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Interpretive Structural Modeling of GIoT enablers

Interpretive Structural Modeling of GIoT enablers

Pooja Gupta, Vijay Kumar Jain
Copyright: © 2020 |Volume: 13 |Issue: 2 |Pages: 12
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781799805465|DOI: 10.4018/JITR.2020040108
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MLA

Gupta, Pooja, and Vijay Kumar Jain. "Interpretive Structural Modeling of GIoT enablers." JITR vol.13, no.2 2020: pp.129-140. http://doi.org/10.4018/JITR.2020040108

APA

Gupta, P. & Jain, V. K. (2020). Interpretive Structural Modeling of GIoT enablers. Journal of Information Technology Research (JITR), 13(2), 129-140. http://doi.org/10.4018/JITR.2020040108

Chicago

Gupta, Pooja, and Vijay Kumar Jain. "Interpretive Structural Modeling of GIoT enablers," Journal of Information Technology Research (JITR) 13, no.2: 129-140. http://doi.org/10.4018/JITR.2020040108

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Abstract

Recent emerging developments and enthusiastic adoption of technology are leading towards a smarter world but have also led to an increase in carbon traces. The Green Internet of Things (G-IoT) has been widely promoted as a strategy to make environment greener, safer and more sustainable. The authors investigate and discuss different enabling technologies (smart objects, ICT, Cloud Computing, etc.) that can be cleverly deployed to attain G-IoT. This research article is an effort to build a structural model of different enablers, vital to implement G-IoT. An array of enablers of G-IoT accomplishment has been recognized from literature review and experts' opinions. After a number of brainstorming sessions, contextual relationships have been identified among these enablers. In addition to this, enablers have been categorized based upon the driving power and dependence. Further, a structural model of G-IoT enablers has also been developed by means of Interpretive Structural Modeling (ISM) procedure. A total of nine enablers have been acknowledged from the literature and experts' opinions.

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