Name
Abstract | ||
|---|---|---|
Various types and massive amounts of data are being collected through physical and social sensing. In many cases of data use, the results and value of data analytics are conveyed to specific beneficiaries (e.g., individuals and organizations) within a service system, such as a transportation, energy supply, or healthcare service system. Thus, data-use can be directed and improved based on considerations of the relevant service system. In this paper, we suggest that effective use of data analytics can be guided by the question, "How does data analytics contribute to the creation of a smarter service system?" To facilitate answers to this question, we define a smart service system from a data application perspective, and propose a specific approach, service-oriented data analytics, based on eight case studies related to smart service systems. We introduce an ongoing case study to demonstrate the applicability and utility of our proposals. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE 14TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | Service design,Data science,World Wide Web,Business analytics,Systems engineering,Software analytics,Web analytics,Computer science,Service system,Analytics,Business intelligence,Service delivery framework |
DocType | ISSN | Citations |
Conference | 1935-4576 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chiehyeon lim | 1 | 14 | 2.47 |
| P.P. Maglio | 2 | 324 | 36.09 |
| Kwang-Jae Kim | 3 | 256 | 25.49 |
| Min-Jun Kim | 4 | 10 | 4.76 |
| Ki-Hun Kim | 5 | 7 | 1.26 |