
doi: 10.2307/249641
Information systems can serve as intermediaries between the buyers and the sellers in a vertical market, thus creating an “electronic marketplace. ” A major impact of these electronic market systems is that they typically reduce the search costs buyers must pay to obtain information about the prices and product offerings available in the market. Economic theory suggests that this reduction in search costs plays a major role in determining the implications of these systems for market efficiency and competitive behavior. This article draws on economic models of search and examines how prices, seller profits, and buyer welfare are affected by reducing search costs in commodity and differentiated markets. This reduction results in direct efficiency gains from reduced intermediation costs and in indirect but possibly larger gains in allocational efficiency from better-informed buyers. Because electronic market systems generally reduce buyers’ search costs, they ultimately increase the efficiency of interorganizational transactions, in the process affecting the market power of buyers and sellers. The economic characteristics of electronic marketplaces, in addition to their ability to reduce search costs, create numerous possibilities for the strategic use of these systems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 667 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
