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Several studies have shown that economic shock and crisis trigger companies to move forward innovatively. This paper aims to compliment this research topic by investigating how SMEs activate their organization resilience to adapt to changes generated by a crisis, with specific focus on how digitalization is used as an opportunity on this road. COVID-19 pandemic provided the context to investigate this situation.

The research approach combines literature review, quantitative data survey and data analysis and modeling using PLS-SEM. The quantitative data survey provided the database for building the structural equation model, exploring the structural relationships between the constructs and testing the hypotheses. Expert discussions contributed to the validation and interpretation of the results.

The model reveals that while organizational resilience has no direct effect on digitalization, combined with available resources, it realizes its indirect impact. Resilient companies require less external financial support to achieve their digitalization goals. The results also confirm that an uncertain environment encourages SMEs to go digital.

Several research studies highlighted the importance of SMEs in recovery from crises. Knowing more about how they can be supported and what capabilities they should develop is essential. This research explores the relationship between organizational resilience, resource availability and digitalization for SMEs in crises like the COVID-19 pandemic, revealing the self-reinforcing effect of organizational resilience and the level of digitalization that was not previously studied.

The purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.

A real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.

The essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.

Increasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.

The purpose of this paper is to discover how Hungarian manufacturing companies interpret technology and human resources as driving forces and barriers in terms of Industry 4.0 implementation.

The authors conducted 23 semi-structured interviews with corporate leaders and applied qualitative content analysis using Atlas.ti software.

The authors formulated a new definition of Industry 4.0 which emphasises the role of human factors. The authors identified driving forces (efficiency with speed/information flow/precision) and barriers (technology compatibility, human fears and lack of digital skills) in terms of Industry 4.0 implementation and developed the DIGI-TEcH performance management dimensions.

Comparison with other countries is limited. Given the exploratory and qualitative nature, further quantitative research would be needed to generalise results. Finally, only manufacturing companies are examined.

It provides empirical evidence to practitioners to understand concerns about technology and human resource in terms of Industry 4.0 implementation. In addition, corporate performance management can be extended by the developed DIGI-TEcH dimensions.

This paper reveals key evidence for the uptake of technology and human factors in terms of Industry 4.0 implementation and their impacts on corporate operation and performance. It also provides an insight into a specific country context, which can be a useful benchmark for other Central and Eastern European countries.