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structure does not influence the level of browsing or scrolling of consumers, contrary to our hypothesis.<br />

They do not seem to exert additional cognitive effort to collect information because the structure is more<br />

complex.<br />

Shoppers’ pre-purchase intention is highly and significantly linked to their purchase intentions (H9).<br />

In fact, it is reasonable for a consumer to be involved in the search for information, before buying a<br />

product such as an OTC drug. Moreover, according to the hierarchy-of-effects, PPURI can be considered<br />

as an antecedent of PURI. STR (H2d) and EFF (H3e), two central cues, has a direct impact on PURI. The<br />

more the structure and information content are complex, the more consumers are engaged in seeking<br />

information, the more cognitive efforts they develop. EFF also has an indirect path via PPURI toward<br />

PURI, which is consistent with the hierarchy-of-effects model. ENT, the peripheral cue of the model, has<br />

an indirect impact on PURI through attitude (affective factor) and PPURI, and through INV (cognitive<br />

variable) and PPURI. However, INFO impacts directly PURI through either attitude and EXPB. Finally,<br />

contrary to our hypothesis, EFF did not influence PPURI (H3d). This means that when the information<br />

content is effective, surfers do not have to engage in further information search before developing or not a<br />

purchase intent.<br />

8. Theoretical and Managerial Implications<br />

The main goal of this study was to examine the impact of atmospherics cues concerning<br />

Internet advertising on the behavior of consumers and its impact on purchase intentions. We<br />

defined under the concept of general behavior toward the Web site, several different dimensions.<br />

First, there is an affective variable represented by attitude toward the site. Second, there are<br />

behavioral/cognitive variables (because they are related to information search and acquisition)<br />

such as exploratory behavior and involvement. Finally, there are the outcomes variables, pre-<br />

purchase intentions and purchase intentions. This research also helps provide a better<br />

understanding of Internet consumers’ behavior and findings from the study of this model will be<br />

of interest to behavioral scientists both in retailing and psychology.<br />

The theoretical implications of this research take several forms. First, our study empirically confirmed<br />

several relationships discussed in the prior literature. We found that efficient navigational characteristics<br />

can help develop not only consumers’ involvement and their exploratory behavior (Menon and Kahn,<br />

2002), but also their attitude toward the site (Baronas and Louis, 1988; Regan and Fazio, 1977; Eagly and<br />

Chaiken, 1993; Csikszentmihalyi, 1977). The impact of EFF on INV was also found by Yoon (2000).<br />

According to Okasaki and Rivas 2002, EFF might influence purchase decision (here, purchase intention).<br />

Consistent with Chen et al. (1999, 2002), ENT and INFO are two other but independent dimensions of<br />

ATTI with which they correlate well. In our case, ENT and INFO are significantly related to ATTI (De<br />

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