TY - GEN
T1 - InsERT
T2 - IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015
AU - Nguyen, Jennifer
AU - Sanchez-Hernandez, German
AU - Agell, Nuria
AU - Angulo, Cecilio
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/25
Y1 - 2015/11/25
N2 - The continued growth in enterprise social networks is fueled by the need to enable productivity and innovation. Reducing the constraints to communication and knowledge sharing of a globally distributed workforce, will facilitate the workflow. People finder systems are one of the main solutions in enterprise social networks which are reducing these constraints leading to time and cost savings. Finding expertise efficiently helps organizations to unlock knowledge within the enterprise, solve problems, and identify collaborators. However, the following challenges still exist: validating expertise, determining responsiveness and accessibility, and managing expert profiles. In this paper, we propose the fuzzy OWA technique as a novel approach to ranking candidates in expertise search. We consider its application in open innovation intermediaries where the search for partners and expertise is at the center of the business model. In addition, we demonstrate its application in a software tool (InsERT) as part of a larger enterprise social network implementation.
AB - The continued growth in enterprise social networks is fueled by the need to enable productivity and innovation. Reducing the constraints to communication and knowledge sharing of a globally distributed workforce, will facilitate the workflow. People finder systems are one of the main solutions in enterprise social networks which are reducing these constraints leading to time and cost savings. Finding expertise efficiently helps organizations to unlock knowledge within the enterprise, solve problems, and identify collaborators. However, the following challenges still exist: validating expertise, determining responsiveness and accessibility, and managing expert profiles. In this paper, we propose the fuzzy OWA technique as a novel approach to ranking candidates in expertise search. We consider its application in open innovation intermediaries where the search for partners and expertise is at the center of the business model. In addition, we demonstrate its application in a software tool (InsERT) as part of a larger enterprise social network implementation.
KW - Electronic mail
KW - Open wireless architecture
KW - Organizations
KW - Recommender systems
KW - Social network services
KW - Technological innovation
UR - http://www.scopus.com/inward/record.url?scp=84975721683&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2015.7337984
DO - 10.1109/FUZZ-IEEE.2015.7337984
M3 - Conference contribution
AN - SCOPUS:84975721683
T3 - IEEE International Conference on Fuzzy Systems
BT - FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems
A2 - Yazici, Adnan
A2 - Pal, Nikhil R.
A2 - Ishibuchi, Hisao
A2 - Tutmez, Bulent
A2 - Lin, Chin-Teng
A2 - Sousa, Joao M. C.
A2 - Kaymak, Uzay
A2 - Martin, Trevor
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 August 2015 through 5 August 2015
ER -