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Operations Management Research

Erschienen in:

02.07.2021

Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions

verfasst von: Mohamed M. Dhiaf, Osama F. Atayah, Nohade Nasrallah, Guilherme F. Frederico

Erschienen in: Operations Management Research | Ausgabe 3-4/2021

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Abstract

The journal of Operations Management Research (OMR) is a rigorous journal that started its publication in 2008. It publishes short, focused research studies that advance both the theory and practice of operations management. Considering the relevant OMR’s contribution to the field of Operations Management in the last years, this study provides an overall assessment of the journal performance by conducting a retrospective review. To elaborate on OMR's temporal development in terms of publications, authors, affiliated institutions and countries, citation patterns, and conceptual structure, we extract publications from Scopus database for the period 2008–2020. We rely on bibliometric techniques in addition to bibliographic coupling, keyword analysis, and content analysis. 166 documents were analyzed using RStudio, VOSviewer, and Microsoft Excel. Findings emphasize OMR’s steady productivity growth (3.24%). Narrowly, Olhager J. is the most productive authors while Kalchschmidt M. and Stentoft J. are the most influential authors (H-index of 4). Furthermore, USA contributes to the highest number of publications while UK is the most influential country in terms of citations. Cranfield School of Management, UK stands as the top cited university. The analysis of the thematic evolution concludes to three main clusters: "Manufacturing and Supply chain Performance", "Six Sigma and Lean Management", and "Reshoring, Backshoring and Offshoring". This study recommends to further investigate the implications of the fourth industrial revolution and the sequels of COVID-19.

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Query: ((SOURCE-ID (15,700,154,705)) AND TITLE-ABS-KEY("emerging information technolog*" OR "emerging technolog*" OR "Forth industr*" OR "industr* 4.0" OR "intelligenc*" OR "intelligent" OR "industry 4.0" OR "information system*" OR "machine learnin*" OR "deep learning*" OR "deep mining*" OR "fuzzy" OR "Fuzzy logic" OR "Big*data" OR "bigdata" OR "data*mining" OR "block*chain" OR "Blockchain" OR "Distributed Ledger Technology" OR "collaborative databases" OR "Natural Language Processing" OR "cognitive technologies" OR "augmented reality" OR "automat*" OR "Smart contracts" OR "busines* intelligen*" OR "cloud" OR "cloud*computing" OR "cognitive*" OR "Disruptive technology" OR "decision*support*" OR "digita*" OR "disruptive*technolog*" OR "electronic* accounting*" OR "electronic data interchang*" OR "EDI" OR "expert system*" OR "grid comput*" OR "image process*" OR "image recognit*" OR "industrial revolution*" OR "integrated application*" OR "integrated system*" OR "internet of things" OR "IOT" OR "neural network*" OR "neuro" OR "quantum comput*" OR "robotic*" OR "robots" OR "smart contract*" OR "text mining*")).

Query: ((SOURCE-ID (15,700,154,705)) AND TITLE-ABS-KEY ( "epidemic" OR "covid-19" OR "coronavirus" OR "corona-virus" OR "corona virus" OR "pandemic" OR "covid19")).

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Titel: Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions
verfasst von: Mohamed M. Dhiaf
Osama F. Atayah
Nohade Nasrallah
Guilherme F. Frederico
Publikationsdatum: 02.07.2021
Verlag: Springer US
Erschienen in: Operations Management Research / Ausgabe 3-4/2021
Print ISSN: 1936-9735
Elektronische ISSN: 1936-9743
DOI: https://doi.org/10.1007/s12063-021-00199-8

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