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This study aims to understand the impact of underlying theme in the communication on social media on funding received by early-stage start-ups.

The study is based on empirical testing of data of 849 start-ups and more than 130K tweets. Machine learning (ML) model has been used for text classification of 130K+ tweets. Causal mediation analysis with bootstrapping is carried out for hypothesis testing.

Tweets addressing quality-related uncertainty are a predictor of amount of funds raised. Audience response acts as a mediator between tweets focusing on relational orientation and amount of funds raised.

The authors advance signaling theory by theorizing and investigating the importance of signal content. Endogenous signal of quality directly influences the start-ups outcomes, while exogenous signal helps disseminate information and influence the success.

Entrepreneurs should put in concerted effort to reduce uncertainty about the start-ups. Value creation is a central concept for start-ups; however, communicating value should be the dominant part of social media strategy.

Computer-based language processing techniques have amplified the research focused on content. To the best of the authors’ knowledge, this is the first comprehensive study that explores underlying themes of communication of start-ups and their impact on acquiring funds.

Unlike the previous studies that examined the direct relationship between media attention on entrepreneurship (MAE) and entrepreneurship participation, this paper aims to examine the mediated link through entrepreneurial intention.

The cognitive theory of media provides the foundation for predictions that primary outcome of MAE is the entrepreneurial intention which in turn affects the different types of entrepreneurship participation (early-stage startup activities, new product development [NPD] activities and informal investment activities). The test of the hypothesized model relies on panel data for 2010–2015 on 40 developing and developed countries taken from the Global Entrepreneurship Monitor report of 2015.

MAE has an indirect effect on two types of entrepreneurship participation (early-stage startup activities and informal investment activities) via entrepreneurial intention, whereas there is no direct or indirect effect of MAE on NPD activities. The findings also suggest when the entrepreneurial intention is added as a mediator in the model; the direct effect of MAE on early-stage entrepreneurial activities becomes insignificant.

To the best of the authors’ knowledge, this is the first study in its nature which established the relationship between MAE and entrepreneurial intention. In addition, this study also explained the mediation mechanism between the relationship of MAE and entrepreneurship participation by using the panel data.

The purpose of this paper is to focus on the early development of eHealth service start-ups. To elaborate the research problem, the study addresses the following research questions: How do managerial experiences in eHealth service start-ups relate to the central findings of the recent empirically based stages-of-growth literature? What context-specific viewpoints should be considered when using the stage framework in relation to eHealth service start-ups?

In this explorative multiple case study, the authors test a growth framework describing the early stages of eHealth service firms through eight case studies. The authors utilise the critical incident technique and semi-structured interviews in the data collection.

When taking into account the key contradictions assessed in the study as well as context-specific features of eHealth businesses, the empirically based stage framework seems to be a useful starting point for reflecting on and predicting the challenges faced during the early development of eHealth service start-ups. Slow growth due to several factors and the essential role of the public sector were commonly emphasised elements of the context-specific viewpoints of the eHealth service business.

The results may be used in start-ups and intermediary organisations as a framework for predicting managerial challenges during the start-up stage of an eHealth service business.

Numerous universal models and frameworks have attempted to clarify management priorities during the early stages of business. However, context-specific viewpoints and their effects on start-ups have not been broadly studied. This study provides new insights into growth management in the eHealth context.

This study examines the mediation effects of entrepreneurial attitudes (EAs) on the nexus of the entrepreneurial ecosystem (EE) quality and productive entrepreneurship for early-stage and high-growth entrepreneurial activities.

The study employs global entrepreneurship monitor (GEM) panel data of 137 economies from 2014 to 2018. Random effect panel regressions and relative effect size estimations were used for data analysis.

The study’s findings show complementary mediation effects suggesting that EE quality steers entrepreneurial activities via the EA. However, such mediation is much more vivid towards high growth than early-stage activities. Vibrant EEs provide necessary resources that boost the attitude of potential and nascent entrepreneurs to engage in early stage and high-growth entrepreneurial activities.

The study utilizes GEM data to explain the EEs and EA dynamics and their related effects on entrepreneurship at the macro level. Future research may study the phenomena by using micro level data.

The paper explores a less empirically researched question on how EEs steer entrepreneurship growth and development. It reveals a need for new perspectives/logics (e.g. mediation/moderation) for improving the explanations on the extant EEs framework. It further informs policymakers and practitioners to design entrepreneur-centred EE policies and programs.

This paper aims to investigate the factors that influenced seven graduates in the creative and digital industries to start their own businesses in Barnsley, South Yorkshire, UK – an area with lack of employing establishments and locally registered businesses.

Questionnaires and semi‐structured interviews identified the constraining and enabling factors graduates may encounter when attempting to start a business, and explored the impact of support provided.

Perceived constraining factors were: lack of general business knowledge, contradictory advisory support from external agencies, lack of sector‐specific mentors, lack of finance, and experience of familial entrepreneurship. Perceived enabling factors were: co‐mentoring from business partners, course content, financial gain, creativity and innovative ideas, control and risk taking, and the overarching package of support. Linkages between internal and external support could be improved.

The study provided insights into constraints and enablers to self‐employment for a small cohort of recent graduates looking to start‐up in the creative and digital industries. Further studies are required to explore the suggested effect of the “creative identity”, and of sector‐specific family entrepreneurial background.

The support provided by universities can facilitate the transition from early stage ideas to actual graduate business start‐up. Issues such as provision of specialist advice and links with external parallel and follow‐on support need to be considered.

University start‐up units provide an important contribution to the development of graduate entrepreneurs and their role in the growth of national and global economy. Suggestions for improvements in performance, such as closer links with external business development agencies and support providers, are discussed.

Canada has lagged in access to capital for high-potential, growth-oriented new ventures, but has made considerable strides in the past decade. This study aims to examine the evolving state of the market for risk capital in Canada during the COVID-19 pandemic, providing a critical assessment of government policy from the perspective of angel investors and diverse communities of entrepreneurs.

A thematic analysis was conducted of seven COVID-19 roundtable discussions hosted by the National Angel Capital Organization that included 51 global and national-level business and political leaders. The analysis extracted the most salient details from the discussions, distilling them into timely and actionable insights for policymakers.

The analysis suggests that the government’s economic policy response to the COVID-19 crisis fails to address the sudden liquidity problems faced by new ventures. Entrepreneurs and angel investors have remained resilient, rallied as a community and demonstrated an extraordinary level of trust. Traditionally under-represented communities of entrepreneurs are more affected by the crisis than others.

The findings and recommendations are of relevance to policymakers interested in post-COVID-19 economic policies to address the unique challenges faced by start-ups and ensure their full contribution to economic recovery.

The paper presents several policy recommendations and proposes a novel framework to describe the impacts of the pandemic on different categories of start-ups.

Existing business model frameworks show weak conceptual unification, a paucity of measurement focus and limitations when applied in emerging economies. The study proposes a new business model framework – “Start-up Evaluation Calculus Using Research Evidence” (SECURE). The purpose of this study is to allow the measurement of the impact of business model design on start-up performance in emerging economies.

Data collected from 713 entrepreneurs in select cities of India, Oman and the United Arab Emirates is analyzed through structural equation modeling. The study uses measurement and structural models to examine the validity of measures and additionally tests the five hypothesized relationships proposed in the study.

The SECURE’s components comprising desirability, marketability, feasibility, scalability and viability showed validity and reliability. They synergistically demonstrated a statistically significant effect on a mix of financial and non-financial start-up performance outcomes. An alternative structural relationship that examined the impact of SECURE on only financial performance outcomes showed a weaker model fit. The findings indicate that a business model framework is useful when its ex ante measures show a positive causal effect on the desired performance outcomes.

The scores obtained by the SECURE framework serve as an evaluative tool that informs entrepreneurs and start-ups on the readiness of their proposed, incubated or existing start-ups.

Replacing subjective judgments with objective assessment criteria, SECURE is one of the first quantitative and performance-driven business model frameworks that contain measures from all functional domains of a start-up business. Start-ups can evaluate their business models against the SECURE model’s research-driven quantitative criteria and assess their impact on start-up performance.

There is arguably a balance between exploration and exploitation within a commercial organization which leads to sustainable growth and value creation. Exploratory activities are associated with search, innovation, risk-taking and experimentation. Activities, such as selection, implementation and execution are considered exploitative in nature. We show that the governance structures and mechanisms that are typically employed in venture capital-backed companies ensure an optimum balance between the exploratory behavior of entrepreneurs and the exploratory focus of venture capitalists. New players in the venture capital cycle, such as crowdfunding platforms and corporate venture capital units, often fail to understand the importance of the interaction and interrelation between the apparently opposing exploratory and exploitative activities. However, collaborative venture capital models that are currently emerging appear to restore the necessary equilibrium in the “new” venture capital cycle.

This study aims to examine the venture capital (VC) industry in China. It has demonstrated a history of high growth with significant variations over time. The authors have examined the trends and determinants of VC investments in China over a 20-year period from 1995 to 2014. They find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. initial public offerings (IPOs), interest rate, price-to-earnings ratio, etc.). They also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk levels by allocating more capital to later-stage investments and securing more deals with later-round financings. However, after the 2008 global financial crisis, the China’s venture industry has recovered faster compared to the US counterpart response.

The authors first perform trend analysis of VC investments at an aggregate level, by stages of development, and across industry from 1995 to 2014.To test H1 and H2, the authors use multiple regression models with lagged explanatory variables. To test H3, the authors use univariate tests to compare the measures of VC investments at an aggregate level, stage funds ratios, stage deals ratios and financing series ratios during both a five-year and seven-year time windows around the 2007 A-Share stock market crash and the subsequent financial crisis.

The development of the VC industry in China has demonstrated a history of high growth with significant variation over time. The authors find that the aggregate amount of VC investments, the total number of venture deals and the average amount of venture investments per deal in China are all significantly impacted by macroeconomic conditions (i.e. GDP, export, money supply), technology innovations and financial market indicators (i.e. IPOs, interest rate, price-to-earnings ratio, etc.). The authors also find that the 2007 China A-Share stock market crash and the subsequent global financial crisis have motivated VCists in China to adjust their investment strategies and risk by allocating more capital to later-stage investments and securing more deals with later-round financings. However, the China VC industry has recovered faster compared to the USA just after the 2008 global financial crisis.

There are also limitations in the study. The VC data in China in the earlier 1990s might not be very reliable due to the quality of statistics. Therefore, the trend analysis and discussions mainly focus on the time after 2000. Also, the authors cannot find VC financing sequence data for the analysis. Second, there is no doubt that the policy impact from Chinese transforming economic system and government policies on its VC industry is substantial (Su and Wang, 2013). However, they cannot find an appropriate variable to be included in the empirical models to consider this effect. Further study on this area would provide meaningful information. Third, although the authors have done comparison study between the VC industry in China in this study and the VC industry in the US documented in Ning et al. (2015) and discussed some interesting findings, more in-depth research in this area will be very useful.

The findings have meaningful implications for VCists and start-up companies seeking equity financings in China. VCists should closely monitor macroeconomic and market conditions to make appropriate adjustments to their risk and investment strategies. Entrepreneurs seeking equity financings for their business could also monitor the identified macroeconomic and market indicators, which can help them with their timing and to negotiate a better equity financing deal. VC financing is more likely to succeed when key macroeconomic and market indicators become favorable.

This paper contributes to the literature by testing the supply and demand theory on the VC market proposed by Poterba (1989) and Gompers and Lerner (1998) from the macroeconomic perspective using 20 years’ VC data from China. The authors also examine how the 2007 A-Share stock market crash and the subsequent financial crisis affected VCists to adjust their risk levels and investment strategies. It provides useful information for international academia and policymakers to understand the quick rise of China VC industry. The authors also find that the macroeconomic drivers of VC industry are somewhat different under different economic systems.

Many start-ups do not survive the first few years of business. Previous studies suggest that networks play a role in start-ups' success, but this positive effect has limits. The purpose of this paper is to answer the call for a better understanding of the dark side of networks and the variables that condition variables' effect on the likelihood of start-ups' survival.

A longitudinal research design includes 139 start-ups (102 from Germany and 37 from Portugal) and a total of 252 participants. A generalized linear mixed model (GLMM)was applied to estimate all the coefficients, to test the mediation (H1), the moderation (H2) and the moderated mediation (H3) while considering the economic situation of the start-up (sales growth), start-ups' networking behavior, creativity orientation and ultimately the likelihood of survival.

Based on an empirical study from two different countries, the results show that effective networking is contingent on the start-up's economic situation and creative potential. Specifically, the results point to situations in which early sales growth may lead to external networking, which, in contexts of low creativity-oriented start-ups, can compromise the start-ups' success.

Based on the findings, the authors compare scenarios in which networking increases the chances for start-up survival with situations where networking can have adverse effects. This study highlights the importance of considering specific start-up parameters, such as start-ups' economic situation and level of creativity orientation, in the business venturing literature.