Knowledge-in-Use, i.e., the ability to apply what one has learned, is a major goal of education and involves the ability to transfer one’s knowledge. While some general principles of knowledge transfer have been revealed, the literature is full of in...
Knowledge distillation (KD) is crucial for remote sensing image (RSI) classification, particularly as the operating environment in remote sensing is often constrained by hardware limitations. However, prior research has not fully addressed the challe...
Managing multiple knowledge transfers between headquarters and subsidiaries, among subsidiaries, and also within each of these units is crucial for multinational corporations’ (MNCs) survival. Therefore, this article aims to uncover the main fa...
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 employe...
The purpose of the study is to investigate the role that knowledge creation and knowledge transfer processes play in family firm intergenerational succession in Thailand. An exploratory qualitative case study approach is used. Interviews were conduct...
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 transfe...
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 ran...
Universities play an essential role in preparing human resources for the industry of the future. By providing the proper knowledge, they can ensure that graduates will be able to adapt to the ever-changing industrial sector. However, to achieve this,...
Scientific crowdsourcing based on knowledge transfer between enterprises has drawn wide attention. This paper constructs the Stackelberg master–slave game model and the benefit sharing model. Through the model comparison and numerical simulatio...
In this paper, a novel bearing faulty prediction method based on federated transfer learning and knowledge distillation is proposed with three stages: (1) a “signal to image” conversion method based on the continuous wavelet transform is...
Transferring a quantity of credible knowledge is a key sustainable competitive advantage for multi-agent cooperation in an interorganizational network (ION). This study presents simulation research to identify the impacts of reputation mechanisms in...
Employing both a correlational and a configurational framework, this study proposes that engagement in business simulations, working environment culture, and acquired knowledge on business simulations are forerunners of sustainable knowledge transfer...
To identify the influencing factors and internal mechanism of knowledge transfer among prefabricated construction workers (PCWs), this study constructs a knowledge transfer behavior model for PCWs from various perspectives, including behavioral attit...
In this work, we propose a mechanism for knowledge transfer between Convolutional Neural Networks via the geometric regularization of local features produced by the activations of convolutional layers. We formulate appropriate loss functions, driving...
Skills needed in jobs and skills mismatches are important topics for research and policy in the field of economic development and the labour market. Understanding skill needs is essential for improving education and training policies, as labour marke...
Due to rapid technological advancements, firms are paying more attention to the importance of knowledge creation and sharing. Effective knowledge management can be utilized to enhance employee performance, as well as an organization’s competiti...
This paper investigates the generative mechanisms for scientific knowledge transfer in the food industry, addressing the sustainability of knowledge transfer projects related to health, safety and regulation. Different levels of analysis examine stru...
This paper investigates the effect of different Internet application scenarios on the forward and reverse knowledge transfer between architecture enterprises and component enterprises in the context of modular production in manufacturing enterprises....
Effects of traditional training methods are not obvious when transferring competent knowledge to construction workers to allow them to deal with new technology and intelligent equipment. The purpose of this study was to explore knowledge transfer pat...
Examining the knowledge transfer process in sustainable contexts, we identified various gaps, which we analyzed in this study. First, we compare the temporal context of firms with eco-innovation strategies before and after the financial crisis of the...
Knowledge Graphs (KGs), a structural way to model human knowledge, have been a critical component of many artificial intelligence applications. Many KG-based tasks are built using knowledge representation learning, which embeds KG entities and relati...
Despite the significant contribution of buyer-driven knowledge transfer activities (BDKTAs) to innovation and operational performance, studies that analyze social sustainability in manufacturing (suppliers) firms are still scarce. This paper examines...
(1) Background: This paper examines the relationships between generational handover protocols, knowledge transfer behavior, and key organizational outcomes. (2) Methods: A quantitative design was applied, using non-parametric tests and partial least...
This study aims to review and synthesize the rapidly evolving literature on technology transfer from universities, and the concepts and models included in it, from a knowledge-flow approach to find the factors contributing to its performance. This ar...
The FunDivEurope (Functional Significance of Forest Biodiversity in Europe) project aimed to quantify the role of forest biodiversity for ecosystem functioning and the delivery of goods and services in major European forest types. Members of the rese...
Is learning more knowledge always better for vision-and-language models? In this paper, we study knowledge transferability in multi-modal tasks. The current tendency in machine learning is to assume that by joining multiple datasets from different ta...
10 December 2020
The essence of innovation lies in knowledge, which is why open innovation opens the door to knowledge transfer with agents outside the organization. In order to comprehend the joint scientific trajectory of these two areas of knowledge, the aim of th...
A primary cause of occupational accidents is on-site workers not having proper or even adequate safety knowledge and awareness, leading to them failing to employ safety measures, equipment, or behavior to protect themselves. The complexity of constru...
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 Pro...
This study focuses on exploring the nature of inter-organizational learning and the types of knowledge that are transferred/shared between foreign multinational companies (MNCs) and their local partner firms within international interfirm alliances i...
5 December 2020
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 secto...
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’ relations...
Numerous studies and reviews about University Knowledge Transfer Offices (UKTO) have been written, but there are few that focus on Social Responsibility (SR). We present a systematic review of the research on both fields. We consider not only logics...
Spanish researchers’ recent evaluations regarding the transfer of knowledge have shown that activities that could help close the gender gap in STEM areas are penalized upon evaluation. The results were very disappointing and, upon inspection, could l...
Sport mega-events are characterized by a high degree of organizational complexity and are where games organizers take opportunities to strengthen their competencies and forge network connections via knowledge transfer. However, there is scarce eviden...
Background: Dynamic multiobjective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, and dynamic multiobjective algorithms (DMOAs) aim to find Pareto optima that are closer to the real one in the new environment...
Despite the growing importance of green building projects, limited research has explored the factors influencing intergenerational knowledge transfer (IGKT) in this context. As green building projects are increasingly characterized by high environmen...
The research paper explored the barriers hindering the effective transfer and retention of tacit knowledge in postgraduate supervision within South African higher education institutions (HEIs). Extant literature reveals significant challenges, notabl...
A deep-learning technology for knowledge transfer is necessary to advance and optimize efficient knowledge distillation. Here, we aim to develop a new adversarial optimization-based knowledge transfer method involved with a layer-wise dense flow that...
Industry 4.0 brings opportunities for small- and medium-sized enterprises (SMEs), but SMEs are lacking Industry 4.0 knowledge, and this might result in a challenge to support SMEs’ competitiveness and productivity. During recent years, the European C...
This paper proposes a novel bacteria foraging reinforcement learning with knowledge transfer method for risk-based economic dispatch, in which the economic dispatch is integrated with risk assessment theory to represent the uncertainties of active po...
Community-based participatory research initiatives such as “hackAir”, “luftdaten.info”, “senseBox”, “CAPTOR”, “CurieuzeNeuzen Vlaanderen”, “communityAQ”, and “Healthy Air, Healthier Children” campaign among many others for mitigating short-lived clim...
The public sector is usually viewed as a formal and hierarchical organization. However, they need to improve the quality of their work to solve community matters satisfactorily. This study examines the mediating role of the motivation to learn in the...
It is of great significance to study the effectiveness of knowledge transfer between the new and the veteran employees within enterprises for promoting sustainable innovation from the perspective of innovation quality management. However, few studies...
Efficient emergency load transfer is crucial for ensuring the power system’s safe operation and reliable power supply. However, traditional load transfer methods that rely on human experience have limitations, such as slow response times and lo...
How to realize the sustainable development of the industry-university-research institute (IUR) collaboration innovation ecosystem has become a key factor restricting the independent innovation capability of Chinese enterprises. Knowledge transfer per...
Against the background of the current development of China’s engineering consulting industry, the technology acceptance model (TAM) is applied to construct a model of digital management influencing the willingness to transfer knowledge in whole...
As the most commonly used attack strategy by Botnets, the Domain Generation Algorithm (DGA) has strong invisibility and variability. Using deep learning models to detect different families of DGA domain names can improve the network defense ability a...
Pre-trained models have played important roles in many tasks, such as domain adaptation and out-of-distribution generalization, by transferring matured knowledge. In this paper, we study Neural Architecture Search (NAS) in the feature space level and...
Technological innovation requires large investments. Venture capital (VC) is a prominent financial source for innovative start-ups. A venture capitalist will inevitably transfer knowledge to facilitate the innovation of a firm while monitoring and ad...
of 77