The Gradual Design Model of the Process of Influencing the Acquisition of Organizational Knowledge by Experts Using Semantic Mapping Analysis on Organizational Knowledge Management (Case Study of Tehran National Library)

Document Type : Original Article

Authors

• Maryam Tahery ¹
• Soraya Ziaei ²

¹ PhD student, Department of Knowledge and Information Science, Payam Noor University, Iran

² Associate Professor, Department of Knowledge and Information Science, Payam Noor University, Iran

10.22067/infosci.2024.82468.1161

Abstract

Introduction: In the present study, the acquisition of organizational knowledge from experts necessitates the implementation of an organizational knowledge management system, which should be introduced gradually within an organization. To achieve this, a fundamental strategy is essential for the organization's survival. This article employs a model designed for the progressive acquisition of expert knowledge through the analysis of semantic mapping, aiming to enhance organizational knowledge management. In the contemporary world, knowledge is recognized as one of the most critical competitive factors for organizations. Organizations that can manage their knowledge more effectively will have a competitive advantage over others. Acquiring knowledge from experts is a crucial aspect of knowledge management, as experts possess valuable insights and experience that can contribute to improving organizational performance. However, acquiring knowledge from experts also presents certain challenges. One of the primary difficulties is that experts often lack the time and patience to actively engage in the knowledge acquisition process. Essentially, the objective is to identify gradual patterns of knowledge within a localized model for acquiring organizational expertise. These patterns can assist organizations in managing expert knowledge more effectively and leveraging it to enhance their overall performance.
Methodology: This study is applied and descriptive in nature, utilizing a qualitative research approach. Qualitative analysis was employed to address the experts' responses. Data collection tools included unstructured interviews and structured questionnaires. The responses to narrative questions were coded, and the collected data were analyzed to ensure reliability in the research findings. A snowball sampling method was used to select participants from the research community, including experts and social networks, resulting in a sample of 26 expert members from the National Library of Iran. In summary, both interview and questionnaire methods were utilized for data collection. Interviews were conducted with experts from the National Library of Iran, while questionnaires were distributed to gather information from other members of the organization. The data obtained from these sources were analyzed using both qualitative and quantitative analysis methods.
Findings: In this research, an applied and descriptive qualitative method was used. Qualitative analysis was used to answer the experts' questions. The research population was selected through snowball sampling from among experts and social networks, 26 expert members of the National Library of Iran were selected and examined. The data collection tool was through unstructured interviews and structured questionnaires. The questionnaires were expressed by coding the answers to the narrative questions, and in order to obtain the reliability of the research, the results were obtained from the responses that the community members gave to the data and becomes part of the organizational culture.
The research findings revealed that the gradual patterns of knowledge acquisition in the localized model for acquiring organizational experts' knowledge consist of four stages:

Acquaintance Stage: Experts become familiar with the knowledge acquisition model and develop the necessary motivation to participate.
Participation Stage: Experts actively engage in the knowledge acquisition process and share their expertise with others.
Sharing Stage: The knowledge obtained through expert participation becomes accessible to other members of the organization.
Institutionalization Stage: The acquired knowledge is embedded within the organization, becoming an integral part of its culture.

Discussion and conclusion: To analyze the semantic mapping derived from experts' knowledge management experiences—based on interviews, case studies, and laddering components for knowledge acquisition—Pazhek software was utilized to design social networks through the research’s designed pattern matrix for the localized model. Additionally, Infograph software and the designed model matrix were employed to evaluate and analyze the semantic mapping.
Sharing Stage: In this stage, the knowledge acquired through expert participation is made accessible to other members of the organization. This is achieved through various methods such as documentation, database creation, and other knowledge-sharing mechanisms.
Institutionalization Stage: In this stage, knowledge becomes embedded within the organization and integrates into its culture. This is facilitated through methods such as employee training, fostering motivation to utilize knowledge, and other organizational development strategies.
The localized model of knowledge acquisition offers the following advantages:

Adaptability to Organizational Needs: Designed to align with the specific requirements of Iranian organizations, this model exhibits a high degree of adaptability.
Implementation Capability: Developed in accordance with real organizational conditions, this model is highly feasible for practical implementation.

Keywords

• Knowledge acquisition design model
• semantic mapping analysis
• knowledge management

Main Subjects

• Knowledge Management

---

References

Anagnostakis, D., Ritchie, J., Lim, T., Sivanathan, A., Dewar, R., Sung, R., Bosché, F., & Carozza, L. (2016). Knowledge capture in cmm inspection planning: Barriers and challenges. Procedia CIRP, 52, 216-221. https://doi.org/10.1016/j.procir.2016.07.045

Bavakhani, A. (2016). The effect of intellectual capital on knowledge management in knowledge-based organizations (case study: The atomic energy organization of iran). Library and Information Science Research, 6(2), 24-40. https://doi.org/10.22067/riis.v6i2.50426 (In Persian)

Dong, M., Zeng, X., Koehl, L., & Zhang, J. (2020). An interactive knowledge-based recommender system for fashion product design in the big data environment. Information Sciences, 540, 469-488. https://doi.org/10.1016/j.ins.2020.05.094

Ghaffari, S., Ghaseminezhad, F., & Zakiani, S. (2021). Investigating the relationship between time management and staff training in kerman public libraries. Library and Information Science Research, 11(2), 250-267. https://doi.org/10.22067/infosci.2021.24244.0 (In Persian)

Kafashan, M., Parirokh, M., Fattahi, R., & Rahimnia, F. (2015). Theoretical and conceptual adaptability-testing of universities’ strategic alignment with their organizational culture strategy and knowledge management system strategies in academic libraries. Library and Information Science Research, 5(1), 255-279. https://doi.org/10.22067/riis.v5i1.28772 (In Persian)

Kügler, P., Dworschak, F., Schleich, B., & Wartzack, S. (2023). The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021. Advanced Engineering Informatics, 55, 101892. https://doi.org/10.1016/j.aei.2023.101892

Ping, X., Yanchinda, J., & Areeprayolkij, W. (2020). Creating knowledge model for handicrafts promotion in chiang mai by using semantic annotation. 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON),

Single, J. I., Schmidt, J., & Denecke, J. (2020). Knowledge acquisition from chemical accident databases using an ontology-based method and natural language processing. Safety Science, 129, 104747. https://doi.org/10.1016/j.ssci.2020.104747

Tabe Jamaat, S., Ahmadi, H., & Barmayehvar, B. (2023). Evaluation the maturity level of knowledge management in kayson construction company with the importance-performance approach. Library and Information Science Research, 13(1), 5-23. https://doi.org/10.22067/infosci.2022.78208.1130 2251-6344

Tavallaei, R., Haghighi Boroujeni, P., & Ahmadi, M. M. (2018). Designing a native methodology for experts’ organizational knowledge acquisition using semantic cognitive maps. Public Administration Perspective, 9(4), 63-88. https://jpap.sbu.ac.ir/article_96412_aaea2e4c203cc30d81c9adf39df704b8.pdf (In Persian)

Zhai, Q., Rahardjo, H., Satyanaga, A., Zhu, Y., Dai, G., & Zhao, X. (2021). Estimation of wetting hydraulic conductivity function for unsaturated sandy soil. Engineering Geology, 285, 106034. https://doi.org/10.1016/j.enggeo.2021.106034