Author List: Bergen, Mark E.; Kauffman, Robert J.; Lee, Dongwon;
Journal of Management Information Systems, 2005, Volume 22, Issue 2, Page 57-89.
We explore daily patterns of Internet pricing for the two major retailers, Amazon.com and Barnes and Noble (BN). using data on 377 books collected over a 449-day period in 2003-4. We frame this investigation in terms of a key question; How rigid are prices on the Internet? Are there reasons to suggest that prior predictions of more flexible prices on the Internet may not have been founded on the appropriate theoretical knowledge? We find that Internet retailers, in contrast with traditional firms, adjust prices any day of the week throughout the year. Yet firms' price adjustments for books occur much less frequently than daily--every 90 days on average. For most observers of Internet-based selling, this is surprising, because most expect more frequent price adjustments--based on the quality of technological environment that supports price-setting. In fact, our results show that price-change activity appears to vary by book category, from a high of one change, on average, every 61 days for best sellers to a low of one change every 184 days, on average, for steady sellers. In addition, we learned that individual firms exhibited different patterns for their price changes: Amazon changed book prices every 222 days, whereas BN changed its book prices more frequently, every 56 days on average.
Keywords: bookselling; economic analysis; empirical regularities; empirical research; Internet retailing; price rigidity; strategic pricing
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#182 0.205 percent sales average economic growth increasing total using number million percentage evidence analyze approximately does business flow annual book daily
#279 0.183 field work changes new years time change major period year end use past early century half traditional areas established strong
#41 0.169 price prices dispersion spot buying good transaction forward retailers commodity pricing collected premium customers using posted relatively obtain listing uncertainty
#228 0.104 internet peer used access web influence traditional fraud world ecology services impact cases wide home studies addition choice 2008 telephone
#62 0.085 price buyers sellers pricing market prices seller offer goods profits buyer two-sided preferences purchase intermediary traditional marketplace decisions intermediaries selling
#165 0.074 uncertainty contingency integration environmental theory data fit key using model flexibility perspective environment perspectives high conditions processing examine issue uncertain
#168 0.051 firms firm financial services firm's size examine new based result level including results industry important account does suggests characterize limited