The evolution of the intellectual structure of operations management—1980–2006: A citation/co‐citation analysis
Abstract
Citation analysis combined with a network analysis of co‐citation data from three major operations management (OM) journals is used to reveal the evolution of the intellectual structure of the OM field between 1980 and 2006. This spans the entire time since the beginning of research journals specific to the field. Employing a bibliometric citation/co‐citation analysis to investigate the foundations of the discipline enables a robust, quantitative approach to uncovering the evolution of research in OM. The study finds that the intellectual structure of the field made statistically significant changes between the 1980s, the 1990s, and the 2000s and evolved from a pre‐occupation with narrow, tactical topics toward more strategic, macrotopics, including new research methods and techniques. A factor analysis identifies the 12 top knowledge groups in the field and how they change over the decades. Illustrations of the structure of the co‐citations representing the field are generated from a spring‐embedded algorithm that is an improvement over the standard multi‐dimensional scaling (MDS) approach to illustrating the knowledge groups.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The review used bibliometric and network analysis based on Pilkington and Meredith (2009).
“We used the bibliometric and network analysis for reviewing the literature based on Pilkington and Meredith (2009).”
From Big Data and supply chain management: A review and bibliometric analysis (2018) · cites this paper as Pilkington and Meredith (2009)
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CONFIGURING A SUPPLY CHAIN TO REDUCE THE COST OF DEMAND UNCERTAINTY
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Research in Operations Management
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MANUFACTURING STRATEGY ON THE “S” CURVE
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Meeting The Competitive Challenge
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An economic lot-sizing technique, I: The part-period algorithm
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HEURISTIC LOT‐SIZING PERFORMANCE IN A ROLLING‐SCHEDULE ENVIRONMENT*
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Various methods for the mapping of science
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Is production and operations management a discipline? A citation/co‐citation study
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Self-citationThe Relative Importance of Journals Used in Management Research: An Alternative Ranking
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An Algorithm for the Dynamic Lot-Size Problem with Time-Varying Production Capacity Constraints
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Minimizing mean absolute deviation of completion times about a common due date
Bagchi, U., Sullivan, R. S., & Chang, Y. L. (1986) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800330206 · Cited by 164 · see citing works
Labor and Machine Limited Production Systems
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Scheduling a Project to Maximize Its Present Value: A Zero-One Programming Approach
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Operations management research: an update for the 1990s
Pannirselvam, G. P., Ferguson, L. A., Ash, R. C., et al. (1999) · Journal of Operations Management · doi:10.1016/s0272-6963(99)00009-1 · Cited by 145 · see citing works
Project scheduling: The effects of problem structure on heuristic performance
Patterson, J. H. (1976) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800230110 · Cited by 143 · see citing works
The relative importance of journals used in operations management research A citation analysis
Vokurka, R. J. (1996) · Journal of Operations Management · doi:10.1016/s0272-6963(96)00092-7 · Cited by 141 · see citing works
Less Nervous MRP Systems: A Dynamic Economic Lot-Sizing Approach
Carlson, R. C., Jucker, J. V., & Kropp, D. H. (1979) · Management Science · doi:10.1287/mnsc.25.8.754 · Cited by 135 · see citing works
Gupta, S. K., Verma, R., & Victorino, L. (2006) · Production and Operations Management · doi:10.1111/j.1937-5956.2006.tb00256.x · Cited by 131 · see citing works
An investigation of due‐date assignment rules with constrained tightness
Baker, K. R., & Bertrand, J. W. (1981) · Journal of Operations Management · doi:10.1016/0272-6963(81)90014-0 · Cited by 130 · see citing works
The scheduling of activities to maximize the net present value of projects
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A review and classification of empirical research in operations management
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Operations management themes, concepts and relationships: a forward retrospective ofIJOPM
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Self-citationA management guide to PERT/CPM: With GERT/PDM/DCPM and other networks
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A classification and evaluation of research in operations management
Chase, R. B. (1980) · Journal of Operations Management · doi:10.1016/0272-6963(80)90006-6 · Cited by 115 · see citing works
A Citation Analysis of the Journal of Consumer research
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The operations management research agenda: An update
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Self-citationPRODUCTION/OPERATIONS MANAGEMENT: AGENDA FOR THE '80s*
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A manual method of production flow analysis
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Just‐In‐Time Production System: Some Requirements for Implementation
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Alternate methods of project scheduling with limited resources
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A Patrol Car Allocation Model: Background
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The potential of group technology for U.S. manufacturing
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HEURISTIC LOT‐SIZING AND SEQUENCING RULES IN A MULTISTAGE PRODUCTION‐INVENTORY SYSTEM
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Labor Flexibility in Multiechelon Dual-Constraint Job Shops
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A Simulation of Labor Efficiency and Centralized Assignment in a Production Model
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Co-citation Analysis of the Scientific Literature of Innovation Research Traditions
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Pearson's r and author cocitation analysis: A commentary on the controversy
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Production/Operations Management: Research Process and Content during the 1980s
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Dynamic Simulation of a Kanban Production Inventory System
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A capacity constrained single-facility dynamic lot-size model
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Service operations management: Research and application
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The genealogy of operations management
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Flagged first, then by citations
Cited by
Sorted by citations
Big Data and supply chain management: A review and bibliometric analysis
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- Authors
- Pilkington, A., & Meredith, J.
- Affiliations
- Royal Holloway University of London (GB)
- Wake Forest University (US)
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2008-08-20
- Volume
- 27
- Issue
- 3
- Pages
- 185-202
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2137174507
- Cited by
- 537
- References
- 193
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 30 · 2023: 47 · 2022: 37 · 2021: 54 · 2020: 52 · 2019: 46 · 2018: 44 · 2017: 32 · 2016: 32 · 2015: 26 · 2014: 23 · 2013: 27 · 2012: 29
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Operations Management (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- operations management, intellectual structure, research evolution, co-citation analysis, citation analysis, research trends
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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