Digital Divide Lecture 6

How do you define “retail” and “digital retail”?

retail = exchange of goods/services in end-consumer markets                                                                       

digital retail: tech-driven retail integrating data, logistics, payments + consumer experience

What are the 4 stages of historical evolution? What are they based on?

1. Retail 1.0: 18th-19th century, mechanization

2. Retail 2.0: early-late 20th century, electrification & mass production

3. Retail 3.0: late 20th-early 21st century, automation & online retail

4. Reail 4.0: 21st century - present, digitization & smart retail

based on

What does Retail 1.0 encompass? What does it mean for inequality?

Steam engines + railways lead to mass manufacturing, first department stores, mostly cash-based transactions

you had to live near department stores to buy things > exception: mail catalogues

What does Retail 2.0 encompass? What does it mean for inequality?

automobiles, people moving to suburbs + cheaper mass production leads to the rise of suburban malls and credit cards + loyalty programs (=data marketing)

benefitted suburban middle-class consumers with cars + financial access but not lower-income/urban poor consumers

What does Retail 3.0 encompass? What does it mean for inequality?

Retail 3.0: rise of computers and internet lead to global online shopping (Amazon, Ebay) with online payment systems;

gaps between consumers with good internet access + digital literacy and those without increased

What does Retail 4.0 encompass? What does it mean for inequality?

rise of AI, IoT, AR, Big Data Analytics (also bc of COVID-19); omnichannel distribution is getting more popular! personalization & automation is more important (AI chatbots, self-service kiosks);

uneven global adoption

What did the evolution look like in Korea?

Korea: had a delayed but faster transition than Europe + USA from the 1990s onwards

Explain some changing consumer practices!

• One-click purchasing: less friction and more spending!

• consumers rely heavily on reviews and recommendations of others/the company

• subscription/memberships are more important (Amazon Prime, Coupang Wow)

What is platform power + market concentration about? What implications does it have?

=platforms are the infrastructure for consumer markets

market concentration: a few giant companies dominate retail + set rules for everyone else

Implications: limited consumer choice, distorted pricing (dynamic pricing) + conditions

What are some key characteristics of retail platforms?

• Two-sided markets: connecting sellers + consumers

• network effects: value increases with more users

• data-driven advantage: algorithms, targeted ads

• lock-in effects: memberships like Prime raise switching costs (so focused on your favorite retailer that not buying stuff from Amazon would be very hard bc of the benefits you would miss out on)

Who are some global and Korean leaders that are dominating the market?

Globally: Amazon, Alibaba/Taobao, Mercado Libre, Shopee

Korea: Coupang, Naver Shopping, Gmarket

What are some consumer implications that arise from platform power + market concentration?

• pricing structures: sellers are charged commissions, only AmazonPrime members get benefits, dynamic pricing & personalized offers can risk discriminatory outcomes

• Product variety: algorithms decide what products are visible + recommended, niche products struggle for exposure

• Fairness issues: difference between sponsored (paid ads) + organic search results (relevancy) is often unclear

• consumer voice: reviews and ratings decide relevancy even though biased + fake reviews are common

What is the 90-9-1 rule pattern about?

most (90%) of shoppers only read reviews and consume them passively, while a few are contributing here and there but only very few actively contribute  a large share of the content and may distort the overall products ranking

What does the last-mile delivery encompass?

=final step of logistics (warehouse > consumers doorstep): the most expensive + complex part > crucial for speed, cost + consumer satisfaction

What are the reasons for changing consumer demands regarding last-mile delivery?

• Rise of single-person households (China, Japan, SK): demand for small packages + frequent deliveries

• aging population: demand for accessible delivery services

• declining birth rate: mass-market > personalized subscription models

What are the impacts that last-mile deliery has on retail structure

• traditional large-scale retail (hypermarkets) are getting less important

• more focus on membership/subscription models

• last-mile delivery promises: same day/next day delivery (Amazon Prime) as a core differentiator

What are some perils of last-mile delivery?

regional inequality:

• gap between urban + rural areas (delivery is faster in metropolitan areas)

• limited coverage/higher delivery fees in remote regions

• exclusion of certain groups (islands, rural elderly, low-income areas)

labor + social dimensions:

• gig workers + drivers have high-pressure working conditions (pressure for speed > worker exploitation risks)

What implications does last-minute-delivery have for consumer inequality?

• regional divide: urban + suburban consumers have many retail choices + fast delivery, while rural + remote areas don’t (=delivery deserts)

• economic divide: low-income households in underserved areas pay higher delivery fees and have a reduced access to convenience > premium retailers focus on high-income areas instead

• digital divide: urban consumers experience seamless integration of online shopping, while rural consumers are met with friction, slower delivery  + limited options

• policy & market implications: focus on urban population, shows existing divides more

What are “recommendation algorithms”?

=data-driven systems that shape consumer choices (less search costs + more convenience > “recommendation-based consumption”) > tracking what you watch/consume and then recommending you similar stuff

What are the benefits of recommendation algorithms?

• convenience & efficiency: reduces search costs + time, increases conversion rates (reduced marketing costs)

• higher consumer satisfaction: better product-consumer matching, seems like “curated” shopping tailored to individual needs

What is “content-based filtering”?

=system looks at characteristics of products/content you consume and tries to find products with similar characteristics (genre/actor/language)

What problems can content-based filtering bring?

• reinforces existing preferences: similar products to past purchases are repeatedly shown (limited consumption patterns)

• digital literacy gap: literate consumers can recognize the limits of algorithms and explore other things while illiterate consumers cannot

• economic stratification: past purchasing pattern could reproduce existing market segmentation (e.g. specific price range)

What is collaborative filtering about?

=system looks at content that similar users have watched as well, and recommends that to the other user (patterns are looked at)

What problems come with collaborative filtering?

• majority bias: recommendations reflect the behavior of the majority, minorities are excluded (e.g. Hollywood blockbosters instead of French new wave movies)

• network effect inequality: less active users get less accurate recommendations (bad for new, niche-preference + underrepresented groups)

• reproduction of social biases + stereotypes: “others like you chose this” can limit choice

What is omnichannel retail? What inequalities does it bring?

=Omnichannel retail: integrating online, offline, mobile + live-commerce

better for consumers with compatible devices + strong coverage, barriers across digital + physical channels can accumulate

What is AR/VR about regarding business? What inequalities does it bring?

placing digital items into a real-world environment; virtual fitting rooms/shopping malls

·       inequalities: expensive devices + high-speed networks needed

What is Metaverse commerce? What inequalities does it bring?

Metaverse Commerce: beyond the standard shopping experience into virtual stores, immersive brand experiences

·       inequalities: dependence on expensive hardware + high-speed networks, social challenges (privacy, accessibility)

Explain retail automation and crossborder e-commerce! Name the inequalities that they bring!

Retail Automation: cashier-less stores + smart carts (Selbstkassa)

·       inequalities: excludes unbanked/underbanked people, elderly + disabled consumers

Crossborder E-Commerce: consumers buy products directly from overseas sellers (more important because of better international logistics + digital payment systems)

·       inequalities: hidden costs, eTrade readiness, digital literacy & regulatory knowledge barriers, customer protection

What are generative AI shopping assistants? What inequalities do they bring?

Generative AI Shopping Assistants: having conversations with AI chatbots about desired products, features and evaluation > higher conversion rate + consumer satisfaction

·       inequalities: less autonomy because of biased and sponsored recommendations, AI principles should be considered

What is agentic e-commerce?

AI doesnt just give recommendations, it completes the sale