Table Of ContentStudies in Big Data 98
Ali Emrouznejad
Vincent Charles Editors
Big Data and
Blockchain
for Service
Operations
Management
Studies in Big Data
Volume 98
SeriesEditor
JanuszKacprzyk,PolishAcademyofSciences,Warsaw,Poland
e-mail:[email protected]
Theseries“StudiesinBigData”(SBD)publishesnewdevelopmentsandadvances
in the various areas of Big Data- quickly and with a high quality. The intent is to
coverthetheory,research,development,andapplicationsofBigData,asembedded
inthefieldsofengineering,computerscience,physics,economicsandlifesciences.
The books of the series refer to the analysis and understanding of large, complex,
and/or distributed data sets generated from recent digital sources coming from
sensorsorotherphysicalinstrumentsaswellassimulations,crowdsourcing,social
networks or other internet transactions, such as emails or video click streams and
other. The series contains monographs, lecture notes and edited volumes in Big
Data spanning the areas of computational intelligence including neural networks,
evolutionary computation, soft computing, fuzzy systems, as well as artificial
intelligence, data mining, modern statistics and Operations research, as well as
self-organizing systems. Of particular value to both the contributors and the
readership are the short publication timeframe and the world-wide distribution,
whichenablebothwideandrapiddisseminationofresearchoutput.
Thebooksofthisseriesarereviewedinasingleblindpeerreviewprocess.
IndexedbySCOPUS,EICompendex,SCIMAGOandzbMATH.
AllbookspublishedintheseriesaresubmittedforconsiderationinWebofScience.
Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/11970
·
Ali Emrouznejad Vincent Charles
Editors
Big Data and Blockchain
for Service Operations
Management
Editors
AliEmrouznejad VincentCharles
SurreyBusinessSchool CenterforValueChainInnovation
TheUniversityofSurrey CENTRUMCatólicaGraduateBusiness
Guildford,UK School,PontificalCatholicUniversity
ofPeru
Lima,Peru
ISSN2197-6503 ISSN2197-6511 (electronic)
StudiesinBigData
ISBN978-3-030-87303-5 ISBN978-3-030-87304-2 (eBook)
https://doi.org/10.1007/978-3-030-87304-2
©SpringerNatureSwitzerlandAG2022
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Preface
BigDataisamajorsourceofchangeintoday’sworld.Itiswithoutdoubtasource
of immense economic and social value with the potential to impact individuals,
organisations and society alike in ways that are yet to be fully explored. On the
otherhand,Blockchainispoisedtoplaytheroleoffoundationtechnologytostore
Big Data, ensuring that the data remain trustworthy, immutable and traceable. In
this sense, then, Blockchain will make Big Data even more valuable. Altogether,
BigDataandBlockchainaretwocomplementarytechnologiesthatareexpectedto
radicallytransformthewayorganisationsarerunintheupcomingyears.
Organisationsareconstantlycollectingavarietyofdata,suchasstandardtables,
text, pictures and videos, of unprecedented sizes (millions or billions of records /
variables)andfromvarioussources,withtheaimtousesuchdatatoimprovetheir
operations/servicesandcreatecompetitiveadvantage.Thereisacollectiveassump-
tion that if organisations can learn to harness Big Data and Blockchain technolo-
gies,thentheiroperationalcapabilitieswouldbetransformed.Inthiscontext,both
academicsandpractitionersinterestedinServiceOperationscouldbenefitfromBig
DataandBlockchaintechnologytoenhanceoperationalperformance.
Thepresentbooktitled“BigDataandBlockchainforServiceOperationsManage-
ment”aimstoprovidethestate-of-the-artontheuseofBigDataandBlockchainto
improveServiceOperationsinavarietyofdomains.Alongtheoryandapplications,
the book compiles the authors’ experiences so that these may be aggregated for a
betterunderstanding.
Thebookiswellorganisedinfourteenchapters,contributedbyauthorsfromall
aroundtheglobe:Argentina,Austria,Canada,Chile,China,CzechRepublic,India,
Iran,Malaysia,Peru,Portugal,Turkey,UnitedArabEmirates,UnitedKingdomand
theUnitedStates.
The first eight chapters address the topic of big data and service operations
managementfromvariousangles.
The chapter “Characteristics and Trends in Big Data for Service Operations
Management Research: A Blend of Descriptive Statistics and Bibliometric Anal-
ysis” provides an introduction to big data for service operations management by
v
vi Preface
reviewing relevant literature and highlighting developments in research and appli-
cation. The analysis reveals patterns in scientific outputs and serves as a guide for
globalresearchtrendsinbigdataforserviceoperationsmanagement.Amongothers,
thechapteremphasisestheneedforresearchonbuildingbigdata-drivenanalytical
modelswhicharenotonlyexplainableandinterpretable,butalsodeployableinthe
Cloud.
Thechapter“StrategyFormulationandServiceOperationsintheBigDataAge:
The Essentialness of Technology, People, and Ethics” complements the chapter
“Characteristics and Trends in Big Data for Service Operations Management
Research:ABlendofDescriptiveStatisticsandBibliometricAnalysis”andexplores
thepromiseofbigdatainredefiningstrategyinserviceoperationsmanagementby
meansofinvestigatingarichrangeofbibliographicmaterial.Astheauthorsindicate,
serviceoperationsmanagementresearchinthebigdataageimpliesashiftinatten-
tion from being increasingly integrative across themes to being integrative across
multipledisciplines,requiringtheexpertiseofandtuningbetweendifferentactors
andexpertisedomains.
Thechapter“ModelingBigDataEnablersforServiceOperationsManagement”
identifiesbigdataenablersinserviceoperationsmanagementandanalysestheinter-
actions between them. The findings allow decision-makers to select the desired
enablers and drop the undesired ones in the implementation of big data initia-
tives to improve service operations management performance. The chapter makes
contributionsbyproposingtheuseofMCDM-basedhierarchicalmodelsandcausal
diagram.
The chapter “Data Architecture for Big Data Service Operations Management
(The New Vision of Data Architecture for the Future Human Society)” proposes
a platform construction for data management and control called Data Architec-
ture, which can be used in big data service operations management and provide
complicateddataapplicationswithdataprotectionintheopenInternetenvironment.
Thechapter“BigDataforEducationalServiceManagement”presentsasurvey
of the state-of-the-art applications of big data analytics in the field of educational
services.Theauthorsexplainhowbigdatacanhelpinimprovingtheoveralleducation
services,describethechallengesthatinstitutionsfacewhileimplementingbigdata-
basedsolutionsandsuggestfutureresearchavenuesonthetopic.
Thechapter“ANovelBigDataApproachforTextSupportedServiceOperations
Management”presentsthelatestadvancesinartificialintelligencefortextdataanal-
ysisandoperationsmanagement.Itprovidesthestate-of-the-artofthetextprocessing
approaches, discusses selected use-cases from the field of operations management
andhowthelatestmethodscanhelptosolvethoseproblems,andoutlinessomeideas
for further improvement of the current approaches in terms of how to effectively
analysedatainamultilingualenvironmentanddecreasememorydemands.
The chapter “Toward a Comprehensive Framework of Social Media Analytics”
proposesapracticalanalyticsframeworkforgainingmoreactionableinsightsfrom
social media content. The framework is developed based on a series of machine
learninganddataanalysisalgorithmsalongwiththerequiredETLmodules.Having
Preface vii
theabilitytogetembeddedinbigdataclusters,theproposedanalyticsenginecanbe
utilisedinanalysinglargesocialmediadatasetsthroughbigdataanalyticssolutions.
The chapter “Data Mining Approach in Repair and Service Systems of Elec-
tronicProductsUnderWarranty”providestheonlystudyintheliteratureaimedat
contributingtooperationalprocessesbyevaluating theonlytypeofproductinthe
electronic repair service sector using data mining methods relative to the type of
repair.Theresultsoftheresearchareexpectedtocontributetotheevaluationofthe
processesoffirmsoperatinginasimilarfield.
Theroleofblockchainhasbeenexpandinginrecentyearsduetoitsincreasing
applicationinvariousdomains.Thesecondpartofthebookcomprisessixchapters
thatdealwiththetopicofblockchaininthecontextofbigdataforserviceoperations
management.
The chapter “Integrative Applications of Blockchain and Contemporary Tech-
nologiesfromaBigDataPerspective”introducestheconceptofblockchainandhigh-
lightstheintegratedapplicationsofblockchain,Internet-of-Things,fogcomputing
andartificialintelligence.Itfocuseson3DPrintingbasedonblockchain,introduces
theintegrativeapplicationsofblockchainandswarmroboticsystems,aswellasit
features the composite application geotagging and blockchain. Several managerial
andpolicyimplicationsofmanagingbigdatafromaserviceoperationsperspective
arealsoproffered.
Thechapter“BlockchainforDisasterManagement”explorestheapplicationof
blockchain in disaster management to address issues related to poor coordination
among responding agencies, late disaster response and inadequate distribution of
resources. The authors offer a comprehensive blockchain framework for disaster
managementwhichincludesgovernments,residents,telecommunicationproviders,
shelter providers, food service providers, medical service providers and suppliers,
transportationprovidersandnon-governmentalrelieforganisations.
The chapter “Blockchain Production Planning in Mass Personalized Envi-
ronments” presents the tools to generate a business strategy for mass
customised/personalised production in Industry 4.0 environments. To this aim,
the authors propose an autonomous and decentralised blockchain-based system
managed fundamentally by cyber-physical systems (CPS), which allows associ-
ating the decision-making processes concerning production planning to the CPS.
The proposal is readily applicable to service operations management, given that
personalisedgoodsembodymanyfeaturessharedwithservices.
The chapter “Frontiers of Blockchain for Railways” explores blockchain-based
applications intherailwayecosystemfromaserviceoperations perspective. More
specifically,theauthorsadvanceaconceptualmodel(i.e.aspecificprovenanceframe-
work)tounderstandthecontributionofblockchaintechnologyintheIndianRailway
system.
The chapter “Blockchain Interoperability Issues in Supply Chain: Exploration
ofMassAdoptionProcedures”providesaninsightintoblockchaininteroperability
in supply chains for mass adoption. To this end, a three-step approach is applied
through conducting a literature review of blockchain technology and commonly
viii Preface
usedmethodologiesforblockchaininteroperability,analysingfourblockchainreal-
lifeusecaseapplicationsinsupplychainsthataddressinteroperabilityconcernsand
massadoption,anddiscussingtheresultsoftheanalysisbasedonthecommentsof
interviewees.
Finally, the chapter “Blockchain Technology Enablers in Physical Distribution
and Logistics Management” identifies the critical enablers for the adoption of
blockchain technology in the logistics and physical delivery sector, which it then
validatesbyexpertsforhighlightingtheirprioritisationusingananalytichierarchy
processapproach.Findingsshowthattraceabilityandtransparencywerethefactors
giventheutmostpriority;theyalsounderlinehowtheadoptionofblockchaintech-
nology will enhance the operational efficiency in the case of service operations
management.
The chapters contributed to this book should be of considerable interest and
provideourreaderswithinformativereading.
Guildford,UK AliEmrouznejad
Lima,Peru VincentCharles
February2022
Acknowledgments
Firstamongthesearethecontributingauthors—withoutthem,itwasnotpossibleto
puttogethersuchavaluablebook,andwearedeeplygratefultothemforbearingwith
our repeated requests for materials and revisions while providing the high-quality
contributions. We are also grateful to the many reviewers for their critical review
ofthechaptersandtheinsightfulcommentsandsuggestionsprovided.Thanksare
alsoduetoProfessorJanuszKacprzyk,theEditorofthisSeries,forsupportingand
encouragingustocompletethisproject.TheeditorswouldliketothankDr.Thomas
Ditzinger (SpringerSeniorEditor,InterdisciplinaryandAppliedSciences&Engi-
neering), Ms. Sylvia Schneider (Springer Project Coordinator, Production Heidel-
berg),Ms.DivyaMeiyazhagan(SpringerProductionEditor,ProjectManager),Mr.
Viju Falgon (in the Production team) for their excellent editorial and production
assistanceinproducingthisvolume.
We hope the readers will share our excitements with this important scientific
contributiontothebodyofknowledgeinBigDataandBlockchain.
AliEmrouznejad
VincentCharles
TheEditors
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