The Efficiency of Different Search Patterns in Electronic Market

The Efficiency of Different Search Patterns in Electronic Market

Theresa Lauraeus-Niinivaara, Timo Saarinen, Anne Sunikka, Anssi Öörni
Copyright: © 2009 |Pages: 19
DOI: 10.4018/978-1-59904-978-6.ch004
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Electronic markets are expected to facilitate consumer information search and product comparison to the extent that consumers are able to accumulate nearly perfect information. The authors present an analysis of search patterns based on a laboratory experiment on product search processes. They identified three types of search patterns in the experiment: sequential, agent search, and iterative search. They studied the factors affecting the choice and the outcome of agent search pattern compared to the other search patterns. The results show that the employed search pattern has an impact on search cost and the efficiency of search measured with purchase price and the time used for searching. Agent search seems to combine low search costs with high efficiency. Sequential search still emerged as the dominant search pattern even though it leads to the most expensive purchase. Iterative search pattern search pattern.
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Consumer’s pre-purchase information search is an essential part of consumer decision making process (Bettman 1979; Bettman et al. 1990; Engel et al. 1990; Howard and Sheth 1969; Olhavsky 1985, Schmidt and Spreng 1996). In recent years, there have been many studies into consumer search behavior in a digital environment (Chiang 2006, Jansen 2006, Jansen and Pooh 2001, Johnson et al. 2004, Lauraeus-Niinivaara et al. 2007, Lauraeus-Niinivaara et al. 2008, Smith and Spreng 1996, Spink et al. 2005, Öörni 2002, Öörni 2003) in the context of search attributes (Johnson et al. 2004, Smith and Spreng 1996).

Recently, there has been research into internet-based market efficiency (Hogue and Lohse 1999, Wu et al. 2004, Öörni 2003) and search costs (Biswas 2004, Jansen 2006, Wu et al. 2004, Öörni 2003). In a digital environment, consumer information pre-purchase and search behavior might differ from the traditional search behavior (Jansen and Pooh 2001, Johnson et al. 2004, Öörni 2002).

There are nearly 60 factors that have been found to influence the consumer pre-purchase information search (Schmidt and Spreng 1996; Srinivasan and Ratchford 1991). In the past decades, some researchers have modeled the relationships among these 60 factors influencing the consumer search behavior (Kulviwat et al. 2004, Schmidt and Spreng 1996, Srinivasan and Ratchford 1991, Punj and Staelin 1983). Consumer information search has been one of the most enduring literature streams in consumer research (Beatty and Smith 1987). Marketing and consumer behavior researchers have been examining consumer’s pre-purchase information seeking behavior since at least 1917 (Copeland 1917) and even today most consumer information processing and decision making models include pre-purchase information search as one of the key components (Bettman 1979, Bettman et. al 1990, Engel et al. 1990, Howard and Sheth 1969, Olshavsky 1985). The research of consumer behavior in electronic markets and consumer choice of distribution channels is in need of sound theoretical frameworks that enable researchers to integrate electronic markets research with adjacent fields of study.

Consumer search is the main method, besides advertising, for acquiring information necessary for making purchase decisions. Consumers look for products with desired qualities and sellers offering these products at competitive prices in an attempt to decide what, when, and from whom to purchase. Markets are dynamic, which results in information becoming obsolete (Stigler 1961). Changing identity of sellers and buyers, and also fluctuations in supply and demand, result in uncertainty. Identification of prospective products and sellers is often the dominant motive of search. Another, yet related, cause is consumers’ inability to ascertain product quality and seller reliability before the purchase decision (Stigler 1961, Moorthy et. al. 1997, Bakos 1997, Öörni 2003).

Information search precedes many consumer decisions (Newman and Staelin 1971, Bettman et. al 1990, Moorthy et. al. 1997, Punj and Staelin 1983, Beatty and Smith 1987, Smith and Spreng 1996). However, information search is often costly (Stigler 1961, Wu et al. 2004, Öörni 2002). The main cost factor is typically the opportunity cost of the searcher’s time (Wu et al. 2004, Öörni 2003). Search costs depend on consumer’s ability to search, which heavily impacts the pattern of search one can adopt (Öörni 2002).

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