How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

Big data and Internet of Things (IoT) technologies in Omani banks: a case study

foresight ◽  
2017 ◽  
Vol 19 (4) ◽  
pp. 409-420 ◽  
Author(s):  
Stuti Saxena ◽  
Tariq Ali Said Mansour Al-Tamimi
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Banking Sector ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Major Step ◽  
Content Type ◽  
External Data ◽  
Security Infrastructure

Purpose The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study. Design/methodology/approach Four Omani banks representative of local, international, Islamic and specialized banks are being studied in terms of their social networking presence on Facebook and their e-banking facilities. Also, impetus is laid upon the aggregation of internal data and vast amounts of semi-structured external data from public sources, including social media. Findings The case study shows that Big Data analytics and IoT technologies may be utilized by the Omani banks for facilitating them in “forecasting” and “nowcasting”. Besides, customers may be better managed with better and efficient services. However, there are challenges in tapping these technologies such as security, infrastructure, regulatory norms, etc. Practical implications Banks in Oman need to appreciate the utility of Big Data and IoT technologies, and for this, a robust IT infrastructure should be institutionalized. Originality/value The case study is a major step in integrating Big Data and IoT technologies in Omani banks across four variants of national, international, Islamic and specialized banks. This is the first study where such integration has been emphasized in the Omani banking sector.

scholarly journals IoT Security Configurability with Security-by-Contract

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4121 ◽  
Author(s):  
Alberto Giaretta ◽  
Nicola Dragoni ◽  
Fabio Massacci
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Holistic Approach ◽  
The Internet ◽  
Iot Security ◽  
Iot Devices ◽  
Work First ◽  
The Internet Of Things

Cybersecurity is one of the biggest challenges in the Internet of Things (IoT) domain, as well as one of its most embarrassing failures. As a matter of fact, nowadays IoT devices still exhibit various shortcomings. For example, they lack secure default configurations and sufficient security configurability. They also lack rich behavioural descriptions, failing to list provided and required services. To answer this problem, we envision a future where IoT devices carry behavioural contracts and Fog nodes store network policies. One requirement is that contract consistency must be easy to prove. Moreover, contracts must be easy to verify against network policies. In this paper, we propose to combine the security-by-contract (S × C) paradigm with Fog computing to secure IoT devices. Following our previous work, first we formally define the pillars of our proposal. Then, by means of a running case study, we show that we can model communication flows and prevent information leaks. Last, we show that our contribution enables a holistic approach to IoT security, and that it can also prevent unexpected chains of events.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

Artificial Intelligence powered Internet of Things and smart public service

2019 ◽  
Vol 38 (1) ◽  
pp. 165-179 ◽  
Author(s):  
Ying Ma ◽  
Kang Ping ◽  
Chen Wu ◽  
Long Chen ◽  
Hui Shi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Public Service ◽  
Smart Cities ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Content Type ◽  
Academic Fields ◽  
The Internet Of Things

Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China. Design/methodology/approach This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen. Findings The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications. Originality/value This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

scholarly journals Influence of Montoring: Fog and Edge Computing

2019 ◽  
Vol 20 (2) ◽  
pp. 365-376 ◽  
Author(s):  
Vivek Kumar Prasad ◽  
Madhuri D Bhavsar ◽  
Sudeep Tanwar
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Cloud Platform ◽  
The World ◽  
Iot Devices ◽  
Edge And Fog Computing ◽  
The Impact ◽  
The Internet Of Things

The evolution of the Internet of Things (IoT) has augmented the necessity for Cloud, edge and fog platforms. The chief benefit of cloud-based schemes is they allow data to be collected from numerous services and sites, which is reachable from any place of the world. The organizations will be benefited by merging the cloud platform with the on-site fog networks and edge devices and as result, this will increase the utilization of the IoT devices and end users too. The network traffic will reduce as data will be distributed and this will also improve the operational efficiency. The impact of monitoring in edge and fog computing can play an important role to efficiently utilize the resources available at these layers. This paper discusses various techniques involved for monitoring for edge and fog computing and its advantages. The paper ends with a case study to demonstarte the need of monitoring in fog and edge in the healthcare system.

A supply chain performance measurement approach using the internet of things

2017 ◽  
Vol 117 (2) ◽  
pp. 267-286 ◽  
Author(s):  
Abdallah Jamal Dweekat ◽  
Gyusun Hwang ◽  
Jinwoo Park
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Performance Measurement ◽  
Real Time ◽  
Supply Chain Performance ◽  
Time Data ◽  
Content Type ◽  
Performance Measurement Systems ◽  
And Control

Purpose The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems. Design/methodology/approach This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability. Findings The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC). Practical implications The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner. Originality/value This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

scholarly journals From design to prototyping in the Internet of Things: A domotics case study

2021 ◽  
Vol 2 (5) ◽  
pp. 29-37
Author(s):  
Sabrina Sicari ◽  
Alessandra Rizzardi ◽  
Alberto Coen-Porisini
Keyword(s):  
Internet Of Things ◽  
Remote Monitoring ◽  
The Internet ◽  
Home Automation ◽  
Indoor Environments ◽  
Adoption And Diffusion ◽  
Iot Devices ◽  
And Diffusion ◽  
The Internet Of Things

Nowadays, the capability of rapidly designing and prototyping, simple, yet real domotics systems (e.g., smart homes and smart buildings applications) is even more compelling, due to the availability and increasing spread of Internet of Things (IoT) devices. Home automation services enable the remote monitoring of indoor environments and facilities. The main advantages include saving energy consumption and improving the overall management (and users' experience) in certain application domains. The pervasive adoption and diffusion of such remote monitoring solutions is hampered by the timing required for design, prototyping and further developing applications and underlying architecture, which must be often customized on the basis of specific domains' needs and involved entities. To cope with this issue, the paper proposes the analysis and prototyping of a domotics case study, in order to demonstrate the effectiveness of proper IoT?related tools in speeding up the testing phase.

Internet of things skills and needs satisfaction: do generational cohorts' variations matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himmet Karadal ◽  
A. Mohammed Abubakar
Keyword(s):  
Internet Of Things ◽  
Peer Review ◽  
Structural Equation ◽  
Equation Modeling ◽  
Generational Cohorts ◽  
Content Type ◽  
Needs Satisfaction ◽  
Iot Devices ◽  
Future Theory ◽  
The Internet Of Things

PurposeThe authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are often oversimplified and generalized. This research fills a gap in the literature by highlighting the dynamics between the IoT skills and needs satisfaction for IoT devices and seeks to expound on the variations among generational cohorts using the self-determination theory.Design/methodology/approachSurvey data were obtained from 1,245 residents and IoT device users in Aksaray, Turkey. The obtained data were analyzed with variance-based structural equation modeling and the analysis of variance technique.FindingsThe results demonstrate that IoT skills determine the needs satisfaction for IoT devices. Generation Xers, Generation Yers and Generation Zers are distinct cohorts with respect to the IoT skills and needs satisfaction for IoT devices.Originality/valueCollectively, this study provides empirical evidence that informs the debate about the contributions of IoT skills and generational cohorts on needs satisfaction for IoT devices. The implications and several avenues for future theory-building research are discussed.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0144

Optimization approach for increasing revenue of perishable product supply chain with the Internet of Things

2017 ◽  
Vol 117 (4) ◽  
pp. 729-741 ◽  
Author(s):  
Rui Yan
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
The Internet ◽  
Human Society ◽  
Content Type ◽  
Perishable Product ◽  
Before And After ◽  
Revenue Models ◽  
The Internet Of Things

Purpose The purpose of this paper is to optimize a two-level perishable product supply chain by increasing its revenue with the Internet of Things (IoT). It particularly investigates how radio-frequency identification (RFID) technology impacts the revenue of the supply chain. Design/methodology/approach In this paper, two revenue models were built to calculate the revenue of perishable product supply chain before and after the application of IoT to analyze the influences of IoT on perishable product supply chain. In the case study, particular data of an aquatic product supply chain were analyzed through these models which were later solved by a computer simulation method based on Colonial Competitive Algorithm, a new heuristic algorithm inspired by imperialistic competition in human society. Findings Using these revenue models to compare the revenues of supply chain before and after the application of IoT, this paper concludes that the application of IoT can efficiently optimize a perishable product supply chain by balancing its wholesale profits and its total costs including logistics costs, therefore, increasing its overall revenue. However, this conclusion is only applicable for large enterprises, while small enterprises are not supposed to introduce IoT due to its high cost. Originality/value The revenue models built in this paper can be used to evaluate the profits of supply chain and help enterprises determine how to maximize their profits and whether they should introduce IoT in a perishable product supply chain. In addition, through the analysis of case study, this paper gives several valuable suggestions to help enterprises reduce their logistics costs and increase their overall revenue.

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