Business process reengineering in developing economies Lessons from microfinance institutions (MFIs) in Uganda

• Autor(a) principal: Nkurunziza, Gideon
• Data de Publicação: 2019
• Outros Autores: Munene, John, Ntayi, Joseph, Kaberuka, Will
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista de Administração e Inovação
• DOI: 10.1108/INMR-03-2018-0010
• Texto Completo: https://www.revistas.usp.br/rai/article/view/160155
• topic: Business process reengineering performance; Institutional leadership; Organizational adaptability

Abstract Purpose – The purpose of this paper is to study the relationship between organizational adaptability, institutional leadership and business process reengineering performance using the tested complexity theory in a developing economy setting. Design/methodology/approach – This study is correlation and cross-sectional and adopts institutionallevel data collected via questionnaires from reengineered microfinance institutions in Uganda. Cluster analysis as data mining technique was used to classify cases based on respondents’ opinions into homogeneous clusters. Nvivo was used to understand the perceptions of business process reengineering performance based on qualitative data. The authors used structural equation modeling to derive the predictive model of business process reengineering performance in a developing world setting. Findings – The authors find that organizational adaptability and institutional leadership are key predictors of business process reengineering performance. Results reveal a predictive model of 61 per cent based on structural equation modeling for the study variables. Cluster analysis as data mining approach explored complex patterns of reengineered business processes. Research limitations/implications – The use of cluster analysis is susceptible to problems associated with sampling error and absence of fit indices. However, the likelihood of these problems is reduced by the interaction with the data, practical implications and use of smart partial least square to generate structural equations based on derived measurement models of each study variable. Practical implications – Policymakers of Bank of Uganda, Ministry of Finance and Economic Planning, should develop sound policies in relation to knowledge management, institutional leadership and adaptive mechanisms to enhance business process reengineering performance to take advantage of new knowledge opportunities for the improvement of their businesses. Social implications – Given the results from structural equations generated, managers need to consider institutional leadership and organizational adaptability as key drivers of business process reengineering performance in microfinance institutions. The results confirm the significant role of institutional leadership, organizational adaptability in determining business process reengineering performance outcomes. Originality/value – Unlike most of the business process reengineering literature, this study contributes to literature by domesticating and testing complexity theory to explain business process reengineering performance in developing economies.