scholarly journals Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

2013 ◽  
Vol 26 (11) ◽  
pp. 1066-1086 ◽  
Author(s):  
Carla Pereira ◽  
Cristovão Sousa ◽  
António Lucas Soares
2020 ◽  
Vol 12 (15) ◽  
pp. 6218
Author(s):  
Ricardo Santos ◽  
António Abreu ◽  
Ana Dias ◽  
João M.F. Calado ◽  
Vitor Anes ◽  
...  

Nowadays—and due to an increasingly competitive world—organizations need to collaborate in an open innovation context to be efficient and effective by achieving high levels of innovation with their products and services. However, the existing resources—as well as the innovation achieved from the diversity of partners involved—brings challenges to the management; in particularly with risk management. To fulfill such needs, risk management frameworks have been created to support managers, on preventing threats with systems development, although without properly account the influence of each system component, on the entire system, as well as the subjectivity within human perception. To account for these issues, a framework supported by fuzzy logic is presented in this work, to evaluate the risk level on system development in open innovation environment. The approach robustness is assessed by using a case study, where the challenges and benefits found are discussed.


2017 ◽  
Vol 122 ◽  
pp. 139-150 ◽  
Author(s):  
Reza Asadifard ◽  
Seyed Habiboallah Tabatabaeian ◽  
Jahanyar Bamdad Sofi ◽  
Mohammad Reza Taghva

2009 ◽  
Vol 29 (2) ◽  
pp. 125-136 ◽  
Author(s):  
Candice R. Hollenbeck ◽  
George M. Zinkhan ◽  
Warren French ◽  
Ji Hee Song

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1285-1304 ◽  
Author(s):  
Nazanin Vafaei ◽  
Rita A. Ribeiro ◽  
Luis M. Camarinha-Matos ◽  
Leonilde Rocha Valera

PurposeNormalization is a crucial step in all decision models, to produce comparable and dimensionless data from heterogeneous data. As such, various normalization techniques are available but their performance depends on a number of characteristics of the problem at hand. Thus, this study aims to introduce a recommendation framework for supporting users to select data normalization techniques that better fit the requirements in different application scenarios, based on multi-criteria decision methods.Design/methodology/approachFollowing the proposed approach, the authors compare six well-known normalization techniques applied to a case study of selecting suppliers in collaborative networks.FindingsWith this recommendation framework, the authors expect to contribute to improving the normalization of criteria in the evaluation and selection of suppliers and business partners in dynamic networked collaborative systems.Originality/valueThis is the first study about comparing normalization techniques for selecting the best normalization in dynamic multiple-criteria decision-making models in collaborative networks.


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