Abstract Endogeneity in entrepreneurship research is often treated as a statistical complication addressable through advanced econometric tools. This commentary argues that such an approach overlooks a deeper issue: endogeneity is conceptual before it is statistical. Because entrepreneurial phenomena involve reciprocal relationships, evolving mechanisms, and context‐dependent processes, biased estimates frequently stem from underspecified constructs and unclear causal logic. I contend that theory, sufficiently precise to specify constructs, articulate mechanisms, and establish temporal ordering and boundary conditions, is the primary tool for reducing endogeneity in empirical estimation. Integrating theory with structural causal modeling and rigorous empirical design strengthens identification while enhancing explanatory value. I conclude with practical recommendations for scholars, emphasizing theory's central role in producing credible, cumulative knowledge in entrepreneurship research. Managerial Summary Entrepreneurs and managers often rely on data to understand what drives venture success, but data alone can be misleading if the underlying assumptions about cause and effect are unclear. This article explains why strong theory—clear ideas about how and why things work—is essential for drawing reliable conclusions from evidence. Endogeneity, a common problem in business research, occurs when factors influence each other in ways that make results appear stronger or weaker than they are. By using theory to map out mechanisms and likely confounding factors, leaders can make better decisions about which actions truly create value. The article also shows how tools like causal modeling can combine conceptual clarity with rigorous analysis, helping organizations design strategies that are both evidence‐based and trustworthy.
Abstract Research Summary The importance of entrepreneurial framing for legitimating novelty is well established, but the distinct challenges of legitimating radical novelty have received less attention. We articulate these challenges and propose fictional framing—the strategic and imaginative construction of a narrative world that blends the real and the imaginary using the practices of fictionalizing—as a means for addressing them. Drawing on literary theory, narratology, and the psychology of fiction, we theorize how fictional framing can engage stakeholders in co‐imagining through specific imaginative impacts. We further theorize how stakeholder co‐imagining fosters possibilistic thinking, changing their evaluative logic from focusing on likelihood and fit to what could be possible. Our framework extends the entrepreneurial framing toolkit by theorizing the distinct mechanisms for legitimating radical novelty through fictional framing. Managerial Summary When entrepreneurs pursue radically novel ventures, from space habitation to de‐extinction, conventional framing strategies that emphasize fit with existing knowledge and market categories are often ineffective. We propose that entrepreneurs can instead use fictional framing—the strategic and imaginative construction of a narrative world that blends the real and imaginary using fictionalizing practices. Unlike hype, which inflates expectations, fictional framing invites stakeholders to co‐imagine possibilities and evaluate radically novel projects based on their transformative potential rather than their probability of success. Leveraging the power of fiction to transport, support mental simulation, and prompt audiences to envision themselves acting within the imagined world, we propose how entrepreneurs can turn stakeholders into co‐explorers of the imaginary—active participants in co‐imagining and co‐creating consequential futures.
Abstract Research Summary In this manuscript, we argue that the Entrepreneurs‐as‐Scientists (E‐a‐S) research program requires a fundamental shift from predominantly conceptual development toward an empirical agenda to achieve its normative goal: developing a scalable algorithm that improves entrepreneurial learning and value creation. The E‐a‐S approach prescribes that entrepreneurs learn by articulating causal theories, testing them, updating their beliefs, and revising their theories. We identify three risks of continued emphasis on conceptual development: overlooked complementarities, insufficient attention to boundary conditions, and potential overprescription based on limited evidence. We propose an empirical research agenda, as well as specific topics within it, to ground the E‐a‐S approach in systematic evidence, advancing a research program that is as rigorous in its methods as the entrepreneurial practices it seeks to improve. Managerial Summary This manuscript examines a growing approach that encourages entrepreneurs to think and act like scientists—by clearly articulating assumptions, testing them through experiments, updating beliefs, and refining their strategies. The goal is to develop a reliable, scalable method that improves how entrepreneurs learn and create value. However, current insights and ongoing research projects predominantly focus on conceptual work. We highlight three practical risks of such a focus: missing complementarities, overlooking when the learning method works best, and applying it too broadly without sufficient validation. We suggest that entrepreneurs use this approach flexibly since it was not designed to be a fixed formula. Ongoing research will clarify how to adapt it across contexts, helping entrepreneurs make more informed, disciplined, and effective strategic decisions.
Research Summary Using 14,108 Kickstarter crowdfunding campaigns, we examine three strategies to gather support from first-time versus repeat backers: narrative distinctiveness aligning with backers' expectations of novelty, endorsement from Kickstarter staff, and campaign leadership's reciprocity of funding other campaigns. Staff endorsement is more strongly associated with support from first-time backers, while campaign leadership's reciprocity is associated primarily with repeat backers. Differences between first-time and repeat backers are evident in evaluating narrative distinctiveness: narratives distinct from past campaigns correlate positively with repeat backers and greater funding but negatively with first-time backers. Narratives distinct from live campaigns correlate positively with first-time backers but are associated with lower funding amounts. Our findings conceptualize differences between first-time and repeat backers that shape the associations between campaign legitimization strategies and backer support.Managerial Summary This work examines how Kickstarter campaigns should be designed to attract both new people and get support from existing community members. We test whether differences between these two target groups exist in evaluating commonly established "success factors" of campaigns: An endorsement from Kickstarter, the involvement of the campaign founder on the platform, and a campaign text highlighting the campaign's novel contributions. We find differences in all three between both groups and conclude with insights on how managers should design crowdfunding campaigns based on long-term goals and objectives. We also offer some implications for crowdfunding platforms, such as Kickstarter, in supporting content creators in attracting new backers, which aids with overall platform growth.
Research Summary The entrepreneurship literature has established the benefits of experimentation but has paid comparatively little attention to its costs. We develop a Bayesian model to illustrate the entrepreneurial choice between direct and experimental entry. We argue that performance depends on three mechanisms: information, adaptation, and appropriability. We show that experimental entry is not universally optimal and characterize the conditions under which each mechanism favors or undermines it. We further allow founders to hold biased prior beliefs, showing that greater bias increases the value of experimentation. Extending the baseline model to a multidimensional setting, we show that experimenting across different dimensions leads to a variety of counterintuitive insights. Our analysis produces a series of testable predictions and yields several implications for the broader entrepreneurship literature and practice.Managerial Summary Should every startup run experiments before launching? The lean startup movement says yes-but the answer depends on factors often overlooked by founders and investors. Experimentation creates value when the market is genuinely uncertain and founders' beliefs are far from what customers want. It can backfire when feedback is too noisy to interpret, when pivoting is prohibitively costly, or when releasing an early product may favor imitation. In settings where products have several significant features, which dimensions to experiment in matters as much as whether to experiment at all. Our findings offer guidance to entrepreneurs, investors, and policymakers designing the conditions that make experimentation feasible.
Research Summary Corporate entrepreneurship (CE) requires firms to pursue both exploratory and exploitative innovation, yet limited research explains how intellectual capital (IC) is translated into these distinct outcomes. We develop a contingency model that specifies how and when IC drives exploration and exploitation. We theorize that a firm's capacity for learning and transformation (CLT) functions as a firm-level learning and transformation capability through which IC can be translated into either exploratory or exploitative innovation. Knowledge breadth strengthens the indirect effect of IC on exploratory innovation via CLT, whereas knowledge depth amplifies the indirect effect on exploitative innovation. We test the model in two complementary field studies. Study 1 employs a time-lagged design with objective archival data, and Study 2 replicates the findings using survey data. Results consistently support the proposed theoretical model.Managerial Summary Firms operating in fast-changing and uncertain environments often struggle to balance developing new products with improving existing ones. Our study shows that simply having strong knowledge resources is not enough. What matters is how effectively firms learn from and use that knowledge. We find that firms perform better when they build strong learning capabilities that help them adapt, recombine, and apply knowledge over time. Importantly, the type of knowledge a firm holds shapes this process: broad knowledge supports new product development, while deep, specialized knowledge strengthens improvements to existing products. For managers, this means focusing not only on acquiring knowledge but also on building systems and practices that continuously translate knowledge into action and innovation.
Research Summary This study develops an incentive-based view to examine the internationalization pace of young entrepreneurial firms after they have completed an IPO and expanded abroad for the first time. Using a sample of U.S. young entrepreneurial post-IPO firms that internationalized from 2005 to 2020, we find that the pace of internationalization increases when CEOs are compensated with more stock options and that this relationship is weakened when the stock option compensation of independent outside directors increases. By showing that incentives of different agents shape how fast young entrepreneurial firms internationalize, this study extends international entrepreneurship research by relaxing the implicit assumption that young entrepreneurial post-IPO firms that can internationalize fast will do so.Managerial Summary What determines the internationalization pace of young entrepreneurial firms after they have already completed an IPO and expanded abroad for the first time? Our research finds that the internationalization pace of these firms increases when the CEO is compensated with more stock options. Absent CEO stock options, stock option compensation of independent outside directors provides a substitute through monitoring and advocacy for faster internationalization. Our research highlights that young post-IPO firms that can internationalize fast will not necessarily do so, stressing the distinction between the firm resources needed for a strategic action and top management motivation to pursue that action.
Research Summary: Government policy that aims to stimulate business activity often overlooks its indirect impacts on entrepreneurial entry. In particular, the role of free time, especially in concert with liquidity constraints, remains an underexplored factor. In this paper, we exploit two exogenous shocks to workers' free time to furnish plausibly causal effects on entrepreneurial activity: (random) injury and the 2011 amendments to the Illinois workers' compensation laws. Utilizing a two-way fixed effects estimation, we find that as workers' compensation becomes less generous, that is, by limiting both financial resources and an employee's time away from work, entrepreneurial activity within a specific geographical region is significantly reduced. Thus, we provide evidence of an unintended and negative impact on entrepreneurial activity caused by an indirect policy change. Further, this result unduly affects the recently injured or otherwise disabled. Our results are robust to alternative specifications and data sources, suggesting an important incidence of compensatory insurance regulation on entrepreneurial activity and, as a result, important considerations for future policymaking. Managerial Summary: Workers' compensation is a state-level program that provides replacement wages to workers injured on the job. In 2011, amendments to Illinois' workers' compensation laws made this program less generous in terms of both financial benefits and time out of work. We study the impact of these amendments on entrepreneurial activity. We find that less generous workers' compensation has a large adverse effect on entrepreneurial activity because it constrains two important factors required for experimentation with entrepreneurship: financial resources and time. Our results hold up to several statistical models and controls, including local innovative and high-tech firms, as well as alternative datasets. Our findings yield important insights for policymakers in other states drafting such regulations and for researchers studying the incidence of such policies.
Research Summary Financial resource acquisition is crucial for ventures but hindered by uncertainty. While signaling mitigates this uncertainty, its effectiveness hinges on venture novelty and the narratives used to clarify embedded information. Adopting a configurational lens, we examine the interplay among novelty, signals, and narratives in equity crowdfunding (ECF). Applying qualitative comparative analysis (QCA) to 98 ventures on a UK ECF platform, we reveal multiple equifinal pathways to fundraising success and demonstrate that novelty acts as a critical contingency factor: novel and less-novel ventures require distinct configurations of signals and narratives, and narratives that clarify signals play a crucial role for novel ventures. Our findings extend research on signaling theory, entrepreneurial narratives, and entrepreneurial finance with a nuanced understanding of the interdependence among novelty, signals, and narratives.Managerial Summary Novel and less-novel ventures face distinct challenges in convincing investors, and we show that there is no "one-size-fits-all" strategy in fundraising. Our study demonstrates how entrepreneurs can convince investors using signals and/or narratives that align with the novelty of their ventures. For novel ventures, specific and coherent narratives are particularly helpful in clarifying signals that contain complex information. Conversely, less-novel ventures that refine existing offerings may improve fundraising performance by simply emphasizing signals that demonstrate clear product-market fit. We therefore suggest that entrepreneurs should view signals and narratives as complementary tools and tailor their fundraising strategies to match their ventures' novelty and achieve fundraising success.
Research summary Entrepreneurship unfolds under uncertainty, which complicates entrepreneurs' efforts to align idea, action, and environment to reach product-market fit. To illuminate how entrepreneurs perform such alignment, we complement the theory-based view and its focus on cognitive uncertainty with a discussion of behavioral uncertainty. We propose that entrepreneurs face four types of uncertainty: (1) uncertainty about the state of their environment (state uncertainty), (2) uncertainty about the interpretation of environmental cues (perception uncertainty), (3) uncertainty about the feasibility of turning an idea into a tangible product (execution uncertainty), and (4) uncertainty about the effect of their action in the environment (effect uncertainty). To mitigate these forms of uncertainty, entrepreneurs engage in idea-environment (entrepreneurs as visionaries), idea-action (entrepreneurs as engineers), and action-environment (entrepreneurs as experimenters) alignment. Each of these alignment strategies is associated with benefits and constraints in mitigating the uncertainty discussed. Our paper thus generates new insights into the nature of uncertainty and its effective mitigation in the quest for product-market fit, a critical precursor of success in entrepreneurship.Managerial summary Entrepreneurship succeeds when product and market are aligned. We map two sources of uncertainty that stand in the way of reaching product-market fit. Agentic uncertainty concerns the entrepreneur: interpreting signals (perception uncertainty) and making the idea work (execution uncertainty). Environmental uncertainty concerns the market: what state the market is in (state uncertainty) and how the market will react to products (effect uncertainty). Entrepreneurs can mitigate these uncertainties via three complementary strategies: (1) idea-environment alignment ("visionary" scanning the environment), (2) idea-action alignment ("engineering" to prove feasibility), and (3) action-environment alignment ("experimenter" testing to learn what sells). Each alignment strategy yields benefits and costs toward reaching product-market fit. In combination, they accelerate product-market fit-a critical driver of success in entrepreneurship.
Research Summary This paper examines the creation of entrepreneurial opportunities under coupled technical and demand uncertainty within science-based ventures (SBVs). Whereas opportunity creation theory emphasizes discursive processes, we build on practice theory and pragmatism to explore how SBV opportunities also emerge through entrepreneurs' evolving engagements with indeterminate material artifacts. Through a longitudinal multiple-case study, we identify two patterns of material engagement: epistemic engagement, oriented toward knowledge creation, and pragmatic engagement, oriented toward practical use. We show how opportunity creation unfolds through interweaving cycles of epistemic and pragmatic engagement. By introducing material engagements as constitutive, we specify creation theory for SBVs and highlight the central role of materiality in shaping belief formation, opportunity objectification, stakeholder engagement, and the variation-selection-retention process.Managerial Summary This paper explores how entrepreneurs create science-based ventures (SBVs) by engaging with evolving material artifacts, like sensors and prototypes. Based on a study of SBV initiatives supported by the European Commission's ATTRACT program, we identify a process in which entrepreneurs repeatedly alternate between epistemic engagement-focused on scientific understanding-and pragmatic engagement-focused on usability and implementation. This material engagement cycle plays a central role in venture development under coupled technical and demand uncertainty. We highlight tensions inherent in this process and the strategies through which they are accommodated, offering practical insights for entrepreneurs building ventures from frontier science and policymakers supporting science commercialization.
Research summary We assess how personality alignment in investor-founder dyads is associated with the likelihood of follow-on funding, a vital outcome for early-stage ventures. Using machine learning to infer the Big Five personality traits from Twitter data for 9497 business angel-founder dyads, we find that similarity in conscientiousness and agreeableness is associated with a higher likelihood of follow-on funding, while similarity in neuroticism is associated with a lower likelihood. We attribute these patterns to the trait-specific benefits of supplementary (conscientiousness and agreeableness) and complementary (neuroticism) fit. Robustness checks and additional analyses support and nuance the conclusion that personality fit matters for venture outcomes, highlighting the strategic role of personality fit in the investor-founder relationship.Managerial summary We show that personality similarity between business angels and founders is associated with whether a venture secures follow-on funding. Similarity in conscientiousness (being organized and reliable) and agreeableness (being cooperative and trusting) is linked to a higher likelihood of securing follow-on funding, while similarity in neuroticism (emotional instability) is linked to a lower likelihood. We interpret these patterns as collaboration dynamics: similarity can help through supplementary fit (e.g., shared work style and cooperation), but differences can help through complementary fit (e.g., one partner's emotional stability offsets the other's emotional instability). Practically, founders and business angels should develop self-awareness and consider personality fit alongside other characteristics when forming partnerships. Policymakers and incubators can support better matches and strengthen collaboration by promoting awareness of interpersonal dynamics.
Research Summary How is the ownership distribution in new venture teams (NVTs) related to the novelty of a firm's inventions? Using an abductive approach and analyzing 5114 projects from 2148 German firms, we find higher novelty when a majority owner is among the NVT members and when members of NVTs with unequal ownership splits participate directly in inventive projects. Our empirical facts and interview evidence suggest that unequal splits enhance decision-making mandates, enabling NVTs to avoid consensus deadlocks and empowering owner-inventors to foster novelty. Notably, the ownership split within the NVT appeared to matter more for novelty than the specific share held by owner-inventors. These insights contribute to our understanding of the interplay among intra-team ownership, organizational governance, inventor-entrepreneurs, and innovative outcomes in entrepreneurial ventures. Managerial Summary At incorporation, new venture teams (NVTs) decide how to divide ownership among themselves. The distribution can vary from equal shares to a majority ownership structure. Ownership distribution can influence how NVTs make decisions under uncertainty and how independently individual NVT members can implement their idiosyncratic technological ideas. Our quantitative and qualitative findings indicate that concentrating ownership with majority owners promotes more radical innovations, while an equal distribution entails the risk of leading only to incremental advances. Additionally, in NVTs with unequal ownership distribution, the participation of NVT members in R&D activities promoted novelty. Therefore, NVTs should carefully consider the implications for decision-making when determining their ownership distribution, as it can be a strategic tool for promoting innovation.
Research Summary We examine how promotional language ("hype") in reward-based crowdfunding is associated with campaign success, and whether those associations vary across sector contexts and with campaign execution burden. Using dictionary-based text measures from 635 U.S. Kickstarter campaigns across five sectors, we distinguish three novelty-framing moves: capability/rigor language, excellence/status language, and attitude/affect language. We find no uniform association between aggregate hype and success. Instead, the observed associations vary systematically across rhetorical moves, sectors, and goal levels. Capability/rigor language is positively associated with success in Technology, attitude/affect language is positively associated with success in Entertainment, and excellence/status language is negatively associated with success in Design. Beyond these sector differences, the paper's clearest cross-cutting pattern is that capability/rigor language becomes more positively associated with success as funding goals increase.Managerial Summary The value of "hype" on Kickstarter depends on what is said, what is being offered, and how ambitious the ask is. In our data, Technology campaigns are more positively associated with success when descriptions emphasize testing, technical specificity, and execution readiness, whereas Entertainment campaigns are more positively associated with attitude/affect language. In contrast, excellence/status claims are associated with lower success in Design. Across contexts, the clearest pattern is that feasibility-oriented language becomes more positively associated with success as funding goals increase, suggesting that larger asks benefit more from cues of deliverability than from undifferentiated promotional intensity.
Research Summary Entrepreneurs use strategic framing to gain support for their novel ventures, products, and services. A key challenge entrepreneurs face is that audiences often contest frames that introduce novel ideas, especially when these ideas disrupt audiences' mental and business models. Such contestation can hinder novel ideas from being accepted, a risk that is amplified when entrepreneurs face contestation from multiple audiences. We lack understanding, however, of how contestation from multiple audiences shapes the strategic framing of novel ideas. We study this question at Tony's Chocolonely, a social enterprise that faced such contestation when introducing "slave-free" chocolate. By showing how the social enterprise reacted to contestation from multiple audiences in different ways, we uncover novel mechanisms of frame change and stability.Managerial Summary Entrepreneurs use strategic framing to gain support for their novel ideas, products, and services. In so doing, they must navigate resistance from different audiences, especially when entrepreneurs introduce novel ideas that disrupt the status quo. Audience resistance can hinder novel ideas from gaining momentum. We do not know, however, how entrepreneurs can navigate resistance from multiple audiences. Our study examines how Tony's Chocolonely, a social enterprise fighting child labor in the chocolate industry, navigated resistance against its "slave-free" chocolate from diverse audiences. Our study reveals novel insights into how audience resistance shapes entrepreneurs' strategic framing of novel ideas.
Research Summary We examine how entrepreneur-expressed humility affects early stage investors' willingness to fund new ventures. In pitching contexts where investors rely on relational cues and implicit prototypes of entrepreneurs, we theorize three distinct pathways through which expressed humility shapes funding decisions. First, building on research regarding interpersonal signals in early stage valuation, we propose that humility fosters perceptions of interpersonal affect and trust and team-building qualities, increasing investors' willingness to fund. Second, drawing on implicit leadership theories, we argue that humility may trigger negative perceptions regarding the entrepreneur's ability to make rapid and risky decisions. Across a videometric analysis of 140 real-world pitches and a randomized experiment with French early stage investors, we show that expressed humility elicits both pathways, but investors prioritize positive attributions.Managerial Summary Although humility is often regarded as a positive leadership trait, it contradicts implicit prototypes of successful entrepreneurs, who are typically seen as dominant and assertive. We examine how early stage investors perceive and respond to displays of humility during pitches. We propose that entrepreneur-expressed humility produces ambiguous effects: It enhances perceptions of interpersonal affect and trust and team-building qualities, but raises doubts about the entrepreneur's ability to make rapid and risky decisions. Using a videometric analysis of 140 pitches from the French version of Shark Tank and a randomized experiment with venture capital investors, we find evidence for these competing pathways. Overall, investors prioritize the positive attributions of interpersonal skills, suggesting that entrepreneurs benefit from expressing humility when pitching.
Research Summary Using a panel of 2688 city-year observations of German fintech ventures and entrepreneurial support organizations (ESOs), we examine how ESO presence relates to venture entry. We argue and demonstrate that this relationship is contingent on local founding conditions. We find that ESO presence is most strongly associated with entry in thin ecosystems, while this association weakens in more active and developed contexts. Patterns in entries of non-supported versus ESO-supported ventures, along with differences across ESO types, support our argument that primarily ecosystem-level bridging mechanisms, such as legitimacy diffusion, knowledge spillovers, and access to relational networks, are sensitive to local conditions, whereas direct support provided by ESOs to program participants is not context-dependent.Managerial Summary Entrepreneurs, entrepreneurial support organizations (ESOs), and ecosystem builders benefit from understanding the broader economic and entrepreneurial context. In well-developed ecosystems, informal networks can provide access to knowledge, collaboration opportunities, and legitimacy signals, reducing the marginal contribution of additional ESO presence in the ecosystem. In less-developed ecosystems, ESOs can support venture formation by bridging entrepreneurs to networks, partners, and markets, and by mitigating resource scarcity and the challenges of newness. Structured programs, targeted mentorship, and guidance can support venture entry across the ecosystem, complementing existing informal networks and addressing gaps where they exist. Our findings suggest that the role and potential impact of ESOs vary with local founding conditions, emphasizing the importance of aligning support mechanisms with ecosystem maturity and structural characteristics.
Research Summary Entrepreneurs make critical decisions in uncertain environments where information is limited, outcomes are difficult to predict, and multiple goals often compete. Yet, existing research offers scattered insights into how entrepreneurs dynamically adapt to such contexts and how their decisions are shaped by behavioral and cognitive foundations such as judgment, intuition, and experience. We shed light on these phenomena by exploring how decision-making is influenced by factors at multiple levels, from individual traits and family dynamics to team interactions and organizational structures. A key aspect of our inquiry focuses on how entrepreneurs manage uncertainty by balancing economic goals, such as growth and profitability, with non-economic objectives like social impact, sustainability, or knowledge advancement. By integrating these perspectives, this work offers a conceptual framework that connects antecedents, processes, and outcomes of entrepreneurial decision-making under uncertainty and competing goals, providing a promising roadmap for future research. Managerial Summary: Entrepreneurs often make decisions in uncertain environments, where they must contend with limited information and competing goals. This work explores how entrepreneurs balance economic objectives, such as profit, with non-economic ones, like satisfying various stakeholders, achieving social impact, and sustainability. It highlights the role of individual, family, team, and organizational factors in shaping these decisions, offering novel insights into how entrepreneurs can manage trade-offs, adapt feedback-based strategies, and recalibrate priorities over time. For owners, managers, and business leaders, understanding these dynamics can lead to better decision-making, improved risk management, enhanced strategic alignment, increased innovation, and a more balanced approach to growth.
Research Summary We explore the impact of new venture team (NVT) stability on long-run organizational growth. With an instrumental variable design, we leverage a matched employer-employee dataset of all Danish new ventures from 1981 to 1997. We find strong evidence that NVT stability has a positive effect on organizational growth in employees and that the effect grows stronger over time. We also find that stability is especially impactful for larger teams and for teams with higher education levels. The gains from stability also appear to be driven entirely by mixed-gender teams. We connect our findings to the literature on NVT dynamics and suggest avenues for future research.Managerial Summary Stability within founding teams is crucial for the longevity and expansion of new ventures. We examine a dataset of Danish startups and find that ventures with stable founding teams demonstrate a 16.1 percentage point higher likelihood of survival and a 20.4% increase in average size after 10 years. This effect is accentuated in larger, more educated, and gender-diverse teams. For entrepreneurs, these insights underscore the importance of not only assembling a strong initial team but also maintaining its composition to leverage growth opportunities as the business evolves.
Research Summary Business incubators are among the most widely implemented instruments to foster entrepreneurship. Yet empirical evidence on their effectiveness remains fragmented and often contradictory. Limited research systematically compares how different types of incubators influence multiple venture performance outcomes, including innovation, survival, growth, profitability, and employment. In this meta-analysis of 39 empirical studies encompassing 55,219 firms, we synthesize the relationship between business incubation and different venture performance dimensions. Our results reveal a significant positive overall effect, moderated by the types of support mechanisms provided and the incubators' ownership identities. We find strong positive effects on innovation and a modest but statistically significant effect on growth, whereas effects on survival, profitability, and employment are weaker and, in part, statistically insignificant.Managerial Summary Policymakers regularly invest in incubators, yet uncertainty remains about which models deliver meaningful value to supported firms. Drawing on evidence from 39 studies covering more than 55,000 firms, this meta-analysis shows that incubators can improve innovation and firm growth, while effects on survival, profitability, and job creation are limited or inconsistent. Incubator design and governance are central drivers of support effectiveness. Programs that emphasize bridging-that is, linking startups to investors, customers, and expert networks-generate stronger outcomes than models focused primarily on buffering, such as subsidized space or administrative support. Private and university incubators outperform public models, which often face bureaucratic constraints. These findings provide guidance on how managers and policymakers can align an incubator's support model and governance with the specific outcomes they seek to achieve.
