A Review of Empirical Operations Management Over the Last Two Decades

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. Because the relevant OMR's contribution to the field of Operations Management in the concluding years, this written report provides an overall cess 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 construction, we excerpt publications from Scopus database for the menstruation 2008–2020. We rely on bibliometric techniques in addition to bibliographic coupling, keyword analysis, and content assay. 166 documents were analyzed using RStudio, VOSviewer, and Microsoft Excel. Findings emphasize OMR'southward steady productivity growth (3.24%). Narrowly, Olhager J. is the virtually productive authors while Kalchschmidt Grand. and Stentoft J. are the almost influential authors (H-index of iv). Furthermore, U.s.a. contributes to the highest number of publications while U.k. is the well-nigh influential country in terms of citations. Cranfield School of Management, UK stands equally the top cited university. The analysis of the thematic evolution concludes to three chief clusters: "Manufacturing and Supply concatenation Operation", "Six Sigma and Lean Direction", and "Reshoring, Backshoring and Offshoring". This study recommends to farther investigate the implications of the fourth industrial revolution and the sequels of COVID-19.

Introduction

Operations inquiry and management science has amplified in the scientific customs since the official institution of the Operations Research Society of America (ORSA) in 1952, the Operational Enquiry Order (ORS) of the United kingdom in 1953 and The Institute of Management Sciences (TIMS) in 1953 (Merigó et al. 2019). Originally, it sought to cover the industrial and manufacturing methods and procedures (Buffa 1980), and has then expanded to permeate service systems and a myriad of functional organizational areas such as marketing, bookkeeping, purchasing/ logistics, information direction, engineering and human resources (Craighead and Meredith 2008). In as much, the field evolved with time and merged from relatively high reliance on mathematical techniques to more than sophisticated ones. Such diversely and wealthy discipline contributed to OR journals' surge that attracted many scholars and analysts. Amid them, Operations Management Research (OMR) that was launched as a hybrid and transformative journal aiming to publish original, loftier-quality research that are shorter and more sharply focused than existing Operational Management (OM) ones. The periodical started publication in 2008 in Springer New York 50.Fifty.C, U.s. and provided relevant contributions to the field of operations direction, being one of the most outlets sought by researchers. Its expansive and wealthy scope engendered many multidisciplinary approaches and robust conceptual integration such equally: "Industrial and Manufacturing Engineering", "Management of Technology and Innovation", "Management Sciences and Operations Enquiry" and "Strategy and management". Its current editors are Matteo Kalchschmidt, and Daniel A. Samson.

As OM is a functional field with enormous strides in the last decades, OMR flourished in both publication activities and citations. Though information technology is a young journal, it succeeded to be included in Thomson Reuters ISI Web of Knowledge in 2012 and managed to position itself well among the operations management journals, promoting research that is relevant to both practitioners and researchers (Olhager and Shafer 2018). This reflects its impactful presence and continual prominence as it is targeted by prolific researchers who kept on promoting its excellent intellectual base and disseminating knowledge. According to SCImago Journal Rank (SJR), this periodical is ranked 1.313 and has an H-index of 18. The best quartile for this journal is Q1 and its best quartile by subject area is Industrial and Manufacturing Engineering (Q1), Management of Engineering and Innovation (Q1), Management Sciences and Operations Research (Q1) and Strategy and management (Q1). OMR has total citations of iii,033. Its overall rank is 2,855 and its impact factor is v.95.

Factually, the publication quest to target elevation ranking journals is a major sticking point where mutual metrics are used to appraise overall periodical quality and detect the suitable niche. Periodical Bear on Factor (JIF) is 1 of the about used metrics. It is a measure of the frequency with which the average article in a journal has been cited in a particular yr. However, many journals/authors self-cite their own articles. Actuality, journal quality is assessed by three chief factors: commendation analysis, peer analysis (reviewer selection criteria), and circulation and coverage (international audience and electronic copies). Even so likewise the fact that such criteria should be collectively considered, scholars should account for other factors such equally: relative thickness and frequency of publication, co-authorship, thematic trends and co-occurrence, and acceptance/rejection rates.

In 2019 editorial, 14 hot topic areas were recommended in operations and supply concatenation management (O/SCM) that deserve scholars' attention and practical work (Samson and Kalchschmidt 2019). Much more, in 2020 editorial, Samson (2020) drew on major changes in O/SCM context and the consequential disruptions caused past COVID-xix as the pandemic result has touched macro and microeconomic levels. New mitigating strategies are proposed to reduce reliance on long international supply chains that lead to reconsider reshoring and other adventure mitigation strategies. Thus, the periodical transcendental and reversal changes are worth commenting and based to our cognition, prior studies to appraise OMR's performance are not conducted withal. In parallel, the emergence of scientific databases such every bit Scopus and Web of Science has facilitated the conquering of large information to pursue a complete bibliometric analysis in addition to the powerful software such equally VOS and Biblioshiny (R studio) that permit to objectively perform quantitative analysis to decipher and map the cumulative scientific cognition.

To cope with the above gaps, we conduct this study to analyze OMR history, benchmark it and highlight its operation. In this sense other studies were previously conducted in club to understand the journal development and provide readers with rich and valuable information (Rialp et al. 2019; Wang et al. 2019; Kumar et al. 2020a, b). Also, some specific areas have been thoroughly explored such as: Entrepreneurship (Moya-Clemente et al. 2021; Servantie et al. 2016); Knowledge Management (Zha et al. 2020; Noor et al. 2020); Operations Direction (Pilkington and Meredith 2018; Laengle et al. 2017; Liao et al. 2019; Caputo et al. 2019; Schulz and Nicolai 2015; Oliveira et al. 2018).

Therefore, our analysis aims to highlight OMR's high reputation and its extensive contribution where we draw on its influential affect, relevant insights, ongoing changes, future direction, and innovative methodologies. Information technology is an in-depth analysis of the annual citation structure and trend along with an inter-temporal analysis its focus and attempts to anticipate potential developments and new research paths. It provides insights into the journal's past, present and future trends by offering a retrospective assay of the periodical'due south content (Laengle et al. 2017). It addresses the following enquiry questions: (1) What is OMR publications and citations trend over the last thirteen years? (2) Which are OMR top-cited papers? (3) Who are the almost productive and influential authors, institutions, and countries? (4) What are OMR thematic patterns? (five) Which are the persistent, hot, and common cold topics?

Nosotros aim to achieve the following objectives: (i) shed low-cal on OMR major theoretical and empirical contributions, (ii) identify acme and most influential scholars in terms of journals, countries and affiliations, (3) describe co-authorship relations and collaboration status in order to highlight their preponderance to adjourn citation trends, (4) benchmark OMR to build its competitive capabilities in terms of engineering, quality, commitment, and productivity (Dertouzos et al. 1989; Hines et al. 1998), (5) provide hot topics and develop future directions in OR by revealing the current research trends and frontiers of various disciplines through keywords and co-citation analyses, (6) map and visualize results to take more intuitive presentation, and (7) pinpoint OMR disquisitional issues and motivational strategies to farther meliorate its ranking and visibility. Thus, this paper provides a comprehensive and broad review that encourages the scientific community and researchers in OR to engage in farther discussions.

Every bit the methodological support, we have used VOSviewer, R studio, and Microsoft Excel to derive insightful metrics to appraise OMR influential impact, criterion it relatively to peer periodical in the aforementioned field and analyze its performance and temporal development.

The organization of this paper is as follows. Section 2 introduces the report's methodology, while Sect. 3 reports the results, which are divided into three major parts (publication analysis, citation analysis and network analysis). Department four provides the content analysis of each cluster. Section five provides a future agenda and Sect. vi concludes to a summary of findings.

Methodology

The bibliometric analysis is gaining popularity as it is commonly used to clarify and evaluate the performance of scientific community in specific knowledge expanse (Barber and Mancall 1978; Bookstei 1979; Ferrante 1978). Information technology becomes a fundamental tool to weigh the research impact and draw patterns of scientific contribution. To track the evolution of OMR and to identify yearly trends, we apply quantitative analysis to facilitate our interpretation. The bibliometric analysis leverages the authors' ability to manage, analyze, and extract insights from massive information, including intellectual construction, influential actors and contributors, as well as authors (Zagos and Brad 2012), affiliations (Boardman 2008), countries (Rey-Martí et al. 2016) sources, (Loh and Venkatraman 1992), and references (Tang et al. 2020). In addition, bibliometric approach is helpful to accurately identify the quantitative and qualitative indicators to develop reliable and relevant knowledge structure (Fagerberg et al., 2012).

Specifically, in the domain of journals' performance analysis, the bibliometric analysis has been normally used in several studies to clarify unlike journals in various subject area; for case Finance (Baker et al. 2021; Linnenluecke et al. 2020; Paule-Vianez et al. 2020); Accounting (Martínez-Blasco et al. 2016; Muehlmann et al. 2015; Yamaguchi et al. 2015); Direction (Mishra et al. 2018), and Economical (Goyal et al. 2021).

To clarify OMR's operation, we consulted the Scopus database and extracted 166 published documents over xiii years (2008 to 2020). They consist of 149 manufactures, xvi editorials, and one erratum (Table 1). Despite that this data was manually refined and cleaned to avoid the risk of redundant author and affiliations names, it is still possible to accept some duplicated data due to diverse types of writings and spelling. The written report employs several bibliometric indicators to provide a comprehensive view and insightful analysis. First, the VOSviewer was employed to bear the mapping assay, bibliographic coupling, keyword co-occurrences assay, and co-authorship. VOSviewer is an efficient software that constructs and visualizes bibliometric networks for scientific actors, such equally authors, journals, affiliation, citations, countries and other aspects (Chygryn et al. 2020; Evans 2019; Ferasso et al. 2020). Second, R studio has been practical to analyze several aspects, including the conceptual structure, productivity, well-nigh influential scientific actors, Lotka's police force, and topics trend.

Along with descriptive analysis, the study identifies the thematic structure of the journal using bibliometric coupling analysis. Kessler (1963) proposes that documents citing an identical tertiary document tend to form a bibliographic couple and that bibliographic couples talk over similar intellectual themes (Martyn 1964).

The count of publications is the measure of productivity and the count of citations is the measure of influence (Kumar et al. 2020a, b). Specifically, nosotros have used "biblioshiny" packet, which consists of tools designed for quantitative studies in the field of both bibliometric and scientometrics. This parcel is helpful in converting the dataset into R format, carrying accurate bibliometric analysis, and developing matrices for various aspects, including co-citation, scientific actors' collaboration, words analysis, and multiple correspondence analyses. Third and finally, Microsoft Excel was used to develop editable figures and tables, and to verify several tests such equally citations, journal productivity, and affiliation production.

Results

Bibliometric data and analysis provide information on the scientific orientation and dynamism of a journal, and on its impact on both the national and the international community (Okubo 1997). It uses numerous parameters such as: (one) performance analysis and (2) sciences mapping. The operation analysis serves to draw journal constituents' functioning (authors, affiliations, and countries) while the sciences mapping addresses constituents' human relationship. The below function provides a thorough analysis of the journal productivity, performance, benchmarking, and citation analyses.

Performance assay and benchmarking

Benchmarking is an of import strategic tool that reflects a qualitative orientation toward journals operation. Information technology identifies hereafter research to attain a more systematic and quantitative analysis conducive to sharing a base of knowledge. Over the by thirteen years, OMR productivity noticeably grew and contributed to 166 articles in the operations management discipline with an emphasis on contemporary issues that enhanced the industry efficiencies. Information technology has an H-index of 28 which indicates that 28 papers accept each received 28 citations or more. This measure is useful because it considers both the quality and the quantity of a set of publications. OMR earned three,033 citations over 13 years and averaged 18.27 citations per document. The journal realized three.24% almanac growth rate over its lifespan which implicates a steady growth in the number of publications. Its collaboration index is 2.54 which suggests that each author cooperates with more than 2 authors to contribute a research work in the journal. It showcases the need for technical and scientific cooperation between scholars from unlike countries, universities, and backgrounds.

Distribution of publications over years

In this department, we provide a detailed overview of OMR temporal activity to measure the book and impact of OMR research over prolonged periods of time as a means of identifying trends. Figure 1 visualizes the yearly publication trend. At its early on showtime (2008–2012), the periodical witnessed a volatile productivity depicted in a meridian in 2010 (18 publications) and a trough in 2009 (8 publications). Over the subsequent 5 years (2013–2017), the publication trend was steady with an boilerplate of 11 publications per year. The last three years were remarkable as OMR productivity rate jumped by 71.43% (2018–2019) and then by 83.33% (2019–2020). The last yr (2020) was exceptional with a striking increase in OMR productivity that led to the publication of the third issue. Moreover, the average publication per issue ranges between 5 and eight. 2 exceptions are worth commenting. In 2010, the average publication per issue was the highest (9) while in 2018 this average was at its lowest level (3.5). 52% of total publication took place in the starting time issue publication while the remaining 48% are published in the second i.

Most relevant scientific actors (authors, affiliations, & countries)

The below section gathers a diversity of dimensional indicators that clarify the number of publications, citations, and authors production over fourth dimension. Table two shows the top 20 authors in terms of different metrics. The number of publications measures the academic contributions of OMR, the standard forms of influence and impact such as the h-index, one thousand-index, and m-index (Egghe and Rousseau 2006; Hirsch 2005). Broadly, the h-index (h) indicates h number of publications cited at least h times, the one thousand-index (g) accounts for the g number of highly cited publications receiving at to the lowest degree gtwo citations. While, h-alphabetize is independent of the appointment of an academic'southward career, the k-index aims at weighing the period of academic endeavor so to reduce the bias in favor of scientists with longer careers. Thus, ifnorth = number of years since the first published paper of the scientist, the grand-quotient = h-index/north. We also account for commendation per publication as the number of publications is a sign of condense productivity while the number of citations is an indicator of impactful influence. Olhager J. ranks first with 7 documents while Shafer S. ranks second with 5 documents. 5 publications for Olhager J. and Shafer Due south. are 5 editorials which explicate the low number of citations. The paper "Manufacturing backshoring: a systematic literature review" for Stentoft J., Olhager J., Heikkilä J., Thoms L. published in 2016 earned 65 citations at the fourth dimension we extracted the data. Although Holmstrm J, Kalchschmidt M. and Stentoft J. contributed to 4 papers each, they earned the highest H-index of 4. Distinctly, the height 20 authors approximately contributed to 36% of total publications.

From some other perspective, Neely A. stands as the most influential scholar among the top twenty authors with 719 citations and 359.fifty average citation per document. Vinelli A., Stentoft J. and Holmstrm J. ranked in the next positions with total citations of 122,121, and 116, respectively.

Moreover, Fig. 2 elaborates on the top twenty author's production over time where we closely find that Olhager J. published its first paper "Internal and external suppliers in manufacturing networks-An empirical analysis" in 2008, while the bigger node implicates higher contribution that stands for 2012 editorials. Shafer S. extensively contributed to OMR in 2012 and 2018 while Holmstrm J. contributed to OMR since 2012. Notably, the year 2012 retraces a wealth of contribution from the peak twenty authors. Every bit for Stentoft J. who stands one of the nigh influential scholars, he started publication in 2014 and concluded in 2016 with highly cited articles (bigger and darker node) which reverberate his highest H-alphabetize of four.

Furthermore, Lotka's law is used to make up one's mind the frequency of publication by authors in any given field (Talukdar 2015) (Tabular array iii). It predicts that minority of authors ordinarily publish the bulk of manufactures and that a loftier frequency rate is an indicator of authors' satisfaction to repeat their experience and publish with the same journal. The relative frequency distribution of author productivity is hyperbolic or follows an inverse square function, such that the minority of the authors are publishing the majority of the articles. More specifically, it states that the number of authors making "n" contribution is about 1/due north2 on those making 1 "C". The deviation of the observed part from the predicted inverse square function acts as a metric for the inequality in productivity of the field.

88.46% of OMR active authors published 1 single paper. Based on Lotka's law, the relative proportion of the authors that take published ii papers should have been 22.12% while 8.xc% of OMR scholars take published 2 papers. Though there is negative deviation, Pao (1985) proposed a generalization to observe both values (C and n), known equally distribution of generalized inverse power or Lotka'southward inverse-ability police.

On another scale, Table 4 highlights the top x universities in terms of publications. Wake Forest Academy, U.s. ranked at the summit with 12 articles followed by Lund University, Sweden and The Pennsylvania State Academy, U.s.a. that equally contributed to 7 publications each. Out of the top 10 performing universities, 60% are American and 20% are Swedish. Interestingly, Cranfield School of Management, UK is ranked equally top cited academy with 727 (23.97% of full citations) followed past the University of Cambridge, UK that earned 724 citations (23.87% of total citations). The top 10 universities have full 2,308 citations (76.10% of full citations). Out of the top 10 cited universities, 20% of the universities (UK) secured 62.86% citation while the remaining universities hold 37.13% citations. It is worth mentioning that United states stands as the leading correspondent in terms of publications whereas Great britain is the leading in terms of citations. In their bibliometric analysis of the "International Periodical of Logistics Research and Applications", Wang et al. (2019) establish that Cranfield School of Management is the most productive and influential university. This finding is grounded by the fact that the latter university is playing a pivotal role in the publication field in the areas of operation management and supply chain.

On a country level, Us contributed to the highest number of publications (68) followed past Italy (20), Sweden (fifteen) and United Kingdom (xv) as showed in Tabular array 5. The height iv ranking countries contributed to 71.08 % of total OMR publications. From the commendation perspective as UK topped the list with 1,003 citations that business relationship for 33.06 % of total citations. The states secured the second place (859) with 24% of full citations while Italy earned the third position (294). Uk and USA contributed to more than 61% of total citations.

In their bibliometric analysis of "The International Journal of Product Research", Wang and Dominicus (2019) emphasized how the journal gained prominence over time. More than 99 countries/regions contributed to shift the journal 'dependency from its height x authors to a wider assortment of authors. This fact has increased the journal ability to widen its scope of research and to expand the number of its authors.

Thus, OMR should initiate new policies to attract scholars from Asian countries to dilate its productivity and magnify its diversity. More specifically the periodical should coordinate with international universities to deport conferences and roundtables with marketplace analysts and policy makers. The editorial board tin can play a significant office in setting futurity guidelines and strategies for OMR path such as increasing the thickness of publication, widening the telescopic along with suggesting formal and informal market campaign. Samson (2020) suggested hot topics to be investigated in the future such as: the disruptive consequence of COVID-xix, the impact of ageing population and its impact on the labor market, supply chain and OM habits, the inequality among OECD and developing countries, modern slavery, the low involvement rates, manufacture 4.0 and digitalization event, run a risk and resilience, CSR/ESG and many interesting topics. This drew attention on the endeavor put past editors to concenter top scholars and the need to assess and study the new and disruptive changes in O/SCM trends and in other related functional areas.

Citation assay

Figure 3 shows the citation growth of the journal measured by the yearly citation and the accumulated citation indicators. The yearly citation swings from a high of 943 citations in 2008 to a low level over the terminal three-year periods where information technology plummeted to thirty, 55, and 45 in 2018, 2019 and 2020, respectively. Notably, OMR publications were specifically influential in 2016 with 422 earned. Though the accumulated yearly citations displayed an uptrend steady growth, the last three years record the lowest number of citations every bit such trends have been common beyond journals due to the fourth dimension specific nature of citations (Baker et al. 2020).

Table six provides an in-depth analysis of the yearly commendation tendency. Out the 166 total publications, 140 documents or 84.three% received at to the lowest degree 1 commendation. But 26 articles were non cited out of which there are five editorials and 22 articles published in 2020–2021. In the past few years, the total cites per publication (TC/TP) and total cites per cited publication (TC/TCP) were experiencing a downward trend. For example, in 2008, TC/TP was 62.9 which sharply dropped during the last three years and reached the lowest level (2 citations) in 2020. Similarly, TC/TCP depicted 67.4 in 2008 which cruel to v in the concluding two years 2019–2020. Indeed, the citations of the latest publications need time to accrue. Moreover, information technology is discernable that 86 articles or 61.43% were cited only from 1 to ix times, 47 manufactures 33.57% received 10–49 citations, half-dozen articles received l–99 citations while only one article received more than 100 citations. Effigy iv provides a clear reflection on the trend of published articles versus cited ones. It compares the number of total publications (TP) with the number of cited publications (TCP) where at the beginning (2008–2011), both indicators co-walked at approximately the same stride which indicates the equilibrium between OMR productivity and influential bear upon. The gap widened in 2020 where the number of cited manufactures (9) shrunk to twoscore.9% of total published ones (22). This latter finding is very normal since citations of recent publications demand time to accrue.

To investigate OMR influential publications, we extract the top fifteen papers in terms of yearly citations presented in Table 7. Neely's publication in 2008 titled "Exploring the financial consequences of the servitization of manufacturing" earned the highest citations per year. The second document (Holmström et al. 2016) titled "The direct digital manufacturing (r)evolution: definition of a research agenda" achieved the 2nd rank while the yearly citation of (Pont et al. 2009) publication "Interrelationships among lean bundles and their furnishings on operational functioning" earned 87 citations. In fact, there is some specific references that are almost oft cited past OMR articles. The most cited article is "Building Theories from Case Study Inquiry Published by: Academy of Management Stable" (6 citations) published by the "The Academy of Management Review" (Eisenhardt 1989). Likewise, "Offshoring, reshoring and the manufacturing location determination" published by the "Journal of Supply Concatenation Management" (Ellram 2013) was besides cited 6 times in OMR.

Table 8 show most frequently cited journals by OMR articles. The most cited periodical is the Journal of Operations Direction (Q1 and ABDC rating of A*) from which 560 articles were cited by OMR documents. Other impactful journals are the International Journal of Production Economics and The International Journal of Operations & Product Management from which 280 and 224 articles were respectively cited by OMR authors. This fact pinpoints the wealth of resource, and the high-quality journals OMR authors are relying on.

Table one OMR overview between 2008 and 2020

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Tabular array 2 Top xx Authors in terms of publications and citations

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Tabular array 3 The frequency of publication by authors

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Table four Top ten universities

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Tabular array 5 Acme 15 countries in terms of total publications

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Table 6 Annual number of OMR citations between 2008 and 2020

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Tabular array 7 The 15 virtually cited OMR manufactures past year betwixt 2008 and 2020

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Table 8 Top cited journals

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Network assay

The network analysis is extracted from VOSviewer software. It aims at developing the connectivity between keywords based on their occurrences. A total of 576 writer's keywords appears in OMR 166 documents with an average of three.47 per document. Effigy 5 shows that keywords are classified into three clusters. The ruddy cluster represents the impact of performance strategy and the purchasing on the sustainability and firm performance, and information technology is investigated through empirical studies and surveys. The second cluster in the blue ane which discusses the supply chain management in the reshoring, offshoring and backshoring and is mainly investigated in example studies and surveys. Finally, the green cluster tackles the supply chain and operation with regards to the six sigma, lean, and city logistics. Information technology is mainly investigated in the healthcare and hospitals. To capture deeper insights, we employ VOSviewer to visualize the time span for each topic, the lighter nodes signal more recent topics. Figure six conspicuously demonstrates that the oldest topics are emphasized in the areas of vi sigma, purchasing, quality, and performance. In 2013–2016, topics such equally "the manufacturing supply chain management and operational operation" gained popularity. While the most contempo topics focus on the reshoring, offshoring, operations strategies, city logistics, and sustainability. OMR structural and temporal themes serves to highlight persistent inquiry themes, common cold and hot ones. "Supply concatenation", "Operations management", "Operational functioning", "Efficiency" and "Strategy" are persistent themes. The journal calls for the accent of reshoring and relocating equally many multi- and transnational companies are rethinking near the supply chain system in disruptive times. Many analyses are worth studying such as top management resilience and agility in times of constraints and major events.

Likewise, the countries co-authorship was adult. Figure 7 presents that Us is the journal lead contributor within the carmine network that includes Sweden, Finland, Canada, and Republic of india. While Great britain is at the center of the dark-green network that includes China, Pakistan, Sultanate of oman, and Singapore. Lastly, Italian republic is at the center of the bluish network, which highlights the influential collaboration with other countries such every bit Australia, Spain, Kingdom of denmark, and Germany. The country collaboration network conveys a clear message on the necessity to account for other countries. Effigy 8 presents countries' network by seniority. The oldest network stands every bit Hong Kong, Switzerland, Taiwan, and Japan while the recent collaborative network includes Republic of india, Pakistan, Ghana, and United Arab Emirates. Present, there is a surge in research productivity coming from these latter countries and OMR should strategize the adjacent moves to capture wider areas that might positively curb its publication and lead to improve its benchmarking on the ABDC list.

Content assay

This section offers a general overview for the nature of topics discussed in OMR over its life. It includes keywords analysis, topics tendency, conceptual construction, and cluster word.

Keywords assay/topics trend

R studio is used to visualize the words deject, based on the authors' keywords in OMR published documents. The nearly frequent keywords (KW) are supply chain, reshoring, manufacturing, and empirical studies (Fig. 9). The yearly keywords trends retrace the themes path over the flow 2008–2020. While the hottest years for some specific themes are very apparent, the years of loss for some other topics are besides depicted. For case, the research in "Reshoring" theme soared betwixt 2015–2017 which matches the merits of Samson in his 2020 editorial note to revisit the reshoring topic and address the ensuing touch on of COVID-xix disruption.

Conceptual structure and clusters overview

We advanced our analysis and use R studio to reveal the main OMR clusters through conceptual structure. Figure x segregates the topics into three primary groups: "Manufacturing and supply chain performance" (pink), "Vi sigma and lean management" (blue) and "Reshoring, backshoring and offshoring" (green).

Cluster ane: manufacturing and supply chain operation

The first cluster is named "Manufacturing and Supply Concatenation Performance". It consists of 101 OMR publications accredited with 2,108 citations. It ranks get-go in terms of publications and citations (Fig. eleven). Every bit shown in the effigy higher up, the cluster is a conglomerate of iii sub-clusters that present views on performance, manufacturing, supply chain and operations management. Therefore, the topics represented in the cluster tend to focus on fundamental models such equally: assessing operation, managing supply chain, and manufacturing and operations management practices. Neely (2008) article titled "Exploring the financial consequences of the servitization of manufacturing" is the most cited (719) with an boilerplate cites per year (359.fifty). The author seeks to make full the gap in the literature by presenting empirical prove on the range and extent of servitization based on database of ten,028 firms incorporated in 25 different countries. Holmström et al. (2016) article ranks second (92 citations). Their piece of work offers a wealth of opportunities for production and process innovation and is oft touted to 'revolutionize' today'due south manufacturing operations and its associated supply chains structures. As such, we conclude that direct digital manufacturing volition increasingly challenge operations management researchers to question established practices such as scheduling, batch sizing and inventory management in low-volume, loftier-multifariousness contexts. Furthermore, an increasing adoption of directly digital manufacturing volition drive structural shifts in the supply chain that are not however well understood. We summarize these challenges past defining the research agenda at mill, supply chain, and operations strategy levels. Rolland et al. (2010) article occupies the 3rd slot with 63 citations in the cluster. The report proposes a conclusion-support organization for disaster response and recovery using hybrid meta-heuristics. Decision-support systems used in disaster management must cope with the complexity and uncertainty involved with the scheduling and assignment of differentially skilled personnel and avails to specific tasks. Other of import works in the cluster include Choi & Hwang (2015) article, cited 56 times, and Kuhn and Sternbeck (2013) article, cited 55 times.

Cluster ii: vi sigma and lean management

The second cluster is under the "Six Sigma and Lean Management". It consists of 42 OMR articles published between 2008 and 2020 (cited 617 times) (Fig. 12). It ranks 2d in the number of publications and citations. Major covered topics are process improvement, operations strategy, half dozen sigma hospital, lean management in healthcare, supply concatenation management, and service quality. Chakravorty (2009) article is the most influential in the cluster (87 citations). His paper is titled "Six Sigma failures: An escalation model" in which he describes a Vi Sigma failure in an electrical components company. The research contributes to both practice and theory equally it provides a new direction to academic research and has the potential to impact the theory of Six Sigma. It practically uncovers of import factors for the successful implementation of the Six Sigma and it theoretically reflects on its definition by pinpointing its commonalities and divergences. Langabeer et al. (2009) commodity is the second most influential piece of work in the cluster (73 citations). This article is a cross-exclusive analysis that relies on mixed research methods (survey questionnaire and semi-structured interviews). It aims to investigate the implementation of two quality-improvement methods (Lean and Six Sigma) in the context of hospitals. The research concludes to important findings about the impact of such methods on goal and value attainments in the healthcare industry. Robinson and Hsieh (2016) article is the third highly cited work in the cluster (42 citations). The study contributes to the emerging literature on reshoring by taking a value-driven enquiry into the renewal of supply chain strategy. It enhances the understanding of reshoring equally a irresolute business concern model. An iconic British high-end clothing brand, Burberry, is the chosen case study to explore its contempo motility towards reshoring while accounting for unlike metrics such as: change in leadership, business model and evolving supply concatenation strategy from 1997 to early 2016. These findings suggest that the renewal of supply concatenation strategy through reshoring and increasing control tin can enhance the firm value and competitiveness. The other influential works subsumed in the cluster include Lifvergren et al. (2010) article and Zeng et al. (2013) which are cited 38 times each, respectively. The kickoff written report presents key applications not earlier described in prior Six Sigma healthcare fields. However, the 2nd paper proposes a conceptual framework to study the relationships among iii dimensions of supply concatenation quality management (SCQM)—in-house quality management practices (internal QM), quality interaction with suppliers on the upstream side of supply chain (upstream QM), and quality interaction with customers on the downstream side of supply chain (downstream QM)—and their affect on 2 metrics of quality performance (conformance quality and customer satisfaction).

Cluster three: reshoring, backshoring and offshoring

The terminal cluster is called "Reshoring, Backshoring, and Offshoring". This cluster consists of 23 OMR articles cited 308 times, thus ranking third in terms of both publications and citations (Fig. 13). Cardinal topics deliberated in the cluster include reshoring, backshoring, location decisions, and captive offshoring. Stentoft et al. (2016) commodity is the most cited work (65 times) where they conduct a systematic review of all prior research related to backshoring of manufacturing and conclude to provide a research agenda for farther research. Bals et al. (2016) essay is the next well-nigh influential piece of work (cited 64 times). Information technology aims to clarify the decision-making processes related to ii distinct phenomena of reshoring and insourcing and present a conceptual framework of all theoretically possible reshoring and insourcing decisions. Ashby (2016) commodity, cited 42 times, is the third most influential piece of work in the cluster. He attempts to explore the effect of sustainability on reshoring strategy past studying the case of a UK-based clothing SME. Other of import works in the cluster include Joubioux and Vanpoucke (2016) article and Zhai et al. (2016) article, cited 31 times each, respectively.

Future agenda

This section addresses themes publication gap. Emergent topics such as the implication and consequences of the fourth industrial revolution and the influences of COVID 19 on the business concern practices and operation style are not even so extensively investigated in OMR. To address this upshot, we have separately carried ii queries on the Scopus database (Manufacture 4.0 and COVID nineteen).

Because the introduction of manufacture iv.0 in 2013 past the German government, this subject area has received significant attending from scholars, practitioners, policymakers, and governments. Manufacture four.0 advent has fostered several emerging technologies such as: Machine Learning (ML), Data Sciences, Cloud Computing, Robotic Systems, Bogus Intelligence (AI), and Internet of Things (IoT) (Dalenogare et al. 2018). These novel technologies prompt dramatic disruptions in the manufacturing and business practices: management style, concern environs, marketing, labor marketplace, competition surround, and customer beliefs (Maresova et al. 2018; Moll and Yigitbasioglu 2019). Accordingly, several studies are carried to explore and investigate the potential opportunities and challenges in unlike knowledge domains in the 4th industrial revolution era such as: Economic system (Goryachikh et al. 2020); Sustainability and Accounting (Meseguer-Sánchez et al. 2021); Industrial performance (Dalenogare et al. 2018); Business practices (Maresova et al. 2018) and Industrial practices (Zhang and Chen 2020).

Notwithstanding, OMR traces shy attempts in this knowledge area. We carry a query Footnote i on the industrial revolution terminologies from the Scopus database and limit our search to the OMR documents. The query concludes to x documents as shown in Table 9.

Table 9 OMR articles related to Industry iv.0

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Table x OMR articles related to COVID xix

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We as well carried a query to depict the contribution in the COVID 19 cognition expanse. Footnote 2 The query revealed eight papers distributed equally over 2020 and 2021. Novel coronavirus COVID-19 carried serious consequences to several aspects including human being and industries. The Oxford concern grouping examined the consequences of COVID-nineteen on the supply chain industry. The outcomes documented that the sector was severely affected due to a drop in population mobility and quarantine policy which led to a precipitous change in consumers behavior. Likewise, countries lockdown and airports and borders' closure placed a pregnant strain on the global supply chains (Elnahass et al. 2021; Shen et al. 2020). Interestingly, Yadav et al. (2020) examined the rule of Internet of Things (IoT) in overriding disasters such as COVID xix (Table 10). They plant that (IoT) enhances the efficiency of data sharing by supporting top management and leveraging their power to develop accurate and timely decisions.

Nosotros thus recommend OMR to encourage more publications relevant to the quaternary industrial revolution and to the sequels of COVID-19.

Decision

This study provides an in-depth analysis of OMR'south publications, annual citation structure and trend, and its intellectual development over the period 2008–2020. We have conducted a bibliometric assay where we drew on OMR influential touch on, ongoing changes, hereafter direction, and innovative methodologies. We were motivated past the fact that there is lack of discussion on hot topics and time to come directions based on keywords analysis.

Nosotros have used VOSviewer, R studio, and Microsoft Excel to derive insightful metrics to benchmark OMR relatively to peer journal in the aforementioned field and analyze its performance and temporal development. VOSviewer was used to bear out the mapping analysis, bibliographic coupling, keyword co-occurrences analysis, and co-authorship while R studio was practical to clarify the conceptual structure, productivity, nearly influential scientific actors, Lotka'south law, and topics trend.

Over the years, OMR published 166 articles Out of which, 140 documents or 84.three% received at least one citation. OMR has an H-index of 28 and earned 3,033 citations over 13 years with 18.27 as average citations per certificate. The journal achieved a steady productivity growth (iii.24%) over its lifespan.

Olhager J. was the nigh productive authors with 7 documents while Kalchschmidt M. and Stentoft J. were the near influential authors with an H-index of 4 and total citations of 116 and 121, respectively. Vinelli A. earned the highest citation per publication (40.67).

Cranfield School of Direction, Great britain was ranked as acme cited university with 727 (23.97% of total citations). The acme 10 universities had a total 2,308 citations (76.10% of total citations). Out of the top 10 cited universities, 20% of the universities (United kingdom) secured 62.86% commendation while the remaining universities concord 37.xiii% citations.

On a country level, United states contributed to the highest number of publications (68) followed by Italy (20), Sweden (15) and United Kingdom (xv). The elevation 4 ranking countries contributed to 71.08% of full OMR publications. From the citation perspective, Great britain topped the list with ane,003 citations that account for 33.06% of total citations. USA secured the second place (859) with 24% of total citations while Italy earned the 3rd position (294). U.k. and The states contributed to more than 61% of total citations.

Bibliographic coupling of articles reveals three major thematic clusters: Manufacturing and supply chain performance, reshoring, offshoring and backshoring and the half dozen sigma and lean direction. OMR accomplished excellence and remarkably positioned itself in the bookish and scientific world. It constantly attracted prolific researchers and kept on disseminating knowledge and enlightening researcher to explore the vast field of gimmicky management. In the end, we over again relied on bibliometric techniques and prepared two queries to investigate ii hot topics that are: Manufacture 4.0 and COVID-19. In improver, the inclusion of risk metric, the practicality to include preset operational buffers and the implication of top- direction resilience and agility in pandemic and extreme events would plant a main focal surface area for future research.

To better benchmark OMR, we concluded to the below remarks where OMR is invited to:

  • Revisit its telescopic as a ways to more include related functional areas.

  • Proceed to adhere to rigorous scholarly peer reviewing process.

  • Increase its publication thickness while maintaining its inherent quality of research.

  • Intensify its formal and informal marketing campaign.

  • Encourage scholars and countries collaborations.

  • Cooperate with government policymakers, market place analysts, and researchers to foster the practical emphasis of existing management theories that should be amalgamated to business relationship for the contempo disruptive events.

  • Foster forum discussions on the periodical platform.

  • Strategize the next moves to capture wider areas that might positively curb its publication and lead to meliorate its benchmarking on the ABDC list.

Fig. 1
figure 1

OMR's yearly publication by issue between 2008 and 2020

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Fig. 2
figure 2

The top 20 OMR authors' production over time

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Fig. 3
figure 3

OMR commendation growth betwixt 2008 and 2020

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Fig. iv
figure 4

Gap between total publications and total cited publications between 2008 and 2020

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Fig. 5
figure 5

Author keywords network of OMR articles

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Fig. 6
figure 6

Author keyword timeline of OMR commodity

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Fig. 7
figure 7

Network of countries affiliated with OMR

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Fig. viii
figure 8

Network of countries affiliated to OMR per twelvemonth

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Fig. 9
figure 9

OMR Keywords deject

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Fig. ten
figure 10

Conceptual Structure Map of OMR major themes

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Fig. 11
figure 11

Cluster i: Keyword cloud and yearly growth

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Fig. 12
figure 12

Cluster 2: Keyword cloud and yearly growth

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Fig. 13
figure 13

Cluster 3: Keyword cloud and yearly growth

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Availability of data and material

All data are included in the article.

Notes

  1. Query: ((SOURCE-ID (15,700,154,705)) AND Championship-ABS-Primal("emerging information technolog*" OR "emerging technolog*" OR "Forth industr*" OR "industr* 4.0" OR "intelligenc*" OR "intelligent" OR "manufacture 4.0" OR "information system*" OR "machine learnin*" OR "deep learning*" OR "deep mining*" OR "fuzzy" OR "Fuzzy logic" OR "Big*information" OR "bigdata" OR "information*mining" OR "block*chain" OR "Blockchain" OR "Distributed Ledger Technology" OR "collaborative databases" OR "Tongue 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 information interchang*" OR "EDI" OR "skilful system*" OR "grid comput*" OR "paradigm procedure*" OR "paradigm 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*")).

  2. Query: ((SOURCE-ID (fifteen,700,154,705)) AND Championship-ABS-Key ( "epidemic" OR "covid-19" OR "coronavirus" OR "corona-virus" OR "corona virus" OR "pandemic" OR "covid19")).

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Correspondence to Guilherme F. Frederico.

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Dhiaf, M.Thou., Atayah, O.F., Nasrallah, N. et al. 13 years of Operations Management Inquiry (OMR) journal: a bibliometric analysis and futurity inquiry directions. Oper Manag Res 14, 235–255 (2021). https://doi.org/10.1007/s12063-021-00199-eight

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  • DOI : https://doi.org/10.1007/s12063-021-00199-viii

Keywords

  • Periodical analysis
  • Operations management
  • Inquiry
  • Bibliometric
  • Scientometric
  • Research directions

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