Exploring the diverse nature of business processes in organisations in Industry 4.0/5.0

Abstract The article investigates the differentiation of business processes in contemporary organisations based on their dynamics (predictability). It presents and summarises research on the nature of business processes in Industry 4.0/5.0 conducted by researchers from 7 Polish universities. The study combines a systematic literature review based on the SCOPUS database and a survey of 466 respondents with an analysis of 12,573 processes. Filling the cognitive gap in Industry 4.0/5.0 organisations, the study reveals that nearly 60% of all BPs are semi-structured processes. At the same time, it shows a strong relationship between the importance of processes for the organisation and the dynamics of their execution. This finding highlights the importance of adaptability and flexibility in organisational dynamics, reflecting the nuanced nature of most BPs. The article presents original research on a diverse sample of Polish enterprises based on the simplified Business Processes Nature Assessment Framework. The presented research results indicate the need to update the essential elements of the BPM concept, such as BPM Lifecycle, BPM implementation method, or BPM maturity assessment, to consider various assessment criteria and implementation methods depending on the nature of BPs. The study contributes to advancing both theoretical knowledge and practical applications in the field of BPM, providing valuable insights for scholars, practitioners, and policymakers alike.

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Institutions

Publication Details

Journal
Future Business Journal
Published
2024-11-23
DOI
https://doi.org/10.1186/s43093-024-00395-5
Citations
9
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
4.76
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article

Exploring the diverse nature of business processes in organisations in Industry 4.0/5.0

Justyna Berniak‐Woźny, Marta Podobińska-Staniec, Aneta Napieraj, Piotr Senkus et al.
9 citations
Future Business Journal
Business Process Modeling and Analysis
4.76
article

Exploring the diverse nature of business processes in organisations in Industry 4.0/5.0

Justyna Berniak‐Woźny, Marta Podobińska-Staniec, Aneta Napieraj, Piotr Senkus, Piotr Śliż, Natalia R. Potoczek, Marek Szelągowski
article en
9 citations

Abstract

Abstract The article investigates the differentiation of business processes in contemporary organisations based on their dynamics (predictability). It presents and summarises research on the nature of business processes in Industry 4.0/5.0 conducted by researchers from 7 Polish universities. The study combines a systematic literature review based on the SCOPUS database and a survey of 466 respondents with an analysis of 12,573 processes. Filling the cognitive gap in Industry 4.0/5.0 organisations, the study reveals that nearly 60% of all BPs are semi-structured processes. At the same time, it shows a strong relationship between the importance of processes for the organisation and the dynamics of their execution. This finding highlights the importance of adaptability and flexibility in organisational dynamics, reflecting the nuanced nature of most BPs. The article presents original research on a diverse sample of Polish enterprises based on the simplified Business Processes Nature Assessment Framework. The presented research results indicate the need to update the essential elements of the BPM concept, such as BPM Lifecycle, BPM implementation method, or BPM maturity assessment, to consider various assessment criteria and implementation methods depending on the nature of BPs. The study contributes to advancing both theoretical knowledge and practical applications in the field of BPM, providing valuable insights for scholars, practitioners, and policymakers alike.

Future Business JournalVol. 10(1)
Jagiellonian University (PL), University of Warsaw (PL), Systems Research Institute (PL), AGH University of Krakow (PL), Polish Academy of Sciences (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Business Process Modeling and Analysis
4.76
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