Search Results (14)

The growing number of senior experts leaving the workforce (especially in more developed economies, such as in Europe), combined with the ubiquitous access to artificial intelligence (AI), is triggering organizations to review their knowledge transfer programs, motivated by both financial and management perspectives. Our study aims to contribute to the field by analyzing options to integrate intergenerational tacit knowledge transfer (InterGenTacitKT) with AI-driven approaches, offering a novel perspective on sustainable Knowledge and Human Resource Management in organizations. We will do this by building on previous research and by extracting findings from 36 in-depth semi-structured interviews that provided success factors for junior/senior tandems (JuSeTs) as one notable format of tacit knowledge transfer. We also refer to the literature, in a grounded theory iterative process, analyzing current findings on the use of AI in tacit knowledge transfer and triangulating and critically synthesizing these sources of data. We suggest that adding AI into a tandem situation can facilitate collaboration and thus aid in knowledge transfer and trust-building. We posit that AI can offer strong complementary services for InterGenTacitKT by fostering the identified success factors for JuSeTs (clarity of roles, complementary skill sets, matching personalities, and trust), thus offering organizations a powerful means to enhance the effectiveness and sustainability of InterGenTacitKT that also strengthens employee productivity, satisfaction, and loyalty and overall organizational competitiveness. Full article

Remote-sensing image dehazing (RSID) is crucial for applications such as military surveillance and disaster assessment. However, current methods often rely on complex network architectures, compromising computational efficiency and scalability. Furthermore, the scarcity of annotated remote-sensing-dehazing datasets hinders model development. To address these issues, a Dual-View Knowledge Transfer (DVKT) framework is proposed to generate a lightweight and efficient student network by distilling knowledge from a pre-trained teacher network on natural image dehazing datasets. The DVKT framework includes two novel knowledge-transfer modules: Intra-layer Transfer (Intra-KT) and Inter-layer Knowledge Transfer (Inter-KT) modules. Specifically, the Intra-KT module is designed to correct the learning bias of the student network by distilling and transferring knowledge from a well-trained teacher network. The Inter-KT module is devised to distill and transfer knowledge about cross-layer correlations. This enables the student network to learn hierarchical and cross-layer dehazing knowledge from the teacher network, thereby extracting compact and effective features. Evaluation results on benchmark datasets demonstrate that the proposed DVKT framework achieves superior performance for RSID. In particular, the distilled model achieves a significant speedup with less than 6% of the parameters and computational cost of the original model, while maintaining a state-of-the-art dehazing performance. Full article

The impact of knowledge transfer induced by universities on economy, society, and culture is widely acknowledged; nevertheless, this aspect is often neglected by university rankings. Here, we considered three of the most popular global university rankings and specific knowledge transfer indicators by U-multirank, a European ranking system launched by the European Commission, in order to answer to the following research question: how do the world top universities, evaluated according to global university rankings, perform from a knowledge transfer point of view? To this aim, the top universities have been compared with the others through the calculation of a Global Performance Indicator in Knowledge Transfer (GPI KT), a hierarchical clustering, and an outlier analysis. The results show that the universities best rated by global rankings do not always perform as well from knowledge transfer point of view. By combining the obtained results, it is possible to state that only 5 universities (Berkeley, Stanford, MIT, Harvard, CALTEC), among the top in the world, exhibit a high-level performance in knowledge transfer activities. For a better understanding of the success factors and best practices in knowledge transfer, a brief description of the 5 cited universities, in terms of organization of technology transfer service, relationship with business, entrepreneurship programs, and, more generally, third mission activities, is provided. A joint reading of the results suggests that the most popular global university rankings probably fail to effectively photograph third mission activities because they can manifest in a variety of forms, due to the intrinsic and intangible nature of third mission variables, which are difficult to quantify with simple and few indicators. Full article

Knowledge transfer has become very popular in recent years, and it is either based on a one-way transfer method used with knowledge distillation or based on a two-way knowledge transfer implemented by deep mutual learning, while both of them adopt a teacher–student paradigm. A one-way based method is more simple and compact because it only involves an untrained low-capacity student and a high-capacity teacher network in the knowledge transfer process. In contrast, a two-way based method requires more training costs because it involves two or more low-cost network capacities from scratch simultaneously to obtain better accuracy results for each network. In this paper, we propose two new approaches, namely full deep distillation mutual learning (FDDML) and half deep distillation mutual learning (HDDML), and improve convolutional neural network performance. These approaches work with three losses by using variations of existing network architectures, and the experiments have been conducted on three public benchmark datasets. We test our method on some existing KT task methods, showing its performance over related methods. Full article

While there are existing empirical reviews regarding the relation between knowledge workers (KW) and knowledge transfer (KT), no study has examined the association of automation and knowledge transfer. The study describes knowledge workers as employees embedded with special abilities and having the main role of transfering their abilities to other workers in the organization. Additionally, automation (AUT) is described in the study as a technological process embedded with tacit knowledge. Therefore, using knowledge worker productivity theory and the technology acceptance model, this study aims to recommend and test a research model which examines the mediating role of knowledge transfer between automation, knowledge workers, and employee outcomes (employee creativity (EC) and innovative performance (IP)). The study evaluates the significant influence of knowledge transfer on innovative performance and creativity of other employees within the organization. This study applied a judgmental non-probability sampling research strategy to gather data from employees at an industrial firm in Japan by administering a questionnaire via Google Form. The data were analyzed with partial least squares based on structural equation modeling aimed at testing the predictive power and relationships of the model estimates. The results found support for the mediating role of knowledge transfer between automation and employee creativity as well as between automation and innovative performance. However, the study found partial support that knowledge transfer mediates the relationship between knowledge worker and employee creativity, as well as knowledge worker and innovative performance. In the same, automation and knowledge workers have significant impacts on knowledge transfer. Knowledge transfer has a significant impact on employee creativity and innovative performance. Full article

The global economy, and agriculture, in particular, faces significant challenges and transformation pressures. A major challenge, and opportunity, is the transformation towards digital agriculture or agriculture 4.0, where knowledge transfer (KT) has an important role to play not only in ensuring that digital innovations reach end-users, but also that these innovations contribute to development in rural landscapes. This paper analyses the role of KT in the framework of digital transformation (DT) in the Andalusian olive landscape. Thus, from the perspective of knowledge-generating agents, the main knowledge emitting and receiving actors in the DT are identified by using Social Network Analysis techniques (SNA). Subsequently, the performance of the Technological Innovation System (TIS) in KT is evaluated by using the multi-criteria Analytic Hierarchy Process (AHP) method. The results suggest that the knowledge-generating agents, the knowledge transfer actors, and the scientific and dissemination media actors are the main knowledge emitters and highlight their role as cohesive actors of the social network. The main knowledge receivers are olive growers, cooperatives and non-cooperative groups. The results also indicate that the global performance of the TIS in the KT function is medium/low. Furthermore, in the KT sub-functions where the TIS in DT performs best is the quality of the transfer processes of DT, and where it performs worst is the sufficiency of spaces for KT. Full article

The target for 2030 of reaching a 32% share of renewable energy in the gross final energy consumption can be achieved by speeding up the transformation pending the implementation of knowledge transfer (KT) policies that foster regional cooperation for the cost-effective development of renewables. The research purpose is the analysis of important factors in the development of the renewable energy sector through knowledge sharing and collaboration across the Member States in a comparable manner. The hypotheses are as follows: Hypothesis 1 (H1) there are synergies between knowledge transfer and economic impact through income and jobs for the renewable energy sector and Hypothesis 2 (H2) the EU countries have different profiles of synergy. The research proposition was established through the employment of a quantitative synergy and trade-offs analysis based on the knowledge transfer indicators and the sustainable development framework. The research method, namely the advanced sustainability analysis (ASA), uses the quantitative assessment tool for the understanding of synergies between two or three dimensions of sustainable development, presuming that the combined effect of the factors is greater than the sum of their individual effects. The current research comprises an evaluation of the renewable energy sector knowledge transfer policy models at the national level for 24 EU countries and four other European states, focusing on the capabilities to create synergies. The results of the study represent a valuable input for the policy makers, allowing for a coherent and sustainable planning and programming of the new electricity market, adopted through the Clean Energy Package, and following a highly dynamic and radically disruptive background, exploiting the ‘successful’ profiles. Full article

In knowledge economy era, enterprise needs to innovate to maintain its advantages and competitiveness. Construction enterprises, being pillars of China’s economy and confronting the challenge brought by the strategy of “going out”, the call for their technology or management innovation was broadly pronounced across practical and academic fields. Social capital (SC), as a resource in a social network, is the basis for creating sustainable competitiveness and advantage for enterprises. The innovative achievements and innovation performance (IP) of enterprises are largely determined by their SC. To achieve competitiveness in the market, enterprises must carry out knowledge transfer (KT) with the other members of their networks. However, few scholars have examined weather SC has any effect on IP in construction enterprises. Using a KT perspective, this paper explored how SC affects the IP of construction enterprises. Based on the literature review and analysis, a conceptual model was constructed and validated using structural equation modeling (SEM). Through empirical analysis, the following conclusions were drawn: (1) SC has a positive impact on the IP of construction enterprises. Among them, the structural dimension (SD) and cognitive dimension (CD) have a significant positive impact on the IP of construction enterprises, while the relational dimension (RD) does not. (2) The SD, CD, and RD of construction enterprises’ SC have a positive influence on KT. (3) There are mediating effects of KT between SC and IP of construction firms, and they are partial. KT plays a partial mediating effect between SD, CD, and IP of construction firms. The research results can not only improve an understanding of effects of SC on IP of construction enterprises, but also validate the importance of KT in stimulating IP. Full article

Academia–enterprise collaboration is understood as a determinant that improves innovation and competitiveness. The mechanisms by which this collaboration occurs have awakened increasing interest among academics, as well as in the business sector. This research aims to identify how open innovation communities can mediate the academia-enterprise relationship, as well as the factors that are more affected by this mediation. Based on the literature, the article addresses the definition of open innovation communities (OICs), university–enterprise cooperation, knowledge transfer (KT), as well as an understanding of OICs as a mechanism for academia–enterprise transfer. An analysis of twelve OICs, conformed by professors, students, graduates, and experts from a Colombian higher education institution is performed. For the data analysis, a factor analysis involving structural equation modeling is carried out. Our results highlight the most important characteristics to take into account in the study of knowledge transfer when OICs are involved, and they also indicate the level of connection between these factors. Full article

The aim of this paper is to contribute to the body of knowledge about project-based learning (PBL) methodology in higher education by describing and analysing interrelations between competencies, and their contribution to knowledge transfer (KT) and students’ rating of the project. The sample consisted of 464 students from the Universities of Huelva (N = 347; 74.8%) and Murcia (N = 117; 25.2%), enrolled in the second year of a degree in either Infant or Primary Education. Data was collected through a self-administered questionnaire comprising a total of 53 items measuring general, specific, and transversal competencies, as well as students’ rating of the project. Competencies were selected from the course programmes for the degrees in Infant and Primary Education. Preliminary results showed that competencies were moderately to highly acquired after PBL, and that students reported notable KT as well as a positive assessment of the project. KT showed a high degree of association with students’ ratings and was established as a key factor in learning and learner satisfaction in higher education. Full article

The 21st century has witnessed a growth in the importance given to the third mission of Higher Education Institutions (HEI). This third mission refers to the socioeconomic engagement with the surrounding social and business fabric, namely in the form of knowledge transfer (KT) schemes and policies. Despite its widely-recognized importance, the Cultural and Creative Sector (CCS) has remained only marginally engaged with HEI, in part due to the lack of explicit policy by public actors to bring the two types of actors together. This article seeks to explore the institutional frameworks that have been developed for knowledge transfer from HEI to the CCS in selected regions of the Atlantic Area. Towards this goal, it first analyses some of the sectoral specificities of the CCS, identifying three feature which distinguish the sector: the entrepreneurial structure and organization of CCS; the type of knowledge, innovation and motivations of firms; and their absence of connections to HEI. The article seeks then to analyze to what extent existing policy on CCS and KT policies in the regions has tackled these specificities, through a qualitative analysis of reports, policy documents, and academic analysis of the regional economies, before proposing a model for understanding KT policy in the CCS sector, which serves as a preliminary line of inquiry into the knowledge relations in the CCS. Finally, these policy concerns are related to the perceptions of CCS practitioners, attempting to understand the primary concerns of these actors according to their regional context. The article highlights the existing disconnect between public policy, the current state of understanding of the CCS and the industry actors, urging for greater research and policy-development to promote innovation and socioeconomic growth. Full article

Childhood obesity is complex and requires a ‘systems approach’ that collectively engages across multiple community settings. Sustainable Childhood Obesity Prevention through Community Engagement (SCOPE) has implemented Live 5-2-1-0—a multi-sector, multi-component childhood obesity prevention initiative informed by systems thinking and participatory research via an innovative knowledge translation (KT) model (RE-FRAME). This paper describes the protocol for implementing and evaluating RE-FRAME in two ‘existing’ (>2 years of implementation) and two ‘new’ Live 5-2-1-0 communities to understand how to facilitate and sustain systems/community-level change. In this mixed-methods study, RE-FRAME was implemented via online resources, webinars, a backbone organization (SCOPE) coordinating the initiative, and a linking system supporting KT. Qualitative and quantitative data were collected using surveys and stakeholder interviews, analyzed using thematic analysis and descriptive statistics, respectively. Existing communities described the consistency of Live 5-2-1-0 and extensive local partnerships/champions as catalysts for synergistic community-wide action; new communities felt that the simplicity of the message combined with the transfer of experiential learning would inform their own strategies and policies/programs to broadly disseminate Live 5-2-1-0. RE-FRAME effectively guided the refinement of the initiative and provided a framework upon which evaluation results described how to implement a community-based systems approach to childhood obesity prevention. Full article

Traditionally, undergraduate curriculum committees, consisting of appointed faculty and student representatives, have served as the sole departmental vehicle for investigating, discussing and promoting the scholarship of teaching and learning (SoTL) within an academic department. However, with the universal demand for greater accountability on all aspects of evidence-based teaching and on the totality of student learning and career outcomes, some academic departments have encouraged the formation of additional organizations to support their SoTL mandate. In the Department of Human Health and Nutritional Sciences, the approach taken was to combine the interests of the faculty who had a sustained interest in the “scholarship of knowledge translation and transfer” in the health sciences with those who had a developing interest in SoTL. These faculty members would then form the foundation of a “network” which has been called the K*T3net. The virtual common space of the network is on a Learning Management System (LMS) site which is accessed by all faculty members in the network and by a growing number of staff and senior PhD students in the department. The features and potential uses of the K*T3net website will be discussed. The development of the K*T3net has already supported the proposal for a new undergraduate course on SoTL and is opening the possibility for graduate students to add a SoTL component to their thesis research. Full article

The aim of this paper is to examine government–university–community partnerships for knowledge mobilization (KM) and knowledge transfer (KT) in the area of immigration and settlement research using the illustrative case of the Canadian Metropolis Project. The Metropolis Project in Canada began in 1995 with the goal of enhancing policy-oriented research capacity for immigration and settlement and developing ways to better use this research in government decision-making. Core funding for this partnership was provided jointly by Citizenship Immigration Canada (CIC), a department of the Government of Canada and the primary social science granting agency, the Social Science and Humanities Research Council (SSHRC). As of 2012, and subsequent to three successful funding phases, the decision was made to end government and SSHRC core funding for this initiative, however, other non-governmental funding avenues are being explored. The longevity of this partnership and the conclusion of this specific initiative present an opportunity to reflect critically on the nature of such partnerships. This paper is an attempt to identify some of the key themes, issues and challenges related to research partnerships, KM and KT. Also, with the aid of an illustrative case, it aims to specify some of the possibilities and limitations of this kind of policy relevant knowledge mobilization. Special consideration will be placed on the context in which the demand for knowledge mobilization and knowledge transfer has emerged. This examination has considerable international relevance as the Canadian Metropolis Project offers the leading example of a research partnership in the field of immigration and settlement. Full article