Review of scientific literature on BPM concept in social sciences
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DOIhttp://dx.doi.org/10.21511/ppm.21(3).2023.07
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Article InfoVolume 21 2023, Issue #3, pp. 84-99
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The business process management (BPM) approach enhances organizational competitiveness and facilitates digital business transformations. Successful implementation of BPM necessitates a comprehensive understanding of its conceptual foundations and developmental trajectory. This study aims to investigate BPM studies in social sciences, unraveling the evolution and main pillars of the BPM concept. The research methodology comprises a bibliometric analysis of 95 articles indexed in the Web of Science Core Collection from 1997 to 2023 using the Biblioshiny App, followed by a narrative literature review of the most highly cited publications.
The results unveil a notable shift in BPM research to information technologies, reflecting an interdisciplinary nature of the BPM concept (going beyond management itself). However, the analysis indicates that BPM research in social sciences tends to be specialized and localized, characterized by limited collaboration among scholars, research teams, institutions, and countries. The study identifies a diverse range of relevant research topics encompassing the maturity concept, business process, process orientation, process performance, success factors, and data and knowledge management. Process modeling and improvement emerge as central but underexplored areas, while strategic management, complexity theory, and organizational processes display declining thematic trends. The most frequently cited research papers primarily focus on enriching BPM practices through integrating digital tools and innovations, emphasizing the role of organizational culture in facilitating BPM implementation and investigating the relationship between BPM and supply chain integration and performance.
Acknowledgment
This study is funded by a grant, “Restructuring of the national economy in the direction of digital transformations for sustainable development” (№0122U001232) (Inna Koblianska’s contribution).
- Keywords
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JEL Classification (Paper profile tab)Y50, M10, M15, L20
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References36
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Tables3
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Figures10
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- Figure 1. Annual scientific production
- Figure 2. Three-field plot: institutions (AU_UN) – authors (AU) – author’s keywords (DE)
- Figure 3. Authors’ production over time
- Figure 4. Social structures: authors and institutions collaboration
- Figure 5. Documents’ co-citation network map
- Figure 6. Clusters by documents coupling by references (labels by authors’ keywords)
- Figure 7. Word cloud by word’s frequency (stop words and synonyms lists applied)
- Figure 8. Word co-occurrence network map by abstracts’ unigrams (stemming, stop words, and synonyms lists applied)
- Figure 9. Thematic map by abstracts bigrams (stemming, stop words, and synonyms lists applied)
- Figure 10. Trend topics by abstracts unigrams (stemming, stop words, and synonyms lists applied)
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- Table 1. Lists of stop words and synonyms uploaded to Biblioshiny App
- Table 2. Descriptive data for the bibliographic collection
- Table 3. The top ten cited papers in the collection by a number of annual global citations
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- Abdulkader, B., Magni, D., Cillo, V., Papa, A., & Micera, R. (2020). Aligning firm’s value system and open innovation: A new framework of business process management beyond the business model innovation. Business Process Management Journal, 26(5), 999-1020.
- Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
- Binci, D., Belisari, S., & Appolloni, A. (2020). BPM and change management: An ambidextrous perspective. Business Process Management Journal, 26(1), 1-23.
- Battisti, E., Shams, S. M. R., Sakka, G., & Miglietta, N. (2020). Big data and risk management in business processes: Implications for corporate real estate. Business Process Management Journal, 26(5), 1141-1155.
- Bititci, U. S., Ackermann, F., Ates, A., Davies, J., Garengo, P., Gibb, S., MacBryde, J., Mackay, D., Maguire, C., van der Meer, R., Shafti, F., Bourne, M., & Umit Firat, S. (2011). Managerial processes: Business process that sustain performance. International Journal of Operations & Production Management, 31(8), 851-891.
- Bucher, T., & Winter, R. (2010). Taxonomy of Business Process Management Approaches. In J. vom Brocke & M. Rosemann (Eds.), Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture (pp. 93-114). Springer.
- Chatterjee, S., Ghosh, S. K., & Chaudhuri, R. (2020). Knowledge management in improving business process: An interpretative framework for successful implementation of AI–CRM–KM system in organizations. Business Process Management Journal, 26(6), 1261-1281.
- Couckuyt, D., & Van Looy, A. (2020). A systematic review of green business process management. Business Process Management Journal, 26(2), 421-446.
- Del Giudice, M., Soto-Acosta, P., Carayannis, E., & Scuotto, V. (2018). Emerging perspectives on business process management (BPM): IT-based processes and ambidextrous organizations, theory and practice. Business Process Management Journal, 24(5), 1070-1076.
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
- Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Introduction to business process management. In M. Dumas, M. La Rosa, J. Mendling, & H. A. Reijers (Eds.), Fundamentals of Business Process Management (pp. 1-33). Springer.
- 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.
- Entringer, T. C., Ferreira, A. da S., & Nascimento, D. C. de O. (2021). Comparative analysis of the main business process modeling methods: A bibliometric study. Gestão & Produção, 28(2), e5211.
- Hammer, M. (2007, April). The Process Audit. Harvard Business Review.
- Helbin, T., & Van Looy, A. (2021). Is business process management (BPM) ready for ambidexterity? Conceptualization, implementation guidelines and research agenda. Sustainability, 13(4), 1906.
- 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.
- Iritani, D. R., Morioka, S. N., Carvalho, M. M. de, & Ometto, A. R. (2015). Analysis of business process management theory and practices: Systematic literature review and bibliometrics. Gestão & Produção, 22(1), 164-180.
- Kalachevska, L., Koblianska, I., & Holzner, J. (2022). Concept and measurement of the food system sustainability: A bibliometric research. Scientific Horizons, 25(1), 104-119.
- Klun, M., & Trkman, P. (2018). Business process management – At the crossroads. Business Process Management Journal, 24(3), 786-813.
- Koblianska, I., Varakin, D., Pihul, O., Somushkin, V., & Glukh, V. (2023). Business process management concept. Bibliographic collection from Web of Science (March 21, 2023). [Data set]. Zenodo.
- Lizano-Mora, H., Palos-Sánchez, P. R., & Aguayo-Camacho, M. (2021). The evolution of business process management: A bibliometric analysis. IEEE Access, 9, 51088-51105.
- Maldonado, M. U., Leusin, M. E., de Albuquerque Bernardes, T. C., & Vaz, C. R. (2020). Similarities and differences between business process management and lean management. Business Process Management Journal, 26(7), 1807-1831.
- Melnyk, L., Matsenko, O., Kubatko, O., Korneyev, M., & Tulyakov, O. (2022). Additive economy and new horizons of innovative business development. Problems and Perspectives in Management, 20(2), 175-185.
- Muff, F., Härer, F., & Fill, H.-G. (2021). A bibliometric analysis of the BPM conference using computational data analytics. ArXiv.
- Pradabwong, J., Braziotis, C., Tannock, J. D. T., & Pawar, K. S. (2017). Business process management and supply chain collaboration: Effects on performance and competitiveness. Supply Chain Management, 22(2), 107-121.
- Rialti, R., Marzi, G., Silic, M., & Ciappei, C. (2018). Ambidextrous organization and agility in big data era: The role of business process management systems. Business Process Management Journal, 24(5), 1091-1109.
- R-project. (n.d.). R: What is R?
- RStudio. (n.d.). RStudio: Open source & professional software for data science teams.
- Schmiedel, T., Recker, J., & vom Brocke, J. (2020). The relation between BPM culture, BPM methods, and process performance: Evidence from quantitative field studies. Information & Management, 57(2), 103175.
- Schmiedel, T., vom Brocke, J., & Recker, J. (2014). Development and validation of an instrument to measure organizational cultures’ support of business process management. Information & Management, 51(1), 43-56.
- Stjepić, A.-M., Ivančić, L., & Vugec, D. S. (2020). Mastering digital transformation through business process management: Investigating alignments, goals, orchestration, and roles. Journal of Entrepreneurship, Management and Innovation, 16(1), 41-73.
- Szelągowski, M., & Berniak-Woźny, J. (2022). How to improve the assessment of BPM maturity in the era of digital transformation. Information Systems and E-Business Management, 20(1), 171-198.
- Trkman, P. (2010). The critical success factors of business process management. International Journal of Information Management, 30(2), 125-134.
- van der Aalst, W. M. P. (2013). Business process management: A comprehensive survey. ISRN Software Engineering, 2013, 507984.
- Van Looy, A. (2021). A quantitative and qualitative study of the link between business process management and digital innovation. Information & Management, 58(2), 103413.
- Zerbino, P., Stefanini, A., & Aloini, D. (2021). Process science in action: A literature review on process mining in business management. Technological Forecasting and Social Change, 172, 121021.