We examine three possible explanations for differences in Internet privacy concerns revealed by national regulation: (1) These differences reflect and are related to differences in cultural values described by other research; (2) these differences reflect differences in Internet experience; or (3) they reflect differences in the desires of political institutions without reflecting underlying differences in privacy preferences. Using a sample of Internet users from 38 countries matched against the Internet population of the United States, we find support for (1) and (2), suggesting the need for localized privacy policies. Privacy concerns decline with Internet experience. Controlling for experience, cultural values were associated with differences in privacy concerns. These cultural differences are mediated by regulatory differences, although new cultural differences emerge when differences in regulation are harmonized. Differences in regulation reflect but also shape country differences. Consumers in countries with sectoral regulation have less desire for more privacy regulation.

This paper examines search across competing e-commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, compact discs (CDs), and air travel services), we show that the amount of online search is actually quite limited. On average, households visit only 1.2 book sites, 1.3 CD sites, and 1.8 travel sites during a typical active month in each category. Using probabilistic models, we characterize search behavior at the individual level in terms of (1) depth of search, (2) dynamics of search, and (3) activity of search. We model an individual's tendency to search as a logarithmic process, finding that shoppers search across very few sites in a given shopping month. We extend the logarithmic model of search to allow for time-varying dynamics that may cause the consumer to evolve and, perhaps, learn to search over time. We find that for two of the three product categories studied, search propensity does not change from month to month. However, in the third product category we find mild evidence of time-varying dynamics, where search decreases over time from already low levels. Finally, we model the level of a household's shopping activity and integrate it into our model of search. The results suggest that more-active online shoppers tend also to search across more sites. This consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the individual level.

Mobile phone applications (“apps”) have generated substantial interest among marketers, primarily because of their high level of user engagement and the positive impact this presumably has on a user's attitude toward the sponsoring brand. This study utilized a pre-test/post-test experimental design to determine whether using popular mobile phone apps affects brand attitude and brand purchase intention. The results show that using these apps has a positive persuasive impact, increasing interest in the brand and also the brand's product category. The relevance of the product category makes no difference, but apps with an informational/user-centered style were more effective at shifting purchase intention, most likely because this style focuses attention on the user, and therefore encourages making personal connections with the brand. Experiential game-like apps were less successful, because they focus attention on the phone. These results suggest that understanding how to maximize the impact of mobile phone apps will be a key topic for future research.

The authors suggest that learning is an important factor in electronic environments and that efficiency resulting from learning can be modeled with the power law of practice. They show that most Web sites can be characterized by decreasing visit times and that generally those sites with the fastest learning curves show the highest rates of purchasing.