IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities
dc.contributor.author | Lokshina, Izabella V. | |
dc.contributor.author | Lanting, Cees J. M. | |
dc.contributor.author | Durkin, Barbara J. | |
dc.date.accessioned | 2022-04-01T19:57:17Z | |
dc.date.available | 2022-04-01T19:57:17Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Lokshina, 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.doi | 10.4018/IJSESD.2018070103 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12648/7146 | |
dc.description | IGI 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.abstract | This 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.iso | en_US | en_US |
dc.publisher | IGI Global | en_US |
dc.subject | Big data | en_US |
dc.subject | Business models | en_US |
dc.subject | Data analysis services | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | Knowledge-based management practices | en_US |
dc.subject | Opportunities | en_US |
dc.subject | Small and medium enterprises | en_US |
dc.subject | Small business | en_US |
dc.subject | Strategic implications | en_US |
dc.title | IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities | en_US |
dc.type | Article/Review | en_US |
dc.source.journaltitle | International Journal of Social Ecology and Sustainable Development | en_US |
dc.description.version | VoR | en_US |
refterms.dateFOA | 2022-04-01T19:57:18Z | |
dc.description.institution | SUNY Oneonta | en_US |
dc.description.department | Business | en_US |
dc.description.degreelevel | N/A | en_US |