Abstract

Option framing effect is the phenomena that participants often accept more options when they are asked to delete undesired options from a full model (subtractive framing) than they do when they are instructed to add desired options to a base model (additive framing). Whether the same effect exists in different age groups is less well known. To explore the roles of age and purchase motivations on the option framing effect for automobiles purchases, this study adopted a 3 (age group: younger, middle-aged, vs. older) × 2 (option framing: additive vs. subtractive) × 2 (focus condition: information vs. emotion) mixed design. To manipulate purchase motivations, participants in the three age groups were instructed to focus on the ratio of utility and price of options (information-focus) or the extent of pleasure induced by the options (emotion-focus) when they made purchase decisions in two framing conditions. The results revealed similar option framing effect across all age groups in the information-focus condition regarding the total price paid for accepted options. In contrast, the framing effect was not found in the emotion-focus condition. In addition, older adults accepted more options and an overall higher price than younger and middle-aged adults in both focus conditions. This difference was more obvious in the emotion-focus condition than in the information-focus condition. Moreover, both the number of accepted options and the total accepted price of the younger group in the information-focus condition were higher than those in the emotion-focus condition, whereas the older and middle-aged groups accepted same number of options and price between two focus conditions. These results imply that purchase motivation is a moderator of the option framing effect and age characteristics linked with motivations must be considered in sales.

Highlights

  • With the development of society and the economy, customers and their needs have grown increasingly diverse

  • This study was a 3 × 2 × 2 design, with the age and focus conditions treated as between-subjects variables and option framing as a within-subjects variable

  • Repeated measures analysis of variance (ANOVA) was conducted on the scores from the ratio of utility and price when participants focused on information.As shown in Table 4, in the information-focus condition, the ratio of utility and price of added options (Mold = 3.85, SD = 0.67; Mmiddle = 4.43, SD = 0.39; Myoung = 3.95, SD = 0.84) was higher than that of all deleted options in each age group (Mold = 2.41, SD = 0.96; Mmiddle = 2.55, SD = 0.47; Myoung = 2.44, SD = 0.79], F(1,82) = 230.85, p < 0.001, η2p = 0.737, and the rating scores in middle-aged group were higher than other two age groups [F(2,82) = 4.06, p < 0.05, η2p = 0.09]

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Summary

Introduction

With the development of society and the economy, customers and their needs have grown increasingly diverse. Park et al (2000) conducted research into automobile customization in order to investigate the framing effect. They employed “additive” and “subtractive” framing techniques to a series of decision tasks. The former framing presented customers with a base model and asked. The more options added, the higher the price. The latter framing presented participants with a fully loaded product and asked them to delete options that they did not want. The results showed that customers tended to choose more options with a higher total option price when they used subtractive rather than additive option framing, a finding that indicates the option framing effect. Framing effects have been found in automobile customization (Biswas and Grau, 2008; Goldstein et al, 2008; Biswas, 2009; Yang, 2010), condominium purchase (Pornpitakpan, 2009), mobile communication services (Jin et al, 2009), package tour services (Jin et al, 2012), and computer warranties (Dong, 2012)

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