The paper analyzes the Digital Economy and Society Index (DESI), which characterizes the development of digital economy. Based on the data of 28 European countries for 2013–2018, using the panel regression, we studied the influence of the consumption index growth by the purchasing power parity and unemployment among the active population on the structural units of DESI. It is shown that a 1% increase in the consumption index results in about 0.2 increase in the DESI, and an increase in unemployment by 1% leads to about 0.2 DESI decline. It is also shown that the 98% value of DESI is actually determined by its previous trends, and therefore it is impossible to increase this index rapidly. Some reflections and conclusions are made on the perspective of the developing states, i.e., Ukraine, that is not yet assessed in DESI ranking.

(1) Purpose: The main objective of this research was to determine if and how the COVID-19 pandemic impacted new entrepreneurial opportunities. The study also focused on finding the means of actions that can positively affect the future entrepreneurial field. (2) Methodology: Initially, the literature review was approached, the complementary evaluation of the researchers’ interest sustaining the timeliness of the analyzed topic. The empirical analysis implied conducting a multiple statistical regression on how the new entrepreneurial opportunities can be affected by relevant variables. (3) Findings: The obtained results highlighted a potential beneficial effect of the COVID-19 pandemic on entrepreneurship, namely determining new entrepreneurial opportunities. The need to consider new directions of action in entrepreneurship was also outlined, the online migration and the adaption to new market configurations being considered essential promoters of change. (4) Practical Implications/Originality/Value: Although existing research focused, to a large extent, on analyzing the COVID-19 pandemic’s effects on entrepreneurship, few of them highlighted a future perspective that would ensure the continuity of entrepreneurial processes in extreme conditions, such as those under study. The present research could contribute to the specialty literature enrichment while serving as guidance to the entrepreneurship practitioners towards the implementation of long-term visions and processes.

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Abstract-Managing customer feedback data has become a necessity for firms in order for them to gain competitive advantage in the sector. Analyzing customer complaints' data to find useful information that's hidden is an important step in understanding customers. This important, hidden knowledge must be extracted automatically to allow firms to gain a better understanding of the general market and of their own and their competitors' customers. A firm can learn the needs of customers and show how its products and services satisfy these needs by analyzing these documents.The aim of this research is to summarize and extract data from unstructured customer feedback documents which are about ignoring subscriptions to a telecommunication firm in Turkey. The data are transformed to a collection of documents by generating a document for each record. Text processing techniques are applied. Cosine similarity analysis is used to classify documents into relevant categories. Clusters are determined.

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