scholarly journals Exploring the Governance of Entrepreneurial Ecosystems for Productive High Growth

2021 ◽  
Vol 15 (4) ◽  
pp. 9-21
Author(s):  
Marta Gancarczyk ◽  
◽  
Sławomir Konopa ◽  

This paper aims to empirically identify the characteristics and governance types of regional entrepreneurial ecosystems (EEs) associated with productive high-growth entrepreneurship (PHGE). We developed a unique database comprised of public statistics on high-growth enterprises and regional EEs in Poland over the course of 2011–2018. The Hierarchical Clustering on Principal Components and a taxonomic analysis were used to identify how different types of EE governance relate to varying levels of high-growth enterprises’ performance. We have identified and described the relationships between PHGE and diverse clusters of EE governance and evolution stages toward developed structures. Two clusters proved similarly effective in generating PHGE and they represent alternative EE governance solutions as well as the most advanced evolutionary phases. The proposed conceptualizations of productive high-growth entrepreneurship and EE governance types advance the understanding and measurement of these phenomena. The profiling and configurational approach adopted in this research reflects the heterogeneity of EE governance types and outcomes and can be further replicated in other research settings.

Author(s):  
Sachin A Meshram ◽  
A. M. Rawani

Entrepreneurial ecosystems are a strategy that is designed to nurture economic development by promoting entrepreneurship, small business growth, and innovation. Ecosystems represent a new direction for entrepreneurship research that simultaneously increases knowledge of the complex contextual environments surrounding the entrepreneurship process, while at the same time providing useful contributions to policy debates around the role of high-growth entrepreneurship as a driver of regional economic development. This article reviews the concept evolution; different definitions and factors of entrepreneurial ecosystems. Additionally, it provides approaches of past contributions about entrepreneurial ecosystem. This article contributes to knowledge generation and provides further research directions. This study is an attempt to cover the different articles that exist on the entrepreneurial ecosystems.


2018 ◽  
Vol 33 (1) ◽  
pp. 88-109 ◽  
Author(s):  
Feng Xiaojun

This article suggests cautious optimism toward the prevailing Polanyian countermovement discourse by providing a timely and comprehensive examination of the enforcement of the labour dispatch regulation in China. Since the enactment of the regulation, some enterprises have narrowed the remuneration gap between agency workers and formal employees, while others have retained a large gap in overtime pay, bonuses, and welfare benefits between these two groups of workers. The regulation has reduced the number of agency workers, but has invoked the abuse of the more precarious ‘outsourced’ workers as well. The regulation has had little effect on limiting the use of agency labour to temporary, auxiliary, or substitute positions, raising the requirements of engaging in the labour dispatch business, or stabilizing the employment of agency workers. This article contributes to the extant literature on regulatory enforcement by examining the effects of non-standard employment regulation, highlighting the variance of labour law compliance among enterprises with different types of ownership, and demonstrating how China’s ongoing transformation from a planned to a market economy since the 1980s and from high growth to a new normal since 2010 has fundamentally constrained the full implementation of its labour protection regulation.


Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3095
Author(s):  
Małgorzata Maśko ◽  
Małgorzata Wierzbicka ◽  
Łukasz Zdrojkowski ◽  
Tomasz Jasiński ◽  
Bartosz Pawliński ◽  
...  

As the breeding of donkeys has increased due to different types of use, welfare evaluation importance increases. This equid’s welfare state has been described using body condition indicators and the geometric morphometrics method. However, the dorsal profile has not yet been assessed in donkeys. In this study, the body condition score (BCS), fatty neck score (FNS), dental condition score (DCS), sex, and breed were used as criteria of dorsal profile deformations. Photographs of 40 donkeys were analyzed using geometric morphometrics. Within the entire set of dorsal profiles, the variance of the first three principal components (PCs) was PC1 = 37.41%, PC2 = 23.43%, and PC3 = 13.34%. The dorsal profiles displayed deformation as an effect of FNS and BCS on size (FNS p = 0.012; BCS p = 0.024) and shape (FNS p < 0.0001; BCS p < 0.0001), rather than as an effect of DCS (p < 0.0001), sex (p = 0.0264), and breed (p < 0.0001) only on shape. The highest distances among the categories (Mahalanobis distances: MD ≥ 13.26; Procrustes distances: PD ≥ 0.044) were noted for FNS. The lowest distances were noted between jennets and males (MD = 4.58; PD = 0.012) and between BCS 1 and BCS 2 (MD = 4.70; PD = 0.018). Donkeys’ body condition affects their dorsal profile and both FNS and BCS measurements should be considered when a donkey’s dorsal profile is investigated.


2021 ◽  
Vol 19 (1) ◽  
pp. 48
Author(s):  
Ferdy Saputra ◽  
Tike Sartika ◽  
Anneke Anggraeni ◽  
Andi Baso Lompengeng Ishak ◽  
Komarudin Komarudin ◽  
...  

<p class="MDPI17abstract"><strong>Objective: </strong>This study tries to examine several multivariate methods in classifying genetic diversity using microsatellite allele frequency data.</p><p class="MDPI17abstract"><strong>Methods: </strong>This study used microsatellite allele frequency data from White Leghorn (n = 48), Kampung (n = 48), Pelung (n = 24), Sentul (n = 24), and Black Kedu (n = 25) from Indonesian Research Institute for Animal Production. Allele frequency data were analyzed by the Neighbor-Joining (NJ) method using the POPTREE2 program. The data was also analyzed by the Principal Component Analysis (PCA), Correspondence Analysis (CA), and Hierarchical Clustering on Principal Components (HCPC) methods using the factoextra and FactoMineR packages in the R 4.0.0 program.<strong></strong></p><p class="MDPI17abstract"><strong>Results: </strong>Correspondence Analysis (CA) found Sentul is more closer to Black Kedu. However, based on NJ, PCA, and HCPC showed Sentul is closer to Kampung. Based on the value of Dimension 1, Correspondence Analysis (80.7%) can explain greater variation than PCA (58.9%). However, CA method generated different results compared to NJ, PCA, and HCPC. NJ, PCA, and HCPC found four chicken clusters, namely cluster 1 (White Leghorn), cluster 2 (Pelung), cluster 3 (Black Kedu), and cluster 4 (Kampung and Sentul).<strong></strong></p><p class="MDPI17abstract"><strong>Conclusions: </strong>In conclusion, HCPC is a better multivariate method for analyzing allele frequency data than PCA and CA. HCPC can be used to analyze allele frequency data better than PCA, because HCPC is a combination of methods from hierarchical clustering and principal components.</p>


Ekonomika ◽  
2021 ◽  
Vol 67 (4) ◽  
pp. 65-74
Author(s):  
Maja Ivanović-Đukić ◽  
Tamara Rađenović ◽  
Miljana Talić

The paper analyses the contribution of different types of innovative entrepreneurship: new products entrepreneurship, new technology development entrepreneurship, high growth expectation entrepreneurship and average growth expectation entrepreneurship to economic growth in emerging markets. The aim of paper is to identify types of innovative entrepreneurship which have the greatest contribution to economic growth in emerging markets and propose measures that macroeconomic policy makers could implement to achieve sustainable economic growth. The regression analysis is performed in order to estimate the impact of different types of innovative entrepreneurship on economic growth in 13 emerging markets. The results have shown that a high growth expectation entrepreneurship has the greatest influence on economic growth. Also, results have shown that impact of new products entrepreneurship is bigger than impact of technology development entrepreneurship on economic growth in emerging markets.


2019 ◽  
Vol 8 (3) ◽  
pp. 359-383
Author(s):  
Kevin Walsh

Purpose Entrepreneurial ecosystems offer an approach to analyse the evolution and resilience of a region by placing the emphasis on the interactions that occur between entrepreneurs and the supporting regional resources. The purpose of this paper is to analyse the transformation of a region with high-growth firms to identify the coordinating structures that evolve in response to entrepreneurial recycling of resources. Design/methodology/approach This study uses network analysis to explore the scaling capability network of leaders in Dublin’s high-growth IT firms over a 15-year period. Findings After a gestation period of 10 years, leaders displayed prior experience from an initial entrant. Towards the end of the study period, numerous well-connected internet firms arose providing a structure resilient to exogenous and endogenous shocks. Research limitations/implications The findings suggest that the region’s structure changed from a satellite platform to a “hub and spoke” type district, and is showing signs of becoming a Marshallian type district, although the analysis is limited to regional knowledge capital through leadership mobility and does not consider the financial, social or institutional capital described in the entrepreneurial ecosystems literature. Practical implications Policy that aims to create regional resilience but minimise the scope of intervention needed can encourage the introduction of an anchor firm to a region and can complement this initiative with regional capability accumulation through labour policies that encourage resource recycling and minimise human capital leakage. Originality/value This contributes to an understanding of how entrepreneurial ecosystems evolve and the structure of the supporting resources that lead to increased regional resilience.


Materials ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2429
Author(s):  
Sebastian Micus ◽  
Michael Haupt ◽  
Götz T. Gresser

Experts attest the smart textiles market will have high growth potential during the next ten years. Laser soldering is considered to be a good contacting method because it is a contactless process. For this reason, it is intended to investigate the contacting process of printed circuit boards (PCB) to isolated conductive textile strips by means of a ytterbium-doped fiber laser (1064 nm). During the investigation, the copper strands in the textile tape were stripped by the laser and soldered to the PCB without any transport of the textile. Therefore, we investigated different sets of parameters by means of a design of experiment (DoE) for different types of solder pastes. Finally, the joinings were electrically analyzed using a contact resistance test, optically with a REM examination, and mechanically using a peeling test.


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