文献类型：期刊文献

中文题名：感性运营:大数据时代下的卓越运营方式

作者：王伊丽[1];刘淼[2]

机构：[1]上海浦东发展银行股份有限公司;[2]华东理工大学艺术设计与传媒学院工业设计系

年份：2015

卷号：34

期号：4

起止页码：86

中文期刊名：企业经济

外文期刊名：Enterprise Economy

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2014】；

基金：上海市2014年浦江人才计划"基于用户行为实证分析的引导方式研究"(批准号批准号:14PJC024)

语种：中文

中文关键词：大数据大数据;卓越运营;感性工学;感性运营

外文关键词：big data; operational excellence; Kansei engineering; Kansei operation

摘要：信息时代下所有运营活动都被数据化,它们经由挖掘、创新、重组等方式"转换"后最终实现数据真实价值,成为银行机构新的利润增长点。但若不使用任何辅助方式分析数据价值,则难以突破大数据的固有精准度缺陷,从而无法实现大数据时代的卓越运营。基于此,借鉴工业生产领域的感性工学思路,提出感性运营理念,在分析银行运营部门感性结构的基础上初步构建出银行感性运营概念模型,并提出运营生产领域应用策略,为后续通过感性方法实现卓越运营的理论及实证分析提供理论基础。
Big data is quickly becoming a critically important driver of business success across sectors, and the value of big data is not just collected, but turned into actionable insights that drive increases in revenue, efficiency, and cost savings. All operational activities will realize value -adding and open up its new profit point by data mining, innovation and reorganization in big data era. However, it would be hard to eliminate defects of big data and achieve operational excellence without some excellent methods of data - analysis. It is quite necessary for operation department of banks to find a solution satisfying the above data characteristics and achieving the new operational excellence. Through drawing lessons from Kansei engineering, which is widely used in industrial production, this thesis establishes a three- dimensional structure to describe the Kansei environment of banks, proposes the Kansei operation concept and tentatively discusses the Kansei operation model of banks.