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

Theresia V. Rampisela, Damayanti Elisabeth, Dana Indra Sensuse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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
Subtitle of host publicationHumanification of Reliable Intelligent Systems, ISITIA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages186-193
Number of pages8
ISBN (Electronic)9781728174136
DOIs
Publication statusPublished - Jul 2020
Event2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia
Duration: 22 Jul 202023 Jul 2020

Publication series

NameProceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

Conference

Conference2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
CountryIndonesia
CityVirtual, Online
Period22/07/2023/07/20

Keywords

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

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