Towards a Context-Aware Vertical Social Software Ecosystem
Abstract:
Advances in software and hardware technology open up new potential for context-aware vertical social software. Companies are facing the challenge to incorporate these ideas into their existing software solutions. In this paper, we propose a reference architecture for Context-Aware Vertical Social Software platforms to facilitate reuse and enable synergies across different existing and new social software applications and workflows. This architecture enables external software developers to meet the needs of improving existing products and services of companies. Moreover, we present the lessons we learned from the implementation of such a platform and two case studies in collaboration with a large industry partner.
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Authors | Adrian Hernandez-Mendez , Dr. Daniel Braun , Prof. Dr. Florian Matthes , Manfred Langen |
Citation | Hernandez-Mendez, A.; Braun, D.; Matthes, F.; Langen, M.:Towards a Context-Aware Vertical Social Software Ecosystem. To appear In: Proceedings of the 19 IEEE Conference on Business Informatics (CBI). Thessaloniki, Greece, 2017 |
Key | AHM17b |
Research project | Vertical Social Software (VSS) |
Title | Towards a Context-Aware Vertical Social Software Ecosystem |
Type of publication | Conference |
Year | 2017 |
Publication URL | http://ieeexplore.ieee.org/document/8012943/ |
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