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This study aims to identify and theorize the conditions affecting the formation of librarians’ knowledge-hiding behaviour in academic libraries.

This study is a qualitative research based on the grounded theory approach. The data collection method involved in-depth, semi-structured interviews. The data was analysed using the MAXQDA software in three stages: open, axial and selective coding. The study included 22 faculty members and experienced librarians from academic libraries. The participants were selected using a combination of targeted and snowball sampling techniques.

The study yielded 96 open codes, 24 axial codes and 18 selective general codes related to the axial category of knowledge hiding (KH). The librarians’ KH axial coding paradigm pattern was developed in an academic library setting. The study also highlighted some general consequences of KH in academic libraries, such as lobbying and creating knowledge rents, deterioration of organizational relationships and interactions, reducing the competitive advantage of academic libraries and hindering individual and organizational learning.

This study has made a valuable contribution to the identification and explanation of the factors that affect KH. In addition, it has filled a research gap within the library and information science (LIS) field. The findings of the study may offer managers new strategies for addressing the occurrence of KH in academic libraries, and they also add to the existing literature on knowledge management in LIS.

The purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning.

In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software.

Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development.

This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.

The purpose of the present study was to design an axial coding pattern for customer knowledge management (CKM) to identify the conditions affecting it from the perspective of experts in public university libraries.

The current study used a qualitative approach. To collect and analyze data, the grounded theory method with a three-stage strategy of open, axial and selective coding was employed. The research instrument was a semi-structured in-depth interview and the data were categorized using MAXQDA 10 software. The sample of the study consisted of 26 experts from Iranian public universities who were selected through a combined targeted non-random sampling procedure (targeted and snowball). The necessary data were obtained through specialized interviews with 9 faculty members and 17 managers of public university libraries.

In the present study, 106 open coding, 35 axial concepts, and 16 selective general categories were identified as the conditions affecting CKM development in academic libraries in the form of causal conditions, intervening conditions, strategies conditions, context conditions, and consequences conditions around the core layer of CKM development. The identification of these conditions led to the development of a paradigmatic pattern for the research.

There is no record of research on developing empirical studies in libraries using an analysis of the conditions affecting CKM development in the form of an axial coding pattern. The present research contributed to closing this research gap. The axial coding pattern proposed in this study can serve as a guide for implementing CKM in academic libraries as well as increasing customer loyalty.