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Architectures for multichannel front-office service delivery models

dc.contributor.authorSousa, Rui
dc.contributor.authorAmorim, Marlene
dc.date.accessioned2018-07-30T16:06:08Z
dc.date.available2018-07-30T16:06:08Z
dc.date.issued2018
dc.description.abstractPurpose – Multichannel (MC) service providers have been adopting a wide diversity of front-office service delivery models, i.e. different ways of employing channels to support the delivery of the service activities that involve customer interaction. Despite this, we are still faced with a paucity of concepts to understand the myriad of possible choices. The purpose of this paper is to develop a theoretical framework and basic design architectures to provide a structured understanding of the diversity of operational design choices for MC front-office service delivery models, their efficacy implications, and how they fit with the provider’s service strategy. Design/methodology/approach – The study employs the analytical conceptual approach. The authors logically develop the architectures based on the operations management theory and provide corresponding empirical illustrations based on secondary sources, direct observation, and case studies. Findings – The authors propose two theoretically meaningful dimensions to characterize and distinguish between delivery models (channel redundancy and channel span) and put forward four anchor architectures for such models: generalist, parallel, constricted, and centralized. The authors identify the operational efficacy implications (effectiveness and efficiency) of the different architectures, and develop a set of propositions and design principles for selecting appropriate architectures. Research limitations/implications – Future research should develop empirical measures for the dimensions underlying the architectures. Originality/value – The study extends existing service process classifications by capturing the MC traits of front-office processes. The authors offer design principles to assist firms in selecting architectures that are aligned with their service strategy. The framework and architectures provide seminal concepts to support a wealth of future empirical studies.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSousa, R., Amorim, M. (2018). Architectures for multichannel front-office service delivery models. International Journal of Operations & Production Management, 38(3), 828-851pt_PT
dc.identifier.doi10.1108/IJOPM-10-2015-0612pt_PT
dc.identifier.eid85043480153
dc.identifier.eissn1758-6593
dc.identifier.issn0144-3577
dc.identifier.urihttp://hdl.handle.net/10400.14/25346
dc.identifier.wos000427151900010
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherEmeraldpt_PT
dc.relationAligning service operations strategies with customer multi-channel behavior
dc.subjectService designpt_PT
dc.subjectService operationspt_PT
dc.subjectMultichannel servicespt_PT
dc.titleArchitectures for multichannel front-office service delivery modelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAligning service operations strategies with customer multi-channel behavior
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEGE-GES%2F101390%2F2008/PT
oaire.citation.endPage851pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage828pt_PT
oaire.citation.titleInternational Journal of Operations and Production Managementpt_PT
oaire.citation.volume38pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameSousa
person.familyNameAmorim
person.givenNameRui
person.givenNameMarlene
person.identifier.ciencia-id3F15-2286-9C55
person.identifier.ciencia-idCA19-8758-7772
person.identifier.orcid0000-0002-0049-1896
person.identifier.orcid0000-0002-0901-0614
person.identifier.ridM-4605-2013
person.identifier.scopus-author-id7102960038
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc4e9fe74-771a-42e9-8925-c217abcdee1f
relation.isAuthorOfPublication8636d225-1c0a-47b2-9e71-d3e07601a4ba
relation.isAuthorOfPublication.latestForDiscoveryc4e9fe74-771a-42e9-8925-c217abcdee1f
relation.isProjectOfPublicationc79f209c-ba63-459e-81c4-c00488099350
relation.isProjectOfPublication.latestForDiscoveryc79f209c-ba63-459e-81c4-c00488099350

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