A THEORETICAL MODEL OF THE TOO-MUCH-CHOICE EFFECT

서지정보

ㆍ발행기관 : 글로벌지식마케팅경영학회(GFMC) ㆍ수록지정보 : Global Marketing Conference
ㆍ저자명 : Tracie (Tsun-Yin) Tung, Leslie Davis Burns

영어 초록

In line with the significant impact of information overwhelming on consumer behavior, the study conducted by Iyengar and Lepper (2000) showed that information overload could merely happen while being presented by too much choice, which is also referred as the phenomenon of “choice overload.” In contrast to the classic economic and psychological theories that the more choice, the better, their field observation and lab experiment concluded the finding that having more choice may be demotivating. Through the classic jam study of theirs, which was conducted in an upscale grocery store, they found that while displaying 24 different exotic jams at the sample booth (the large choice set) in the store, only three percent of the sampling shoppers actually purchased one of the jams. However, 30 percent of the sampling shoppers purchased one of the jams during the display of six jam samples (the small choice set). The too-much-choice effect was observed not only in the supermarket but also in an educational context. While providing six versus 30 essay topics to students, the quality of essays was found to be significantly better in the limited-choice (6) condition than in the extensive-choice (30) condition. In marketing practices, marketers tend to provide abundant alternatives to consumers because it increases the likelihood to match different needs and interests of various consumers (Haynes, 2009). However, researchers have noticed that providing extensive choice could result in negative consequences such as making one dissatisfied and unconfident with the choice or defer the decision. Although many empirical studies have shown that the too-much-choice effect occurs in different contexts (e.g. charity donation, prize drawing, and essay topics) or with various product categories (e.g. mp3 players, pens, and chocolates), it has not been consistently observed. Scheibehenne, Greifeneder, and Todd (2009) did not find the statistically significant relation between the size of choice sets (small vs. large) and the percentage of the participants who made a choice in the restaurant-picking task and charity donation task. To better understand the too-much-choice effect, thus, the purpose of this study is to develop a holistic and theoretical model of the too-much-choice effect inductively based on empirical findings. To date, most of the studies that have been conducted focus on experimental examinations, which are essential building blocks for theory development. However, experimental findings only provide fragmentary explanations about the phenomenon. By assembling the pieces derived from those segments, therefore, the too-much-choice effect is treated as a continuum, which may better explain under what situation the effect is more likely to appear and what consequences it may result in.

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