征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

With the advent of the era of big data, how to manage the data becomes a serious problem in the business world.Many companies have large amountsof data but struggle to analyze them to get the most benefit. A recent study by Gartner Research indicates that less than five percent of e-commerce companies use big dataor predictive analytic software. Typically, only the biggest companies such asAmazon.com, China's Alibaba and Japan's Rakuten are serious about putting in the money to make this happen.Currently, most of the data is only used to identify trends and increase sales by driving morecustomers to their online stores. As such there are great opportunities for academics to analyze the data in different ways to extract information useful to companies to improve their competitive position.

With the rapid development of the Chinese economy in recent years, a large number of enterprises with extraordinary vitality have emerged such as Huawei, Alibaba, and Baidu. These enterprises have grown because they draw on the outstanding experience of foreign enterprises but at the same time they engrave deeply the characteristics of Chinese culture into the business model. To understand the success of these emerging Chinese enterprises better, we need to develop a new research perspective.

The objective of the conference is not only to promote the development of theory and technology in the field of decision sciences but also create an excellent academic platform for international scholars to exchange research ideas.

征稿信息

重要日期

2016-04-15
摘要截稿日期
2016-04-01
初稿截稿日期

征稿范围

  • Accounting

  • Asian Studies

  • Business Analytics & Big Data

  • Business Policy & Strategy

  • Cases, Workshops & Special Sessions

  • E-Commerce

  • Economics

  • Entertainment & Sports Management

  • Entrepreneurship

  • ERP & Manufacturing Management

  • Finance

  • Health Care Management

  • Hospitality Management

  • Human Resource Management

  • International Business

  • Innovative Education

  • Knowledge Management

  • Law & Ethics

  • Marketing

  • Manufacturing Management

  • MS/OR Techniques, Models & Applications

  • Negotiation

  • New Product Development & Product Mgt

  • Organization Behavior & Organization Theory

  • Quality & Productivity/Risk Management

  • Security & IT

  • Service Operations

  • Social Media

  • Statistics & Decision Analysis

  • Supply Chain Design, Integration, & Network

  • Sustainability

  • Technology & Innovation Management

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    07月24日

    2016

    07月27日

    2016

  • 04月01日 2016

    初稿截稿日期

  • 04月15日 2016

    摘要截稿日期

  • 07月27日 2016

    注册截止日期

移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询