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PublicationUnderstanding Data Volume Problems of RFID-enabled Supply ChainsPurpose - The widespread application of radio frequency identification (RFID) tags in supply chains is said to cause enormous data volume problems that could render RFID event?driven supply chains unmanageable. An unbiased and quantitative understanding of the characteristics and extent of these data volume problems is necessary to identify and remove adoption barriers. This paper aims to address the issues. Design/methodology/approach - The paper presents a simulation study based on a real?world scenario that reveals quantitative characteristics of the data volumes problem in an RFID?enabled supply chain and discusses its implications. Findings - The results suggest that data volumes will be much lower than currently assumed by practitioners. Thus, this work can be seen as a first basis for eliminating unjustified adoption concerns regarding data volumes complexity. However, it finds that the data volume problems bear still significant challenges for researchers and developers of RFID infrastructures with real?time decision?making applications. Research limitations/implications - The simulation study is based on a single product case study of a retail supply chain in Europe. Since a simulation is always a simplification of the real world, the results need to be interpreted carefully in different contexts. The nature and extent of the problem might vary across different products, industries and geographic regions. Practical implications - Researchers, end?users and solution providers might use our paper as a guideline how to approach and quantify the data volume problem in their particular case. Moreover, the result data can be used to benchmark and optimize RFID applications. Originality/value - This paper is one of the first scholarly works that analyze RFID data volume problems in supply chains with a quantitative methodology.Type:Journal:Volume:Issue:
Scopus© Citations 13 -
PublicationIncreased Supply Chain Visibility with Rule-Based Analysis of RFID Data(IEEE, 2009-01-18)RFID technology tracks the flow of physical items and goods in supply chains to help users detect inefficiencies, such as shipment delays, theft, or inventory problems. An inevitable consequence, however, is that it generates huge numbers of events. To exploit these large amounts of data, the supply chain visualizer increases supply-chain visibility by analyzing RFID data, using a mix of automated analysis techniques and human effort. The tool's core concepts include rule-based analysis techniques and a map-based representation interface. With these features, it lets users visualize the supply-chain structure, together with performance metrics, and detect problematic hot spots.
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PublicationDigital Receipts: Fostering Mobile Payment Adoption(Springer, 2013-12-03)Mobile payment adoption remains low. This paper presents a user-study that evaluates whether providing digital receipts in-store to customers could drive mobile payment adoption. Our results reveal that although our smart phone based payment and digital receipt processes took up to 60% longer than getting paper receipts and paying with cash, users perceived the digital receipt approach as fun, useful, and even time-saving. These insights may help drive adoption of mobile payment systems.Type:Volume:
Scopus© Citations 2 -
PublicationThe scanner at your finger tips - analysis of the effectiveness of the scan mouse device( 2012-12-02)Scanning parts of paper-based information can be time-consuming and disrupt the user's workflow. Accordingly, we investigate the performance and usability of a computer mouse with document scanning capabilities, referred to as scan mouse. We set up a user study with 20 users scanning parts of paper documents using the scan mouse, a personal desktop scanner, shared network scanner, and the camera of an iPhone. Results show that the scan mouse is both faster and perceived as easier to use than the other devices due to the seamless integration of scanning capabilities into the established routine of handling a computer mouse.
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PublicationEstimating Data Volumes of RFID-enabled Supply Chains(Association for Information Systems, 2009-10-18)
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PublicationAnalyzing Product Flows with the Supply Chain Visualizer(Springer, 2008-03-26)
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PublicationSynchronized Secrets Approach for RFID-enabled Anti-Counterfeiting(Springer, 2008-10-18)
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PublicationDistance-sensitive high frequency RFID systems(IEEE Computer Society, 2008-10-18)
Scopus© Citations 3 -
PublicationDual Ownership: Access Management for Shared Item Information in RFID-enabled Supply Chains( 2007-10-18)
