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Online web searches have played crucial roles in influencing consumers’ purchasing decisions. Web search traffic information enables researchers and practitioners to better understand consumers in terms of their preferences and interests, among other things. The purpose of this paper is to use web search traffic information provided by Google Trends to derive relationships among product brands as well as those between product brands and product attributes to propose a method to enhance the visibility of consumer brand positioning.,This study builds upon the interesting observation that consumers’ behavior in performing simultaneous searches, or searches including two or more keywords, can be converted into data indicating relationships among brands as well as those between brands and their attributes. The study focuses on the cases of hybrid cars and tablet PCs, and applies a social network analysis method to identify these relationships. Time series information on web search traffic is used because it can track these two product groups from the early stages to the present. This step is completed to verify the changes in the status of each brand and in their relationships that occurred in consumers’ minds over time.,Results show that consumers’ web search behaviors reveal the brand positioning and brand-attribute associations in their minds. Specifically, using consumers’ simultaneous search data, the authors derived relationships among brands (brand-brand network) from consumers’ behaviors of searching simultaneously for two brands and the relationships between brands and attributes (brand-product attributes network) from consumers’ behavior of searching simultaneously for a specific brand and certain product attributes.,Theoretically, this study verifies that consumers’ web search traffic information can be used to microscopically identify the positions of individual brands and their relationships in the minds of consumers. Regarding practical applications, this study proposes a method that can be used by companies to track how consumers perceive their brands by performing a simple and cost-effective analysis using the free search traffic information provided by Google.

Purpose – People can easily track and understand their usage pattern for any content (e.g. movies, games) or service (e.g. card payment, cell phone usage) by using technologies such as the internet and smart phones. When consumers evaluate their past consumption patterns, they may experience two different kinds of regret: content-based or monetary-based. The purpose of this paper is to propose that perceived self-control, defined as the extent to which people believe they can control their usage, plays a moderating role in the tariff-choice process (flatrate vs pay-per-use) for two types of content: vice-based and virtue-based. Design/methodology/approach – Two laboratory experiments were designed to test the hypotheses. There were a total of 200 participants (86 for Experiment 1 and 114 for Experiment 2) who completed the entire experimental process (i.e. stimulus exposure, questionnaire reporting, dependent variable measurement, manipulation of the independent variables, and control checks). Findings – The results of this research provide evidence supporting the role of perceived self-control in tariff preference by showing that preference varies between flat-rate and pay-per-use tariff options. Specifically, virtue-based content users were more likely to prefer the pay-per-use tariff when their perceived self-control was low vs when it was high. In contrast, vice-based content users were more likely to prefer the flat-rate tariff when their perceived self-control was low vs when it was high. Originality/value – There are three contributions of the present research. First, the authors investigated the effect of content type on tariff preference. Second, the authors suggest that there is a moderating effect of perceived self-control on tariff preference. Third, this study revealed the factors affecting consumers’ perceived self-control.

PurposeWith the increasing influence of online consumer reviews (OCRs) on a consumer's decision making, online sellers have begun to embed the OCRs in their advertisements (OEAs). This study has the following two research objectives: first, to investigate the effects of two types of (OCRs vs OEAs) on consumers' purchase intention from an informational influence perspective; second, to investigate the effects of OCRs from a credibility perspective.Design/methodology/approachThe data for this study are obtained from a two‐way factorial experimental research design. The factors included are the type of OCRs and the trust level of online shopping malls. In addition, PLS test is used to understand the underlying effects of trust in online shopping malls, credibility of OCRs/OEAs, and consumers' purchase intentions.FindingsThe results show that OCRs are more influenced by trust in online shopping malls than OEAs. The greater the perceived credibility of OCRs among potential consumers, the higher is the purchase intention. When the trust in online shopping malls is high, consumers' purchase intentions influenced by OCRs are more favorable than those influenced by OEAs.Originality/valueThis study is an initial consumer endorsement research that uses OCRs to extend the trust transfer theory and extends the interpersonal online trust perspective. For practitioners, this study is useful in determining which type of OCRs is useful for marketing, depending on the trust in online shopping malls. Moreover, the results of this study could aid in the development of an e‐commerce strategy using OCRs.