Characteristics of Expertise Locator System in Academia: A Systematic Literature Review

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

The ever-increasing need to find experts in academia contributes to the rise of Expertise Locator System (ELS) in academia. ELS can exist in the form of an expert search system or expert recommender system. Albeit the systems' common purpose of finding an expert, the existing ELS are different from each other in characteristics. There is a consideration, reason, and purpose why an ELS is created with specific characteristics. It is therefore essential to assess and review the characteristics of the system, before creating an ELS. By systematically reviewing recent articles using the Kitchenham method, this research identifies various type of characteristics, so that in the future, ELS in academia can be developed with these characteristics. This study has also identified and proposed seven new characteristics of ELS.

Original languageEnglish
Title of host publicationProceedings - 2020 International Seminar on Intelligent Technology and Its Application : Humanification of Reliable Intelligent Systems, ISITIA 2020
Number of pages8
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication dateJul 2020
Pages186-193
Article number9163671
ISBN (Electronic)9781728174136
DOIs
Publication statusPublished - Jul 2020
Externally publishedYes
Event2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia
Duration: 22 Jul 202023 Jul 2020

Conference

Conference2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
LandIndonesia
ByVirtual, Online
Periode22/07/202023/07/2020
SponsorIEEE Indonesia Section, Industrial Electronics Society Indonesia Chapter
SeriesProceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is supported by the Publikasi Terindeks Internasional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).

Funding Information:
National Natural Science Foundation of China

Funding Information:
This work is supported by the Publikasi Terindeks Internasional (PUTI) Prosiding Universitas Indonesia 2020 grant (NKB-873/UN2.RST/HKP.05.00/2020).

Publisher Copyright:
© 2020 IEEE.

    Research areas

  • characteristics, expert finder, expertise locator system, knowledge management, knowledge sharing system

ID: 320796470