Dynamics Of Knowledge Transfer Research Articles

Unlocking knowledge transfer dynamics across borders: key drivers in international strategic alliances

Purpose In today’s swiftly evolving and intensely competitive business landscape, organisations increasingly recognise the significance of cross-border collaborative partnerships. International Strategic Alliances (ISAs) have emerged as effective platforms to foster innovation and gain a competitive advantage. Within the context of the hotel industry, which epitomises international operations, this study aims to investigate the pivotal role of knowledge transfer (KT) in the performance of ISAs. Design/methodology/approach The research framework draws on the influence of technological drivers (TD), organisational drivers (OD) and individual drivers (ID) on successful KT within ISAs. By analysing data from managers and owners of international hotel businesses using Confirmatory Factor Analysis (CFA), this study empirically examines the relationships between these drivers and KT dynamics. Findings Findings highlight the direct impact of these drivers on KT and subsequent alliance performance. However, among these drivers, factors related to TDs, such as Web 2.0, knowledge management systems and IT infrastructure, generally received the highest values. Originality/value This study contributes to international business and knowledge management and sheds light on the intricate interactions between the drivers of KT and ISAs. The insights derived from this study provide a foundation for enhancing strategic alliance practices in a global context. By embracing KT mechanisms, organisations can harness collaborative potential, drive innovation and achieve sustainable growth.

Reshaping Knowledge Flow: The Impact of Ecollaboration Platforms in It-Project Knowledge Transfer

This research embarks on an in-depth exploration of the transformative dynamics initiated by eCollaboration platforms in the field of IT project management, with a particular focus on knowledge transfer processes. The study delves into the intricacies of knowledge transfer, encompassing both its intra-project dynamics and its transfer from projects to project-based organisations (PBOs). The overall aim is to unravel the impact of eCollaboration platforms on this complex process and to provide insights into the evolving landscape of knowledge management in the context of IT projects. Methodologically, the study adopts a qualitative content analysis approach. Recognising the paradigmatic aspects that might limit insights for proponents of the quantitative paradigm, the chosen approach facilitates an in-depth exploration of the multifaceted nature of knowledge transfer within IT project management. The study involves a cohort of eleven project managers in Austria, with meticulous interviews conducted and recorded to ensure a comprehensive data collection process. The subsequent data analysis involves a systematic evaluation of the accumulated information derived from these expert interviews. This comprehensive analysis integrates both quantitative and qualitative components, providing a nuanced understanding of how eCollaboration platforms influence knowledge transfer within the complex landscape of IT projects. The research findings provide valuable insights into the evolving dynamics of knowledge transfer in the context of IT project management. By examining the impact of eCollaboration platforms on this process, the study contributes to a deeper understanding of the challenges and opportunities that arise in the area of knowledge management in IT projects. These findings have practical implications for project managers and organisations seeking to optimise knowledge transfer processes within their projects and project-based organisations. Ultimately, this research serves as a timely exploration of the transformative potential of eCollaboration platforms to reshape the flow of knowledge within IT project management. It paves the way for improved collaboration and knowledge sharing in the digital age and offers a critical perspective on the evolving landscape of IT project management practices.

Automatic deep sparse clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning

Clustering data effectively remains a significant challenge in machine learning, particularly when the optimal number of clusters is unknown. Traditional deep clustering methods often struggle with balancing local and global search, leading to premature convergence and inefficiency. To address these issues, we introduce ADSC-DPE-RT (Automatic Deep Sparse Clustering with a Dynamic Population-based Evolutionary Algorithm using Reinforcement Learning and Transfer Learning), a novel deep clustering approach. ADSC-DPE-RT builds on Multi-Trial Vector-based Differential Evolution (MTDE), an algorithm that integrates sparse auto-encoding and manifold learning to enable automatic clustering without prior knowledge of cluster count. However, MTDE's fixed population size can lead to either prolonged computation or premature convergence. Our approach introduces a dynamic population generation technique guided by Reinforcement Learning (RL) and Markov Decision Process (MDP) principles. This allows for flexible adjustment of population size, preventing premature convergence and reducing computation time. Additionally, we incorporate Generative Adversarial Networks (GANs) to facilitate dynamic knowledge transfer between MTDE strategies, enhancing diversity and accelerating convergence towards the global optimum. This is the first work to address the dynamic population issue in deep clustering through RL, combined with Transfer Learning to optimize evolutionary algorithms. Our results demonstrate significant improvements in clustering performance, positioning ADSC-DPE-RT as a competitive alternative to state-of-the-art deep clustering methods.

Agent-based modelling of individual absorptive capacity for effective knowledge transfer

The importance of knowledge for organizational success is widely recognized, leading managers to leverage knowledge actively. Within knowledge transfer, the Absorptive Capacity (ACAP) of Knowledge Recipients (KR) emerges as an unresolved barrier. ACAP is the dynamic capability to absorb knowledge and surpass the aggregation of individual ACAP within an organization. However, more research is needed on individual-level ACAP and its implications for bridging the gap between individual and organizational knowledge transfer. To address this gap, this study employs Agent-Based Modeling (ABM) as a simulation method to replicate individual ACAP within an organization, facilitating the examination of knowledge transfer dynamics. ABM allows for the detailed analysis of interactions between individual KRs and the organizational environment, revealing how uninterrupted time and other factors influence knowledge absorption. The implications of the study are that ABM provides specific insights into how individual ACAP affects organizational learning and performance, emphasizing the importance of uninterrupted time for KR to achieve optimal knowledge exploitation and highlighting the need for organizational practices and policies that foster environments conducive to knowledge absorption.

Toward an Integrated Framework of Knowledge Transfer: When Non-Profit Organizations Become International

Existing literature lacks an in-depth exploration of Non-Profit Organizations (NPOs) studying transnational religious rituals and scripture dissemination, leaving a notable research gap. The study integrated the SECI model with an institutional distance framework to create a new path analysis, this research aims to reveal interorganizational knowledge transfer dynamics within such religious groups, focusing on Tiandi Teachings (TT) in Taiwan and its Branches of the Japan Diocese (BJD). Employing extended case methodology with participant observation and semi-structured interviews, the study analyzed data using grounded theory and NVivo 12 software. It identified insights into knowledge transfer processes within international religious organizations, elucidating mechanisms for establishing local legitimacy and transferring religious knowledge across borders. This research contributes to understanding how religious organizations globalize, enriches institutional theory, and underscores the importance of integrating institutional concepts with knowledge transfer models. Its findings offer practical benefits to religious leaders, policymakers, and academics.

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

How does product innovation affect the performance of university-industry collaboration A dynamic knowledge transfer perspective

Constrained evolutionary optimization based on dynamic knowledge transfer

While utilizing evolutionary algorithms (EAs) to solve constrained optimization problems (COPs), seeking feasible solutions that satisfy the constraints is the primary concern. In some cases, utilizing the knowledge of the objective may facilitate the exploration of feasible regions and the exploitation of global optima. To strike a balance between objective and constraints, we attempt to address two problems, namely whether transferring the knowledge of objective in the early evolutionary stage and how to dynamically transfer the knowledge of objective to constraints. First, whether transferring in the early stage is determined by the characteristics of the objective, which has been classified to simple and complex based on the variation of population distribution. Second, how to transfer is solved by designing suitable constraint handling techniques (CHTs). To deal with COPs with simple objective, an objective-oriented CHT is proposed, where an indicator called Knowledge Transfer Rate (KTR) representing the relationship between the objective and constraints is mined and used. For COPs with complex objective, a constraint-oriented CHT is proposed, which includes a constraint-driven strategy and a hybrid-driven strategy. The proposed method is executed on three benchmark test suites, namely IEEE CEC2006, CEC2010, and CEC2017, it achieves superior or at least competitive performance in comparison with other state-of-the-art methods. Furthermore, the proposed method is successfully implemented in a redundant robotic manipulator motion planning problem.

Research on the knowledge transfer mechanism of digital platform in the digital innovation ecosystem: an improved model of SIR embedded in symbiosis theory

PurposeIn 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.Design/methodology/approachThis 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.FindingsThe 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.Originality/valueThis 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.

Families' Experiences in the Virtual Hanen More Than Words Program During the COVID-19 Pandemic.

The COVID-19 pandemic required most pediatric rehabilitation programs to shift to a virtual delivery format without the benefits of evidence to support this transition. Our study explored families' experiences participating virtually in More Than Words, a program for parents of autistic children, with the goal of generating new evidence to inform both virtual service delivery and program development. Twenty-one families who recently completed a virtual More Than Words program participated in a semistructured interview. The interviews were transcribed and analyzed in NVivo using a top-down deductive approach that referenced a modified Dynamic Knowledge Transfer Capacity model. Six themes capturing families' experiences with different components of virtual service delivery were identified: (a) experiences participating from home, (b) accessing the More Than Words program, (c) delivery methods and program materials, (d) the speech-language pathologist-caregiver relationship, (e) new skills learned, and (f) virtual program engagement. Most participants had a positive experience in the virtual program. Suggested areas for improvement included the time and length of intervention sessions and increasing social connections with other families. Practice considerations related to the importance of childcare during group sessions and having another adult to support the videorecording of parent-child interactions. Clinical implications include suggestions for how clinicians can create a positive virtual experience for families. https://doi.org/10.23641/asha.22177601.

Subsidiary closures and relocations in the multinational enterprise: Reinstating cooperation in subsidiaries to enable knowledge transfer

Subsidiary closures and relocations, a process whereby a multinational enterprise (MNE) closes down a subsidiary and relocates its activities, are commonplace and increasing. Yet we lack an understanding of how knowledge in such situations can be successfully transferred to prevent loss and provide for future knowledge recombination in the MNE. Compared to periods of normal operation, knowledge sharing during subsidiary relocations is likely compromised by diminished sender motivation. In a detailed case study of a subsidiary closure and relocation, we find that the announcement of a subsidiary closure can lead to a break in cooperative behavior that inhibits knowledge transfer. It is therefore critical to reinstate cooperative behavior among subsidiary employees. Reinstatement can be achieved through a set of subsidiary leadership practices that affect the emotions of employees and subsidiary identity. This finding contributes to our understanding of knowledge transfer dynamics in MNEs during subsidiary relocations and closures, extends theory on the practices of subsidiary leadership in subsidiary death and adds to our understanding of identity in MNEs.

What Drives? What Restrains? Hidden Dynamics of Knowledge Transfer from Buddhist Male Managers to Female Trainees

Knowledge is power; if so, what hidden dynamics interplay during the employee training process between Buddhist male managers and their female subordinates who would potentially be future peers? Using a phenomenological enquiry, we explored hidden forces driving and restraining effective knowledge transfer and managers’ underlying beliefs, attitudes, prejudices, and motives. The findings revealed the societal and individual prejudices towards women as the restraining forces, while Buddhist ideologies and values as the driving forces of knowledge transfer. The results can be interpreted at individual, national, and organizational levels, thus leading to a new conceptualization of knowledge transfer practices in similar religious and ideological contexts. The underlying contradictions between Buddhist beliefs and societal prejudices thwarted knowledge transfer effectiveness. These findings guide practitioners to innovate practical training to initiate a paradigm shift to eliminate the harmful effect of societal ideologies and gender prejudices and integrate Buddhist values’ driving forces into knowledge transfer practices. We concluded that religious doctrines play a vital role in knowledge transfer practices, attitudes, values, and workplace behaviour in native Buddhist societies; however, future research would enhance the generalizability of the findings in similar religious contexts specific to South Asian countries.

A Network Approach to Stress: Brokerage and Knowledge Transfer in the Frontline Against COVID-19

Work stress permeates contemporary organizations. However, its network underpinnings are still largely unexplored. In this paper, we introduce a network approach to stress, arguing that stress can be seen as a relational phenomenon with important consequences for organizational coordination and knowledge circulation in organizations. In a longitudinal study of medical professionals working in a frontline hospital during the COVID-19 pandemic, we drew on theory on the constraints and opportunities associated with brokerage between cliques, or Simmelian brokerage, to show that individuals spanning otherwise unconnected cliques are more exposed to stress increase over time, although stress increase is lower for individuals who engage in mediation brokerage behavior, i.e. for people who act as intermediaries between disconnected parties. Simmelian brokerage, in turn, influences ease of knowledge transfer over time; and stress change mediates the relationship between Simmelian brokerage and ease of knowledge transfer dynamics. For those Simmelian brokers, increase in ease of knowledge transfer to coworkers is explained by stress increase.

An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning

The Sphere project stands at the intersection of the humanities and information sciences. The project aims to better understand the evolution of knowledge in the early modern period by studying a collection of 359 textbook editions published between 1472 and 1650 which were used to teach geocentric cosmology and astronomy at European universities. The relatively large size of the corpus at hand presents a challenge for traditional historical approaches, but provides a great opportunity to explore such a large collection of historical data using computational approaches. In this paper, we present a review of the different computational approaches, used in this project over the period of the last three years, that led to a better understanding of the dynamics of knowledge transfer and transformation in the early modern period.

IT, Social Capital and the Digital Ecosystem: A New Approach to Online Content Co-Creation

In this paper, we explore how the dynamics of knowledge transfer within a community depends on social capital and how the synergies generated by social capital can positively impact the co-ordination between member-nodes. This could lead to the evolution of a more complex and multi functional ICT enabled socio-technical system capable of enhanced co-creation of knowledge. In this context, we present the Digital Ecosystem (DE) concept as a prototype for a sustainable knowledge synthesizing network. A Digital ecosystem describes an ICT enabled network that displays associative and autopieotic properties. In other words, not only is a so defined network capable of self sustenance, but also of expansion through heightened inclusion (i.e., increasing heterogeneity in the network composition) and growth (i.e., increase in the size and scope of the network). In simple terms, a DE is a web of interconnected and interdependent ICT enabled users who transact in the digital mode resulting in synergistic benefits for all. The strength of this system is that it enables a resilient, multi-user exchange relationship capable of adjusting to change. The sustenance of a DE depends on co-operation between member-nodes of the network. This closely rejects the social capital embedded in community relationships. We then look at the evolution of norms and extended social ties within a DE and the effect on content co-creation. Finally, we outline the case of the DEAL (Digital ecosystem for Agriculture and Livelihood) project as an illustration of the digital ecosystem model outlined in the paper, in terms of its projected content creation, validation and sharing systems.

The Dynamics of Governance and Sustainable Development Goals in the Global South

AbstractThis special issue on ‘The Dynamics of Governance and Sustainable Development Goals in the Global South’, with a focus on the ‘Asian Models of Governance’, aims to fill the gap by contributing to expanding and advancing the transnational knowledge transfer literature by bringing new cases from the Global South. It also hopes to further advance the discussions translating some aspects of Asian experiences of governance in developing an outcome‐driven knowledge and policy transfer model for SDGs. The articles in this issue of Global Policy were selected from papers first presented at the London School of Economics – IDEAS and Nanyang Technological University – Nanyang Centre for Public Administration (LSE‐IDEAS and NTU‐NCPA) Joint Workshop on the Dynamics of Knowledge Transfer and Governance in the Global South, held at the London School of Economics in November 2019.

Knowledge Transfer in the Global South: Reusing or Creating Knowledge in China’s Special Economic Zones in Ethiopia and Cambodia?

AbstractChinese special economic zones (SEZs) have played a key role in attracting massive foreign investment and in facilitating knowledge and technology transfer to local companies. This explains the mushrooming of Chinese‐led SEZs and industrial parks in parts of Southeast Asia and Africa since the early 2000s, and more recently its prominence in the planning of the economic corridors along the Belt and Road Initiative. Our interest in SEZs derives from the fact that they provide novel grounds to investigate the dynamics of knowledge transfer (KT) in South–South exchanges and the extent to which it diverges from more traditional exchanges. This study undertakes a comparative analysis of KT in the Eastern Industrial Zone (EIZ) in Ethiopia, and the Sihanoukville Special Economic Zone (SSEZ) in Cambodia. The case studies suggest that, although the provision of training by Chinese investors has added value to the labour force, its transformative impact is limited owing to the concentration on explicit KT modalities at lower skills levels and the top–down approach to KT by Chinese companies. These limitations are largely a function of the wide absorptive capacity gap between China and the host countries studied and the absence of more conducive industrial policies.

Exploring self-determined urban Indigenous adult education in an Indigenous organization

ABSTRACT Urban Indigenous communities in Canada are sites of dynamic knowledge transfer among Indigenous people who build community together both from within similar cultural frameworks and across difference. These “inter-national” urban Indigenous communities face distinct challenges and opportunities for implementing Indigenous knowledge transfer processes. This article examines the mechanisms through which knowledge transfer occurs at the Ontario Federation of Indigenous Friendship Centres, a large urban Indigenous organization in Toronto, Ontario. The researchers used interviews and focus groups to explore strategies for knowledge transfer among Elders, Knowledge Keepers, leaders, and staff. We argue that urban Indigenous communities transfer knowledge through processes that are sensitized to the diverse inter-national nature of these environments while at the same time oriented toward achieving the continuity of a common knowledge base. Thinking about these processes and their underlying goals through an educational lens helps broaden understandings of where Indigenous education occurs to include professional workplaces.

Innovation Research on Symbiotic Relationship of Organization’s Tacit Knowledge Transfer Network

The sustainable development of organizations is inseparable from innovation, and tacit knowledge is the core resource used to achieve organizational innovation. Due to the implicitness of tacit knowledge and the complexity of members’ relationships, symbiotic relationships between members have dramatically affected the transfer effect of tacit knowledge. However, previous studies on tacit knowledge transfer only focus on the characteristics of the subject or object; fewer consider the role of symbiotic relationships between knowledge subjects. An organization’s tacit knowledge transfer network (OTKTN) is a dynamic knowledge transfer network established among multiple members. Tacit knowledge transfer and sharing among network members conform to the symbiotic feature. To examine various relationships between members, and to investigate the mechanisms that impact tacit knowledge transfer, this article aims to analyze the symbiotic relationships in OTKTN based on the symbiotic perspective. The Lotka–Volterra model was used to construct symbiotic evolution model, and symbiotic coefficients were constructed from the four levels: knowledge-based psychological personal ownership (KPPO) of the knowledge provider, media richness, trust of the knowledge receiver, and organizational rewards matching, to discuss symbiotic modes. Finally, numerical simulation software was applied to simulate the evolution of knowledge levels in members. The results show that the four kinds of symbiotic modes between members include independence, commensalism, asymmetric mutualism, and symmetric mutualism. Symmetric mutualism is the best mode. In this mode, maximum level in independence mode affects the final stable knowledge level; the initial knowledge amount and natural growth rate both affect knowledge growth rate. Media richness, receiver’s trust, and organizational rewards matching can increase members’ tacit knowledge, but the knowledge provider’s KPPO inhibits members’ tacit knowledge growth. This article provides guidance to form a healthy symbiotic relationship and help organizations increase tacit knowledge.

Psychometric Properties of the Thai Mental Health Literacy Scale in Sixth-Year Medical Students

Objective: To assess the psychometric properties of the Thai Mental Health Literacy Scale (TMHLS) in sixth-year medical students.Materials and Methods: By using the purposive sampling method, we enrolled 202 participants in this study. Descriptive statistics were used to analyze demographic data. The index of item-objective congruence (IOC) was used to verify content validity. Exploratory factor analysis (EFA) was performed to establish the construct validity of the TMHLS. The internal consistency was estimated by computing Cronbach’s coefficient alpha.Results: The TMHLS had good content validity (IOC=.85) and construct validity. The EFA resulted in five factors, which included 32 of the 35 items and accounted for 46.86% of the variance. The factors were the ability to recognize mental disorders; confidentiality of mental health practitioners; skills of mental health information seeking; beliefs about mental illnesses; and attitudes toward patients with mental illness. The reliability coefficient of the TMHLS total test was .851, and reliability coefficient in subdomains were range from .197 to .872. Individuals who had a mental health professional as an intimate contact and individuals who had a history of seeking help from mental health professional(s) in person showed significantly higher mental health literacy than those who did not.Conclusions: The TMHLS has good psychometric properties. Dynamic knowledge transfer and exchange with a close mental health professional should be applied to promote mental health literacy in medical students.