Development of a multi-dimensional measure for assessing entrepreneurial ecosystems

Liguori, Eric W.; Bendickson, Josh; Solomon, Shelby J.; McDowell, William C.

doi:10.1080/08985626.2018.1537144

Cited by 141 publications

(118 citation statements)

References 56 publications

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“…Universities are well placed to provide these learning experiences due to the presence of staff with backgrounds in teaching and the ability to facilitate learning. At the regional ecosystemic level, our experiences in Lancaster confirm previous findings in the EE literature which see universities as ecosystem hubs (Malecki 2018), fostering entrepreneurship and innovation (Miller and Acs 2017), as key nodes in the Entrepreneurial Ecosystem (Bliemel et al 2019;Cumming et al 2019;Liguori et al 2019). We suggest that by taking this practical role as the learning facilitator and driver of the ecosystem, we can carve out a space in which universities can contribute positively to entrepreneurial ecosystem development and growth.…”

Section: Integrated Learning and The Importance Of Reflexivity For Ecsupporting

confidence: 84%

“…Furthermore, it is believed that the presence of local universities as a part of the ecosystem can foster entrepreneurship and innovation (Miller and Acs 2017). Indeed, universities, science parks and incubators have been identified by previous work as key nodes or hubs in the EE (Bliemel et al 2019;Cumming et al 2019;Liguori et al 2019;Miller and Acs 2017;Malecki 2018). However, Spigel (2016) highlights that the mere presence of such structures does not ensure they will be productively used.…”

Section: Introductionmentioning

confidence: 99%

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Developing local entrepreneurial ecosystems through integrated learning initiatives: the Lancaster case

et al. 2019

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This paper considers a concept gaining popularity: entrepreneurial ecosystems. It finds a significant lacuna in the concept as it stands as it does not sufficiently consider learning within regional ecosystems. Considering the established centrality of learning for entrepreneurial activity and regional development, it is surprising that the entrepreneurial ecosystem literature does not yet incorporate how learning occurs in time and space within regional ecosystems. This paper presents research conducted in the North West of England over (20) years examining programmes to support entrepreneurial and regional development. It argues that learning, and the pro-active support thereof, is crucial within an entrepreneurial ecosystem and should be fully considered within theoretical frameworks and policy blueprints designed to support and encourage entrepreneurship within regions. As a tangible suggestion of how to theoretically incorporate learning into entrepreneurship ecosystem development efforts, we present an integrated learning model developed by entrepreneurship scholars through collaborations with practitioners.

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Section: Integrated Learning and The Importance Of Reflexivity For Ecsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Developing local entrepreneurial ecosystems through integrated learning initiatives: the Lancaster case

et al. 2019

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“…It is the interrelation of creatures/agents within their nonliving environment which generates a value for all creatures/agents, enabling them to survive, i.e., to reproduce themselves/ progress. Entrepreneurship (i.e., the exploitation of previously non-commercialized knowledge and ideas) constitutes an essential determinant in the emergence and persistence of an ecosystem, or a regional economic system in general (Liguori et al, 2019). Like Auerswald and Dani (2017), we argue that an entrepreneurial ecosystem and a business ecosystem are subsets and nested within a broader regional economic system.…”

Section: Introductionmentioning

confidence: 85%

“…Policy, markets, finance, culture, supports, and human capital are core domains of entrepreneurial ecosystems (Isenberg, 2011;Liguori et al, 2019) and stand-up; start-up and scale-up are structural aspects of entrepreneurial ecosystems (see Autio et al, 2018). Spigel (2017) argues, based on Canadian case studies, that entrepreneurial ecosystems consist of material, cultural, and social attributes.…”

Section: Defining Entrepreneurial Ecosystemsmentioning

confidence: 99%

Entrepreneurial ecosystems: a dynamic lifecycle model

et al. 2020

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The concept of entrepreneurial ecosystems has been used as a framework to explain entrepreneurial activities within regions and industrial sectors. Despite the usefulness of this approach, the concept is undertheorized, especially with regard to the evolution of entrepreneurial ecosystems. The current literature is lacking a theoretical foundation that addresses the development and change of entrepreneurial ecosystems over time and does not consider the inherent dynamics of entrepreneurial ecosystems that lead to their birth, growth, maturity, decline, and re-emergence. Taking an industry lifecycle perspective, this paper addresses this research gap by elaborating a dynamic entrepreneurial ecosystem lifecycle model. We propose that an ecosystem transitions from an entrepreneurial ecosystem, with a focus on new firm creation, towards a business ecosystem, with a core focus on the internal commercialization of knowledge, i.e., intrapreneurial activities, and vice versa. Our dynamic model thus captures the oscillation that occurs among entrepreneurs and intrapreneurs through the different phases of an ecosystem's lifecycle. Our dynamic lifecycle model may thus serve as a starting point for future empirical studies focusing on ecosystems and provide the basis for a further understanding of the interrelatedness between and coexistence of new and incumbent firms.

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“…This process is necessary for implementing adaptability in the system. This will allow to respond to the actions of the trainee in a timely manner and offer him those educational objects that are most suitable for him to achieve the goal of training (Liguori et al, 2019). Collecting student learning activity is supported by the xAPI and cmi5 standards.…”

Section: Overview Of Lrs Systems' Capabilities In Online Learningmentioning

confidence: 99%