Knowledge Transfer Process Research Articles

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.

Factors affecting the effectiveness of the knowledge transfer process at institutions

Factors affecting the effectiveness of the knowledge transfer process at institutions

Strategic Planning as a Determinant of Business Unit Success at AMGPM Ranting Sion Jemaat Poka

The aim of implementing this community service activity is to provide an understanding of the importance ofstrategic planningfor the success of adaptive and sustainable business unitsThe Youth of the Maluku Protestant Church (AMGPM) Zion Branch, Tiberias I, Poka Congregation. Presenting Gen Z who are in the AMGPM Zion Branch, Tiberias I, Poka Congregation, this activity is expected to be the answer to the lack ofeducation related to strategic planning, seeing more than 34% who failed to run a business. This activity is in the form of socialization on topics raised according to the theme "Creating an Adaptive Generation Z in the Digital Era”, specifically onstrategic planning. The average satisfaction of this activity is very good with the number of presentations very satisfied and satisfied at 96.6%. Thus, this activity is expected to be an initial collaboration for the implementation of the knowledge transfer process why the younger generation.

Cipher key instructions in early modern Europe: analysis and text edition

We present an overview of instructions for the use of European historical cipher keys in early modern times. We describe the structure of instructions and the content presented to the key users. We exemplify various key instruction types and give a text edition of typical examples in various languages. The study is based on the analysis of more than 1,600 cipher keys collected from archives and libraries in ten European countries. We examine the practical implementation of cipher keys to the extent that instructions offer insights into everyday cryptographic practices. We focus on the typical rules scribes were expected to adhere to and the common errors they were instructed to avoid. We aim to reconstruct the apprehensions and considerations of the authors of cipher keys: They sought to offer assistance to users while likely harboring concerns regarding the potential misuse of their intellectual product. Given the secretive nature of cryptology, the documentation of knowledge transfer is scarce. In addition to the detailed manuals authored by well-known cryptologists, anonymous cipher key instructions offer valuable insights into this knowledge transfer process. By studying these instructions, historians gain direct access to a realm of knowledge that would otherwise remain hidden from their view.

Proposed Knowledge Transfer Key Factors Model in Malaysian Higher Education Institutions

Knowledge transfer entails not only the transmission of information, but also the transmission of experience, best practises, and learning. This combination, known as tacit knowledge, is well recognised as being extremely difficult to articulate and record, but it is invaluable in adding depth and context to information to provide a richer understanding. As a result, ensuring an effective knowledge transfer process necessitates significant dimensions such as human capital skills and values, knowledge type, knowledge transfer methods, and organisational support. The purpose of this study was to identify the factors that influence the implementation of knowledge transfer projects in Malaysian higher education institutions. Based on the comprehensive literature review and pilot study findings, the study identified Higher Institutions of Education (HIE) Capacity, Academia Capability, Graduate Interns Capability, KT Partner Organization, Relational Elements, Technology Augmentation, External Factor, and Knowledge Transfer Mechanism as the primary factors influencing KT project performance. Aside from that, the study suggests that the Knowledge Transfer Mechanism and government policy play a mediating role in the proposed model.

Utilization of the Guidebook to Prevent Anemia in the Anemia Alert Genre Group

BPCA (Guidebook for Preventing Anemia) in an effort to prevent anemia is one of the innovative health education activities which aims to add knowledge and create a positive attitude towards preventing anemia. The aim of the research is to determine the effectiveness of BPCA in increasing knowledge and attitudes towards anemia in adolescents in the North Singkawang I Community Health Center area. Method research is a quantitative research design quasi-experimental pre & post test with control group. The sample in this study consisted of 40 respondents. Sampling in used purposive sampling. The data taken is in the form of Identity and Knowledge and Attitude data in efforts to prevent Anemia using Questionnaire Instruments. This increase in Knowledge and attitudes is due to the fact that during the research, teenagers received information on an incentive basis assisted by media in the form of a Guidebook to Prevent Anemia to make it easier for teenagers to understand and absorb information. Anemia is a condition that causes stunting in teenagers. In its implementation, the learning process does not just provide one-way information, but involves teenagers as an audience to interact with questions and answers and discuss. The role of Health Workers is needed as a Companion in the Knowledge Transfer Process.

FINANCING INNOVATION: THE ROLE OF FUNDING IN THE EFFICACY OF UNIVERSITY TECHNOLOGY TRANSFER ENTITIES

This study explores the evolving role of universities in the modern economy, focusing on their transformation from traditional centers of education and research to dynamic hubs of entrepreneurship and technology transfer. Drawing from Schumpeter's theory of entrepreneurship, which emphasizes the critical role of innovation and the entrepreneur in catalysing economic change, this paper argues that contemporary universities have adopted a third mission of economic development, complementing their foundational roles in teaching and research. The paper introduces the concept of the entrepreneurial university, a term that captures the institution's enhanced involvement in technological innovation and its contribution to economic growth through the commercialization of research. The research discusses various models of innovation that have shaped our understanding of the knowledge transfer process, including the linear model of innovation, the triple helix model, and the open innovation model. These models provide a theoretical framework for analysing the mechanisms through which universities contribute to the economy, highlighting the importance of collaboration between academia, industry, and government. The paper pays particular attention to the role of Technology Transfer Entities (TTEs) within universities, which are instrumental in managing intellectual property, licensing inventions, and fostering partnerships with external stakeholders. Through a comprehensive analysis, the paper reveals that while the financial benefits of knowledge transfer from universities are increasingly recognized, there remains a significant research gap in understanding how university knowledge can be effectively transformed into economic benefits. This gap is particularly pronounced in the context of transition economies, where data on knowledge transfer mechanisms and their impact on innovation and economic growth is scarce. The study emphasizes the need for a multidimensional approach to assess the effectiveness of university TTEs, considering individual, organizational, and ecosystem-level characteristics.

Intermediaries (not) in action: Impediments to initiating the utilization of public research

This paper addresses a critical research gap in the field of university-industry knowledge transfer, with a particular focus on the often-neglected initiation stage from a failure analysis perspective. A workshop and follow-up interviews were conducted to systematically explore the motivations and abilities of both the knowledge senders and the recipients for initiating knowledge transfer processes in the field of intelligent mobility. In contrast to conventional approaches, our study does not presuppose successful knowledge transfer initiation; instead, it offers a unique opportunity to investigate the phenomenon of its omission. The intricate interplay among actors and their differing perceptions of research applicability, which leads to specific tasks for intermediaries in initiating knowledge transfer processes, is analyzed. The findings of this study indicate that both internal and external intermediaries encounter challenges in fulfilling their roles, particularly in initiating the utilization of public research. The key challenges identified include a flawed understanding of scientific research, a lack of initiative spirit, and a disregard for actual responsibilities. This study offers valuable insights that can inform the development of evidence-based policies aimed at initiating the utilization of public research.

Towards semi-supervised multi-modal rectal cancer segmentation: A large-scale dataset and a multi-teacher uncertainty-aware network

Rectal cancer is one of the most common malignant tumors of the digestive tract. Recently, deep learning has attracted significant attention in computer-aided cancerous region segmentation, offering better adjuvant treatment options for colorectal cancer patients. However, the size of existing rectal cancer datasets is insufficient, which severely limits the training of data-hungry segmentation models based on deep learning. Moreover, the existing datasets only contain image modality, while non-image modality information such as blood test reports is also important in practical clinical diagnosis. Hence, in this paper, we first collect the largest public dataset named RC4 for rectal cancer segmentation by far. RC4 contains 51,097 MRI slices from 657 patients of colorectal cancer, including MRI data and non-image data. We further propose a multi-modal multi-teacher uncertainty-aware network (M-MTUNet) for semi-supervised rectal cancer segmentation. Inspired by the human learning process, multi-teacher distillation is designed to transfer a variety of knowledge to a single student, which provides the student model with richer information. Besides, we propose a multi-modal uncertainty-aware consistency loss, which facilitates the knowledge transfer process from the two teacher networks to the student network and reduces the learning uncertainty within the student network. Extensive experiments demonstrate that M-MTUNet outperforms the current widely-used fully- and semi-supervised segmentation models.

Preserving South Asian Tribal Legacies: Exploring Oral Traditions, Traditional Spoken Narratives and Folk Tales

In South Asia, spoken narratives and folktales act as intangible forms of knowledge transfer. However, in recent years, the region’s once-flourishing oral culture has been sidelined by imperialism, modernization, and the dominance of print and tangible archives. Despite this, some tribes have managed to preserve their oral archives and continue to sustain the process of knowledge transfer through the spoken word. This paper delves into examples of such communities and argues that they challenge several Western premises while exercising agency over their own epistemic material. Additionally, the paper highlights the need to decolonize archival efforts in the digital age and suggests ways in which scholars can ensure that a tribe's knowledge systems are appropriately showcased, shared, and represented.

Crowdsourcing-based social linkage and organizational innovation competence: knowledge transfer effectiveness and absorptive capacity as serial mediators

PurposeThe purpose of this research is to examine the impact of crowdsourcing-based social connections on the development of innovation competence (IC). The conflicting results in existing studies regarding the influence of crowdsourcing-based social linkage on IC necessitate a thorough investigation into this relationship.Design/methodology/approachThe research uses a sample of 300 senior managers from various industries in India. The data is analyzed using partial least squares (PLS), a component-based approach to structural equation modeling.FindingsThe results of the analysis indicate that knowledge transfer effectiveness and absorptive capacity (ABC) play a significant role as mediators in the relationship between social linkages based on crowdsourcing and IC. This suggests that the effectiveness of knowledge transfer and the organization’s ability to absorb and apply new knowledge are crucial factors in leveraging crowdsourcing-based social connections for enhanced innovation capabilities.Practical implicationsThe findings of this study hold crucial implications for managerial practices. The research highlights that successful crowdsourcing outcomes necessitate more than mere establishment of external social linkages. Managers must recognize that internal organizational readiness plays an equally critical role. This study offers two key managerial insights: first, exclusive focus on external linkages is inadequate; internal capabilities such as ABC and optimized knowledge transfer processes must be actively nurtured. Second, the concept of “crowdsourcing maturity” is introduced, emphasizing the evolving dynamic capabilities over time. Managers are urged to adopt a balanced approach, aligning external partnerships with internal adaptability, to fully optimize IC.Originality/valueThis research contributes to the existing body of knowledge by shedding light on the mediating variables that influence the conversion of crowdsourcing-based social linkage into improved IC. By considering the role of knowledge transfer effectiveness and ABC, the study provides insights into the mechanisms through which social linkages based on crowdsourcing can impact innovation capabilities. These findings offer valuable implications for organizations seeking to leverage crowdsourcing for innovation purposes and enhance their overall IC.

KOMPETENSI MANAJERIAL KEPALA SEKOLAH DALAM MENINGKATKAN PROFESIONALISME GURU DI SMP AL-KAMIL ISLAMIC BOARDING SCHOOL, KABUPATEN CIANJUR

Education is essentially a process of knowledge transfer that is carried out gradually, continuously and requires a long process. So in the process it is necessary how to manage so that it can run optimally. The purpose of this study is to determine the managerial competence of principals in improving professional competence and strategies of principals in an effort to improve teacher professionalism at SMP Al-Kamil Islamic Boarding School. This research uses qualitative methods with the process of data collection through observation techniques, documentation studies and interviews. Miles and Huberman are used in conducting data analysis including: presenting data, reducing and drawing conclusions. While the data validity process is inseparable from 4 validation standards consisting of: credibility, transferability, dependability and certainty. The results of the study found that teachers at SMP Al-Kamil Islamic Boarding School have professionally seen the teaching process in class even though it has not run as a whole. The managerial competence of the principal in ensuring teacher professionalism is consciously carried out through planning involving teachers, several activities in supporting teacher professionalism include workshops, training and supervision in an effort to assess teachers related to their responsibilities and responsibilities.

The Knowledge Transfer Process of Mor Lam Ruang Toh Klon Khon Kaen Style to Prisoners at Khon Kaen Central Prison

The objective of this research was to convey the art of performing Mor Lam Rueang Tor Klon Khon Kaen style, by transferring the singing and performing techniques to prisoners in Khon Kaen Central Prison and evaluate research achievements. The research method included document study and fieldwork, consisting of observation and interviews with experts. The research results were presented through a performance presentation. The data was analyzed using the descriptive analysis method. The results of the study are as follows. In terms of the knowledge transfer process of the performing arts of Mor Lam Rueang Tor Klon Khon Kaen style through the process of transferring the singing and performing techniques to prisoners in Khon Kaen Central Prison, the composer included morals, ethics, and teachings into the song. Prisoners involved in the performance drew lessons from the characters they played. The activities from the research helped prisoners relieve stress. Mor Lum evolved from the palm leaf books into different types of performances, such as Mor Lum Pheun, Mor Lum Klon, Mor Lum Moo, Mor Lum Sing, and Mor Lum Phi Fah. Each type of Mor Lum is presented differently. One common element for all types of Mor Lum is the morals, ethics, teaching, beliefs, and livelihood of Isaan people ingrained within every song. Currently, the type of Mor Lum that both the older and younger generation can gain most access to is Mor Lum Tor Klon. There are many styles of Mor Lum Rueng Tor Klon in the Isaan region, such as the Ubon style, Khon Kaen Style, Kalasin Style, and Mahasarakham style. However, the style that is the most popular today is the Khon Kaen style due to its easy-listening tune, easier access, and easier to perform. Although the Khon Kaen style can be further categorized into various sangwats, or sub-styles, such as Paw Inta style, Paw Rabiab style, or Chumphae style, listeners still prefer the Khon Kaen style. Currently, 90 percent of the popular Mor Lum groups in the Isaan Region are the Mor Lum Rueng Tor Klon groups in Khon Kaen. It can be assumed that when Isaan people hear Mor Lum music, they feel joy in their hearts. Those who work in other regions miss home even more whenever they hear the Mor Lum music. However, there is another group of people who are also from Isaan but their freedom to the outside world has been taken away. We know them as “prisoners”. Prisoners are those who committed crimes and are detained by the Department of Correction. The department is the last department down that judicial line, tasked with overseeing prisoners convicted by the court and rehabilitating them to return to society as good citizens (Jirathitikarn, 2011). Khon Kaen Central Prison is a Northeastern regional prison for prisoners with skills in local performances and Luk Thung and Mor Lum music. There are workshops to provide knowledge in local Isaan music performances, which are used for improving the behaviors of prisoners to be able to adapt themselves as good citizens of society, as well as using the skill to develop their minds or generate income after they are released. From the above statement, the researchers found that whether they are prisoners in prisons or normal people living in society, they all need entertainment to soothe their sorrows. Therefore, the target group of this research consisted of prisoners detained in prison. Although they are physically detained, they should be able to receive the same type of happiness as people living on the outside. Thus, the researchers used an Isaan local performance, Mor Lum Tor Klon, as a tool that provides entertainment, while being embedded with teachings, morals, and ethics. Additionally, prisoners would receive knowledge in singing and participate in a Mor Lum Tor Klon Khon Kaen Style performance. When the prisoners are released, they can use the knowledge and skills in Mor Lum to start their careers and be accepted back into society. The researchers believe that this research will benefit the prisoners in Khon Kaen Central Prison, as well as be used as a tool in preserving the arts and culture of Mor Lum Tor Klon Khon Kaen Style in the future.

KNOWLEDGE TRANSFER PRACTICES AND STRATEGIES IN HIGHER EDUCATION

This study aims to investigate knowledge transfer practices and strategies measured by knowledge vision, leadership, sharing culture, strategies, and IT infrastructures. It also examines how the variables affect organizational performance. By involving 118 respondents collected through an online survey and analyzed using descriptive statistics and multiple linear regression, the study found that knowledge-sharing and IT infrastructure significantly influence organizational performance, while knowledge vision, knowledge leadership, and knowledge-sharing culture do not significantly affect organizational performance. Practices such as public lectures, seminars, workshops, collegial interchange, internships, and research collaborations are considered effective in supporting knowledge transfer activities in higher education. In addition, the knowledge creation process through socialization, externalization, combination, and internalization, and factors such as vision, leadership, culture, and IT infrastructure must be managed properly to support the knowledge transfer process and formulate appropriate strategies.

Knowledge management in the agriculture sector: a systematic literature review

ABSTRACT The agriculture sector is becoming increasingly important, with knowledge management (KM) seen as a vital component. This paper uses a systematic literature review of 44 peer-reviewed publications, in KM and non-KM journals, to examine how KM processes are used in agricultural research. Studies were mostly published in non-KM journals resulting in an absence of KM theory. Three key themes were identified as important for KM research in agriculture: stakeholder heterogeneity, informality of contexts and the presence of indigenous knowledge. All three themes affected the processes of knowledge creation, codification, transfer, sharing, and application. While agriculture provides a unique context for KM research, there is a need for a more nuanced understanding of how KM can be applied to create a future research framework that can be cumulatively built upon. To help achieve this, the paper also identifies several research gaps and suggests future research directions.

Translation of literary texts and online collaboration: Breaking barriers through virtual exchange

Literary translation usually brings linguistic, textual, cultural, and pragmatic problems into perspective. As a knowledge-transfer process, it also demands a set of skills as the translator intends to convey, to some extent, the literary subtleties of the original. Graduate students attending a MA seminar of Translation of Literary Texts are frequently asked to undertake the process of translating a selection of excerpts of a variety of literary texts, to acknowledge difficulties and set up strategies for achieving their work. One of the most rewarding tools available to literary translators is working with the author, which is not always feasible in real-life activity and even more unlikely in Literary Translation classes. This report presents the practice of virtual exchange by describing the experience of matching Creative Writing students with students attending a Translation of Literary Texts seminar. Online collaboration gave Literary Translation students a sense of real-life experience by having the opportunity to communicate and work with the author, translating unpublished and untranslated texts. It was not only an opportunity of participating in a collaborative international project by means of virtual exchange, but also an opportunity of translating with the author.

MCAD: Multi-classification anomaly detection with relational knowledge distillation

With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates anomaly classification. Furthermore, anomaly classification is currently requested for quality management and anomaly reason analysis. Therefore, it is essential to classify anomalies while improving the accuracy of AD. This paper designs a novel multi-classification AD (MCAD) framework to achieve high-accuracy AD with an anomaly classification function. In detail, the proposal model based on relational knowledge distillation consists of two components. The first one employs a teacher–student AD model, utilizing a relational knowledge distillation approach to transfer the interrelationships of images. The teacher–student critical layer feature activation values are used in the knowledge transfer process to achieve anomaly detection. The second component realizes anomaly multi-classification using the lightweight convolutional neural network. Our proposal has achieved 98.95, 96.04, and 92.94% AUROC AD results on MNIST, FashionMNIST, and CIFAR10 datasets. Meanwhile, we earn 97.58 and 98.10% AUROC for AD and localization in the MVTecAD dataset. The average classification accuracy of anomaly classification has reached 76.37% in fifteen categories of the MVTec-AD dataset. In particular, the classification accuracy of the leather category has gained 95.24%. The results on the MVTec-AD dataset show that MCAD achieves excellent detection, localization, and classification results.

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.

ADVANCED LEARNING AS AN IMPLICIT MODEL OF CONTINUOUS EDUCATION

By modeling and analyzing the levels of knowledge of students in school disciplines, the great didactic significance of more general and universal ideas in the process of forming students’ thinking during learning has been revealed. Presenting particularly important aspects of the process of generalization of students' knowledge and existing interpretations of one model of advanced learning, ways to implement the ideas of continuous education within the framework of fundamentalization and strengthening of the methodological approach of the educational process are identified. The application of the presented model of advanced learning allows to generalize fundamental ideas, universal concepts and methods, which are the basis for the formation of thinking in the following discipline by using general logical methods of scientific knowledge (analysis, synthesis, induction, deduction, modeling, analogues, etc.). The subject of the study is to reveal the fundamental possibilities of advanced learning in the process of implicit transfer of students' knowledge. The purpose of the article is to substantiate the development and implementation of an advanced learning model aimed at improving the quality of learning in the context of continuous education, based on the implicit transfer of student knowledge. It is shown that in advanced learning, the objects of advance are such fundamental ideas, concepts, and methodological approaches which in their essence are core for the process of knowledge transfer. Consistent application of advanced learning is an effective tool for generalizing students' knowledge which contributes to the formation of students' thinking. As a result, the concept of “Advanced learning as an implicit model of continuous education” was has been put forward.

Shared Knowledge Distillation Network for Object Detection

Object detection based on Knowledge Distillation can enhance the capabilities and performance of 5G and 6G networks in various domains, such as autonomous vehicles, smart surveillance, and augmented reality. The integration of object detection with Knowledge Distillation techniques is expected to play a pivotal role in realizing the full potential of these networks. This study presents Shared Knowledge Distillation (Shared-KD) as a solution to overcome optimization challenges caused by disparities in cross-layer features between teacher–student networks. The significant gaps in intermediate-level features between teachers and students present a considerable obstacle to the efficacy of distillation. To tackle this issue, we draw inspiration from collaborative learning in real-world education, where teachers work together to prepare lessons and students engage in peer learning. Building upon this concept, our innovative contributions in model construction are highlighted as follows: (1) A teacher knowledge augmentation module: this module is proposed to combine lower-level teacher features, facilitating the knowledge transfer from the teacher to the student. (2) A student mutual learning module is introduced to enable students to learn from each other, mimicking the peer learning concept in collaborative learning. (3) The Teacher Share Module combines lower-level teacher features: the specific functionality of the teacher knowledge augmentation module is described, which involves combining lower-level teacher features. (4) The multi-step transfer process can be easily optimized due to the minimal gap between the features: the proposed approach breaks down the knowledge transfer process into multiple steps, which can be easily optimized due to the minimal gap between the features involved in each step. Shared-KD uses simple feature losses without additional weights in transformation, resulting in an efficient distillation process that can be easily combined with other methods for further improvement. The effectiveness of our approach is validated through experiments on popular tasks such as object detection and instance segmentation.