Making Snowflakes Like Stocks: Stretching, Bending, and Positioning to Make Financial Market Analogies Work in Online Advertising
Author(s) -
Vern Glaser,
Peer C. Fiss,
Mark Kennedy
Publication year - 2016
Publication title -
organization science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.96
H-Index - 238
eISSN - 1526-5455
pISSN - 1047-7039
DOI - 10.1287/orsc.2016.1069
Subject(s) - analogy , generative grammar , imperfect , phenomenon , financial market , space (punctuation) , work (physics) , computer science , economics , marketing , business , artificial intelligence , finance , epistemology , engineering , mechanical engineering , linguistics , philosophy , operating system
Analogies to financial markets have proven powerful in establishing novel or potentially controversial business concepts, even in contexts that deviate significantly from financial markets. This phenomenon challenges theory that suggests analogies work best when elements from a source and target domain map closely to each other. To develop a theory that explains how organizations make initially imperfect analogies “work,” we use a case study of online advertising exchanges, a market-inspired model for buying and selling online advertising space. We find that as organizations stretch an initially misfitting exchange analogy from financial markets to online advertising, they iteratively bend their activities in superficial, structural, and generative ways to match the analogy and position themselves for advantage in the new space being created. Whereas prior studies emphasize shared cognition about familiar domains as the reason why analogies work, our study offers a dynamic account in which stretching, bending, and positioning combine to not only establish the financial market analogy but also subtly change the understanding of markets.
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