İş Süreçleri Yönetimi Konferanslarının İşbirliği Örüntüleri ve Konu Eğilimleri

Abstract

İş süreçleri yönetimi (İSY) araştırma girişimlerinin sunulduğu en önemli bilimsel etkinliklerden biri, 2003 yılından bu yana düzenlenen İSY Konferanslarıdır. Bu konferanslar, konunun farklı yönleri ile ilgili olarak alanın geleceğine rehberlik etmektedir. Bu çalışma, İSY konferanslarının oluşturduğu birikimli literatüre odaklanmaktadır ve bu bağlamda, yıllar boyunca takip edilen eğilimleri belirlemek için İSY konferans bildirileri portföyünü incelemeyi amaçlamaktadır. 2005 ile 2020 yılları arasındaki yayınların bibliyometrik veri seti çıkarılmış, alıntılar, ortak yazarlıklar, anahtar kelimelerin birlikte oluşumları ve konu yapılarının yanı sıra eğilimler ve özet istatistikleri ile ilgili işbirliklerini ve kümeleri ortaya çıkarmak için bilimetri ve bibliometri yöntemleri benimsenmiştir. Bu alanda belirli yazarlar etrafında kümelenmeler ortaya çıkmıştır. Bu yazarlar, BPM konusunda uluslararası çalışmalara yön veren, araştırma laboratuvarlarıyla pek çok araştırma ve geliştirme olanağı yaratmış öncü araştırmacılardır. Yazar ilişkilerinde var olan durum kurum ve ülke istatistiklerine de yansımaktadır. Farklı derinliklerde ve boyutlarda gerçekleştirilen anahtar kelime ve özet analizleri ile BPM Konferanslarında ele alınan konular hakkında çıkarımlar yapılmıştır. Yazar ve Ülkeler ile ilgili ortak yazarlık analizleri Van der Aalst (Hollanda), Mendling (Avusturya), Weske (Almanya), Dumas (Estonya), La Rossa (Avustralya), and Reijers (Hollanda) gibi araştırmacıların etrafında kümelenmelerin olduğunu ortaya çıkarmıştır. Son beş yılda yoğun bir şekilde kaydedilen anahtar kelimelerin endüstri 4.0, büyük veri, nesnelerin interneti, blok zinciri, bulut bilişim ve yapay zeka konuları etrafında yoğunlaştığı görülmüştür. Genel çerçevesiyle, son yıllarda özellikle, süreç madenciliği , süreçlerin semantik yapıları, süreç uygulaması geliştirme dilleri ve ilgili projeler gibi konuların ön plana çıktığı ve bu konuların ilgili dönemin iş ve teknoloji dinamiklerinden doğrudan etkilendiği gözlenmektedir.

Keywords

• Bilimetri
• Bibliometri
• İş Süreçleri Yönetimi Konferansları
• İşbirlikleri
• Konu Modelleme

Collaboration Patterns and Topic Trends in Business Process Management Conferences

Abstract

One of the most important scientific activities in which business process management (BPM) research attempts have been presented is the BPM Conferences that have been organized since 2003. These conferences guide the future of the field concerning different aspects of the subject. This study focuses on the accumulated literature that BPM conferences have constituted. In this regard, it aims to investigate the portfolio of BPM conferences to pinpoint the trends that have been followed over the years. A bibliometric dataset of the proceedings between 2005 and 2020 was extracted. The methods of scientometrics and bibliometrics are adopted to reveal the collaborations and clusters regarding citations, co-authorships, co-occurrences of keywords, and topic structures, the trends, and summary statistics. Clusters have emerged around certain authors and these authors are pioneering researchers who direct international studies on BPM and have created many research and development opportunities with their research laboratories. The situation in author relations is also reflected in the statistics of institutions and countries. With the keyword and abstract analyses at different depths and dimensions, inferences were made about the topics discussed at the BPM Conferences. Co-authorship analyses regarding authors and countries revealed the clusters around the authors and their countries such as Van der Aalst (Netherlands), Mendling (Austria), Weske (Germany), Dumas (Estonia), La Rossa (Australia), and Reijers (Netherlands). It has been observed that the keywords that have been recorded intensively in the last five years are concentrated around the topics of industry 4.0, big data, internet of things, blockchain, cloud computing, and artificial intelligence. In general terms, it has been observed that especially the topics such as process mining, semantic structures of processes, business process execution language, and related projects have come to the fore. Findings emphasize that these topics have been affected by the business and technology dynamics of the relevant period.

Keywords

• Scientometrics
• Bibliometrics
• Business Process Management Conferences
• Collaborations
• Topic Modelling

References

1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis, Journal of Informetrics, 11(4), 959-975.
2. Blei, D.M., & Lafferty, J.D. (2009). Topic models. Text Mining: Classification, Clustering, and Applications. Ashok Srivastava, Mehran Sahami (Eds.), 101-124. CRC Press. Taylor & Francis Group: Boca Raton. ISBN 978-1-4200-5940-3.
3. Blei, D.M., Andrew, Y.N., & Jordan, M.I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022.
4. Boyack, K.W. (2004). Mapping knowledge domains: characterizing PNAS. Proceedings of the National Academy of Sciences, 101(suppl 1), 5192-5199. doi: 10.1073/pnas.0307509100.
5. Burattin, A. (2015). Process mining techniques in business environments. In volume 207 of Lecture Notes in Business Information Processing. Springer International Publishing.
6. Chang, J.F. (2016). Business process management systems: strategy and implementation. Auerbach Publications. Taylor & Francis Group, ISBN 10: 0-8493-2310, USA.
7. Chaves, L.C., Ensslin, L., Andrade de Lima, M.V., & Ensslin S.R. (2017). Organizational performance evaluation and process management: mapping of the field. Revista Electronica De Estrategia E Negocios-Reen, 10(1), 100-141. doi: 10.19177/reen.v10e12017101-139.
8. Damar, M., Özdağoğlu, G., & Özveri, O. (2020). Bilimsel üretkenlik bağlamında dünya sıralama sistemleri ve Türkiye’deki üniversitelerin mevcut durumu. Üniversite Araştırmaları Dergisi, 3(3), 107-123.

9. Davenport, T. H. (1993). Process innovation: reengineering work through information technology. Harvard Business Press: Cambridge.
10. Dumas Lab (2021). Business Process Management Research Group, University of Tartu. Erişim adresi: https://www.researchgate.net/lab/Business-Process-Management-Research-Group-University-of-Tartu-Marlon-Dumas
11. Dumas, M., La Rosa, M., Mendling, J., & Reijers, H.A. (2018). Fundamentals of business process management. Heidelberg: Springer. ISBN 978-3-662-56508-7.
12. Ensslin, L., Ensslin, S.R., Dutra, A., Nunes, N.A., & Reis, C. (2017). BPM governance: a literature analysis of performance evaluation. Business Process Management Journal, 23(1), 71-86. doi: 10.1108/BPMJ-11-2015-0159.
13. Erdogan, T.G., & Tarhan, A. (2018). Systematic Mapping of Process Mining Studies in Healthcare. IEEE Access, 6, 24543-24567. doi: 10.1109/access.2018.2831244.
14. Garfield, E. (2009). From the science of science to scientometrics visualizing the history of science with HistCite software. Journal of Informetrics, 3(3), 173-179. doi:10.1016/j.joi.2009.03.009.
15. Ghobakhloo, M. (2018). The future of manufacturing industry: A strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910-936. doi:10.1108/jmtm-02-2018-0057.
16. Hammer, M. (2015). What is business process management?. In Handbook on business process management 1, 3-16. Springer, Berlin, Heidelberg. ISBN 978-3-642-00415-5, doi: 10.1007/978-3-642-00416-2.
17. Hammer, M., & Champy, J. (1993). Reengineering the Corporation: A Manifesto for Business Revolution. Paperback edition, HarperBusiness, New York.
18. Houy, C., Fettke, P., & Loos, P. (2010). Empirical research in business process management–analysis of an emerging field of research. Business Process Management Journal, 16(4), 619-661. doi: 10.1108/14637151011065946.
19. Jeston, J., & Nelis, J. (2008). Business process management. Oxford: Butterworth-Heinemann. https://doi.org/10.4324/9780080492520
20. Johanson, H.J., & Carr D.K. (1995). Best practices in reengineering. New York: Mc Graw Hill.
21. Khoshafian, S. (2014). Intelligent BPM: the next wave for customer-centric business applications. ISBN 978-0-615-51512-0. Pegasystems Inc. One Rogers St. Cambridge.
22. Kirchmer, M. (2011). High performance through process excellence: from strategy to execution with business process management. Springer Science & Business Media. ISBN 978-3-642-21164-5, e-ISBN 978-3-642-21165-2, doi: 10.1007/978-3-642-21165-2, Springer, Heidelberg Dordrecht London New York.
23. Ko, R. K. (2009). A computer scientist’s introductory guide to business process management (BPM). XRDS: Crossroads, The ACM Magazine for Students, 15(4), 11-18.
24. Melin, G., & Persson, O. (1996). Studying Research Collaboration Using Co-authorships. Scientometrics, 36(6), 363-377.
25. Mendling Lab (2021). Process Management and Information Systems, Humboldt-Universität zu Berlin. Erişim adresi: https://www.informatik.hu-berlin.de/en/forschung-en/gebiete/promis-en
26. Muellerleile, T., Ritter, S., Englisch, L., Nissen, V., & Joenssen, D.W. (2015, July). The influence of process acceptance on BPM: an empirical investigation. In 2015 IEEE 17th Conference on business informatics, 1, 125-132. IEEE.doi: 10.1109/CBI.2015.11.
27. Özdağoğlu, G., Damar, M., & Özdağoğlu, A. (2020a). The State of the art in blockchain research (2013–2018): scientometrics of the related papers in web of science and scopus. In Digital Business Strategies in Blockchain Ecosystems (pp. 569-599). Springer, Cham.
28. Özdağoğlu, A., Özdağoğlu, G., Topoyan, M., & Damar, M. (2020b). A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0. Technology Analysis & Strategic Management, 32(2), 158-174.
29. PAIS Lab (2021). Laboratory of Process-Aware Information Systems (PAIS Lab). Erişim adresi: https://pais.hse.ru/en/lab/staff/aalst
30. Patience, C.A., Blais, B., & Bertrand, F. (2017). Citation analysis of scientific categories. Information Science Heliyon, 3(5), e00300. doi: 10.1016/j.heliyon.2017, e00300.
31. Ponomariov, B., & Boardman, C. (2016). What is Co-authorship?. Scientometrics, 109(3), 1939-1963.
32. Rahimi, F., Møller, C., & Hvam L. (2016). Business process management and IT management: The missing integration. International Journal of Information Management, 36(1), 142-154. doi: 10.1016/j.ijinfomgt.2015.10.004.
33. Recker, J., & Mendling, J. (2016). The state of the art of business process management research as published in the BPM conference. Business & Information Systems Engineering, 58(1), 55-72. doi: 10.1007/s12599-015-0411-3.
34. Rohloff, M. (2009). Case study and maturity model for business process management implementation. In International Conference on Business Process Management, 128-142. Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-03848-8_10.
35. Sun, Y., Su, J., & Yang, J. (2016). Universal artifacts: a new approach to business process management (BPM) systems. ACM Transactions on Management Information Systems (TMIS), 7(1), 1-3. doi: 10.1145/2886104.
36. Tupa, J., & Steiner, F. (2019). Industry 4.0 and business process management. Tehnički glasnik, 13(4), 349-355. https://doi.org/10.31803/tg-20181008155243
37. Turra, M.E.D., Juliani, L.I., & Salla N.M.D.C. (2018). Business Process Management - BPM: A Bibliometric Study on National Scientific Production. Revista Administracao Em Dialogo, 20(3), 46-68. doi: 10.23925/2178-0080.2017v20i3.36961.
38. Van der Aalst, W.M.P. (2012) A decade of business process management conferences: personal reflections on a developing discipline. In: Barros AP, Gal A, Kindler E (eds) Business process management BPM2012. Lecture Notes in Computer Science, 7481,1-16. Springer, Heidelberg. doi: 10.1007/978-3-642-32885-5_1.
39. van der Aalst, W. M. P., La Rosa, M., & Santoro, F. M. (2016). Business process management. Business & Information Systems Engineering, 58(1), 1-6. https://doi.org/10.1007/s12599-015-0409-x
40. Van Der Aalst, W.M.P. (2011). Process mining: discovery, conformance and enhancement of business processes. Heidelberg: Springer. ISBN 978-3-642-19345-3.
41. van der Aalst, W.M.P., ter Hofstede, A.H.M., & Weske, M. (2003). Business process management: a survey. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 1-12. Springer: Heidelberg.
42. Van Eck, N., & Waltman, L. (2013). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:10.1007/s11192-009-0146.
43. Veit, D.R., Lacerda, D.P., Camargo, L.F.R., Kipper, L.M., & Dresch, A. (2017). Towards Mode 2 knowledge production: Analysis and proposal of a framework for research in business processes. Business Process Management Journal, 23(2), 293-328. doi: 10.1108/BPMJ-03-2016-0045
44. VOSviewer (2021). Visualizing scientific landscapes. Erişim adresi: http://www.vosviewer.com .
45. Wamba, S. F., & Mishra, D. (2017). Big data integration with business processes: a literature review. Business Process Management Journal, 23(3), 477-492.doi: 10.1108/BPMJ-02-2017-0047.
46. Weber, I., Xu, X., Riveret, R., Governatori, G., Ponomarev, A., & Mendling, J. (2016). Untrusted business process monitoring and execution using blockchain. In International Conference on Business Process Management (pp. 329-347). Springer, Cham.
47. Weske, M. (2012). Business Process Management. Springer, Berlin, Heidelberg. ISBN 978-3-642-28615-5.
48. Zupic, I., & Čater, T. (2015). BibliometricMethods in Management and Organization. Organizational Research Methods, 18(3), 429-472.