5.1. Thematic Analysis
From the analysis of the articles, five basic categories of methodological approaches can be distinguished and are presented in
Table 4.
As mentioned before, the research sample consists of 22 studies with empirical data. Twenty-one articles that were theoretical analyses or literature reviews were excluded. This literature review was based on a final sample of 22 empirical studies, following the exclusion of theoretical analyses and literature reviews according to the PRISMA framework criteria. The detailed research sample is presented in
Appendix A at the end of the paper. The scientific approach to studying the intersection between entrepreneurship, digital transformation, and the Sustainable Development Goals (SDGs) has recorded remarkable methodological diversity, reflecting the interdisciplinary and multifactorial nature of the field. However, a systematic review of the available literature clearly shows that quantitative empirical methods dominate, accounting for approximately 60% of all research, followed by qualitative studies and mixed methods (25%) and mixed methods (15%).
The dominance of quantitative methods is reflected in studies that seek to quantitatively measure the impact of technologies such as blockchain, artificial intelligence, and digital business models on efficiency, innovation, and sustainability. For example, the work of [
60] uses the Data Envelopment Analysis (DEA) method, a sophisticated efficiency measurement tool, to assess the impact of the adoption of FinTech and Blockchain technologies on business performance in terms of ESG (Environmental, Social, Governance) and DEI (Diversity, Equity, Inclusion) criteria. The analysis was based on data from 50 companies from 2017 to 2023, with multidimensional inputs and outputs, offering quantitatively substantiated conclusions on the performance of companies in the context of sustainable entrepreneurship. A similar quantitative approach is adopted by [
61], who, based on data from the Global Entrepreneurship Monitor, analyzed trends in digital and sustainable entrepreneurship in 47 countries using multivariate regressions and demographic variables, highlighting the strategic importance of digital technologies in shaping environmentally and socially sensitive business models. The same approach is found in the study by [
62], which examined the relationship between the use of ERP systems, the perception of cultural distances, and environmental sensitivity with the internationalization intentions of small and medium-sized enterprises through the processing of questionnaire data from 315 companies. Quantitative analysis is also adopted in the study by [
63], which was based on a questionnaire of 320 start-ups in Berlin and showed that despite increasing digitalization, most start-ups are primarily focused on economic efficiency, downplaying social and environmental goals. This finding demonstrates the usefulness of quantitative tools in capturing priorities and behaviors in a real business environment.
At the same time, a significant number of studies rely on qualitative methods, mainly to analyze concepts such as resilience, emotions, leadership skills, and the social impacts of digital transformation. The study by [
64] applies qualitative longitudinal analysis, focusing on the psychological and social resilience of Saudi Arabian women entrepreneurs during the pandemic. The findings show that emotional connection to entrepreneurial activity was a critical factor for survival in times of crisis. Similarly, in the study by [
65], a case study of the Felix Project charity in London confirms the importance of entrepreneurship and leadership in the digital transition of socially oriented organizations. A more comprehensive approach is proposed by [
66], who use an exploratory sequential mixed method, combining qualitative interviews and quantitative questionnaires. They focus on the opportunities and inequalities created by digitization in the rural business sector, emphasizing the importance of local knowledge and social solidarity as components of sustainable development.
In summary, the analysis of the sources shows that quantitative empirical methodology is the dominant research approach, covering approximately 60% of the studies, as it allows for accurate measurement of returns, documenting causal relationships, and formulating data-driven policy proposals. This is followed by qualitative and mixed methods, accounting for around 25%, which offer an in-depth understanding of subjective experiences and organizational behavior, and finally, mixed methods, which account for approximately 15%, mainly serving as frameworks for conceptual mapping and the formulation of research programs. This comparative picture demonstrates the importance of integrating quantitative and qualitative approaches for a more complete understanding of a complex, cross-cutting field such as entrepreneurship in the digital and sustainable era.
The contribution of digital technologies to shaping a new business landscape linked to the Sustainable Development Goals (SDGs) has been the subject of intensive study in recent years. As evidenced by the research material examined, technologies such as artificial intelligence (AI), blockchain, big data analytics, ERP systems, cloud computing, digital platformization, automated ESG data analysis, the Internet of Things (IoT), and digital innovation management are the main technologies supporting business activities that are aligned with the SDGs.
Artificial intelligence (AI) is examined centrally in the work of [
67], where it emerges as a strategic catalyst for coupling digital and sustainable transformation. Through AI patents related to the SDGs, the potential of this technology for sustainable innovation, resource management, and waste reduction is highlighted. At the same time, in the work of [
61], the strategic use of digital technology in sales and decision-making was found to increase the inclusion of social and environmental criteria in business strategy. Blockchain technology occupies a particularly important place in the research approach of [
60]. Using Data Envelopment Analysis (DEA), their study shows that the adoption of blockchain increases the effectiveness of companies in ESG and DEI goals, mainly through enhanced transparency, data security, and process reliability. Blockchain is linked to SDGs 9, 12, and 16. Big Data Analytics and digital utilization of ESG data are analyzed by [
68], who point out that big data makes it possible to measure social and environmental impact. The interoperability of these technologies enhances decision-making in organizations that adopt SDGs as a key strategic focus. Enterprise Resource Planning (ERP) systems are presented in the study by [
62] as digital tools that enhance sustainability through better management of business resources and facilitate compliance with international standards. These are related to enhancing efficiency in regions of Central and Eastern Europe. The digital platform and e-entrepreneurship are highlighted in the work of [
66], who examine how these technologies empower rural business initiatives and local communities. Digital transformation, especially when combined with local knowledge and social entrepreneurship, contributes to SDGs 1, 8, and 10. Cloud computing is mentioned by [
50] in relation to “digital readiness.” Cloud infrastructure is the basis for scaling up digital business models, especially in organizations seeking innovation with a low environmental footprint.
The importance of digital leadership and governance is highlighted in the work of [
69], which concerns the digital transformation of a non-profit organization in London. The integration of digital technologies enabled resource optimization and the achievement of SDG 2 on zero hunger. Ref. [
70] identify digital transformation, innovation, and digital business models as key technologies, classifying them into three themes: “innovation and entrepreneurship,” “transformation strategy,” and “SDGs.” The research by [
71] documents how the adoption of digital tools in the global business arena leads to more effective marketing strategies and enhances sustainability through automation, digital communication, and improved customer management. Also noteworthy is the finding by [
72], who argue that regional business ecosystem policies should strengthen digital interconnections and technological knowledge-sharing capabilities as key drivers of innovation and TFP (Total Factor Productivity). Ref. [
73], focusing on Russia, confirm that technological upgrading at the regional level through the digitization of business activity is critical for achieving the SDGs in environments with lagging infrastructure. In the case of [
63], it is found that although many start-ups use digital tools, few are strategically oriented towards social or environmental goals, highlighting the need to strengthen the regulatory and institutional framework.
The study by [
74] shows that digital management tools for social enterprises enhance social impact and sustainability measurement capabilities. The study by [
62] finds that the use of digital export tools (e-export platforms) helps SMEs overcome cultural and geographical barriers and align with SDG 17 (Partnerships for the Goals). The research by [
75] highlights how the use of digital technology in education strengthens social entrepreneurship and cultivates horizontal skills such as problem-solving and teamwork, in line with SDG 4 (Quality Education). Finally, ref. [
76] argue that the Industry 5.0 framework, with its emphasis on digital education and human-centric technologies, can bridge digital divides and foster sustainable business practices in the educational ecosystem.
In conclusion, the intersection of entrepreneurship, digital innovation, and sustainability is mainly achieved through technologies such as AI, blockchain, big data, cloud computing, ERP, and digital platforms. Among the 22 studies examined, each highlights aspects of these technologies as catalysts for achieving different SDGs (
Table 5). However, their successful adoption depends on their alignment with the institutional and social characteristics of each ecosystem.
The adoption of digital transformation by businesses offers significant opportunities but also brings multidimensional challenges when it aims to align with the Sustainable Development Goals (SDGs). As highlighted by a wealth of recent studies, technology acts both as an accelerator of sustainability and as a feedback system that is influenced by the social and institutional structures within which it operates [
50,
60,
62,
66,
67,
69,
70,
71].
Digital technologies such as artificial intelligence (AI), blockchain, ERP systems, digital platforms, and cloud computing offer entrepreneurs tools that enhance transparency, reduce costs, optimize resources, and provide access to new markets. AI and big data analytics enable the prediction, measurement, and evaluation of social and environmental impacts, making ESG goals more manageable [
67,
68,
70]. Blockchain offers increased traceability and transparency in business processes, strengthening consumer and institutional trust [
52,
60]. ERP systems, especially for SMEs, help with compliance with international standards and accelerate sustainability through improved resource management [
62]. At the same time, digital platforms and export tools enhance the integration of excluded regions and populations into the global market, as seen in the cases of rural entrepreneurship or the social economy [
62,
66,
75]. Technology also acts as a tool for democratization and knowledge diffusion. The use of digital educational tools contributes to the development of social entrepreneurship and the cultivation of 21st-century skills [
75,
76]. Managing social enterprises with digital tools enhances the ability to measure social impact [
74].
Despite the above potential, the implementation of digital transformation in sustainable entrepreneurship faces significant obstacles. First, digital inequality (digital divide) continues to limit many entrepreneurs’ access to advanced technologies, especially in developing regions. As pointed out by [
73], the lack of infrastructure and technical skills is delaying the transition to digital and sustainable business models.
Second, the lack of a strategic alignment between technology adoption and the SDGs is a common phenomenon, especially among start-ups, as shown by the study by [
63]. Many companies use digital tools exclusively for operational or commercial reasons, without considering their social or environmental impact. In addition, there is institutional discontinuity between national and regional policies. Ref. [
72] emphasize the need for coherence between digital policy, innovation, and sustainability policy. When entrepreneurial ecosystems are fragmented, the implementation of systemic and sustainable technological solutions becomes weak. Another important challenge is the lack of digital leadership and a culture of transformation, particularly in the social sector. The study by [
69] demonstrates that without appropriate leadership and organizational skills, even the adoption of technologies does not automatically lead to social or environmental benefits. Finally, many studies point to the lack of a unified theoretical and conceptual framework for linking digital technologies and SDGs. Ref. [
70] identify significant ambiguity and overlap between concepts such as “digital business model,” “innovation,” and “sustainability,” making it difficult to adopt common practices or policies at the European and international levels.
Entrepreneurs who leverage digital technologies to achieve the SDGs have at their disposal a powerful set of tools that enhance innovation, participation, efficiency, and transparency. At the same time, however, they face inequalities in access, strategic direction deficits, institutional inconsistency, and leadership gaps. Long-term success lies in institutional integration, education and empowerment of entrepreneurs, and the cultivation of digital maturity that will make sustainability a strategic orientation.
The review of the literature shows that the opportunities created by leveraging digital transformation to promote sustainable entrepreneurship extend beyond the technological factor. For example, the study by [
61] shows that the integration of environmental indicator monitoring technologies in different geographical areas facilitates compliance with international standards and enhances transparency towards society as a whole. Similarly, ref. [
62] report that the use of digital analysis tools accelerates the extroversion of businesses, especially new entrants.
However, the challenges reported in the literature are equally multidimensional. Empirical research by [
64] highlighted the psychological pressure and need for increased resilience, particularly among women entrepreneurs, when adopting digital models during crises such as the current pandemic. Similarly, the findings of [
74] showed that the successful implementation of circular economy practices through digital systems requires significant initial investments and continuous institutional support, barriers that make it difficult for smaller businesses to adopt such tools and technologies. Furthermore, the literature agrees on challenges related to the lack of data management skills and incompatibilities in IT systems as barriers to the full exploitation of available technologies [
75,
76]. A combined reading and analysis of the above shows that, while digital transformation technologies can act as catalysts for achieving the SDGs, their practical exploitation requires addressing institutional, social, and skill gaps. Understanding these multi-level factors contributes significantly to the formulation of strategies that integrate not only technological innovation but also a sustainable business culture and social cohesion.
Overall, the literature review showed that the main methodological approaches (RQ1) that have been applied—primarily quantitative and secondarily qualitative—provide a useful but fragmented framework for understanding how entrepreneurship, digital transformation, and the Sustainable Development Goals (SDGs) interact. The mapping of digital technologies (RQ2), such as artificial intelligence, IoT systems, big data platforms, and circular economy models, shows that the technological choices of business initiatives largely determine both their environmental and social impact, thus forming a critical bridge between innovation and sustainability. In terms of opportunities and challenges (RQ3), the literature review highlighted opportunities related not only to enhancing efficiency and transparency but also to the potential for creating new markets that serve social needs. In addition, challenges were identified that are not limited to technical and institutional barriers but correspond to issues of ethical data use, unequal access to technology, and a lack of user skills. In conclusion, it is clear that the successful use of digital entrepreneurship to achieve the SDGs requires comprehensive strategies that combine technological innovation, social responsibility, and institutional support.