Developing organizational resilience from business process management maturity

Larissa Alves Sincorá, Marcos Paulo Valadares de Oliveira, Hélio Zanquetto-Filho and Murilo Zamboni Alvarenga

Innovation & Management Review, 2023, vol. 20, issue 2, 147-161

Abstract: Purpose - In the current business context, there is a current need to adopt contemporary practices of process management as a competitive advantage to leverage organizational results. This study aims to explore such relationships, considering the performance results in the organizational resilience (OR) dimension. Design/methodology/approach - The authors collected 82 valid responses from a survey targeted at professionals occupying positions or functions in the operations area. For data analysis, the authors used the technique of structural equation modeling (SEM) using the partial least squares (PLS) algorithm. Findings - The results show that maturity in the management of business processes positively influences the behavior of OR, with the highest level of maturity primarily being responsible for this impact. This result reveals that resilience naturally depends on mature and well-established processes in the organizational structure. The proposed model explained 78.5% of OR. Practical implications - Companies that maintain mature management of their business processes will be better able to positively influence OR since process management can make organizations less fragile supply chains and more adaptable to changes. Originality/value - The findings helped clarify the extent to which process management influences the results of OR. Although the literature indicates that maturity in business processes is formed by five first-order constructs, only the “innovated” dimension proved to be significant in the present study.

Keywords: Processes management; Process maturity; Organizational resilience; Performance; Structural equations (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:inmrpp:inmr-11-2021-0219

DOI: 10.1108/INMR-11-2021-0219

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