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dc.contributor.authorLokshina, Izabella V.
dc.contributor.authorLanting, Cees J. M.
dc.contributor.authorDurkin, Barbara J.
dc.date.accessioned2022-04-01T19:57:17Z
dc.date.available2022-04-01T19:57:17Z
dc.date.issued2018
dc.identifier.citationLokshina, Izabella V.,et al. "IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities." International Journal of Social Ecology and Sustainable Development (9)3, 2018: pp.34-52.en_US
dc.identifier.doi10.4018/IJSESD.2018070103
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7146
dc.descriptionIGI Global's Fair Use Policy - For Subscription-Based Publications IGI GLOBAL AUTHORS, UNDER FAIR USE CAN: Post the final typeset PDF (which includes the title page, table of contents and other front materials, and the copyright statement) of their chapter or article (NOT THE ENTIRE BOOK OR JOURNAL ISSUE), on the author or editor's secure personal website and/or their university repository site. (from https://www.igi-global.com/about/rights-permissions/content-reuse/ on 3/3/2022)en_US
dc.description.abstractThis article describes ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, now cut across every area of modern day living, affecting individuals and businesses and offering the ability to obtain and measure environmental indicators. Proliferation of these devices in a communicating-actuating network creates an Internet of Things (IoT). The IoT provides the tools to establish a major, global data-driven ecosystem that also enables Big Data techniques to be used. New business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, a first, knowledge-based management practices, business models, strategic implications and business opportunities for third-party data analysis services.en_US
dc.language.isoen_USen_US
dc.publisherIGI Globalen_US
dc.subjectBig dataen_US
dc.subjectBusiness modelsen_US
dc.subjectData analysis servicesen_US
dc.subjectInternet of Thingsen_US
dc.subjectKnowledge-based management practicesen_US
dc.subjectOpportunitiesen_US
dc.subjectSmall and medium enterprisesen_US
dc.subjectSmall businessen_US
dc.subjectStrategic implicationsen_US
dc.titleIoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunitiesen_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleInternational Journal of Social Ecology and Sustainable Developmenten_US
dc.description.versionVoRen_US
refterms.dateFOA2022-04-01T19:57:18Z
dc.description.institutionSUNY Oneontaen_US
dc.description.departmentBusinessen_US
dc.description.degreelevelN/Aen_US


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