Exploring the Factors that Have Impact On Consumers’ Trust in Mobile Payment Systems in Australia

Trust plays a vital role in the adoption of a new payment system in so far as people need to trust that the prevailing currency, or in other words, money, is recognized by all stakeholders. With the evolution of the payment methods, shifting from paper-based to electronic-based, building consumer trust has become a vital element for the success of businesses involved in the mobile payment systems sector. In this context, the aim of this study was to delve deeper into the factors that have impact on consumers trust in mobile payment systems (MPS) in Australia. A quantitative approach through a questionnaire survey was conducted to measure the data collected. The data of 200 participants were gathered using SurveyMonkey and the Excel spreadsheets was imported into SPSS (Statistical Package for the Social Sciences) system, where the data were organised. Besides, this study adopted the Partial Least Square Structural Equation Modeling (PLS-SEM), where the data analysis took place. The findings of PLSSEM analysis pointed out that behavioural factors and organisational factors have significant impact on consumers’ trust, and this, as a consequence, have influence on MPS adoption. On the other hand, this research found that the technological factors, governmental factors and personal factors have no significant impact on Australian consumers’ trust and this, as a result, has no influence on MPS adoption.

The Politics of Data Portals in Inter- And Transdisciplinary Research

In this paper, we argue that the ongoing processes of datafication and dataism are constraining initiatives to construct open data portals contributing to inter- and transdisciplinary research. The former overvalues quantitative data, whereas the latter reinforces the belief that ‘raw data’ is neutral and apolitical, ignoring how data is processed. Based on the case study of an open data portal being developed at an inter- and transdisciplinary research institute, we argue that datafication and dataism are highly problematic trends, because they marginalize qualitative data employed in critical, constructivist, and other interpretive methods, thereby limiting the possibility of complementing and extending each other. Nonetheless, we also maintain that these trends are not technologically determined but are modifiable, based on the design of data portals. Accordingly, we conclude by offering suggestions for constructing data portals, such as opening up the design process and democratizing standards.