We are entering the era of Big Data which brings new opportunities and challenges to design and optimize business services. More and more companies are increasingly turning to Big Data for insight to support their decisions and provide targeted service to enhance user satisfaction. Big Data by itself, regardless of the size, type, or accumulation speed, is worthless unless business analytics are employed by managers to deliver value to their organizations. The aim of data-driven business services is to employ big data to uncover the hidden service patterns, the unknown correlations, personalized customer preferences and other useful business information in various service fields. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits.
This workshop encourages submission of innovative technologies, methodologies, and theories in data-driven business services, which can facilitate and/or provide insights on the practices, challenges, and solutions of data-based service computing and optimization. We welcome studies taking various quantitative methods, such as algorithm, econometrics, analytical modeling, simulation, etc.
Topics of interest include, but are not limited to:
Abstract Submission Deadline : July 31, 2018
Paper Submission Deadline: August 13, 2018
Author Notification : September 14, 2018
Camera Ready Version : October 1, 2018
Workshop : November 12, 2018
Each paper will be reviewed by at least two members of the international program committee for ensuring high quality.
Paper acceptance will be based on originality, significance, technical soundness, and clarity of presentation. All accepted papers will be included in the workshop proceedings published as part of the Lecture Notes in Computer Science (LNCS) series of Springer.
At least one author of an accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions and procedure of the main ICSOC conference to be found on their website: http://www.icsoc.org/
Please submit your papers at the EasyChair Submission Link.
Yezheng Liu, Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, Anhui 230009, China, email@example.com
Yuanchun Jiang, School of Management, Hefei University of Technology, Hefei, Anhui 230009, China, firstname.lastname@example.org
Jennifer Shang, The Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA 15260, USA, email@example.com
Wei Xu, Renmin University of China, China
Xiaoliang Fan, Xiamen University, China
Ziqiong Zhang, Harbin Institute of Technology, China
Xusen Cheng, University of International Business and Economics, China
Jianshan Sun, Hefei University of Technology, China
Shuai Ding, Hefei University of Technology, China
Lei Li, Hefei University of Technology, China
Wei Gu, University of Science and Technology Beijing, China
Keming Yu, Brunel University London, United Kingdom
Xi Liu, Brunel University London, United Kingdom
Kui Yu, University of South Australia, Australia
Ming Liu, Nanjing University of Science and Technology, China