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dc.contributor.advisorStephanie L. Woerner.en_US
dc.contributor.authorThiagarajan, Darshinien_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2017-03-10T15:07:05Z
dc.date.available2017-03-10T15:07:05Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/107361
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 98-100).en_US
dc.description.abstractSmart, connected devices are becoming an integral part of our lives, bridging the communication between human-to-machine and machine-to-machine interactions. The potential socioeconomic impact of the Internet of Things (loT) in the Industrials space is forecasted to be huge. These connected devices will result in a significant increase in the overall complexity of systems. While the rate of loT adoption by Industrials is on the rise, a lot of uncertainty remains with regards to the readiness of organizations and the impact of adoption. This could be due to lack of vision from leadership, lack of resources, and also lack of capabilities required for successful adoption. The goal of this thesis is to enable organizations to position themselves well for Industrial loT adoption. This thesis analyzes the current state of Industrial loT adoption by viewing Industrial organizations adopting loT as complex systems. The research consists of an analysis and synthesis of quantitative and qualitative data from organizations around the world, of existing theory, of recent industry research along with the application of systems thinking techniques. The outcome of the thesis is a framework for successful Industrial loT adoption. The research findings reveal several significant implications for managers and leaders of Industrial organizations and the need to employ systems thinking for understanding Industrial loT organizations.en_US
dc.description.statementofresponsibilityby Darshini Thiagarajan.en_US
dc.format.extent100 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.subjectEngineering Systems Division.en_US
dc.titleAnalysis of the current state of Industrial Internet of Things (IIoT) adoptionen_US
dc.title.alternativeAnalysis of the current state of IIoT adoptionen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.identifier.oclc973334170en_US


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