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In this study, three models were empirically compared, the DeLone and McLean model, the Seddon model and the Modified Seddon model, by measuring the impact of a business intelligence system (BIS) in companies in Peru. After that, the mediators and dependent constructs were analysed to determine if they were behaving properly (a good level of variance explanation and significant relations with others constructs). The study used a sample of 104 users of the BIS, from companies in several important economic sectors, in a quasi-voluntary context and with six constructs: information quality, system quality, service quality, system dependence (system use), user satisfaction and perceived usefulness (individual impact).

To interpret the results, the authors used structural equations. The idea was to look for the best fit and explanations for the outcomes. The main difference in these models is that the DeLone and McLean model considers system dependence (system use) as a part of information system success, but in the Seddon model, it is a consequence of it.

The Seddon model seems to show the best fit and explanation for the outcomes. After that, a review of the system use construct was realised, because of its limited variance explained and the few significant relations with other constructs, to improve its explanation power in future research.

It is estimated that the sample includes more than 15 per cent of all the companies that use a BISs in Peru, so the size of the sample is adequate, but it is not entirely random and therefore limits the generalizability of outcomes. Besides that, a sample size that is bigger could be better for the sake of making a more detailed analysis, permitting the use of some items with less power, or the use of another statistical procedure for structural equations such as the Asymptotical Distribution Free, permitting a more detailed analysis (Hair et al., 2006).

Business intelligence (BI), one of the most important components of information systems (IS), is playing a very relevant role in business in this time of high competition, high amounts of data and new technology. Currently, companies feel pressured to respond quickly to change and complicated conditions in the market, needing to make the correct tactical, operational and strategic decisions (Chugh and Grandhi, 2013). BI is one of the most important drivers of the decade (Gartner, 2013). Big companies of IS are creating special units specialised in BI, helping companies become more efficient and effective in daily operations.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP).

Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study.

This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant.

Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

This study attempts to gain insight into what factors influence individual behavior towards the adoption of telemedicine application during coronavirus disease 2019 (COVID-19) pandemic. The research model incorporates two well-known theories namely the extended unified theory of acceptance and use of technology (UTAUT2) and DeLone and McLean information success model to examine individual behavior towards the adoption of telemedicine application.

The research design of this study is based on quantitative research approach. During research survey, 350 valid responses were received from Pakistani citizens and examined to understand citizen's behavior towards the adoption of telemedicine applications. The research model was empirically tested with the latest statistical approach namely variance-based structural equation modeling (VB-SEM).

The results of the structural equation modeling have revealed that altogether performance expectancy, social influence, effort expectancy, facilitating condition, habit, hedonic motivation, price values, information quality, system quality and service quality explained 77.9% variance in determining user behavior towards adoption of telemedicine application. The predictive relevance of the research model was found substantial in measuring user behavior to adopt telemedicine applications. The research framework is further extended with moderating role of perceived severity between the relationship of user intention and actual usage behavior. Results confirmed that the positive relationship between intention to adopt telemedicine health application and usage behavior will be stronger when perceived severity is higher.

Theoretically, this study integrates extended UTAUT2 and DeLone and McLean information success model and contributes to e-health literature. Practically, this research suggests that by improving user performance expectancy and effort expectancy, managers and healthcare professionals can boost user confidence towards the adoption of telemedicine applications.

This study is unique as it integrates the extended UTAUT2 with DeLone and McLean information success model and perceived severity to investigate user behavior towards adoption of telemedicine application during COVID-19 pandemic. Additionally, the integration of theories contributes to information system literature in the context of the adoption of telemedicine applications.

Based on previous information systems/educational technology success models, the purpose of this paper is to establish a comprehensive, multidimensional model for assessing blog-based learning systems success.

Data collected from 240 blog-based learning systems users in the context of higher education were tested against the model using the structural equation modelling approach.

The results indicate the interrelationships between six system success variables: system quality, content quality, context and linkage quality, user satisfaction, system use, and learning performance. In particular, this study confirms that quality attributes positively affect user satisfaction, which in turn positively influences learning performance directly or indirectly through the mediation of system use.

This study is a pioneering effort to develop and validate a blog-based learning systems success model.

This study aims to examine the suitability of information systems (IS) success model in the adoption of library 2.0 technologies among undergraduate students in the African context, and focused at the Muhimbili University of Health and Allied Sciences (MUHAS) of Tanzania.

Based on the IS success model, the study re‐specified and validated the IS model to examine adoption of library 2.0 technologies via a structural equation modeling (SEM) approach. The study examined the role of quality (service quality, information quality and system quality) in influencing user perceived net benefits, satisfaction and intention to reuse library 2.0 application. A case study research design was used in this study. Self‐administered questionnaire were distributed to all first year undergraduate students (n=408) at MUHAS, with a rate of return of 71.8%.

The study findings confirm the validity of using the proposed IS model for library 2.0 adoption assessment. The users’ intention to reuse is quite important, and accurately predicts the usage behaviour of library 2.0 services. The perceived net benefits had the strongest effect on users’ intention to reuse library 2.0 systems than any other determinants within the model. Among the three quality‐related constructs, service quality had the strongest total effect on perceived net benefits and intention to reuse. Compared to system quality, information quality had the largest effect on user satisfaction. It is thus important for librarians to consider all these factors for effective adoption of library 2.0 projects in research and academic institutions.

This is the first comprehensive study focusing on the health sciences library patron's usage behaviour of library 2.0 applications in Tanzania, and reveals findings that are useful for planning and implementing library 2.0 initiatives in other institutions with similar conditions.

There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry.

A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach.

The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry.

The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance.

To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

The paper discusses the assessment of enterprise information systems (EIS) success in an organizational context is one area that is not sufficiently researched. This lack of theoretical attention prompted the authors to measure EIS success in the organizational setting of Jordanian listed firms.

Based on the DeLone and McLean success model and by adopting a quantitative approach, survey data were collected through questionnaires. The established questionnaires were distributed to 250 senior IT executives who use EIS and a total of 134 valid questionnaires were empirically tested via the Smart-PLS technique.

The investigation findings indicate that information and system quality had a positive impact on user satisfaction and individual impact. User satisfaction had a positive influence on individual impact, both of which eventually lead to organizational impact. The results also showed that the model used has adequate convergent and discriminant validities, as well as sufficient reliability.

The outcomes can help managers and practitioners more effectively understand the factors influencing EIS success among Jordanian listed firms.

This research paper is the very first in assessing EIS success from an organizational perspective in developing country such as Jordan.

The purpose of this paper is to examine employees’ personal performance after mobile customer relationship management (m-CRM) use based on an updated model of information system (IS) success. The authors also investigate whether personal performance of employees varies according to the period of m-CRM use.

Bootstrapping is employed to analyze data collected from a survey of firms using m-CRM. The survey targeted executives and staff members in departments related to the development and application of m-CRM systems.

The results indicate that some of the factors had no significant effect on employees’ personal performance through employee satisfaction and system use as mediators. Overall, however, the three types of quality had significant effects on employees’ personal performance through employee satisfaction and system use.

The study provides a number of strategies that managers or executives might deploy within organizations to improve employees’ personal performance through the implementation of m-CRM systems. It is of paramount importance for managers or executives to develop m-CRM systems that provide high-quality information and service including sufficient customer-based analysis, up-to-date customer information, barrier-free design and personalized service.

It is the first study to empirically test the role of m-CRM characteristics in predicting employees’ personal performance. This study will not only add contribution to the DeLone and McLean’s theory, but also contribute to the IS literature in IS success. The findings will also provide useful insights for guiding managers or executives in formulating and executing effective strategies to enhance the level of m-CRM use and employee satisfaction which in turn promote personal performance.