Supply Chain Tracing and Anti-Counterfeiting with Distributed Ledger Technology

In recent times, there has been a rampant proliferation of counterfeit products that has left a trail of devastation in the manufacturing sectors. The repercussions of this extend to companies, impacting their brand reputation, revenue streams and overall profitability. Industries like agriculture, banking, electronics, and high-value deliveries uses the emergence of blockchain technology as a powerful tool to discern between authentic and counterfeit items. Its potential as a means to curtail the influx of fake products in the market is substantial. Blockchain technology, at its core, operates as a decentralized and distributed digital ledger system, meticulously recording transactions within interconnected blocks across multiple databases. The inherent security of this technology ensures the immutability of these blocks, rendering them invulnerable to alteration or hacking. By leveraging blockchain technology, consumers can independently verify the authenticity of a product, eliminating the need for reliance on third-party intermediaries. Incorporating recent technological advancements, the utilization of Quick Response (QR) codes offers a robust approach to combat the proliferation of counterfeit goods. The integration of blockchain technology with QR codes serves as a means to uphold the integrity of products. This innovative system securely stores product details and unique codes in the form of blocks,  where QR codes play a pivotal role in collecting and matching these unique codes with entries in the blockchain database. If the QR code matches with entries in the database, the user receives a confirmation of the product's authenticity; otherwise, an alert is triggered, signaling the presence of a counterfeit product

An Economic Analysis of the Online Counterfeit Market and the Impact of Anti-Counterfeit Technology

Counterfeiting causes hundreds of billions dollars of losses around the world every year. Due to the growing prominence of online commerce, the seriousness of the situation could soon become much worse. Hence, reaching a clear understanding of the fundamental economic incentives behind this practice is of vital importance. In this paper, we investigate a problem within which a firm selling acounterfeit product engages in price competition with a firm that sells an authentic product to a population of heterogeneous consumers. An online intermediary acts as the facilitator of both firms’ transactions and may consequently be liable for any counterfeit sales. We use a stylized model to explain the economic incentives and the equilibrium behaviors of both firms and of the intermediary. More specifically, we seek to understand the effects of anti-counterfeit technology and anti-counterfeit policies on both firms’ pricing strategies and profits, as well as on the intermediary’s profit, consumer surplus and social welfare. Conclusions of this paper can provide managerial implications on how to effectively handle the online counterfeit problem

RFID Control System for the Embarkation/Disembarkation of Passengers and Vehicles on/from Ferries

Radio-frequency identification (RFID) is a technology which provides automatic identification and real time data acquisition capabilities without requiring additional human resources. This paper presents a control system for the embarkation/ disembarkation of passengers and vehicles on/from ferries, supported by RFID technology. A basic model of a RFID control system is developed to introduce the notion of RFID as a technology capable of access control with certain technical constraints. The ticket check-in process, made automatic by simple entry of a tag into the field of a RFID reader, increases the flow of passengers and vehicles, reduces port congestion, eliminates the possibility of boarding the wrong (by destination) ferry, and significantly reduces the number of cash payments

Developing anti-counterfeiting measures: the role of smart packaging

Counterfeiting of food and beverage products is rife and premium brands are often targeted by fraudsters. Such is the case with Scotch whisky, a global, reputable brand revered for its heritage and tradition. Using Scotch whisky as a case study, the aim of this paper is to review existing literature and industry information to determine the market and personal consequences of counterfeiting activities and consider the packaging related anti-counterfeiting measures that can be employed within a wider anti-counterfeiting strategy. A typology of counterfeiting activities is developed including: tear- down counterfeiting, product overruns, malicious activities and document counterfeiting. Anti-counterfeiting measures are used to deter, detect and control counterfeiting activities and different packaging related approaches include the use of smart covert and overt technology. Most smart packaging-related anti-counterfeit technologies are stand-alone systems and this presents a vulnerability. An integrated anti-counterfeiting measures strategy, employed by business, the supply chain and the government is required to reduce the risk of the sale of counterfeit food and beverage products

Product Redesign and Innovation Based on Online Reviews:A Multistage Combined Search Method

Online reviews published on the e-commerce platform provide a new source of information for designers to develop new products. Past research on new product development (NPD) using user-generated textual data commonly focused solely on extracting and identifying product features to be improved. However, the competitive analysis of product features and more specific improvement strategies have not been explored deeply. This study fully uses the rich semantic attributes of online review texts and proposes a novel online review–driven modeling framework. This new approach can extract fine-grained product features; calculate their importance, performance, and competitiveness; and build a competitiveness network for each feature. As a result, decision making is assisted, and specific product improvement strategies are developed for NPD beyond existing modeling approaches in this domain. Specifically, online reviews are first classified into redesign- and innovation-related themes using a multiple embedding model, and the redesign and innovation product features can be extracted accordingly using a mutual information multilevel feature extraction method. Moreover, the importance and performance of features are calculated, and the competitiveness and competitiveness network of features are obtained through a personalized unidirectional bipartite graph algorithm. Finally, the importance performance competitiveness analysis plot is constructed, and the product improvement strategy is developed via a multistage combined search algorithm. Case studies and comparative experiments show the effectiveness of the proposed method and provide novel business insights for stakeholders, such as product providers, managers, and designers

Anti-Counterfeiting Warnings: Do they Influence Consumer Behavior and Perception of Overt Indicators?

This study examined if overt anti-counterfeiting indicators on product packages and warning labels added to the product, informing that the product might be a counterfeit, influenced participants to spend more time examining the product package for genuineness. The overt indicators used were a QR code, and a holographic security tag that were added to packages as a sticker. There was little research regarding what consumers were looking for when examining a product package to determine if the product was genuine or counterfeit. Arguments for both involving the consumers in the counterfeit identification process, and not involving the consumers in this process were found in previous literature. In this study, the participants wore a set of eye tracking glasses and were given 13 different products to examine, some with no added indicators, some with added QR code indicator, and some with holographic security tag added indicator. Half of the subjects saw the added warning label sticker, and the other half saw the same products with no added warning label. After the participants finished viewing each of the products, they filled out a survey that asked them if they thought the product was genuine or counterfeit, how likely they would be to purchase the product, how much they trusted that the product, and what it was about the product that made them rate it this way. The total amount of time that the participants spent examining the product package, as well as the total amount of time the participants spent examining the added overt anti-counterfeiting indicators on the product package were measured as well. The results revealed that the warning label did have an overall effect on the total amount of time that the participants spent examining the product package, and there was no difference on total time between the two types of indicators. Participants did not pay more attention to one indicator over the other. Further research will be needed to examine true counterfeit products when compared to genuine products, after the addition of the warning labels and the overt anti-counterfeiting indicators to the product package