The Role of Perceived System Quality as Educators’ Motivation to Continue E-learning System Use

This study incorporates perceived system quality into the original expectation-confirmation based information system continuance model in order to investigate the role of perceived system quality in users’ motivation to continue e-learning system use. Our proposed model was tested among university educators (n = 175) who use the popular open-source e-learning system, Moodle. The results reveal that perceived usefulness, confirmation of initial expectations, and perceived system quality significantly affected educators’ satisfaction. In addition, perceived usefulness and satisfaction significantly affected continuance intention. Unexpectedly, no direct association between perceived system quality and continuance intention was found. The determinants of continuance intention explain around 64% of its total variance. The paper finishes with conclusions and implications for future research and practice

Extending information system continuance theory with system quality in e-learning context

Ten years ago, Bhattacherjee proposed the information system continuance model, which received considerable attention inthe literature. This study proposes an extended information system continuance model by incorporating system quality to theoriginal model in the context of educators’ utilization of e-learning technology for conducting courses. Our proposed modelis tested using a sample of 175 university educators using structured equation modeling. The results show that there is nosignificant direct association between system quality and continuance intention. However, system quality affects continuanceintention indirectly via perceived usefulness and satisfaction. All the relationships of the original information systemcontinuance model were supported. The determinants of continuance intention explained around 70% of its total variance

Understanding Continued Usage Intention in e-Learning Context

With the latest development of the Internet technologies, it has offered many e-learning systems available for the educators to conduct courses online. The advantage of using such systems in connection with on-site courses is that it increases flexibility through resources that facilitate learning anytime anywhere. However, there is little empirical evidence to suggest what factors underpin educators continued usage of such systems. This study builds a model based on the Unified Theory of Acceptance and Use of Technology to identify the factors. The model is tested among the university educators (n = 175) who use a popular e-learning system, Moodle. The results suggest that continuance intention is driven by perceived usefulness and access. Perceived ease of use, perceived behavioral control, compatibility, and social influence do not have significant impact on continuance intention. These core determinants of continuance intention altogether explained around 70% of the total variance of intention

Information Systems Post-Adoption Satisfaction And Dissatisfaction: A Study In The E-Learning Context

An information system can be regarded as successful when a significant number of users use the system in a continued basis. Satisfaction is often regarded as the basis of continued usage, while dissatisfaction may cause users to discontinue the system use. While many studies in information system have investigated user satisfaction, user dissatisfaction seems to be ignored. The purpose of this study is to investigate the factors that generate user satisfaction and the factors that generate user dissatisfaction. Drawing the theoretical assumptions from Oliver’s expectation-confirmation theory and Herzberg’s two-factor theory, we propose a generic theoretical framework that posits environmental factors and job-specific outcome factors may cause satisfaction and dissatisfaction. The framework extends our understanding of user satisfaction and dissatisfaction and helps to underpin and categorize the factors that are salient for causing user satisfaction and dissatisfaction. By collecting text data responses using open ended survey questions and qualitatively analyzing them, we identify a list of factors that generate educators’ satisfaction and a list of factors that generate dissatisfaction in the e-learning tool utilization context. Our study reveals that satisfaction is generated by both environmental and job-specific factors, while dissatisfaction is generated by environmental factors only

VOYEURISM AND EXHIBITIONISM AS GRATIFICATIONS FROM PROSUMING SOCIAL NETWORKING SITES

In social networking sites (SNSs), the user has a dual role as one produces content for both oneself and for the other users, and consumes the content produced by other users. Thus, we argu the SNS users can be characterized as prosumers. Drawing on the Uses & Gratifications approach, we further argu that voyeurism and exhibitionism are important gratifications from prosuming SNSs. We thus examine voyeurism as an outcome of content consumption and exhibitionism as an outcome of content production in SNS setting. To this end, we use Partial Least Squares (PLS) to analyse a sample of 289 Facebook users. The results show that content consumption significantly predicts voyeurism and content production exhibitionism. The study contributes to the literature on SNS use by disaggregating SNS use into content consumption and content production, and placing voyeurism and exhibitionism as the outcomes of the two. As its second main contribution, the study applies and further develops the concept of prosumption towards SNS use

User Attitude Towards Screen Readers: A Finnish Perspective

Prior research on understanding blind people’s attitude toward screen readers has been scant. This paper collected data from six Finnish blind users on their use of screen readers and analyzed the data using an interpretive phenomenological approach in order to find the factors that constitute attitude. The data analysis revealed three major themes: environmental, personal, and technological. Environmental themes include the following subthemes: Use Context, Government and Community Support, and Support from Friends and Family. Personal themes include subthemes of Willingness to Try New Technology, Willingness to Improve Skills, and Attachment to the Screen Readers. Finally, technological themes include Possible Improvements in Screen Readers (e.g., ease of use, slow progress of screen reader technology), Incompatibilities among Technologies, and Difficult to Learn but Training Can Support

TO EXPLAIN OR NOT TO EXPLAIN: AN EMPIRICAL INVESTIGATION OF AI-BASED RECOMMENDATIONS ON SOCIAL MEDIA PLATFORMS

AI-based social media recommendations have a great potential to improve user experience. However, often these recommendations do not match the user interest and create an unpleasant experience for the users. Moreover, the recommendation system being blackbox creates comprehensibility and transparency issues. This paper investigates social media recommendations from an end-user perspective. For the investigation, we used the popular social media platform Facebook and recruited regular users to conduct a qualitative analysis. We asked participants about the social media content suggestions, their comprehensibility, and explainability. Our analysis shows users mostly require explanation whenever they encounter unfamiliar content and to ensure their online data security. Furthermore, the users require concise, non-technical explanations along with the facility of controlled information flow. In addition, we observed that explanations impact the user’s perception of transparency, trust, and understandability. Finally, we have outlined some design implications and presented a synthesized framework based on our data analysis

Culture And Student Samples As Moderators Of Continued IT Usage: A Meta-Analysis Of IS Continuance Literature

The benefits from ICT investments materialize through sustained usage rather than initial acceptance. Hence, the amount of research on continued IT usage (IS continuance) employing the Expectation-Confirmation Model (ECM) has been increasing steadily in recent years. In this body of literature, empirical results regarding the correlations between the key constructs of ECM have not been entirely consistent. Thus, we conduct a meta-analysis of prior IS continuance literature to examine whether the flux in the results can be explained by the presence of moderating effects. First, we investigate whether the cultural context of the empirical study or the use of student samples has influenced the results. Second, we examine whether including perceived ease of use in the ECM has received consistent empirical support. The results demonstrate that both cultural context and student samples potentially act as moderators, and thus have caused the flux in the empirical results. Furthermore, the results show that perceived ease of use is a viable extension to ECM

Towards a Decomposed Expectation Confirmation Model of IT Continuance: The Role of Usability

We propose a decomposed expectation confirmation model of IT continuance by 1) decomposing user expectation and confirmation into two dimensions of usefulness and usability, 2) conceptualizing the role of usability in IT continuance research, and 3) exploring changes in user perceptions of usability and usefulness over time and their impacts on user satisfaction and continuance intention. We tested the proposed research model using longitudinal data that we collected in two points in time six months apart from 125 users of the LinkedIn professional social networking site (pSNS). The results show that 1) perceived usability, usability confirmation, perceived usefulness, and usefulness confirmation determined user satisfaction with pSNS and 2) perceived usability along with satisfaction predicted continuance intention, whereas perceived usefulness had no effect. This study contributes IT continuance research by 1) proposing and empirically validating a decomposed model of IT continuance and 2) by bringing in usability as a core construct of interest for IT continuance research

NOTION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE - AN EMPIRICAL INVESTIGATION FROM A USER\u27S PERSPECTIVE

The growing attention on artificial intelligence-based decision-making has led to research interest in the explainability and interpretability of machine learning models, algorithmic transparency, and comprehensibility. This renewed attention on XAI advocates the need to investigate end user-centric explainable AI, due to the universal adoption of AI-based systems at the root level. Therefore, this paper investigates user-centric explainable AI from a recommendation systems context. We conducted focus group interviews to collect qualitative data on the recommendation system. We asked participants about the end users\u27 comprehension of a recommended item, its probable explanation and their opinion of making a recommendation explainable. Our finding reveals end users want a non-technical and tailor-made explanation with on-demand supplementary information. Moreover, we also observed users would like to have an explanation about personal data usage, detailed user feedback, authentic and reliable explanations. Finally, we proposed a synthesized framework that will include end users in the XAI development process