This study samples the content of posts of display-related information posted on social networking services to clarify the in-store display requirements that influence the strength of response by SNS users. The data was found using the submission history of “Minrepo,” a social networking service used for marketing research by DOCOMO Insight Marketing, Inc. In this analysis, we presented the theme “please show us displays you thought were interesting on streets or in shop windows,” and gathered posts relating to this subject in content. The theme was presented for two weeks in June and July 2015 respectively, with 91 posts gathered. These explanatory variables, which were related to the format of the comment and the photographic content (display theme), and acquisition number of “likes” were clarified using a regression model of explained variables, which in this case was Poisson regression modeling (de Vries, Gensler, & Leeflang, 2012) assuming distribution of Poisson. As a result of the analysis, the following were established as comments that easily elicited a sympathetic response and are exhibit requirements of the displays: (1) In terms of comment format, “attaching lots of photographs,” “including exclamation marks,” and “including a mixture of both negative and positive comments” easily elicited a sympathetic response from the reader, (2) in terms of the content of attached photographs, exhibits with the keywords “season,” “mass display,” “fresh foods,” “character,” “sweets,” “variety,” and “local foods” similarly gained a sympathetic response, while (3) on the other hand, the standard shelving and mass display just of packaged foods as well as specialized exhibits of particular products were not popular. These findings suggest the following two points: (1) it is possible that pre-existing forms of special displays (the mass display of specific products) will not suffice to make a product more than something that is just bought and into a topic of news, (2) while it is obvious for most retailers selling packaged foods, manufacturers and wholesalers offering products and supporting exhibits within stores, should also try to make instore displays that takes the above mentioned contents into account.

The online store attributes acts as an important trigger for e-impulse buying. Purchasing apparel products are often affected by irrational and emotional attraction making them one of the most frequent impulsively purchased items online. Triggered by ease access to products, easy purchasing, lack of social pressures and absence of delivery efforts, impulse buying occurs in approximately forty percent of all online expenditures. Impulse buying occurs when consumers experience an urge to buy a product, without thoughtful consideration why and for what reason one needs the product. However, few efforts have been made to identify the relationship among-store services attributes, emotions, browsing, urges to buy, and e-impulse buying of apparel products. The objectives of this study was to estimate a path model analysis for causative relationship among e-store service attributes, emotions, browsing, urges to buy, and e-impulse of apparel products. The instrument was developed based on the previous literatures (Park, et al., 2012; Verhagen & Dolen, 2011; Yang & Peterson, 2004)and each item was measured by five-point Liker type scales. A total of 250 data were collected during a regularly scheduled class in universities. More than half of the respondents (65.5%) were 18 to 21 years old. Nearly 65.5 percent of the subjects were women, and more than half of the respondents (63.8%) were below the sophomore. The path model analysis was conducted by AMOS 18.0 using a correlation matrix with maximum likelihood approach. An exploratory factor analysis revealed three types of e-store service attributes: Accuracy, Reliability, and Ease of use. The path model, which was estimated to examine causal relationships among variables (i.e. three types of e-store service attributes, emotions, browsing, urges to buy, and e-impulse buying), was relatively acceptable (chi-square value = 34.40, df = 13, p = .001; GFI = .98, AGFI = .93, RMR = .03). Cronbach's alphas were ranged between .83 and .87. This result suggests that emotions (e.g., positive and negative), browsing and urges to buy perceived by shoppers play important roles as mediators of the e-impulse buying of apparel products. Especially, the urge to buy apparel products was the most important mediator to trigger e-impulse buying. The consumers perceived the accuracy and reliability of e-store attributes were the more perceiving the urges to buy apparel products through the more positive emotions and then the more browsing at e-store. Also, the more ease to use of e-store perceived the more urges to buy apparel products. The more perceiving urges to buy at e-store were the more e-impulse buying of apparel products. This study provides retail managerial implications for stimulating e-shoppers' impulse buying of apparel products.

Prior research has investigated the consumer effects of cash and card payments in service settings, but the growing trend of innovative payment with a mobile device hasn’t been considered in the literature so fare. This article represents one of the first studies that considers the adoption of mobile as a new payment method and investigate how the ‘checkout’ phase affect the shoppers’ overall price image of retail stores (OSPI). Results from our studies show that the ‘checkout’ phase is the ‘moment of truth’ for shoppers judging OSPI. We investigate the effects of cash, card, and mobile payments and show that the less transparent a payment method, the lower OSPI judgments of shoppers. In particular, favorable comparisons of basket prices to shoppers’ mental budgets trigger lower store price perceptions. Subsequently, these results have major implications for retailers aiming to lower their OSPI in customers’ minds.