Business processes modelling assistance by recommender functionalities: A first evaluation from potential users

Autor(en): Fellmann, M.
Zarvić, N.
Thomas, O. 
Herausgeber: Moller, C.
Bjorn Johansson, B.
Chaudhuri, A.
Sudzina, F.
Stichwörter: Business process modelling; Empirical evaluation; Empirical evaluations; Potential users; Process engineering; Process modelling; Process-oriented; Process-oriented information system; Prototype system; Recommender systems; Semantic modelling; Semantic modelling, Electronic commerce; Semantics; Systems engineering, Business Process
Erscheinungsdatum: 2017
Herausgeber: Springer Verlag
Journal: Lecture Notes in Business Information Processing
Volumen: 295
Startseite: 79
Seitenende: 92
Zusammenfassung: 
Recommender systems are in widespread use in many areas, the most prominent being e-commerce solutions. In this contribution, we apply recommender functionalities to business process modelling (BPM) and investigate their potential to improve process modelling. To do so, we have implemented two prototypes. With the help of the prototype systems that have been demonstrated to and used by participants at a fair, we have conducted a first evaluation from potential users. Our results indicate that increased modelling speed is the most prominent advantage according to the participants' expectation and that recommender functionalities should be complemented by collaboration features. © Springer International Publishing AG 2017.
Beschreibung: 
Conference of 16th International Conference on Perspectives in Business Informatics Research, BIR 2017 ; Conference Date: 28 August 2017 Through 30 August 2017; Conference Code:196729
ISBN: 9783319649290
ISSN: 18651348
DOI: 10.1007/978-3-319-64930-6_6
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028698253&doi=10.1007%2f978-3-319-64930-6_6&partnerID=40&md5=e433a0aa2183334378d93abe680b3ffe

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