Start Date
12-13-2015
Description
In service-oriented systems, the execution of processes can be supported by composing a variety of different services. In this context, an important research question concerns the selection of the optimal services while taking multiple users and their individual goals into account. Existing multi user service selection approaches focus on restrictions like fixed capacity restrictions of services. However, due to inter-user relations there may also be user requests that refer to other users, like for example that some users may prefer to conduct certain services together. Such Inter-User-Requests (IUR) have not been addressed in research yet. To address this issue, we propose a novel multi user service selection approach taking into account IUR. We evaluate our approach with respect to correctness and performance. In addition, we examine the practical applicability by means of a real-world example and show that considering IUR in multi user service selection can considerably enhance decision support.
Recommended Citation
Heinrich, Bernd; Klier, Mathias; Lewerenz, Lars; and Mayer, Michael, "Enhancing Decision Support in Multi User Service Selection" (2015). ICIS 2015 Proceedings. 15.
https://aisel.aisnet.org/icis2015/proceedings/DecisionAnalytics/15
Enhancing Decision Support in Multi User Service Selection
In service-oriented systems, the execution of processes can be supported by composing a variety of different services. In this context, an important research question concerns the selection of the optimal services while taking multiple users and their individual goals into account. Existing multi user service selection approaches focus on restrictions like fixed capacity restrictions of services. However, due to inter-user relations there may also be user requests that refer to other users, like for example that some users may prefer to conduct certain services together. Such Inter-User-Requests (IUR) have not been addressed in research yet. To address this issue, we propose a novel multi user service selection approach taking into account IUR. We evaluate our approach with respect to correctness and performance. In addition, we examine the practical applicability by means of a real-world example and show that considering IUR in multi user service selection can considerably enhance decision support.