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Media type:
E-Article
Title:
Deep and organizational learning as innovation catalyzer in digital business ecosystems – a scenario analysis on the tourism destination Berlin
Contributor:
Schuhbert, Arne;
Thees, Hannes;
Pechlaner, Harald
imprint:
Emerald, 2023
Published in:European Journal of Innovation Management
Language:
English
DOI:
10.1108/ejim-08-2022-0448
ISSN:
1460-1060
Origination:
Footnote:
Description:
<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The below-average innovative capacity of the tourism sector raises the question on the potentials of digital business ecosystems (DBEs) to overcome these shortages at a destination level – especially within a smart city environment. Using the example of the German Capital Berlin, this article aims to discuss both the possibilities and inhibitors of innovative knowledge-creation by building scenarios on one specific design option: the integration of digital deep learning (DL) functionalities and traditional organizational learning (OL) processes.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>Using the qualitative GABEK-method, major characteristics of a DBE as resource-, platform- and innovation systems are analyzed toward their interactions with the construction of basic action models (as the basic building blocks of knowledge).</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Against the background of the research findings, two scenarios are discussed for future evolution of the Berlin DBE, one building on cultural emulation as a trigger for optimized DL functionalities and one following the idea of cultural engineering supported by DL functionalities. Both scenarios focus specifically on the identified systemic inhibitors of innovative capabilities.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>While this study highlights the potential of the GABEK method to analyze mental models, separation of explicit and latent models still remains challenging – so does the reconstruction of higher order mental models which require a combined take on interview techniques in the future.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The resulting scenarios innovatively combine concepts from OL theory with the concept of DBE, thus indicating possible pathways into a tourism future where the limitations of human learning capacities could be compensated through the targeted support of general artificial intelligence (AI).</jats:p></jats:sec>