case study e-books Flashcards
Biggest issue
pricing
Exploitative business model
Opportunity to tap in the selection systems of their suppliers and their customers
Recent trend
mergers & mega-mergers
Disappearance of most small independent bookshops
Breakdown of the major and mortar chains
Rise of e-retailers
e.g. Amazon & data
create categorisation of consumers
Have the data to combine them with items in categorise you’ve never shopped before
Predict characteristics of what people will like by having an algorithm creating connections with various data
issues with amazon using algorithms
Doesn’t explain consumption behavior → biases created and preserved by algorithm
amazon - behavioral prediction creative vs non-creative goods
Behavioural predictions with creative goods better than non-creative goods
e.g. buying romance book
more informative of preferences than buying double doored fridge
Allows prediction in other domains → why amazon stays in the book industry even though it’s not as profitable
amazon as co-publisher
Get even more revenue
Possible bc of size and influence of amazon
e.g. Rebranding of Scheltema to Polare
Rebirth of independent bookstores
Bookstores as experience
Went out of the merger of bookstores
Taken over by Novamedia → became Polare
Horrible
Almost no cost turning it into an ebook
If e-book too cheap → trouble selling book to stores
Distribution → webpage almost costless
e.g. gaining data for marketing
Elly’s choice
Every month 10 e-books for 2.99
Rebranding → bookchoice
Targeted towards women
Why is Amazon in the Book Industry
Have data access to your purchases
Able to make predictions using creative goods