Improving the Sustainable Usage Intention of Mobile Payments: Extended Unified Theory of Acceptance and Use of Technology Model Combined With the Information System Success Model and Initial Trust Model

Under the background of global cross-border mobile commerce (m-commerce) integration, the importance of cross-border payment research is becoming increasingly prominent and urgent. The important value of this study is to empirically research the influence power of key elements in using two different mobile payment (m-payment) platforms in Korea. The extended unified theory of acceptance and use of technology (UTAUT2) has been widely applied in various studies because of its strong interpretive power. In Korea, there are a few empirical studies on Chinese users. Based on a survey of 908 Chinese participants (486 WeChat Pay’s Chinese users and 465 Kakao Pay’s Korean users) in Korea, this study is one application extending UTAUT2 by incorporating multi-group and multi-model constructs: UTAUT2, information system success (ISS) model, and an initial trust model (ITM), considering a multi-group analysis with some mediating variables (payment difference). By comparing the two different payment platforms’ characters, this manuscript provides a set of targeted measures to ensure Chinese WeChat Payment platform decision-makers create effective long-term strategic policies for cross-border m-payments in Korea, and eventually, benefit cross-border m-commerce and economic cooperation in Southeast Asia.

Implementing Learning Analytics: The journey to improve teaching and learning at five Australian universities

Universities are under heightened pressure to become more efficient using less resources., the quality of teaching and the student experience must not be sacrificed in pursuit of efficiency. One strategy is to use automation, smart technology to augment the work of human teachers. Not to replace the teacher but to make them better at what they do. Give them smart tools to do their jobs more effectively. Learning Analytics is one such tool that has the potential to leverage teaching capability. This paper examines the learning analytics implementations at five diverse Australian universities (regional and metropolitan) with varying degrees of success reported. These implementations are evaluated using of DeLone and McLean’s (2003) information system success model. It will be seen that participants in this interpretivist case study regard learning analytics as having potential benefits but are not sure about how best to realise analytics systems with extensive usability research built-in and offering sophisticated functionality seem likely to emerge and take precedence over the trial and error approach. This study addresses an apparent gap in the research as limited studies exist targeting both learning analytics and information system success.

The Influence of Technostress Factors on Information System Success

Information systems (IS) are one of the factors that catalyze the success of an organization. Apart from assisting in the delivery process, the system can also affect the nature of its users which in turn will also affect the level of delivery of the organization. Mathematical Communication Theory has stated that in the process of conveying information, there are disturbances that will disrupt the communication process and one of them is psychological disorders. Psychological disorders related to technology, ie technostress are seen as very synonymous and can affect the user’s behavior of the systems. Indirectly, it can also affect the level of productivity and quality of delivery of an organization. Ironically, studies looking at this issue are missing, hence the motivation of this paper to propose technostress factors and investigate its relationship in information system success. Therefore, the main objective of this study is to study the effect of technostress factors and its impact on the system success. This study was conducted using a quantitative approach where questionnaires are used as a medium for data collection. The results of this study prove that the dimension of psychological influence (technostress) introduced as a new dimension has had a significant impact on the information systems success. The most important contribution of this study is the combination of two fields of study, namely the field of information system and the field of psychology in producing a model of information system success that is able to measure the success of an information system more comprehensively.

Challenges of Quantifying PRISM 2.0 and Tablet Use

As with the PRISM 1.0 trial, an important outcome of the PRISM 2.0 trial is use of the PRISM system and use of the PRISM system compared to the control condition (a standard tablet without the PRISM software). Frequent use over time is an important measure of system success. Further, use data provide key measures of system usefulness and usability. What features do participants use most and how often? Within those features, what activities do they engage in? What are the patterns of use throughout the trial, and how does PRISM system use compare to the control condition? However, quantifying use is not an easy task. This talk presents the challenges of quantifying use of a complex, multi-faceted system, and of making meaningful comparisons in use between two very different systems. Analysis approaches and solutions are discussed.

Information System Success: Influence to Consumer Behavior in the Use of Mobile Payment in M-Commerce

Both businesses and consumers have experienced significant changes as a result of the rise of m-commerce. The benefits of using a new system are perceived by users depending on their assessment of the system, information, and service quality. In one of the cities in the Cavite area, the researcher wants to assess the influence of information system success in customer behavior in mobile payments in m-commerce. This study consisted of 405 respondents and used purposive and quota sampling with a descriptive quantitative design and a survey questionnaire as the instrument. Analysis of variance, multivariate analysis of variance, and independent-sample t-test was considered as statistical techniques that will help determine consumer behavior in the use of mobile payment in m-commerce. This study's findings have numerous key implications for the usage of mobile payments in m-commerce research.