大数据与价值实现外文文献翻译Word文件下载.docx

大数据与价值实现外文文献翻译Word文件下载.docx

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（大数据讨论：

大数据与价值实现文献综述）

作者：

WendyGunther, 

MohammadMehrizi, 

Marleen 

Huysman, 

Frans 

Feldberg

期刊：

TheJournalofStrategicInformationSystems

年份：

2017

字数：

译文4600多字

原文

Aliteraturereviewonrealizingvaluefrombigdata

Wendy 

Gunther

Mohammad 

Mehrizi

Huysman

Abstract

Bigdatahasbeenconsideredtobeabreakthroughtechnologicaldevelopmentoverrecentyears.Notwithstanding,wehaveasyetlimitedunderstandingofhoworganizationstranslateitspotentialintoactualsocialandeconomicvalue.Weconductanin-depthsystematicreviewofISliteratureonthetopicandidentifysixdebatescentraltohoworganizationsrealizevaluefrombigdata,atdifferentlevelsofanalysis.Basedonthisreview,weidentifytwosocio-technicalfeaturesofbigdatathatinfluencevaluerealization:

portabilityandinterconnectivity.Wearguethat,inpractice,organizationsneedtocontinuouslyrealignworkpractices,organizationalmodels,andstakeholderinterestsinordertoreapthebenefitsfrombigdata.Wesynthesizethefindingsbymeansofanintegratedmodel.

Keywords：

Bigdata，Analytics，Literaturereview，Valuerealization,Portability，Interconnectivity

1. 

Introduction

Bigdatahasgainedsignificantimpetusasabreakthroughtechnologicaldevelopment（Fichmanetal.,2014）inacademicandbusinesscommunities（Chenetal.,2012）.Bigdatacanbedefinedbasedonlarge 

volumes 

ofextensively 

varied 

datathataregenerated,captured,andprocessedathigh 

velocity 

（Laney,2001）.Assuch,thesedataaredifficulttoprocessusingexistingtechnologies（ConstantiouandKallinikos,2015）.Byadoptingadvancedanalyticstechnologies,organizationscanusebigdatafordevelopinginnovativeinsights,products,andservices（Davenportetal.,2012）.

Theopportunitiesarisingfrombigdataanalytics1 

fororganizationsareconsideredpivotal:

bigdatahasbeendescribedas,“themotherlodeofdisruptivechangeinanetworkedbusinessenvironment”（Baesensetal.,2014,p.629）.Byadoptingbigdatatechnologies,organizationsexpecttogainbenefitsacrossmanydomains,suchase-commerce,e-government,science,health,andsecurity（Chenetal.,2012）.Whatbenefitsorganizationsperceiveas“value”dependsontheirstrategicgoalsforadoptingandusingbigdata（Ghoshaletal.,2014）.

Inthispaper,werefertobothsocialandeconomicvalue.Socialvalueincludesimprovedsocialwellbeinginfieldssuchaseducation（Cechetal.,2015）,healthcare（RaghupathiandRaghupathi,2014）,andpublicsafetyandsecurity（NewellandMarabelli,2015）.Governments,forinstance,canusebigdatato,“enhancetransparency,increasecitizenengagementinpublicaffairs,preventfraudandcrime,improvenationalsecurity,andsupportthewellbeingofpeoplethroughbettereducationandhealthcare”（Kimetal.,2014,p.81）.Thus,socialvaluecomprisesbenefitsforsingleusersaswellaslargersocietalbenefitssuchasemploymentgrowth,productivity,andconsumersurplus（LoebbeckeandPicot,2015）.

Economicvaluecanbemeasuredbyanorganization'

sincreaseinprofit,businessgrowth,andcompetitiveadvantageresultingfrombigdataadoption（Davenport,2006;

Davis,2014;

Tyagi,2003）.Economicvalueoftencomprisesmonetarybenefitsthatareappropriatedbyorganizations.Forexample,organizationsthatrelyonbigdatatoguideorganizationalstrategiesandday-to-dayoperationsareexpectedtoperformbetterfinanciallythanorganizationsthatdonot（LaValleetal.,2011;

McAfeeandBrynjolfsson,2012）.

Ingeneral,bigdataisperceivedasasourceofinnovativeproducts,services,andbusinessopportunities.Moreover,bigdataisbelievedtoresultinmoreefficientandeffectiveoperationsby,forexample,optimizingsupplychainflows;

settingthemostprofitablepriceforproductsandservices;

selectingtherightpeopleforcertaintasksandjobs;

minimizingerrorsandqualityproblems,andimprovingcustomerrelationships.Additionally,furthereconomicandsocialvaluecanbegainedfrombigdatathroughenhanceddecisionmaking（Sharmaetal.,2014）andmoreinformedstrategizing（ConstantiouandKallinikos,2015）.

Inourstudy,weperformedareviewofISliteraturethatdiscussesorganizationalchanges,drivers,andactionsrelatedtobigdatavaluerealizationatdifferentlevelsofanalysis.Werespondtothecallforfocusingonthetensionsorganizationsfaceinrealizingvaluefrombigdata（Galliersetal.,2015）.Ourcontributionisthreefold.First,weidentifyatotalofsixdebatescentraltohoworganizationsrealizevaluefrombigdata,atthework-practice,organizational,andsupra-organizationallevels.Wecallforempiricalstudiestoshowwhen,if,andhowtheopposingpositionsofeachdebatearerelevant.Second,weidentifyp