Human-centric process improvement through digital transformation: contributions and limitations

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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.

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Adapting to Working Environment Change: Effects of Mobility and Flexibility
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  • Melissa Promes

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Purpose Digital transformation is a complex and continuous process that presents significant challenges for companies and employees. Employee resistance, a factor often cited for the failure of digital initiatives, hinders these initiatives and contributes to stress, affecting employee well-being – a connection not yet fully explored in extant literature. Therefore, this study aimed to determine the factors that increase employee resistance to digital transformation and how it can be mitigated. Design/methodology/approach This study adopts a multiple case study approach to analyze qualitative data from ten industrial companies in Finland. Findings Factors influencing resistance at the individual, organizational, and technological levels were identified, and three key components of the resistance mitigation strategy from the case companies were identified: learning, communication and participation. The findings, supported by relevant literature, link resistance to employee well-being and propose that the identified mitigation strategy reduces resistance and supports employee well-being during digital transformation. Practical implications This study provides practical implications and suggests avenues for future studies to examine this unsaturated yet important research area. Originality/value This study is among the first to empirically examine employee resistance in digital transformation and link it to employee well-being.

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