Systemic Structuring of Factors Affecting the Agility of Business Processes

Document Type : Original Article


1 PhD candidate, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran.

2 Assistant Professor, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran.


Introduction: Today, organizations experience complex and unpredictable changes and crises. In this environment, achieving innovation and optimal conditions in complex settings necessitates moving towards flexible and agile solutions. One crucial area for improvement in business process management is enhancing agility in business processes under dynamic and complex conditions. The main goal of this study is to systematically structure the issue of agility in business processes, with a key requirement being the use of soft operations research approaches to address the problem systematically.
Methods: In this research, the meta-combination technique was first employed, followed by semi-structured interviews with 18 experts, including university professors and practitioners in process management and individuals with experience in improving work systems and processes across various organizations. These experts were selected through a targeted non-random and snowball sampling method. The ISM (Interpretive Structural Modeling) approach was then used to elucidate the communication pattern of managing agile organizational processes, and data were collected via a questionnaire. Finally, the collected data were analyzed using the Interpretive Rating Process (IRP).
Results and discussion: Based on the responses to the research questions, an initial framework of 17 main variables was developed after synthesizing the data through interactions with experts. The components of the proposed framework include:
- System Enablers: Appropriate culture, process leadership, process governance, skilled human resources, technological infrastructure, and organizational structure.
- System Capabilities: Strategy-making based on improvisation, creative stability, dynamic adaptability, organizational learning, and environmental understanding.
- Basic Actions and Measures: Continuous process control and monitoring, process quality management, integration of knowledge management with organizational processes, and enhancing the efficiency of process management life cycle components.
- System Outcomes: Improvement of quantitative and qualitative indicators.
According to the ISM conceptual framework, the enabling and capability indicators were classified into four levels. The indicators were then prioritized using the IRP method. The findings highlighted that the technology infrastructure component is a critical enabler at the highest level. Information technology influences all variables, including process culture, human resources, and appropriate organizational structure. It fosters a learning and transformation spirit, teamwork, and collaboration, facilitating continuous employee growth. Additionally, process leadership was identified as the top priority according to the IRP findings.
Conclusions: The results indicate that IT infrastructure should be considered a significant variable in the agility system of business processes. Moreover, considering the external performance variables expected from implementing an agile system in process management, process leadership dominates the technology infrastructure enabler based on all expected performance variables (except gaining a competitive advantage). Therefore, organizations aiming to enhance agility in their process management system should prioritize process leadership characteristics. Following this, the results show that environmental awareness, knowledgeable and competent human resources, organizational learning dimension, contingent and appropriate structures, governance, improvisation-based strategy-making, technological infrastructure, dynamic adaptation, culture, and creative sustainability should be considered in order of priority.


Main Subjects

  1. Ahmad, T., & Looy, A. Van. (2020). Business process management and digital innovations: A systematic literature review. Sustainability (switzerland), 12(17). 6827. DOI:10.3390/SU12176827
  2. Alavi, S., Ramezanian, M., Bagheri, A., & Zeraati, V. (2022). Providing a model for achieving organisational agility with emphasis on business process management. International journal of process management and benchmarking, 12(5), 574–598. DOI:10.1504/IJPMB.2022.125312
  3. Attride-Stirling, J. (2001). Thematic networks: an analytic tool for qualitative research. Qualitative research, 1(3), 385-405.
  4. Badakhshan, P., Conboy, K., Grisold, T. and vom Brocke, J. (2019). Agile business process management: A systematic literature review and an integrated framework. Business Process Management Journal, 26(6), 1505–1523. DOI: 10.1108/BPMJ-12-2018-0347.
  5. Bergaoui, N., & Ay chi Ghannouchi, S. (2021). A BPM-Based Agile Approach to Ensure Adaptive Learning, New Trends in Intelligent Software Methodologies, Tools and Techniques H. Fujita and H. Perez-Meana (Eds.)
  6. 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.
  7. Bider, I. & Jalali, A. (2016). Agile business process development: why, how and when-applying Nonaka’s theory of knowledge transformation to business process development. Information Systems and E-Business Management, 14(4), 693-731.
  8. Bititci, U. S. Ackermann, F. Ates, A. Davies, J. Garengo, P. Gibb, S. & Shafti, F. (2011). Managerial processes: business process that sustain performance. International Journal of Operations & Production Management, 31(8), 851-891.
  9. Bitkowska, A., Damian D & Tomasz, G. (2022). Towards Cloud Agile Business Process Management. Communications of the ibima, 2, 1–20. DOI:10.5171/2022.821632
  10. Bruno, G., Dengler, F., Jennings, B., Khalaf, R., Nurcan, S., Prilla, M. and Silva, R. (2011), Key challenges for enabling agile BPM with social software, Journal of Software: Evolution and Process, 4, 297-326.
  11. Busra Ozdenizci Kose, (2020). Business process management approach for improving agile software process and agile maturity.
  12. Fard, M., Kabarazad Ghadim, M. R., & Haghighat monfared, J. (2021). Designing a Digital Entrepreneurship Development Model in Small and Medium-Sized Knowledge-Based Companies with Emphasis on Resistance Economy Policies. Basij Strategic Studies,24(90), 103-140.
  13. Fernandez, A. D. R., Fernandez, D. R., Marcos-Jorquera, D., & Iglesias, V. G. (2020). Support System for Early Diagnosis of Chronic Obstructive Pulmonary Disease Based on the Service-Oriented Architecture Paradigm and Business Process Management Strategy: Development and Usability Survey Among Patients and Health Care Providers. Journal of Medical Internet Research, 22(3), 1-14.
  14. Fischer, M., Imgrund, F., Janiesch, C., & Winkelmann, A. (2020). Strategy archetypes for digital transformation: Defining meta objectives using business process management. Information and Management, 57(5), 1–13. Retrieved from
  15. Gebhart, M., Mevius, M., & Wiedmann, P. (2014). Business process evaluation in agile business process management using quality models. International journal on advances in life sciences, 6(3–4), 279–290.
  16. Genpact,. (2016). Accelerating the Pace and Impact of Digital Transformation. Havard Business School Publishing. Retrieved from accelerating-the-pace-and-impact-of-digital-transformation.
  17. Gosnik, D., Maja Mesko, M & Igor Stubel. (2023). The Relationship between Leadership in BPM and Company Profitability. Administrative Sciences, 13(3), 1–14
  18. Gwet, K.L. (2014). Handbook of inter-rater reliability: The definitive guide to measuring the extent of agreement among raters. Advanced Analytics LLC.
  19. Hasangholipour, H., Amiry, M., & Pourezzat, A. A. (2017). Developing a Model for the Evaluation of Effective Retention Policy for Faculty Members in Higher Education. Journal of Public Administration, 9(3), 489-516. doi: 10.22059/jipa.2018.247098.2140
  20. Heininger, Richard. (2012). Requirements for Business Process Management Systems Supporting Business Process Agility. International Conference on Subject-Oriented Business Process Management, 168-180.
  21. Hotel, O., Gzara, L., Verjus, H., & Triaa, W. (2020). Competency cataloging and localization to support organizational agility in BPM [presentation]. Business process management workshops: BPM 2020 international workshops, seville, spain, september 13--18, 2020, revised selected papers 18, 60–69.
  22. ISO 9001, InternationalStandard. (2015).
  23. Karimi, J. and Walter, Z. (2015). The role of dynamic capabilities in responding to digital disruption: a factor-based study of the newspaper industry. J. Inform. Syst, 32(1), 39–81.
  24. Kerpedzhiev, G, (2016). The Future of Business Process Management in the Future of Work, Twenty-Fourth European Conference on Information Systems (ECIS), ─░stanbul, Turkey.
  25. Koopman, A & Seymour, S. (2020). Factors Impacting Successful BPMS Adoption and Use: A South African Financial Services Case Study, Part of the Lecture Notes in Business Information Processingbook series
  26. Lederer, M., & Thummerer, J. (2022). Organizing a self-organized team: towards a maturity model for agile business process management [presentation]. Communications in computer and information science, 1632 CCIS, 152–164. DOI: 10.1007/978-3-031-19704-8_10
  27. Luthra, S., Garg, D. & Haleem, A. (2015). Critical success factors of green supply chain management for achieving sustainability in Indian automobile industry. Production Planning and Control, 26(5), 339-362, doi: 10.1080/09537287.2014.904532
  28. Manian, A., & ronaghi, M. H. (2015). A Comprehensive Framework for E-marketing Implementation by Meta-Synthesis Method. Journal of Business Management, 7(4), 901-920. doi: 10.22059/jibm.2015.57097
  29. Mehregan, A., Akhavannory, M & Raesifar, K. (2013). Designing and drawing a map of the new science of research in soft operations. The Journal of Industrial Management Perspective, 4(4), 9-29. (In Persian).
  30. Meziani, R & Saleh, I. (2010). Towards a collaborative business process management methodology, International Conference on Multimedia Computing and Systems (ICMCS). 1-6.
  31. Meziani, R. (2014). Achieving Business Process Agility through a Pragmatic Approach. International Journal of Computer and Electrical Engineering, 6(1), 59-63.
  32. Mohaghar, A., Ansari, M, Sadeghi Moghadam, M, Mirkazemi, M. (2018). A Framework to Synthesize the Modeling Methods of Socio-Technical Systems using Critical Interpretive Meta-Synthesis. The Journal of Industrial Management Perspective, 8(1), 9-38. (In Persian).
  33. Morovati Sharif Abadi., A., Zanjirchi, M., Abbas Abadi., O. (2022). Processes Management of Maintenance using PCF and Data Mining. The Journal of Industrial Management Perspective, 12(2), 175-198. (In Persian)
  34. Moulai, E., Haji Gholam Serizdi, A. (2015). Dynamic analysis of the effect of business process reengineering factors on organizational agility (case study: Ports and Maritime Organization), The first international industrial management conference, Tehran: Iranian Industrial Management Scientific Association. (In Persian).
  35. Mundra, N., Mishra, R, & Upreti, G. (2021). Development of Framework for Lean Implementation: An Interpretive Structural Modeling and Interpretive Ranking Process Approach, SAE Int. J. Mater. Manuf., 14(2), 223 – 242. doi: 10.4271/05-14-02-0015 .
  36. Naqvi, A., Azar, A & Asadi, M. (2014). Prioritization of enabling factors of organizational agility in universities and higher education centers of Yazd city. research and planning quarterly in higher education, twenty-week period, number 1, (in persian).
  37. Oruthotaarachchi, C. R., & Wijayanayake, W. M. J. I. (2021). A Thematic Literature Review on Business Process Management. International journal of managing value and supply chains, 12(1), 1–13. DOI:10.5121/ijmvsc.2021.12101
  38. Rimassa, G. & Burmeister, B. (2007). Achieving business process agility in engineering change management with agent technology”, 8th AI*IA/TABOO Joint Workshop “From Objects to Agents”: Agents and Industry: Technological Applications of Software Agents (WOA), Genova, 1-7
  39. Rito-Silva, A., Meziani, R., Magalhaes, R., Martinho, D., Aguiar, A. & Flores, N. (2009), AGILIPO: embedding social software features into business process tools, in Rinderle-Ma, S., Sadiq, S. and Leymann, F. (Eds), Business Process Management Workshops, Springer, Berlin and Heidelberg, 219-230.
  40. Rodriguez, Denis & Molina, Enrique Silva. (2018). The experience of implementation with Agile Business Process Management. Technology and Engineering Systems Journal, 3(4), 284-294.
  41. Sandelowski, M., & Barroso, J. (2003). Toward a metasynthesis of qualitative findings on motherhood in HIV -positive women. Research in Nursing & Health, 26(2), 153 -170
  42. Santos, Pádua, S.I.D.(2023). BPM promotion framework for startups: developing dynamic capabilities. Business Process Management Journal, 29(1), 140-158.
  43. Selander, L & Jarvenpaa, S. L. (2016). Digitalaction repertoires and transforming a social movement organization. MIS Quart, 40(2), 331–352.
  44. Sharma, P., Devidas Thakar, G & Gupta, R.C. (2013). Interpretive Structural Modeling of Functional Objectives (Criteria’s) of Assembly Line Balancing Problem. International Journal of Computer Applications (0975 – 8887). 83(13), 4-22.
  45. Sharma, V., Dixit, A.R. & Qadri, M.A. (2016). Modeling lean implementation for manufacturing sector, Journal of Modelling in Management, 11(2), 405-426. doi: 10.1108/JM2-05- 2014-0040.
  46. Staff (2015). Agile BPM: Agile Development and Business Process Management,
  47. Sultan Bagh-Shahi, T., Rizvani, H. (2018). Presenting a model to improve the performance of the organization through the agility of organizational processes in shipping companies. The second economic and accounting management conference with the organizational agility approach, Tehran. (In Persian).
  48. Sushil, D. (2009), Interpretive ranking process. Global Journal of Flexible Systems Management, 10(4), 1-10, doi: 10.1007/BF03396567.
  49. Swenson Keith D & von Rosing Mark. (2015). What Is Business Process Management? In von Rosing,M., von Scheel, H. and Scheer, A.W. (Eds). The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM, 77-88.
  50. Tavakli, G., MohammadZaheri, M & AghaZadeHabashi, J. (1401). A framework for stabilizing the relationship between the individual and the organization. Management Studies of Improvement and Transformation, 31(103), 95-122. (In Persian).
  51. Thiemich, C. and Puhlmann, F. (2013). An agile BPM project methodology, in Daniel, F. et al. (Eds), Business Process Management: 11th International Conference, BPM 2013, Proceedings, Springer, Beijing and Berlin Heidelberg, 291-306.
  52. Triaa, W., L. Gzara, & Verjus, H. (2017). Exploring the influence of Social software on Business Process Management, IFAC PapersOnLine, 50-1, 12968–12978.
  53. Vieira, C. S. M., Lohmann, P. A., Magdaleno, A. M., & Engiel, P. (2020). APRUMO (agile process modeling) - a method to process modeling using agile bpm [presentation]. ACM international conference proceeding series, 1–8. DOI: 10.1145/3411564.3411631
  54. von Rosing, M., von Scheel, J. and Gill, A.Q. (2015). Applying agile principles to BPM, in von Rosing, M., von Scheel, H. and Scheer, A.W. (Eds). The Complete Business Process Handbook: Body of Knowledge from Process Modeling to BPM, Morgan Kaufmann, 79-88.
  55. Wankhede, V.A.Vinodh, S.(2021). Analysis of barriers of cyber-physical system adoption in small and medium enterprises using interpretive ranking process. International Journal of Quality & Reliability Management, Vol. ahead-of-print No. ahead-of-prin
  56. Zacarias, M., Martins, P.V. & Gonçalves, A. (2017). An agile business process and practice meta-model. Procedia Computer Science, 1