基于大数据的对标管理:数据采集与分析方法  

Benchmarking Management Based on Big Data:Data Collection and Analysis Methods

作　　者：尚珊珊[1,2] 尤筱玥 SHANG Shanshan;YOU Xiaoyue(School of Business and Management,Shanghai International Studies University,Shanghai 200083,China;Sino-German College of Applied Sciences,Tongji University,Shanghai 201804,China)

机构地区：[1]上海外国语大学国际工商管理学院,上海200083 [2]同济大学中德工程学院,上海201804

出　　处：《上海管理科学》2021年第5期26-30,共5页Shanghai Management Science

摘　　要：回顾对标管理的相关文献,发现该领域在模型及方法应用上已具备一定成熟度,而互联网和大数据的发展及结合能够进一步提升对标管理的研究深度和实用性。本文在结合大数据管理的前提下,提出了“关键主题—关键文本”的对标管理分析流程,利用大数据文本分析技术进行数据采集与分析,并以A、B集团为例验证了该方法的可行性与可靠性,为传统对标分析和管理提供了新的研究思路。Reviewing the relevant knowledge of benchmarking management,it is found that models and methods in this field have been studied in certain maturity.By integrating the Internet and big data technology,the research depth on benchmarking management and its implementation could be further enhanced.Therefore,this paper proposes a big-data-based“key topic—key article”analysis process for benchmarking management,that utilizes a big data text analysis technology to collect and analyze the data.A case study on Group A and Group B indicates that the proposed approach owns its feasibility and reliability.It provides a new research idea for traditional benchmarking analysis and management.

关 键 词：对标管理 大数据 情感分析 分析方法 

分 类 号：F062.5[经济管理—政治经济学]