Information System Success Research Articles

An empirical study of students' perceptive on e-learning systems success

PurposeThe effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).Design/methodology/approachA quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).FindingsThis study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.Practical implicationsThe study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.Originality/valueThis study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.

Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data

This paper aims to explore Kuwaiti users' perspectives and experiences with Shlonik, the mandatory contact tracing application that was used during the COVID-19 pandemic. A sample of 2,450 tweets about users' experiences was collected and thematically analyzed. The analysis used DeLone and McLean's information system success model to explore aspects of the degree to which this app can be judged a “success,” using parameters of system quality and service quality. A novel finding identified by this qualitative study was the significance of themes identified in the analysis such as social privacy (timing, privacy, and female privacy, which are related to the cultural and religious norms of Kuwait) and technical privacy (related to data protection). The research identified significant conflict with cultural and social norms in users' experience of the Shlonik app – factors not normally identified or discussed in existing literature. This research supports a need for improved strategies and designs in future m-government applications in developing countries.

Examining Blended Learning Adoption Towards Improving Learning Performance in Institutions of Higher Education

Institutions of higher education are implementing Blended Learning (BL) approaches to supplement traditional courses in enhancing students’ learning experiences. However, only fewer studies have examined BL acceptance based on the determinants that influence students’ perception towards BL integration in improving learning performance. Accordingly, this study employs the theory of Technology Acceptance Model (TAM) and Information System (IS) success model to develop a model to examine the determinants that influence students’ perception towards BL integration and acceptance as a mode of study to improve learning performance. Survey questionnaire was designed, and data was gathered from 1169 students to empirically validate the designed model. Accordingly, Partial Least Square-Structural Equation Modeling (PLS-SEM) was applied to analyze the survey data. The results suggest that system quality, information quality, and service quality significantly impact students’ acceptance of BL. Moreover, results reveal that perceived usefulness of BL, perceived ease of use of BL, attitude towards using BL, intention to use BL, and actual use of BL were proven to be key determinants that should be considered in improving students’ acceptance of BL. Additionally, results indicate that students’ acceptance of BL significantly influences learning performance. Implications from this study provide insights on how institutions can improve students’ integration of BL initiatives in both physical and digital learning environments.

Evaluation of Learning Management Systems for Success Factors

Evaluating an information system for success is key. Evaluating success factors of a Learning Management System (LMS) is essential in perspective of information systems success in a developing country context. eLearning is vital to educational system considering its benefits and impacts, particularly in accessing learning from remote areas, suitable for different learners’ categories, minimal resource utilization in terms of cost and time. Through the literature reviewed on eLearning and Information System, the desire to determine the variables that measure the success factors for information systems continues. Existing Information System (IS) success models do not sufficiently evaluate eLearning in developing country, Uganda inclusive as the current IS success models are generic in nature. This study aimed to describe a model of information system success tailored to eLearning system, Kampala International University as a case study, a Uganda’s context. To address the above objective, a field study was conducted, using questionnaire to determine factors for information systems success in Uganda, a sample size of 370 respondents were used from population size of 5500 using Sloven formula. The respondents comprise of 340 students, 27 lecturers and 4 administrators. The identified success factors are skills & training, infrastructure and management support. Data were cleaned and analyzed using Statistical Package for Social Scientists version 20.0 (SPSS). This study adopted Delone and Mclean’s Information System Success model (2016) and extended it using factors obtained from the field study survey. Analysis was performed to evaluate the model. Results of the study showed that all the independent variables management support, infrastructure, skills and training are positively related to the dependent variable of intention to and use of information system. There exists a strong relationship between the multiple independent variables and the dependent variable. All factors identified, has positive impact in explaining the variation in intention to use and use of the system with r coefficient of 0.343, 0.406 and 0.406 respectively. The results of the study presented a model of success factors for Learning Management System, eLearning specifically. For future research, this study recommends conducting qualitative studies to delve deeper into the nuanced perceptions and experiences of learners and teachers as well as looking into policies that can promote eLearning especially in developing countries.

Impact of Information Quality on Satisfaction with E-Learning Platforms: Moderating Role of Instructor and Learner Quality

Based on the information system success and situational strength theories, this study explores the moderating effect of learner quality and instructor quality on the relationship between information quality and student satisfaction with e-learning. Survey data were collected from 333 college students, and the proposed relationships were assessed using the SMARTPLS structural equation modeling tool. The direct relationship between information quality and student satisfaction is significant; however, the moderating effect of learner quality and instructor quality is insignificant. The moderating effects of learner and instructor quality have been less researched in the existing literature. This study contributes to uncovering the complex interactions between these variables and the relationship between information quality and satisfaction.

The great debate: UX vs. usability. Which indicators are relevant to measure the success of information systems in higher education

The great debate: UX vs. usability. Which indicators are relevant to measure the success of information systems in higher education

Assessing the Acceptance and Utilization of ChatGPT by Chinese University Students in English Writing Education

As an advanced large language model, ChatGPT has garnered significant attention from academic researchers and educators due to its capabilities in generating coherent natural-language responses based on user input, facilitating extended dialogues, and contextual comprehension. Numerous scholarly investigations delve into the merits and potential shortcomings of ChatGPT within educational contexts, emphasizing both the model’s inherent attributes and the scarcity of end-user feedback. Furthermore, the Technology Acceptance Model and the Information System Success Model serve as prevalent frameworks in assessing user receptivity and satisfaction with novel technologies. This research employed an online questionnaire to probe Chinese university students’ perceptions and adoption of ChatGPT in English writing instruction, assessing five distinct dimensions using a Likert scale. The findings suggest a favorable inclination among students towards ChatGPT concerning its utility and effectiveness. However, ChatGPT has yet to supplant the indispensable role of educators entirely, and apprehensions persist about potential privacy infringements and associated technological issues.

Evaluation of Surabaya population administration & civil registration systems using DeLone & McLean information system success model

This paper aims to prove that different types of users influence the degree of user satisfaction with the Surabaya Population Administration & Civil Registration Systems (KNG) and confirm that there are differences in satisfaction between internal and external users. D&M IS Success Model is used to evaluate user satisfaction. The data were collected via a survey and analyzed by the PLS-SEM method. The results revealed that service quality has the most significant influence on user satisfaction. The results also revealed that there are differences in variables that influence user satisfaction with the KNG system between different types of users.

Continuous Use of NFT Trading Platforms: A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model

Continuous Use of NFT Trading Platforms: A Perspective Integrating the Expectation Confirmation Model and the Information Systems Success Model

Main Factors Affecting Successful Adoption of Management Information System in Yemen Mobile Phone Enterprises

Management Information System play significant role in the management, administration as well as operation of an organization, therefore the organizations consider it as major tool that can lead to development and continuity. Mobile phone one of the most sectors, which is aware of the usefulness of applying management information system. The objective of study is focusing on the successful adoption of management information system in mobile phone enterprises in Yemen. Thus, this study aims to reveal the main factors, which can affect successful adoption of management information systems. The field study of this research apply on mobile phone enterprises in Yemen. Through a literature review, the most common theories and models in the areas of information systems success and technology acceptance related to the study mentioned. We proposed a conceptual model based on theories in the field of technology acceptance and adoption of management information systems. The proposed study framework includes the main influencing factors: attitude toward using system, system quality, information quality, computer anxiety, job relevance and management support, an attempt to reveal the extent of the influence of these factors to overcome the restrictions that prevent the utilization of information systems, which in turn leads to improving the performance of these enterprises.

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students' intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis (CFA) to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling (SEM). It was divulged that e-Learning usage intention (BI) is influenced by attitude (ATT), perceived usefulness (PU), students' online learning satisfaction (SOS) and subjective norms (SN). But perceived ease of use (PEU) and system quality (SQ), internet service quality (ISQ) and perceived behavioral control (PBC) do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

Blockchain technology adoption in supply chain management: an investigation from UTAUT and information system success model

Blockchain technology adoption in supply chain management: an investigation from UTAUT and information system success model

Factors Impact on Fine Art Major Student’s Continuance Intention to Blended Education of the Public Universities in Chengdu Region

A blended learning strategy combines traditional in-person instruction with online education. During the COVID-19 pandemic, traditional face-to-face teaching has been severely challenged. Blended learning, which combines the advantages of traditional learning methods and online learning, has gradually been widely adopted by the majority universities in China. The objective of this quantitative research is to investigate the elements that influence students majoring in painting at Chengdu’s public colleges and universities’ continuance intention to engage in blended learning. The information systems success model, the expectation confirmation model, and the theory of planned behavior provided the intellectual foundation of this research. It is assumed that the five latent variables of information quality, system quality, perceived usefulness, satisfaction, and attitude have the significant impact on continuation intention. The study adopted quantitative research, selected three public colleges and universities in the Chengdu area, and stratified sampling students who had experience in blended learning, obtained valid questionnaires, and explored the key factors affecting college students’ continuous use of blended education in the post-epidemic era. Based on the conclusion of this study: the attitude of the target students had the greatest impact on continuance intention. These factors also provide guidelines for schools to implement blended learning in teaching and learning environments.

Antecedents and Consequences of User Satisfaction in Measurement of The Successful Implementation of Institution Level Financial Application System (SAKTI)

This research aims to measure the level of success in implementing SAKTI in the Work Unit Office which is one of the vertical units of the Directorate General of Treasury, Ministry of Finance. The procedure is carried out by analysing the factors that influence the success of information system implementation based on TAM theory and referring to the [1] information system success model. The type of data in this research is primary data using a questionnaire method. The subjects of this research are implementing employees who use the SAKTI application in the Special Region of Yogyakarta Province. The sampling method in this research used a purposive sampling technique. This research derived four hypothesis which were tested using the SEM-PLS analysis tool via the smartPLS v4.0 application. The results of this research show that information quality and service quality have a positive effect on user satisfaction, while system quality has no effect on user satisfaction. Then user satisfaction has a positive effect on net benefits.

When Tech Goes Sour: A Directed Qualitative Content Analysis of Negative User Experiences in Food and Beverage Mobile Apps

In the past decades, there have been a growing number of food and beverage brand marketers who have extended their offerings via mobile apps. However, despite the increasing interest and investment in the mobile app market, there is still room for improvement in food and beverage mobile app retention. This study aims to explore why customers are disappointed with their food and beverage mobile apps. Specific attention is given to the role of customers’ negative food and beverage mobile app usage experiences. Based on the directed qualitative content analysis method, 3,866 valid user reviews from the top 5 Malaysian food and beverage mobile apps in the Google Play Store were collected and analyzed using NVivo version 12. Drawing from Delone and McLean information system success model and expectancy-disconfirmation model, the study found that customers’ negative food and beverage mobile app usage experience is complex and multidimensional. They can be categorized as performance expectancy disconfirmation and effort expectancy disconfirmation. Theoretically, the study extends the current understanding of mobile app usage retention mechanisms. In terms of practical implications, the study could provide valuable insights into improving consumers’ emotional experiences with food and beverage mobile apps, thereby enhancing user retention strategies. Researchers should consider the limitations of the study as opportunities for future research.

Measuring cloud information systems’ effect on financial information quality using the information system success model: Evidence from Saudi Arabia

This paper explores the effects of cloud information systems on the quality of financial reporting within Saudi Arabian enterprises, utilizing the DeLone and McLean Information Systems Success Model as its theoretical foundation. The central inquiry of this research assesses the influence of cloud information systems on the quality of financial data. It hypothesizes a beneficial correlation between these elements. The study involved 203 auditors from Saudi accounting firms, and the findings underscored a significant positive influence of the model's six dimensions on financial information quality. The utilization of cloud information systems appears to bolster financial reporting quality in organizations. This research enriches existing literature by empirically validating the positive effects of cloud information systems on financial data quality in Saudi contexts. Additionally, it underscores the practical utility of the IS Success Model in evaluating the efficacy of cloud information systems in enhancing financial information quality. These insights are particularly valuable for managers and policymakers contemplating the adoption of cloud-based systems to augment their financial reporting processes.

Impact of User Satisfaction With E-Government Services on Continuance Use Intention and Citizen Trust Using TAM-ISSM Framework

Aim/Purpose: This study investigates the drivers of user satisfaction in e-government services and its influence on continued use intention and citizen trust in government. It employs the integration of the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM). Background: Electronic government, transforming citizen-state interactions, has gained momentum worldwide, including in India, where the aim is to leverage technology to improve citizen services, streamline administration, and engage the public. While prior research has explored factors influencing citizen satisfaction with e-government services globally, this area of study has been relatively unexplored in India, particularly in the post-COVID era. Challenges to widespread e-government adoption in India include a large and diverse population, limited digital infrastructure in rural areas, low digital literacy, and weak data protection regulations. Additionally, global declines in citizen trust, attributed to economic concerns, corruption, and information disclosures, further complicate the scenario. This study seeks to investigate the influence of various factors on user satisfaction and continuance usage of e-government services in India. It also aims to understand how these services contribute to building citizens’ trust in government. Methodology: The data were collected by utilizing survey items on drivers of e-government services, user satisfaction, citizen trust, and continuance use intention derived from existing literature on information systems and e-government. Responses from 501 Indian participants, collected using an online questionnaire, were analyzed using PLS-SEM. Contribution: This study makes a dual contribution to the e-government domain. First, it introduces a comprehensive research model that examines factors influencing users’ satisfaction and continuance intention with e-government services. The proposed model integrates the TAM and ISSM. Combining these models allows for a comprehensive examination of e-government satisfaction and continued intention. By analyzing the impact of user satisfaction on continuance intention and citizen trust through an integrated model, researchers and practitioners gain insights into the complex dynamics involved. Second, the study uncovers the effects of residential status on user satisfaction, trust, and continuance intention regarding e-government services. Findings reveal disparities in the influence of system and service quality on user satisfaction across different user segments. Researchers and policymakers should consider these insights when designing e-government services to ensure user satisfaction, continuance intention, and the building of citizen trust. Findings: The findings indicate that the quality of information, service, system, and perceived usefulness play important roles in user satisfaction with e-government services. All hypothesized paths were significant, except for perceived ease of use. Furthermore, the study highlights that user satisfaction significantly impacts citizen trust and continuance use intention. Recommendations for Practitioners: The findings suggest that government authorities should focus on delivering accurate, comprehensive, and timely information in a secure, glitch-free, and user-friendly digital environment. Implementing an interactive and accessible interface, ensuring compatibility across devices, and implementing swift query resolution mechanisms collectively contribute to improving users’ satisfaction. Conducting awareness and training initiatives, providing 24×7 access to online tutorials, helpdesks, technical support, clear FAQs, and integrating AI-driven customer service support can further ensure a seamless user experience. Government institutions should leverage social influence, community engagement, and social media campaigns to enhance user trust. Promotional campaigns, incentive programs, endorsements, and user testimonials should be used to improve users’ satisfaction and continuance intention. Recommendation for Researchers: An integrated model combining TAM and ISSM offers a robust approach for thoroughly analyzing the diverse factors influencing user satisfaction and continuance intention in the evolving digitalization landscape of e-government services. This expansion, aligning with ISSM’s perspective, enhances the literature by demonstrating how user satisfaction impacts continuance usage intention and citizen trust in e-government services in India and other emerging economies. Impact on Society: Examining the factors influencing user satisfaction and continuance intention in e-government services and their subsequent impact on citizen trust carries significant societal implications. The findings can contribute to the establishment of transparent and accountable governance practices, fostering a stronger connection between governments and their citizens. Future Research: There are several promising avenues to explore to enhance future research. Expanding the scope by incorporating a larger sample size could enable a more thorough analysis. Alternatively, delving into the performance of specific e-government services would offer greater precision, considering that this study treats e-government services generically. Additionally, incorporating in-depth interviews and longitudinal studies would yield a more comprehensive understanding of the dynamic evolution of digitalization.

The Influence of Employee Competence and Use of Information Technology on Financial Accountability with the Success of Information Systems as Moderating Variables

Manuscript type: Research paper Research aims: This study aims to determine the influence of employee competence and the use of information technology on financial accountability, and also the role of moderation in the success of the information system and how it impacts financial accountability vis-à-vis the use of information technology. Design/Methodology/Approach: This research was implemented with a casual setting for the Local Government Work Unit (LGWU) finance department employees in Bantul Regency. Samples were taken from 150 employees with accidental sampling. Data collection was carried out using questionnaires. Data analysis was performed using the PLS-SEM method. Research findings: Employee competence and the use of information systems have a positive and significant effect on financial accountability. The information systems' success did not moderate the influence of information technology itself on financial accountability. Theoretical contribution/Originality: This research provides new insight into the role of moderation in the success of information systems on the influence of information technology on financial accountability. Practitioner/Policy implications: This study suggests that local governments can continue to improve employee competence through the use of information technology. One actionable way would be to make budget allocations for the maintenance and repair of the current information technology facilities and infrastructure. Research limitation/Implication: While previous research has focused on the use of information technology in enhancing financial accountability, these results show that the success of information system is a moderating predictor of accountability

Higher education EFL online success model: An adaptation to the DeLone and McLean IS Success Model

This study aims to adapt and extend the DeLone and McLean Information System (IS) success model in the context of an online English as a Foreign Language (EFL) higher education foundation program. The objective is to enhance teaching, learning, and knowledge-sharing experiences within a virtual community of practice (vCoP). The research involved eight experienced full-time university lecturers with master's degrees in English language teaching as participants. They were presented with six open-ended questions followed by interviews. The study addresses the gap between research and practice by assessing the effectiveness of the model in measuring knowledge-sharing and user interaction within the EFL vCoP. The findings highlight the need for tailored models in specific online learning domains, such as EFL, rather than applying a generalized approach to education. The findings have practical implications for designing and evaluating online educational programs and communities, ultimately enhancing the quality of online learning experiences. The study proposes potential indicators of success, paving the way for future research in the field of online education. By identifying and refining these indicators, educators and researchers can better assess the impact of online learning platforms and communities on student outcomes, engagement, and knowledge-sharing.

Student Satisfaction Assessment Study of E-Learning Users: User Satisfaction with IT (USIT)

E-Learning has changed the traditional learning paradigm that is limited to a certain physical space and time. Through eLearning, students can access various educational contents, such as learning modules, learning videos, interactive exercises, and discussion forums, which can be accessed anytime and anywhere by using electronic devices such as computers, laptops, or smartphones.User Satisfaction with IT (USIT) was developed by DeLone and McLean in the context of Information Systems Evaluation in 1992. DeLone and McLean proposed a framework for measuring the success of information systems based on several dimensions including user satisfaction. This USIT framework has undergone development and modification from time to time by researchers and practitioners in the field of Information Systems Evaluation. This study aims to determine the level of satisfaction on the online simulation using the USIT model which is serious in user satisfaction which consists of variables in USIT.This study shows the level of satisfaction of students as e-learning users. It can be concluded that the majority of students are satisfied with their experience using the e-learning platform. This can be seen from the level of positive responses to questions relating to user satisfaction.