IS Success Model Research Articles

Evaluating the success of a learning management system for supplemental learning in accounting

ABSTRACT The purpose of this paper is to evaluate, from the student perspective, the critical factors that influence the success of a Learning Management System (LMS) used in a supplemental model in accounting education. Based on the Information System Success Model (ISSM) developed by Delone and McLean (2003) [The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Null, 19(4), 9–30], this research tests four hypothesised relationships around five key constructs: information content quality, instructor quality, self-regulation, perceived usefulness and satisfaction. To conduct this study, data from a sample of 313 cost accounting students in higher education were analysed, using the partial least squares method (PLS-SEM) with SmartPLS software. The findings show that student satisfaction levels with the LMS used in a supplemental model are explained by its perceived usefulness, to which the quality of the instructor and the quality of the information content are determinant factors. Contrary to expectations, high student self-regulation is found to weaken the positive relationship between perceived usefulness and satisfaction. This research expands the scarce literature on the adoption of LMS in accounting education and responds to calls to improve the effectiveness of accounting education and the efficiency of its delivery. Implications, limitations and future research lines are discussed.

Enhancing The Usage Of Microlearning System In Public Sector

This study explores the factors influencing the use of microlearning in the public sector by applying the DeLone and McLean Information Systems Success Model (DMISM). The study focuses on the role of overall quality, compatibility, and transformational leadership in shaping the actual use of microlearning systems. Using a quantitative approach, data were collected from 317 employees of Indonesian Government Financial Institutions (Lembaga Keuangan Pemerintah) through an online survey. The data were analyzed using covariance-based structural equation modeling (CB-SEM) in LISREL 8.8. The results indicate that overall quality, compatibility, and transformational leadership have significant and positive impacts on the actual use of microlearning systems. Among these factors, compatibility emerged as the strongest predictor of use. The findings suggest that improving the quality of microlearning content, aligning it with employee preferences, and developing a supportive leadership environment are key to increasing the adoption and effectiveness of microlearning in public sector organizations. Further research is recommended to explore other potential factors and expand the scope to other government sectors

Exploring the Application of ISSM and TTF Theories: A Literature Review

The Information System Success Model (ISSM) and Task-Technology Fit (TTF) theories provide valuable frameworks for assessing how effectively technology supports tasks within a system. These models are widely recognized and have been applied separately in numerous studies. However, there has been limited effort in the existing literature to integrate ISSM and TTF into a cohesive framework. This study aims to (1) review the relevant literature applying ISSM and TTF in higher education settings, (2) determine which model is more frequently utilized, and (3) evaluate studies that have integrated both models, with a particular focus on digital libraries. The results indicate that most research has centered on theory development or practical real-world applications, especially in public universities. The integration of ISSM and TTF in digital library contexts remains relatively rare despite their potential to complement one another. ISSM assesses system success through dimensions like service quality, user satisfaction, and net benefits, while TTF focuses on how well the technology fits the tasks it is intended to support, making it highly relevant for evaluating digital services. This study contributes to a deeper understanding of how ISSM and TTF are applied, offering valuable insights for future research. It highlights the untapped potential of combining these models to enhance technology adoption, user satisfaction, and overall system performance in digital libraries and other educational settings. By identifying research gaps, this paper lays the groundwork for further exploration and refinement of these theoretical frameworks to improve technology implementation in education.

Model For Improving The Performance Of Hospital Management Information System Services Through Transformational Leadership

The role of Transformational Leadership in hospital organizations is very important, where hospitals are organizations that have a complex environment, there is a lot of unclear information. With the increase in health services to the community along with changes in demographics, changes in health service technology, and the adoption of new information technology. So performance measurement is important in order to improve the quality of health services. The aim of this research is to find out how transformational leadership influences the success of hospitals management information systems (HMIS). The method used was a quantitative descriptive and verification survey with 181 respondents from 15 hospital in the city of Bandung. The sampling technique uses proportionate stratified random sampling. Data analysis using structural equation modeling (SEM) with partial least squares (PLS). The findings of the proposed hypothesis are that the quality of technology, transformational leadership, and users have a significant effect on service performance. Users can mediate technology quality, transformational leadership and service performance. Conclusion of the study is the novelty of the development of the information system success model by adding the context of transformational leadership in evaluating the success of the information system, where transformational leadership has a positive effect on improving the performance of hospital management information system services through users. Implications of the results of this study contribute to the development of an information system success model that can be used to evaluate the success of information systems in general.

Application of Delon and Mclean Model to Assess the Effectiveness of SIPPISKO: Case Study in the Ministry of Health RI

This research evaluates the effectiveness of the Risk-Based Planning and Monitoring Information System (SIPPISKO) used by all units within the Ministry of Health. Using the Delone and McLean Information Systems Success Model, the study employs PLS-SEM analysis to assess six key dimensions: system quality, information quality, service quality, use, user satisfaction, and net benefits. Data were gathered from auditors and Ministry of Health units through questionnaires. The analysis reveals that system quality significantly impacts user satisfaction but not use, while information and service quality significantly influence both use and user satisfaction. Although use does not substantially affect user satisfaction, system use significantly impacts perceived net benefits. These findings suggest that enhancing the quality of SIPPISKO's system and services could improve user satisfaction and overall system effectiveness. The results offer strategic insights for the Ministry of Health to strengthen its information systems, leading to more effective risk management and oversight. Keywords: DeLone and McLean Information Systems Success Model, Evaluation of The Effectiveness, Information System, PLS Structural Equation Modeling analysis, SIPPISKO

The Effects of Electronic Health Records on Medical Error Reduction: Extension of the DeLone and McLean Information System Success Model.

Medical errors are becoming a major problem for health care providers and those who design health policies. These errors cause patients' illnesses to worsen over time and can make recovery impossible. For the benefit of patients and the welfare of health care providers, a decrease in these errors is required to maintain safe, high-quality patient care. This study aimed to improve the ability of health care professionals to diagnose diseases and reduce medical errors. Data collection was performed at Dr George Mukhari Academic Hospital using convenience sampling. In total, 300 health care professionals were given a self-administered questionnaire, including doctors, dentists, pharmacists, physiologists, and nurses. To test the study hypotheses, multiple linear regression was used to evaluate empirical data. In the sample of 300 health care professionals, no significant correlation was found between medical error reduction (MER) and knowledge quality (KQ) (β=.043, P=.48). A nonsignificant negative relationship existed between MER and information quality (IQ) (β=-.080, P=.19). However, a significant positive relationship was observed between MER and electronic health records (EHR; β=.125, 95% CI 0.005-0.245, P=.042). Increasing patient access to medical records for health care professionals may significantly improve patient health and well-being. The effectiveness of health care organizations' operations can also be increased through better health information systems. To lower medical errors and enhance patient outcomes, policy makers should provide financing and support for EHR adoption as a top priority. Health care administrators should also concentrate on providing staff with the training they need to operate these systems efficiently. Empirical surveys in other public and private hospitals can be used to further test the validated survey instrument.

Financial Innovation and Crowdfunding: Influencing Investment Decisions in Tech Startups

This study investigates the financial behavior of Thai investors in equity crowdfunding (ECF), focusing on the factors that influence their investment intentions. Drawing upon the Information System Success Model (ISSM), the Theory of Diffusion of Innovations, and the Technology Acceptance Model 3 (TAM3), the research examines the platform quality (PQ), platform characteristics (PC), and social influence (SI) as independent variables, with the perceived usefulness (PU) and perceived ease of use (PEOU) acting as mediators. Data were gathered from 275 Thai investors and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that the PU significantly influences investment decisions both directly and indirectly through the PEOU, which also directly affects investment intention. Furthermore, SI, PC, and PQ have indirect effects on investment decisions via the PU and PEOU, with SI being the most influential factor. This study provides valuable insights into optimizing ECF platform design, fostering investor trust, and enhancing regulatory frameworks to facilitate financial inclusion and innovation in the Thai crowdfunding landscape.

Determinants of ChatGPT adoption among students in higher education: the moderating effect of trust

Purpose ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching and learning process. Drawing on the technology acceptance model (TAM) and information system (IS) success model, this study aims to investigate determinants of students’ intention to use ChatGPT for education purposes. Design/methodology/approach The partial least squares technique was used to analyse 406 usable data collected from university students in Malaysia. Findings The results confirmed the relationships between perceived usefulness (PU), perceived ease of use (PEU), attitude and intention to use proposed by TAM. PU and PEU are influenced by system quality. Surprisingly, trust in information moderates negatively the influences of PEU and PU on attitude. Practical implications The findings provide insight for higher education institutions, unit instructors and ChatGPT developers on what may promote the use of ChatGPT in higher education. Originality/value The study contributes to the literature by exploring the determinants of ChatGPT adoption, extending the TAM model by incorporating IS success factors and assessing the moderating effect of trust in information.

Exploring Instructors' Experiences with Learning Management Systems: A Technological Perspective on User Satisfaction in Distance Learning

The rapid growth of educational technology in higher education has led to the widespread use of Learning Management Systems (LMS) in distance learning. However, limited research has focused on measuring instructors' satisfaction with these systems, despite its critical role in course engagement and enhancing student interaction with course content. This study proposes a comprehensive framework for evaluating instructors' satisfaction with LMS usage. Thus; We adopted DeLone and McLean's Information System Success Model to empirically assess the relationships between Information Quality (INQ), System Quality (SYQ), Service Quality (SQ), Perceived Usefulness (PU), User Loyalty (UL), and User Satisfaction (US). The results indicate that SQ has a greater effect on the US than SYQ, PU, and INQ. Moreover, the results show that the US has a significant direct influence on UL. The study focuses on higher education instructors and employs a questionnaire-based survey for data collection. Based on the results, it is recommended that LMS design should consider the needs of both instructors and students, incorporating the latest technological advancements. Neglecting instructors' satisfaction in LMS development could negatively influence the outcomes of distance learning courses.

How Blockchain-Enabled Drivers Stimulate Consumers’ Organic Food Purchase Intention: An Integrated Framework of Information Systems Success Model Within Stimulus-Organism-Response Theory in the Context of Vietnam

Integrating the Information System Success (ISS) model with the Stimulus-Organism-Response (SOR) paradigm, this study aims to explore how blockchain-enabled stimuli (blockchain-enabled traceability and blockchain-enabled transparency) affect ISS-related organisms (perceived information quality and perceived system quality), which individually, congruently, and incongruently trigger consumers’ behavioral responses (organic food purchase intentions). Using a purposive sampling of 5326 Vietnamese consumers, multiple linear regression and polynomial regression with response surface analysis are employed to examine the hypothesized model. The research indicates that both blockchain-enabled traceability and blockchain-enabled transparency significantly and positively affect perceived information quality and perceived system quality, which both significantly mediate the impacts of blockchain-enabled traceability and blockchain-enabled transparency on organic food purchase intention. The research also finds that higher congruence between perceived information quality and perceived system quality leads to increased organic food purchase intention, while greater disparity between perceived information quality and perceived system quality results in lower organic food purchase intention. This study contributes to the extant literature by integrating the ISS model with the SOR model to provide a comprehensive framework for understanding how blockchain technology affects consumer behavior in the organic food market. It also highlights the crucial role of both information and system quality in leveraging blockchain technology to enhance consumer trust and purchase intentions.

Evaluating Post-Pandemic Undergraduate Student Satisfaction with Online Learning in Saudi Arabia: The Significance of Self-Directed Learning

Presently, numerous universities in Saudi Arabia have embraced online learning following the experience gained during the COVID-19 pandemic. While several studies have assessed the quality of online learning and student satisfaction during that period, limited research has explored students’ satisfaction post-pandemic control despite several universities planning to offer some courses online. Investigating student satisfaction post-pandemic is crucial for predicting the quality of online learning and assisting universities in enhancing the outcomes of online learning. Consequently, this study aims to examine student satisfaction with online learning by proposing a model derived from the updated Information System Success Model. The updated model factors include system quality, service quality, and information quality, supplemented by student–student interaction quality and self-directed learning. Data were collected from a sample of 150 undergraduates at King Saud University in the second semester of the 2023–2024 academic year. The research model was validated using the PLS approach. The findings indicated that only self-directed learning significantly affects students’ satisfaction with online learning. This study contributes theoretically by expanding the existing literature and enhancing the understanding of the factors that drive student satisfaction. Moreover, it provides practical contributions to decision-makers and educators developing online learning strategies focusing on enhancing self-directed learning abilities.

Analyzing User Psychology and Behavior in Short-Form Video Shopping Platforms: An Integrated TAM and ISS Model Approach

This research investigates the psychology and behavior of users engaging in short-form video shopping platforms (SVSP) from a user experience perspective. By extending the Technology Acceptance Model (TAM) and the Information System Success Model (ISS), an intention-to-use model for SVSP was developed. We conducted a survey on participants of SVSP shopping through the Questionnaire Star platform, obtaining 1,026 valid responses. Structural equation modeling (SEM-AMOS) was utilized to validate the hypotheses. Key findings include: perceived usefulness positively influences user engagement, purchase intention, and satisfaction; information quality positively impacts purchase intention; perceived ease of use negatively affects user engagement and satisfaction. Indirect effects on use intention were observed via mediation variables. Additionally, price negatively moderates the relationship between satisfaction, user engagement, and purchase intention. These findings contribute to theory and emphasizes user experience and provides actionable insights for sellers to boost engagement and satisfaction, along with managerial strategies to optimize short-form video live shopping experiences.

Exploring The Determinants of theLearning Management System (LMS) Quality of Use in TVET Institutions

Learning Management Systems (LMS) have emerged as a vital tool in the modern educational landscapeby providing a platform for seamless teaching and learning experiences. However, the factors influencing LMS quality of use remain under-explored, particularly in TVET settings. This study aims to explore the factors influencing the quality of LMS use with anemphasis on three key dimensions: information, system, and service quality. The study draws on the Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Social Cognitive Theory, Diffusion of Innovations Theory, and DeLone and McLean Information System Success Model by incorporating constructs such as compatibility, application self-efficacy, subjective norm, technological complexity, perceived usefulness, and perceived ease of use. The data was analysed using structural equation modelling (SEM) on a sample of 372 students from Malaysian Polytechnic institutions. The findings indicated compatibility, subjective norm, technological complexity significantly influence perceived usefulness and perceived ease of use. Application self-efficacy was observed to have a significant effect on perceived ease of use, but not on perceived usefulness. Perceived usefulness and perceived ease of use demonstrated a significant relationship on the LMS quality of use. This study highlights the various factors of LMS quality of use, providing useful insights for stakeholders seeking to improve the utilisation of LMS in academic settings, especially in TVET environments.

Customer adoption of Chat GPT for web development and programming assistance in the Zimbabwe tech industry

ChatGPT, an advanced conversational AI model by OpenAI, signifies a significant leap in human-computer interaction. Optimized for dialogue, ChatGPT has the potential to transform web development and programming support. In Zimbabwe, 60% of IT programmers express concerns about UI/UX design, while 70% face challenges in service quality due to software flaws and inadequate testing. This study investigates ChatGPT's application in Zimbabwe's tech industry for web development and programming support, and its impact on organizational performance. Employing an integrated Delone and McLean IS Success Model, the research examines adoption trends, barriers, and benefits of integrating ChatGPT into development workflows.A quantitative approach was utilized, employing survey data and statistical methods. A 5-point Likert Scale survey was distributed to 30 Zimbabwean ICT workers. Data analysis with SmartPLS 3.0 included descriptive and confirmatory factor analyses to assess reliability (Cronbach's alpha, composite reliability) and validity (factor loadings, AVE, HTMT ratio). Results indicate that ChatGPT significantly influences system, information, and service quality, enhancing user satisfaction and organizational benefits, with system quality exerting the strongest impact. Moreover, system quality positively affects organizational performance, though the moderating role of flexible organizational culture was insignificant. Recommendations include enhancing training data tailored to local technological needs, integrating real-time data sources, offering a paid version for updated data, ensuring robust error handling for service quality, providing educational resources, implementing feedback mechanisms, conducting developer training programs, and promoting cross-functional collaboration.

Examining the Quality of English Online Learning Using the D&M Information System Success Model

Examining the Quality of English Online Learning Using the D&M Information System Success Model

Experiences of Using a Digital Guidance and Assessment Tool (the Technology-Optimized Practice Process in Nursing Application) During Clinical Practice in a Nursing Home: Focus Group Study Among Nursing Students.

Nursing students' learning during clinical practice is largely influenced by the quality of the guidance they receive from their nurse preceptors. Students that have attended placement in nursing home settings have called for more time with nurse preceptors and an opportunity for more help from the nurses for reflection and developing critical thinking skills. To strengthen students' guidance and assessment and enhance students' learning in the practice setting, it has also been recommended to improve the collaboration between faculties and nurse preceptors. This study explores first-year nursing students' experiences of using the Technology-Optimized Practice Process in Nursing (TOPP-N) application in 4 nursing homes in Norway. TOPP-N was developed to support guidance and assessment in clinical practice in nursing education. Four focus groups were conducted with 19 nursing students from 2 university campuses in Norway. The data collection and directed content analysis were based on DeLone and McLean's information system success model. Some participants had difficulties learning to use the TOPP-N tool, particularly those who had not attended the 1-hour digital course. Furthermore, participants remarked that the content of the TOPP-N guidance module could be better adjusted to the current clinical placement, level of education, and individual achievements to be more usable. Despite this, most participants liked the TOPP-N application's concept. Using the TOPP-N mobile app for guidance and assessment was found to be very flexible. The frequency and ways of using the application varied among the participants. Most participants perceived that the use of TOPP-N facilitated awareness of learning objectives and enabled continuous reflection and feedback from nurse preceptors. However, the findings indicate that the TOPP-N application's perceived usefulness was highly dependent on the preparedness and use of the app among nurse preceptors (or absence thereof). This study offers information about critical success factors perceived by nursing students related to the use of the TOPP-N application. To develop similar learning management systems that are usable and efficient, developers should focus on personalizing the content, clarifying procedures for use, and enhancing the training and motivation of users, that is, students, nurse preceptors, and educators.

Virtual reality concerts: Determinants of success using the information system success model

As virtual reality (VR) technology advances, it has become a transformative tool for experiencing events without location, time, or capacity constraints. This development was particularly salient during the COVID-19 pandemic, accelerating the need for virtual event solutions. Despite the growing attention to VR in the event industry, research on the key drivers of successful VR events is lacking. The current study addresses this gap by developing and examining a conceptual model built on the information system success model to identify the determinants of VR concert success. Through empirical analysis, the study reveals that content, system, and service quality are pivotal to shaping attitudes toward VR applications and fostering continuance intention among VR concert attendees. These findings offer valuable insights for industry practitioners and provide a strategic framework to enhance user engagement and retention in VR events. Moreover, this research lays the groundwork for future explorations into VR efficiency in the broader context of virtual events.

Factors affecting the use and user satisfaction of the e-PIT application based on the DeLone and McLean Information System Success Model at Tegalsari Fishing Port

Factors affecting the use and user satisfaction of the e-PIT application based on the DeLone and McLean Information System Success Model at Tegalsari Fishing Port

Analysis of System Quality, Information Quality, and Service Quality on E-Filing User Satisfaction

E-filing is a tax reporting system using an Annual Tax Return (SPT) that is conducted electronically. This study aims to test and analyze the success of the e-Filing system using the Information System Success Model approach by DeLone & McLean (2003). The data used in this study is primary data collected through questionnaires, with a total sample of 70 individual taxpayers registered as employees at the Bulukumba Tax Office. The measurement variables used include system quality, information quality, service quality, and user satisfaction. The results show that information quality has a positive and significant effect on user satisfaction, and service quality also has a positive and significant effect on user satisfaction. This research can contribute to tax authorities in developing electronic systems to facilitate taxpayers in filing their tax returns. It also highlights the importance of information quality and service quality in the use of the e-filing system to ensure that taxpayers feel satisfied in fulfilling their tax obligations.

The effects of quality perception and multisensory perception on purchase intention when consumers shop online

PurposeHow to reduce uncertainty in clothing online purchasing has become a primary concern for consumers. This study aims to investigate the effects of quality perception and multisensory perception on consumer online clothing purchase intention and to explore the mediating effect of trust.Design/methodology/approachThis study was conducted with consumers who have online clothing shopping experiences. A total of 539 valid samples were analyzed by bootstrap and structural equation model.FindingsThe result of this research revealed that perceived information quality, perceived service quality, perceived haptic imagery and perceived visual-audio cues have a significant influence on purchase intention. Additionally, consumers’ trust is positively correlated with purchase intention. Trust mediates the relationship between the perceptions (perceived information quality, perceived service quality, perceived haptic imagery and perceived visual-audio cues) and purchase intention, irrespectively.Originality/valueTo investigate the effects of multisensory perception on purchase intention, perceived haptic imagery is adopted as a variable in this study. This study investigates the mediating role of trust between multisensory perception and purchase intention. The findings of this study can enrich Stimulus-Organism-Response (S-O-R) framework and Information System (IS) success model in the field of clothing online shopping.