Interpretive structural modeling of

Haghighi Boroujeni, Payam; Tavallaei, Ruhollah

Interpretive structural modeling of "organizational knowledge map development"

Document Type : Original Research Paper

Authors

¹ PhD in Systems Management, Tehran University, Tehran, Iran

² Corresponding Author:Associate Professor, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran

Abstract

Knowledge map, as one of the most vital tools and approaches of knowledge management, plays a significant role in the correct establishment of related processes. Also, compiling the knowledge map in a short and appropriate period of time solves the challenge of implementing knowledge management in the organization and provides tangible and easily achievable outputs, which provides the necessary motivation to continue the time-consuming process. It will provide knowledge management. Due to the high importance of the knowledge map, the native standard model for implementation in Iranian organizations has not been presented. Based on this, in the upcoming research, the research team, with the aim of presenting a local model of organizational knowledge map development, has used a comprehensive and detailed study in the field of knowledge map subject literature based on the use of systematic review technique, and while extracting various components and dimensions of knowledge map, He combined the experience of implementing this approach in more than 20 Iranian organizations and finally based on the Interpretive Structural Modeling (ISM) method and using Smart PLS software and holding interview sessions and completing the matrix with 5 academic and business experts specializing in The field of knowledge management develops a suitable model for Iranian organizations to explain and design the organizational knowledge map. In this obtained model, the main components affecting the process of explaining the organizational knowledge map have been classified and separated in the form of 18 final components and 7 distinct levels.

Keywords

20.1001.1.26454262.1401.5.4.1.1

Main Subjects

Knowledge Map

References

APQC. (2015). APQC’s Process-based Knowledge Map

APQC. (2018). Adapting knowledge mapping templates to your needs

Balaid, A., Zibarzani, M., & Rozan, M. Z. A. (2012). A Comprehensive Review of Knowledge Mapping echniques. Journal of Information Systems Research and Innovation, 3(1), 71–76.

Da Silva Filho, E. S., Viana, D., Rabelo, J., & Conte, T. (2016). Knowledge Mapping in a research and development group: A pilot study. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, 1(October), 306–317.

Driessen, S., Huijsen, W. O., & Grootveld, M. (2007). A framework for evaluating knowledge-mapping tools. Journal of Knowledge Management, 11(2), 109–117.

Ebener, S., Khan, A., Shademani, R., Compernolle, L., Beltran, M., Lansang, M. A., & Lippmana, M. (2016). Knowledge mapping as a technique to support knowledge translation. Bulletin of the World Health Organization, 84(8), 636–642.

Eppler, M. J., (2001). Making knowledge visible through intranet knowledge maps: concepts, elements, cases. In System Sciences, Proceedings of the 34th Annual Hawaii International Conference. IEEE, p. 189-205.

Hakim, S. Al., & Sensuse, D. I. (2018). Knowledge Mapping System Implementation in Knowledge Management: A Systematic Literature Review”. Proceedings of 2018 International Conference on Information Management and Technology, ICIMTech 2018, September, 131–136.

Ho, V. W., Harris, P. G., Kumar, R. K., & Velan, G. M. (2018). Knowledge maps: a tool for online assessment with automated feedback. Medical Education Online, 23(1), 1-7.

Jafari, Mostafa and Akhavan, Peyman and Bourouni, Atieh and Roozbeh, Hesam, A Framework for the Selection of Knowledge Mapping Techniques (2009). Journal of Knowledge Management Practice, Vol. 10, No. 1- 1-8.

Kudryavtsev, D., Gavrilova, T., Grinberg. (2022). Map of the Maps: Conceptualization of the Knowledge Maps BIR) 2022( Workshops and Doctoral Consortium, 21st International Conference on Perspectives in Business September 20-23, 2022, Rostock, Germany, 14-23.

Liu, R., Chen, B., Guo, X., Dai, Y., Chen, M., Qiu, Z., & He, X. (2019). From Knowledge Map to Mind Map: Artificial Imagination. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR, June, 496–501.

Lutters, W. G., Ackerman, M. S., Boster, J., McDonald, D. W., Science, C., & Technology, I. (2000). Mapping Knowledge Networks in Organizations: Creating a Knowledge Mapping Instrument. Information Systems, 2014-2018.

Menaouer, B., & Nada, M. (2020). The relationship between knowledge mapping and the open innovation process: The case of education system. AI EDAM, 34(1), 17-29.

Menaouer, B., Baghdad, A., & Matta, N. (2013). Knowledge Mapping Evolution Guided by Data Mining. International Journal of Computer Applications, 71(1), 32–39.

Mitchell, S. M., and Seaman, C. B. )2011(. A knowledge mapping technique for project-level knowledge flow analysis. In Empirical Software Engineering and Measurement (ESEM). International Symposium on, IEEE, 347-350.

Okada, A., & Media, K. (2008). Mapping Knowledge to Develop Academic Research in Collaborative. Knowledge Creation Diffusion Utilization, 516-523.

Sanchez, T. W., & Afzalan, N. (2017). Mapping the knowledge domain of urban planning. Planning Knowledge and Research, July, 69–84.

Shadmanfar, M. H., Alipoor, M. H., & Makvandi, F. (2022). Extracting the pattern of inhibitors and facilitators of knowledge sharing. Scientific Journal of Strategic Management of Organizational Knowledge, 5(3).

Sensuse, D. I., & Hakim, S. Al. (2019). Building Smart Knowledge Mapping Conceptual Model. Journal of Information and Knowledge Management, 18(2), 1–17.

Vega-Riveros, J. F., Marciales-Vivas, G. P., and Martinez-Melo, M. (1998) Concept Maps in Engineering Education: A Case Study. Journal of Engineering Education, Vol. 2, No. 1, 1998

Watthananon, J., & Mingkhwan, A. (2012). Optimizing knowledge management using knowledge map. Procedia Engineering, 32, 1169–1177.

Yun, G.C., Lu, S. and Sexton, M. (2009). Knowledge mapping: A contingency approach. In:Proceedings of the Joint International Symposium of CIB Working Commissions:Dubrovnik, Croatia. 368-376.