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http://hdl.handle.net/10609/148610
Títol: | Strategic decision making in smart home ecosystems: A review on the use of artificial intelligence and Internet of things |
Autoria: | Rodriguez Garcia, Patricia Li, Yuda Lopez-Lopez, David Juan, Angel A. |
Citació: | Rodriguez-Garcia, P. [Patricia]. Li, Y. [Yuda]. Lopez-Lopez, D. [David]. Juan, A. [Angel A.]. (2023). Strategic decision making in smart home ecosystems: A review on the use of artificial intelligence and Internet of things, Internet of Things, Volume 22, 100772, ISSN 2542-6605. DOI : https://doi.org/10.1016/j.iot.2023.100772 |
Resum: | In the context of smart-home ecosystems (SHE), this paper reviews the existing literature on the application of artificial intelligence (AI) and Internet of things (IoT) concepts in strategic decision-making. The paper provides insights about this field by identifying main trends, potential benefits, challenges and opportunities of generating new business models related to the creation of SHE. A conceptual framework is presented and analysed according to three sources of value creation: (i) AI for strategic decision support; (ii) AI for alliances and partnerships; and (iii) AI and IoT in SHE. One of the uniqueness of this paper is the fact that the clustering analysis combines the authors’ assessment with the results of a machine learning method (non- negative matrix factorization). Our findings contribute to enrich both theoretical and managerial perspectives with new forms of corporate development. |
Paraules clau: | strategic decision making smart-home ecosystems artificial intelligence internet of things |
DOI: | https://doi.org/10.1016/j.iot.2023.100772 |
Tipus de document: | info:eu-repo/semantics/article |
Versió del document: | info:eu-repo/semantics/publishedVersion |
Data de publicació: | 18-abr-2023 |
Llicència de publicació: | http://creativecommons.org/licenses/by/4.0/ |
Apareix a les col·leccions: | Articles |
Arxius per aquest ítem:
Arxiu | Descripció | Mida | Format | |
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1-s2.0-S2542660523000951-main.pdf | 1,01 MB | Adobe PDF | Veure/Obrir |
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