A Transdisciplinary Approach for Predicting and Tuning to Optimise Initial Business Performance Steady State in a Changing and Connected Environment. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Carlos_Aldana>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Federico_Trigos>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.3233%2FATDE230649>
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dc:identifier	DBLP conf/ispe/TrigosA23 (xsd:string)
dc:identifier	DOI doi.org%2F10.3233%2FATDE230649 (xsd:string)
dcterms:issued	2023 (xsd:gYear)
rdfs:label	A Transdisciplinary Approach for Predicting and Tuning to Optimise Initial Business Performance Steady State in a Changing and Connected Environment. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Carlos_Aldana>
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swrc:pages	541-550 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/ispe/ispe2023.html#TrigosA23>
rdfs:seeAlso	<https://doi.org/10.3233/ATDE230649>
swrc:series	<https://dblp.l3s.de/d2r/resource/conferences/ispe>
dc:title	A Transdisciplinary Approach for Predicting and Tuning to Optimise Initial Business Performance Steady State in a Changing and Connected Environment. (xsd:string)
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