Hasni Dyah Kurniawati, Saefudin Saefudin, fernando julio parera, Nurlyana Puspitasari ¡ 7 authors
<ns3:p> Research background In recent decades, venture capital (VC) has increasingly incorporated sustainability principles, reflecting the global shift toward environmentally and socially responsible investment. The alignment of VC with sustainability goals responds to the climate crisis, technological transformation, and social expectations for ethical finance. However, research on the VCâsustainability nexus remains fragmented across disciplines, requiring systematic mapping to clarify key trends and research gaps. This study aims to map the global evolution of VC research within the context of sustainability. It identifies publication trends, collaboration patterns, main thematic clusters, and emerging research areas to provide an integrated understanding of this growing field. Methods A mixed-methods bibliometric analysis was conducted using data retrieved from the Scopus database for the period 2002â2025. Analytical tools including <ns3:italic>RStudio and VOSviewer</ns3:italic> were applied to examine publication dynamics, co-authorship networks, and conceptual structures. The SPAR-4-SLR protocol was adopted to ensure methodological transparency and rigor. Discussion Results show that international collaborationâparticularly among China, the United States, and the United Kingdomâdrives sustainable innovation in the VC ecosystem. Three main clusters were identified: the theoretical evolution of VC, long-term policy and economic frameworks, and VCâs role in green entrepreneurship and sustainable technology. Research on emerging themes such as decentralized finance (DeFi), machine learning, and risk modeling remains limited. This study adds value by offering a systematic overview of the intellectual landscape and highlighting future research directions to strengthen VCâs contribution to global sustainability. </ns3:p>
Maksym W. Sitnicki, ĐНона ШаŃŃНОва, Nikita Smohorzhevskyi
The growth of the knowledge economy requires new models enabling consulting firms to convert expertise into venture capital capabilities within Web 3.0 ecosystems. Existing research rarely explains how knowledge-based consultancies transform into institutional investors with scalable investment strategies and measurable performance. This study aims to develop an original theoretical and applied framework explaining the transition of a Web 3.0 consulting company into a venture capital institution through quantitative forecasting, governance mechanisms, and diversified investment design. The proposed concept integrates organizational maturity assessment, financial modeling, investment governance, and scenario analysis into a unified venture transition framework for knowledge-economy firms. The core research question addresses how a knowledge-economy consulting company can operationalize its transition into venture capital management within the Web 3.0 ecosystem. Using PEMM analysis, gap analysis, Gantt charts, RACI matrices, market sizing (TAM/SAM/SOM), financial forecasting, and scenario modeling, this paper proposes a phased framework for venture fund structuring, investment strategy formulation, and 5-year performance projectionsâdirectly applied to Solus Agencyâs context to demonstrate practical pathways for capturing value in this high-growth, high-risk domain. The empirical basis combines venture datasets, company-level indicators, and proprietary Solus Agency statistics, including 180+ venture funds, 160+ private investors, 46 fundraising projects, and USD 13.8 million attracted for clients. Quantitative modeling shows that a diversified USD 50 million fund may generate projected profits of USD 120 million under a negative scenario, USD 200 million in the baseline scenario, and USD 290 million in an optimistic scenario, corresponding to expected multipliers between 2.4Ă and 5.8Ă. Portfolio valuation is forecast to increase from USD 20.6 billion to USD 54.6 billion, demonstrating substantial sensitivity to allocation strategy and market conditions. The proposed Solus Agency subfund achieves an expected total return of USD 36.38 million, a gross multiplier of 3.64, a net multiplier of 3.11, a gross IRR of 52.05%, and a LP net IRR of 43.60%, indicating high projected efficiency despite elevated early-stage risks. Probability modeling identifies seed-stage allocations as the strongest contributor (USD 13.06 million projected profit) and demonstrates that diversification across AI, Web3, DeFi, and RWA segments reduces volatility while preserving growth potential. The scientific novelty lies in constructing an original framework quantitatively linking organizational maturity, consulting expertise, and venture performance indicators. The findings provide a transferable model for knowledge-economy firms seeking institutionalization as venture capital actors and support further research on quantitative venture strategies and Web 3.0 investment ecosystems.
Social media has become a transformative force for entrepreneurship, enabling startups to access global markets, engage directly with customers, and build brands with limited resources. This study explores the role of social media in entrepreneurial success, focusing on platform-specific strategies, consumer engagement, and challenges faced by startups. Using qualitative methods, including thematic analysis of interviews and case studies, the study identifies key themes such as data-driven decision-making, authenticity, and leveraging influencer partnerships. Findings suggest that social media acts as a critical resource for startups, offering opportunities for growth while requiring adaptability to navigate challenges like algorithm changes and content saturation. The study integrates theoretical frameworks such as the Resource-Based View (RBV) and Dynamic Capabilities Framework to contextualize the findings and provide actionable insights for entrepreneurs. Future research directions include examining emerging platforms like Web3 and AI-driven social media strategies to further advance the understanding of digital entrepreneurship.
Purpose This study examines how entrepreneurial experience shapes perceptions of the ideal investor in the technology-based sector. While previous research has primarily focused on how investors evaluate entrepreneurs, this study shifts the lens to explore how entrepreneurs assess investor attributes. It investigates how experience in securing funding and building ventures influences expectations around value-added contributions beyond financial investment. Specifically, the study explores whether experience leads entrepreneurs to adopt a more strategic and values-driven approach, placing greater emphasis on ethical alignment, expertise, and relational quality, while placing less importance on operational involvement and financial oversight. Design/methodology/approach This study adopts a quantitative research design using survey data from 195 entrepreneurs in the technology-based sector. Participants were recruited through entrepreneurial and investor networks across multiple countries. The survey captured key aspects of entrepreneurial experience, including fundraising and venture development, alongside expectations of investor roles and attributes. Factor analysis identified dimensions of value-added investor support, and k-means clustering was used to group entrepreneurs based on preference profiles. Multinomial logistic regression and OLS regression analyses were conducted to examine how different types of experience influence entrepreneurs' preferences for specific investor attributes and types of support. Findings The results show that entrepreneurial experience plays a significant role in shaping expectations of investor involvement. Entrepreneurs with more experience in fundraising and venture development tend to prioritize ethical conduct, strategic input, and relational alignment over traditional factors like financial returns or past performance. They value investor support focused on strategy, networks, and governance, while placing less importance on operational or financial oversight. Cross-sector experience further reinforces a preference for strategic-driven supports. Overall, the findings suggest that experience increases entrepreneurs' confidence and selectivity, encouraging a more strategic approach to building investor relationships. Research limitations/implications This study has several limitations. First, the data were collected primarily from entrepreneurs in developed countries with well-established venture capital markets, which may limit the generalization of the findings to emerging or less mature ecosystems. Second, the target population is difficult to define precisely, given the informal and decentralized nature of entrepreneurial networks. Third, the reliance on self-reported survey data introduces the possibility of response bias. Additionally, the cross-sectional design limits the ability to draw causal inferences. Future research could benefit from longitudinal data and broader geographic representation to better capture variation across different entrepreneurial contexts. Practical implications The findings provide actionable insights for both entrepreneurs and investors. As entrepreneurs gain experience, they become more selective, favouring investors who offer strategic guidance, ethical alignment, and relational support over purely financial backing. For investors, this highlights the importance of articulating non-financial value, such as expertise, governance input, and network access, to appeal to more experienced founders. Investors who position themselves as collaborative partners rather than controllers may build stronger, longer-lasting relationships. Entrepreneurial support programs, including accelerators and incubators, can also use these insights to prepare founders to identify and engage with strategically aligned investors. Social implications This study highlights the growing importance of trust, ethical conduct, and shared values in shaping effective entrepreneurial ecosystems. As entrepreneurs gain experience, they increasingly prioritize relational quality and strategic alignment in their investor relationships. This signals a broader shift toward more collaborative, purpose-driven engagement between founders and investors. Such a shift has the potential to foster healthier power dynamics, reduce misalignment and conflict, and support the formation of long-term partnerships grounded in mutual respect and shared vision. These findings contribute to ongoing discussions around responsible entrepreneurship and the sustainability of venture growth. Originality/value This study offers a novel contribution by shifting the focus from how investors assess entrepreneurs to how entrepreneurs evaluate potential investors. It addresses an under explored area in entrepreneurial finance, particularly highlighting the role of ethical behaviour and strategic alignment in investor selection. By examining how experience shapes these expectations, the study adds to the limited literature comparing novice and experienced entrepreneurs in their interactions with external stakeholders. It advances understanding of founderâinvestor dynamics and offers fresh insights into how entrepreneurial learning influences decision-making in the context of venture growth and funding relationships.
This paper examines whether token design can serve as a signal of venture quality in decentralized fundraising environments. We develop a simple model in which an entrepreneur privately informed about project quality chooses between a neutral token and an incentive-compatible token embedding a milestone-contingent feature. While the latter increases the likelihood of attracting external funding, it imposes a private cost on the entrepreneur.Because token design is publicly observable prior to investment, it affects investor beliefs and financing decisions. The model shows that a separating equilibrium arises only for an intermediate range of design costs. If incentive-compatible features are too inexpensive, low-quality ventures mimic high-quality ones and the signal loses credibility. If they are too costly, even high-quality entrepreneurs refrain from adopting them, leading to pooling outcomes.The paper highlights how signaling can be embedded directly in token architecture through observable design choices that constrain entrepreneurial behavior. The model also yields testable empirical implications: token structures imposing meaningful constraints on founders should attract greater investor participation, whereas nearly costless features should not predict venture quality. These predictions are consistent with emerging evidence on token-based financing.
Entrepreneurship, innovation, and startup ecosystems have become central components of national development strategies, particularly in Sub-Saharan Africa, where youth unemployment, income inequality, and limited formal employment opportunities remain persistent structural challenges. This paper presents a systematic review of peer-reviewed studies published between 2020 and 2025 to examine how these interconnected elements contribute to Kenyaâs socioeconomic development. Guided by the entrepreneurial passion theory and the risk-bearing theory of entrepreneurship, the review synthesizes both empirical and conceptual evidence across four thematic areas: job creation and poverty reduction; financing constraints and governance weaknesses; the role and reach of innovation hubs; and human capital and skills development. The findings indicate that entrepreneurship plays a significant role in employment generation, income creation, and technological progress in Kenya. Small and medium enterprises continue to absorb a substantial share of the labour force, particularly among youth. However, the study finds that the sectorâs overall contribution to national development is limited by restricted access to affordable finance, inconsistent policy implementation, weak institutional coordination, and notable skill gaps among enterprise founders. These structural challenges reduce business survival rates and limit long-term growth. The review further finds that innovation hubs, including Nairobiâs iHub and university-based incubation centres, have created valuable support structures through mentorship, networking, and access to digital infrastructure. Despite these gains, their impact remains geographically concentrated and does not adequately address the needs of entrepreneurs operating outside major urban centres. Moreover, many programs do not sufficiently respond to practical business management and financing challenges faced by early-stage enterprises. The paper concludes that achieving Kenyaâs Vision 2030 development objectives requires a coordinated and sustained strategy. The study therefore recommended that the government should strengthen entrepreneurship education, expand access to blended financing, decentralize innovation infrastructure, and improve institutional coordination to promote sustainable enterprise development in Kenya
We identify a core microfoundation of digital entrepreneurial ecosystems (EE): social learning in the form of information cascades. Using decentralized autonomous organizations (DAOs) as a laboratory where micro-level coordination processes are directly observable on blockchains, we trace how individual-level voting behavior aggregates into ecosystem-level outcomes. Exploring hand-collected data covering 19,450,710 votes from 924,095 unique voters in 3,317 DAO governance proposals, we estimate economically strong information cascades that run from influential through early to late voters. Several contextual factors impede social learning in DAOs, including the presence of cybercriminals in the DAO community and market sentiment, while the decentralization of token ownership is an important prerequisite for information cascades to unfold. Finally, we document a link between the potency of information cascades and the financial performance of DAOs. Stronger information cascades are associated with higher market capitalization, trading volume, and abnormal cryptocurrency token returns. Overall, we contribute to the EE literature by demonstrating how observable micro-level learning processes triggered by influential agents in the network scale into ecosystem-level financial performance.
Web3 startups introduce a novel paradigm of organizational design in which token-based incentive mechanisms replace or complement traditional equity-based governance structures. This paper examines how tokenomics can align or misalign the incentives of founders, investors, and users in decentralized entrepreneurial ventures. Drawing on agency theory, mechanism design, and behavioral economics, we develop a conceptual framework that explains how token distribution, vesting schedules, governance rights, and utility structures influence startup performance and sustainability. Using illustrative case analyses and synthetic data modeling, the study identifies key failure modes such as speculative overhang, governance centralization, and misaligned temporal incentives. The findings contribute to entrepreneurship literature by proposing a new theory of âprogrammable incentivesâ and offer actionable guidance for founders designing token economies. Keywords: Web3, Tokenomics, Incentive Design, Entrepreneurship, DAOs, Blockchain Governance, ICOs
The article examines the evolution of venture business from its inception to contemporary trends driven by digital transformation. It outlines the key stages of development, starting from the mid-20th century and explores the influence of Web 3.0 innovations, including blockchain, decentralized finance (DeFi), and decentralized autonomous organizations (DAOs), on investment processes. The structure of venture funds is analyzed in detail, highlighting the roles of key stakeholders, funding mechanisms such as SAFE (Simple Agreement for Future Equity), SAFT (Simple Agreement for Future Tokens), and convertible notes, as well as the stages of the venture lifecycle. The study emphasizes how emerging approaches to asset tokenization and the implementation of smart contracts are transforming capital management models and contributing to the globalization of venture business. Special attention is given to the legal aspects of venture investments, particularly the role of the Term Sheet in shaping deal conditions. Furthermore, the article discusses how digital technologies reshape traditional practices, facilitate cross-border investments, and enable new stakeholder collaboration. It underscores the potential of Web 3.0 to democratize access to venture capital, create innovative funding opportunities, and foster sustainable growth in the global venture ecosystem. By examining case studies and providing a comprehensive overview of current practices, the study concludes that the integration of Web 3.0 technologies is not only revolutionizing venture capital processes but also redefining the future of the investment landscape.
This article begins with setting a definition for a Startup, explaining how a startup different to an enterprise in general.Further the article lists and describes the typical risks and challenges with which startups often have to deal and proceeds with methods of how startups mitigate the risks and solve the presented challenges.In that chapter the readers can find descriptions of such risks as problems with access to finance, talent acquisition, market need, competition, planning, customer acquisition, regulatory compliance, scaling, cash flow management, and unrealistic expectations.In the following chapter the article defines the Web3 startups and describes how they differentiate from startups in general.In that chapter readers can find an overview of fundamental Web3 principles, including decentralization, blockchain technologies, and smart contracts, and an explanation, what characteristics make Web3 startups different from startups in classical sense, the article brings a list of specific risks and challenges that are met by Web3 startup founders.Classifying risks such as lack of crypto adoption, Web3-specific security risks, regulatory uncertainty, vendor management problem, the challenge of fundraising in Web3 environment and Interoperability problem -all these risks are to be considered by founders when starting a Web3 project.The final chapter provides methods of solving the presented Web3-specific risks and challenges, 7(35) 2024 137 taking into account that every startup is different and offering several methods of solving every described problem.Authors do not endorse any particular solutions, however they make real life examples when explaining possible solutions to such problems as legal uncertainty and interoperability problems.In general authors stress that this material is a good base for further research and Web3 founders should not take any given examples as a ready-made solutions without consulting experts or doing their own research.The article contains useful material for founders of Web3 Startups and people who are interested in studying the process of running a Web3 startup at an early stage.
This article explores affiliate marketing integration with AI and Web3 technologies, providing a comprehensive analysis of their individual and combined potential to revolutionize the digital marketing landscape. Starting with defining the core components, the article sets a foundation for understanding how AI and Web3 can synergistically enhance affiliate marketing strategies. The paper proceeds with a detailed overview of traditional affiliate marketing models, highlighting their evolution in response to technological advances and changing market dynamics. The article further examines the global landscape of affiliate marketing, presenting current statistics and trends that underscore its economic significance. A focused discussion on AI technologies pertinent to affiliate marketing reveals how machine learning, natural language processing, and predictive analytics can optimize performance and decision-making processes. The role of Web3 is examined by its ability to introduce decentralized, transparent, and secure elements into affiliate marketing, suggesting a shift towards more user-centric models. Finally, the potential of combining AI with Web3 is discussed, illustrating how this convergence can lead to innovative marketing strategies that are more effective and uphold higher standards of integrity. This synthesis aims to illuminate how modern technologies can be harnessed to foster a new digital marketing era.
Impact innovation has progressed through three phases: 1.0, 2.0, and 3.0. Impact 1.0 introduced carbon credit trading, while Impact 2.0 added participatory grantmaking, impact measurement, and price competitions. Impact 3.0 incorporates Web3 community tools and impact certificate trading. This paper examines the evolution of these phases, focusing on Impact 3.0âs influence on philanthropic practices. Through an analysis of the literature and case studies, Web3 technologies and impact certificate markets are investigated for how these innovations affect transparency and efficiency in social impact initiatives. The information gathered indicates that Impact 3.0 facilitates decentralized impact verification and creates a marketplace aligning stakeholder interests. Consequently, leveraging the features of Web3 technologies can enable philanthropy to scale significantly and provide insights for impact-focused donors aiming to improve outcomes.
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Community Development and Social Impact
Innovative Approaches in Technology and Social Development
Stephen Muathe, Paul Sang, Lucy Kavinda, Sammy Letema ¡ 6 authors
Kenyaâs Startup ecosystem has experienced tremendous growth over the last ten years. Further, Kenyaâs startups have also been among the top-funded in the continent during the same period â attracting financing of between USD 300 million â over USD 3 billion. However, there is currently a lack of granular data guiding policies on the startup ecosystem in Kenya. Hence this Paper traces startup successes and pitfalls of the Ten years (2010-2020) Period in Kenya. The study utilized cross-sectional and longitudinal research designs. The target population was start-ups registered in the 47 Counties in Kenya. A total of 104 startups participated in the study. A mix of sampling techniques was used, namely cluster-stage, systematic, purposive, and snow-balling sampling techniques, to select the respondents for the study. Data were analyzed using Content analysis descriptive statistics were used for data analysis. The findings indicated that startup innovation hubs emerged in Nairobi in 2010 but offer time, which spurred the mushrooming of startups, seats, and co-working spaces with decentralization to significant towns in the country. The Kenyan startup ecosystem has experienced tremendous growth for the last two decades, growing from 10% in the 2000-2010 to 80% in 2010-2020. However, access to financing remains the biggest challenge for startups because of the risk associated with it, especially for early-stage startups. To strengthen the growth of the startup ecosystem, the government, through the statement of Kenya National Innovation Agency, should ensure the development of policies tailored towards startups. The national government should provide matching funds and establish an Inter-county collaboration framework to ensure skills transfer within and among the counties.
Stephen Muathe, Paul Sang, George Kosimbei, Sammy Letema ¡ 10 authors
Over the last 10 years, maturity of the business landscape has unlocked new opportunities in Africa, especially the entry of accelerators, incubators, and other start-up ecosystem players. These organizations are constantly adapting their models to respond to the ever-changing needs of the ventures they support. Therefore, there is need for existing literature to keep abreast with this vitality to strengthen the ecosystems in Kenya. The paper analyses the drivers, challenges and opportunities within the start-up ecosystem in Kenya. The paper is based on cross-sectional and longitudinal designs. Human-centred purposive and proportionate stratified random sampling techniques were used to select a sample of 74 respondents who filled an electronic survey; coupled with interview of 50 start-ups ecosystem players. Descriptive statistics and content analysis was used in data analysis. The study reveals that Kenya has made significant strides in the start-up scene, however, there is a heavy concentration of activity in Nairobi the capital city, leading to disparity within the country. Opportunities for collaboration are bypassed in favour of duplication of programs and consequently funds that should ultimately support entrepreneurs are spread thin. a number of challenges bedevilled start-ups, access to financing and risk capital, lack of sector coordination, weak start-up culture, me too businesses, insufficient policies and guidelines on incubation and commercialization, and lack of a robust monitoring, evaluation and learning system. The study recommends that the national government should provide matching funds for venture capital, standardization and decentralization of innovation and incubation centres countrywide, central database for start-ups and sensitization and awareness-building programs on intellectual property rights among start-ups.
Non-fungible tokens (NFTs) have taken the world by storm. Initially started as an art/game experiment, the NFT has given rise to a new form of entrepreneurship in the virtual world with massive opportunities and affordances. However, research into the entrepreneurial aspect of NFTs and the role of agency in the process is limited. In this article, I examine the concept of NFT-enabled Entrepreneurship (or NFTE). I first identify the main characteristics of NFTs, then define NFTE and discuss the related assumptions, and finally propose a conceptual framework for NFTE and investigate its enablers. I conclude by proposing NFTE as a novel domain of entrepreneurship theory and practice with extensive new research opportunities, and the plausibility of using NFT as an alternative mode of knowledge production in which scholars become âNFT creators.â
Local food enterprises have mainly emerged from social and environmental movements. These enterprises try to maintain and develop values contrary to standard business practices. They promote certain principles of transformation, such as less hierarchical structures, the minimization of capital requirements and decreased profit orientation. They focus on small-scale units requiring multi-skilled labor and greater customer participation which is related to new forms of social interaction, changing cost structures, stability impacts, growth limitation and new diffusion strategies. If traditional hierarchical structures are replaced by more democratic decision-making processes, then a greater effort will be required to clarify responsibilities and competencies, control processes, resolve conflicts and maintain the motivation of all those involved. Our research shows that, depending on the type, transformative enterprises have specific upper size limits, which, if exceeded, make social stabilization difficult. The diffusion process compatible with this follows the principle of a decentralized and autonomous multiplication of the organizational model rather than the concept of traditional entrepreneurial growth. In our contribution, we discuss the opportunities and challenges facing transformative enterprises in terms of cost effects and social diffusion based on supply chain analyses.
A project on the use of distributed registry technology to improve funding for start-ups in Japan has been considered. The project is based on the application of distributed registry technology, smart contracts, a big database of start-ups credit risk (in Japan CRDS), a local investment fund, a unified marketing and trading platform. The model of investor behavior (taking into account risk and profitability) has made it possible to show, that with growing investor confidence (individuals and households) and a certain level of profitability of startups, investing in startups will be more preferable, than a bank deposit. The features of the project have been highlighted and a conclusion has been made, that under certain conditions, the adduced scheme for financing start-ups can be used in Russia, for example, by the Industry Development Fund.
Jelena EriÄ Nielsen, Verica BabiÄ, Vesna StojanoviÄ-AleksiÄ, ĐĐľlena NikoliÄ
Research Question: The purpose of this paper is to explore how leadership style and organizational structure characteristics influence employeesâ intentions to start their own entrepreneurial ventures, ideas or projects, within an organizational setting. Motivation: The main goal is to learn how to prevent innovativeness declining in a traditional organization and make internal environment friendly for entrepreneurial initiatives and for employees with propensity to develop new ideas, aiming to create sustainable competitive position. Idea: The paper explores how identified leadership variables, initiative, pioneer, proactive behaviour and ability to communicate vision affect employeesâ entrepreneurial intentions. We also analyze the organizational structure impact, testing organic design, level of centralization and formalization. For measuring employeesâ entrepreneurial intentions, we use a previously validated scale and measurements, innovation, risk propensity and autonomy. Data: The data are collected using a questionnaire on a random sample of 208 respondents employed in nineteen Serbian companies. Tools: A quantitative study methodology was designed and implemented, appropriate statistical methods performed, including correlation and linear regression analyses. Findings: We have found evidence that appropriate leadership style has a positive influence on employees' entrepreneurial intentions. More specifically, there is a positive correlation between the leaderâs initiative, pioneer and proactive behaviour, and the employeesâ intentions to start innovative entrepreneurial ventures. The employeesâ willingness to act autonomously is affected by leaderâs initiative and proactive attitude, but also by ability to clearly communicate the vision. The study also reveals that organic organizational structure, decentralization and low formalization have a positive influence on employees' entrepreneurial intentions. Contribution: The study contributes to a significant degree by filling gaps in knowledge base, revealing new perspectives about relevance of both leadership style and organizational structure for encouraging organizational entrepreneurship. The analysis also provides a more fine-grained perspective about characteristics of organizational design and improves understanding of the employeesâ actions depending on authority delegation, procedures and overall flexibility of organizational structure. Practical implications represent guidelines for practitioners as to how to set up structure and adjust leadership style in order to foster entrepreneurship among employees.
Ann Ogbo, Anthony Igwe, Jesse Ezeobi, Nwanneka J. Modebe ¡ 5 authors
This paper examined the impact of social entrepreneurship on sustainability of business development in Nigeria. The objectives of the study include: to identify major evolution experienced by social enterprise in Nigeria, to identify key challenges in social entrepreneurship in Nigeria, to identify current trends in social entrepreneurship in Nigeria, and to carry out an analysis on sources of funds for financing the social entrepreneurs. Survey approach was the research design used with particular reference to selected small and medium enterprises (SME) in Nigeria. It was observed that political factors, economic factors, socio-cultural factors, cross country factors and technological factors are the major evolution experienced by social enterprise in Nigeria. It was also observed that lack of education in entrepreneurship, lack of financial assistance, comparative disadvantages to business, lack of government support and lack of skilled manpower are the key challenges in social entrepreneurship in Nigeria. The current trends in social entrepreneurship in Nigeria are social media and the role of technology, rise of decentralized micro-giving opportunities, cross-sector partnerships and government drive for an all-inclusive economic growth and development through SME. The analysis carried out on sources of funds for financing the social entrepreneurs are contributions from social entrepreneurs, subventions from government, donor supports, loans and advances and retained earnings/reserves.
Blockchain technology claims to disrupt the existing financial system, the way of doing business, and to empower ordinary citizens against an elitist economy through decentralization of the decision-making process. In the political arena, the disruptive ideology branded as âpopulismâ challenges the neo-liberal establishment. By appealing to peoplesâ fears, frustrations, and dissatisfaction with the political elites, exploiting distrust in the so-called establishment, populism claims to deliver more power to the people. In this article, we draw a parallel between core foundations of political populism and those of blockchain and propose a theory of technological populism. Technological populism as reflected by blockchain platforms exploits the rhetoric of empowering the disenfranchised through decentralized decision-making process, enabling anonymity of transactions, dehumanizing trust (promoting trust in computation rather than trust in humans and institutions) as well as breaking the monopoly in the financial system and money supply. The rhetoric of empowering the disenfranchised against financial elites is not only propaganda but also a method of accumulating wealth for technocratic elites. Ultimately, the blockchain and cryptocurrency world has perfected what political populists have pioneered â unrealistic promises, turning the citizen against âthe elitesâ only so long as they are not the elites in charge.
This dissertation addresses the assembly of organizational resources by technology ventures. We study how innovative firms acquire human and financial capital and then organize those resources, and how public policy affects that capability.\nIn the first chapter, we study the role of information in organizational decision-making for the financing of entrepreneurial ventures. We formally model a decentralized set of agents who vote strategically to allocate resources to a project with unknown outcome; they can each acquire costly information to improve their decision quality. We test our predictions in the setting of venture capital, where partners make their own angel investments outside of their employer. We find that the venture capital partners, acting independently, make riskier investments into younger firms with less educated and younger founding teams, but these investments perform better on some metrics even when controlling for investment size and stage. Geographic distance and liquidity constraints increase the probability the investment is taken up by a partner and not the VC.\nIn the second chapter, we evaluate the impact of skilled immigration on U.S. innovation by exploiting a random lottery in the H-1B visa program. Proponents argue that immigration allows firms to access technical skills and promote innovation, while opponents argue that firms substitute domestic labor for cheaper but equally or less skilled foreign labor. We find that winning an H-1B immigrant does not significantly increase patent applications or grants at the firm level, and there is pervasive use of the program in industries where patenting is not the main value-appropriation strategy.\nIn the third chapter, we study how a firm should organize the diversity of technical experience, contained within its pool of inventive human capital, for firm-level innovation. Using a sample of biotechnology start-ups, we examine the implications of alternate firm-level design regimes, drawing on both a firm-year panel structure and an inventor-year difference-in-differences empirical approach. Organizing a firm's human capital with greater across-team diversity yields increased firm-level innovation benefits as compared to organizing with greater within-team diversity. The benefits of across-team diversity stem mainly from the influence of that regime on team stability.

 
 
 This article examines whether hitherto marginalized actors, industries and innovations â such as women, services industries and service innovations â could be acknowledged by the use of a bottom-up approach in innovation research in a way that helps make public innovation support more inclusive. It is scrutinized whether the relation between context, organization and outcomes in publically financed innovation networks such as clusters and innovation systems serves to highlight how more inclusive innovation support could be designed. Four regional innovation networks promoting womenâs entrepreneurship and innovation in Sweden are analyzed by a bottom-up approach, since while emphasizing decentralization and inclusion in theory, most innovation theories and policies are in practice characterized by a top-down approach, ascribing superiority to certain actors, industries and innovations while marginalizing others in a distinct â often gendered â pattern. The bottom-up approach makes it possible to expose that being a marginalized actor in public innovation support is related to the organization of entrepreneurial types of innovation systems, based on contacts established ad hoc and resources gathered from scratch, making a wider range of actors, industries and innovations relevant than in institutional types of innovation systems favored in prevalent public innovation support. By acknowledging both types of innovation systems, more inclusive innovation policies could be designed and more nuanced innovation theories could be developed.