Towards a semi-automated approach for systematic literature reviews

Tim Denzler, Martin Robert Enders, Patricia Akello

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

Abstract

Given the growing output of scientific literature, researchers are faced with a daunting challenge when it comes to performing systematic literature reviews. Hence, the use of Information Systems to achieve operational excellence has gained increasing importance in systematic literature reviews. However, existing solutions to support systematic literature reviews are often restrained to a single aspect of the process or lack interoperability. As such, researchers may not be able to efficiently leverage recent promising advancements in Machine Learning and Text Analytics. Therefore, we developed a flexible and modifiable artifact that aims to support systematic literature review processes from a holistic point of view. We expect our artifact to be a first step towards semi-automation of systematic literature reviews, which will gain relevance in the near future, as the trend of rising scientific literature output is expected to continue. Our development process follows a Design Science Research approach including continuous evaluation.

Original languageEnglish
Title of host publication27th Annual Americas Conference on Information Systems, AMCIS 2021
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632584
StatePublished - 2021
Event27th Annual Americas Conference on Information Systems, AMCIS 2021 - Virtual, Online
Duration: Aug 9 2021Aug 13 2021

Publication series

Name27th Annual Americas Conference on Information Systems, AMCIS 2021

Conference

Conference27th Annual Americas Conference on Information Systems, AMCIS 2021
CityVirtual, Online
Period08/9/2108/13/21

Keywords

  • Automation
  • Design science
  • Information systems
  • Literature review
  • Machine learning
  • Text analytics

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