Paper Info
Title
Introduction To The Minitrack On Service Analytics
Abstract
The Minitrack on Service Analytics is part of the Decision Analytics, Mobile Services and Service Science Track of the 48th Annual Hawaii International Conference on System Sciences (HICSS-48) on January 5-8, 2015. Service Analytics describe all processes of capturing, processing, and analyzing data taken from a service system – in order to improve, extend, and personalize the service provided and to create new value for both the provider and the customer. The modern view on services focuses on the cocreation of value between providers and customers— leveraging knowledge, skills, and resources of both partners from an overall system point of view. In most service systems, however, the service providers have no access to data related to the service usage by their customers. On the other hand, an increasing volume of data will be collected either by the users/customers themselves (e.g. through mobile/smart phones) or by technologies like smart metering in energy services, telematics in automotive and mobility services, RFID in logistics, condition sensors usage in engineering, or data capture solutions in healthcare. Research topics addressed in this year’s minitrack and in future installations of the minitrack include the applicability of basic and advanced analytics to different service systems, the state-of-the-art of service analytics methodologies and tool-support, and the investigation of benefits resulting from the application of service analytics. This minitrack will serve as a forum for researchers and practitioners to share progress in the study of these and related themes. Submissions on, but not limited to, the following topics are encouraged: ·Web Usage Mining and Web Personalization ·Data Mining / Machine Learning applied to Services ·Recommender Systems for Services ·Social Network Analytics applied to Services ·Privacy Issues resulting from Service Analytics ·Fraud Analytics for Service Systems ·Analysis and Prediction of User Behavior in Mobile Phone Systems ·Analysis and Prediction of Driver Behavior in Traffic Situations ·Analysis and Exploitation of Floating Car Data ·Electricity Consumption Analysis using Smart Meter Data ·Analytics for Healthcare Services ·Analysis and Prediction of IT Service Demand Patterns ·Analysis of Service Problem Reports ·Industrial Service Analytics and Optimization ·Sports Analytics
Year
DOI
Venue
2018
10.24251/hicss.2018.188
PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS)
Field
DocType
Citations 
Data science,Web mining,Computer science,Service system,Knowledge management,Service provider,Mobile phone,Analytics,Telematics,Data access,Personalization
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Hansjörg Fromm1148.33
Gerhard Satzger29923.89
Setzer, Thomas302.03