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This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.

With the rise of the gig economy, management positions are increasingly staffed with flexible labor, so-called interim managers. They plunge into organizations for a limited period, operating in a liminal position as partly insider, partly outsider. Although several contributions to their client organizations are acknowledged, it is unknown how the interim manager’s knowledge from previous assignments is made useful in the new context under these particular working conditions. Therefore, the purpose of this paper is to increase the understanding of how the interim manager’s knowledge is transferred to the client organization while operating from a liminal position.

This paper presents an interview-based multiple case study of six interim assignments where knowledge transfer is considered a social and context-dependent process.

The findings unveil the multifaceted nature of the liminal position, which consists of task orientation, time limitation, political detachment and cultural distance. These facets contribute to knowledge transfer in terms of new shared understandings and joint interests, which in turn might create new practices that augment continuous knowledge-sharing patterns.

The results contribute to the research on flexible work arrangements by shedding light on how the liminal position, predominantly depicted as an obstacle for the individual, might facilitate knowledge transfer. Through the process of knowledge generation, it is shown how a short-term engagement might enable the organization to increase its knowledge over time.

The international business (IB) literature emphasizes knowledge sharing and knowledge hiding as part of the knowledge transfer process. However, limited studies discuss the antecedents of the two practices in the same organization in international assignments. This study aims to explore the knowledge transfer practices of expatriates in emerging economy multinational enterprises (EMNEs) conducting international assignments in developing economies and identify the reasons why expatriates share knowledge and/or hide knowledge in interaction with the local environment.

In-depth, semistructured interviews with Chinese expatriates from a Chinese state-owned multinational enterprise (MNE) operating in three African countries were conducted to obtain their experience of knowledge transfer behaviors in international assignments. Thematic analysis was used to analyze interview data.

The results show that knowledge sharing is more common than knowledge hiding in the overseas operations of EMNEs in developing economies. Cooperation requirements, corporate incentives, company support and the host country environment facilitate knowledge sharing; conversely, competitiveness and company policies are related to expatriate knowledge-hiding behaviors in other emerging economies.

This paper provides the enlightenment of Chinese MNEs on knowledge management in overseas operations in developing economies and reflects the company’s system and practice in knowledge management from the level of expatriates, as well as the role of company practices in choosing knowledge sharing or hiding behaviors.

This study aims to develop a model for coordination and communication overhead in distributed software development through case study analysis in the Indian outsourcing software industry. The model is based on business knowledge, which can be classified as domain, regulatory, strategic, business process and operation process knowledge as per existing literature.

Double case study method was used to verify an existing knowledge–management framework of software development from the literature. The stakeholders of both the cases were interviewed, and project documents were verified to reach conclusions.

The findings supported the business knowledge classification from the literature. The concept can be used to analyze the software project in a distributed environment.

The research work findings are based only on two case studies. The study findings cannot be generalized and should be used as a learning tool. There can be large variations of project characteristics with differences in business knowledge requirements. The research shows the importance of business knowledge transfer in global software development.

Projects managers in the distributed software development environment can use the findings in project planning and work allocation for better control over cost and schedule, etc.

There is little research works attempted to study the business knowledge classification in the global software industry making the research novel.

In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.

This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.

The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.

This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.

Despite the knowledge transfer between projects has received increasing attention from scholars, few scholars still conduct comprehensive research on inter-project knowledge transfer from both horizontal and vertical perspectives. Besides, knowledge transfer is affected by multiple antecedent conditions, and these factors should be combined for analysis. Therefore, this paper aims to explore the key factors influencing knowledge transfer between projects using the fuzzy-set qualitative comparative analysis (fsQCA) method from both horizontal and vertical perspectives and how these factors combine to improve the effectiveness of knowledge transfer (EKT) between projects.

First, nine factors affecting knowledge transfer between projects were identified, which were from the four dimensions of subject, relationship, channel, and context, namely temporary nature (TN), time urgency (TU), transmit willingness (TW), receive willingness (RW), trust (TR), project-project transfer channels (PPC), project-enterprise transfer channels (PEC), organizational atmosphere (OA), and motivation system (MS). Then, the source of the samples was determined and the data from the respondents was collected for analysis. Following the operation steps of the fsQCA method, variable calibration, single condition necessity analysis, and configuration analysis were carried out. After that, the configurations of influencing factors were obtained and the robustness test was conducted.

The results of the fsQCA method show that there are five configurations that can obtain better EKT between projects. Configuration 3 (∼TN * ∼TU * TW * RW * TR * ∼PPC * PEC * MS) has the highest consistency, indicating that it has the highest degree of the explanatory variable subset. Configuration 1 (∼TN * ∼TU * TW * RW * PEC * OA * MS) has the highest coverage, meaning that this configuration can explain most cases. Also, the five configurations were divided into three types: vertical transfer, horizontal-vertical transfer, and channel-free transfer category.

Firstly, this study explores the key factors influencing knowledge transfer between projects from four dimensions, which presents the logical chain of influencing factors more clearly. Then, this study divided the five configurations obtained into three categories according to the transfer direction: vertical, horizontal-vertical, and channel-free transfer, which gives implications to focus on both horizontal knowledge transfer (HKT) and (VKT) when studying knowledge transfer between projects. Lastly, this study helps to realize the exploration of combined improvement strategies for EKT, thereby providing meaningful recommendations for enterprises and project teams to facilitate knowledge transfer between projects.

Given their capacity to generate knowledge, universities can be the primary external source of knowledge and innovation for companies. Despite studies on the potential drivers of open innovation, the actors involved in these projects beyond academics and the most effective practices that universities follow for successful university–industry collaborations remain unclear. This study aims to identify the enablers and best practices universities follow to contribute to successful university–industry open innovation results, providing a conceptual framework for the management of such initiatives.

Articles from peer-reviewed academic journals identified in the Scopus and Web of Science databases were researched in this scoping review. The review used descriptive and thematic analyses and focused on 93 articles published between 2013 and 2023 that analysed universities’ enablers and practices for knowledge transfer to the industry.

Organisational factors, stakeholder attitudes, infrastructure, and external factors facilitate knowledge transfer from universities to companies. The most effective practices for promoting innovation are related to project management, policies and incentives and are relational and educational. Performance results can be evaluated through quantitative and qualitative indicators, measured at the different phases of the innovation process, considering the impacts achieved.

Previous reviews have focused on barriers, researchers’ motivations or specific enablers. The enablers and practices identified were analysed with a systemic vision, considering the university as a unit of analysis. This study suggests a comprehensive conceptual framework for the successful management of university–industry open innovation.

This study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks.

In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms.

The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry.

The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.

This paper aims to study historical intercultural transfer by examining the case of the Mouvement Desjardins, a Quebec, Canada-based cooperative bank founded in 1900 by Alphonse Desjardins. The aim of the cooperative was to support the hitherto marginalized French–Canadian population and to initiate their economic and entrepreneurial activities.

The authors focus on a historical single-case analysis. This conducts them to analyse primary data from letters exchanged between Alphonse Desjardins and European actors, as well as company documents of the Groupe Desjardins.

The intercultural transfer of the cooperative bank model and its implementation in North America as a successful, self-sustaining model is owing to recontextualization and strategic decisions of the social entrepreneur Alphonse Desjardins based on intensive written correspondence with European bank directors who promoted the cooperative system.

This research instigates an impulse to extend our knowledge of intercultural transfer by looking into other historical cases to provide validation or add subtleties to our understanding of intercultural transfer dynamics.

This paper expands the current understanding of intercultural transfer and its powerful influence, namely, how an implemented cooperative bank system can contribute through successful recontextualization to institutional change and societal improvements. It also provides new insights into the creation and growth of social enterprises based on shared values within communities and coordinated strategic intentions across communities.

The goal of this study was to understand the relationships between mentoring roles, career calling, and the transmission of tacit knowledge in the setting of executive development centers. The purpose of this research was to determine if there is a link between mentoring roles and the transmission of tacit knowledge and, if so, to what extent mentoring structure and culture moderate this link.

The study used a quantitative strategy based on partial least squares structural equation modeling (PLS-SEM) to examine information gathered from 287 workers at four executive development centers. Mentoring roles, vocational calling, and the transmission of tacit knowledge were quantified using scales derived from existing research.

Results showed a beneficial association between mentoring roles and vocational interest. Tacit knowledge was more likely to be shared when it was directly related to one’s chosen profession. A person’s vocation mediated the connection between mentoring roles and the transmission of tacit knowledge. Furthermore, the form of mentoring moderated the relationship of mentoring roles and the transfer of tacit knowledge.

This study is novel because it investigates the interplay between mentoring roles, vocational vocation, and the transmission of tacit knowledge in a non-traditional business setting. This research emphasizes the mediating impact of vocation and the moderating effect of mentorship structure in influencing knowledge-sharing practices in Pakistan’s public sector.