Network Collaboration: Vertical and Horizontal Partnerships

Author(s):  
Andrew C. Lyons ◽  
Adrian E. Coronado Mondragon ◽  
Frank Piller ◽  
Raúl Poler
2021 ◽  
Vol 13 (4) ◽  
pp. 1637
Author(s):  
Xu Chen ◽  
Chunhong Liu ◽  
Changchun Gao ◽  
Yao Jiang

Industrial agglomeration serves as an effective model for developing the creative economy and manifests itself as the interdependence of creative subjects in geographical space. The traditional methods of resource agglomeration have undergone tremendous changes due to the development of digital technology. These transformations have given birth to a new organizational form of the virtual agglomeration of creative industries. The present work uses field interviews and grounded theoretical research methods to construct a theoretical model of this new organizational phenomenon. Questionnaire surveys and empirical testing using structural equation models are here combined to systematically analyze the formation mechanism of the virtual agglomeration of creative industries. The results show that digital technology, virtual platforms, digital creative talents, digitization of cultural resources, and government policies have driven the formation of the virtual agglomeration of creative industries. This has been achieved through network collaboration, freedom of participation, and trust guarantee mechanisms. The effect of emerging consumer demand on the virtual agglomeration of creative industries is not significant. In addition, the implications of this research are also considered and discussed.


2013 ◽  
Vol 798-799 ◽  
pp. 753-756
Author(s):  
Xing Li ◽  
Pin Wang

The network collaboration system refers to that the users in different locations can see and hear each other through the collaboration system, and can share and browse the text, video, web pages, etc., so as to achieve the purpose of joint work and joint learning. Based on the needs of this collaboration system, this system was studied and designed, the system was based on P2P bottom layer and designed different logical topologies under different collaborative application circumstances, and it designed the topology with the combination of mesh and tree structures according to the particularity of P2P live broadcast, moreover, regarding keys affecting the system performance, i.e. service node lookup, it proposed new algorithm and conducted the optimization.


2008 ◽  
Vol 39 (2) ◽  
pp. 203-219 ◽  
Author(s):  
Reijo Miettinen ◽  
Janne Lehenkari ◽  
Juha Tuunainen

2016 ◽  
Vol 6 (4) ◽  
pp. 140
Author(s):  
Tereza Raquel Taulois Campos ◽  
Marcus Vinicius de Araujo Fonseca ◽  
Bruna de Paula Fonseca e Fonseca ◽  
Edison de Oliveira Martins F

The demand for rare earths (RE) has been intensified by their large use, especially in high technology sectors. Supply difficulties have forced RE users to seek alternative sources and invest in the development of recycling technologies and options of reuse for these elements. This article seeks to reveal the trends and ongoing changes in national and global prospects of RE. Additionally, it aims to analyze scientific collaboration networks in the area of industrial solid waste (ISW) and waste electrical and electronic equipment (WEEE) exploitation in Brazil, examining both researchers and institutions with greater representation in the field. For this purpose, social network analysis methods were used to build and analyze co-authorship networks based on scientific publications retrieved from the Web of Science (WoS) database. The results showed that the Brazilian collaboration network of ISW research was extremely fragmented and contained 105 different groups, which were not connected to each other. The institutional network of ISW research was composed of 125 institutions, 75.2% of them from Brazil. The Brazilian collaboration network of research in WEEE was small (37 researchers), but fragmented: researchers were divided into eight different groups that do not connect to each other. The institutional network of research in WEEE was composed by 12 institutions, nine of them from Brazil. Therefore, this article presents a network collaboration model to bring together actors involved in the management of waste electrical and electronic equipment (WEEE), emphasizing the potential for recovery of RE from these wastes, with the purpose of developing products and services. 


2019 ◽  
Vol 26 (2) ◽  
Author(s):  
V. Higenell ◽  
R. Fajzel ◽  
G. Batist ◽  
P. K. Cheema ◽  
H. L. McArthur ◽  
...  

Immune checkpoint inhibitors have revolutionized care for many cancer indications, with considerable effort now being focused on increasing the rate, depth, and duration of patient response. One strategy is to combine immune strategies (for example, ctla-4 and PD-1/L1–directed agents) to harness additive or synergistic efficacy while minimizing toxicity. Despite encouraging results with such combinations in multiple tumour types, numerous clinical challenges remain, including a lack of biomarkers that reliably predict outcome, the emergence of therapeutic resistance, and optimal management of immune-related toxicities. Furthermore, the selection of ideal combinations from the myriad of immune, systemic, and locoregional therapies has yet to be determined. A longitudinal network-based approach could offer advantages in addressing those critical questions, including long-term follow-up of patients beyond individual trials.    The molecular cancer registry Personalize My Treatment, managed by the Networks of Centres of Excellence nonprofit organization Exactis Innovation, is uniquely positioned to accelerate Canadian immuno-oncology (io) research efforts throughout its national network of cancer sites. To gain deeper insight into how a pan-Canadian network could advance research in io combinations, Exactis invited preeminent clinical and scientific advisors from across Canada to a roundtable event in November 2017. The present white paper captures the expert advice provided: leverage longitudinal patient data collection; facilitate network collaboration and assay harmonization; synergize with existing initiatives, networks, and biobanks; and develop an io combination trial based on Canadian discoveries.


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