Integration of Goods Delivery Supervision into E-commerce Supply Chain
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification
An Introduction to RFID Technology
IEEE Pervasive Computing
Design of ultra-low-cost UHF RFID tags for supply chain applications
IEEE Communications Magazine
D-bridge: a platform for developing low-cost WSN product solutions
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Digital object memories in the internet of things workshop: (DOME-IoT 2010)
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Collective communication for dense sensing environments
Journal of Ambient Intelligence and Smart Environments
Digital Object Memories for the Internet of Things (DOMe-Iot)
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
How to instill activity into digital object memories
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Journal of Theoretical and Applied Electronic Commerce Research
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The Internet of Things aims to connect networked information systems and real-world business processes. Technologies, such as barcodes, radio transponders (RFID) and wireless sensor networks, which are directly attached to physical items and assets transform objects into Smart Items. These Smart Items deliver the data to realize the accurate real-time representation of 'things' within the information systems. In particular for supply chain applications this allows monitoring and control throughout the entire process involving suppliers, customers and shippers. However, the problem remains what Smart Item technology should be favored in a concrete application in order to implement the Internet of Things most suitable. This paper analyzes different types of Smart Item technology within a typical logistics scenario. We develop a quantification cost model for Smart Items in order to evaluate the different views of the supplier, customer and shipper. Finally, we conclude a criterion, which supports decision makers to estimate the benefit of the Smart Items. Our approach is justified using performance numbers from a supply chain case with perishable goods. Further, we investigate the model through a selection of model parameters, e.g. the technology price, fix costs and utility, and illustrate them in a second use case. We also provide guidelines how to estimate parameters for use in our cost formula to ensure practical applicability of the model. The overall results reveal that the model is highly adaptable to various use cases and practical.