Name
Abstract | ||
|---|---|---|
The main goal of the study is development of the classification framework of service attributes as a first step in developing methodology of implementation for Enterprise Information Portal (EIP) maintenance. First, we analyze available definitions of the smart services concept and concepts related to it: are based on the idea of co-creation of value and rely on machine intelligence in connected systems. Second, we describe attributes of EIP services. Finally, we propose a new extended approach of the service attributes classification based on the list of characteristics of the EIP services. Our results contribute to the field of service research as well as to EIP- related studies both for academics and practitioners, as the proposed classification framework could serve as a basis for creation of typology for the purpose of EIP maintenance. |
Year | Venue | Field |
|---|---|---|
2015 | FedCSIS Position Papers | Services computing,Data mining,Enterprise portal,Computer science,Knowledge management,Typology |
DocType | Citations | PageRank |
Conference | 2 | 0.37 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tatiana Gavrilova | 1 | 56 | 15.02 |
| Liudmila Kokoulina | 2 | 2 | 0.37 |