A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks

Andrade-Garda, Javier; Anguera, Áurea; Ares-Casal, Juan; García-Vázquez, Rafael; Lara, Juan-Alfonso; Lizcano, David; Rodríguez-Yáñez, Santiago; Suárez-Garaboa, Sonia

doi:10.1007/s10111-018-0483-1

Cited by 9 publications

(3 citation statements)

References 55 publications

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“…Relating to the trust between IS, to the well-being (territory) and to the sharing of skills and knowledge [34](Economy) [39] (Management) [40] (Computer science) [41] (Industrial management) [42] (Economy) [45] (Political science)…”

Section: Cognitivementioning

confidence: 99%

Collaborative Networks between Innovation Spaces

Pruvot

Dupont

Morel

2022

2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) &Amp; 31st International Associati

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The increase of the innovation spaces number on a territory makes them unstable and fragile. Indeed, several studies have shown that most of them are following the same "Death Valley" due to a dispersion of both the financial and human resources. This is why the hypothesis that creating collaborative networks considered as an inter-organizational alliance would make these places sustainable, was taken. Combining their variety of actors and competencies and their complementarity in materials and equipment's would allow producing greater innovations and impacts on a territory aligned with the major transitions we have to face today.Based on a review of the scientific literature, the trends about innovation spaces were identified and the start point of a collaborative framework was established. This start point correspond to four findings. The first one is the generic dimensions to characterize and evaluate the network performance. The second one is the five levels of collaboration and the six types of governance. The third is the identification of some key performance indicators to characterize a collaborative dynamic. The last one is the identification of emerging dynamic of collaboration between innovation spaces.

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Section: Cognitivementioning

confidence: 99%

Collaborative Networks between Innovation Spaces

Pruvot

Dupont

Morel

2022

2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) &Amp; 31st International Associati

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“…Trust management has been a classical topic in CN research. Various issues have been addressed, such as rational trust modeling, assessment, and management [82], trust monitoring [83], evaluation of the social dimension of trust [84], etc. With the emergence of new collaboration forms it also becomes important to pursue new approaches for trust management in relation to new business models.…”

Section: B) Further Addressing Of Trust Collaboration Benefits and Risksmentioning

confidence: 99%

The Evolution Path to Collaborative Networks 4.0

Camarinha-Matos

2021

IFIP Advances in Information and Communication Technology

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The last two decades have witnessed considerable boost in emergence of a networked society, reflecting the increasing growth in hyperconnectivity among the organizations, people, smart machines, and intelligent systems. This trend was enabled by advances in ICT and more specifically in computer networking. In this context, new forms of coworking and collaboration in networks, composed of distributed, autonomous, and heterogeneous entities have emerged, which first led to the formation of Collaborative Networks (CN) as a new discipline, and then followed by series of milestones leading to its gradual evolution.Nowadays CNs play a key role in the ongoing process of digital transformation in industry and services. Although it is relatively young, a number of "generations" can be identified through the last decades for the CN discipline.We are now at the beginning of what can be identified as the Collaborative Networks 4.0, characterized by features such as: hybridization in CNs, collaboration between humans and intelligent autonomous systems, collaborative distributed cognitive systems, reflecting on collaborative accountability, handling ethics and coping with risks and disruptions faced in CNs, managing large amounts of collaborative data, monetization of collaboration, creating a collaboration culture, supporting collaboration creativity, handling mass collaboration, and supporting collaborative value creation through new business models, among others.The IFIP WG 5.5, through its annual conference the PRO-VE, which is now in its 21st edition, has played a determinant role, along these two decades. It has contributed to shaping, promoting, and extending the CN research and development community and its practices; thus, consolidating this area, and identifying and introducing new directions and preserving it as an active research agenda.

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“…A number of different approaches to assess collaboration in CNs, namely a model for evaluating collaboration attributes in cluster-based companies [14], a study to examine CNs' effect on SMEs' business performance [7], and a method for the measurement of the social dimension of (cognitive) trust factors in CNs [15]; • Suggestions of using balanced scorecards and key performance indicators in CNs [16][17][18] and supply chain management [19][20][21];…”

mentioning

confidence: 99%

Assessment of Sustainable Collaboration in Collaborative Business Ecosystems

Graça

Camarinha-Matos

2021

Computers

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Advances in information and communication technologies and, more specifically, in artificial intelligence resulted in more intelligent systems, which, in the business world, particularly in collaborative business ecosystems, can lead to a more streamlined, effective, and sustainable processes. Following the design science research method, this article presents a simulation model, which includes a performance assessment and influence mechanism to evaluate and influence the collaboration of the organisations in a business ecosystem. The establishment of adequate performance indicators to assess the organisations can act as an influencing factor of their behaviour, contributing to enhancing their performance and improving the ecosystem collaboration sustainability. As such, several scenarios are presented shaping the simulation model with actual data gathered from three IT industry organisations running in the same business ecosystem, assessed by a set of proposed performance indicators. The resulting outcomes show that the collaboration can be measured, and the organisations’ behaviour can be influenced by varying the weights of the performance indicators adopted by the CBE manager.

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A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks

Cited by 9 publications

References 55 publications

Collaborative Networks between Innovation Spaces

Collaborative Networks between Innovation Spaces

The Evolution Path to Collaborative Networks 4.0

Assessment of Sustainable Collaboration in Collaborative Business Ecosystems

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