Assessing systematic literature review bias: Kaizen events in hospitals case study

Fernando Gonzalez Aleu, Francisco Flores, Jimena Perez, Roy Gonzalez, Jose Arturo Garza-Reyes

Resultado de la investigación


A systematic literature review (SLR) is a protocol used to identify publications, select relevant publications, collect data, conduct scientometric analyses, and report research results (SLR outcomes or findings). Despite the increasing use of SLR to assess the maturity or evolution of a research field, as Engineering Management, there are a limit number of publications focused to test SLR biases. Therefore, the purposes of this investigation are to test search field bias (precise SLR vs. sensitive SLR) and to identify statistically significant differences between SLR outcomes. In order to achieve these goals, a three steps methodology was used in three platforms/databases. First, a precise SLR in ProQuest (search terms only in abstract) was conducted to identify publications describing a single Kaizen event in a hospital. From these publications, five metrics were assessed: new authors per year, number of authors per paper, number of publications per year, Kaizen event duration (days), and number of tools used during the Kaizen event per paper. Second, a sensitive SLR in ProQuest (search term in full text) was conducted using the same search terms, exclusion criteria, and metrics from the first step. Third, t-test hypotheses were conducted in SPSS version 20 to identify statistically significant difference for each metric between precise SLR vs. sensitive SLR. The same three steps were used in two more platforms/databases: EBSCOhost and Scopus. Initial results from this ongoing investigation show statistically significant differences between precise SLR and sensitive SLR for some of the five metrics assessed, such as the number of publications per year. Final results will be available in November 2018.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the International Conference on Industrial Engineering and Operations Management
EditorialIEOM Society
Número de páginas6
ISBN (versión impresa)9781532359491, 9781532359514, 9781532359521
EstadoPublished - 2020
Evento10th Annual International IEOM Conference, IEOM 2020 - Dubai
Duración: 10 mar. 202012 mar. 2020

Serie de la publicación

NombreProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (versión digital)2169-8767


Conference10th Annual International IEOM Conference, IEOM 2020
País/TerritorioUnited Arab Emirates

All Science Journal Classification (ASJC) codes

  • Estrategia y gestión
  • Ciencia de la gestión e investigación de operaciones
  • Ingeniería de control y sistemas
  • Ingeniería industrial y de fabricación


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