Case model for the RoboInnoCase recommender system for cases of digital business transformation: structuring information for a case of digital change
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Autor:in (Körperschaft)
Publikationsdatum
2019
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
ICEIS 2019. 21st International Conference on Enterprise Information Systems. Proceedings
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
3
Ausgabe / Nummer
Seiten / Dauer
62-73
Patentnummer
Verlag / Herausgebende Institution
SciTePress
Verlagsort / Veranstaltungsort
Setúbal
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
In this work, we develop a case model to structure cases of past digital transformations which act as input data for a recommender system. The purpose of that recommender is to act as an inspiration and support for new cases of digital transformation. To define the case model, case analyses, where 40 cases of past digital transformations are analysed and coded to determine relevant attributes and values, literature research and the particularities of the case for digital change, are used as a basis. The case model is evaluated by means of an experiment where two different scenarios are fed into a prototypical case-based recommender system and then matched, based on an entropically derived weighting system, with the case base that contains cases structured according to the case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
11th International Conference on Knowledge Management and Information Systems (ICEIS 2019)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
17.09.2019
Enddatum der Konferenz
19.09.2019
Datum der letzten Prüfung
ISBN
978-989-758-382-7
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
WITSCHEL, Hans Friedrich, Marco PETER, Laura SEILER, Soyhan PARLAR und Stella GATZIU GRIVAS, 2019. Case model for the RoboInnoCase recommender system for cases of digital business transformation: structuring information for a case of digital change. In: Jorge BERNARDINO, Ana SALGADO und Joaquim FILIPE (Hrsg.), ICEIS 2019. 21st International Conference on Enterprise Information Systems. Proceedings. Setúbal: SciTePress. 2019. S. 62–73. ISBN 978-989-758-382-7. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42569