IS Success Model Research Articles

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.

Exploring Factors Affecting User Satisfaction in myIM3: Integrating TAM, UTAUT, and the Information Systems Success Model in Mobile Telecommunication Services

Exploring Factors Affecting User Satisfaction in myIM3: Integrating TAM, UTAUT, and the Information Systems Success Model in Mobile Telecommunication Services

The Influence of the Information System Success Model and the Technology Acceptance Model on the Behavioral Intention of Specialist Doctors to use Electronic Medical Records For Inpatient Care Unit

The acceleration of technological developments affects the management of information systems within the hospital, especially in using of Electronic Medical Records (EMR). Behavioral intention to use EMR is the essential factor, the role of user is one of the keys to successful EMR implementation. This study aims to analyze the factors that influence behavioral intention of specialist doctors to use inpatient EMR. Data were obtained through questionnaires using the Likert measuring scale and data analysis was processed using SEM (Structural Equation Modelling). Quantitative analytical research method with cross-sectional design using a total sampling of 144 specialists. Of the total 144 respondents, the majority of respondents were male (59%), aged 40-50 years (30.6%) and had a working period of more than 20 years (25.7%). Hypothesis analysis found that there was an effect of system and information quality on perceived ease of use and usefulness. System quality, perceived ease of use and usefulness influence behavioral intention, while information quality has no effect, but indirectly influences behavioral intention through perceived ease of use and usefulness. Service quality has no effect on perceived ease of use, perceived usefulness, and behavioral intention. Perceived usefulness has the greatest influence on behavioral intentions to use inpatient EMR. As an implication of this study, it was found that it is necessary to optimize the inpatient EMR system in the aspects of reliability and connectivity.

Application of Valance Framework and D&M IS Success Model to Analyze Determinant Factors of Intention to Use E-Commerce Services for Sellers

Finding out what influences’ MSMEs' (small and medium-sized enterprises) desire to use e-commerce is the goal of this research. This study employed a quantitative methodology. A survey and the indirect distribution of questionnaires served as the data collection methods. MSMEs who currently use e-commerce as a sales channel received questionnaire data. The MSMEs in large cities that have used e-commerce as a sales channel make up the population of this study. Purposive sampling is a non-probability sampling technique that was employed by the researcher. The investigator made the decision to employ a 200-sample maximum. In this study, the PLS-SEM program SmartPLS was used for data analysis. An outer model analysis and an inner model analysis were performed. Several conclusions can be drawn from this research, including the fact that perceived benefit is the factor that influences MSMEs' intentions the most. As a result, sellers who have experienced the benefits will be more inclined to use e-commerce. Two of the hypotheses are not accepted. This is due to the fact that MSME actors must engage in e-commerce, meaning that quality and service have no bearing on their goals. The theory that has the biggest impact is that trust is influenced by system quality. Thus, it can be said that MSME participants have more faith in the system the higher its quality.

Impact of Perceived Value of Facility AI Platform Service on Reuse Intention based on IS Success Model

Impact of Perceived Value of Facility AI Platform Service on Reuse Intention based on IS Success Model

Analysis of Acceptance and Success of Digipos Aja Telkomsel in Kalimantan Region Using The Integration of UTAUT and DeLone & McLean Models

The current development of technology and information is driving various business sectors to undergo transformation. Telkomsel continues to strive to enhance ease in providing digital connectivity support solutions. One of these efforts is the establishment of a supply chain ecosystem through the management of Telkomsel resellers by introducing the Digipos Aja application. This research aims to identify factors that influence acceptance and success of implementing Digipos Aja. It employs variables from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and Delone and McLean IS Success model. A mixed methods approach is utilized to integrate quantitative data in order to gain a comprehensive understanding of factors that affect application usage. Quantitative method involves collecting data about usage frequency, user satisfaction levels, and benefits received through a questionnaire distributed to 400 resellers using DigiPOS Aja in the Kalimantan region. Quantitative data is analyzed using Partial Least Square (PLS) and Structural Equation Modeling (SEM) with the data processing tool SmartPLS. The research results indicate that two variables, System Quality and Service Quality, are not significant in relation to Continuance Intention.

Information systems success in libraries: a meta-analysis of ISSM and future direction

PurposeThe purpose of this study is to investigate the relationships between the information system success model constructs including information quality (IQ), system quality (SysQ) and service quality (ServQ) with user satisfaction (US) and intention to use (IU).Design/methodology/approachA meta-analysis approach was used to achieve the objectives. For this purpose, the PRISMA-P guideline was used, and a search strategy was designed to search in three indexing databases including Google Scholar, Scopus and LISTA.FindingsThe findings of this research revealed that IQ, SysQ and ServQ are positively related to US and IU regarding library systems. The strength of the relationship between IQ and IU, IQ and US, ServQ and US and SysQ and US was high.Originality/valueThis study is a unique addition to the literature, as it provides a collective and comprehensive conclusion regarding different information systems’ (ISs) success in libraries. Therefore, it fills the literature gap. The findings also work as guidelines for system developers, designers and library high-ups to consider IQ, SysQ and ServQ while designing and developing ISs for libraries.

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.

Designing a doctor evaluation index system for an online medical platform based on the information system success model in China.

In the context of "internet + medical health" and emphasis on evaluation mechanism for medical and health talents in China, we design an evaluation index system for doctors on online medical platforms by synthesizing two patterns of existing online medical platforms, which is the first step to enhance the capabilities of doctors on online medical platforms. Based on the doctor evaluation model integrating information systems success model (ISS-DE model) and grounded theory, the evaluation indicators were obtained through expert interviews, offline medical institutions investigation, online platforms investigation, and literature research, and were assigned weights using the analytic hierarchy process (AHP) method. A working group composed of 23 experts was set up to review and determine the competency standards of doctors on the online medical platforms. A new indicator framework covering 3 dimensions of system quality, service quality and information quality was constructed in this study. The index system included 3 first-level indicators, 8 s-level indicators and 60 third-level indicators, and each indicator was given different weightage. The complete index system constructed by the Delphi method in this study is suitable for China's online medical platforms, which will help to improve the quality of platforms and the ability of doctors, thus promoting the process of internet medical integration.

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.

Factors affecting the success of accounting information system from the lens of DeLone and McLean IS model

The main objective of this research is to investigate the impact of three different information system (IS) quality constructs, namely system quality, service quality, and information quality, as well as internal control quality, on both IS use and user satisfaction. The ultimate goal is to enhance the success of the information system. To achieve this goal, a quantitative approach using a survey questionnaire was employed to collect data from 111 respondents who are familiar with AIS use. The study utilized the Smart PLS-SEM to analyze the collected data and test the hypotheses. Additionally, the study proposed a theoretical model based on Delone and McLean's Information System (D&M IS) Success Model to support the findings. The results of the PLS-SEM analysis revealed that the paths leading from system quality to AIS utilization and information quality to AIS user satisfaction were not significant through direct correlations. However, all other links involving the IS success model were found to be significant according to the study outcomes. This research fills the gap in the limited theoretical understanding of AIS use and impact in Jordan and provides valuable contributions to existing IS literature, particularly in terms of identifying the determinants shaping the net benefits derived from AIS. The proposed model was validated in Jordanian companies implementing AIS, and the study can serve as a guide to underscore the importance of AIS. Finally, the study highlights some implications, acknowledges limitations, and presents prospects for subsequent research endeavors.

Application of Information System Model on Users’ Continuous Intention with Food Delivery Mobile Applications in Sustainable Business

This research investigates the variables affecting Malaysian consumers' continuous intention to utilise food delivery mobile applications. The target population is Malaysian mobile app users 18 years old and above with an online food ordering experience. The Smart Partial Least Square (PLS) and SPSS were used to scrutinise the data collected. Through the Google form URLs posted on social media, 275 complete survey surveys were gathered. The study's findings showed that system quality, service quality, and information quality significantly affect customer satisfaction. Subsequently, customer satisfaction greatly impacts how likely people are to use mobile applications for food delivery. Better consumer loyalty and higher customer repurchase intent would follow from this outcome. The IS success model was used in this research to analyse the continuous intention to utilise food delivery mobile applications since similar studies from the emerging country view remain underexplored. This research will help corporate executives create more effective marketing plans for targeting their market and expanding established consumer loyalty expertise in mobile app quality and customer demand.

Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model

This paper aims to identify the key factors influencing the intention to continue using enterprise resource planning (ERP) systems. Extending the Technology-Organization-Environment framework, the model integrates variables from both the Technology Acceptance Model and the Information Systems Success Model. We employed Partial Least Squares Structural Equation Modeling to analyze empirical data collected from 237 participants who use ERP systems in their workplaces. Our findings suggest that perceived usefulness has a positive impact on the intention to continue using ERP. Both system quality and information quality are pivotal in shaping perceived usefulness and perceived ease of use. Additionally, we found that top management support is a crucial determinant of continuance intention. The integrated model combines technological factors, organizational context, and environmental components to explain the ongoing use of ERP systems. This research enriches the existing literature on information systems, offering academics and managers deeper insights into the mechanisms driving continued ERP usage.

How Do the UTAUT and IS Success Model Create Mobile Payment Loyalty?

How Do the UTAUT and IS Success Model Create Mobile Payment Loyalty?

Exploring the Nexus of Student Engagement and E-Learning Adoption in Yemeni Universities: Unveiling Behavioral Intentions for Digital Education

E-learning has transformed higher education by utilizing Information and Communication Technology to provide a more dynamic approach to learning. To effectively implement e-learning in Yemeni public universities, it is vital to identify and address the influences impacting its acceptance. Despite the Yemeni government's efforts to introduce e-learning in both public and private universities, several obstacles must be overcome to ensure the system's success. This study seeks to explore the feasibility of adopting e-learning in Yemen's public universities and examine the influences influencing behavioral intention towards e-learning. To accomplish these aims, the DeLone and McLean Model of Information Systems Success (D&M ISS) and Technology Acceptance Model (TAM) and they were employed as theoretical frameworks. A survey was conducted, and data were collected through a survey from a sample of 250 students across public universities in Yemen. The study models' postulated factors' predictive behavior was examined using structural equation modelling (SEM). The results showed that perceived utility, service quality, information quality, and ICT infrastructure had a substantial impact on students' behavioral intention to engage in e-learning. In addition, attitude and user satisfaction influenced the relationship between these characteristics and behavioral intention.

Determinants and Influences of Information Systems Integration in a Public Higher Education Context

In this study, the authors used the technology-organization-environment (TOE) framework and DeLone and McLean's upstream information systems (IS) success model to construct and test a model that describes IS integration and its determinants and influences. The researchers modified the TOE model to include business and knowledge factors. Using a cross-sectional research design, they distributed survey questionnaires to participants at a Malaysian public higher education institution. The authors analyzed the data using partial least squares structural equation modelling. The results suggested that IS integration influences system quality and information quality positively. Contrary to extant findings, only knowledge, environmental, and business factors determined IS integration directly. The authors discuss the implications of these results for IS integration and future research.

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.

Integrating TAM and IS success model: exploring the role of blockchain and AI in predicting learner engagement and performance in e-learning

This study innovatively intertwines technology adoption and e-learning by integrating blockchain and AI, offering a novel perspective on how cutting-edge technologies revolutionize learning processes. The present study investigates the factors that influence the behavioral use of learners to use blockchain and artificial intelligence (AI) in e-learning. The study proposes the integrated model of Technology Acceptance Model (TAM) and Information System (IS) success Model that include perceived usefulness, perceived ease of use, system quality, information quality, and service quality as antecedents to behavioral use of blockchain and AI in e-learning. The model also examines the moderating effect of learner self-efficacy on the relationship between behavioral use and e-learning engagement and performance. The study collected data from 322 respondents and analyzed the data using partial least squares structural equation modeling (PLS-SEM) with a bootstrapping technique. The results show that the factors of TAM model and IS model have the significant and positive effects on behavior to use blockchain and AI in e-learning. Additionally, learner self-efficacy has a significant positive effect on e-learning engagement and performance, but it does not moderate the relationship between behavior to use blockchain or AI and e-learning engagement and performance. Overall, the study provides insights into the factors that influence the adoption of blockchain and AI in e-learning and offers practical implications for educators and policymakers.

Understanding learners' intention toward Metaverse in higher education institutions from a developing country perspective: UTAUT and ISS integrated model

PurposeThe Metaverse is an immersive virtual world where individuals interact with each other using an avatar. The Metaverse is promised to offer several potentials for different sectors. While the Metaverse promotes innovative interaction between individuals (e.g. learners), there is a scarcity of knowledge on what influences its acceptance and use in higher educational institutions (HEIs), particularly in developing countries. Thus, this paper aims to identify the factors that affect the users' intentions toward Metaverse technology for educational purposes in the HEIs in Jordan.Design/methodology/approachA study model was created by incorporating variables from the unified theory of acceptance and use of technology (UTAUT) (performance expectancy, PE; effort expectancy, EE; social influence, SI; and facilitating conditions, FC) and information system success (ISS) model (user satisfaction, SAT; system quality, SQ; service quality, SVQ and information quality, IQ) with perceived curiosity (PC) and hedonic gratification (HG) constructs. Both PC and HG were added as context-related factors that could contribute to improving the applicability of UTAUT and ISS to a wide range of technology use contexts. Data were gathered from 441 Jordanian university students using an online questionnaire.FindingsThe analysis of the structural model revealed that users' behavioural intentions toward using Metaverse were significantly affected by user satisfaction (SAT), performance expectancy (PE), facilitating conditions (FC) and hedonic gratification (HG). Also, information quality (IQ) and services quality (SVQ) were revealed to have a significant influence on user satisfaction. Likewise, the results illustrated a significant impact of systems quality (SQ), information quality (IQ) and service quality (SVQ) on PE. Lastly, a significant effect of PC on the EE factor was found.Practical implicationsThis study will shed light on a number of practical implications for developers, designers, service providers and decision-makers supporting the acceptance and adoption of the Metaverse technology in the educational context. Also, it will contribute to developing the right strategies, and Metaverse content which will draw the attention of learners.Originality/valueAs per the surveyed literature and the researcher's prior knowledge, this is one of the first studies that integrate the UTAUT model, ISS model and two contextual factors (PC and HG) besides testing the proposed model in a developing country (Jordan). This paper is one of the few in which the individuals' acceptance behaviour of Metaverse technology was examined in the HEIs context.