2. Coke and Pepsi and Their Bottlers
Changing relationship
used only bottling distributors
Over the last two decades, buying or taking stakes in their bottlers
1) own about half their bottling distributors
2) hold stakes in about twenty percent of the remaining independent
bottlers.
What caused Coke and Pepsi to begin to internalize bottling and
distributing?
What effects this change has on the market.
Historical structural analysis
Changing technology, marketing, and marketplace
advantageous to internalize what was formerly efficiently externalized
transaction cost theory serves as a powerful explanatory and predictive
mechanism
3. Theoretical Concepts
synthesizing differing historical/economic/structural approaches into one
understanding how transaction cost analysis specifically interacts with
market attributes
two historical/transaction cost frameworks and contrast them.
Their claim
When Coke and Pepsi began their bottling operations.
contracted with their bottlers
bottlers had right to distribute the companies drinks in a certain area
invest in company specific assets and develop complex distribution
networks
as well as invest/cooperate in advertising and marketing efforts.
4. Three Decades Later
The situation has changed over the last 30 years
changing structure of the market prompted a change in the firm and in
strategy
the size and complexity of transactions began to change
rise of supermarkets such as Wall-Mart and fast-food chains
Marketing and media campaigns required national coordination and quick
response and cooperation.
The need for the above coordination has led to a concentration of bottlers
Final Argument: soft drink industry bought 50 percent of bottling companies
Took part control of about 20 percent of the remaining ones.
Externalizing bottling and distribution no longer makes sense
5. The Use of Data
Data: largely archives and sources such as the Nielsen Scantrack database
What did they do?
Extensive use of logarithmic models to generate tables of numbers.
Not powerful enough
Use of odd codes and near inscrutable acronyms
More powerful for analytical argument about transaction costs than on hard
data.
Most powerful when predicting the effects of internalizing bottling on the
market prices.
6. The Use of Data
Data: largely archives and sources such as the Nielsen Scantrack database
What did they do?
Extensive use of logarithmic models to generate tables of numbers.
Not powerful enough
Use of odd codes and near inscrutable acronyms
More powerful for analytical argument about transaction costs than on hard
data.
Most powerful when predicting the effects of internalizing bottling on the
market prices.