A Digital Tale of Two Cities—Observing the Dynamics of the Artificial Intelligence Ecosystems in Berlin and Sydney

Lammers, T; Cetindamar Kozanoglu, D; Bokert, M

A Digital Tale of Two Cities—Observing the Dynamics of the Artificial Intelligence Ecosystems in Berlin and Sydney

Lammers, T Cetindamar Kozanoglu, D

Bokert, M

Permalink

Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Sustainability, 2021, 13, (19), pp. 1-19
Issue Date:: 2021-09-23

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted versionAdobe PDF (4.45 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Lammers, T
dc.contributor.author	Cetindamar Kozanoglu, D https://orcid.org/0000-0002-0457-3258
dc.contributor.author	Bokert, M
dc.date.accessioned	2021-09-24T02:27:02Z
dc.date.available	2021-09-24T02:27:02Z
dc.date.issued	2021-09-23
dc.identifier.citation	Sustainability, 2021, 13, (19), pp. 1-19
dc.identifier.uri	http://hdl.handle.net/10453/150677
dc.description.abstract	In entrepreneurial ecosystems (EEs), geographical and contextual factors play a big role in shaping the knowledge bases for digital innovation. While cities around the world compete to be perceived as successful “tech startup hubs”, proactive urban strategies are needed to create knowledge spillovers into EEs. This study explores the evolution of artificial intelligence (AI) knowledge practices in the EEs of Berlin and Sydney by using knowledge-spillover theory of entrepreneurship. The study utilizes a bibliometric analysis of secondary data in combination with exploratory stakeholder interviews conducted for both cities. Findings underline the critical role of experimental knowledge in driving the momentum of the EEs and the supporting role of policies imprinting knowledge practices. The paper shows how the dynamics of EEs can be explored empirically and raises awareness of the role of specialised and integrated policies in determining a city’s overall success in building EEs.
dc.language	en
dc.publisher	MDPI
dc.relation.ispartof	Sustainability
dc.relation.isbasedon	10.3390/su131910564
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	A Digital Tale of Two Cities—Observing the Dynamics of the Artificial Intelligence Ecosystems in Berlin and Sydney
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2021-09-24T02:26:57Z
pubs.issue	19
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	19

Abstract:

In entrepreneurial ecosystems (EEs), geographical and contextual factors play a big role in shaping the knowledge bases for digital innovation. While cities around the world compete to be perceived as successful “tech startup hubs”, proactive urban strategies are needed to create knowledge spillovers into EEs. This study explores the evolution of artificial intelligence (AI) knowledge practices in the EEs of Berlin and Sydney by using knowledge-spillover theory of entrepreneurship. The study utilizes a bibliometric analysis of secondary data in combination with exploratory stakeholder interviews conducted for both cities. Findings underline the critical role of experimental knowledge in driving the momentum of the EEs and the supporting role of policies imprinting knowledge practices. The paper shows how the dynamics of EEs can be explored empirically and raises awareness of the role of specialised and integrated policies in determining a city’s overall success in building EEs.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/150677