Quiz: Supply Chain Provenance

Question 1

The lecture states that global counterfeiting costs trend above $4 trillion per year (OECD 2023 baseline, continuing to grow through 2025). Which sub-category causes the most deaths?

(A) Food fraud (~$40 billion)
(B) Fake pharmaceuticals
(C) Conflict minerals (~$20 billion)
(D) Counterfeit luxury goods

Answer: (B) The lecture identifies fake pharmaceuticals as the deadliest category. In Sub-Saharan Africa, up to 30% of antimalarials are fake. Grace's story illustrates this: she buys malaria medicine for her son, but the pills contain no active ingredient. Source: OECD/EUIPO Global Trade in Fakes 2023; WHO Substandard and Falsified Medical Products factsheet, updated 2024. Data reviewed April 2026.

Question 2

The lecture defines provenance as answering three questions. Which set is correct?

(A) Origin (where was it made?), Process (how was it made?), Chain of custody (who handled it?)
(B) Brand (who made it?), Warranty (how long is it covered?), Compliance (is it legal?)
(C) Weight (how heavy is it?), Temperature (was it stored correctly?), Destination (where is it going?)
(D) Price (how much does it cost?), Quality (is it genuine?), Delivery (when does it arrive?)

Answer: (A) Provenance (from French "provenir," to come from) is the complete history of a product. All three questions must be verified: origin (geography, farm, mine), process (organic, fair trade, conflict-free), and chain of custody (every intermediary).

Question 3

In the lecture's coffee example, Ahmed earns $0.08 per pound at the farm gate while the same beans sell for $22 per pound at a Zurich cafe. What is the markup, and who benefits from this opacity?

(A) 10x markup; the farmer benefits from guaranteed sales
(B) 50x markup; the roaster captures all the value
(C) 100x markup; the consumer benefits from lower prices
(D) 275x markup -- Ahmed captures only 0.36% of retail

Answer: (D) The supply chain has 4 handoffs: farm ($0.08/lb), exporter ($0.45/lb), roaster ($3.20/lb), cafe ($22/lb). Without provenance, exporters can mix origins and roasters cannot verify claims. Opacity protects intermediaries' margins.

Question 4

The lecture invokes Akerlof's "lemons problem" to explain supply chain opacity. What does this economic concept mean in the context of supply chains?

(A) Supply chains always converge toward optimal quality
(B) Government intervention always solves information asymmetry
(C) When buyers cannot distinguish genuine from counterfeit
(D) Only citrus fruit supply chains suffer from fraud

Answer: (C) Akerlof won the 2001 Nobel Prize for showing how information asymmetry leads to market failure. Marco produces genuine Puglia EVOO at EUR 8/litre, but competitors sell blended oil labelled "Italian EVOO" for EUR 3/litre. 70% of imported EVOO in the US fails quality tests (UC Davis, 2011).

Question 5

In the lecture's cold chain example, a COVID-19 vaccine (Pfizer) must be stored at -70 degrees C. IoT sensors record temperature every 30 seconds and write data to a blockchain every 5 minutes. What advantage does this have over paper-based temperature logs?

(A) Paper logs are more accurate because they are filled in by trained personnel
(B) IoT sensors are cheaper to deploy than paper and pencils
(C) Paper logs are filled in retrospectively with no evidence of conditions between
(D) IoT sensors eliminate the need for vaccines to be stored at controlled temperatures

Answer: (C) The lecture contrasts "I checked at 3pm" paper logs with continuous 30-second IoT readings hashed to blockchain. Any temperature excursion above -60 degrees C triggers an automatic alert. The key advantage is continuous, unfalsifiable evidence.

Question 6

In the coffee worked example, Ahmed's bag weighs 60.2 kg at the farm but only 58.8 kg at the export point (a 2.3% loss). The expected range is 1-3%. How is weight tracking used as fraud detection?

(A) Weight tracking only measures moisture loss, not fraud
(B) If the export weight exceeds the farm weight, it indicates product substitution -- cheaper beans may have been mixed in. Weight gains between handoffs are the most reliable indicator of fraud
(C) Weight is too easy to manipulate to serve as a fraud detection mechanism
(D) Any weight loss automatically triggers a fraud investigation

Answer: (B) Expected losses are: farm-to-export 1-3% (moisture), export-to-roast 0-1% (transit), roasting 75-82% (water + chaff). Unexplained weight gains signal substitution. Weight is physical and hard to fake at scale.

Question 7

The lecture states that a smartphone contains 200+ components from 60+ suppliers across 30+ countries. Why does this fragmentation make supply chains opaque?

(A) Because 200 components is too few to create complexity
(B) Because smartphone manufacturers deliberately hide their supply chains
(C) Because each handoff crosses different jurisdictions
(D) Because each supplier uses the same tracking system, creating data overload

Answer: (C) The lecture identifies four structural reasons for opacity: fragmentation, asymmetric incentives (middlemen profit from opacity), paper-based records (forgeable bills of lading, certificates), and jurisdictional gaps. Plus economic reasons: information asymmetry equals market power.

Question 8

Every time a product changes hands, the new custodian records the transfer on a blockchain. What five data points does the lecture say get recorded at each handoff?

(A) Price, profit margin, tax status, insurance policy, retail destination
(B) Who, What (product ID, batch, weight), When (timestamp), Where (GPS)
(C) Brand name, manufacturer, colour, size, packaging type
(D) Only the hash of the previous block and the transaction fee

Answer: (B) The result is an immutable, timestamped, auditable record of the product's journey. IoT sensors feed the Where and Conditions data automatically, reducing reliance on human data entry.

Question 9

De Beers' Tracr platform creates a "digital twin" of each diamond. What is the first step in this process?

(A) The diamond is assigned a random serial number by the mining company
(B) The rough stone is 3D-scanned at the mine in Botswana to create
(C) A jeweller photographs the diamond and uploads the image to IPFS
(D) A GIA certificate number is manually entered into a database

Answer: (B) The 3D scan creates a fingerprint unique to each stone's crystal structure. Each transformation (cutting, polishing) updates the digital twin. Anomalous weight retention during cutting (rough loses 50-60%) flags potential stone substitution.

Question 10

By 2025-2026, Tracr covers an estimated ~30% of the world's newly mined natural diamonds, with hundreds of thousands of stones registered since its 2022 launch. What is its main limitation according to the lecture?

(A) It uses a public blockchain, exposing trade secrets
(B) Consumers cannot access the provenance data
(C) It can only track diamonds above 5 carats
(D) It only covers De Beers' own and partner mines

Answer: (D) Tracr uses a private permissioned blockchain with 30+ manufacturing partners. It has expanded to cover roughly one-third of global natural rough diamond production, but the remaining two-thirds -- including artisanal mines and Russian sources subject to G7 sanctions -- bypass the system, limiting its claim to guarantee industry-wide conflict-free provenance. Source: De Beers Group corporate communications 2024-2025; Tracr.com platform updates. Data reviewed April 2026.

Question 11

At the retail stage, a consumer at Tiffany can scan a QR code to see a diamond's full provenance. What links the physical stone to the blockchain record?

(A) A laser inscription on the diamond that matches
(B) A paper certificate inside the box
(C) An NFC chip embedded in the diamond
(D) The store employee verbally confirms the origin

Answer: (A) The laser inscription is microscopic and matches the digital twin on the Tracr blockchain. The GIA grading report (an industry-standard certification) is also linked. This creates a verifiable chain from Botswana mine to retail counter.

Question 12

Walmart's pilot with IBM Food Trust famously cut mango trace time from 7 days to 2.2 seconds. Yet the flagship maritime-logistics sister platform TradeLens (Maersk + IBM) was discontinued in November 2022, and IBM Food Trust itself has struggled to scale beyond a smaller set of partners than once hoped. What was the primary reason these blockchain-provenance networks struggled?

(A) Government regulators banned the platforms
(B) The blockchain technology was too slow for supply chains
(C) The business model failed: participation cost five
(D) Walmart refused to participate in the network

Answer: (C) TradeLens is the most important failure case in blockchain provenance: technology worked perfectly, the coalition economics did not. Maersk and IBM announced the November 2022 wind-down citing insufficient industry collaboration. IBM Food Trust survives on a smaller scale than originally projected. Adoption requires low entry cost, immediate ROI, and industry-wide standards; none of these materialised at network scale. Source: Maersk and IBM joint statement, November 2022 (TradeLens discontinuation); Reuters and gCaptain coverage. Data reviewed April 2026.

Question 13

The lecture describes the "garbage in, garbage out" limitation. What does this mean for blockchain-based provenance?

(A) A blockchain faithfully records whatever data is entered
(B) IoT sensors always produce accurate data, so "garbage in" is not a real concern
(C) Blockchain nodes produce electronic waste when decommissioned
(D) Physical garbage cannot be tracked on a blockchain

Answer: (A) This is the physical-digital gap: blockchain secures digital records, but cannot independently verify physical reality. If Ahmed's cooperative falsely records beans as "single-origin Sidamo" when they are actually mixed, the blockchain permanently preserves that false claim.

Question 14

IoT sensors help bridge the physical-digital gap, but the lecture identifies situations where they fail. Which scenario illustrates an IoT limitation?

(A) IoT sensors only work in cold climates
(B) IoT sensors are too expensive for any real-world deployment
(C) IoT data cannot be written to a blockchain
(D) A sensor can confirm that a shipping container maintained

Answer: (D) Sensors measure environmental conditions (temperature, humidity, GPS, weight) but cannot verify product identity. Someone could place counterfeit vaccines in a properly cooled container. The physical-digital gap persists at the point of initial data entry.

Question 15

Marco produces genuine Puglia extra virgin olive oil at EUR 8/litre. Competitors sell fraudulent "Italian EVOO" at EUR 3/litre. How does blockchain provenance help Marco, if at all?

(A) Blockchain provenance is irrelevant for food products
(B) Blockchain automatically detects the chemical composition of olive oil
(C) Blockchain eliminates the price difference between genuine and fraudulent oil
(D) Marco can offer verifiable provenance that consumers can check via QR code

Answer: (D) Provenance gives Marco a verifiable story: GPS coordinates, harvest timestamp, pressing temperature, and chain of custody. Consumers willing to pay EUR 8/litre get cryptographic proof that what they bought is genuinely from Puglia. But blockchain cannot prevent competitors from continuing to sell fraudulent oil.

Question 16

Grace buys malaria medicine in Lagos for 2,500 Naira ($3.10), but the pills contain no active ingredient. Nigeria's NAFDAC introduced a scratch-and-verify SMS system (mPedigree) in 2009. What does this tell us about blockchain's role in pharmaceutical provenance?

(A) SMS-based systems are always superior to blockchain
(B) Pharmaceutical counterfeiting only affects African countries
(C) Effective provenance solutions do not necessarily require
(D) Blockchain is the only solution for pharmaceutical counterfeiting

Answer: (C) The lecture positions mPedigree as an "early non-blockchain provenance solution." The technology matters less than adoption: 10.5% of medicines in low/middle-income countries are substandard (WHO, 2023), regardless of which tracking system is available.

Question 17

The EU Digital Product Passport (DPP), under the Ecodesign for Sustainable Products Regulation (ESPR, in force July 2024), will progressively require products sold in the EU to carry a machine-readable digital passport -- with batteries, textiles, and electronics among the first priority groups becoming mandatory from 2027. What is the key difference between the EU DPP and voluntary blockchain networks like TradeLens?

(A) The EU DPP only applies to food products, while voluntary blockchain networks covered all industries
(B) TradeLens and IBM Food Trust relied on voluntary market adoption and stalled
(C) Voluntary blockchain networks were more comprehensive than the EU DPP
(D) The EU DPP uses the same proprietary technology as IBM Food Trust

Answer: (B) Voluntary networks needed every participant to opt-in and pay five to six figures per year. Under the ESPR (Regulation (EU) 2024/1781), delegated acts will set DPP obligations by product group: batteries already carry obligations from 2027 under the Batteries Regulation, with textiles and consumer electronics following in the first wave of ESPR delegated acts. Compliance is legally required, not optional, which is the structural difference from market-push pilots. Source: Regulation (EU) 2024/1781 (ESPR); Regulation (EU) 2023/1542 (Batteries); European Commission DPP Working Plan 2025-2030. Data reviewed April 2026.

Question 18

The EU DPP requires six categories of data per product. Which of the following is NOT a required category?

(A) Retail profit margin per unit
(B) Carbon footprint (lifecycle assessment)
(C) Repairability score (0-10 scale)
(D) Material composition (exact percentages)

Answer: (A) The six required categories are: material composition, carbon footprint, country of origin per component, repairability score, recycling instructions, and compliance certifications. Profit margins are proprietary business information, not a DPP requirement.

Question 19

The lecture states that 500 million smallholder farmers are excluded from provenance systems. Estimated compliance cost for the EU DPP is EUR 5,000 to EUR 500,000 per company. Which is the core tension?

(A) Large companies cannot afford the compliance costs
(B) Smallholder farmers prefer paper-based records
(C) The EU DPP exempts smallholder farmers from all requirements
(D) Provenance systems require digital infrastructure that Tier

Answer: (D) The lecture asks "who pays for the infrastructure?" repeatedly. Cocoa supply chains involve 5-6 million smallholder farmers, most earning under $2/day. Your provenance design must account for this economic reality -- not just the technology.

Question 20

A student claims: "Blockchain provenance will eliminate all counterfeiting within 5 years." Using the lecture's evidence across all case studies (TradeLens, IBM Food Trust, De Beers Tracr, EU DPP, Provenance.org's 2021 pivot away from blockchain), which response is most complete?

(A) Highly unlikely
(B) Incorrect -- blockchain provenance has no benefits and should be abandoned
(C) Correct -- the EU DPP mandate guarantees universal adoption
(D) Correct -- blockchain technology is mature enough to solve counterfeiting globally

Answer: (A) The lecture's key lesson from TradeLens: "Technology worked perfectly. Business model failed." Multiple vendors (including early blockchain-first startups like Provenance.org) have since pivoted toward lighter digital credentialing rather than full permissioned ledgers. Provenance requires technology, economics, regulation, and adoption to converge. No single factor is sufficient, and the physical-digital gap remains unsolved. Source: Maersk/IBM TradeLens statement Nov 2022; De Beers Group updates 2024-2025; Provenance.org public materials 2021 onward; ESPR (EU) 2024/1781. Data reviewed April 2026.