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The purpose of this study is to execute the application of confirmatory factor analysis in structural equation modeling, to investigate the reliability and validity of the proposed integrated digital library user success (IDLUS) scale in academic digital library computing information system in the area of information management and systems.

The study analyzed 355 valid responses (MPhil and PhD) from the largest and oldest public sector university in Pakistan. Sample selection was calculated through a stratified random sampling technique from the four faculties of the University of the Punjab. The instrument was constructed based on the available two digital library and information system success models. The first model is Jung’s (1997) digital library user success model that is further composed of flow model (1977), end user computing satisfaction model (1987) and Joshi’s overall user satisfaction model (1990). Similarly, the second model is DeLone and McLean’s reformulated information system success (2003) theory. The question items used a five-point Likert scale and executed regression weights, standardized regression weights, convergent validity, variance extracted, construct reliability and discriminant validity to infer results.

Findings show that the IDLUS scale has excellent validity and reliability estimates.

The study has theoretical implications for researchers and practical implications for information system developers.

To the best of the authors’ knowledge, this scale is the first-ever effort to measure the digital library user success in the context of Higher Education Commission-National Digital Library of Pakistan. Therefore, there was a dire need to conduct the psychometric analysis of the scale to examine the model fit statistics on the current sample in the particular cultural norms. Scale is based upon human factors taken from various Web success and information system success models from the fields of human–computer interaction information systems and computer-mediated communication.

Despite the major information technology investments made by public institutions, the reuse of e-government services remains an issue as citizens hesitate to use e-government websites regularly. The purpose of this study is to investigate the cross-country determinants of e-government reuse intention by proposing a theoretical model that integrates constructs from (1) the Delone and McLean IS success model (i.e. system quality, service quality, information quality, perceived value and user satisfaction); (2) the trust and risk models (i.e. citizen trust, overall risk, time risk, privacy risk and psychological risks); and (3) Hofstede's cultural model (i.e. uncertainty avoidance, masculinity, individualism and cross-cultural trust and risk).

Based on data from interviews with 81 Kuwaiti citizens and surveys of 1,829 Kuwaiti and Polish citizens, this study conducted comprehensive, cross-cultural and comparative analyses of e-government reuse intention in a cross-country setting.

The results show that trust is positively associated with citizens' intention to reuse e-government services, whereas risk is negatively associated with citizens' perceived value. This study also found that masculinity–femininity and uncertainty avoidance are positively associated with the intention to reuse e-government services and that individualism–collectivism has no significant relationship with reuse intention. This study's findings have important implications for researchers and practitioners seeking to understand and improve e-government success in cross-country settings.

This study developed a parsimonious model of quality, trust, risk, culture and technology reuse that captures country-specific cultural contexts and enables us to conduct a comprehensive, cross-cultural and comparative analysis of e-government reuse intention in the cross-country setting of Kuwait and Poland.

Most of the previous studies agree about the significance of user satisfaction in ensuring the endurance of information systems (ISs). Accordingly, it is crucial to investigate the effect of e-Government systems on individual end-user satisfaction as more and more countries adopt and deploy such Government Financial Management Information Systems (GFMIS) in the era of digital transformation. Because of this, the purpose of this study is to investigate the factors that contribute to the success of GFMIS in Jordan and ultimately the satisfaction of its users.

The IS success model developed by DeLone and McLean (2003) serves as the theoretical underpinning for the current research. Adding training quality as a new variable to the proposed model has been found to further increase the satisfaction of GFMIS users. A total of 104 GFMIS users in Jordan provided the data used to verify the model. The partial least squares-structural equation modelling was used to test the hypotheses.

The empirical findings indicated that GFMIS user satisfaction is significantly affected by information quality, service quality and perceived usefulness; meanwhile, system quality is only partially supported. The research also showed that the level of satisfaction among Jordanian GFMIS users was related to the quality of training they received.

This study fills a crucial literature gap by developing a research model that can help improve GFMIS usage towards attaining greater performance amongst government agencies in Jordan.

DeLone and McLean (D&M) has been amongst the most widely used models to assess the success elements of information systems (IS) since 1992. A decade later in 2003, D&M proposed a revised design that included several components which have been left out of original proposed model. This study aims to rely on the review of a number of papers casing the era 2011–2022 that satisfies a specific set of requirements to identify the research gaps in this area and to prepare a future research agenda.

This study is a systematic review: a technique that identifies and evaluates pertinent research. This gathers and analyses data from selected studies with objective to catalogue all empirical research studies, which responds to a certain study topic or hypothesis to meets predetermined inclusion criteria. Data collection method was divided into four stages, and selection details are determined through flow chart.

This research discovered D&M 2003 model use in many contexts, countries and cultures to better comprehend the topic and addresses its gaps, particularly with regard to public sector and its particularities. Publications have frequently emphasized the significance of this idea while studying public sector information systems by using associated variables-related items. Findings also include a summary of key components and dimensions used in reviewed studies in relation to each of the seven variables, and associated particularities in government sector over the world.

To the best of the authors’ knowledge, this is the first ever effort in this developing country in discipline of Information Management to execute such kind of study to review D&M ISS model in detail at this stage to evaluate nonacademic public sector information systems around the world.

The 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).

A 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).

This 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.

The 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.

This study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.

The 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.

A 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.

The 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.

This 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.

As 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.

Food delivery apps (FDAs) have rapidly developed due to mobile technologies, changes in modern consumption and increased online use during the COVID-19 pandemic. Despite this, the platforms are struggling to build a stable customer base and make a profit. This study combined tech-driven motivators in an information system success model (ISSM) and emotional attachment operated by affect transfer theory (ATT) to explain why people might continue to use an FDA.

An online quantitative cross-sectional survey was carried out via the Prolific platform. Data were collected from 416 FDA users and analyzed to test the hypotheses using the partial least squares based structural equation modeling.

The study found that system quality, information quality and emotional attachment directly influence the continued use of FDA. Moreover, the results suggest that perceived social interactivity and perceived playfulness are significant antecedents of emotional attachment.

The findings of this study enrich the current literature on continuance intention in online food delivery services by integrating the technology- and affective-based factors. The findings also provide various practical implications for app designers and marketers to foster an emotional bond with users, resulting in high retention rate.

The study proposes the integrated framework of ISSM and ATT for enhancing understanding of consumer behaviors in the post-adoption stage for FDA.

This study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models.

Questionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software.

The empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM.

This study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.

The purpose of this study is to examine the effect of extrinsic aspects of the technology acceptance model, namely, information quality, functionality, accessibility, user interface design, system quality, functionality, facilitating conditions and computer playfulness as well as intrinsic aspects, namely, perceived self-efficacy, enjoyment and learning goals. orientation on perceived usefulness and perceived ease of use in the context of the learning management system (LMS) as a system to support employee learning and development. This study also analyzes the effect of perceived ease of use on perceived usefulness and analyzes the effect of these two variables on the intention to adopt a LMS. This study included 3,205 respondents who are employees of banking companies in Indonesia and who used the LMS for their learning and self-development needs during the COVID-19 pandemic.

This research is a quantitative study that uses online surveys to collect data and partial least squares statistical tools to analyze survey data.

The results showed that accessibility alone had no effect on perceived usefulness and perceived ease of use, while enjoyment had no effect on the intention to use LMS and perceived ease of use and functionality had no effect on the intention to use LMS.

This research focuses on the concept of technology acceptance with extrinsic and intrinsic aspects. This research context involves employees working in the banking sector with the adoption of the LMS.

LMS in banking companies can be optimized by providing online training and reducing the operational costs of employee training. By using LMS, companies can offer online courses to employees and track progress in distance learning, become a learning choice and information dissemination during the pandemic and also support future business continuity.

This study focuses on testing the technology adoption model on LMSs in the banking sector by adding extrinsic aspects, namely, system quality, facilitating conditioning, computer playfulness and user interface design, and combining intrinsic aspects, namely, perceived self-efficacy, enjoyment and learning goal orientation.

With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age.

A mixed method, including the qualitative and quantitative study, was utilized to explore answers of the research questions. As the qualitative study, the authors used semi-structured interviews and data coding to uncover the influencing factors. As the quantitative study, the authors collected data through questionnaires and tested hypotheses using structural equation modeling.

The results of data analysis from interviews and questionnaires suggested that perceived anthropomorphism and virtual identity of elderly users have a positive impact on their perceived ease of use, and the perceived intelligence of elderly users positively influences their perceived ease of use, satisfaction and perceived usefulness. Additionally, the elderly's cognition age can moderate the effects of perceived usefulness and satisfaction on their usage intention of FAICS.

This study contributes to the literature by taking the elderly group as the research participants and combining those influencing factors with technology acceptance model and information systems success model. The findings provide a basis for accelerating the promotion of FAICS and help address the problem that the elderly have difficulty adapting to a new technology.