The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity

Internet of Things applications: A systematic review

As technology proceeds and the number of smart devices continues to grow substantially, the need for ubiquitous context-aware platforms that support an interconnected, heterogeneous, and distributed network of devices has given rise to what is referred today as Internet of Things. However, paving the path for achieving the aforementioned objectives and making the IoT paradigm more tangible requires integration and convergence of different knowledge and research domains, covering aspects from identification and communication to resource discovery and service integration. Throughout this chapter, we aim to highlight research on topics that include proposed architectures, security and privacy, and network communication means and protocols; we eventually conclude by providing details of future directions and open challenges that face the IoT development.

Internet of Things: an overview

The rise of ubiquitous systems is sustained by the development and progressive adoption of the Internet of Things (IoT) devices and their enabling technologies. IoT has been shown to have significant potential in high-risk Environment, Health, and Safety (EHS) industries. In these industries, human lives are at stake and IoT-based applications are primed to offer safe, reliable, and efficient solutions due to their ability to operate at a fine granular level and provide rich low-level information. We review existing published research on IoT-based applications in high-risk EHS industries with specific emphasis on healthcare industry, food supply chain (FSC), mining and energy industries (oil & gas and nuclear), intelligent transportation (e.g., connected vehicles), and building & infrastructure management for emergency response operations until 2016. We also highlight IoT-related challenges and proposed solutions in high risk EHS industries. We then conclude by presenting research challenges and expected trends for IoT in these industries.

Internet of Things (IoT) in high-risk Environment, Health and Safety (EHS) industries: A comprehensive review

https://eprints.ncl.ac.uk/file_store/production/245383/CE9E8C68-D492-498E-8150-19623366EFDB.pdf

Internet of Things: A systematic review of the business literature from the user and organisational perspectives

A multi-criteria approach toward discovering killer IoT application in Korea

User preference for an IoT healthcare application for lifestyle disease management

A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance

The entire media market competing for user attention is currently leaning toward snack-media, and it has become an undoubtedly important media industry sector. As its economic impacts grow, the snack-media market structure has become increasingly critical as a national concern. The near-monopolistic market, dominated by the global giant platforms, e.g. YouTube, should not be desirable for all the stakeholders in the local ICT and media industry. Given that network effects potentially reinforce the market dominance of the global giants, differentiation should be the most viable option for the local snack-media platforms. This study aims to segment the snack-media market based on user heterogeneity and to discuss corresponding strategies of the local platforms, adopting Q-methodology. The results revealed five user types, and they were located in a positioning map with two axes of the level of efficiency-pursuit and centered gratification. The local snack-media platforms' counter-strategies were suggested corresponding to the taxonomy.

Suwon Kim

Papers

A multi-criteria approach toward discovering killer IoT application in Korea

User preference for an IoT healthcare application for lifestyle disease management

A model for user acceptance of robot journalism: Influence of positive disconfirmation and uncertainty avoidance

Snack-media platform market segmentation based on user heterogeneity: A Q-methodology approach

The analysis of news website structure after the introduction of Naver News-stand