计算机科学 ›› 2018, Vol. 45 ›› Issue (9): 38-45.doi: 10.11896/j.issn.1002-137X.2018.09.005

• 综述 • 上一篇    下一篇

数据科学在国内管理学研究中的应用综述

李志国1,2, 钟将3   

  1. 重庆工商大学长江上游经济研究中心 重庆4000671
    重庆工商大学管理学院 重庆4000672
    重庆大学计算机学院 重庆4000443
  • 收稿日期:2018-03-12 出版日期:2018-09-20 发布日期:2018-10-10
  • 通讯作者: 李志国(1977-),男,博士,高级工程师,主要研究方向为数据科学、战略管理、精准招商、区块链等,E-mail:lizhiguo@ctbu.edu.cn
  • 作者简介:钟 将(1974-),男,教授,博士生导师,主要研究方向为数据挖掘、可信计算机系统、服务计算。
  • 基金资助:
    本文受长江经济带绿色低碳可持续发展研究项目(950617005),国家重点研发计划(2017YFB1402400)资助。

Application of Data Science in Management Science Study:State-of-the-art in Domestic

LI Zhi-guo1,2, ZHONG Jiang3   

  1. Research Center for Economy of Upper Reaches of Yangtse River,Chongqing Technology and Business University,Chongqing 400067,China1
    School of Management,Chongqing Technology and Business University,Chongqing 400067,China2
    College of Computer Science,Chongqing University,Chongqing 400044,China3
  • Received:2018-03-12 Online:2018-09-20 Published:2018-10-10

摘要: 基于大数据时代的新学科——数据科学的研究方法正在被包括管理学在内的其他学科应用。首先,探讨了以大数据为理论基础的数据科学研究范式与管理学研究的经典范式之间的联系和区别。其次,分析了国家自然科学基金委认定的A类重要管理学期刊文献及引证文献,对当前国内管理学领域为数不多的基于数据驱动的公共管理、基于复杂网络仿真的网络行为管理和基于多源数据融合的创新管理等热点领域进行了分类梳理。然后,归纳总结了当前国内管理学领域采用数据科学研究方法的特征。最后,提出了数据科学在管理学科学研究应用中的趋势,即范式融合、大数据利用、场景融合、专家合作。

关键词: 大数据, 管理学, 数据科学, 数据驱动

Abstract: As a new discipline,data science which is based on the era of big data isapplied to other disciplines including management.Firstly,the connections and differences between the scientific research paradigm based on data science and the classical paradigm of management research were proposed.Secondly,the relative literatures and citation literatures in the major Management Journal of A-class identified by the National Natural Science Foundation of China were identified,and the current management research hotspots like data-driven based public management,network behavior mana-gement based on complex network simulation and innovation management based on multisource data fusion were classified and summarized.And then,the characteristics of data science used in current management field were summarized.Finally,the trend of the application of data science in management science research was proposed,that is paradigm fusion,big data utilization,scene fusion and expert cooperation.

Key words: Big data, Data science, Data-driven, Management science

中图分类号: 

  • G304
[1]HEY T,TANSLEY S,TOLLE K.The Fourth Paradigm:Data-intensive Scientific Discovery[M].Microsoft Research,2009.
[2]DONG C Y,XUE Y H.Critical Discussion on Data-intensive,Big Data &The Fourth Paradigm[J].Studies In Dialectics of Nature,2017,33(5):74-80,86.(in Chinese)
董春雨,薛永红.数据密集型、大数据与“第四范式”[J].自然辩证法研究,2017,33(5):74-80,86.
[3]CHAO L M,XING C Y,ZHANG Y.Data Science Studies:
State-of-the-art and Trends[J].Computer Science,2018,45(1):1-13.(in Chinese)
朝乐门,邢春晓,张勇.数据科学研究的现状与趋势[J].计算机科学,2018,45(1):1-13.
[4]DAVENPORT T H,PATIL D J.Data scientist:the sexiest job of the 21st century[J].Harvard Business Review,2012,90(10):70-76.
[5]AL-JARRAH O Y,YOO P D,MUHAIDAT S,et al.Efficient
Machine Learning for Big Dat [J].Big Data Research,2015,2(3):87-93.
[6]MCAFEE A,BRYNJOLFSSON E.Big Data:The Management
Revolution[J].Harvard Business Review,2012,90(10):60-68,128.
[7]LI G J,CHENG X Q.Research Status and Scientific Thinking of Big Data[J].Bulletin of the Chinese Academy of Sciences,2012,27(6):647-657.(in Chinese)
李国杰,程学旗.大数据研究:未来科技及经济社会发展的重大战略领域——大数据的研究现状与科学思考[J].中国科学院院刊,2012,27(6):647-657.
[8]POPPER K R.Conjectures and Refutations:The Growth of Scientific Knowledge[J].Economica,1962,15(61).
[9]KUHN T S.The Structure of Scientific Revolutions(Second Edition)[J].Clio,1970(7):554-555.
[10]KUHN T S.In The Structure of Scientific Revolutions[J].
American Journal of Physics,1970,II(7):14-16.
[11]RUE L W,BYARS L L.管理学技能与应用(第11版)[M].北京:北京大学出版社,2005.
[12]周三多.管理学——原理与方法(第5版)[M].上海:复旦大学出版社,2009.
[13]WU J X,YU Y D.Discussion on the methodology of case study in management research[J].Studies in Science of Science,2004,22(z1):105-111.(in Chinese)
吴金希,于永达.浅议管理学中的案例研究方法——特点、方法设计与有效性讨论[J].科学学研究,2004,22(z1):105-111.
[14]吴鹏森,房列曙.人文社会科学基础(第2版)[M].上海:上海人民出版社,2008.
[15]SCHUTT R,O’NEIL C.Doing Data Science:Straight Talk
from the Frontline[M].O’Reilly Media,Inc.,2013.
[16]MORAES R M D,LÓPEZ L M.Computational Intelligence Applications for Data Science[J].Knowledge-Based Systems,2015,87(6):1-2.
[17]MATTMANN C A.A vision for data science[J].Nature,2013,493(7433):473-475.
[18]WEI J R,JIANG P.The Statistical Connotation of Data Science[J].Statistical Research,2014,31(5):3-9.(in Chinese)
魏瑾瑞,蒋萍.数据科学的统计学内涵[J].统计研究,2014,31(5):3-9.
[19]CHEN H,CHIANG R H L,STOREY V C.Business intelli-gence and analytics:from big data to big impact[J].Mis Quarterly,2012,36(4):1165-1188.
[20]XING Y K,MA S P.A Survey on Statistical Language Models[J].Computer Science,2003,30(9):22-26.(in Chinese)
邢永康,马少平.统计语言模型综述[J].计算机科学,2003,30(9):22-26.
[21]ANDERSON C.The End of Theory:The Data Deluge Makes Scientific Method Obsolete[J].Wird Magazine,2008,16:7-8.
[22]XU K N,CHEN F L,LIU X Y.The Truth of China Economic Growth:Evidence from Global Night-time Light Data[J].Economic Research Journal,2015(9):17-29.(in Chinese)
徐康宁,陈丰龙,刘修岩.中国经济增长的真实性:基于全球夜间灯光数据的检验[J].经济研究,2015(9):17-29.
[23]PAN J H,HU Y X.Spatial Identification of Multidimensional Poverty in China Based on Nighttime Light Remote Sensing Data[J].Economic Geography,2016,36(11):124-131.(in Chinese)
潘竟虎,胡艳兴.基于夜间灯光数据的中国多维贫困空间识别[J].经济地理,2016,36(11):124-131.
[24]ZHANG C P,LIN T.Habitat Simulation:Integration of Poverty Population-centric Big Datain Targeted Poverty Alleviation[J].Journal of Public Management,2017(3):124-134.(in Chinese)
章昌平,林涛.“生境”仿真:以贫困人口为中心的大数据关联整合与精准扶贫[J].公共管理学报,2017(3):124-134.
[25]WANG L,XU L,WANG X.The Coupling Analysis and its
Mechanism Innovation of China’s Accurate Poverty-relief Ope-ration Mechanism in the Context of Big Data-Taking Guizhou and Gansu as Examples[J].Journal of Public Management,2017(3):135-143.(in Chinese)
汪磊,许鹿,汪霞.大数据驱动下精准扶贫运行机制的耦合性分析及其机制创新——基于贵州、甘肃的案例[J].公共管理学报,2017(3):135-143.
[26]LUO J H.Big data construction and problem analysis of disaster management in Western China[J].Management World,2015(4):176-177.(in Chinese)
罗江华.西部地区灾害管理的大数据建设与问题探析[J].管理世界,2015(4):176-177.
[27]PANG S L.The algorithms of emergency classification,decomposition and sorting for processing a catastrophe risk of large data and its applications[J].Systems Engineering-Theory &Practice,2015,35(3):743-750.(in Chinese)
庞素琳.巨灾风险大数据处理应急分类、分解、分拣算法与应用[J].系统工程理论与实践,2015,35(3):743-750.
[28]吴友富,万岩,范静,等.大数据时代健康信息隐私管理的政府行为研究[J].管理世界,2017(1):174-175.
[29]XU M,SHEN J,YU H Y.A Review on Data-driven Healthcare Decision-making Support[J].Industrial Engineering and Management,2017,22(1):1-13.(in Chinese)
徐曼,沈江,余海燕.数据驱动的医疗与健康决策支持研究综述[J].工业工程与管理,2017,22(1):1-13.
[30]GUO D H,CUI W J,GUO Y C,et al.Foodborne disease event detection and risk assessment based on big-data[J].Systems Engineering-Theory & Practice,2015,35(10):2523-2530.(in Chinese)
郭旦怀,崔文娟,郭云昌,等.基于大数据的食源性疾病事件探测与风险评估[J].系统工程理论与实践,2015,35(10):2523-2530.
[31]RAN X B,LIU Y W,JIANG J H.Big Data Analysis of the Active Behavior in Social Network:The Perspective of Network Externality[J].Ma-nagement Sciences in China,2017,30(5):77-86.(in Chinese)
冉晓斌,刘跃文,姜锦虎.社交网络活跃行为的大数据分析:网络外部性的视角[J].管理科学,2017,30(5):77-86.
[32]ZHANG F,WU B,WANG B,et al.Decision offset based on dynamics opinion model[J].Systems Engineering-Theory & Practice,2014,34(S1):172-178.(in Chinese)
张峰,吴斌,王柏,等.基于决策偏移的舆论演化动力学模型[J].系统工程理论与实践,2014,34(S1):172-178.
[33]SUNY,LV B F,CHEN H,et al.Measurement and application of inflation expectations from the perspective of big data[J].Ma-nagement World,2014(4):171-172.(in Chinese)
孙毅,吕本富,陈航,等.大数据视角的通胀预期测度与应用研究[J].管理世界,2014(4):171-172.
[34]XU Y M,GAO Y M.Construction of the Public Opinion Index of CPI based on the Internet Big Data[J].The Journal of Quantitative & Technical Economics,2017(1):94-112.(in Chinese)
徐映梅,高一铭.基于互联网大数据的CPI舆情指数构建与应用——以百度指数为例[J].数量经济技术经济研究,2017(1):94-112.
[35]MI Z C,LI Y.Capture-Removal Model Sampling Estimation
Based on SNS-oriented Big Data[J].Application of Statistics and Management,2016,35(3):424-434.(in Chinese)
米子川,李毅.面向SNS大数据的捕获移出模型抽样估计[J].数理统计与管理,2016,35(3):424-434.
[36]ZHU H D,ZHANG R,WANG X F,et al.Research on the
Methodology of Technology Innovation Management with Big Data[J].Science of Science and Management of S.& T.,2013,34(4):172-180.(in Chinese)
朱东华,张嶷,汪雪锋,等.大数据环境下技术创新管理方法研究[J].科学学与科学技术管理,2013,34(4):172-180.
[37]ZHOU X,HUANG L,MA T T.A research on the technology innovation pathway identification model from the perspective of big data[J].Science Research Management,2017,V38(10):1-9.(in Chinese)
周潇,黄璐,马婷婷.大数据视角下的技术创新路径识别研究[J].科研管理,2017,V38(10):1-9.
[38]HU X J,ZHANG Y N.A comparative study on the characteristics of technological diversity in patents between Chinese universities and American universities[J].Science Research Management,2017,38(11):75-81.(in Chinese)
胡小君,张誉宁.中美高校创新群体技术多样性特征比较研究[J].科研管理,2017,38(11):75-81.
[39]GUO F,ZOU B,GUO J Y,et al.Research on the Mechanism of Firm Behavior Effect on Innovation Capability and Firm Performance in the Context of Big Data[J].Science of Science and Management of S.& T.,2017,38(4):126-136.(in Chinese)
郭峰,邹波,郭津毓,等.大数据环境下企业行为对创新能力与企业绩效的作用机理研究[J].科学学与科学技术管理,2017,38(4):126-136.
[40]LI T Z,MA J,FENG W.The relay innovation in the information technology industry:a multiple case study[J].Studies in Science of Science,2014,32(3):447-453.(in Chinese)
李天柱,马佳,冯薇.信息产业的接力创新:一个多案例研究[J].科学学研究,2014,32(3):447-453.
[41]JIN X T,WANG T X,YANG X.Research on the Construction of Linkage-type Database Marketing Model in Big Data Area A Case into FAW[J].China Industrial Economy,2013(6):122-134.(in Chinese)
金晓彤,王天新,杨潇.大数据时代的联动式数据库营销模式构建——基于“一汽大众”的案例研究[J].中国工业经济,2013(6):122-134.
[42]TIAN Q,WANG S Y,E E J,et al.Design,implementation and practice of big data and business intelligence system for retail industry[J].Systems Engineering—Theory & Practice,2017,37(5):1282-1293.(in Chinese)
田歆,汪寿阳,鄂尔江,等.零售大数据与商业智能系统的设计、实现与应用[J].系统工程理论与实践,2017,37(5):1282-1293.
[43]XU H.Performance Improvement and Management Model Innovation of Public Sector Personnel Based on Big Data[J].China Soft Science,2017(1):50-58.(in Chinese)
徐辉.基于大数据的公共部门人员绩效提升与管理模式创新[J].中国软科学,2017(1):50-58.
[44]MOU G,YUAN X Z.Empirical study for enterprise internal
credit rating under big data framework[J].Journal of Systems Engineering,2016,31(6):808-815,849.(in Chinese)
牟刚,袁先智.大数据架构下企业内部信用评级的实证研究[J].系统工程学报,2016,31(6):808-815,849.
[45]QING X Z,LI J Y.Abnormal Account Monitoring Method for Bank Loans using Big Data Samples[J].Systems Engineering Theory Methodology Applications,2016,25(4):677-682.(in Chinese)
秦学志,李静一.基于大数据样本的银行异常账户监测方法[J].系统管理学报,2016,25(4):677-682.
[46]ZHENG D Q,HUANG L H,ZHANG C H,et al.Concept and Reference Architecture of Big Data Governance[J].R&DMa-nagement,2017,29(4):65-72.(in Chinese)
郑大庆,黄丽华,张成洪,等.大数据治理的概念及其参考架构[J].研究与发展管理,2017,29(4):65-72.
[47]JIANG Y S,ZHANG H Y,JIA J,et al.Research on behavior
oriented advertising(OBA) and consumer privacy concerns under the background of big data[J].Mangement World,2015(8):182-183.(in Chinese)
蒋玉石,张红宇,贾佳,等.大数据背景下行为定向广告(OBA)与消费者隐私关注问题的研究[J].管理世界,2015(8):182-183.
[48]YANG Q,WU G N,WANG L Z.Big data:A new perspective of the engineering project management driven by data[J].Systems Engineering—Theory & Practice,2017,37(3):710-719.(in Chinese)
杨青,武高宁,王丽珍.大数据:数据驱动下的工程项目管理新视角[J].系统工程理论与实践,2017,37(3):710-719.
[49]WANG H W,ZHU S T,CAI H B.Study on the Shareholders’ Behaviors in Listed Companies Based on Decision Tree Methods[J].Application of Statistics and Management,2017,36(1):139-150.(in Chinese)
王红武,朱绍涛,蔡海博.基于决策树算法的上市公司股东行为研究[J].数理统计与管理,2017,36(1):139-150.
[50]SHEN Y,XU G H,WANG Z Y.Information disclosure of corporate social responsibility consistent with words and deeds-- evolution framework in big data environment[J].Accounting Research,2014(9):29-36.(in Chinese)
沈弋,徐光华,王正艳.“言行一致”的企业社会责任信息披露——大数据环境下的演化框架[J].会计研究,2014(9):29-36.
[51]HU X F,ZHANG Y,LI R J,et al.Capability evaluating problem
of networking SoS[J].Systems Engineering—Theory & Practice,2015,35(5):1317-1323.(in Chinese)
胡晓峰,张昱,李仁见,等.网络化体系能力评估问题[J].系统工程理论与实践,2015,35(5):1317-1323.
[52]MENG X F,CI X.Big Data Management:Concepts,Techniques and Challenges[J].Journal of Computer Research and Development,2013,50(1):146-169.(in Chinese)
孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169.
[53]LI R,SU C,JIA J,et al.Analysis of Development Status of
World Artificial Intelligence Based on Scientific Measurement[J].Computer Science,2017,44(12):183-187.(in Chinese)
李悦,苏成,贾佳,等.基于科学计量的世界人工智能领域发展状况分析[J].计算机科学,2017,44(12):183-187.
[54]COOK S,CONRAD C,FOWLKES A L,et al.Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A(H1N1) Pandemic[J].Plos One,2011,6(8):e23610.
[55]HENDERSON J V,STOREYGARD A,WEIL D N.Measuring Economic Growth from Outer Space [J].American Economic Review,2012,102(2):994-1028.
[56]STROGATZ S H,STROGATZ S H.Exploring Complex Networks [J].Nature,2001,410(6825):268-276.
[57]JEONG H,TOMBOR B,ALBERT R,et al.The large-scale organization of metabolic networks[J].Nature,2000,407(6804):651-654.
[58]ZENG R X,WANG L,DU H T.Research of Knowledge Network and Structure of Big Data Research from the Perspective of Knowledge Management[J].Journal of The China Society for Scientific and Technical Information,2016,35(11):1173-1184.(in Chinese)
曾润喜,王琳,杜洪涛.基于知识管理视角的大数据研究网络与结构研究[J].情报学报,2016,35(11):1173-1184.
[59]LI Z G,FENG Y,ZHONG J,et al.Distributed Knowledge Ma-nagement Model Based on Super-P2P[J].Computer Science,2007,34(7):184-186.(in Chinese)
李志国,冯永,钟将,等.基于Super—P2P的分布式知识管理模型[J].计算机科学,2007,34(7):184-186.
[60]NOV O.What motivates Wikipedians?[J].Communications of the Acm,2007,50(11):60-64.
[61]FENG Z Y,GUO X H,ZENG D J,et al.On the research frontiers of business management in the context of Big Data[J].Journal of Management Sciences in China,2013,16(1):1-9.(in Chinese)
冯芷艳,郭迅华,曾大军,等.大数据背景下商务管理研究若干前沿课题[J].管理科学学报,2013,16(1):1-9.
[62]XU Z B,FENG Z Y,GUO X H,et al.Big-data driven management and decision-making Frontiers[J].Management World,2014(11):158-163.(in Chinese)
徐宗本,冯芷艳,郭迅华,等.大数据驱动的管理与决策前沿课题[J].管理世界,2014(11):158-163.
[63]FAN J,FANG H,HAN L.Challenges of Big Data analysis[J].National Science Review,2014,1(2):293-314.
[64]FRANKEL F,REID R.Big Data:Distilling meaning from data[J].Nature,2008,455(7209):30.
[65]STAFFS.Dealing with data Challenges and opportunities Intro-duction[J].Science,2011,331(6018):692.
[66]JIANG Q,FU Y,LI W S,et al.Research on Predicate-Based Sampling Technology of Big Data[J].Journal of Chongqing Institute of Technology,2017,31(8):120-124.(in Chinses)
姜群,傅瑜,李文生,等.基于谓词的大数据抽样技术研究[J].重庆理工大学学报,2017,31(8):120-124.
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数据科学平台:特征、技术及趋势
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基于表示学习的在线学习交互质量评价方法
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基于区块链的大数据交易关键技术与发展趋势
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数据产品流通的两阶段授权模式
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