Abstract
Luxury products are expensive goods of high quality that are produced in limited quantities. Unsurprisingly, the problem of counterfeiting is especially high for such products, causing various issues for sellers and consumers. Therefore, product authentication represents an important endeavor. While traditional approaches such as expert-based product authentication are reliable but expensive, consumer-based approaches are cheaper but significantly more error-prone. Hence, the development of efficient approaches that also consider the advantages of modern technologies, such as e.g., blockchains, provide a high potential for improving the status-quo. The current paper applies a mixed-method approach and reports about a quantitative survey in combination with expert interviews to identify the main requirements and preferences from consumer and seller perspective. Results show that the knowledge of authentication methods is unevenly distributed between experts and consumers. While both consumers and experts are aware of traditional, serial number-based approaches, blockchain-enabled ways of product authentication are only known by experts. However, both groups tend to prefer digital ways of authentication and agree that sellers, followed by producers, and lastly consumers are responsible for ensuring authentic products. Consumers desire many additional features for product authentication than experts. Most desired features include tracking the sales history via e.g., the blockchain or online directories, the traceability of ownership, or the possibility to conduct home tests for consumers. The results of the paper provide researchers and practitioners with a requirement base for developing novel authentication approaches.
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This research is partly sponsored by Robonomics Grant Program and the Government of Upper Austria as part of the excellence network for logistics Logistikum.Retail.
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Zimmermann, R., Udokwu, C., Kompp, R., Brandtner, P., Norta, A. (2022). Authentication of Luxury Products – Identifying Key Requirements from a Seller and Consumer Perspective. In: Dang, T.K., Küng, J., Chung, T.M. (eds) Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. FDSE 2022. Communications in Computer and Information Science, vol 1688. Springer, Singapore. https://doi.org/10.1007/978-981-19-8069-5_13
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