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The entrepreneurial ecosystem (EE) literature is dominated by conceptual studies with insufficient theoretical foundations and empirical evidence on the micro-level. This study aims to explore the largely overlooked question of what the drivers that motivate small and medium-sized enterprises (SMEs) to participate in an ecosystem are.

The study adopts a qualitative exploratory approach. The empirical data consists of 19 semi-structured interviews with top management of SMEs in the health tech ecosystem in Finland. The data were analyzed using a thematic content analysis.

This study reveals a typology of drivers that motivate SMEs to participate in an ecosystem. These include social drivers (networking and cooperation and communication and knowledge sharing), resource drivers (access to resources, formal and informal support and market access) and cognitive drivers (shared goals and common values).

The study contributes to the EE research by highlighting the drivers that motivate health tech SMEs to become members of the local ecosystem. It suggests that managers and entrepreneurs need to be aware of the factors related to social, resource and cognitive drivers to ensure the future success of their business.

The study draws evidence from a micro-level perspective which enriches the understanding of the EE phenomenon. It also explores an increasingly relevant but under-researched field, the health tech ecosystem.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times.

The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors’ timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods.

This study’s results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave.

This study’s findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions.

Crucial implications can be drawn from this study’s findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study’s findings to design trading strategies and hedge against risk.

A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

Following the COVID-19 outbreak, various economies imposed different financial interventions as part of initiatives to cushion their stock markets from deteriorating performance. Our article examines the effectiveness of these interventions in protecting stock markets during the pandemic.

The authors employ Panel Vector Autoregression to model the magnitude and timing of shocks from COVID-19 to stock markets. The fixed effects regression is then utilized to assess the role of financial interventions in protecting stock markets during COVID-19. The study uses daily stock index returns as well COVID-19 containment measures stringency index data from 39 countries ranging from 2nd January 2020 to 30th September 2021.

Our findings firstly reveal a significant positive stock market reaction to country-level containment measures stringency but only during the first wave of COVID-19. We secondly show that stock market functioning interventions that include short selling bans and circuit breakers amplify the positive effects of COVID-19 containment measures stringency on stock market performance.

The authors stress the need for policymakers and regulators to timely intervene in protecting economies and stock markets during crises such as COVID-19 in order to reduce panic among investors. Moreover, investors should adjust their portfolios by investing in stocks from countries that have proper financial market interventions in place.

Despite growing body of literature on COVID-19 and stock market performance, there is limited evidence on the role of financial sector interventions to cushion stock markets during tumultuous conditions caused by the pandemic.

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.

The emerging concept of entrepreneurial ecosystems has captured the attention of scholars, practitioners and policymakers. Although studies on entrepreneurial ecosystems continue to grow, their contributions are still disintegrated. Thus, the purpose of this paper is to present a systematic review of extant literature on entrepreneurial ecosystems and to develop a research agenda.

The study deployed a systematic literature review of 51 articles obtained from three comprehensive databases of Web of Science, Google Scholar and Scopus. The analysis includes two phases. First, a descriptive account of research on entrepreneurial ecosystems and second, a content analysis based on a thematic categorization of entrepreneurial ecosystems research.

The findings show that the concept of entrepreneurial ecosystems is both under-theorized and it has been recently dominated by conceptual studies. The focus of empirical research is on technology-based industries in Western economies using cases studies as methodological approach.

This review contributes to the body of knowledge on entrepreneurial ecosystems research by providing a systematic review following a thematic grouping of extant research into antecedents, outputs and outcomes of entrepreneurial ecosystems.

It reveals existing theoretical and empirical gaps in research as well as offering avenues of future research on entrepreneurial ecosystems.