Current issue
Archive
About the Journal
About
Editorial Office
Scientific Board
Abstract & Indexing
Contact
Reviewers list
Editorial Policies
Authorship & COI
Ethical principles
Crossmark
Principles of Transparent Checklist
Open access
Instruction for Authors
Guidelines for Authors
Manuscript Types
Manuscript structure
How to submit
SCIENCE ARTICLE
Business process effectiveness - a puzzle of many pieces. The role of knowledge transfer and integration, business process efficiency and business process modelling
1
Management, Poznań University of Economics and Business, Poland
Submission date: 2024-11-27
Final revision date: 2025-02-26
Acceptance date: 2025-04-25
Online publication date: 2025-05-30
Publication date: 2025-06-25
Corresponding author
Management 2025;(1):425-446
KEYWORDS
knowledge transfer and integrationbusiness process efficiencybusiness processeffectivenessbusiness process modelling
JEL CLASSIFICATION CODES
M12
M21
TOPICS
ABSTRACT
Research background and purpose: Efficient management of business processes is crucial for operational excellence and customer satisfaction. Organizations employ Business Process Management techniques to design, monitor, optimize and automate these processes effectively. This paper explores the elements that ensure the smooth functioning of business operations and drive organizational success, and is focused on the determinants of business process effectiveness. Based on a literature review, this study aims to examine the role of knowledge transfer and integration, business process efficiency and business process modelling in shaping business process effectiveness.
Design/methodology/approach: Data collected from polish 300 managers and specialists using the CAWI method was analysed using structural equation modelling.
Findings: The study provides evidence of the direct influence of business process efficiency on business process effectiveness. The study's findings also reveal the direct impact of business process modelling, as well as knowledge transfer and integration, on business process efficiency. It is surprising that the influence of business process modelling, and knowledge transfer and integration on the effectiveness of business processes is not recognized.
Value added and limitations: The contribution of this study is to highlight the importance of business process modelling (as a major factor), as well as knowledge transfer and integration, in business process effectiveness, and the importance of business process efficiency in shaping business process effectiveness. The study is subject to certain limitations, among which are: the use of a single-respondent approach, conducting the survey among managers from different sectors (the specifics of the business can have a significant impact on shaping the constructs we study), conducting the study at a specific point in time, which creates challenges in accurately assessing the effectiveness of business processes.
REFERENCES (51)
1.
Aguilar-Savén, R. S. (2004). Business Process Modelling: Review and Framework. International Journal of Production Economics, 90(2), 129–149.
2.
Aldin, L., & de Cesare, S. (2011). A Literature Review on Business Process Modelling: New Frontiers of Reusability. Enterprise Information Systems, 5(3), 359–383. https://doi.org/10.1080/175175....
3.
Anand, A., Muskat, B., Creed, A., Zutshi, A., & Csepregi, A. (2021). Knowledge sharing, knowledge transfer and SMEs: evolution, antecedents, outcomes and directions. Personnel Review, 50(9), 1873–1893. https://doi.org/10.1108/PR-05-....
4.
Igolkina, A. A., & Meshcheryakov, G. (2020). A Python Package for Structural Equation Modeling, Structural Equation Modeling. A Multidisciplinary Journal, 27(6), 952–963. https://doi.org/10.1080/107055....
5.
Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150–169. https://doi.org/10.1006/obhd.2....
6.
Bandara, W., Gable, G. G., & Rosemann, M. (2005). Factors and measures of business process modelling: Model building through a multiple case study. European Journal of Information Systems, 14(4), 347–360. https://doi.org/10.1057/palgra....
7.
Bandara, W., Gable, G. G., Tate, M., & Rosemann, M. (2021). A validated business process modelling success factors model. Business Process Management Journal, 27(5), 1522–1544. https://doi.org/10.1108/BPMJ-0...
8.
Barvičienė, I., & Šakalytė, E. (2013). Organizational Assessment: Effectiveness Vs . Efficiency. Social Transformations in Contemporary Society, 2013(1), 45–53.
9.
Cadden, T., Weerawardena, J., Cao, G., Duan, Y., & McIvor, R. (2023). Examining the role of big data and marketing analytics in SMEs innovation and competitive advantage: A knowledge integration perspective. Journal of Business Research, 168, 1-15. https://doi.org/10.1016/j.jbus....
10.
Chui, K. T., Arya, V., Band, S. S., Alhalabi, M., Liu, R. W., & Chi, H. R. (2023). Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and multidisciplinary studies. Journal of Innovation and Knowledge, 8(2). https://doi.org/10.1016/j.jik.....
11.
Corral de Zubielqui, G., Lindsay, N., Lindsay, W., & Jones, J. (2019). Knowledge quality, innovation and firm performance: a study of knowledge transfer in SMEs. Small Business Economics, 53(1), 145–164. https://doi.org/10.1007/s11187....
12.
Crossan, M. M., Lane, H. W., & White, R. E. (1999). An Organizational Learning Framework: From Intuition to Institution. The Academy of Management Review, 24(3), 522–537. https://doi.org/https://doi.or....
13.
De Luca, P., & Cano Rubio, M. (2019). The curve of knowledge transfer: a theoretical model. Business Process Management Journal, 25(1), 10–26. https://doi.org/10.1108/BPMJ-0....
14.
de Oca, I. M.-M., Snoeck, M., Reijers, H. A., & Rodriguez-Morffi, A. (2015). A systematic literature review of studies on business process modeling quality. Information and Software Technology, 58, 187–205.
15.
de Vries, J. W., Spijkerboer, R. C., & Zuidema, C. (2024). Making knowledge matter: Understanding and improving knowledge-integration in Dutch marine spatial planning policy. Ocean and Coastal Management, 248, 106928. https://doi.org/10.1016/j.ocec....
16.
Dumas, M., Rossa, M., Mendling, J., & Reijers, A. H. (2018). Fundamentals of business process management. Springer.
17.
Fu, Z., Satchapappichit, S., & Zeng, Y. (2024). The Impact of Knowledge Acquisition on Continuous Innovation Capability: The Mediation Effect of Knowledge Integration. Journal of Information Systems Engineering and Management, 9(1). https://doi.org/10.55267/iadt.....
18.
Gao, W., He, X. J., & Wang, H. (2009). The Impact of Knowledge Integration on Firm Performance. Journal of International Technology and Information Management, 18(2), 239–258. https://doi.org/10.1108/scm-03....
19.
Gera, R. (2012). Bridging the gap in knowledge transfer between academia and practitioners. International Journal of Educational Management, 26(3), 252–273. https://doi.org/10.1108/095135....
20.
Guzman, G. (2008). Transferring codified knowledge : socio-technical versus top-down approaches. 15(3), 251–276. https://doi.org/10.1108/096964....
21.
Heilman, S., & Kennedy-Phillips, L. (2011). Making Assessment Easier With the Organizational Effectiveness Model describe a comprehensive, step-by-step, mixed-methods assessment model. American College Personnel Association and Wiley Periodicals, 15(6), 29–32. https://doi.org/10.1002/abc.20....
22.
Jerez-Gómez, P., Céspedes-Lorente, J., & Valle-Cabrera, R. (2005). Organizational learning capability: A proposal of measurement. Journal of Business Research, 58(6), 715–725. https://doi.org/10.1016/j.jbus....
23.
Joia, L. A., & Lemos, B. (2010). Relevant factors for tacit knowledge transfer within organisations. Journal of Knowledge Management, 14(3), 410–427. https://doi.org/10.1108/136732....
24.
Kasim, T., Haračić, M., & Haračić, M. (2018). The Improvement of Business Efficiency Trough Buisness Process Management. Economic Review – Journal of Economics and Business, XVI(1), 31–43.
25.
Kim, Y. J., Song, S., Sambamurthy, V., & Lee, Y. L. (2012). Entrepreneurship, knowledge integration capability, and firm performance: An empirical study. Information Systems Frontiers, 14(5), 1047–1060. https://doi.org/10.1007/s10796....
26.
Kir, H., & Erdogan, N. (2021). A Knowledge-Intensive Adaptive Business Process Management Framework. Information Systems, 95, 101639. https://doi.org/10.1016/j.is.2...
27.
Lavan, T., Tran, K. T., Chen, J., Yao, J., Wang, D., & Huang, Y. (2025). Knowledge transfer in businessto-business customer relationship development. Industrial Marketing Management, 125, 319–338. https://doi.org/10.1016/j.indm....
28.
Lombardi, R. (2019). Knowledge transfer and organizational performance and business process: past, present and future researches. Business Process Management Journal, 25(1), 2–9. https://doi.org/10.1108/BPMJ-0....
29.
Low, J. (2000). The value creation index. Journal of Intellectual Capital, 1(3), 252–262. https://doi.org/10.1108/146919....
30.
Lubishtani, E., Becka, E., & Jahja, A. (2022). The Impact of Knowledge Management and Knowledge Transfer in Growth and Innovation. AStudy of Business Start-Ups, Business Incubators and Business Accelerators. IFAC-PapersOnLine, 55(39), 54–59. https://doi.org/10.1016/j.ifac...
31.
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly: Management Information Systems, 35(2), 293–334. https://doi.org/10.2307/230440....
32.
Massingham, P., & Al Holaibi, M. (2017). Embedding Knowledge Management into Business Processes. Knowledge and Process Management, 24(1), 53–71. https://doi.org/10.1002/kpm.15....
33.
Melão, N., & Pidd, M. (2000). A onceptual ramework for Understanding Business Processes and Business Process Modelling. Information Systems Journal, 10(2), 105–129. https://dx.doi.org/10.1046/j.1...
34.
Mouzas, S. (2006). Efficiency versus effectiveness in business networks. Journal of Business Research, 59(10–11), 1124–1132. https://doi.org/10.1016/J.JBUS....
35.
Ouyang, H., Cui, X., Peng, X., & Udemba, E. N. (2023). Reverse knowledge transfer in digital era and its effect on ambidextrous innovation: A simulation based on system dynamics. Heliyon, 9(12), e22717. https://doi.org/10.1016/j.heli....
36.
Parente, R., Murray, J. Y., Zhao, Y., Kotabe, M., & Dias, R. (2022). Relational resources, tacit knowledge integration capability, and business performance. Journal of Knowledge Management, 26(4), 805–823. https://doi.org/10.1108/JKM-07....
37.
Paschek, D., Ivascu, L., & Draghici, A. (2018). Knowledge Management – The Foundation for a Successful Business Process Management. Procedia - Social and Behavioral Sciences, 238, 182–191. https://doi.org/10.1016/j.sbsp....
38.
Paulin, D., & Suneson, K. (2012). Knowledge transfer, knowledge sharing and knowledge barriersthree blurry terms in KM. The Electronic Journal of Knowledge Management, 10(1), 81–91.
39.
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. https://doi.org/10.1108/SCM-01....
40.
Schmiedel, T., Recker, J., & vom Brocke, J. (2020). The relation between BPM culture, BPM methods, and process performance: Evidence from quantitative field studies. Information and Management, 57(2), 103175. https://doi.org/10.1016/j.im.2....
41.
Schmiedel, T., Vom Brocke, J., & Recker, J. (2014). Development and validation of an instrument to measure organizational cultures’ support of Business Process Management. Information and Management, 51(1), 43–56. https://doi.org/10.1016/j.im.2....
42.
Seabold, S., & Perktold, J. (2010). Statsmodels: Econometric and Statistical Modelingwith Python. In S.van der Walt & J. Millman (Eds.). Proceedings of the 9th Python in Science Conference (pp. 92 - 96). https://doi.org/10.25080/Major...
43.
Shaw, G., & Williams, A. (2009). Knowledge transfer and management in tourism organisations: An emerging research agenda. Tourism Management, 30(3), 325–335. https://doi.org/10.1016/j.tour....
44.
Smith, H., & Fingar, P. (2003). Business Process Management: The Third Wave. Meghan-Kiffer Press
45.
Tangaraja, G., Mohd Rasdi, R., Abu Samah, B., & Ismail, M. (2016). Knowledge sharing is knowledge transfer: a misconception in the literature. Journal of Knowledge Management, 20(4), 653–670. https://doi.org/10.1108/JKM-11....
46.
Trequattrini, R., Massaro, M., Lardo, A., & Cuozzo, B. (2019). Knowledge transfer and managers turnover: impact on team performance. Business Process Management Journal, 25(1), 69–83. https://doi.org/10.1108/BPMJ-0....
47.
Xie, X. Y., Ling, C. D., Liu, W., & Wei, J. (2022). Inter-team coordination, information elaboration and performance in teams: The moderating effect of knowledge integration capability. Journal of Business Research, 149(May), 149–160. https://doi.org/10.1016/j.jbus....
48.
Yoo, D. K. (2017). Impacts of a Knowledge Sharing Climate and Interdisciplinary Knowledge Integration on Innovation. Journal of Information and Knowledge Management, 16(2), 1–23. https://doi.org/10.1142/S02196....
49.
Zaheer, A., Rehman, K., & Saif, M. I. (2008). Munich Personal RePEc Archive Development and testing of a business process efficiency scale. European Journal of Social Sciences (2008), 7(2), 179-188.
50.
Zheng, W., Yang, B., & McLean, G. N. (2010). Linking organizational culture, structure, strategy and organizational effectiveness: Mediating role of knowledge management. Journal of Business Research, 63(7), 763–771. https://doi.org/http://dx.doi.....
51.
Seleim, A. A. S., & Khalil, O. E. M. (2011). Understanding the knowledge management-intellectual capital relationship: A two-way analysis. Journal of Intellectual Capital, 12(4), 586–614. https://doi.org/10.1108/146919....
Share
RELATED ARTICLE
| eISSN: | 2299-193X |
| ISSN: | 1429-9321 (1997-2019) |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
