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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.

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.