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DC poleHodnotaJazyk
dc.contributor.authorPishdar, Mahsa
dc.contributor.authorGhasemzadeh, Fatemeh
dc.contributor.authorAntucheviciene, Jurgita
dc.contributor.authorSaparauskas, Jonas
dc.date.accessioned2019-02-27T11:55:52Z-
dc.date.available2019-02-27T11:55:52Z-
dc.date.issued2018
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2018, roč. 21, č. 2, s. 208-222.cs
dc.identifier.issn2336-5604 (Online)
dc.identifier.issn1212-3609 (Print)
dc.identifier.urihttp://hdl.handle.net/11025/31091
dc.format15 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rightsCC BY-NC 4.0en
dc.subjectskupinové rozhodovánícs
dc.subjectskupina DEMANTELcs
dc.subjectinternet věcícs
dc.subjectmanagement rizikcs
dc.subjectteorie hrubých množincs
dc.subjectmanagement dodavatelského řetězcecs
dc.titleInternet of things and its challenges in supply chain management: a rough strength- relation analysis methoden
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedInternet of Things application (IOT) in supply chain management is becoming imperative and can shape a strategic competitive advantage. Albeit, different challenges appear through this application, most of the previous studies consider less about these challenges and focus on the advantages of IOT. To overcome this defect, different challenges that a supply chain may face as whole are determined based on systematic literature review and expert opinions. Then, a rough group decision-making and trial evaluation laboratory (DEMATEL) is applied. Advantages of the proposed model are that both internal strength and external influence of challenges and also vagueness and ambiguity of experts’ opinions are simultaneously noticed to completely show the importance of these challenges. The results show that challenges such as lack of strategy and scenario planning in IOT, storage issues, lack of security and lack of privacy are of great importance. So, these challenges should have a higher priority in attracting attention and resources. These results help managers to be equipped to face with main challenges in their path toward IOT in their supply chains. Accordingly some practical suggestions for managers are discussed in this paper, such as starting the journey toward IOT step by step, planning for a data storage system which is appropriate for big data, setting up a security policy to prevent out-coming problems caused by lack of security and privacy inherited by IOT, conducting a privacy or security risk assessment, minimizing the data collection and retain and testing the security measures before launching the products, and establishment of a legal framework to construct a problem-solving network in such a messed up and dynamic environment for processing such complicated huge data.en
dc.subject.translatedgroup decision makingen
dc.subject.translatedgroup DEMATELen
dc.subject.translatedinternet of thingsen
dc.subject.translatedrisk managementen
dc.subject.translatedrough set theoryen
dc.subject.translatedsupply chain managementen
dc.identifier.doihttps://dx.doi.org/10.15240/tul/001/2018-2-014
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 2 (2018)
Číslo 2 (2018)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Ekonomie a management
  5. 2018
  6. Číslo 2 (2018)