IS Success Model Research Articles

Clarifying the Role of E-Government Trust in E-Government Success Models: A Meta-analytic Structural Equation Modeling Approach

E-government implementation success is of critical importance for nations. Prior information systems (IS) success models emphasize the effects of information quality, service quality, system quality, and user satisfaction but do not consider e-government trust. This study incorporates e-government trust into the IS success model and empirically tests the model on empirical findings reported in 67 prior studies using meta-analysis methods and structural equation modeling. Our analysis shows that: a) information quality, service quality, system quality, and user satisfaction influence e-government trust, and b) system use mediates the effect of e-government trust on intention to use e-government systems in the future.

A Framework for An Integrated E- Government System for Public Service Sectors in Developing Countries Using Design Science Research Methodology

This study aimed to develop an integrated framework to enhance government services and improve service delivery for the Namibian government. The Delone and McLean Information Systems success model and the Organizational Information Processing Theory served as the theoretical foundations for this study. The target population consisted of members of the public and a Government Ministry in Namibia. A sample size of 25 participants was selected for the study, utilizing the purposive sampling technique for government employees and the snowball sampling technique for members of the public. Thematic analysis was employed to analyze the data gathered. The study's findings revealed several significant insights. Despite the existence of multiple e-government systems, poor integration among them hindered the ability of the Namibian public service to provide effective and efficient services to citizens. Additionally, the study identified a strong demand from the public for services to be more accessible, convenient, and responsive, including a preference for online applications and faster service delivery. Moreover, the study developed an integrated e-government framework specifically tailored for the Namibian public service, aiming to enhance accessibility, convenience, responsiveness, and cost-effectiveness of services provided to citizens. The implementation of this framework is expected to promote an open and accountable government. It is crucial to emphasize that the successful achievement of e-Government goals relies on factors such as political leadership, support across all government levels, key infrastructure, skilled human resources, a suitable legal and regulatory framework, information resources, and citizen-centric services.

The Effectiveness Analysis of Distance Learning by Optimizing the Use of Information Technology

In this study, the IS Success Model is used to analyze data on the use of information technology for distance learning during a pandemic in schools in order to determine the factors that influence the application of e-learning in remote learning systems. This study employed a quantitative approach to identify the elements that influence the effectiveness of using technology in distance learning activities. Data collection and data analysis procedure is needed for this research because this research uses quantitative approach to the problem. With respect to the research approach, researchers use methods, analytical techniques, and tools appropriate to the approach quantitatively to get precise results. The research has been successful in examining how information technology is employed in distance learning activities using the Delone and McLean models. As a result, it is possible to make the following conclusions: Google Classroom is the second most widely used program for use in remote learning activities after Zoom. Users' happiness with the usage of apps is influenced by information quality, service quality, user characteristics, and system use in this study.

Examining interactions of factors affecting e-learning adoption in higher education: insights from a fuzzy set qualitative and comparative analysis

Purpose The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India. Design/methodology/approach The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA). Findings The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning. Research limitations/implications This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations. Practical implications This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts. Originality/value Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.

Factors affecting students' online courses learning behaviors.

Online course learning is an important part of higher education curriculum. However, the factors influencing college students' online course learning behavior are poorly understood. The purpose of this study is to analyze the factors affecting college students' online course learning behavior. This study integrated the Information System Success Model, the Technology Acceptance Model, and Self-efficacy Theory to construct an online course learning acceptance model. A total of 308 college students participated from China filled out the questionnaire, and 18 of them also participated in a semi-structured interview. The structural equation model was used to analyze the research data. The empirical analysis showed that self-efficacy has a positive impact on perceived usefulness and perceived ease-of-use; Perceived usefulness, attitude, system quality, and information quality affect users' behavioral intentions positively; Perceived ease of use has a positive effect on users' attitudes and perceived usefulness; and perceived usefulness has a direct effect on users' attitudes; Furthermore, behavioral intention can predict the actual use of online courses by college students. In addition, we will discuss these results and provide recommendations. This study provides a theoretical basis for the study of online course learning acceptance and extends the technology acceptance model. The research can provide inspiration for the design of online course learning and the decision-making of management institutions, and contribute to the sustainable development of education.

The Role of Platform Quality on Consumer Purchase Intention in the Context of Cross-Border E-Commerce: The Evidence from Africa.

Africa, as one of the rapidly growing markets, presents a significant opportunity for cross-border e-commerce companies to penetrate their consumer market, which is in dire need of development. This study utilizes the Information System Success model to investigate the impact of cross-border e-commerce platform quality on consumers' purchase intentions. Additionally, the study identifies the role of perceived value and trust in the purchase process. Moreover, the moderating effect of consumer acculturation on the relationship between cross-border platform quality and perceived value is examined. A total of 446 valid responses were obtained through a questionnaire survey and analyzed using structural equations. The findings reveal that platform information quality, system quality, and service quality significantly enhance consumers' perceived value, thereby positively influencing their purchase intention. Furthermore, the results highlight the joint effect of perceived value and trust on purchase intention, and trust plays a mediating role in this relationship. The moderating effect of acculturation is also confirmed, indicating that it negatively moderates the impact of system and information quality on perceived value, while positively moderating the impact of service quality on perceived value. These findings complement and extend existing cross-border e-commerce research and provide valuable insights into the buying behavior of African consumers.

Model of intention and actual use mobile learning in higher education institutions in Iraq

Mobile learning (ML) is now involved in the creation of teaching and learning methods for higher education. However, this involvement is varied among countries. The objective of this research was to examine the factors that impact students' intentions to use ML in Iraqi higher education institutions (HEIs). Building on unified theory of acceptance and use of technology (UTAUT) and information system success model (ISSM), a conceptual model was developed. The population of this study are users in Iraqi univeristies. Using a stratified random sampling, a total of 323 responses were collected to examine the proposed hypotheses. The findings showed that variables of UTAUT such as effort expectancy (EE), social influence (SI), performance expectancy (PE), facilitating conditions (FC) as well as variables of ISSM such as satisfaction along with perceived enjoyment and self efficacy affected positively the intention to use ML (ITUML) which in turn affected actual use (AU). Gender and experience moderated the effect of PE, EE, and SI on ITUML. A model of ITUML among users in Iraqi HEI was developed. Decision makers are advised to focus on certain variables to enhance the usage of ML in HEI.

A Study on Adoption of Mobile Learning Apps (MLA) : Development of an Integrated Framework in a Multinational Context

Purpose: In this study, we provided an integrated framework to assess the determinants of intention to adopt and recommend mobile learning apps (MLA) in an emerging economy context. Methodology: We integrated diffusion of innovation (DOI) & DeLone and McLean’s information systems success model (D&M ISS Model). Four independent measures, compatibility, complexity, system quality, and information quality, were taken from the mentioned theories. Intention to adopt and intention to recommend are the dependent constructs. Intention to adopt also plays the role of mediator. Three hundred seventy-two participants from Saudi Arabia and India were included in the survey. Partial least squares (PLS) structural equation modeling (SEM) was used for the analysis. Findings: The results suggested that all the antecedents influenced the intention to adopt and recommend except for compatibility. Compatibility affected adoption intention only. The intention to adopt had a substantial impact on the recommendation intention. It also successfully mediated all the proposed relationships. In addition, a multi-group analysis (MGA) was also conducted to have country-specific results. Originality: We provided a new, comprehensive, and integrated model to assist learning app companies in implementing new technology. Two significant theories were integrated to provide a holistic and futuristic framework.

정보시스템성공모델(ISSM)에 기반한 배달 앱 품질, 사용자 만족, 지속사용의도에 관한 연구

Based on previous studies, the purpose of this study was to examine the relationship between delivery app quality, user satisfaction, and continuous use intention based on information system success model (ISSM), to examine differences between groups of individual innovation, and to verify it through empirical analysis. The analysis results are as follows. First, it was found that both information quality and system quality of delivery app quality had a significant effect on user satisfaction. Second, user satisfaction was found to have a significant effect on the intention to continue use. Third, in the group with a low level of personal innovation, information quality was found to have a significant effect on user satisfaction, but system quality was found to have no significant effect on user satisfaction. On the other hand, in the group with a high level of personal innovation, both information quality and system quality were found to have a significant effect on user satisfaction. Fourth, it was found that user satisfaction had a significant effect on the intention to continue use in both groups with low and high levels of personal innovation.

PENGUKURAN TINGKAT EFEKTIFITAS SISTEM INFORMASI PERPUSTAKAAN MENGGUNAKAN TEORI DELONE & MCLEAN

The Reading Group of Gelaran Jambu Daar El-fikr or often called Gelaran Jambu was initiated and pioneered in 2008. It's located in Jambu Village, Kayen Kidul District, Kediri Regency. As an alternative education for local residents besides school, it is also a creative community that wants to develop personal potential through book- based education. Gelaran Jambu has more than 3000 books with various titles and genres. Children's books to adult books are available. Since September 2021 Gelaran Jambu has been using Senayan Library Management System (Slims), a web-based open-source application to fulfill library needs. Slims can be accessed for free and modified according to library needs. After the system has been operated for some time, it is necessary to measure its effectiveness to see the extent to which the goals have been achieved. Measuring the effectiveness of information systems using the Delone & Mclean IS Success Model theory with the Structural Equation Modeling (SEM) method. It is using a quantitative approach with descriptive statistical research techniques. The tool used to analyze the data is SmartPLS. The sample data used was 47. The results found three acceptable hypotheses and six hypotheses that were not accepted. The accepted hypotheses are System Quality to usage and User Satisfaction. And Usage to net benefits. Hypotheses that are not accepted: Information Quality to usage and User Satisfaction, Service Quality to usage and User Satisfaction, Usage to User Satisfaction, and User Satisfaction to Net benefits.

A Sustainable Quality Model for Mobile Learning in Post-Pandemic Higher Education: A Structural Equation Modeling-Based Investigation

As an effect of the digital transformation encountered by higher education institutions in the post-pandemic phase, the current study aims to inspect the factors affecting the actual use of mobile learning among higher education students. A novel hybrid model based on the information system success and technology acceptance models was proposed and tested. The study included 400 undergraduate and postgraduate students from four Saudi universities who responded to a questionnaire consisting of two parts and seven dimensions, with a total of 26 items. For the analysis, a quantitative approach was applied using structural equation modeling. The results displayed that information quality had no impact on the actual use of mobile learning among higher education students. In contrast, other quality factors (system quality, service quality, and satisfaction) and perceived factors (perceived usefulness and perceived ease of use) had a positive effect. Accordingly, this study proposed an integrated framework to assist decision makers at higher education institutions in scaffolding students to develop their educational performance by depending on mobile applications comprising high-quality factors that address their real needs. This would also enable higher education institutions to enhance their digital transformation experience, thus contributing to achieving positive learning sustainability after the pandemic.

The role of user experience and co-creation in measuring the success of digital services in higher education

ABSTRACT Despite the growth in the number of digital services in higher education, a comprehensive success model is still lacking. DeLone and McLean‘s information system success model, one of the most widespread ones, does not specifically encompass concepts that recently gained much attention: user experience (UX) and co-creation. The goal of the study was to develop and validate a broader model fit for measuring the success of digital services in higher education. Based on the feedback from over 550 end-users, the analysis confirms the importance of UX and co-creation as success factors of digital services in higher education. In that, higher-order construct analysis provided a means to examine the digital service quality construct comprehensively and bring forth the much-needed multi-dimensional perspective on the topic. More specifically, the influence of co-creation on the higher level of perceived benefits of digital services adds to the body of knowledge that promotes the evolution of service-dominant logic.

A Study on the Improvement Direction of Artificial Intelligence Speakers Applying DeLone and McLean’s Information System Success Model

Recently, many artificial intelligence speakers have been released on the market worldwide. However, the AI speaker thinks autonomously, which is a characteristic of AI. There seems to be no element to talk about. Even answering the question of this study and saying, “It’s not like an artificial intelligence speaker, it’s like a slightly advanced Internet-connected radio.” To determine the difference between these released technologies and users’ expectations in detail, we tried to analyze whether the quality and value of artificial intelligence speakers affect the positive (+) effect on use and user satisfaction. Finally, we tried to determine if it comes with user benefits. As a result of analyzing DeLone and McLean’s IS SUCCESS model, it was found that the information quality provided by the artificial intelligence speaker is used, but it is difficult to deliver satisfaction, but the service and system quality deliver user satisfaction. Moreover, it was found that perceived pleasure had no positive effect on the use or user satisfaction. It is necessary to upgrade to a level that can provide information providing quality and enjoyment that users can perceive. This means that it is a system with built-in voice recognition to answer questions connected to the Internet.

THE ROLE OF M-PAYMENT QUALITY CHARACTERISTIC ON PERFORMANCE EXPECTATION AND SATISFACTION IN SURABAYA (STUDI OF MOBILE BANKING)

This study aims to determine the effect of M-payment quality characteristic on performance expectations and satisfaction of mobile banking users in Surabaya. This study uses quantitative methods and data from questionnaires distributed to 180 mobile banking users in Surabaya. The data was processed using SEM-PLS. The theoretical basis of this study is the information system success model (IS) with six dimensions: information quality, system quality, service quality performance expectation, usage intention, and user satisfaction. This study found that information quality, system quality, and service quality in mobile banking significantly affected performance expectations and user satisfaction of mobile banking users in Surabaya.

Managing students’ attitude, learning engagement, and stickiness towards e-learning post-COVID-19 in Australian universities: a perceived qualities perspective

ABSTRACT Studies have been conducted on university students’ acceptance of e-learning systems during COVID-19. However, less attention has been paid to students’ use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students’ various quality perceptions on attitude, learning engagement, and stickiness toward e-learning platforms. A survey-based quantitative method is adopted by this study in which sample data are collected from students in Australian universities. A total of 403 valid samples were analysed using covariance-based structural equation modelling. This study found that students’ perceived educational quality, service quality, information quality, and technical system quality play different roles in their attitudes and behaviours towards e-learning. It expands the information system success model by comparing the effects of students’ various perceived qualities on their ongoing commitment to e-learning. It provides insights to e-learning providers in pursuing better designs and more sustainable development of educational information systems.

Examining the Critical Success Factors of E-Learning Using Structural Equation Model: A Case Study on the Mandatory Use

Several researchers have studied e-learning success factors. However, there is rare research linking the success factors from the student perceptions to their data stored in the e-learning system, i.e., the student usage behavior and learning achievement. In addition, there is little research in the literature on mandatory use contexts. Thus, this study aimed to systematically examine and investigate the critical success factors (CSFs) of e-learning used for e-learning evaluation, using an e-learning system in mandatory use as a case study. The study is based on the D&M IS success model, the user satisfaction model, and success factors of e-learning systems. A structural equation model was used to analyze the data collected from 221 undergraduate students who used the system. The results indicated that e-learning success factors were information quality, system quality, instructor characteristics, diversity of assessment, system use, user satisfaction, benefits, and learning performance. In addition, system use has a highly positive and significant effect on learning performance, whereas the perceived benefits are determined by system use, instructor characteristics, information quality, and user satisfaction. Besides, instructor characteristics, system quality, and diversity of assessment had positive impact on user satisfaction. The findings provide insights to practitioners, academics, and policymakers to help them focus on factors that can be used to improve and evaluate the e-learning system. Our study contributes to the body of knowledge on e-learning system success and evaluation in mandatory use contexts.

The Role of Electronic Applications in Transitioning and Developing the Performance of Digital Government Services: Tawakkalna Application for Covid-19 in Saudi Arabia

The Covid-19 pandemic has witnessed the emergence of a new and vital dimension in digital government service – a way of dealing with the outbreak and keeping citizens a s safe as possible. However, it is important to know what citizens themselves think about the applications they have to use. This paper explores Saudi citizens’ attitudes and experiences with the Saudi government’s smart app Tawakkalna, which provides these services, as expressed on the Twitter hashtag # Tawakkalna. A random sample of 766 tweets were analysed during the period 31. 3. 20 to 26.3.21using a theoretical framework comprising the social constructionist approach, the third electronic wave theory and the Information Systems Success model. The analysis showed that Saudis were largely positive about the services provided and that any negative comments were to do with technical difficulties encountered. The government and other private institutions had a major role in persuading citizens to adopt the app, although influential individuals also had an impact. The study confirmed Twitter as an ideal platform for measuring Saudi public opinion.

An investigation of the factors affecting citizens’ adoption of e-government in Indonesia

The citizen acceptance of e-government is widely researched in industrialized nations; however, only a few studies have looked at the adoption of e-government in developing nations, including Indonesia. This study aims to identify the elements influencing Indonesian citizens’ acceptance of electronic governance. The following models are suggested to achieve this purpose: the information system success model (ISSM) and the technology adoption model (TAM). The sample includes 735 respondents in Indonesia; the self-selection convenience sampling technique was used in this study. The findings indicated that perceived usefulness is positively impacted by system quality (β = 0.113; p < 0.05), information quality (β = 0.502; p < 0.05), and service quality (β = 0.285; p < 0.05). Furthermore, considering the TAM model, perceived usefulness (β = 0.762; p < 0.05) has a favorable impact on intentions to use e-government, and intention to use (β = 0.502; p < 0.05) favorably influences user behavior. The findings of this study advance theoretical knowledge by developing and validating an integrated model for the effect of e-government adoption, information quality, system quality, and service quality on perceived usefulness. Risks may be lessened by enhancing the systems and capabilities that enable citizens to use e-government. Additionally, this paper offers various recommendations for improving and promoting e-government in Indonesia.

A scale to measure the perceived quality of mHealth by elderly patients with hypertension in China

BackgroundThe elderly population in China is growing, with hypertension being the most prevalent chronic disease in older adults. Despite the rapid penetration and efficient management effect of mobile health on hypertension healthcare, elderly patients are often less adopted and continue to use mobile health services. Quality perception significantly affects an individual’s satisfaction and continued intention to use mobile health services. The evaluation of the significant factors affecting mobile health quality perception by elderly individuals remains largely unexplored. The aim of this study was to develop and validate an evaluation scale to measure the perceived quality of mobile health applications for hypertension and determine the underlying influencing factors.MethodsA cross-sectional survey was conducted between November 2018 and October 2019. A quality evaluation scale with three factors and seven indicators was developed based on the Information Systems Success model. Data was analyzed using structural equations modelling (SEM) and one-way analysis of variance (ANOVA). All tests were two-sided and statistically significant at P < 0.05.ResultsThe proposed mobile health application quality evaluation scale from the perspective of the elderly was shown to be a hierarchical, multidimensional construct with valid reliability, convergent validity and discriminant validity, which consists of three factors and seven indicators. The SEM results suggested that information quality and service quality had a significant impact on the satisfaction of elderly individual’s with mobile health applications for hypertension management. The results also suggest that the elderly individuals had a low evaluation of mobile medical service quality(4.06 ± 0.70), while the score of information quality was the highest, with an average score of 4.36(SD 0.83) out of 5. Male patients were shown to more readily accept mobile health applications, with their perception of system quality being 0.27 higher than female ones (95% CI 0.00 ~ 0.52; P < .05). Patients with 1–5 years hypertension histories assessed the system (95% CI 0.03 ~ 0.63; P < .05), information (95% CI 0.11 ~ 0.65; P < .05), and service quality (95% CI 0.00 ~ 0.47; P < .05) higher than those with hypertension histories > 10 years. Elderly patients who regularly visited primary hospitals assessed the information quality 0.13 higher (95% CI -0.08 ~ 0.34; P < .05) than those visited tertiary hospitals.ConclusionsThese findings have significant implications for theoretical and practical research on mobile health application quality evaluation, which will be helpful for policymakers and mobile health providers in improving the context and utilisation of mobile health to include elderly users. More mobile health applications attributes, such as timely information and interactive services that meet the characteristics of elderly patients with different mental and health demands need to be considered. Deeply embedding mobile health into primary health services is recommended to help increase the perceived quality of mobile health, and ensure the continuous use.

The Impact of Quality Factors on Continuous Usage of E-Taxation Filing Reporting System

The electronic taxation (E-Taxation or E-Tax) filing reporting system has undergone several improvements. However, there are still debates regarding the quality of information (IQ), system quality (SYQ), and service quality (SEQ) in the system. These concerns continue to be hotly debated. These concerns include the accuracy of information provided, the availability of the system and its services, and the comprehensiveness and responsiveness of the system, which can result in taxpayers being forced to wait in queues. This study explores the relationship between IQ, SYQ, SEQ, and individual taxpayers' continuous intentional usage of the e-tax system. To achieve this, a theoretical model was developed based on the DeLone and McLean IS Success Model (D&amp;M) concepts, which focused on the targeted issues. The proposed relationship concept was analysed using SmartPLS (v. 3.2.8) on a 768 Nigerian individual taxpayers survey. The study revealed that IQ, SYQ, and SEQ are significant factors that impact taxpayers' intention to use (ITU) and the system's continuous usage (U) in Nigeria. The findings of this study suggest that tax authorities should focus more on technical quality factors to enhance the performance of the e-tax reporting system. Additionally, this study contributes to the existing literature by evaluating the concept of information system quality (ISQ) within the context of e-taxation.