. The study further intends to reveal the mediating role of social play habit in the relationship between gamification design elements and we-intention to continue playing.

The proposed model was empirically evaluated using survey data collected from 292 PUBG users based in Malaysia. PLS-SEM analysis was used to assess the model since it includes formative and reflective constructs.

The results indicated that gamification design elements significantly affect social play habit in a positive direction. In the simultaneous condition, social play habit also significantly affects the we-intention to continue playing the mobile multiplayer game. However, these three elements of gamification design did not significantly affect the formation of we-intention to continue playing in the context of mobile multiplayer games. Notably, social play habit was found to fully mediate the relationships between immersive-related interaction, achievement-related interaction, social-related interaction and we-intention to continue playing.

This study highlights the importance of social play habits as a factor linking the relationship between gamification design elements and we-intention to continue playing. In addition, this study also provides significant insights for the game creators to emphasise the gamification design elements so that the sustainability of the game can be secured from the perspective of retaining the current users through the social play habit element.

The study is noteworthy because it is the first attempt to use gamification design elements to explain how social play habit affect the formation of we-intention to continue playing in the setting of a mobile multiplayer game environment. In addition, the findings may add to the body of knowledge in the field of gamification theory.

Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions students.

The research framework was empirically evaluated using a cross-sectional research design and the data was collected from 715 undergraduate students from public higher education institutions in Malaysia using an online survey method. A structural equation modeling using partial least square method was used to examine the hypothesized model.

The results of partial least squares structural equation modeling indicated that the main predictive variables of TAM along with the extended variables were significantly influence the perceived online learning enjoyment. Meanwhile, the analysis also identified that perceived online learning enjoyment can significantly generate positive BIN for using online learning platforms as well as it also plays as a significant mediator role.

This study has significant implications for higher education institutions that wish to develop online learning environment for their students by providing answers to higher education institutions on how to successfully use the learning management system to assist students' learning performance from the aspect of online learning enjoyment sentiment.

This study is remarkable because it is the first attempt to explore the effect of these five predictors on students' learning enjoyment toward online learning platforms and subsequently on BIN to use this learning platforms, especially in the context of Malaysian higher education system. It is also unique in the way to extend the use of TAM predictive variables with others variables to produce more informative results about the study. Hence, this study also has a new contribution in the literature in the domain of digital learning.