SavedAdd your journal

Journals / Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2025 / Cilt: 43 Sayı: 4

The Historical Development of Business Process Management and Business Process Model And Notation: A Bibliometric Evaluation

İş Süreçleri Yönetimi ve İş Süreçleri Modelleme ve Notasyonu'nun Tarihsel Gelişimi: Bibliyometrik Bir Değerlendirme

Mustafa Kaya(ANKARA MEDİPOL ÜNİVERSİTESİ, İKTİSADİ, İDARİ VE SOSYAL BİLİMLER FAKÜLTESİ, YÖNETİM BİLİŞİM SİSTEMLERİ BÖLÜMÜ)0000-0002-3054-3108
Pages
758–781
Publication Date
2025-12-30
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Findings reveal that technologies such as process mining, artificial intelligence, big data analytics, and the Internet of Things represent strategically significant research themes. “Business process management,” “process mining,” and “BPMN” emerged as the most frequent keywords.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study outlines the current state and emerging trends in Business Process Management (BPM) and Business Process Model and Notation (BPMN) research in the digital era.
📊
Key Findings & Data:Originating with Smith, Taylor, Drucker, and Deming, BPM evolved from 1990s process reengineering to continuous improvement and ERP integration, and since the 2000s to a paradigm combining process modeling, automation, and refinement under digital transformation.
💡
Conclusion & Impact:Findings reveal that technologies such as process mining, artificial intelligence, big data analytics, and the Internet of Things represent strategically significant research themes. “Business process management,” “process mining,” and “BPMN” emerged as the most frequent keywords.
🔬Design:Review & Systematic Survey
📍Scope:2004–2025 Verileri
⚙️Variables:Yönetim · Yönetim Bilişim Sistemleri · BPM

Abstract

This study outlines the current state and emerging trends in Business Process Management (BPM) and Business Process Model and Notation (BPMN) research in the digital era. Originating with Smith, Taylor, Drucker, and Deming, BPM evolved from 1990s process reengineering to continuous improvement and ERP integration, and since the 2000s to a paradigm combining process modeling, automation, and refinement under digital transformation. The study examined 909 Scopus-indexed articles (2004–2025) via systematic review and bibliometric analysis of keyword frequency, thematic evolution, co-authorship networks, citation dynamics, and international collaboration. Findings reveal that technologies such as process mining, artificial intelligence, big data analytics, and the Internet of Things represent strategically significant research themes. “Business process management,” “process mining,” and “BPMN” emerged as the most frequent keywords. Europe, North America, and the Asia-Pacific dominate the geographic distribution. At the same time, citation network analysis highlights Marlon Dumas, Marcello La Rosa, Jan Mendling, and Wil van der Aalst as leading scholars. By providing a systematic perspective on BPM/BPMN’s historical development, current trajectories, and future research directions, this study offers methodological guidance for multidisciplinary investigations into digital transformation, process optimization, and innovation management.

Özet

Bu çalışma, dijital çağ bağlamında iş süreçleri yönetimi (BPM) ve iş süreçleri modelleme ve notasyonu (BPMN) alanlarında üretilen akademik çalışmaların mevcut durumunu ve eğilimlerini belirlemeyi amaçlamaktadır. Smith, Taylor, Drucker ve Deming’in erken dönem katkılarıyla şekillenen BPM disiplini; 1990’larda radikal süreç yeniden yapılandırma yaklaşımlarından sürekli iyileştirme ve kurumsal kaynak planlaması (ERP) entegrasyonuna, 2000’li yıllarda ise dijital dönüşümle süreç modelleme, otomasyon ve sürekli iyileştirmeyi bütünleştiren modern yönetim paradigmasına evrilmiştir. Scopus veri tabanında 2004–2025 döneminde dizinlenen 909 makale, sistematik ve bibliyometrik analiz teknikleri kullanılarak incelenmiştir. Analiz; anahtar kelime yoğunlukları, tema evrimi, ortak yazarlık ağları, atıf dinamikleri ve uluslararası iş birliği yapılarından oluşan beş boyutta yürütülmüştür. Bulgular, süreç madenciliği, yapay zekâ, büyük veri analitiği ve Nesnelerin İnterneti gibi yeni nesil teknolojilerin literatürde stratejik önem kazanan temalar olduğunu göstermektedir. “İş süreçleri yönetimi”, “süreç madenciliği” ve “BPMN” en sık rastlanan anahtar kelimeler olarak belirlenmiştir. Coğrafi dağılımda Avrupa, Kuzey Amerika ve Asya Pasifik bölgeleri baskın olurken; atıf ağı analizleri Marlon Dumas, Marcello La Rosa, Jan Mendling ve Wil van der Aalst’ın alanın en yüksek etkiye sahip araştırmacıları olduğunu ortaya koymuştur. Bu çalışma, BPM/BPMN literatürünün tarihsel gelişimini, güncel eğilimlerini ve gelecekteki araştırma alanlarını akademik topluluğa sistematik bir perspektifle sunmaktadır.

🔖

Cite This Article

Kaya, M. (2025). The Historical Development of Business Process Management and Business Process Model And Notation: A Bibliometric Evaluation. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 43 Sayı: 4, 758–781. https://doi.org/10.17065/huniibf.1661219

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (45)

  1. Adams, J. (2018). Information and misinformation in bibliometric time-trend analysis. Journal of Informetrics, 12(4), 1063–1071. https://doi.org/10.1016/j.joi.2018.08.009
  2. Ahmad, T., & Van Looy, A. (2020). Business process management and digital innovations: A systematic literature review. Sustainability, 12(17), 6827. https://doi.org/10.3390/su12176827
  3. AlRyalat, S. A. S., Malkawi, L. W., & Momani, S. M. (2019). Comparing bibliometric analysis using PubMed, Scopus, and Web of Science databases. Journal of Visualized Experiments, (152), Article e58494. https://doi.org/10.3791/58494
  4. Andrade, I. M. D., & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestão, 29(3), 238–251. https://doi.org/10.1108/REGE-07-2021-0120
  5. Armistead, C., Pritchard, J., & Machin, S. (1999). Strategic business process management for organisational effectiveness. Long Range Planning, 32(1), 96–106. https://doi.org/10.1016/S0024-6301(98)00130-7
  6. Aswathy, S., & Gopikuttan, A. (2015). Bibliometric observation of publication output of university teachers: A study with special reference to physics. Journal of Scientometric Research, 4(1), 14-20. https://doi.org/10.4103/2320-0057.156017
  7. Beerepoot, I., Van Looy, A., & Reijers, H. A. (2023). The biggest business process management problems to solve before we die. Computers in Industry, 146, 103837. https://doi.org/10.1016/j.compind.2022.103837
  8. Bernardo Junior, R., & de Padua, S. I. D. (2023). Toward agile business process management: Description of concepts and a proposed definition. Knowledge and Process Management, 30(1), 14–32. https://doi.org/10.1002/kpm.1737
  9. Beverungen, D., Müller, O., Matzner, M., Mendling, J., & vom Brocke, J. (2020). Seven paradoxes of business process management in a hyper-connected world. Business & Information Systems Engineering, 63(2), 145–156. https://doi.org/10.1007/s12599-020-00646-z
  10. Bornmann, L. (2013). The problem of citation impact assessments for recent publication years in institutional evaluations. Journal of Informetrics, 7, 722–729. https://doi.org/10.1016/j.joi.2013.05.002
  11. Broccardo, L., Truant, E., & Severgnini, B. (2023). Business processes management as a tool to enhance intellectual capital in the digitalization era: The new challenges to face. Journal of Intellectual Capital, 25(1), 60–91. https://doi.org/10.1108/JIC-04-2023-0070
  12. Deming, W. E. (1982). Out of the crisis. Massachusetts Institute of Technology, Center for Advanced Engineering Study.Deming, W. E. (1982). Out of the crisis. Massachusetts Institute of Technology, Center for Advanced Engineering Study.
  13. Drucker, P. F. (1954). The practice of management. Harper & Row.
  14. Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of business process management (2nd ed.). Springer. https://doi.org/10.1007/978-3-662-56509-4
  15. Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management. Springer.
  16. Else, H. (2020). How a torrent of COVID science changed research publishing—in seven charts. Nature, 588(7839), 553. https://doi.org/10.1038/d41586-020-03564-y
  17. Filipescu, D. A., Alexe, R., & Popa, S. (2013). Technological innovation and exports: Unpacking their reciprocal causality. Journal of International Marketing, 21(1), 23–38. https://doi.org/10.1509/jim.12.0099
  18. Fischer, M., Heinzl, A., & Müller, O. (2020). Strategy archetypes for digital transformation: Defining meta objectives using business process management. Information & Management, 57(5), 103262. https://doi.org/10.1016/j.im.2019.103262
  19. Gantt, H. L. (1919). Organizing for work. Harcourt, Brace and Howe.
  20. Gilbreth, F. B., & Gilbreth, L. M. (1917). Applied motion study: A collection of papers on the efficient method to industrial preparedness. Sturgis & Walton Company.
  21. Greener, S. (2022). Evaluating literature with bibliometrics. Interactive Learning Environments, 30(6), 1168–1169. https://doi.org/10.1080/10494820.2022.2118463
  22. Hung, R. Y.-Y. (2006). Business process management as competitive advantage: A review and empirical study. Total Quality Management & Business Excellence, 17(1), 21–40. https://doi.org/10.1080/14783360500249836
  23. Husaeni, D. F. A., & Nandiyanto, A. (2021). Bibliometric using VOSviewer with Publish or Perish (using Google Scholar data): From step-by-step processing for users to the practical examples in the analysis of digital learning articles in pre and post COVID-19 pandemic. ASEAN Journal of Science and Engineering. 2(1), 19–46. https://doi.org/10.17509/ajse.v2i1.37368
  24. Inmon, W. H. (2005). Building the data warehouse. John Wiley & Sons.
  25. Islam, M. M., & Fatema, F. (2023). Do business strategies affect firms’ survival during the COVID-19 pandemic? A global perspective. Management Decision, 61(3), 861–885. https://doi.org/10.1108/MD-11-2021-1456
  26. Khurana, P., Sharma, V., & Gupta, P. K. (2022). A comparative analysis of unified informetrics with Scopus and Web of Science. Journal of Scientometric Research, 11(2), 146–154. https://doi.org/10.5530/jscires.11.2.16
  27. Kimball, R., & Caserta, J. (2014). The data warehouse ETL toolkit: Practical techniques for extracting, cleaning, conforming, and delivering data. John Wiley & Sons.
  28. Kir, H., & Erdogan, N. (2021). A knowledge-intensive adaptive business process management framework. Information Systems, 95, 101639. https://doi.org/10.1016/j.is.2020.101639
  29. Koblianska, I., Kyrychenko, N., & Rogachevska, Y. (2023). Review of scientific literature on BPM concept in social sciences. Problems and Perspectives in Management, 21(3), 84–99. https://doi.org/10.21511/ppm.21(3).2023.07
  30. Kratsch, W., Weber, I., Mendling, J., & Andrews, K. (2017). Data-driven process prioritization in process networks. Decision Support Systems, 100, 27–40. https://doi.org/10.1016/j.dss.2017.02.011
  31. Markscheffel, B., & Schröter, F. (2021). Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies. COLLNET Journal of Scientometrics and Information Management, 15(4), 365–396. https://doi.org/10.1080/09737766.2021.1960220
  32. Mayo, E. (1933). The human problems of an industrial civilization. Macmillan.
  33. Mendling, J., Baesens, B., Bernstein, A., & Fellmann, M. (2017). Challenges of smart business process management: An introduction to the special issue. Decision Support Systems, 100, 1–5. https://doi.org/10.1016/j.dss.2017.06.009
  34. Myers, K. R., Tham, W. Y., Yin, Y., Cohodes, N., Thursby, J. G., Thursby, M. C., Schiffer, P., Walsh, J. T., Lakhani, K. R., & Wang, D. (2020). Unequal effects of the COVID-19 pandemic on scientists. Nature Human Behaviour, 4(9), 880–883. https://doi.org/10.1038/s41562-020-0921-y
  35. Pan, X., Yan, E., Cui, M., & Hua, W. (2018). Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools. Journal of Informetrics, 12(3), 481–493. https://doi.org/10.1016/J.JOI.2018.03.005
  36. Rosemann, M., & vom Brocke, J. (2015). The six core elements of business process management. In J. vom Brocke & M. Rosemann (Eds.), Handbook on business process management 1: Introduction, methods, and information systems (2nd ed., pp. 105–122). Springer. https://doi.org/10.1007/978-3-642-45100-3_5
  37. Singh, V. K., Kumar, A., & Dahiya, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113–5142. https://doi.org/10.1007/s11192-021-03948-5
  38. Small, H. (1973). Co‐citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. https://doi.org/10.1002/asi.4630240406
  39. Smith, A. (1776). An inquiry into the nature and causes of the wealth of nations. W. Strahan and T. Cadell. Taylor, F. W. (1911). The principles of scientific management. Harper & Brothers.
  40. Trkman, P. (2010). The critical success factors of business process management. International Journal of Information Management, 30(2), 125–134. https://doi.org/10.1016/j.ijinfomgt.2009.07.003
  41. Truong, B. Q., Nguyen-Duc, A., & Van, N. T. C. (2023). A quantitative review of the research on business process management in digital transformation: A bibliometric approach. Software, 2(3), 377–399. https://doi.org/10.3390/software2030018
  42. van der Aalst, W. M. P. (2013). Business process management: A comprehensive survey. ISRN Software Engineering, 2013, 1–37. https://doi.org/10.1155/2013/507984
  43. Van Looy, A. (2021). A quantitative and qualitative study of the link between business process management and digital innovation. Information & Management, 58(2), Article 103413. https://doi.org/10.1016/j.im.2020.103413
  44. Van Looy, A., & Poels, G. (2019). A practitioners’ point of view on how digital innovation will shape the future of business process management: Towards a research agenda. In Proceedings of the 52nd Hawaii International Conference on System Sciences (pp. 6448–6457). University of Hawai'i at Mānoa. https://hdl.handle.net/10125/60079
  45. vom Brocke, J., & Rosemann, M. (2015). Business process management. In C. L. Cooper, D. W. Straub, & R. Welke (Eds.), Wiley encyclopedia of management. John Wiley & Sons. https://doi.org/10.1002/9781118785317.weom070213