Assessment of Cyber Risks in an IoT-based Supply Chain using a Fuzzy Decision-Making Method

Abstract

Purpose: The Internet of Things (IoT) is a relatively new paradigm that is growing rapidly in modern wireless communication scenarios. The main idea of this concept is the pervasive presence of all kinds of objects around us. This technology is the basis of today's intelligent life and is known as one of the most important sources of big data. Meanwhile, businesses are no exception to this rule and try to use the Internet of Things to make their business smarter. Supply chain management is a goal-based goal of linking business operations to provide a common view of market opportunity. Methodology: Using IoT technology, all major parts of the supply chain, including supply, production, distribution and sales, can be affected. Because this evolutionary technology is intertwined with Internet technology, the use of network-based tools can always create risks for business owners who use these technologies. Therefore, understanding and investigating a variety of cyber risks in this area can It is very important and by understanding their hands, we can prevent many future risks. Linear analysis based on hierarchical analysis is used. Findings: The results show that privacy is very important in interaction with suppliers as well as customers, and therefore those effective measures to deal with these risks can reduce many of the problems caused by this technology. Originality/Value: This paper attend to assessment of cyber risks in an IoT-based supply chain using a fuzzy decision-making method.

Authors and Affiliations

Hamed Nozari,Javid Ghahremani-Nahr,Mohammad Fallah,Agnieszka Szmelter-jarosz,

Keywords

Related Articles

The Existence of Imported Fruit in Contemporary Rituals in Pandemic

Purpose: This paper aims to describe the existence of imported fruit used by the Balinese Hindu community as a ritual tool during the pandemic. There is an assumption that imported fruit is more expensive, meaning that e...

The Effectiveness of Private-Public Partnerships in Land Delivery for Low-Income Housing Development for the City of Windhoek Namibia

Purpose: This study sought to assess the effectiveness of the City of Windhoek Public Private Partnership model for land delivery and low-income housing initiatives. To gain in-depth knowledge and understanding of the to...

Impact of the Tourism Industry Scenarios in Urban Economy: (Case Study Tabriz)

Purpose: The tourism industry, especially in its urban dimension, has a special place in the economies of countries and its effects and consequences are evident in all dimensions. Cities are considered as tourist places...

The Impact of Fintech and Artificial Intelligence on COVID 19 and Sustainable Development Goals

Purpose: The main goal of this article is reviewing the importance of Fintech and AI in achieving sustainable development goals such as education, health, equality and etc. and reducing the negative effects of COVID19. G...

Optimization of manpower allocation by considering customer relationship management criteria and uncertainty conditions in car dealerships

Purpose A mathematical mixed integer model was used in this research in order to optimize manpower allocation in car industry. The objective function of proposed model subjected to minimization of the maximum waiting tim...

Download PDF file
  • EP ID EP711398
  • DOI -
  • Views 72
  • Downloads 0

How To Cite

Hamed Nozari, Javid Ghahremani-Nahr, Mohammad Fallah, Agnieszka Szmelter-jarosz, (2022). Assessment of Cyber Risks in an IoT-based Supply Chain using a Fuzzy Decision-Making Method. International Journal of Innovation in Management, Economics and Social Sciences, 2(1), -. https://www.europub.co.uk/articles/-A-711398