Digital entrepreneurship is an essential driver within the innovation system. It changes the structure, aims, and networking mechanisms of the overall business system and, ultimately, affects the various levels and dimensions of the innovation system. Bringing inevitable changes to the innovation system, digital technologies may not only provide new business opportunities but also be disruptive and cause new vulnerabilities. In order to gain a rigorous understanding of the hybrid concept of digital entrepreneurship and its role within the transformation of the innovation system, we conducted a systematic literature review. The results of 52 core papers allow for the identification of key categories of digital entrepreneurship and also its differentiation from other types of business activities. The analysis leads to the distinction of the determinants of digital entrepreneurship within three core dimensions of the innovation system, which encompass the entrepreneur (including, e.g., behavioral, competence. and mentality patterns, as well as personal outcomes and consequences of entrepreneurial activity), the entrepreneurial process (including activities that concern digitalization in organizational management processes, transformations within strategic and operational activities, and digital start-up establishment), and its relevant ecosystem (which encompasses, among others, the influence that external infrastructure and institutions have on digital entrepreneurship development). The systematization of the existing literature is highly relevant for future research that aims to understand the interrelations between the transformation of entrepreneurial structures within innovation systems as well as the socioeconomic system in general. Such understanding requires further extended research in fields related to method, content, and theory.

Digital transformation affects socioeconomic systems, bringing inevitable changes to business processes, particularly those related to resource demands, networking processes, and communication mechanisms within entrepreneurial activities. Furthermore, digital transformation leads to unintended side effects on the societal system and affects the competitiveness, resilience, and viability of the overall innovation system. It also fosters the formation of new business models or the reshaping of existing ones and determines digital entrepreneurship as a process or as an outcome of business activity. The tendencies of digital entrepreneurship differ concerning the underlying innovation system conditions. The analysis and the systematization of categories and performance indicators of digitalization and digital entrepreneurship provide a framework for micro- and macro analytic perspectives. This research aims to provide a theory-based systematization of the existing performance indicators that characterize digital entrepreneurship, with a particular focus on compound indicators that characterize the tendencies of digital entrepreneurship on a country basis in the period from 2016 to 2019. As a theoretical basis for categorization and further analysis of the indicators, we applied a set of 10 determinants of digital entrepreneurship. These determinants cover a broad range of elements (from individual patterns to organizational management processes and the influence of external infrastructure and institutional settings) that define the phenomenon of digital entrepreneurship within three core dimensions: the entrepreneur, the entrepreneurial process, and the relevant ecosystem. We defined how the subindices of the chosen compound indicators are interrelated with the determinants of digital entrepreneurship. Further correlation analysis was applied in order to define the systematic interrelations between the different dimensions of digital entrepreneurship as part of a socioeconomic system.

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During the last several decades, the concept of social innovation has been a subject of scientific and practical discourse. As an important paradigm for innovation policies, social innovation is also an object of criticism and debate. Despite a significant proliferation of literature, the rate at which social innovation is a catalyst for coping with challenges of modern societies remains unclear. The goal of the paper is to gain a better understanding of social innovation by integrating past and present views on the concept. Applying a historical overview covering the period from the 19th to the 21st century, we outline the milestones in the evolution of social innovation and distinguish seven trajectories that illustrate the commonalities in its interpretation. We consolidate the findings into a three-dimensional model that defines social innovation as an intervention that is targeted toward structural changes within a social dimension that, in terms of different functional settings (e.g., technological, business, organizational), are oriented on systemic improvements of societies. Reflecting on future avenues, we consider social innovation as an integrative part of a holistic intervention that acts across single societal dimensions and provides systemic impact for the sustainable development of societies.

Background: Nowadays the emphasis on social components in the general mainstream of innovation activity is one of the strongest grounds for the successful functioning and development of enterprises. In several countries, social innovation activity is becoming a product of business in general, with associated expectations regarding profit.Objectives: The goal of the article is to develop a toolkit for the evaluation of the influence of the macro-environment on the social innovation activity (SIA) of enterprises.Method: The methodology includes elements of theoretical and empirical research with the implementation of methods such as a literature review, all types of analysis, and methods of aggregation and integration. Questionnaires were used as a means of data collection.Results: The general methodological framework of diagnostics of the SIA macro-environment is distinguished. Based on a theoretical analysis of the SIA ecosystem and the experience of operating enterprises, the main factors of SIA macro-environment are determined. The general integrated index and its five-level interpretational model are proposed as a measure for the evaluation of the SIA macro-environment.Conclusion: The results presented provide data necessary for the argumentation of SIA strategy and tactics, as well as investment policy in this sphere.

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Educational measures in line with challenges related to increasing complexity need to go beyond traditional educational means and require the integration of the basic competences of systems thinking and complexity understanding. In addition, the chapter argues for a transdisciplinary approach, based on knowledge integration across disciplines and between science and practice together with supporting communication patterns and strategies. In order to train current and future generations for this kind of transition process, with the aim of making this emergent digital environment ecologically and socially sustainable, we must consequently adopt digital literacy as well as complexity understanding and systems thinking in sustainability education more consistently.