McLean Information Systems Success Model Research Articles

Qualitative Insights into Organizational Value Creation: Decoding Characteristics of Metaverse Platforms

AbstractThe significance of metaverse platforms is growing in both research and practical applications. To utilize the chances and opportunities metaverse platforms offer, research and practice must understand how these platforms create value, which has not been adequately explored. Our research explores the characteristics of metaverse platforms that facilitate value creation for organizations in both B2B and B2C sectors. Employing a qualitative inductive approach, we conducted 15 interviews with decision-makers from international corporations active in the metaverse. We identified 26 metaverse platform characteristics, which we categorized into six dimensions based on the DeLone and McLean Information Systems success model. Subsequently, we provide examples to illustrate the application of these identified characteristics within metaverse platforms. This study contributes to the academic discourse by uncovering the characteristics that shape the competitive landscape of emerging metaverse platforms. Leveraging these characteristics may offer metaverse providers a competitive edge in attracting complementary organizations to their platforms.

Exploring how quality dimensions enhance videoconferencing platform benefits from an information systems success perspective

The rapid growth of videoconferencing technology in e-learning has gained significant attention in recent years. However, the literature lacks focus on the quality aspects contributing to the success of videoconferencing platforms in online learning. To fill this gap, this study used the DeLone and McLean information system success model to assess how three quality aspects (system, information, and service) of Microsoft Teams videoconferencing platform influenced students’ learning outcomes in online learning. The study involved surveying 261 students and found that all three quality dimensions significantly impacted students’ usage and satisfaction with Microsoft Teams. Remarkably, information quality had the most pronounced influence, and system use also positively affected student satisfaction, whereas student satisfaction played more significant role in their perceived benefits compared to system use. The study concluded that Microsoft Teams’ three quality dimensions contribute to enhancing student-perceived benefits in e-learning environment, confirming its success as an e-learning platform for students.

The Delone and McLean Information System Success Model: Investigating User Satisfaction in Learning Management System

The Delone and McLean Information System Success Model: Investigating User Satisfaction in Learning Management System

Multidisciplinary user experience of a newly implemented electronic patient record in Ireland: An exploratory qualitative study

BackgroundImplementation of an Electronic Patient Record (EPR) in a key milestone in the digital strategy of modern healthcare organisations. The implementation of EPR systems can be viewed as challenging and complex. ObjectiveThe aim of the study was to investigate user perspectives and experiences of the implementation of an Electronic Medical Record in a major academic teaching hospital, with simultaneous ‘go-live’ across the whole hospital taking place. MethodsFocus groups and individual in-depth interviews were conducted with stakeholders and users (n = 105), approximately nine months post-EPR implementation. The study explored EPR users’ perceptions using an extended theoretical framework of the DeLone and McLean Information Systems Success Model (2003), which measured information systems, system quality, information quality, service quality, use/perceived usefulness & user satisfaction and net benefits. ResultsStaff engagement and satisfaction was high and the EPR is accepted as the new standard way of completing care. There was agreement that the EPR affords transparency, and greater accountability. There was some concern expressed regarding impact of the EPR on interprofessional and patient/provider interactions and communication. Physicians reported the inputting of social history through free text as an issue of concern and time consuming. The Big Bang approach with mandatory conversion was key to the successful adoption of EPR. There was consensus across professional and administrative respondents that there was no appetite to return to paper-based records. ConclusionThe successful roll out of the EPR reflects the digital readiness of healthcare providers and organisations. The potential for unintended consequences on work process requires continual monitoring. A key future benefit of the EPR will be the capacity to reach a broader understanding and analysis of variation in processes and outcomes within healthcare organisations. It is clear that skills in data analytics will be needed to mine data successfully.

Linking enterprise information systems success to female employees’ work–family enrichment in China

Abstract The spread and application of enterprise information systems (EISs) has provided scholars and managers with a new perspective to enhance the work–family enrichment. Based on the work–family enrichment theory, this research aims to examine the ability of female employees to enhance their work–family enrichment by applying the resources accumulated through the use of EISs by combining the technology acceptance model with the DeLone & McLean Information Systems Success Model. The findings based on a survey of 823 full-time female employees in China indicated that the information systems quality factors (including information quality, system quality, and service quality) were positively associated with female employees’ work–family enrichment. In addition, the chained mediating effect of perceived ease of use and perceived usefulness was examined. The results can help female employees to perform positively in both work and family spheres and provide positive support for the promotion of the social fertility policies.

Exploring the potential of blockchain‐enabled smart contracts for achieving net‐zero emissions: An empirical study

AbstractA sustainable future entails addressing net‐zero emissions, which balances greenhouse gas emissions, thereby mitigating climate change. This study explores the relationship between the information quality, system quality, and service quality of blockchain‐enabled smart contracts (BSCs) with collaboration quality to achieve net‐zero emissions. The study further explores the role of collaboration quality in influencing the intention‐to‐use BSC and organizational satisfaction. The study employed the revised DeLone and McLean model and validated it with data from 434 respondents using structural equation modeling. The results validate all the hypotheses derived from the updated DeLone and McLean information system (IS) success model. There exist significant relationships between information quality, system quality, and service quality in the BSCs leading to collaboration quality to achieve net‐zero emissions. The study establishes the significant role of collaboration quality which positively impacts usage behavior and organizational satisfaction, mediated by the intention to use. The findings of this study offer insights for organizations and policymakers seeking to harness blockchain for environmental sustainability.

ANALYSIS OF IMIS'S SUCCESS ON TEACHER PERFORMANCE AND ORGANIZATIONAL PERFORMANCE IN VOCATIONAL SCHOOLS

This paper aims to analyze the factors that influence individual and organizational performance regarding the use of an Internship Management Information System (IMIS), which is named the SIM-PKL application for the internship program at SMK Negeri 11 Malang, with a framework in the DeLone and McLean Information Systems Success Model (ISSM). A quantitative method was employed, gathering data from SIM-PKL users. The sample comprised 55 respondents: 9 coordinators, 30 vocational teachers, and 16 general subject teachers. The analysis identifies key success factors, including system quality, information quality, service quality, intention to use, satisfaction, individual performance, and organizational performance. The findings align with the Delone & McLean framework, which evaluates information system success. Further analysis revealed a significant direct influence of system quality, information quality, and service quality on usage intentions and user satisfaction, while the net benefits (individual and organizational performance) were not statistically significant. Intention to use and user satisfaction are able to significantly mediate the influence of system quality, information quality, and service quality on net benefits. Intention to use and user satisfaction are important to increase system usage, enhance productivity, and positively affect performance. This study contributes to understanding SIM-PKL to guide schools in enhancing their management information systems.

Understanding mobile learning continuance after the COVID-19 pandemic: Deep learning-based dual stage partial least squares-structural equation modeling and artificial neural network analysis

The influence of COVID-19 on educational processes has halted physical forms of teaching and learning and initiated online and mobile learning systems in most countries. The provision and usage of online and e-learning systems are becoming the main challenge for many universities during the COVID-19 pandemic. Due to the novelty of this situation, a substantial amount of research has been carried out to investigate the issue of m-learning adoption or acceptance. Nevertheless, little is known about studying to examine the continued use of m-learning, which is still in short supply and calls for further research. Five different theoretical models are integrated into this study to develop an integrated model that overcomes this limitation, including the technology acceptance model, the theory of planned behavior, the expectation-confirmation model, the Delone and McLean Information System Success Model, and the Unified Theory of Acceptance and Utilization of Technology 2. This conceptual framework shows novel relationships between variables by integrating trust, personal innovation, learning value, instructor quality, and course quality. Unlike extant literature, this study utilized a hybrid analysis methodology combining two-stage analysis using partial least squares structural equation modeling (PLS-SEM) and evolving artificial intelligence named deep learning (Artificial Neural Network [ANN]) on 250 usable responses. The sensitivity analysis results revealed that attitude has the most considerable effect on the continued use of m-learning, with 100% normalized importance, followed by perceived usefulness (88%), satisfaction (77%), and habit (61%). This research reveals that a “deep ANN architecture” may determine the non-linear relationships between variables in the theoretical model. Further theoretical and practical implications are also discussed.

Developing The E-Learning System Success Model: A Developing Country Perspective

This study aimed to develop a comprehensive e-learning system success model from a developing country perspective. The integrated lens of DeLone & McLean-Information System Success Model, the Model for Measuring E-learning System Success, and the Social Cognitive Theory was used to develop a research model. Twelve hypotheses were developed and tested with 188 participants. The study employed the Structural Equation Modeling technique to analyze data. Out of 12 hypotheses, two were rejected. At the same time, ten were supported, implying that variables such as contentment and information quality, user self-efficacy, user satisfaction, intention to use/use, net benefits, and loyalty to the system were appropriate for measuring the e-learning system success in developing countries. Based on these results, we recommend that the technical system quality and educational system quality of e-learning systems should be improved.

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.

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.

Determinants of Hospital Information Management System (HIMS) Implementation at Puri Medika Hospital

Background: Hospital Information Management System (HIMS) plays a pivotal role in modern healthcare facilities, encompassing administrative, medical, and financial components. Ensuring high-quality healthcare services hinges on the accuracy, continuity, and security of data, aligning with HIMS's mission. This quantitative research investigates the determinants influencing the implementation of HIMS at Puri Medika Hospital. Method: The research employs a dual-model approach, combining a modified HOT-Fit model with the DeLone and McLean Information Systems Success Model (D&M model), facilitating a comprehensive evaluation of factors affecting HIMS implementation. Result: The study scrutinizes pathways involving human, organizational, technological, and net benefit factors, shedding light on their intricate interactions. The findings reveal that determinants such as information quality, system development, user satisfaction, system benefits, service quality, system quality, organizational structure, environment, and user adoption significantly impact HIMS implementation at Puri Medika Hospital. Conclusion: This research contributes valuable insights into enhancing HIMS effectiveness and healthcare service quality.

An analysis of users’ continuous use intention of academic library social media using the WeChat public platform as an example

PurposeThis study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, and then considers how to promote and improve further work on library social media to reduce user churn and increase user satisfaction.Design/methodology/approachAn updated DeLone and McLean information systems success (D&M ISS) model and the expectation confirmation model for information systems continuance (ECM-ISC) with new variables of emotions are used to examine the factors which influence user satisfaction levels and CUI of academic library social media through 445 questionnaires. Partial least squares structural equation modelling was used to analyse the data and presented in tables.FindingsThe results show that information quality, system quality and emotions affect user satisfaction and CUI, and reveal that emotions can affect that most obviously.Research limitations/implicationsThe WeChat public platform is mainly used in China, so the study only focuses on Chinese academic libraries. There are still limitations on the settings of observed variables which cannot cover all the causes of users’ positive and negative emotions. In addition, although the respondents of this questionnaire can represent academic library users, 445 samples are still fairly low in contrast to the great number of academic library WeChat public platform users.Originality/valueThis study integrates ECM-ISC and D&M ISS models, adds positive and negative emotions as new variables, to broaden the application scope of these models, and demonstrates the applicability of these two models in the fields of researching academic library social media, expanding and deepening related theories above. This also provides practical reference for academic libraries on how to improve user satisfaction and CUI of academic library social media and academic library WeChat public platforms, promoting the development of academic library social media.

Determinants and consequences of routine and advanced use of business intelligence (BI) systems by management accountants

There is limited evidence on why decision makers extend beyond routine use toward more advanced use of Business Intelligence (BI) systems. This study developed an extended DeLone and McLean information system success model hypothesizing the effects of system, data, information, and service quality, along with self-efficacy and task complexity, on routine and advanced use of BI. Task complexity was also considered as moderating the effects of use on individual performance. Data was collected from a sample (N = 362) of management accountants using BI systems. Results confirmed system, data, information, and service quality as important, and indicated that routine use is less likely under conditions of task complexity and does not rely on user self-efficacy to the same degree as advanced use. Using routine BI features was also not found to improve user performance to the same extent as advanced use. The study has contributed new theoretical insights into BI use and offered new conceptual and operational definitions of routine and advanced use of BI, with implications for practice in contexts such as management accounting.

Examining the Determinants of the Customer’s Continuance Intention in Mobile Banking: Integrating ECM and D&M Model

The purpose of the study is to investigate the determinants of the customer’s continuance intention (CIN) behavior to use mobile banking applications. The study established and validated an extended framework based upon the combination of expectation-confirmation model (ECM) and DeLone & McLean information system success model (D&M Model) by including trust and self-efficacy. A total number of 448 users of mobile banking participated in this research. Based upon the applicable data gathered from a survey, structural equation modeling (SEM) was used to test the proposed research. The results indicate that perceived usefulness, confirmation, system quality, and information quality are the main predictors of satisfaction (SAT). Furthermore, the results revealed that SAT, trust, and self-efficacy have significant impact on CIN.

Quality and Evaluation of Information Systems in Institutional Organizations: Archives and Libraries

The factors affecting the success and efficiency of information systems are always an important and critical aspect for the structure, proper operation, and improvement of the produced services and products of an organization for its end users-both for the internal ones (employees) and for the external ones (public). At the present, the need to create suitable parameters, assisting in evaluating and measuring the successful operation of an information system in an organization is constantly growing. The purpose of the specific thesis is, firstly, to introduce us to the environment of the organizations’ information systems, while also providing us with a complete and extended presentation of their operations, processes, infrastructures, and factors of success. Through Systems Theory, we shall examine the analysis and design for an information system, while identifying the quality parameters necessary for measuring its success. In addition, we shall employ the model for measuring quality for an information system called: “DeLone & McLean Information Systems success model”. We shall see what each parameter of the above model examines by investigating concepts such as system quality, information quality, user satisfaction, effect of quality onuses and organization. At the same time, we shall develop an application for evaluating the quality of an information system, the so-called: "Organizational Memory Information Systems Quality" which builds on the success model of DeLone & McLean. The main objective of this thesis is to reach into a fruitful discussion regarding quality in the operation, infrastructure, and provided services of institutional organizations. Moreover, we shall focus on the usefulness and importance of measuring factors regarding efficiency for an information system, as this procedure is used by modern Society of Information, in order to be transformed to Society of Knowledge.

Measuring Video Conferencing System Success in Higher Education: Scale Development and Evaluation

The COVID-19 pandemic has placed great importance on video conferencing tools in delivering instruction at higher education institutions (HEIs). Increased interest in video conferencing tools for hybrid and fully online teaching is also expected in the post-pandemic period. The main focus of this paper is on the analysis of the BigBlueButton video conferencing tool by using survey data collected from students (N = 175) at a HEI at the beginning of the COVID-19 pandemic. The assessment scales for data collection in the survey were based on the DeLone and McLean Information Systems Success Model (D&M ISSM), as well as on the concepts of usability (US), cognitive involvement (CI), and design appeal (DA). The analysis of the assessment scales indicated their good internal consistency and reliability (using the Cronbach alpha and other indicators). A correlation analysis and factor analysis were performed to assist in developing a structural model of the relations between independent variables; system quality (SYSQ), information quality (INFQ), service quality (SERQ), US, CI, and DA; and the dependent variable intention to use (IU) the BigBlueButton video conferencing system. A structural model was developed and confirmed with the use of partial least squares structural equation modeling (PLS-SEM), and the explanatory power (R2 value) of this model was .507 regarding the dependent variable IU the BigBlueButton system.

Exploring Human Values and Students’ Aspiration in E-Learning Adoption: A Structural Equation Modeling Analysis

This study explores the significance of students’ aspirations as motivation and expectations in adopting e-learning, considering the influence of cultural values. The research utilizes a theoretical framework that integrates the Technological Acceptance Model, the Unified Theory of Acceptance and Use of Technology, and the DeLone and McLean Information System Success Model, along with Schwartz’s human values. Employing a quantitative approach, the study investigates the relationship between social factors and e-learning adoption through a survey of 509 students at King Abdulaziz University in Saudi Arabia using a structured questionnaire and Structural Equation Model for hypothesis testing. Results reveal that students with a proclivity for change and self-enhancement have higher motivation and expectations towards e-learning, while those with conservative perspectives show lower motivation and expectations. Additionally, students prioritizing self-enhancement and openness to change are more likely to actively engage in e-learning adoption. This research contributes to sustainability by highlighting how fundamental human values influence e-learning adoption. It also emphasizes the role of sustainable education and transformative learning processes in shaping attitudes towards e-learning. These insights inform the development of effective e-learning programs, benefiting the field of e-learning research and providing valuable guidance to researchers, policymakers, and decision-makers in creating more inclusive and sustainable educational practices.

Students’ Perception of Online Learning Quality and Preference for the Online Learning Model

Aims: As a result of the novel coronavirus (COVID-19) pandemic, the traditional face-to-face learning approach at tertiary institutions was replaced by an online learning model. This has a significant impact on tertiary students, teachers, and administrators, particularly in Ghana, where online learning has not been widely used in the past. The current study looked at how students' perceptions of the quality of their online learning experiences affected their acceptance of the paradigm before and after the COVID-19 prevalence.
 Study Design: The study adds to the body of knowledge by assessing how well the modified DeLone and McLean information systems success model applies to online learning.
 Place and Duration of Study: Technical Universities in Ghana between September 2021 and May 2022.
 Methodology: Structured questionnaires were used to obtain primary data from 1386 students at Ghana's technical universities. The study employed the multiple linear regression model to examine the effects of class and gender on students' opinions of the quality and preferences for the online learning model.
 Results: The study's findings revealed that the online learning system provided quality service to students, with a mean response value (MRV) ranging from 3.74 to 4.52.
 It was also discovered that 72% of students preferred online learning because of the system quality, information quality, and service quality provided.
 Conclusion: Students must be encouraged to pursue online education that is appropriate, cutting-edge, and useful if they are to succeed and remain relevant in the digital age. Tertiary institution administrators are being encouraged to improve the quality of the online learning environment for both students and teachers.

Online Food Delivery System Success Model: The Role of Brand Image in Customer Response

Among all industry sectors, the food industry’s e-business volume grew at the fastest rate in 2020 (434%). The market for online food delivery is expected to increase at a rate of 6.36% per year between 2021 and 2024. For this reason, ordering food online via websites or applications has grown in importance within the distribution chain of restaurants. This study’s primary goals are to find out the relationship between system experience and brand image as well as the impact of brand image on customer satisfaction. The research theoretical framework is based on the Stimulus-Organism-Response (SOR) paradigm. The DeLone and McLean Information Systems Success Model is also used in this study. The total system quality (information, system, and service quality) serves as the “stimulus” in this context. Brand image as the “organism” and customer satisfaction serves as the “response”. The findings showed that the quality of information had no positive effect on customer satisfaction. Meanwhile, the quality of the system and service has a positive effect on the brand image. This research shows the importance of brand image in creating customer satisfaction in the online food delivery industry. The findings of this study contribute to companies that want to choose an online food delivery service provider.