Digital technologies represent an important factor in the achievement of the sustainability goals of the European Green Deal. Whether the digitalisation trend will contribute to the sustainable development of societies in the long term depends on how we shape and understand it. The aim of this paper is to create a concept for the management of the threats and opportunities in the digital transformation of SMEs. As part of a broader research project, a complex tool was developed to assess the digital maturity of SMEs, and our paper focuses on one aspect of this tool, which is related to the identification and management of the opportunities and threats that are associated with digital transformation trends. The methodology that was used to develop this paper is based on a pilot survey that involved 154 SMEs in the Czech Republic, 74 of which were used for the follow-up survey on the opportunities and threats. Sixteen key trends were identified, which were then reduced to five latent factors, with their names forming five dimensions. In the cluster analysis, the companies were divided into three clusters, which served as the basis for determining the final cluster centres. The result is a concept for the management of the threats and opportunities in the digital transformation of SMEs. Digital transformation is the broad topic. Therefore, the theoretical overlap of this study can be seen in the narrower focus on the identification and management of the opportunities and threats in digital transformation. In addition, this study focuses on SMEs because there are more than one million small and medium-sized enterprises in the Czech Republic, and they create 54% of the innovative solutions. The practical impact of this study can be understood in the fact that the proposed concept may enable SMEs to more easily manage threats and opportunities in their digital transformation.

Purpose: This paper presents a predictive model for strategic management of B2B customer satisfaction, designed for Quality 5.0 challenges and situations with limited data. Methodology/Approach: A two-phase methodology was used. In the first phase, the methodology identifies key quality factors using focus groups and online surveys. In the second phase, a trend model is derived from a numerical correlation matrix that describes all past and possible future states of the system. Findings: The results show two main strategies (dynamic and conservative) for transitioning from declining satisfaction to growth. It was found that this goal can be achieved by managing fully controllable factors such as website navigation, information complexity, and graphic design quality. Research Limitations/Implications: By focusing on qualitative scenarios, the model is effective in environments with insufficient data and opens up possibilities for future expansion with fuzzy logic. Originality/Value of Paper: The presented model is an innovative formal tool that complements existing quantitative methods in areas where data is lacking. Its value lies in its function as a strategic management simulator that converts qualitative descriptions of trends into structured action scenarios, thereby strengthening managerial decision-making in the context of Quality 5.0.