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...
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...
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...
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...
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...
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...
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...
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....
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...
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...
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...
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...
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...
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...
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...
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...
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...
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 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...
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...
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...
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...
(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...
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...
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...
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...
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...
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...
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...
Edge computing brings computational ability to network edges to enable low latency based on deploying devices close to the environment where the data is generated. Nevertheless, the limitation of size and energy consumption constrain the scalability...
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...
The present study aims to investigate how commercialisation and knowledge transfer between the SMEs of the tourism sector and the higher education institutions (HEIs) are made, as well as to find out whether the SMEs of the tourism sector are part of...
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...
The energy sector is the epitome of Industry 4.0; therefore, it should be developed in line with the Industry 4.0 implementation framework and be managed according to the guidelines dedicated to knowledge-based enterprises. Under this model of evolut...
University–industry (U–I) collaborations are widely recognized as key drivers of economic progress, innovation, and competitiveness, fostering significant scholarly interest. Concurrently, research findings on these interactions have cont...
The urgency of addressing the climate crisis has heightened the need to make sustainable decisions. Universities and research institutions are uniquely able to help develop and disseminate useful information for industry, specifically small and mediu...
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...
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...
Low-resource malware families are highly susceptible to being overlooked when using machine learning models or deep learning models for automated detection because of the small amount of data samples. When we target to train a classifier for a low-re...
Research and technology commercialization at research-intensive universities has helped to develop provincial economies resulting in university startups, the growth of other new companies and associated employment. University technology transfer offi...
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...
There are two problems with traditional knowledge distillation methods in industrial anomaly detection: first, traditional methods mostly use feature alignment between the same layers. The second is that similar or even identical structures are usual...
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...
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