Inter-project knowledge transfer in project-based organizations: an organizational context perspective

Xu, Ruibo; Yan, Zi Qi; Wang, Zhaojing; He, Jingwen

doi:10.1108/md-11-2018-1211

Cited by 44 publications

(38 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Literature Reviewmentioning

confidence: 99%

“…Existing research also explored the factors affecting knowledge transfer from the perspective of the relationship between the transfer subjects. Relevant factors include trust (Minbaeva, 2007), similarity (Ren et al, 2020), geographical distance (Ren et al, 2018) and so forth. Sun et al (2019) proposed that among the elements of the relationship dimension, trust is the most important factor, because it is the basis of any interpersonal relationship or interorganizational relationship.…”

Section: Literature Review 21 Knowledge Transfer Factors In Organizat...mentioning

confidence: 99%

See 1 more Smart Citation

System dynamics approach of knowledge transfer from projects to the project-based organization

Zhou

Deng

Hwang

et al. 2022

IJMPB

View full text Add to dashboard Cite

PurposeAlthough knowledge transfer in the context of projects and project-based organizations (PBOs) has gained increasing attention from academia and industry, it is not clear how knowledge transfers from projects to their parent PBOs. This research aims to explore the main factors influencing knowledge transfer from projects to their parent PBOs, and analyze how these factors integrate the transfer process as system components using the system dynamics (SD) method.Design/methodology/approachBased on the literature review, investigation and interview, this paper adopts the event analysis to obtain the influencing factors from historical cases and establishes a conceptual model of knowledge transfer from five dimensions, which simultaneously considers the knowledge sender, knowledge receiver and the relationship between the knowledge sender and receiver, knowledge features and transfer context. Then, the relationships between variables in the qualitative model were clarified, and a quantitative model including seven feedback loops was established using the SD model. Lastly, the system simulation and sensitivity analysis of the main parameters were realized in Vensim PLE software.FindingsThe simulation analysis results show that the model can simulate the knowledge transfer process from projects to the PBO to a certain extent. This research fully demonstrates the impact of variables from five dimensions on knowledge transfer and incorporates the knowledge gap and transfer threshold in the research category. Moreover, the rationality of seven feedback loops proposed in the model was verified. And the effects of various factors on the amount of knowledge transferred and the PBO's knowledge stock were examined through sensitivity analysis. Furthermore, recommendations for developing an integrated knowledge transfer mechanism of PBOs and projects to enhance transfer effect are offered.Research limitations/implicationsThis research provides other researchers with a systematic understanding of transfer process from projects to PBOs, and insight for further research on knowledge transfer in project and organization contexts. Furthermore, this study guides researchers to focus on the causal processes that constitute knowledge transfer and explores the expected and unexpected phenomena generated over time. However, some variables involved in the transfer process are simplified, and the establishment of a more complex dynamic model needs further research and discussion.Practical implicationsBy establishing a simulation model for knowledge transfer from projects to their parent PBOs, this study helps project teams and PBOs grasp the overall picture of the transfer process. Especially, this paper provides target-oriented recommendations for project and PBO managers to implement effective knowledge transfer practices, which have certain practical values for knowledge cultivation, coordination, reuse and innovation in the organization.Originality/valueThis study contributes to knowledge management and project management literature by simulating the knowledge transfer process from projects to their parent PBOs. Additionally, this paper provides a reference for PBO and project managers to establish an integrated knowledge-transfer mechanism in the work process and comprehensively implement effective knowledge transfer practices.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Review 21 Knowledge Transfer Factors In Organizat...mentioning

confidence: 99%

System dynamics approach of knowledge transfer from projects to the project-based organization

Zhou

Deng

Hwang

et al. 2022

IJMPB

View full text Add to dashboard Cite

show abstract

“…X. Ren et al [13] showed that the organizational context (meeting system, reward system and shared culture) and project characteristics (similarity and urgency) are previously affecting social relations (communication, trust and reciprocity) between project teams, and their social relations further influence the effectiveness of interproject knowledge transfer. The influencing factors were widely represented in J.T.…”

Section: Related Workmentioning

confidence: 99%

Model for Assessing the Level of Knowledge Convergence in Multinational Projects

Sharovara¹,

Dorosh²,

Trunova³

et al. 2022

IJC

View full text Add to dashboard Cite

In modern conditions, knowledge management acquires a new meaning and becomes one of the decisive factors for success in the project implementation. Knowledge transfer is significantly complicated in international projects. This requires an in-depth analysis of different participants` project management systems, identifying their differences and determining the ability to converge (convergence) through knowledge transfer. The paper proposes the model for assessing the convergence level of project management systems, which includes a fuzzy assessment of the factors influencing the ability of the system to transfer knowledge, as well as assessing the rate of convergence (approximation) in projects. The results of the study shows that the proposed methods allow identifying “bottlenecks” of knowledge transfer processes in multinational projects and determining a strategy to increase the level of knowledge systems convergence at the project initial stage. Evaluation of the accuracy and reliability of the proposed methods prove the adequacy of their applications for forecasting new project convergence level.

show abstract

“…Its essence consists in self-reproduction of knowledge (Zhang, Li, Aziz-alaoui, Bertelle, Guan, Zou, 2016, p. 2). Compared to transfer, the process is closely related to the social context (Vlajcic, Marzi, Caputo, Dabic, 2019, p. 196)it requires mutual interaction between its participants (Ren, Yan, Wang, He, 2019), it is conditioned by the characteristics of knowledge in the form of its viscosity and ambiguity (Klarl, 2014, p. 2), more strongly associated with silent knowledge and strongly dependent on the organisational culture of the enterprise (Paliszkiewicz, Svanadze, Jikia, 2017, p. 37). Therefore, knowledge diffusion takes into account the positive effects of its transfer, along with its conditions and context.…”

Section: Importance Of Knowledge Transfer and Diversity Of Contemporamentioning

confidence: 99%

“…Among others, from this point of view, the role of knowledge transfer increases even more (Secundo, Toma, Schiuma, Passiante, 2019), especially that it is both recognised as basic and necessary to succeed in the field of its management in organisations (Gou, Li, Lyu, Lyu, 2019) and gains particular importance in the context of diversity of employees and the circumstances of their work (Ren, Yan, Wang, He, 2019). A need arises to propose solutions concerning the shaping of optimal conditions for its implementation, both universal ones and some dedicated to specific groups of stakeholders.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Transfer Versus Good Society of the Second La Belle Epoque

Pietruszka-Ortyl

2020

znadministracja

View full text Add to dashboard Cite

Currently, we are witnessing the second la belle epoque characterised by huge economic and social inequalities. Striving for a good state of society aims to reduce the inequalities conditioned by access to knowledge. One of the methods to reach this goal can consist of the conscious shaping of knowledge transfer between particular groups of knowledge agents. representing diverse, often overlapping, social and organisational categories. The purpose of this study is to check what sub-processes of knowledge transfer are implemented in specific groups of knowledge agents and what their context is from the perspective of the tools used, the main principles and the standards of behaviour. The main research hypothesis is that the course of knowledge transfer process depends on the fact of which groups of knowledge agents it concerns. Using the method of critical analysis and surveys supported by in-depth interviews, it was determined that knowledge sharing is the domain of professionals and the intergenerational dimension of knowledge transfer. Knowledge acquisition is most often carried out at the level of specialists' relations with other employees and at the intergenerational level. Knowledge sharing is a domain of specialists, and usually takes place during their contacts with other employees, while knowledge dissemination is the prime sub-process of the hierarchical dimension of knowledge transfer.

show abstract

Inter-project knowledge transfer in project-based organizations: an organizational context perspective

Cited by 44 publications

References 68 publications

System dynamics approach of knowledge transfer from projects to the project-based organization

System dynamics approach of knowledge transfer from projects to the project-based organization

Model for Assessing the Level of Knowledge Convergence in Multinational Projects

Knowledge Transfer Versus Good Society of the Second La Belle Epoque

Contact Info

Product

Resources

About