Knowledge Loss: Causes, consequences, measurement and solutions

Document Type : Original Article

Authors

1 PhD Candidate, Department of Knowledge and Information Science, Shiraz University, Shiraz, Iran.

2 Associate Professor, Department of Knowledge and Information Science, Shiraz University, Shiraz, Iran.

10.22067/infosci.2023.82347.1158

Abstract

Purpose: When employees leave a company or organization, they take all their knowledge with them, and if there is no plan to preserve that knowledge before the employee leaves, the organization will face knowledge loss. This is when a company or organization no longer has access to the knowledge previously had. Today's organizations face the serious challenge of employee knowledge loss, which is often undocumented and requires a lot of time to regain through training and experience. Therefore, the present research was conducted to identify and familiarize with the reasons, consequences, methods of measurement and strategies to prevent or reduce the knowledge loss.

Method: Since no study has been done in Persian texts in this field, the present study analyzed the papers related to the topic of knowledge loss and extracted and discussed the categories considered in the purpose of the research.

Findings: Knowledge loss is closely related to work flow and aging and consequently retirement. Its consequences sometimes lead to irreparable risks or lead to heavy costs. Evaluating and calculating this risk in order to prevent it is one of the important measures in the field of knowledge management and risk management; therefore, based on the conducted studies, methods have been proposed to measure the amount of knowledge loss, which are: the network approach and the use of social network analysis, a graphic approach and the use of information or knowledge mapping, an engineering approach, the approach of creating a risk map to identify knowledge forces and try to preserve their knowledge, and finally, checking the level of job sensitivity and predicting time for evaluation. Despite the risks of knowledge loss; if correct preventive strategies are used, suitable opportunities for knowledge retention can be created. Building the institutional repositories, identifying key employees, different methods of documentation, establishing a knowledge management system are among these strategies.

Conclusion: In discussing the knowledge loss, the value that employees create in each field and the conditions that arise after they leave the organization become important. The present study, by identifying the causes and consequences of knowledge loss and methods of evaluating and calculating this organizational threat, along with introducing preventive strategies that focus on knowledge preservation, created a general perspective on the issue of knowledge loss that can inform organizations about it.

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Main Subjects


Aggestam, L., Söderström, E., & Persson, A. (2010). Seven types of knowledge loss in the knowledge capture process. In 18th European Conference on Information Systems, ECIS 2010, Pretoria, South Africa, June 7-9, 2010. Retrieved on 30/09/2023 from https://www.researchgate.net/publication/221407181_Seven_Types_of_Knowledge_Loss_in_the_Knowledge_Capture_Process
Daghfous, A., Belkhodja, O., & C. Angell, L. (2013). Understanding and managing knowledge loss. Journal of knowledge management, 17(5), 639-660. Retrieved on 30/09/2023 from https://www.emerald.com/insight/content/doi/10.1108/JKM-12-2012-0394/full/html
Frank, F. D., Finnegan, R. P., & Taylor, C. R. (2004). The race for talent: Retaining and engaging workers in the 21st century. Human resource planning, 27 (3), 12-25. Retrieved on https://www.proquest.com/docview/224568480?sourcetype=Trade%20Journals
Ferenhof, H. A., Durst, S., & Selig, P. M. (2016). Knowledge Waste & Knowledge Loss-What is it All About? Navus-Revista de Gestão e Tecnologia, 6(4), 38-57. DOI:10.22279/navus.2016.v6n4.p38-57.404
Gotthart, B., & Haghi, G. (2009). How Hewlett-Packard minimises knowledge loss. International Journal of Human Resources Development and Management, 9(2-3), 305-311. DOI:10.1504/IJHRDM.2009.023459
Huet, G., McMahon, C.A., Sellini, F., Culley, S.J., Fortin, C. (2007). Knowledge Loss in Design Reviews. In: Tichkiewitch, S., Tollenaere, M., Ray, P. (eds) Advances in Integrated Design and Manufacturing in Mechanical Engineering II. Springer, Dordrecht. Retrieved on 30/09/2023 from https://link.springer.com/book/10.1007/978-1-4020-6761-7
Izquierdo-Cortazar, D., Robles, G., Ortega, F., & Gonzalez-Barahona, J. M. (2009). Using software archaeology to measure knowledge loss in software projects due to developer turnover. In 2009 42nd Hawaii International Conference on System Sciences, Waikoloa, HI, USA, 2009, pp. 1-10. Retrieved on 30/09/2023 from  https://ieeexplore.ieee.org/document/4755634
Iran, P. k. m. o. Assessement of knowledge loss risk: Cooperation between knowledge management and risk management. Retrieved on 30/09/2023 from http://prokm.ir/ [In Persian]
Ahmadi, A., Jafari Eskandari, M., Oliaei Motlagh, S. Y. (2014). Strategic planning of human resources focusing on the age composition of the workforce based on the dynamic balanced scorecard. Tomarrow Management, 35(12), 1-10. Retrieved on 30/09/2023 from https://www.noormags.ir [In Persian]
Jennex, M. E., & Durcikova, A. (2013). Assessing Knowledge loss risk. In 2013 46th Hawaii International Conference on System Sciences, Wailea, HI, USA, 2013, pp. 3478-3487. Retrieved on 30/09/2023 from https://ieeexplore.ieee.org/abstract/document/6480264
Joe, C., Yoong, P., & Patel, K. (2013). Knowledge loss when older experts leave knowledge-intensive organisations. Journal of Knowledge Management, 17 (6), 913-927. https://www.emerald.com/insight/content/doi/10.1108/JKM-04-2013-0137/full/htmlhttps://doi.org/10.1108/JKM-04-2013-0137
Lin, T.-C., Chang, C. L.-H., & Tsai, W.-C. (2016). The influences of knowledge loss and knowledge retention mechanisms on the absorptive capacity and performance of a MIS department. Management Decision, 54 (7), 1757-1787.https://www.emerald.com/insight/content/doi/10.1108/MD-02-2016-0117/full/html
Massingham, P. (2008). Measuring the impact of knowledge loss: more than ripples on a pond? Management learning, 39 (5), 541-560. https://doi.org/10.1177/1350507608096040
Massingham, P. R. (2018). Measuring the impact of knowledge loss: a longitudinal study. Journal of knowledge management, 22 (4), 721-758.https://www.emerald.com/insight/content/doi/10.1108/JKM-08-2016-0338/full/html
Parise, S., Cross, R., & Davenport, T. H. (2006). Strategies for preventing a knowledge-loss crisis. MIT sloan management review. Retrieved on 30/09/2023 from https://sloanreview.mit.edu/article/strategies-for-preventing-a-knowledgeloss-crisis/
Rashid, M., Clarke, P. M., & O’Connor, R. V. (2019). A systematic examination of knowledge loss in open source software projects. International Journal of Information Management, 46, 104-123. https://www.sciencedirect.com/science/article/abs/pii/S0268401217310095?via%3Dihub
Yarovenko, H., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Methodology for assessing the risk associated with information and knowledge loss management. Journal of Business Economics and Management, 22 (2), 369-387. https://journals.vilniustech.lt/index.php/JBEM/article/view/13925
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