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Готові списки джерел за темами / Global knowledge network / Статті в журналах

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Статті в журналах з теми "Global knowledge network"

Автор: Grafiati

Опубліковано: 12 жовтня 2024

Оновлено: 30 липня 2025

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1

Cugmas, Marjan, Anuška Ferligoj, Miha Škerlavaj, and Aleš Žiberna. "Global structures and local network mechanisms of knowledge-flow networks." PLOS ONE 16, no. 2 (2021): e0246660. http://dx.doi.org/10.1371/journal.pone.0246660.

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Understanding the patterns and underlying mechanisms that come into play when employees exchange their knowledge is crucial for their work performance and professional development. Although much is known about the relationship between certain global network properties of knowledge-flow networks and work performance, less is known about the emergence of specific global network structures of knowledge flow. The paper therefore aims to identify a global network structure in blockmodel terms within an empirical knowledge-flow network and discuss whether the selected local network mechanisms are ab

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2

O'Brien, Richard. "Guest Editorial: The global network knowledge gap." Global Networks 3, no. 1 (2003): 1–7. http://dx.doi.org/10.1111/1471-0374.00047.

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3

Chen, Qingyi, Qinglan Qian, Zuolin Yao, Na Yang, Junyue Tong, and Yujiao Wang. "Global–Local Knowledge Spillover Strategic Coupling Network: Biopharmaceutical Industry Study of GBA, China." Sustainability 14, no. 21 (2022): 14607. http://dx.doi.org/10.3390/su142114607.

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Strategic coupling is a hot field in the research of global production networks. The existing literature mostly consists of studies from the perspective of countries, regions, and enterprises, and relatively lacks the content for describing global–local strategic coupling networks and their evolution path with industries as carriers. The GBA is a bridgehead for China to participate in the global production network. Based on the systematic construction of the strategic coupling network analysis framework of global–local knowledge spillovers, this paper, taking the biopharmaceutical industry of

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4

Lee, Eon-Seong. "Knowledge Acquisition in the Global Strategic Alliance Network." Journal of Navigation and Port Research 38, no. 3 (2014): 307–15. http://dx.doi.org/10.5394/kinpr.2014.38.3.307.

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5

Stone, Diane. "The “Knowledge Bank” and the Global Development Network." Global Governance: A Review of Multilateralism and International Organizations 9, no. 1 (2003): 43–61. http://dx.doi.org/10.1163/19426720-00901005.

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6

Spencer, J. W. "Global gatekeeping, representation, and network structure: a longitudinal analysis of regional and global knowledge-diffusion networks." Journal of International Business Studies 34, no. 5 (2003): 428–42. http://dx.doi.org/10.1057/palgrave.jibs.8400039.

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7

Marques, Leonardo, Tingting Yan, and Lee Matthews. "Knowledge Diffusion in a Global Supply Network: A Network of Practice View." Journal of Supply Chain Management 56, no. 1 (2019): 33–53. http://dx.doi.org/10.1111/jscm.12214.

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8

YOKURA, YUTAKA. "Global Network Formation and Knowledge Linkages by Japanese Firms." Geographical review of Japan series A 83, no. 6 (2010): 600–617. http://dx.doi.org/10.4157/grj.83.600.

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9

Zhang, Miao, Jiawei Wang, Kui Xiao, et al. "Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 2 (2025): 1638–46. https://doi.org/10.1609/aaai.v39i2.32156.

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Learning concept prerequisite relations helps better master and build a logically coherent knowledge structure. Many studies use graph neural networks to create heterogeneous knowledge networks that enhance concept representations. However, different types of relations in these networks can influence each other. Existing research often focuses solely on concept relations, neglecting other types of knowledge connections. To address this issue, this paper proposes a novel concept prerequisite relation learning model, named the Global Knowledge Relation Optimization Model(GKROM). Specifically, we

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10

Marques, Leonardo. "Sustainable supply network management." International Journal of Productivity and Performance Management 68, no. 6 (2019): 1164–90. http://dx.doi.org/10.1108/ijppm-12-2017-0329.

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Purpose The purpose of this paper is to scrutinise how the sustainable supply chain management (SSCM) literature has discussed knowledge dynamics across the extended supply network, particularly in the contemporary context of fragmented, globally dispersed supply networks. Design/methodology/approach A systematic approach to reviewing the literature is applied, covering 20 years, starting with 267 references, and narrowing down to 88 articles specifically addressing knowledge diffusion processes across the extended supply network. Findings This study shows that vertical ties limited to direct

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11

McCall, Grant S., Russell Greaves, Robert Hitchcock, Brian Ostahowski, Sherman W. Horn, and Muhammad I. Rehan. "The Estuarine Ecological Knowledge Network: Future Prospects." Marine Technology Society Journal 55, no. 3 (2021): 122–23. http://dx.doi.org/10.4031/mtsj.55.3.31.

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Abstract Estuaries are profoundly rich, diverse, and complex ecosystems, and crucial to the overall health of Earth's oceans. Estuarine ecological complexity is matched by tremendous human cultural diversity. In the United States, millions of people live in estuarine environments from the Gulf of Mexico to the Arctic—many of whom directly depend on the productivity of marine resources in both commercial and subsistence fishing activities. Yet, estuaries are also among Earth's most threatened landscapes against the backdrop of global warming, sea-level rise, agricultural and industrial pollutio

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12

Andersson, Svante, Natasha Evers, and Gabriela Gliga. "Entrepreneurial marketing and born global internationalisation in China." Qualitative Market Research: An International Journal 21, no. 2 (2018): 202–31. http://dx.doi.org/10.1108/qmr-11-2016-0115.

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Purpose This study aims to explore the entrepreneurial marketing (EM) behaviour of Swedish born globals entering the Chinese market through their international networks. Drawing from the network theory of small firm internationalisation, this study is positioned in the domain of EM, and thus captures the relevance of EM behaviour to explain how born globals internationalise through their networks. Design/methodology/approach A qualitative case study approach of two Swedish born global companies active in the Chinese market is used. The network theory helps analyse the data in the three phases

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13

Gui, Qinchang, Chengliang Liu, and Debin Du. "Does network position foster knowledge production? Evidence from international scientific collaboration network." Growth and Change 49, no. 4 (2018): 594–611. http://dx.doi.org/10.1111/grow.12263.

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14

Al-Khafaji, Rashaa Malik Musa. "The Impact of Historical Nodes and Links of The City on Adopting Knowledge Networks Strategy." Journal of University of Babylon for Engineering Sciences 26, no. 5 (2018): 115–34. http://dx.doi.org/10.29196/jub.v26i5.878.

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The city was formed historically as a node for human activities. Its formation depends on the resources and relations in areas of production and distribution; therefore, it was divided into special zones with different economic activities that depend on them (industrial, recreational, commercial, residential areas and other uses of land). The physical and functional features of the city reflected imposed social and digital systems. The Technological advances have expanded the role of knowledge in everyday life that established the concept of knowledge networks. This study deals with the

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15

Suh, Y. "A global knowledge transfer network: the case of Toyota's global production support system." International Journal of Productivity and Quality Management 15, no. 2 (2015): 237. http://dx.doi.org/10.1504/ijpqm.2015.067765.

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16

Coletta, Michela. "Embodying knowledge." Journal of Romance Studies 25, no. 1 (2025): 9–25. https://doi.org/10.3828/jrs.2025.2.

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Recent Global South perspectives understand the global extractive system as a monoculture resulting from a history of violent and unbalanced relations. By analysing the work of Aymara-Bolivian sociologist and activist-scholar Silvia Rivera Cusicanqui (b. La Paz 1949), this paper will argue that, by embedding human subjectivity within a network of dynamic relationships between the past and the future, Rivera Cusicanqui’s ecology of Andean knowledges makes it possible to envisage human history within a long-time framework of planetary history.

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17

Tharp, Marye, and Jaeseok Jeong. "Executive Insights: The Global Network Communications Agency." Journal of International Marketing 9, no. 4 (2001): 111–31. http://dx.doi.org/10.1509/jimk.9.4.111.19939.

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Cross-ownership of brand-name agencies, spin-offs of functional areas, and incorporation of nontraditional marketing communications services are the structural foundations of the global network communications agency. Global capabilities are the new criteria for managing agency–client partnerships. In response, agencies differentiate themselves, increase input, and assure clients of uniform decision-making processes across their network by using “branded” decision tools and agency–client intranets. The core competencies expected from the global network communications agency include brand-planni

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18

Gojayeva, Elmira, Shahla Huseynova, Saida Babayeva, Ulker Sadigova, and Reyhan Azizova. "Information Platforms and the Global Network Economy." SHS Web of Conferences 92 (2021): 04007. http://dx.doi.org/10.1051/shsconf/20219204007.

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Research background: The research investigates the formation of the intellectual elite; a radical modernization of the education system is necessary with the use of IT technologies and the introduction of innovations created on the basis of scientific achievements. The development of human capital is crucial for the transition from a traditional economy to a knowledge economy. Purpose of the article: The aim of the article is to show how human capital plays a very important role in the country’s economy, the knowledge that is concentrated in it, allows you to develop a knowledge economy - a ty

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19

McCall, Douglas S., Irving Rootman, and Dale Bayley. "International School Health Network: an informal network for advocacy and knowledge exchange." Promotion & Education 12, no. 3-4 (2005): 173–77. http://dx.doi.org/10.1177/10253823050120030121.

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In Canada, researchers, policy-makers and non-governmental organisations have re-conceptualized the school setting as being an ecological entity, linked to parallel ecologies of the homes and the community it serves. The school, public health and other systems that seek to deliver programs in that setting are open, loosely coupled and bureaucratic. This reconceived view of the school as a setting for health promotion leads to an emphasis on building organizational, system, professional and community capacity. One of the most effective ways of building such capacities when resources are scarce

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20

Stone, Diane. "Banking on Knowledge: The Genesis of the Global Development Network." Info - The journal of policy, regulation and strategy for telecommunications 4, no. 6 (2002): 61. http://dx.doi.org/10.1108/146366902320943002.

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21

Zheng, Zhenxing, Gaoyun An, Dapeng Wu, and Qiuqi Ruan. "Global and Local Knowledge-Aware Attention Network for Action Recognition." IEEE Transactions on Neural Networks and Learning Systems 32, no. 1 (2021): 334–47. http://dx.doi.org/10.1109/tnnls.2020.2978613.

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22

Doerr, Martin, and Dolores Iorizzo. "The dream of a global knowledge network—A new approach." Journal on Computing and Cultural Heritage 1, no. 1 (2008): 1–23. http://dx.doi.org/10.1145/1367080.1367085.

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23

Kurtoglu, Deniz, Tansel Yucelen, and Emre Yildirim. "Multiagent Networks with a Misbehaving Node: Control without the Knowledge of Global Network Objective*." IFAC-PapersOnLine 55, no. 13 (2022): 204–9. http://dx.doi.org/10.1016/j.ifacol.2022.07.260.

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24

Zhou, Bojun, Jiahao Zhao, Chunkai Yan, Xinsong Zhang, and Juping Gu. "Global and Local Knowledge Distillation Method for Few-Shot Classification of Electrical Equipment." Applied Sciences 13, no. 12 (2023): 7016. http://dx.doi.org/10.3390/app13127016.

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With the increasing utilization of intelligent mobile devices for online inspection of electrical equipment in smart grids, the limited computing power and storage capacity of these devices pose challenges for deploying large algorithm models, and it is also difficult to obtain a substantial number of images of electrical equipment in public. In this paper, we propose a novel distillation method that compresses the knowledge of teacher networks into a compact few-shot classification network, employing a global and local knowledge distillation strategy. Central to our method is exploiting the g

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25

Ding, Kaize, Yancheng Wang, Yingzhen Yang, and Huan Liu. "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 6 (2023): 7378–86. http://dx.doi.org/10.1609/aaai.v37i6.25898.

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Graph Contrastive Learning (GCL) has recently drawn much research interest for learning generalizable node representations in a self-supervised manner. In general, the contrastive learning process in GCL is performed on top of the representations learned by a graph neural network (GNN) backbone, which transforms and propagates the node contextual information based on its local neighborhoods. However, nodes sharing similar characteristics may not always be geographically close, which poses a great challenge for unsupervised GCL efforts due to their inherent limitations in capturing such global

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26

Ryan, Paul, Natasha Evers, Adele Smith, and Svante Andersson. "Local horizontal network membership for accelerated global market reach." International Marketing Review 36, no. 1 (2019): 6–30. http://dx.doi.org/10.1108/imr-03-2017-0061.

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Purpose The purpose of this paper is to explain how some born global firms can leverage the rich social capital in their local (home country) horizontal network for accelerated international market entry and growth. Horizontal networks warrant separate attention from their vertical counterparts, which, along with those focussed on external international contexts, dominate most network studies in the realm of born global research. Design/methodology/approach The study utilises a multi-level qualitative approach in the study of a multi-firm population of animators in Ireland that, due to the sma

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27

LANTZ, Jean-Sébastien, Delphine LACAZE, Eric BRAUNE, and Jean-Michel SAHUT. "Innovation in the Artificial Intelligence sector: An exploratory study of the structure of co-inventor networks." Management international 28, no. 6 (2024): 101–14. http://dx.doi.org/10.59876/a-es2g-vy4a.

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Through an analysis of the global co-inventor networks of the 30 most innovative companies in Artificial Intelligence (AI), this research provides three key contributions: 1) the two dimensions of co-inventor networks: “encapsulation of information and knowledge,” concerning the overall network structure, and “accessibility to information and knowledge,” related to the inventor’s position within the network; 2) geographic location influences the structure of these networks; 3) the most innovative companies strategically choose between these dimensions in a global competitive context. These fin

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28

Wu, Xiaobo, and Xuefeng Liu. "Absorptive capacity, network embeddedness and local firm's knowledge acquisition in the Global Manufacturing Network." International Journal of Technology Management 46, no. 3/4 (2009): 326. http://dx.doi.org/10.1504/ijtm.2009.023384.

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29

Sakata, Ichiro, Hajime Sasaki, Masanori Akiyama, Yuriko Sawatani, Naoki Shibata, and Yuya Kajikawa. "Bibliometric analysis of service innovation research: Identifying knowledge domain and global network of knowledge." Technological Forecasting and Social Change 80, no. 6 (2013): 1085–93. http://dx.doi.org/10.1016/j.techfore.2012.03.009.

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30

Read, Robyn. "Knowledge counts: Influential actors in the education for all global monitoring report knowledge network." International Journal of Educational Development 64 (January 2019): 96–105. http://dx.doi.org/10.1016/j.ijedudev.2017.11.006.

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31

Xu, Xiurui, and Shanwu Tian. "Should It Always Be Central? Substitution Effects of Multi-Network Embeddedness on Absorptive Capacity." Systems 13, no. 1 (2025): 20. https://doi.org/10.3390/systems13010020.

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In the knowledge economy, organizations embedded within large network systems enhance their capability to identify, acquire, assimilate, and effectively utilize external knowledge. Given the diversity and complexity of these networks, examining the factors that influence organizational absorptive capacity from a multi-network perspective is both essential and timely. However, how organizations can strategically allocate positions across different networks to enhance absorptive capacity remains unclear. Drawing on social network theory and the knowledge-based view, this study proposes that the

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32

Di, Yuna, Yi Zhou, Lu Zhang, Galuh Syahbana Indraprahasta, and Jinjin Cao. "Spatial Pattern and Evolution of Global Innovation Network from 2000 to 2019: Global Patent Dataset Perspective." Complexity 2022 (June 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/5912696.

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In the era of the knowledge economy, the improvement of national innovation systems is playing a significant role in the global entrepreneurship ecosystem. Entrepreneurs are accelerating international intellectual property applications to be competitive. What remains to be explored is the evolution of international intellectual property network in the globe. With the application of social network analysis and intellectual property application database, the global innovation network structure from 2000 to 2019 is explored. Results showed that (1) in the period 2000–2019, the global innovation n

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33

Haselip, James A., Thomas Hebo Larsen, Emmanuel K. Ackom, Gordon A. Mackenzie, and John M. Christensen. "Reflections on experience with the global network on energy for sustainable development as a South–South global knowledge network." Energy for Sustainable Development 36 (February 2017): 37–43. http://dx.doi.org/10.1016/j.esd.2016.11.002.

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34

HENNING, CHRISTIAN, and VOLKER SAGGAU. "NETWORKS, KNOWLEDGE SPILLOVERS AND TECHNOLOGICAL PROGRESS OF FIRMS: SIMULATIONS IN AN EVOLUTIONARY FRAMEWORK." International Journal of Innovation and Technology Management 10, no. 05 (2013): 1340018. http://dx.doi.org/10.1142/s021987701340018x.

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Following modern innovation theory, this paper analyses in an evolutionary framework the impact of information network structures on firms' absorptive capacities and induced realization of technological progress (t.p.) in a finite set of firms. Main results of simulation analyses are: (i) At the macro-level average speed of firms' realized t.p. depends on global network structures, i.e. a high local size and centralization, but a low clustering of a networks. (ii) Networks are only important if firms' direct R&D activities are moderately successful. (iii) A free-rider problem arises, i.e.

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35

Ratten, Vanessa, Joao Ferreira, and Cristina Fernandes. "Entrepreneurial and network knowledge in emerging economies." Review of International Business and Strategy 26, no. 3 (2016): 392–409. http://dx.doi.org/10.1108/ribs-11-2015-0076.

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Purpose The purpose of this paper is to examine how entrepreneurs in emerging economies use their knowledge to help create new businesses and increase their profitability in the international marketplace. Emerging economies are playing an increasingly important part in the global marketplace, particularly in terms of how they use knowledge-based resources and entrepreneurial networks. Design/methodology/approach The methodological approach of this paper is to analyse the entrepreneurial processes in emerging economies by using the Global Entrepreneurship Monitor (GEM) to evaluate whether the s

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36

Liu, Yuxuan, Zhiming He, Shuang Wang, et al. "Federated Subgraph Learning via Global-Knowledge-Guided Node Generation." Sensors 25, no. 7 (2025): 2240. https://doi.org/10.3390/s25072240.

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Federated graph learning (FGL) is a combination of graph representation learning and federated learning that utilizes graph neural networks (GNNs) to process complex graph-structured data while addressing data silo issues. However, during the local training of GNNs, each client only has access to a subgraph, significantly deteriorating performance. To address this issue, recent solutions propose completing the subgraph with pseudo graph nodes generated by a generator trained using the local subgraph. Despite their effectiveness, such methods may introduce biases as the local pseudo graph nodes

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37

Barreau, Jocelyne, Christelle Havard, and Angélique Ngaha Bah. "Global union federations and international framework agreements: Knowledge exchange and creation." European Journal of Industrial Relations 26, no. 1 (2019): 41–57. http://dx.doi.org/10.1177/0959680119834170.

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International Framework Agreements negotiated between Global Union Federations and multinational companies are a major innovation which bring collective bargaining to an international level. We focus on the role of the union negotiators and analyse two cases, drawing on studies of innovation processes in business organizations. We identify types of learning processes and the exchange and creation of knowledge, and examine relations inside international trade union networks. We find that two conditions are necessary to develop an innovatory role: international unions must coordinate exchanges b

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38

Yu, Yong, Shudong Chen, Rong Du, Da Tong, Hao Xu, and Shuai Chen. "MSEN: A Multi-Scale Evolutionary Network for Modeling the Evolution of Temporal Knowledge Graphs." Future Internet 15, no. 10 (2023): 327. http://dx.doi.org/10.3390/fi15100327.

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Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen. In particular, research on temporal knowledge graph reasoning holds great significance, as it can provide abundant knowledge for downstream tasks such as question answering and recommendation systems. Current reasoning research focuses primarily on interpolation and extrapolation. Extrapolation research aims to predict the likelihood of events occurring in future timestamps. Historical events are cruci

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39

Song, Jaeyong. "Evolution of Knowledge Sourcing and Creation Modes in the Global Network." korean management review 45, no. 4 (2016): 1069. http://dx.doi.org/10.17287/kmr.2016.45.4.1069.

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40

Herstad, Sverre J., Heidi Wiig Aslesen, and Bernd Ebersberger. "On industrial knowledge bases, commercial opportunities and global innovation network linkages." Research Policy 43, no. 3 (2014): 495–504. http://dx.doi.org/10.1016/j.respol.2013.08.003.

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41

Shivarajan, Sridevi, and Aravind Srinivasan. "The Poor as Suppliers of Intellectual Property: A Social Network Approach to Sustainable Poverty Alleviation." Business Ethics Quarterly 23, no. 3 (2013): 381–406. http://dx.doi.org/10.5840/beq201323326.

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ABSTRACT:We extend the Base of the Pyramid (BoP) poverty-alleviation approach by recognizing the poor as valuable suppliers—specifically of intellectual property. Although the poor possess huge reserves of intellectual property, they are unable to participate in global knowledge networks owing to their illiteracy and poverty. This is a crippling form of social exclusion in today’s growing knowledge economy because it adversely affects their capabilities for advancement at several levels. Providing the poor access to global knowledge networks as rightful participants—as suppliers of intellectua

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42

Khan, M. Imad, Yakov Frayman, and Saeid Nahavandi. "Knowledge Extraction from a Mixed Transfer Function Artificial Neural Network." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 3 (2006): 295–301. http://dx.doi.org/10.20965/jaciii.2006.p0295.

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One of the main problems with Artificial Neural Networks (ANNs) is that their results are not intuitively clear. For example, commonly used hidden neurons with sigmoid activation function can approximate any continuous function, including linear functions, but the coefficients (weights) of this approximation are rather meaningless. To address this problem, current paper presents a novel kind of a neural network that uses transfer functions of various complexities in contrast to mono-transfer functions used in sigmoid and hyperbolic tangent networks. The presence of transfer functions of variou

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43

Hu, Yanqing, Shenggong Ji, Yuliang Jin, Ling Feng, H. Eugene Stanley, and Shlomo Havlin. "Local structure can identify and quantify influential global spreaders in large scale social networks." Proceedings of the National Academy of Sciences 115, no. 29 (2018): 7468–72. http://dx.doi.org/10.1073/pnas.1710547115.

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Measuring and optimizing the influence of nodes in big-data online social networks are important for many practical applications, such as the viral marketing and the adoption of new products. As the viral spreading on a social network is a global process, it is commonly believed that measuring the influence of nodes inevitably requires the knowledge of the entire network. Using percolation theory, we show that the spreading process displays a nucleation behavior: Once a piece of information spreads from the seeds to more than a small characteristic number of nodes, it reaches a point of no ret

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Hosseini, Beheshti Moluksadat. "Morphology, Terminology and Knowledge Engineering." Farhangistan letter 11, no. 2 (2019): 159–76. https://doi.org/10.5281/zenodo.13987367.

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Knowledge engineering focuses on organizing scientific information, computer programming, and creating information networks. Organizing the naming of scientific concepts is considered one of the most important topics in the field of terminology, where "concept" is defined as a unit of technical knowledge. To outline the conceptual relationships of a specialized field, it is necessary to integrate the system of concepts of the related subfields into an overall structure. Based on this, specialized glossaries are developed and ultimately merged with one another. A meta-glossary is a type of over

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Koehler, Karl A. "Inducing phase transitions in local innovation networks: Implications for state economic development." Local Economy: The Journal of the Local Economy Policy Unit 32, no. 8 (2017): 854–66. http://dx.doi.org/10.1177/0269094217739370.

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States can undertake innovation system network-focused actions to enhance their entrepreneurial networks. Actions directed primarily at creating transitions in their innovation network structure include: identifying the components and connectivity of the innovation network (persons, entities, businesses, etc.) and communicating with the network; establishing intermediary organizations (academies, roundtables, councils, etc.); establishing interfacial organizations to enhance information diffusion; and creating and supporting an Informatics HUB to facilitate network functions. Actions to enhanc

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WU, XIAOBO, XUEFENG LIU, and JIAN DU. "LOCAL FIRM'S KNOWLEDGE ACQUISITION IN THE GLOBAL MANUFACTURING NETWORK: EVIDENCE FROM CHINESE SAMPLES." International Journal of Innovation and Technology Management 04, no. 03 (2007): 267–81. http://dx.doi.org/10.1142/s0219877007001119.

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The Global Manufacturing Network (GMN) is a new manufacturing system, which provides great opportunities for local firms in developing countries to acquire knowledge and upgrade capabilities through collaborations in the GMN. This paper hypothesizes that local firm's potential absorptive capacity has a positive impact on its knowledge acquisition in the GMN, and the association between them is moderated by network embeddedness. Using data from Chinese manufacturing firms, this paper confirms the hypothesis that local firm's potential absorptive capacity can contribute to its knowledge acquisit

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Li, Fei, Yan Chen, and Yipeng Liu. "Integration modes, global networks, and knowledge diffusion in overseas M&As by emerging market firms." Journal of Knowledge Management 23, no. 7 (2019): 1289–313. http://dx.doi.org/10.1108/jkm-03-2018-0204.

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Purpose This paper aims to examine how integration modes impact the acquirer knowledge diffusion capacity of overseas mergers and acquisitions (M&As) effected by emerging market firms and the role played by the global innovation network position of the acquiring firms in affecting this relationship. Design/methodology/approach Through the use of structural equation modelling and bootstrap testing, the hypotheses are tested by drawing upon a sample of 102 overseas M&As effected by listed Chinese manufacturing companies. Findings The results show that acquirers from emerging countries ar

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Suarez Estrada, Marcela. "Exploring tensions in knowledge networks: Convergences and divergences from social capital, actor-network theory and sociologies of the south." Current Sociology 65, no. 6 (2016): 886–908. http://dx.doi.org/10.1177/0011392116676298.

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Knowledge networks have been discussed as mechanisms that facilitate access to resources and information. They are noted as organizations that promote the generation of new contacts and interactions between actors in order to produce knowledge that increases the speed and reliability of communication. They are also understood as platforms that encourage learning and knowledge coordination in order to advance technoscientific innovation processes. Despite these benefits, knowledge networks can engender areas of tension. The article examines the tensions in knowledge networks by analysing the th

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Stöber, Lea F., Marius Boesino, Andreas Pyka, and Franziska Schuenemann. "Bioeconomy Innovation Networks in Urban Regions: The Case of Stuttgart." Land 12, no. 4 (2023): 935. http://dx.doi.org/10.3390/land12040935.

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For a successful transformation towards a sustainable bioeconomy, cooperative knowledge creation leading to innovations through research at the company and academic level are important. Urban regions are the centre of economic and research activities. The example of the region of Stuttgart, which aims to complement its mature industrial structure with new opportunities related to the knowledge-based bioeconomy, is an interesting case for the application of social network analysis to shed light on the dynamics of innovation networks to support the transformation of urban regions. As with smalle

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Radomsky, Guilherme Francisco Waterloo, and Ondina Fachel Leal. "From the production of rules to seed production: Global Intellectual Property and local knowledge." Vibrant: Virtual Brazilian Anthropology 9, no. 1 (2012): 451–72. http://dx.doi.org/10.1590/s1809-43412012000100015.

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This paper analyzes the links and overlappings between traditional knowledge and biodiversity in the context of ecological family farming in southern Brazil. The data presented are part of an ethnographic study carried out among a network of ecological farmers, Ecovida, in the west of Santa Catarina state. The current global patent regime, most prominently the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPs) of the World Trade Organization (WTO), has had direct effects on seed production and agricultural food crops. In a scenario of increasing creation of patents, pat

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