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The aim of this paper is to investigate contextual information that has an impact on the process of selection and decision making in recommender systems (RSs) in digital libraries.

Using a grounded theory method of qualitative research, semi‐structured interviews were carried out with 22 information specialists, and IT and computer engineering students and professors. Data resulting from interviews were analysed in two stages using open coding, followed by axial and selective coding.

The central idea (concept) developed in this study, named scientific research ground (SRG), is an information ground users step into with scholarly purposes. Within SRG they start interacting with information systems. SRG has contexts which situate users in a range of situations while interacting with information systems. Users' characteristics such as purpose, activity, literacy, mental state, expectations, and assumptions, occupational and social status are some contexts that should be taken into account for making a recommendation.

This study sought to explore contextual information in the academic community and the academic contextual information cannot be generalized to RSs in other environments such as e‐commerce.

Identifying and implementing contextual information in information systems can help make better recommendations as well as improve interaction between users and information systems.

Based on the SRG idea and its contexts, a multi‐layer contextual model for a recommender system is proposed.

It is crucial to identify the factors that affect corporate resilience to compare a company with others and assess its competitiveness. This study aims to examine the effect of using information technology (IT) on corporate resilience in the face of tension-causing factors within companies listed on the Tehran Stock Exchange (TSE).

The statistical population of this study includes all the companies listed on the TSE during 2013–2022. A total of 196 companies were selected as the final research sample. The panel data is used to test the research hypotheses using Stata 14.

The results demonstrate that tension-causing factors within the company have a negative effect on corporate resilience. Moreover, the results indicate that investment in software positively affects the relationship between company tension-causing factors and corporate resilience. Furthermore, the results show that investment in hardware positively affects the relationship between tension-causing factors within companies and corporate resilience.

This study creates a bridge between research on IT, corporate resilience and tension-causing factors within companies. To the best of the authors’ knowledge, this is the first study to investigate the effect of IT on corporate resilience in the face of tension-causing factors within companies in Iran, particularly in the TSE, thereby contributing to the existing literature in this area.