A Proposed Keyword Taxonomy for Operations Management Research
Purpose: To develop a controlled vocabulary of less than 30 terms that represents level 1 of a taxonomy for the field of operations management, integrating previous available work to improve efficiency in searching and retrieving scientific information in the area. Design/methodology/approach: A sy...
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| Format: | Article |
| Language: | English |
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OmniaScience
2025-01-01
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| Series: | Journal of Industrial Engineering and Management |
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| Online Access: | https://www.jiem.org/index.php/jiem/article/view/8701 |
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| author | Juan A. Marin-Garcia Julien Maheut Pilar I. Vidal-Carreras |
| author_facet | Juan A. Marin-Garcia Julien Maheut Pilar I. Vidal-Carreras |
| author_sort | Juan A. Marin-Garcia |
| collection | DOAJ |
| description | Purpose: To develop a controlled vocabulary of less than 30 terms that represents level 1 of a taxonomy for the field of operations management, integrating previous available work to improve efficiency in searching and retrieving scientific information in the area.
Design/methodology/approach: A systematic review of encyclopedias and glossaries in the field was conducted, mainly based on Hill (2012, 2019). The three authors employed an iterative process to define and validate the first-level terms, contrasting them with sources such as Gass & Fu (2013), Helms (2006), and the APICS thesaurus. Affinity diagrams were used to structure and relate the identified terms.
Findings: 20 top-level terms covering the main areas of operations management were identified and defined. The resulting taxonomy is available online (https://taxom.blogs.upv.es/). It provides a hierarchical structure that integrates the main concepts of the field, differentiating itself from previous work by focusing on relevance to research, education, and professional practice contexts.
Research limitations/implications: The thematic coverage of the proposed taxonomy requires further verification to ensure its comprehensiveness. Future research should focus on validating the taxonomy by applying it to a representative sample of articles within the field of operations management. This validation process will help confirm whether the first-level terms are robust and precise for effective categorisation and usability in academic and professional contexts.
Practical implications: The taxonomy facilitates scientific editorial management by providing a standardised list for selecting keywords in manuscripts and identifying reviewers' fields of expertise. It also improves the efficiency of mapping science studies and systematic reviews and enhances the visibility and accessibility of published research in operations management. |
| format | Article |
| id | doaj-art-731e7dfa58e947d4b7a28b3aebbbab18 |
| institution | Kabale University |
| issn | 2013-8423 2013-0953 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | OmniaScience |
| record_format | Article |
| series | Journal of Industrial Engineering and Management |
| spelling | doaj-art-731e7dfa58e947d4b7a28b3aebbbab182025-01-31T14:38:51ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532025-01-011811910.3926/jiem.8701776A Proposed Keyword Taxonomy for Operations Management ResearchJuan A. Marin-Garcia0Julien Maheut1Pilar I. Vidal-Carreras2DOE-ROGLE-Universitat Politècnica de ValènciaDOE-ROGLE-Universitat Politècnica de ValènciaDOE-ROGLE-Universitat Politècnica de ValènciaPurpose: To develop a controlled vocabulary of less than 30 terms that represents level 1 of a taxonomy for the field of operations management, integrating previous available work to improve efficiency in searching and retrieving scientific information in the area. Design/methodology/approach: A systematic review of encyclopedias and glossaries in the field was conducted, mainly based on Hill (2012, 2019). The three authors employed an iterative process to define and validate the first-level terms, contrasting them with sources such as Gass & Fu (2013), Helms (2006), and the APICS thesaurus. Affinity diagrams were used to structure and relate the identified terms. Findings: 20 top-level terms covering the main areas of operations management were identified and defined. The resulting taxonomy is available online (https://taxom.blogs.upv.es/). It provides a hierarchical structure that integrates the main concepts of the field, differentiating itself from previous work by focusing on relevance to research, education, and professional practice contexts. Research limitations/implications: The thematic coverage of the proposed taxonomy requires further verification to ensure its comprehensiveness. Future research should focus on validating the taxonomy by applying it to a representative sample of articles within the field of operations management. This validation process will help confirm whether the first-level terms are robust and precise for effective categorisation and usability in academic and professional contexts. Practical implications: The taxonomy facilitates scientific editorial management by providing a standardised list for selecting keywords in manuscripts and identifying reviewers' fields of expertise. It also improves the efficiency of mapping science studies and systematic reviews and enhances the visibility and accessibility of published research in operations management.https://www.jiem.org/index.php/jiem/article/view/8701information retrieval, information searching, classification schemes, semantics, controlled languages, operations management, knowledge organisation, search efficiency |
| spellingShingle | Juan A. Marin-Garcia Julien Maheut Pilar I. Vidal-Carreras A Proposed Keyword Taxonomy for Operations Management Research Journal of Industrial Engineering and Management information retrieval, information searching, classification schemes, semantics, controlled languages, operations management, knowledge organisation, search efficiency |
| title | A Proposed Keyword Taxonomy for Operations Management Research |
| title_full | A Proposed Keyword Taxonomy for Operations Management Research |
| title_fullStr | A Proposed Keyword Taxonomy for Operations Management Research |
| title_full_unstemmed | A Proposed Keyword Taxonomy for Operations Management Research |
| title_short | A Proposed Keyword Taxonomy for Operations Management Research |
| title_sort | proposed keyword taxonomy for operations management research |
| topic | information retrieval, information searching, classification schemes, semantics, controlled languages, operations management, knowledge organisation, search efficiency |
| url | https://www.jiem.org/index.php/jiem/article/view/8701 |
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