Search Results (75)

This paper presents a systematic review of Tunisian stakeholders’ perceptions of integrating gender into green microfinance business models, analyzed through the lens of the Business Model Canvas (BMC). This systematic review of 32 studies indicates a dual perception of women as both vulnerable victims and active agents in the ecological transition. The BMC-based analysis reveals major weaknesses in the value proposition, distribution channels, and cost structures of gendered green microfinance offerings. Furthermore, we highlight the underexplored role of regulatory frameworks as levers for business model innovation. This study offers an original analytical framework that links gender, environmental sustainability, and microfinance business models, providing actionable insights for policymakers and microfinance institutions seeking to foster inclusive and sustainable financial ecosystems in Tunisia and similar contexts. Full article

This paper proposes a strategic architecture of sustainable system development (SSD) for ESG enterprise transformation, demonstrating its application through a real-world case study on large multi-purpose sports venues (LMPSVs). The research integrates systems thinking, computer-aided dynamic business modeling and digital technologies to support ESG enterprise transformation strategies and business operations. An ESGI (environmental, social, governance, and innovation) framework is proposed to demonstrate the transformation process through empirical data and scenario analysis. Furthermore, this study develops an integrated strategic enterprise architecture (ISEA) to integrate strategic planning with enterprise execution, wherein strategic architecture (SA) takes precedence over enterprise architecture (EA). The SSD-driven SA provides directional strategic guidance integrated with EA. This study prioritizes the construction of SA required for enterprise ESG transformation, serving as a research blueprint for future construction of EA at the technical implementation level. The findings indicate that LMPSVs must adopt integrated transformation strategies, strengthen digital capabilities, and embed ESGI as a core concept to sustain a competitive advantage in volatile environments. The framework offers a systematic and dynamic approach emphasizing inclusive growth, operational resilience, value creation, and sustainable development goals. The study’s originality lies in the SSD-based ESGI framework, which translates conceptual ideas into advanced operational models for scientific management and performance improvement. By integrating cross-disciplinary knowledge, the framework provides a systematic, dynamic, and multi-value-oriented analytical tool that bridges the gap in the existing literature, offering significant value for both theoretical development and practical application. Full article

The adoption of Product-Service Systems (PSSs) is an important strategy for Small and Medium-Sized Enterprises (SMEs), although they face challenges connected to the scarcity of financial, human, and technological resources. Thus, this article seeks to propose a framework that integrates the barriers, drivers, innovation process, and business model elements associated with the adoption of PSSs in Brazilian industrial SMEs to offer guidelines for improvements to the strategies and practices adopted by such enterprises. The research adopted the Fuzzy Delphi method, applied to a panel of ten executives and managers of Brazilian industrial SMEs. This approach was employed to consensually validate a set of variables obtained from recent scientific literature. The results indicate that the adoption of PSSs by Brazilian industrial SMEs is influenced by structural, cultural, and technological barriers, yet driven by factors such as sustainability, customer relations, and competitiveness. Despite the acknowledgement of the importance of innovation, the processes remain little structured, with value proposition, the human factor, and stakeholder relations standing out as central elements in the business models. Through this study proposes specific strategic guidelines for four critical categories: provider enterprise, consumers, PSSs, and environmental aspects. Such guidelines can support managers in formulating practical actions for adopting PSSs, in addition to being replicable by other SMEs with similar characteristics. This research contributes to the literature originally by expanding the knowledge about the reality of PSS adoption by SMEs in emerging economies, thereby bridging a literature gap that still addresses their specificities generically. Full article

Throughout history, cultural heritage has accumulated, and is often embodied in monuments, structures, and notable figures. Cultural heritage preservation and management also include digitalization, allowing tangible monuments to be managed as digital inventory with “digital twins”. This provides innovative ways to experience and interact with the real world, in particular by using modern mobile devices. The digitalization of monuments opens new ways to produce decorative items based on the shape of the monuments. Usually, decorative items are produced by craft businesses, family-run for generations, with specialized skills in metal and stone processing. We developed and tested a methodological proposal for frugal innovation: how to produce decorative items with minimal costs based on digital twins, which are particularly in demand in tourism-driven countries like Croatia. A micro-business with three employees, specializing in “metal art,” aims to innovate and expand by producing small-scale replicas of cultural heritage objects, such as busts, statues, monuments, or profiles. A method has been developed to create replicas in the desired material and at a desired scale, faithfully reproducing the original—whether based on a physical object, 3D model, or photograph. The results demonstrate that this sustainable frugal innovation can be successfully implemented using affordable tools and licenses. Full article

This study examines the dynamic interconnection between entrepreneurship, digital transformation, and the Sustainable Development Goals (SDGs), placing the research question in a broader socio-technological context. The research was based on a descriptive review of 22 empirical studies drawn from the Scopus database and related to technological innovations adopted by business initiatives aimed at sustainable development. A total of 314 records were identified, 180 screened, and 22 empirical studies included. Studies originated primarily from Europe and Asia and applied quantitative (60%), qualitative (25%), or mixed methods (15%). Through thematic analysis, the dominant technologies (such as artificial intelligence, blockchain, ERP systems, digital platforms, and ESG data analysis) were identified, as well as the methodological approaches followed in the relevant international literature. The main findings indicate that digital transformation offers significant opportunities to enhance innovation, transparency, and social inclusion. However, challenges also arise, such as digital inequalities, the lack of a strategy for alignment with the SDGs, and institutional weaknesses. In conclusion, the transition to sustainable digital business models requires a multidisciplinary approach, strengthened leadership, educational interventions, and institutional support. This study contributes theoretically and practically to the ongoing scientific dialogue on sustainable and digitally supported entrepreneurship. Full article

Miao embroidery holds significant cultural, economic, and aesthetic value. However, its transmission faces numerous challenges: a high learning threshold, a lack of interest among younger generations, and low production efficiency. These factors have created obstacles to its sustainable development. In the age of artificial intelligence (AI), generative AI is expected to improve the efficiency of pattern innovation and the adaptability of the embroidery industry. Therefore, this study proposes a Miao embroidery pattern generation and application method based on Stable Diffusion and low-rank adaptation (LoRA) fine-tuning. The process includes image preprocessing, data labeling, model training, pattern generation, and embroidery production. Combining objective indicators with subjective expert review, supplemented by feedback from local artisans, we systematically evaluated five representative Miao embroidery styles, focusing on generation quality and their social and business impact. The results demonstrate that the proposed model outperforms the original diffusion model in terms of pattern quality and style consistency, with optimal results obtained under a LoRA scale of 0.8–1.2 and diffusion steps of 20–40. Generated patterns were parameterized and successfully implemented in digital embroidery. This method uses AI technology to lower the skill threshold for embroidery training. Combined with digital embroidery machines, it reduces production costs, significantly improving productivity and increasing the income of embroiderers. This promotes broader participation in embroidery practice and supports the sustainable inheritance of Miao embroidery. It also provides a replicable technical path for the intelligent generation and sustainable design of intangible cultural heritage (ICH). Full article

Background: The global space economy has grown remarkably, witnessing a 10-fold increase in active satellites during the last 15 years. This growth was accompanied by both the increase in geopolitical tensions feeding huge investments (the New Space Race), on the one hand, and the transformation, shifting from a domain historically dominated by government-led programs to one partially energized by commercial players and innovative business models (“New Space”), on the other hand. Objective: To assess the space economy’s current state and future prospects by considering its economic and social dimensions. Methods: Over 120 scholarly articles and “grey” literature positions (e.g., industry reports) were reviewed. The review was structured by a modified Structure–Conduct–Performance framework originally developed by industrial organization (IO) scholars. Findings: Outer space creates extremely harsh conditions for placing and operating objects in orbits, which results in high launching costs, steep reliability standards, capital intensity, and risks that are unmatched in most terrestrial industries. One of the main motivations to venture into this harsh domain was, and still is, the desire to dominate or the fear of being subjugated by others. This “original sin”, born of geopolitical rivalries, continues to cast a shadow over the space economy, channeling the majority of public space budgets into military-related programs. Moreover, many space technologies have a dual-use feature. Not surprisingly, governments are still the major source of demand, dominating midstream in the space value chain. This triad—harsh physics, great power rivalry, and a state-centric midstream—produces a specificity of the sector. In the recent two decades, new entrants (called “New Space”) have begun altering market structure, resulting in new conduct patterns focused on pursuits towards serial production, reusability, and lowering costs. Performance outcomes are mixed. While some efficiency gains are unprecedented, some doubts about market power and negative externalities arise. The assessment of the space economy’s performance is a challenge, as such, due to the blurred boundary between political objectives (supplying public goods, mitigating negative externalities) and economic optimization. Such trade-offs are becoming even more complicated considering the potential conflict between national and global perspectives. The paper offers a preliminary, descriptive study of the space economy through the lens of the modified S-C-P framework, laying basic foundations for the future, possibly more rigorous research of the increasingly important space economy. Full article

This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas and eventually co-create. It is a digital means for this triad of actors (among other potential ones) to better adjust their requirements. It includes an app that easily communicates with a database of projects, innovation agents and their profiles, and the originality lies in the matching algorithm. Thus, co-creation can have better support through this assertive interconnection of players and their resources. This work also highlights the usefulness of the Canvas Business Model in structuring the idea and its dashboard, allowing a comprehensive view of channels, challenges and gains. Also, the potential of machine learning in improving matchmaking platforms is discussed, especially when technological advancements allow for forecasts and match people at scale. Full article

Businesses in the hotel and hospitality sectors face significant challenges when they lack originality and creativity. Creativity and innovative behavior are both necessary to increase employee effectiveness. This study aims to investigate how psychological empowerment (PEMP) directly affects employee creativity (EC) and affective commitment (AC) in the Saudi hotel industry. Additionally, this study examines the moderating function of psychological safety (PS) and the mediating role of affective commitment. Data were collected through an online cross-sectional survey of a purposive sample of 536 operational staff at hotels in the Eastern Region of Saudi Arabia. Structural equation modeling was used to test the proposed framework (PLS-SEM). Surprisingly, these findings revealed no significant direct effect of PEMP on EC. However, AC has emerged as a crucial mediating mechanism through which PEMP indirectly fosters creativity. Furthermore, psychological safety (PS) is found to moderate the PEMP–EC relationship, enhancing its impact under favorable conditions. These results highlight the theoretical and practical significance of emotional commitment as a conduit for empowering employees to engage in creative behavior. This study offers new insights into how psychological and organizational factors interact to shape creativity in the hospitality context. Full article

Financial and administrative management models are crucial to the success of digital ventures, providing practices that optimize resource management and support strategic decision-making in dynamic digital environments. This study presents an original systematic literature review (SLR) following the PRISMA guidelines, analyzing 354 articles extracted from Scopus and Web of Science databases. Bibliometric techniques, including VOSViewer 1.6.19 version and R-Bibliometrix software 4.3.3 version, were used to identify key research themes, emerging trends, and future directions in the field. A notable 114.29% increase in academic output from 2019 to 2024 underscores the growing importance of these management models. The analysis reveals a focus on financial management tools (e.g., Valuation, Discounted Cash Flow models) and administrative models (e.g., RocaSalvatella, INCIPY), while also exploring the challenges and opportunities present in digital environments. The interaction between external variables (resource management, operational efficiency, adaptability, financial planning, technological innovation) and internal variables (market conditions, government regulations, economic trends) is discussed. This study highlights the integration of agile methodologies, such as Lean Startup, and the growing emphasis on digital resilience, organizational agility, and the impact of digital transformation on business models. The theoretical contribution of this study lies in offering a comprehensive framework that synthesizes existing models, highlights key research gaps, and emphasizes the need for future studies on the dynamic interaction between financial planning, technological innovation, and organizational agility. From a practical perspective, the findings provide digital entrepreneurs and managers with valuable insights into implementing financial tools and administrative frameworks that enhance decision-making, while also underscoring the importance of agility, operational efficiency, and market adaptability to navigate digital disruptions. Full article

This study aims to analyze the shifting focus and emerging themes in contemporary energy entrepreneurship research, alongside the challenges and opportunities faced by select energy entrepreneurs in a rapidly transforming global landscape that is driven by sustainability imperatives, resilience, and systemic energy transitions. Employing a semi-systematic and critical literature review, 238 relevant scientific articles from the Web of Science database were identified and analyzed. We then conducted focused case studies of energy entrepreneurs in a less-developed regional ecosystem. The findings reveal two distinct “generations” of energy entrepreneurship research, marked by a clear shift towards sustainability themes, innovative energy business models, and corporate responsibility. Additionally, we introduce the “Energy Innovation Scorecard” (EN.I.SCORE) framework—a comprehensive macro–meso–micro guideline designed to support energy entrepreneurs. Applying this framework to a sample of 89 surveyed and 8 interviewed firms reveals that, especially among microfirms, there is weak integration of strategy–technology–management, limited energy innovation, and poor financial performance prevail—challenges typical of underdeveloped ecosystems. By examining the origins, evolution, and holistic transformation of energy entrepreneurship, and by investigating the selected regional case, this research potentially helps bridge critical gaps in understanding the dynamics of this field. Full article

The Clean Propulsion Technologies (CPT) project, established in 2021, brought together 15 research partners and original equipment manufacturers. The goal was to create a common vision and sustainable business solutions so that the worldwide technological leadership of the Finnish powertrain industry is secured. With a EUR 15.5 M budget, CPT brought early-stage innovative concepts towards technology readiness level (TRL) 6. The project’s particular significance was its unique cross-coupling of marine and off-road sectors, which have similar emission reduction targets but which do not compete for similar customers. The project yielded 21 innovative solutions, from accelerated model-based design methodologies and progress in combustion and aftertreatment control to hybrid energy management solutions. These were encapsulated in four ground-breaking demonstrations, including a next-generation marine engine working in low-temperature, reactivity-controlled compression ignition (RCCI) mode and a hydrogen off-road engine. An advanced close-coupled selective catalyst reduction (SCR) system and a hybrid wheel-platform with digital hydraulics were also demonstrated. The University of Vaasa led the consortium and was responsible for coordinated model-based rapid prototyping. This report examines University of Vaasa’s achievements during the CPT in terms of 26 milestones, 13 deliverables, and 32 research papers. It focuses also on other aspects, including lessons learned from managing large-scale academic–industry research. Full article

(1) Background and objectives: Global crises such as climate change, pandemics, and resource depletion present unprecedented challenges that require coordinated and innovative responses. This study advocates for a bottom-up strategy by proposing and developing tools that empower individuals and organizations to embrace green and sustainable entrepreneurship, fostering localized solutions with global impact. In this context, the research explored the integration of technology-enabled entrepreneurship education (EE) into engineering curricula, with a focus on sustainable and green entrepreneurship. Leveraging insights from European projects, the research developed a cloud-based entrepreneurship educational system featuring three e-learning platforms. Particularly, one e-learning platform was specifically designed to support green and sustainable entrepreneurship education. (2) Methods: the study involved literature reviews, stakeholder surveys, interviews with green entrepreneurs, and iterative platform design. (3) Results: Key outcomes of the research include a methodology for designing pedagogical strategies and learning content for green and sustainable EE. Additionally, digital tools such as the green business innovation canvas, TRIZ-inspired matrices, and AI-driven recommendation systems were created to equip learners with the skills to develop sustainable business models. (4) Originality: The study’s novelty lies in its integration of advanced digital tools with original pedagogical strategies, providing a scalable framework for incorporating sustainability into entrepreneurship education. These findings have practical implications for educators and policymakers working to promote eco-friendly business practices. Future research should investigate the scalability of these tools across diverse educational contexts and evaluate their long-term impact on fostering sustainable entrepreneurial mindsets. Full article

With the rapid development of electronic business, there has been a surge in incidents of trademark infringement, making it imperative to improve the accuracy of trademark retrieval systems as a key measure to combat such illegal behaviors. Evidently, the textual information encompassed within trademarks substantially influences the precision of search results. Considering the diversity of trademark text and the complexity of its design elements, accurately locating and analyzing this text poses a considerable challenge. Against this background, this research has developed an original self-prompting text removal model, denoted as “Self-prompting Trademark Text Removal Based on Multi-scale Texture Aggregation” (abbreviated as MTF-STTR). This model astutely applies a text detection network to automatically generate the required input cues for the Segment Anything Model (SAM) while incorporating the technological benefits of diffusion models to attain a finer level of trademark text removal. To further elevate the performance of the model, we introduce two innovative architectures to the text detection network: the Integrated Differentiating Feature Pyramid (IDFP) and the Texture Fusion Module (TFM). These mechanisms are capable of efficiently extracting multilevel features and multiscale textual information, which enhances the model’s stability and adaptability in complex scenarios. The experimental validation has demonstrated that the trademark text erasure model designed in this paper achieves a peak signal-to-noise ratio as high as 40.1 dB on the SCUT-Syn dataset, which is an average improvement of 11.3 dB compared with other text erasure models. Furthermore, the text detection network component of the designed model attains an accuracy of up to 89.9% on the CTW1500 dataset, representing an average enhancement of 10 percentage points over other text detection networks. Full article

With the rapid development of prominent models, NL2SQL has made many breakthroughs, but customers still hope that the accuracy of NL2SQL can be continuously improved through optimization. The method based on large models has brought revolutionary changes to NL2SQL. This paper innovatively proposes a new NL2SQL method based on a large language model (LLM), which could be adapted to an edge-cloud computing platform. First, natural language is converted into Python language, and then SQL is generated through Python. At the same time, considering the traceability characteristics of financial industry regulatory requirements, this paper uses the open-source big model DeepSeek. After testing on the BIRD dataset, compared with most NL2SQL models based on large language models, EX is at least 2.73% higher than the original method, F1 is at least 3.72 higher than the original method, and VES is 6.34% higher than the original method. Through this innovative algorithm, the accuracy of NL2SQL in the financial industry is greatly improved, which can provide business personnel with a robust database access mode. Full article