Main Article Content
Purpose - The researcher investigates the extent to which knowledge sharing moderates the relationship between knowledge creation and business process re-engineering (BPR) outcomes of financial services offered by financial institutions in Uganda.
Design/Methodology - The study adopted cross-sectional survey design to collect data at one point in time using self-administered questionnaire to examine the relationship between knowledge creation and business processes. The study at first used statistical package for social scientists to establish clusters among the surveyed financial services and later a model was derived using R programming software to test for knowledge creation and business process re-engineering performance outcomes.
Findings - The study found a significant conditional effect of knowledge sharing on knowledge creation and business process re-engineering outcomes. Implying that investment in knowledge sharing creates awareness about the financial services outcomes of financial institutions using business process re-engineering to provide financial services.
Originality - This study contributes to business process re-engineering literature by advancing the idea that BPR is an important economic resource that enhanced through instituting knowledge creation and sharing practices in a complex environment. Ideally, creating and sharing knowledge is one of the drivers of customer value, efficiency, and effectiveness of financial services in financial institutions.
Practical Implications - Managers of financial institutions need to pay keen interest in managing business processes using relevant knowledge and transforming in new products, new processes, and new markets to boost business process re-engineering outcomes by building a strong knowledge creation system through training and development programs for senior managers.
Copyright (c) 2023 Dr. Nkurunziza Gideon, Dr. Walugembe Ahmed, Prof. Ntayi Joseph Mpeera, Vincent Obedgiu
This work is licensed under a Creative Commons Attribution 4.0 International License.
The data that support the findings of this study are available on request from the corresponding author on firstname.lastname@example.org
Al-Omran, K., AlZayer, J., & Arnout, M. (2019). Causes of Business Process Reengineering Failure in the Kingdom of Bahrain and Saudi Arabia. International Journal of Engineering and Management Research, 9(6). DOI: https://doi.org/10.31033/ijemr.9.6.5
Al‐Mashari, M., Irani, Z., & Zairi, M. (2001). Business process reengineering: a survey of international experience. Business process management journal, 7(5), 437-455. DOI: https://doi.org/10.1108/14637150110406812
Bako, Y., & Banmeke, M. (2019). The impact of business process re-engineering on organizational performance (A study of commercial banks and micro-finance banks in Ilaro). Journal of Management and Technology [JORMATECH, 5(1), 1-14.
Bank, W. (2010). The world bank annual report 2010: The World Bank.
Bank, W. (2011). The world bank annual report 2011: The World Bank. DOI: https://doi.org/10.1596/978-0-8213-8828-0
Bebbington, A. (2006). The search for empowerment: Social capital as idea and practice at the World Bank: Kumarian Press.
Bhasin, S., & Dhami, S. (2018). Business Process Reengineering–The Role of Human Resource Function: A Comprehensive Review of Literature. International Journal of Business Management & Research, 8(2), 1-17. DOI: https://doi.org/10.24247/ijbmraug20181
Bolker, B. M. (2015). Linear and generalized linear mixed models. Ecological statistics: contemporary theory and application, 309-333. DOI: https://doi.org/10.1093/acprof:oso/9780199672547.003.0014
Burrell, G., & Morgan, G. (1979). Assumptions about the nature of social science. Sociological paradigms and organisational analysis, 248(1), 1-9. DOI: https://doi.org/10.4324/9781315609751-1
Cao, X., Ali, A., Pitafi, A. H., Khan, A. N., & Waqas, M. (2021). A socio-technical system approach to knowledge creation and team performance: evidence from China. Information Technology & People, 34(7), 1976-1996. DOI: https://doi.org/10.1108/ITP-10-2019-0536
Cempel, C., & Tabaszewski, M. (2010). Optimization of dimensionality of symptom space in machine condition monitoring. Mechanical Systems and Signal Processing, 24(4), 1129-1137. DOI: https://doi.org/10.1016/j.ymssp.2009.09.010
Cohen, J. (1988). Set correlation and contingency tables. Applied psychological measurement, 12(4), 425-434. DOI: https://doi.org/10.1177/014662168801200410
Davenport, T. H., & Short, J. E. (1990). The new industrial engineering: information technology and business process redesign.
Fan, L., Rajib, M. S. U., & Alam, M. S. (2012). Business process re-engineering in the SMEs: critical success factors perspective of an emerging economy. International Journal of Contemporary Business Studies, 3(6), 6-18.
Fawcett, S. E., & Birou, L. M. (1992). Exploring the logistics interface between global and JIT sourcing. International Journal of Physical Distribution & Logistics Management, 22(1), 3-14. DOI: https://doi.org/10.1108/09600039210010324
Fetais, A., Abdella, G. M., Al-Khalifa, K. N., & Hamouda, A. M. (2022a). Business Process Re-Engineering: A Literature Review-Based Analysis of Implementation Measures. Information, 13(4), 185. DOI: https://doi.org/10.3390/info13040185
Fetais, A., Abdella, G. M., Al-Khalifa, K. N., & Hamouda, A. M. (2022b). Modeling the relationship between business process reengineering and organizational culture. Applied System Innovation, 5(4), 66. DOI: https://doi.org/10.3390/asi5040066
Field, A. P. (2006). The behavioral inhibition system and the verbal information pathway to children's fears. Journal of abnormal psychology, 115(4), 742. DOI: https://doi.org/10.1037/0021-843X.115.4.742
Fraley, C., & Raftery, A. E. (1998). How many clusters? Which clustering method? Answers via model-based cluster analysis. The computer journal, 41(8), 578-588. DOI: https://doi.org/10.1093/comjnl/41.8.578
Galandere-Zīle, I. (2009). The effective management approach: integration of business, quality management and knowledge management processes. Computer Science (1407-7493), 38. DOI: https://doi.org/10.2478/v10143-009-0011-0
Gogo, P. (2019). The Effect Of Financial Deepening On Economic Growth In The East Africa Community Bloc. UoN,
Goldstein, J. (1999). Emergence as a construct: History and issues. Emergence, 1(1), 49-72. DOI: https://doi.org/10.1207/s15327000em0101_4
Goldstein, J. (2013). Complexity and philosophy: Re-imagining emergence: Part 1. Emergence: Complexity and Organization, 15(2), 78.
Goldstein, J., Hazy, J. K., & Silberstang, J. (2010). A complexity science model of social innovation in social enterprise. Journal of social entrepreneurship, 1(1), 101-125. DOI: https://doi.org/10.1080/19420671003629763
Habib, M. N., & Shah, A. (2013). Business process reengineering: Literature review of approaches and applications. Paper presented at the Proceedings of 3rd Asia-Pacific Business Research Conference.
Hammer, M. (1990). Reengineering work: Don't automate, obliterate. Harvard business review, 68(4), 104-112.
Hammer, M., & Champy, J. (1993). Business process reengineering. London: Nicholas Brealey, 444(10), 730-755.
Hashem, G. (2020). Organizational enablers of business process reengineering implementation: An empirical study on the service sector. International journal of productivity and performance management, 69(2), 321-343. DOI: https://doi.org/10.1108/IJPPM-11-2018-0383
Hassan, M. M. (2003). Reengineering the process in the design of object-orientation using concepts of industrial engineering. International journal of computer applications in technology, 16(4), 167-180. DOI: https://doi.org/10.1504/IJCAT.2003.000323
Hayes, A. F. (2013a). Introduction to mediation, moderation, and conditional process analysis: Methodology in the Social Sciences. Kindle Edition, 193.
Hayes, A. F. (2013b). Model templates for PROCESS for SPSS and SAS. In.
High, R. (2012). The era of cognitive systems: An inside look at IBM Watson and how it works. IBM Corporation, Redbooks, 1, 16.
Hussein, A. K. (2016). Applications of nanotechnology to improve the performance of solar collectors–Recent advances and overview. Renewable and Sustainable Energy Reviews, 62, 767-792. DOI: https://doi.org/10.1016/j.rser.2016.04.050
Irau, T. (2015). Demand for Money in Papua New Guinea. Bank of Papua New Guinea Working Paper Series, 1, 5-17.
Islam, Z. M., Low, K., & Hasan, I. (2011). Knowledge management practices and organizational effectiveness: Empirical evidence from banks of an underdeveloped country. Global Education Journal, 2011(3), 1-28.
Jayatilake, H., Withanaarachchi, A., & Peter, S. (2016). Possibility of applying Industry 4.0 as a business process re-engineering tool: Case study from an apparel production plant.
Kamukama, N., Tumwine, S., Opiso, J., & Korutaro Nkundabanyanga, S. (2014). Business process management and service delivery; a case of Uganda's public entities. World Journal of Entrepreneurship, Management and Sustainable Development, 10(4), 285-299. DOI: https://doi.org/10.1108/WJEMSD-08-2013-0047
Kearns, G. S., & Lederer, A. L. (2003). A resource‐based view of strategic IT alignment: how knowledge sharing creates competitive advantage. Decision sciences, 34(1), 1-29. DOI: https://doi.org/10.1111/1540-5915.02289
Kearns, G. S., & Lederer, A. L. (2004). The impact of industry contextual factors on IT focus and the use of IT for competitive advantage. Information & Management, 41(7), 899-919. DOI: https://doi.org/10.1016/j.im.2003.08.018
Keshtmand, Z., Nowrozian, M., & Hatami, K. (2016). The Effect Of Technology And Administrative Automation On Employees’ Work Life Quality (Case Study: Department Of Youth And Sports Of Kermanshah Province). DOI: https://doi.org/10.7456/1060AGSE/008
Kimotho, M., & Muturi, W. (2019). Effect of Innovations on Financial Performance of Microfinance Institutions in Kenya. International Journal of Social Sciences and Information Technology, 5(3), 1-14.
Lakuma, P. C., Sunday, N., Sserunjogi, B., Kahunde, R., & Munyambonera, E. F. (2020). How has the COVID-19 pandemic impacted Ugandan businesses? Results from a business climate survey.
Li, N., & Nazif, H. (2022). Systematic literature review on business process re-engineering approaches in logistics. Kybernetes, 51(10), 3009-3024. DOI: https://doi.org/10.1108/K-09-2020-0579
Mafabi, S., Munene, J., & Ntayi, J. (2012). Knowledge management and organisational resilience: Organisational innovation as a mediator in Uganda parastatals. Journal of Strategy and Management, 5(1), 57-80. DOI: https://doi.org/10.1108/17554251211200455
Maharmah, M. H., & Al Jbour, F. K. (2023). The Impact of Applying Re-Engineering Application Process on Critical Performance Criteria in Jordanian Islamic Banks. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 8(6), 40. DOI: https://doi.org/10.26668/businessreview/2023.v8i6.2457
Mahmoudi, M. M., & Mollaei, E. (2014). The effect of business process re-engineering factors on organizational agility using path analysis: Case study of ports & maritime organization in Iran. Asian Economic and Financial Review, 4(12), 1849.
Melo, A. C. S., Netto, M. A. C., Ferreira Filho, V. J. M., & Fernandes, E. (2010). Knowledge management for improving business processes: an analysis of the transport management process for indivisible exceptional cargo. Pesquisa Operacional, 30, 305-330. DOI: https://doi.org/10.1590/S0101-74382010000200004
Mendonça Tachizawa, E., & Giménez Thomsen, C. (2007). Drivers and sources of supply flexibility: an exploratory study. International Journal of Operations & Production Management, 27(10), 1115-1136. DOI: https://doi.org/10.1108/01443570710820657
Millán, A. P., Torres, J. J., & Marro, J. (2019). How memory conforms to brain development. Frontiers in Computational Neuroscience, 22. DOI: https://doi.org/10.3389/fncom.2019.00022
Mlay, S. V., Zlotnikova, I., & Watundu, S. (2013). A quantitative analysis of business process reengineering and organizational resistance: the case of Uganda. The African Journal of Information Systems, 5(1), 1.
Modarres, M. Enhancing strategic values of business modeling and simulation technologies in process reengineering: Exploring an integrated enterprise knowledge base approach.
Mollaei, M., & Mirkhalili, S. M. (2014). Execution analysis in Iran law. Advances in Environmental Biology, 658-662.
Nkurunziza, G., Munene, J., Ntayi, J., & Kaberuka, W. (2019). Business process reengineering in developing economies: Lessons from microfinance institutions (MFIs) in Uganda. Innovation & Management Review, 16(2), 118-142. DOI: https://doi.org/10.1108/INMR-03-2018-0010
Nkurunziza, G., Ntayi, J. M., Munene, J. C., & Kaberuka, W. (2018). “Knowledge management, adaptability and business process reengineering performance in microfinance institutions. DOI: https://doi.org/10.21511/kpm.02(1).2018.06
Norusis, M. J. (2010). PASW statistics 18 guide to data analysis: Prentice Hall Press.
Nzewi, H., Chiekezie, O., & Ogbeta, M. (2015). Talent management and employee performance in selected commercial banks in Asaba, Delta State, Nigeria. European journal of business and social sciences, 4(09).
Pagano, M., & Jappelli, T. (1993). Information sharing in credit markets. The Journal of Finance, 48(5), 1693-1718. DOI: https://doi.org/10.1111/j.1540-6261.1993.tb05125.x
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. DOI: https://doi.org/10.1037/0021-9010.88.5.879
Powell, W. W., & Snellman, K. (2004). The knowledge economy. Annu. Rev. Sociol., 30, 199-220. DOI: https://doi.org/10.1146/annurev.soc.29.010202.100037
Pruijt, H. (1998). Multiple personalities: the case of business process reengineering. Journal of Organizational Change Management, 11(3), 260-268. DOI: https://doi.org/10.1108/09534819810216283
Ryu, S., Ho, S. H., & Han, I. (2003). Knowledge sharing behavior of physicians in hospitals. Expert Systems with applications, 25(1), 113-122. DOI: https://doi.org/10.1016/S0957-4174(03)00011-3
Scheer, A.-W. (2012). Business process engineering: reference models for industrial enterprises: Springer Science & Business Media.
Sharma, A., & Kansal, A. (2014). Technological infovations in banking sector: impact, behaviour and services. International journal of information & computation technology, 4(9), 885-890.
Stijnen, T., Hamza, T. H., & Özdemir, P. (2010). Random effects meta‐analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse data. Statistics in medicine, 29(29), 3046-3067. DOI: https://doi.org/10.1002/sim.4040
Tikkanen, H., & Pölönen, P. (1996). Business process re‐engineering projects in Finland: An evaluation of change management in 21 large Finnish organizations. Business process re-engineering & management journal, 2(3), 10-25. DOI: https://doi.org/10.1108/14637159610151181
Tsai, K.-C., Lai, J.-W., Hwang, Y.-C., Lin, S.-L., & Weng, C.-H. (2004). Research and application of double-core buckling restrained braces in Taiwan. Paper presented at the Proceeding of the 13th World Conference on Earthquake Engineering, Paper.
Uganda, B. O. (2011). Financial stability report.
Valdez-Juárez, L. E., García-Pérez de Lema, D., & Maldonado-Guzmán, G. (2016). Management of knowledge, innovation and performance in SMEs. Interdisciplinary Journal of Information, Knowledge, and Management, 11(4), 141-176. DOI: https://doi.org/10.28945/3455
Vally, S., & Spreen, C. A. (2012). Human rights in the World Bank 2020 education strategy. In The World Bank and Education (pp. 173-187): Brill. DOI: https://doi.org/10.1007/978-94-6091-903-9_12
Villasenor, J., West, D., & Lewis, R. (2015). The 2015 Brookings financial and digital inclusion project report: Measuring progress on financial access and usage: Brookings Institution Press.
Wickens, J., & Kötter, R. (1995). Cellular models of reinforcement.
Wilkinson, A., & Mangalagiu, D. (2012). Learning with futures to realise progress towards sustainability: The WBCSD Vision 2050 Initiative. Futures, 44(4), 372-384. DOI: https://doi.org/10.1016/j.futures.2011.12.001
Xin, C. (2009). Approaching to application of business process re-engineering and information strategy and technology. Paper presented at the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009). DOI: https://doi.org/10.1109/CASE.2009.142
Yamane, T. (1973). Research Methodology/Sample Size. Florida: University of Florida.
Zhu, Z., Zhao, J., & Bush, A. A. (2020). The effects of e-business processes in supply chain operations: Process component and value creation mechanisms. International Journal of Information Management, 50, 273-285. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.07.001