Innovation by Information Technology Recombination: How Artificial Intelligence Progressive Web Apps Foster Sustainable Development
Zusammenfassung
Artificial Intelligence (AI) and Progressive Web Apps (PWAs) represent two major trends in today’s development of modern information systems. AI aims to automate intelligent behaviour whereas PWAs aim to provide fast, reliable, and engaging applications. The influence of these two key technologies on organisations and sustainable development on their own has already been explored. However, there is no research that merges these technologies in terms of recombinant innovation to show their joint potential. By conducting a systematic literature review this article reveals the positive impact of “Artificial Intelligence Progressive Web Apps” (AI-PWAs) on sustainability. It is shown that AI-PWAs can realise economic, environmental and social benefits and thus can support the achievement of the United Nations’ Sustainable Development Goals.
- Vollständige Referenz
- BibTeX
Fukas, P. & Thomas, O.,
(2021).
Innovation by Information Technology Recombination: How Artificial Intelligence Progressive Web Apps Foster Sustainable Development.
In:
, .
(Hrsg.),
INFORMATIK 2021.
Gesellschaft für Informatik, Bonn.
(S. 1369-1382).
DOI: 10.18420/informatik2021-114
@inproceedings{mci/Fukas2021,
author = {Fukas, Philipp AND Thomas, Oliver},
title = {Innovation by Information Technology Recombination: How Artificial Intelligence Progressive Web Apps Foster Sustainable Development},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 1369-1382 } ,
doi = { 10.18420/informatik2021-114 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Fukas, Philipp AND Thomas, Oliver},
title = {Innovation by Information Technology Recombination: How Artificial Intelligence Progressive Web Apps Foster Sustainable Development},
booktitle = {INFORMATIK 2021},
year = {2021},
editor = {} ,
pages = { 1369-1382 } ,
doi = { 10.18420/informatik2021-114 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
ISBN: 978-3-88579-708-1
ISSN: 1617-5468
Datum: 2021
Sprache:
(en)
(en)
