University of Oulu

Xu, Y.; Ahokangas, P.; Turunen, M.; Mäntymäki, M.; Heikkilä, J. Platform-Based Business Models: Insights from an Emerging AI-Enabled Smart Building Ecosystem. Electronics 2019, 8, 1150,

Platform-based business models : insights from an emerging AI-enabled smart building ecosystem

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Author: Xu, Yueqiang1; Ahokangas, Petri1; Turunen, Marja2;
Organizations: 1Martti Ahtisaari Institute, University of Oulu, 90014 Oulu, Finland
2Turku School of Economics, Information Systems Science, University of Turku, 20500 Turku, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2019
Publish Date: 2020-04-24


Artificial intelligence (AI) is emerging to become a highly potential enabling technology for smart buildings. However, the development of AI applications quite often follows a traditional, closed, and product-oriented approach. This study aims to introduce the platform model and ecosystem thinking to the development of AI-enabled smart buildings. The study identifies the needs for a user-oriented digital service ecosystem and business model in the smart building sector in Finland, which aimed to facilitate the launch of scalable businesses and an experiential and dynamic business ecosystem. A multi-method, interpretive case study was applied in the focal ecosystem, with the leading real estate and facility management operators in Northern Europe as part of a Finnish national innovation project. Our results propose an extended comprehensive framework of the 5C ecosystemic model (Connection, Content, Computation, Context, and Commerce) and the possible paths of ecosystem players in the domain of smart building and smart built environment, both theoretically and empirically. The platform-oriented business models are missing, yet desired, by the ecosystem actors. The value chain and ecosystem platforms imply the quest for new (platform) models. Finally, our research discusses the need for new value-chain- and ecosystem-oriented AI development and big data platforms in the future.

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Series: Electronics
ISSN: 2079-9292
ISSN-E: 2079-9292
ISSN-L: 2079-9292
Volume: 8
Issue: 10
Article number: 1150
DOI: 10.3390/electronics8101150
Type of Publication: A1 Journal article – refereed
Field of Science: 512 Business and management
Funding: This research is funded by Business Finland (the Finnish public funding agency for research and technology development), the VirpaD project.
Copyright information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (