Turnover-induced knowledge loss in practice

2021 ◽  
Author(s):  
Martin P. Robillard
Keyword(s):  
2019 ◽  
Vol 7 (4) ◽  
pp. 245-255
Author(s):  
Ahmed Abdulla Al Jaberi ◽  
Syed Najmuddin Bin Syed Hassan ◽  
Abd Rahman Bin Ahmad

Purpose of the study: The purpose of this paper is to assess the knowledge sharing and job performance from psycho-social perspectives on Al Ain Municipality in UAE. Methodology: Since this is a conceptual study, so this paper only focuses on the literature survey and logical explanation based on the facts discussed. Results: The results of this study show that loss of knowledge can result in duplication of work, unreasonable searches for expertise and knowledge, and employees not learning from the experienced. Not all knowledge in the organisations is of critical value, and therefore need not be captured and retained, but the critical knowledge that is at risk of loss should be captured. Implications: The awareness of knowledge loss through staff attrition may motivate companies to institutionalise specific processes to capture the tacit knowledge of their employees as much as possible.  It is advisable for firms to have strategies in place on how to capture and retain their workforce’s knowledge. Novelty: This research contributes significantly on the knowledge management from psycho-social perspectives and from the vantage point of United Arab Emirates. Upon the analysis of the data collected, the research may provide recommendations for the policy makers, academicians, practitioners as well as decision-makers and other stakeholders.


Author(s):  
Gregory Huet ◽  
Christopher A. McMahon ◽  
Florence Sellini ◽  
Stephen J. Culley ◽  
Clément Fortin
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdelkader Daghfous ◽  
Abroon Qazi ◽  
M. Sajid Khan

PurposeThe literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.Design/methodology/approachThis paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.FindingsKnowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.Research limitations/implicationsThis paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.Originality/valueThis paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.


Author(s):  
Murray E. Jennex

Knowledge workers hold much of an organization’s knowledge. Unfortunately, these knowledge workers tend to be transient, and when they leave, they take the knowledge inside them. Organizations need to try to capture this knowledge but find it difficult as it is usually too late to capture this knowledge when a worker announces he/she is leaving. This chapter presents a process for assessing each worker for the risk of taking knowledge with them. The purpose of this process is to aid organizations in allocating resources to capturing the most valuable and most accessible of the knowledge potentially being lost in time for it to be captured and retained.


Metaphorically, the energy conservation law that is applied to all physical systems can be transferred to organizations as the dynamic equilibrium of organizational knowledge. The balance equation for organizational knowledge includes knowledge creation, knowledge acquisition, and knowledge loss. Knowledge acquisition means to bring in organization fluxes of knowledge from the external environment, while knowledge loss means to have fluxes of knowledge crossing the interface toward the external environment. The purpose of this chapter is to present the main issues that are related to knowledge acquisition and knowledge loss for organizations. Knowledge loss became a hot issue in the last decade when the wave of baby boomers reached the retirement age. In the United States and in Europe, ageing of workforce, as well as the downsizing strategies during economic crises, generated many problems due to knowledge loss, which leads to a decreasing capacity for business competition.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mukesh Kumar Singh ◽  
Vikas Gupta

Purpose Premature departure of highly skilled and experienced soldiers is detrimental to the excellence of a military organisation. The organisation can achieve knowledge superiority over adversaries, only if it acknowledges the organisation’s critical knowledge and undertakes necessary steps to preserve it. The purpose of this paper is to find out the critical types of knowledge loss in military organisations when a soldier departs. Design/methodology/approach This study uses grounded theory methodology with purposive/theoretical sampling of experts from the Indian Air Force, coding and constant comparative analysis to construct different knowledge categories. ATLAS.ti 8 was used for data coding and analysis. Findings This paper identifies eight types of knowledge categories in a military organisation and specifies the criticality of each category. Research limitation/implication This study has been piloted on a single organisation with a limited number of samples. However, the results can be used in future research on exploring generalisation. This study is unique in providing useful insights into the types of critical knowledge loss in a military organisation. Research infuses theoretical rigour to the knowledge management (KM) literature and provides impetus to study various aspects of KM in a military organisation. Practical implication This study provides the first set of guidelines for the leaders in military organisations to develop a KM strategy for knowledge loss. Research lists specific and actionable areas of knowledge for the commanders to act with considerable savings to exchequer, time and effort. The result could be reasonably generalised for other military setups in the world. Originality/value This paper is highly innovative and would significantly contribute to the under-explored area of KM in military organisations and the KM literature.


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