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 Effectiveness of I-AM Human Resources Information System Application at PT Pertamina (Persero)

This study discusses the effectiveness of implementation of Human Resource Information System (HRIS) I-AM application in improving the quality of employee service at PT Pertamina (Persero). Although this I-AM application helps employees, most of them are reluctant to use it. Therefore, this research intends to evaluate the effectiveness of the I-AM HRIS implementation by using the Delone model, McLean Information System Success model, and Quality Function Deployment analysis. Fifty employees are selected by performing convenience sampling techniques . The result shows that there are four indicators in the dimension of system quality which did not fulfil the employees’ desire. Out of four indicators which failed to fulfill the employees’ desire, The speed of administration process as well as the ease of the human resource administration process are among the highest technical importance rating and relative weight which literally means high-interest rate and should be redesigned to improve employee service through I-AM HRIS.

The adoption of an e-learning system using information systems success model: a case study of Jazan University

Background The e-learning system has gained a phenomenal significance than ever before in the present COVID-19 crisis. The E-learning delivery mechanisms have evolved to enhanced levels facilitating the education delivery with greater penetration and access to mass student population worldwide. Nevertheless, there is still scope to conduct further research in order to innovate and improve higher quality delivery mechanism using the state-of-the-art information and communication technologies (ICT) available today. In the present pandemic crisis all the stakeholders in the higher education system, i.e., the governments, institutions, and the students expect seamless and efficient content delivery via e-learning platforms. This study proposes the adoption of the e-learning system by the integration of the model proposed by Delon and Mcclean “Information System Success Model” in Jazan University, Kingdom of Saudi Arabia (KSA) and further attempts to identify the factors affecting E-learning applications' success among the students. Methods The data were gathered from 568 respondents. The Statistical Package for the Social Sciences version 26 (SPSS v.26.0) was used for the data analysis and one-way ANOVA is applied to test the hypothesis. Result The overall results of this study allude to the fact that there is a significant relationship between Information system Success Model factors and the adoption of e-learning systems. The research results indicated that the information system success model has a strong associating cost-benefit value towards the adoption of e-learning systems across the Jazan University that may be further expanded to the other Saudi universities.

Age and Education as Major Determinants of HIS's Adoption

This study explored the perceptions of 264 nurses regarding their satisfaction with health information systems (HIS) in one of the public hospitals in the GCC area. The study adopted the information system success model and tried to predict satisfaction level utilizing information quality, system quality, and service quality. Results supported the role of information quality and service quality in predicting satisfaction. In addition, four factors were used as moderators of relationships assumed. Three moderation effects were witnessed: gender moderated the relationship between service quality and satisfaction, age moderated the relationship between service quality and satisfaction, and also moderated the relationship between system quality and satisfaction. A set of one-way ANOVA tests were used to compare different perceptions based on the four demographic factors (gender, age, education, and experience) on the item and construct levels. Conclusions and a summary of all results are reported in this study.

Developing a Recommendation Model for the Smart Factory System

In Industry 4.0, the concept of a Smart Factory heralds a new phase in manufacturing; the Smart Factory System (SFS) will have a huge demand in Taiwan. However, the cost of constructing a factory system will be high, and the complexity processes and introduction time must be considered. Thus, it is important to figure out how to grasp the key success factors for Smart Factories to reduce difficulties in the process, deal with the occurrence of problems, and improve the success rate of constructing Smart Factories. This research constructs an SFS recommendation model to make up for past research deficiencies in terms of recommendation. It combines the methodology of the Engel–Kollat–Blackwell Model (EKB Model) and the Modified Delphi Method to derive SFS recommendation indicators. Through analyzing weights, the ELECTRE II was used to obtain the importance of each dimension by calculating the Modified Compound Advantage Matrix. For prototype indicators, it reviewed the past literature to find out deficiencies and examined the world’s four largest manufactories or computer technology corporations to analyze their Smart Factory solutions regarding the SFS function characteristics. The survey ran for several rounds with a group of five experts to amend indicators until a consensus was obtained. It proposed 64 indicators of 8 primary dimensions in total, based on the Updated Information System Success Model, and then added the concepts of SFS Function characteristics, Information Security, Perceived Value, Perceived Risk, and UI Design. According to the indicators, the framework and prototype of this system will provide solutions and references for purchasing SFS, the functions of which include SFS purchase ability analysis, demand analysis of manufacture problems, and raking and scoring of recommendation indicators. It will provide real-time ranking and the best alternative recommendations to suppliers, and will not only be referred to for design and modification but also enable the requirements to be closer to the users’ demands.

Research on the drivers of undergraduates' intention to use university digital libraries: affinity theory as an additional construct of information system success model

PurposeThis study aims to examine the factors influencing undergraduates' intention to use university digital libraries by integrating the information system success model and affinity theory.Design/methodology/approachBased on the 265 valid responses gathered through a survey, the structural equation modelling (SEM) technique was employed to test the research model and hypotheses.FindingsThe results indicated that system quality and digital libraries (DLs)' affinity significantly affect undergraduates' user satisfaction. However, information quality and service quality does not. User satisfaction has significant impact on undergraduates' intention to use university digital libraries.Practical implicationsLibrarians and service providers should focus on enhancing the system quality of digital library and DLs' affinity, to improve the undergraduates' user satisfaction, further motivating undergraduates to use university digital libraries.Originality/valueThe information system success model is enriched by affinity as an additional construct.

The Determinants of User Satisfaction of Engineering Maintenance System (EMESYS) in the Malaysian Army

Engineering Maintenance System (EMESYS) is the online Management Information System (MIS) on equipment maintenance performed by the Royal Electrical and Mechanical Engineers (REME) Corps including maintenance on vehicle, weapon, electronic and miscellaneous equipment. This study attempts to identify the determinants of user satisfaction in adopting the EMESYS based on an information system success model by De Lone and Mc Lean (2003). This study is important as it is the first empirical study focusing on the user satisfaction of EMESYS in the context of the Malaysian Army. The data were collected using online surveys from 309 EMESYS users. Standard multiple regressions was used to analyse the data gathered. The results of this study indicate that three of the hypothesis are supported and users’ satisfaction of EMESYS is influenced by the three dimensions, namely, system quality, information quality and IT infrastructure. EMESYS has been proven successful in transforming the tedious procedures involving multiple parties and documents to the process of a simple data entry to EMESYS.

Predictors of Undergraduate Satisfaction With the Usage of University of Ilorin Web Portal

This study examined undergraduate students’ satisfaction with the University portal using Information System Success Model (ISSM). This study adopted stratified random sampling technique to select a sample size of 394 from a total population of 40,609 undergraduate students of the University of Ilorin. Questionnaire was the instrument that was used in collecting data for the study. Out of all the 394 copies of questionnaire administered, only 362 copies were returned completely filled and validated for this study. Findings show that IT professionals are responsive to students’ complaints but they do not show enough empathy to them; the students found the portal useful and they are satisfied with the overall use of the portal; and system quality, service quality and information quality predict students’ satisfaction of the portal. Study shows that information quality has the highest significant impact in determining the perceived usefulness of a Web portal while system quality has the least significant impact in determining the perceived usefulness of a Web portal.

Factors That Influence Customer Trust and Satisfaction in Mobile Banking

Over the last decade, banks have significantly invested in mobile banking. While mobile banking research focuses increasingly on adoption and behavioural intention, and post-adoption behaviours such as customer satisfaction have been given little attention. This paper draws on the information system success model to look into the antecedents of trust and satisfaction in mobile banking. It adopts the problematization and the systematic literature review approaches to problematize, organise, and integrate previously published literature related to trust in mobile banking in the post-adoption stage. The paper proposes a conceptual model with five factors that influence customer trust in mobile banking: system quality, information quality, services quality, structural insurance, and task characteristics. The relationships between the independent variables and satisfaction are mediated by trust. This paper is one of the first to discuss the Delone and Mclean model within a customer trust and satisfaction framework.