Tiong Goh

Exploring a consumption value model for Islamic mobile banking adoption

Purpose – The purpose of this study is to explore a consumption values model for Islamic mobile banking acceptance and to identify any differences in perceived consumption values between Muslims and non-Muslims towards the use of Islamic mobile banking services. Design/methodology/approach – Using an online survey method, a sample of 183 was collected and the partial least squares (PLS) method was used to evaluate the model and validate hypothesis, as it is ideal for assessing both the psychometric properties of all scales and, subsequently, to test the structural relationships proposed in the model. Findings – Empirical results via the PLS method demonstrates that the result satisfactorily explains the adoption of Islamic mobile banking and further demonstrates the use of the consumption values model as an alternate approach for technology adoption. The consumption values model approach appears to have a stronger fit for Muslims than non-Muslims with 66.6 per cent of the variance explained and a goodness...

Mobile digital portfolio extension

Mobile devices and services have many potential implementations in the area of learning and education. The main advantages of these devices, namely limitless mobility and small size, can bring new dimensions to the learning processes of the students. Problem Processing Assistant (PPA) is a Web-based learning tool that combines the characteristics of digital portfolios with the functionality of open problem solving and idea generation tools. A mobile extension of the PPA tool is implemented to enrich its functionality. With mobile device student can compose and read carry-on notes, which brings the PPA closer to the actual learning situation. Extension is implemented using the Multiple Representation Mobile Adaptation (MRMA) framework.

Big Data Management Challenges in a Meteorological Organisation

Data management practices strongly impact enterprise performance, especially for e-science organisations dealing with big data. This study identifies the key challenges and issues facing information system managers in growing demand for big data operations to deliver timely meteorological products. Data was collected from in-depth interviews with five MetService information system managers, including the CIO. Secondary data sources include internal documents and relevant literatures. The study revealed the pressing and challenging big data management issues can broadly be classified as data governance, infrastructure management, and workflow management. The study identifies a gap in adopting effective workflow management system and coordinated outsourcing plan within the organisation. Although the study is limited by its sample size and generalisation, the findings are useful for other IT managers and practitioners of data-intensive organisations to examine their data management practices on the need to balance the demand for efficient scientific operations and sustainable business growth. This study recognised that although the organisation is implementing up-to-date and practical solutions to meet these challenges, effort is needed to harmonise and align these solutions with business growth strategies to sustain future growth. This study enhanced societies’ understanding to the current practices of a real world organization.