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This paper aims to understand how a special library helped firefighters in Illinois navigate the digital revolution by evidencing the elements and forms of work that made its innovative services possible.

The authors examine the history of a special library through a community informatics lens, drawing from sociomaterial perspectives to highlight forms of work often invisible in digital innovation. Data was collected through documentary revision, oral histories and semi-structured interviews. Deductive-inductive coding and constant comparative analysis was used in the analysis.

A historical narrative of the library between 1990 and 2021 highlights three sociotechnical innovations that assisted firefighters through the digital revolution: the facilitated collection, the co-created collection and the inside-out library. To develop these innovations the library drew from institutional relations, personal relations, grants, labor, knowledge of firefighters and technology. Various forms of articulation work brought these elements together to create innovative services.

The role of special libraries in addressing the digital divide has not been sufficiently detailed so far; this paper is a contribution in that direction. It also has practical value for professionals working in specialized libraries and information centers.

To address requirements and specifications of construction project, academics need to build a project classification model. In recent years, project success concept, particularly on large-scale construction projects, has been a controversial issue, especially in developing countries. Hence, in this paper, after introducing a sustainable success index (SSI), a novel method called “rough set approach” had been adopted to induce decision rules and to classify construction projects. The paper aims to discuss these issues.

At first, 20 effective success factors and 15 success criteria based on three pillars of sustainability of economy, society and environment had been categorized. The research data used for analysis had been collected from 26 large-scale construction projects in Iran and five other countries. After collecting data collection, observations had been analyzed and 51 decision rules were generated, and the projects were classified. Eventually, in order to evaluate the performance of the generated rules, confusion matrix was applied, and the model was validated.

The results of the present study show that rough set theory (RST) can be an effective and valuable tool for building expert systems. Practical applications of these results along with limitations and future research are described.

Perhaps for the first time, in the present study, a number of large-scale construction projects are classified based on SSI. Applying RST for building rule-based system and classifying projects in construction project area are novel attempts undertaken in this paper. The rules induced in this study can be applied to develop a sustainable success prediction model in the future studies.