Blockchain With IoT and AI

2020 ◽  
Vol 11 (4) ◽  
pp. 13-27
Author(s):  
Pushpa Singh ◽  
Narendra Singh
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Supply Chains ◽  
Research Question ◽  
Healthcare Systems ◽  
Smart Contracts ◽  
Drug Supply ◽  
Food Supply Chains ◽  
Blockchain Technology

Blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) are remarkable emerging technologies in the coming few decades. Blockchain technology makes the application more secure and transparent, AI offers analyses the application, and IoT makes the application connected, flexible, and efficient. This paper studies the literature, formulates the research question, and summarizes the contribution of blockchain application, particularly targeting AI and IoT in agriculture and healthcare sectors. This study reveals that 20% of papers are available in agriculture and 14% available in healthcare that integrates blockchain with IoT and AI. Furthermore, the objective of the paper is to study the role of blockchain with IoT and AI in agriculture and healthcare systems in light of the literature review. The integration of blockchain with IoT and AI are playing important roles in agriculture and healthcare fields to manage food supply chains, drug supply chains, traceability of products, smart contracts, monitoring the products, connected, and intelligent prediction.

The use of Internet of Things (IoT) to improve transparency in agri-food supply chains

2021 ◽  
pp. 369-406
Author(s):  
Rounaq Nayak ◽  
Keyword(s):  
Internet Of Things ◽  
Supply Chains ◽  
Food Supply ◽  
Food System ◽  
Agricultural Practices ◽  
Food Supply Chains ◽  
Blockchain Technology ◽  
Increasing Demand ◽  
Use Of Internet ◽  
The Impact

Global food production needs to increase by approximately 70% by 2050 to ensure food security and feed the global population which is expected to reach 9.6 billion by 2050. To achieve these objectives in a sustainable manner, there is a need for modernisation and intensification of agricultural practices. There is also an increasing demand for proving sustainability within supply chains with research showing a direct correlation between transparency and consumer trust in agri-food products. This chapter starts out by detailing the impact and need for a globalised food system. It then progresses to discuss existing applications of Internet of Things (IoT) systems and the potential of future IoT systems in helping achieve these targets. The chapter also briefly touches upon the potential for combining Blockchain Technology and IoT systems in helping improve transparency and accountability within agri-food supply chains.

scholarly journals Role of Artificial Intelligence in the Internet of Things – A Review

2021 ◽  
Vol 1055 (1) ◽  
pp. 012090
Author(s):  
G Yashodha ◽  
P R Pameela Rani ◽  
A Lavanya ◽  
V Sathyavathy
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
The Internet ◽  
The Internet Of Things

AI technologies and their impact on supply chain resilience during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Information Processing ◽  
Supply Chains ◽  
Failure Modes ◽  
Stress Test ◽  
Weak Links ◽  
Content Type ◽  
Supply Chain Resilience

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

scholarly journals Is the quest to eat healthy a route to enhancing consumer’s food security?

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
William A. Kerr ◽  
Jill E. Hobbs
Keyword(s):  
Food Security ◽  
Supply Chains ◽  
Food Supply ◽  
Food Markets ◽  
Individual Level ◽  
Food Supply Chains ◽  
Multiple Dimensions ◽  
Private Standards ◽  
Regulatory Failure

Abstract Background On an individual level, food security has multiple dimensions and consumers exhibit heterogeneity in the extent to which different attributes matter in their quest for enhanced food security. The aim of this paper is to explain how the quest for individual food security arises and its dynamic nature and its implications for how food security-enhancing attributes are defined and how they are signaled, and for the role of regulators and food supply chains in establishing credible signals. Results The paper finds that the quest for enhanced individual food security is a dynamic process that responds to the disequilibrium that change brings. The changing role of standards and grades as signals in food markets is discussed as a precursor to considering the implications for both market and non-market (regulatory) failure in determining the appropriate role for the public sector in regulating food safety and quality standards and labeling. The rise of private standards is examined, along with a consideration of how these standards differ in terms of scope and objective and their implications for international trade in increasingly globalized food supply chains. Conclusions Despite the growth of private standards, a clear role remains for mandatory public standards, yet challenges arise when these standards differ across countries.

scholarly journals Investigating Market and Regulatory Forces Shaping Artificial Intelligence Adoptions

10.28945/4644 ◽  
2020 ◽  
Vol 4 ◽  
pp. 177-192
Author(s):  
Chrissann R. Ruehle
Keyword(s):  
Artificial Intelligence ◽  
Research Question ◽  
Large Firms ◽  
High Performing ◽  
Key Stakeholders ◽  
The Media ◽  
Management Capabilities ◽  
Collection And Management ◽  
Future Growth

The Artificial Intelligence (AI) industry has experienced tremendous growth in recent years. Consequently, there has been considerable hype, interest, and even misinformation in the media regarding this emergent technology. Practitioners and academics alike are interested in learning how this market functions in order to make evidence-based decisions regarding its adoption. The purpose of this manuscript is to perform a systematic examination of the current market dynamics as well as identify future growth opportunities for the benefit of incumbents in addition to firms seeking to enter the AI market. The primary research question is: how do market and governmental forces reportedly shape AI adoptions? Drawing on predominantly practitioner focused literature, along with several seminal academic sources, the article begins by examining and mapping stakeholders in the market. This approach allows for the identification and analysis of key stakeholders. Semiconductor and cloud computing firms play a substantive role in the AI adoption ecosystem as they wield substantial power as revealed in this analysis. Subsequently, the TOE framework, which includes the technology, organization and environmental contexts, is applied in order to understand the role of these forces in shaping the AI market. This analysis demonstrates that large firms have a significant competitive advantage due to their extensive data collection and management capabilities in addition to attracting data scientists and high performing analytics professionals. Large firms are actively acquiring small and medium sized AI businesses in order to expand their offerings, particularly in dynamic emerging fields such as facial recognition technology and deep learning.

scholarly journals Digital Transformation, AI Applications and IoTs in Blockchain Managing Commerce Secrets: And Cybersecurity Risk Solutions in the Era of Industry 4.0 and Further

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 453-465
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Le Thi Thanh Huong ◽  
Ta Van Thanh ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Security ◽  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Transformation ◽  
High Data ◽  
Blockchain Technology ◽  
Inductive Methods ◽  
As Relationship

Once again in this study, we emphasizes strongly on applications of mathematical solutions for industrial uses. By using qualitative analysis, synthesis and inductive methods, together with statistic data, our paper target is to analyze aspects of SWOT analysis on blockchain technology and its opportunities for various industries and sectors in emerging markets such as Vietnam. This is based on the original foundation theory indicating that blockchain tech functioned as a mathematical solutions that can be applied for solving commerce secrets, with high data security and can be used for intellectual property. Among our research results is findings on the connection between IoTs - Internet of Things and blockchain tech, as well as relationship between AI - Artificial intelligence and blockchain tech. Last but not least authors propose cybersecurity risk solutions and there are policies implications attached.

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