A science mapping study on learning factories research

Pablo Martinez Rodriguez; Adriana Vargas-Martinez; Armando Roman-Flores; Rafiq Ahmad

doi:10.1016/j.promfg.2020.04.072

A science mapping study on learning factories research

Pablo Martinez Rodriguez, Adriana Vargas-Martinez, Armando Roman-Flores, Rafiq Ahmad^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

15 Citations (Scopus)

88 Downloads (Pure)

Abstract

Learning factories are a rising and promising environment for engineering education, training, and research. Practical interest in learning factories has peaked in recent years, attracting the worldwide attention of scholars and practitioners. This study conducts a scientometric review of the global research published since 1995 on learning factories, through co-citation, keyword and clustering analysis. A total of 367 journal papers and conference proceedings from the Scopus database were analyzed, to distinguish key publications and main research trends. By performing a mapping exercise, a detailed analysis of the learning factories’ literature enables academic support for future research. The provided results are used to identify the main areas of contribution of learning factories research and understand the potential gaps in current research.

Original language	English
Pages (from-to)	84-89
Number of pages	6
Journal	Procedia Manufacturing
Volume	45
Early online date	29 Apr 2020
DOIs	https://doi.org/10.1016/j.promfg.2020.04.072
Publication status	Published - Apr 2020
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

learning factories
manufacturing research
scientometric analysis
review

Access to Document

10.1016/j.promfg.2020.04.072Licence: CC BY-NC-ND

1-s2.0-S2351978920311148-mainFinal published version, 1.38 MBLicence: CC BY-NC-ND

Cite this

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title = "A science mapping study on learning factories research",

abstract = "Learning factories are a rising and promising environment for engineering education, training, and research. Practical interest in learning factories has peaked in recent years, attracting the worldwide attention of scholars and practitioners. This study conducts a scientometric review of the global research published since 1995 on learning factories, through co-citation, keyword and clustering analysis. A total of 367 journal papers and conference proceedings from the Scopus database were analyzed, to distinguish key publications and main research trends. By performing a mapping exercise, a detailed analysis of the learning factories{\textquoteright} literature enables academic support for future research. The provided results are used to identify the main areas of contribution of learning factories research and understand the potential gaps in current research. ",

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AU - Martinez Rodriguez, Pablo

AU - Vargas-Martinez, Adriana

AU - Roman-Flores, Armando

AU - Ahmad, Rafiq

PY - 2020/4

Y1 - 2020/4

N2 - Learning factories are a rising and promising environment for engineering education, training, and research. Practical interest in learning factories has peaked in recent years, attracting the worldwide attention of scholars and practitioners. This study conducts a scientometric review of the global research published since 1995 on learning factories, through co-citation, keyword and clustering analysis. A total of 367 journal papers and conference proceedings from the Scopus database were analyzed, to distinguish key publications and main research trends. By performing a mapping exercise, a detailed analysis of the learning factories’ literature enables academic support for future research. The provided results are used to identify the main areas of contribution of learning factories research and understand the potential gaps in current research.

AB - Learning factories are a rising and promising environment for engineering education, training, and research. Practical interest in learning factories has peaked in recent years, attracting the worldwide attention of scholars and practitioners. This study conducts a scientometric review of the global research published since 1995 on learning factories, through co-citation, keyword and clustering analysis. A total of 367 journal papers and conference proceedings from the Scopus database were analyzed, to distinguish key publications and main research trends. By performing a mapping exercise, a detailed analysis of the learning factories’ literature enables academic support for future research. The provided results are used to identify the main areas of contribution of learning factories research and understand the potential gaps in current research.

KW - learning factories

KW - manufacturing research

KW - scientometric analysis

KW - review

UR - https://www.scopus.com/pages/publications/85085524481

U2 - 10.1016/j.promfg.2020.04.072

DO - 10.1016/j.promfg.2020.04.072

M3 - Conference article

SN - 2351-9789

VL - 45

SP - 84

EP - 89

JO - Procedia Manufacturing

JF - Procedia Manufacturing

ER -

A science mapping study on learning factories research

Abstract

UN SDGs

Keywords

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