Smartphone credit card (SCC) is an emerging payment method using NFC-enabled smartphones. The proximity payment allows...

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Smartphone credit card (SCC) is an emerging payment method using NFC-enabled smartphones. The proximity payment allows consumers to pay their products and services by waving their smartphones with a NFC reader. While there are advantageous adopting SCC, the adoption rate has not been encouraging. Interestingly, existing research work on past information technology and system models have so far focused primarily on organizational context and adopted specifically for work. Furthermore, past antecedents were mainly constructed using electronic commerce literatures which do not reflect the actual mobile environment. In contrast SCC is mainly adopted voluntarily by mobile users and for personal purposes. Thus this leads to the difficulty in drawing meaningful conclusion. The study addresses these limitations by proposing a new mobile technology acceptance model (MTAM) which consists of mobile usefulness (MU) and mobile ease of use (MEU) to determine SCC adoption. In anticipating on the complexity which exists in the mobile environment, additional mobile constructs namely mobile, perceived security risk (MPSR), mobile perceived trust (MPT), mobile perceived compatibility (MPC) and mobile perceived financial resources (MPFR) were incorporated into the parsimonious MTAM. The integrated model was applied to 459 mobile users through a questionnaire approach and tested using partial least square-structural equation modelling-artificial neural network (PLS-SEM-ANN) has provided a new impact and a possible new research methodology paradigm as it is able to capture both linear and non-linear relationships. While the model confirms the role of MU in MTAM. MEU needs for more attention in practice. The results from the extended model showed that only three of the proposed hypotheses were non-significant in this study and thus warrant further investigation. The study contributes to academia by proposing new mobile constructs that brings together MTAM to assess the likelihood of mobile users to adopt SCC. The study also offers several important managerial implications which can be generalized to the mobile studies of other transportation, hotel, banking, and tourism industries. Source: Ooi et al. (2016) (c) Identify the independent and dependent variables in this study. 9 (f) (g) (h) (1) Appraise the major contributions of this study. (4 marks) (4 marks) This study was participated by 459 respondents at five major shopping malls at Klang Valley, Malaysia. The five major shopping malls were chosen due to the high number of potential mobile users available to expedite the data collection. Examine the sampling technique that was used in this study and its limitations. (6 marks) The results of this study show that there are several significant and insignificant relationships. Discuss the implications of p-values in the context of generalization of findings. (4 marks) Suggest improvement strategies for this study in terms of its methodology. (4 marks) Smartphone credit card (SCC) is an emerging payment method using NFC-enabled smartphones. The proximity payment allows consumers to pay their products and services by waving their smartphones with a NFC reader. While there are advantageous adopting SCC, the adoption rate has not been encouraging. Interestingly, existing research work on past information technology and system models have so far focused primarily on organizational context and adopted specifically for work. Furthermore, past antecedents were mainly constructed using electronic commerce literatures which do not reflect the actual mobile environment. In contrast SCC is mainly adopted voluntarily by mobile users and for personal purposes. Thus this leads to the difficulty in drawing meaningful conclusion. The study addresses these limitations by proposing a new mobile technology acceptance model (MTAM) which consists of mobile usefulness (MU) and mobile ease of use (MEU) to determine SCC adoption. In anticipating on the complexity which exists in the mobile environment, additional mobile constructs namely mobile, perceived security risk (MPSR), mobile perceived trust (MPT), mobile perceived compatibility (MPC) and mobile perceived financial resources (MPFR) were incorporated into the parsimonious MTAM. The integrated model was applied to 459 mobile users through a questionnaire approach and tested using partial least square-structural equation modelling-artificial neural network (PLS-SEM-ANN) has provided a new impact and a possible new research methodology paradigm as it is able to capture both linear and non-linear relationships. While the model confirms the role of MU in MTAM. MEU needs for more attention in practice. The results from the extended model showed that only three of the proposed hypotheses were non-significant in this study and thus warrant further investigation. The study contributes to academia by proposing new mobile constructs that brings together MTAM to assess the likelihood of mobile users to adopt SCC. The study also offers several important managerial implications which can be generalized to the mobile studies of other transportation, hotel, banking, and tourism industries. Source: Ooi et al. (2016) (c) Identify the independent and dependent variables in this study. 9 (f) (g) (h) (1) Appraise the major contributions of this study. (4 marks) (4 marks) This study was participated by 459 respondents at five major shopping malls at Klang Valley, Malaysia. The five major shopping malls were chosen due to the high number of potential mobile users available to expedite the data collection. Examine the sampling technique that was used in this study and its limitations. (6 marks) The results of this study show that there are several significant and insignificant relationships. Discuss the implications of p-values in the context of generalization of findings. (4 marks) Suggest improvement strategies for this study in terms of its methodology. (4 marks)

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e Identify the independent and dependent variables in this study Independent Variables Mobile Usefulness MU Mobile Ease of Use MEU Mobile Perceived Security Risk MPSR Mobile Perceived Trust MPT Mobile ... View the full answer