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This study examines learner satisfaction and success as mechanisms through which online learning quality translates into learners’ continuous intentions of use by extending DeLone and McLean’s information system success model. It also examines the moderating effect of perceived supervisory support and learners’ self-regulation on online learning quality in Higher Education Institutions.

Survey data were obtained from 540 students in both private and public higher institutions of learning in Ghana. The Partial Least Squares – Structural Equations Modelling (PLS-SEM) technique was used to test the hypothesised relationships.

The results revealed that system quality emerged as the single most important variable in the DeLone and McLean model, that influences learner success and satisfaction. Further, learner satisfaction has a significant positive effect on learner attitudes, whilst self-regulation was found to moderate the relationship between online learning quality and learner success as well as learner satisfaction.

The study appears to be among the first to explore the inter-relationship among online learning environment quality and learner attitudes and moderating factors perceived supervisory support and self-regulation. The study highlights insightful practical implications for students, faculty and administrators of higher institutions.

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.

Enterprise resource planning systems (ERPs) have provided new challenges in the management of organizations’ internal and external risks, and their adoption has triggered groundbreaking changes to internal audit practices. This study aims to shed light on the use of ERPs in internal auditing by identifying interrelations between postevaluations of the ERPs’ quality dimensions with internal auditors’ satisfaction, intentions to continue using such systems and perceived benefits.

Drawing on a unique data set of internal auditors’ responses on a structured questionnaire, and by using the DeLone and McLean’s (2003) Information Systems success model as the conceptual framework, this study tests the research propositions by using partial least square structural equation modeling (PLS-SEM).

The findings report statistically significant positive relationships among all three ERPs’ quality dimensions (system, information and service quality) with internal auditors’ satisfaction and intention to continue using these systems. Moreover, the study found that the benefits perceived by internal auditors were significantly influenced by their satisfaction with the system and their intention to continue using it.

The authors survey ERP postevaluation success factors in two unique contexts: internal auditors and Greece. Thus, the authors ground on previous research findings in diverse professional groups and national environments. In parallel, this study lends conceptual clarity and empirical evidence to a small but growing number of studies examining the implications of individuals’ perceptions, intentions and behavioral reactions in the context of ERP implementation.

This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era.

Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used.

The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era.

AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful.

This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.

For undergraduate and graduate students in universities, social media are playing an important role in their study/research because a large amount of academic information has been accumulated on social media. Indeed, social media are complementing university libraries. Given that intelligent recommender systems have been widely implemented on social media, this paper aims to examine the adoption mechanism of intelligently recommended information by university students in their study/research.

Building upon the updated information system success model and herding theory, this study developed a research model to examine the determinants of recommended information adoption in mobile applications for social media. Data were collected through an online questionnaire and analyzed with partial least squares structural equation modelling.

The results suggest that herding belief is a valid second-order construct, comprising two first-order dimensions of imitating others and discounting their own information. Information quality, system quality and service quality directly impact satisfaction with the intelligent recommender system. Furthermore, satisfaction with the intelligent recommender system and herding belief directly impact recommended information adoption by university students in their study/research.

This study draws on the updated information system success model and incorporates herding belief as an extended component to investigate recommended information adoption, providing a new lens for understanding recommended information adoption by university students in their study/research.

This study basically develops an omnichannel integration services (OIS) success model and further uses perceived value and stickiness to measure the actual net benefits. Furthermore, this study explores the role of service recovery in OIS success model.

A quantitative online survey study was mainly being conducted to statistically test these relationships among the customer experience, satisfaction, perceived value, stickiness and service recovery. The statistical data collected from 371 respondents were taken for analysis through partial least squares.

The findings revealed that the online and offline customer experiences have a significant influence on their level of online and offline satisfaction, respectively. Both online and offline satisfaction are major factors which are enhancing the perceived value and stickiness. Service recovery also has a significant effect on online and offline satisfaction.

The results of the hypotheses presented in the OIS success model may usually vary from one cultural context to another. Hence, additional studies should access the current research model, especially those that are culturally different from Taiwan.

The service failures are always inevitable and the recovery of such encounters represent to have a significant challenge for OIS. Thus, practitioners should allocate more such resources to enhance on customer experience of OIS, which in turn promotes to enhance customer satisfaction. Moreover, OIS practitioners seem to be more concerned with a thought on how to avoid service failures and provide satisfied customer experience than developing service recovery strategies.

Although the past studies on multichannel retail have yielded insights into the factors affecting consumers' channel preferences, there is a dearth of research that sheds bright light on the intense factors affect the success of OIS; hence, a conceptual framework of OIS success model, referenced to the model of updated information systems success (ISS), thus is used to act as the basis of this study. Furthermore, this study explores the role of service recovery in OIS success model.

The information systems (IS) literature has indicated the importance of data analytics capabilities (DAC) in improving business performance in organizations. The literature has also highlighted the roles of organizations’ data-related resources in developing their DAC and enhancing their business performance. However, little research has taken resource quality into account when studying DAC for business performance enhancement. Therefore, the purpose of this paper is to understand the impact of resource quality on DAC development for business performance enhancement.

We studied DAC development using the resource-based view and the IS success model based on empirical data collected via 19 semi-structured interviews.

Our findings show that data-related resource (including data, data systems, and data services) quality is vital to the development of DAC and the enhancement of organizations’ business performance. The study uncovers the factors that make up each quality dimension, which is required for developing DAC for business performance enhancement.

Using the resource quality view, this study contributes to the literature by exploring the role of data-related resource quality in DAC development and business performance enhancement.

This study assesses performance measurement (PM) system implementation efforts across various organizational contexts and investigates which factors are critical to achieving implementation success (IS).

An empirical field study was conducted to refine a framework of PM system IS that consists of 5 dimensions of success and 29 factors. A survey questionnaire was used to investigate actual organizational practice and exploratory factor analysis was conducted to refine constructs corresponding to potential factors and dimensions of IS. The resulting variables were then investigated using multiple regression analysis to identify critical success factors for implementing PM systems.

The survey was completed by representatives from 124 organizations and the exploratory factor analysis results indicated that there are three underlying dimensions of IS (i.e. Use of the System, PM System Performance, and Improved Results and Processes) and 12 factors. Of the factors, nine can be considered critical success factors having a significant relationship with at least one dimension of IS: Leader Support, Design and Implementation Approach, Reward System Alignment, Organizational Acceptance, Organizational Culture and Climate, Easy to Define Environment, IT Infrastructure Capabilities, PM System Design Quality, and PM Participation and Training.

The results show that there are distinct dimensions of IS and, although some factors are associated with all dimensions, most are more closely related to only one dimension. This suggests that different strategies should be utilized based on the types of challenges experienced during implementation.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.

The current study examines the factors that affect trust and donation intention in donation-based crowdfunding.

The present study utilized web-based questionnaires to examine the donation intention of Malaysian donors in donation-based crowdfunding, employing the information system success (ISS) framework. The collected data were investigated using partial least square structural equation modeling (PLS-SEM).

The findings of the study indicate that information quality, service quality and system quality have a significant positive effect on trust in donation-based crowdfunding. Additionally, donation intention in donation-based crowdfunding is significantly and positively influenced by information quality, service quality and trust.

The study’s results can be used by donation-based crowdfunding platforms to enhance their information, service and system quality to increase donor trust and intention to donate, including improving the platform’s design, navigation, aesthetics, comprehensibility of content, providing timely customer support and regularly updating and maintaining the system.

By exploring the relationship between information quality, service quality, system quality, trust and donation intention, this study contributes to the existing knowledge on donors’ behavior in crowdfunding.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0291