Table 4

Data reduction and operationalization

VariableDefinitionRating
BC systems
Data veracity control measuresActions and/or activities that are taken to prevent, reduce or eliminate the possibility that data saved on the BC does not accurately reflect realityNo control: manual data entry with no control carried out to check if the reality has been altered
Artificial intelligence (AI): manual data entry that is checked through AI to identify any potential mismatches (e.g. between the quantity of harvested grapes and volume of wine produced; between geo-localization of mechanical grape harvesters and date of grape harvesting; between weather conditions and date of grape harvesting)
Third-party certification bodies (TPCBs): on-site data collection and entry on the BC by trusted third-party authorities
Data-entry frequencyFrequency of information entering into BC.Low: the time lag between the moment when an event occurs and the moment when the related information is written on the BC ranges between some weeks to several months
Medium: the time lag between the moment when an event occurs and the moment when the related information is written on the BC ranges between some days to one week
High: the time lag between the moment when an event occurs and the moment when the related information is written on the BC is less than 24 h
Smart labels
+
Customer communication channels
Physical identifiers used to link real-life objects (e.g. wine bottles) with the related information saved on the BC, that customers can access through different types of channelQR code + Web page: two-dimensional code, composed of a series of black and white squares, that stores a link to a static stand-alone web page (URL). QR code can be read by mobile devices, using their built-in digital camera, that automatically redirect to the related web page
NFC tag + Mobile application: sticker or wristband with embedded microchips that store a reference to data saved on the web. It is passive, i.e. does not require a battery. In addition to the encoded UID, it uses specific security mechanisms, such as data encryption, to prevent replicability. It can be read by NFC-enabled mobile devices through the use of a dedicated mobile application that performs data decryption
Proportion of accessible data for which hashes are saved on the BCProportion of the total data accessible by consumers (through a web page or a mobile application) that is linked to BC transactions (for which the related hashes were originally and immutably saved)Low: a small portion of the information provided to consumers is associated with the respective transactions saved permanently on the BC. Data stored off-chain in centralized servers rather than on the BC may be subject to manipulations
High: most of the information provided to consumers is linked to the respective transactions permanently saved on the BC.
Counterfeiting protection
Upstream counterfeiting protectionDesired protection level in preventing upstream counterfeitingEntry-level: assurance that the wine has an acceptable quality level, rather than a true assurance of origin (e.g. grape origin) or adherence to special production and processing specifications, in order to ensure customers of wine safety
Medium-level: assurance above all of the grape origin that has a major impact on wine quality, in order to make customer aware that quality is an important feature of the wine
High-level: assurance that grapes come from the areas identified by PDO specifications (grape origin) and that production processes adhere to superior production practices, in order to make customers aware of the superior quality level of the wine and the extraordinary of grape origin
Downstream counterfeiting protectionDesired protection level in preventing downstream counterfeitingNull: no protection against relabelling, fake labels and refilling
High-level: high protection against relabelling, fake labels, and refilling

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