Litcius/Paper detail

An Entrepreneurial University Ecosystem for Sustaining the Twin Transition Through a Complex Adaptive System Approach

Giustina Secundo, Alessandro Massaro, Pasquale Del Vecchio, Antonello Garzoni

2024IEEE Transactions on Engineering Management16 citationsDOI

Abstract

The impact of digital and green transitions (the “ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">twin transition</i> ”) brings societal challenges that universities must address proactively by assuming an ecosystem organisational model. Beginning from this premise, this paper aims to investigate how an entrepreneurial university ecosystem having adopted a dynamic evolution model can sustain its stakeholders in facing the twin transition. The study proposes to adopt system dynamics as a methodology for modelling the complexity characterising an entrepreneurial university ecosystem in terms of nodes and knowledge flow in their accomplishment of the twin transition. Accordingly, the paper presents evidence from a case study of an entrepreneurial university ecosystem in South Italy, the LUM University “Giuseppe Degennaro” in Bari. The LUM university evolved in response to the stakeholders' challenges in facing both digital transformation and green transition. Findings show that universities must change quickly to incorporate entrepreneurship activities and complex interrelationships among the various stakeholders according to the complex adaptive system model. Implications for theory and practice regard the novel role of the entrepreneurial university ecosystems actively engaged in sustaining stakeholders' achievement of the twin transition's strategic goals.

Topics & Concepts

EcosystemComplex adaptive systemEntrepreneurshipBusinessKnowledge managementIndustrial organizationComputer scienceEnvironmental resource managementEconomicsEcologyArtificial intelligenceBiologyFinanceCognitive Science and Mapping
An Entrepreneurial University Ecosystem for Sustaining the Twin Transition Through a Complex Adaptive System Approach | Litcius