Human-centric process improvement through digital transformation: contributions and limitations
Abstract Paper aims This study investigates integrating digital transformation, human factors, business process management, and emerging technologies to improve organisational efficiency and employee well-being. The research aims to develop a conceptual model that optimises digital processes while reducing the cognitive load on employees. Originality The research fills a gap in the literature by emphasising the intersection of human factors and digital transformation. It introduces a human-centric approach that balances operational efficiency with employee well-being, which has been underexplored in previous studies. Research method A systematic literature review was conducted using Scopus and Web of Science databases to identify relevant studies. Content analysis was used to extract criteria for each domain, and Structural Equation Modelling (SEM) was applied to analyse complex relationships between digital transformation and human factors. Main findings The results indicate that integrating digital tools into organisational processes optimises workflows and decision-making while mitigating cognitive overload. The proposed model prioritises employee engagement, usability, and well-being alongside technological advancement. Implications for theory and practice This study contributes to the theoretical understanding of digital transformation by integrating human factors. The findings provide a structured pathway for organisations to enhance operational efficiency while safeguarding employee well-being, offering a balanced approach to digitalisation that can be applied in real-world scenarios.
Authors
- Anderson Luis Szejka (ORCID: https://orcid.org/0000-0001-8977-1351)
- Camilla Buttura Chrusciak
- Jones Luís Schaefer (ORCID: https://orcid.org/0000-0001-6225-7782)
- Osíris Canciglieri (ORCID: https://orcid.org/0000-0002-8503-9275)
Institutions
- Pontifícia Universidade Católica do Paraná (BR)
Publication Details
- Journal
- Production
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1590/0103-6513.20240109
- Citations
- 2
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Pontificia Universidade Católica do Paraná