In my search for examples for a paper, I found:

The context of our analysis is the laundry services industry because it is well suited for analyzing both
vertical integration and social networks. Each store makes two make-or-buy decisions: one for
drycleaning and another for laundry. These are the primary services offered by a store, and whether or
not they are produced in-house can easily be revealed. Furthermore, the industry has long been associated
with ethnic concentration, such that in the southern California region where we focus our analysis,
Koreans currently own more than 2,000 cleaners….

The greater concentration of Koreans in Koreatown and the communication between them suggests
that “word-of-mouth” (or reputation effects) will spread faster within this area. An upstream cleaner
supplying a Korean cleaner in Koreatown recognizes that their conduct can affect their reputation
with their other Korean customers in Koreatown….Therefore, while a network of Korean cleaners outside Koreatown could yield some
network effects, we expect these to be smaller. Our analysis therefore concentrates on the network effects
of Koreatown relative to other small networks of Korean cleaners or the lack of networks.

This is from Gil and Hartmann, Airing Your Dirty Laundry