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dc.contributor.authorBresciani, S.en
dc.contributor.authorFerraris, A.en
dc.contributor.authorDel Giudice, M.en
dc.date.accessioned2022-10-19T05:23:21Z-
dc.date.available2022-10-19T05:23:21Z-
dc.date.issued2018-
dc.identifier.citationBresciani S. The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects / S. Bresciani, A. Ferraris, M. Del Giudice // Technological Forecasting and Social Change. — 2018. — Vol. 136. — P. 331-338.en
dc.identifier.issn401625-
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85014833138&doi=10.1016%2fj.techfore.2017.03.002&partnerID=40&md5=3d91377a0614e2f5baa27068845472a6link
dc.identifier.urihttp://elar.urfu.ru/handle/10995/118170-
dc.description.abstractIn the last decade, the Internet of Things (IoT) has affected the approach of organizations to innovation and how they create and capture value in everyday business activities. This is compounded in the so-called Smart Cities, where the objective of the IoT is to exploit information and communication technologies (ICTs) to support added-value services for citizens, giving companies more opportunities to innovate through the use of the latest technologies. In this context, multinational enterprises (MNEs) are building alliances, starting several projects with public and private city stakeholders aimed at exploring new technologies for cities but also at exploiting new IoT-based devices and services in order to profit from them. This implies that companies need to manage and integrate different types of knowledge to efficiently and effectively support the simultaneous pressure of exploration and exploitation, at a project portfolio level. Using structural equations modeling with data collected from 43 IoT smart city project alliances in Italy, this paper tests and finds evidence that MNEs need to develop knowledge management (KM) capabilities combined with ICT capabilities if they want to obtain greater ambidexterity performance at the project portfolio level. More specifically, we highlight that KM capabilities enhance alliance ambidexterity indirectly through firms’ ICT capabilities, suggesting that MNE managers should design KM tools and develop new ICT skills. Implications for academics, managers and future lines of research are proposed. © 2017 Elsevier Inc.en
dc.description.sponsorshipHealth and Safety Executive, HSE; National Research University Higher School of Economics, ВШЭ; Government Council on Grants, Russian Federationen
dc.description.sponsorshipThe article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of the subsidy granted to the HSE by the Government of the Russian Federation for the implementation of the Global Competitiveness Program.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Inc.en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceTechnological Forecasting and Social Changeen
dc.subjectALLIANCESen
dc.subjectAMBIDEXTERITYen
dc.subjectICTen
dc.subjectINTERNET OF THINGSen
dc.subjectKNOWLEDGE MANAGEMENTen
dc.subjectSMART CITYen
dc.subjectKNOWLEDGE MANAGEMENTen
dc.subjectMANAGERSen
dc.subjectSMART CITYen
dc.subjectTECHNOLOGY TRANSFERen
dc.subjectALLIANCESen
dc.subjectAMBIDEXTERITYen
dc.subjectEXPLORATION AND EXPLOITATIONen
dc.subjectINFORMATION AND COMMUNICATION TECHNOLOGIESen
dc.subjectINTERNET OF THING (IOT)en
dc.subjectINTERNET OF THINGS (IOT)en
dc.subjectMULTINATIONAL ENTERPRISEen
dc.subjectSTRUCTURAL EQUATIONS MODELINGen
dc.subjectINTERNET OF THINGSen
dc.subjectINFORMATION AND COMMUNICATION TECHNOLOGYen
dc.subjectINTERNETen
dc.subjectKNOWLEDGEen
dc.subjectMULTINATIONAL ENTERPRISEen
dc.subjectORGANIZATIONen
dc.subjectSMART CITYen
dc.subjectITALYen
dc.titleThe management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projectsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.techfore.2017.03.002-
dc.identifier.scopus85014833138-
local.contributor.employeeBresciani, S., Department of Management, University of Torino, Corso Unione Sovietica, 218 bis, Torino, 10134, Italyen
local.contributor.employeeFerraris, A., Department of Management, University of Torino, Corso Unione Sovietica, 218 bis, Torino, 10134, Italy, Laboratory for International and Regional Economics, Graduate School of Economics and Management, Ural Federal University, Russian Federationen
local.contributor.employeeDel Giudice, M., Department of Research, University of Rome “Link Campus”, Via Nomentana, 335, Rome, 00162, Italy, National Research University, Higher School of Economics, Moscow, Russian Federationen
local.description.firstpage331-
local.description.lastpage338-
local.volume136-
dc.identifier.wos000449899100027-
local.contributor.departmentDepartment of Management, University of Torino, Corso Unione Sovietica, 218 bis, Torino, 10134, Italyen
local.contributor.departmentLaboratory for International and Regional Economics, Graduate School of Economics and Management, Ural Federal University, Russian Federationen
local.contributor.departmentDepartment of Research, University of Rome “Link Campus”, Via Nomentana, 335, Rome, 00162, Italyen
local.contributor.departmentNational Research University, Higher School of Economics, Moscow, Russian Federationen
local.identifier.pure8165892-
local.identifier.eid2-s2.0-85014833138-
local.identifier.wosWOS:000449899100027-
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