27 papers · ranked by Valyu relevance
Xiaofang Xiong, Anandhan Hariharasudan
Digital transformation is a crucial strategy for enterprises to navigate the digital economy, leading to a growing number of organizations actively engaging in this process. However, the high failure rates in digital transformation initiatives have pushed both academia and industry to identify effective approaches. Key…
Vicky L Ward, Allan O House, Susan Hamer
Background There are many theories about knowledge transfer but there are few clear descriptions of knowledge transfer interventions or the processes they involve. This failure to characterise structure and process in proposed KT interventions is a major barrier to the design and implementation of evaluations of…
Fuhua Wang, Zuhua Jiang, Xinyu Li, Lingguo Bu + 1 more
As a complex cognitive activity, knowledge transfer is mostly correlated to cognitive processes such as working memory, behavior control, and decision-making in the human brain while engineering problem-solving. It is crucial to explain how the alteration of the functional brain network occurs and how to express it…
Michael Yao-Ping Peng, Yongjun Feng, Xue Zhao, WeiLoong Chong
Previous studies have explored a multitude of factors influencing student learning outcomes based on various theories. Knowledge transfer theory was adopted to develop the antecedents of student learning outcomes in the complete learning process. This study aims to explore the conspicuousness between various factors…
Glyn Elwyn, Mark Taubert, Jenny Kowalczuk
Background In health care, a well recognized gap exists between what we know should be done based on accumulated evidence and what we actually do in practice. A body of empirical literature shows organizations, like individuals, are difficult to change. In the business literature, knowledge management and transfer has…
Finn Olav Bjørnson, Torgeir Dingsøyr
Software engineering is knowledge-intensive work, and how to manage software engineering knowledge has received much attention. This systematic review identifies empirical studies of knowledge management initiatives in software engineering, and discusses the concepts studied, the major findings, and the research…
Maria José Sousa, Francesca Dal Mas, Alexeis Garcia-Perez, Lorenzo Cobianchi
'Lorenzo Cobianchi'] Organizations are challenged by the need to transform Dynamic Knowledge, embedded in each worker, into Static Knowledge, rooted in factual documental information. However, innovation and knowledge creation seem to be facilitated by the personal knowledge and life experiences of people, which appear…
Fernando Ferri, Patrizia Grifoni, Maria Chiara Caschera, Arianna D’Ulizia + 1 more
'Arianna D’Ulizia' 'Caterina Praticò'] The deep financial and economic crisis, which still characterizes these years, requires searching for tools in order to enhance knowledge sharing, creativity and innovation. The Internet is one of these tools that represents a practically infinite source of resources. In this…
Radosław A. Kycia, Agnieszka Niemczynowicz, Andrzej Buszko
This article is devoted to the process of diffusing tacit knowledge. This intangible asset has proven crucial for achieving a competitive advantage among market-oriented companies. A novel model of tacit knowledge diffusion is presented, employing the concept of heat diffusion from physics. Furthermore, graph theory…
Dominik Garber, József Fiser
Transfer learning, the re-application of previously learned higher-level regularities to novel input, is a key challenge in cognition. While previous empirical studies investigated human transfer learning in supervised or reinforcement learning for explicit knowledge, it is unknown whether such transfer occurs during…
Ali Jarrahi, Mohammad Reza Kangavari
The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge, adequately using knowledge resources, will be more successful than their competitors. For effective use of knowledge, dynamic knowledge…
John Kingston
This paper begins by describing a recently published method that can be used to classify knowledge dissemination techniques. It then describes four knowledge dissemination techniques and when they should be used, including real life examples from the domain of health and safety. It concludes by summarising the pros and…
Chin-Hsuan Sophie Lin, Trang Thuy Do, Lee Unsworth, Marta I. Garrido
Numerous studies have found that the Bayesian framework, which formulates the optimal integration of the knowledge of the world (i.e. prior) and current sensory evidence (i.e. likelihood), captures human behaviours sufficiently well. However, there are debates regarding whether humans use precise but cognitively…
Rosemary Van Der Meer, Karlheinz Kautz
This study examines a human-based approach for knowledge retention that is evolving through various knowledge sharing channels in a low-technology environment with a strong emphasis on social networks in a loosely-coupled inter-organisational government-industry collaboration focused on regional sustainability. Using…
Ludovic Maisonneuve, Laurent Lehmann, Charles Mullon
Natural selection shapes how individuals learn and acquire knowledge from their environment. Under the right conditions, this can lead to the evolution of learning schedules—how individuals allocate resources to acquire knowledge throughout their lifespan—that promote the accumulation of knowledge across generations…
Nicolas Fernandez, Nicole Leduc, Nathalie Caire Fon, Louis-Georges Ste-Marie + 2 more
Competency-based medical education (CBME) implementation is being carried out in many medical schools worldwide. Academic Leadership is a strategy where selected Faculty act to influence peers to adopt change. The Université de Montréal medical school, has adopted this strategy to implement CBME. This paper aims to…
Torgeir Dingsøyr
Companies that develop software have a pressure from customers to deliver better solutions, and to deliver solutions faster and cheaper. Many researchers have worked with suggestions on how to improve the development process; software process improvement. As software development is a very knowledge intensive task, both…
Ludovic Maisonneuve, Laurent Lehmann
Learning is crucial for humans and other animals to acquire knowledge, enhancing survival and reproduction. In particular, individual and social learning allow populations to accumulate knowledge across generations. Here, we examine how stochasticity in the production and social acquisition of knowledge influences the…
Jean-Baptiste André, Nicolas Baumard
This paper aims to understand the dynamics of cultural accumulation when cultural knowledge is costly to produce and costly to learn. We first show that the cost of social learning prevents any significant cultural accumulation, as individuals rapidly reach a maximum amount of knowledge that they can barely learn over…
Audrey Reeves, Amanda Bischoff, Brice Yates, Daniel Brauer + 1 more
The undergraduate transfer process has well-documented challenges, especially for those who identify with groups histori-cally excluded from science, technology, engineering, and mathematics (STEM) programs. Because transfer students gain later access to university networking and research opportunities than…
Alenka Hribar, Annette Kilian, Claudio Tennie
Whether and how dolphins can engage in spontaneous, untrained social learning to solve novel tool problems via action- or result- (or other) social learning remains debated. In the present study we tested the spontaneous social learning abilities of six dolphins (all not trained to copy) on two tool-using tasks (what…
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras + 3 more
By combining machine learning with design of experiments, so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible, and are better at investigating the processes spanning all length scales of chemical engineering. While the active machine…
Martin Starman, Fabian Kirchner, Martin Held, Catriona Eschke + 4 more
Electronic Lab Notebooks (ELNs) have become indispensable tools for modern research laboratories, facilitating data management, collaboration, and documentation of scientific experiments. However, the proliferation of diverse ELN platforms poses challenges for researchers who need to seamlessly exchange data between…
Authors not listed
Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Authors not listed
Digital twins are virtual companions for the design, scale-up, and control of chemical processes. Equipping digital twins with mechanistic models of their mirrored unit operation expands their range of applicability compared to pure data-driven models. As constructing mechanistic models requires time, effort, and…
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A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
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Classical and quantum mechanics laws are rebuilt in the framework of new thermodynamics: Electrons condense to form the hot protons and cool protons (neutrons), and then construct the nucleus by the thermal difference force. An atom is an adiabatic electron-gas system. Heat is the sum of variations in kinetic energy…