The purpose of this study is to investigate the mediating effect of trust when a media broadcaster (such as a disc jockey [DJ]) acting as an information source and the content they provide during live commerce streaming affect acceptance intention. Live commerce is increasing rapidly, offering a new fashion distribution channel by supplementing possible shortcomings of existing online shopping. Data was collected for the empirical study from female consumers in their 20s who actively accepted fashion technology. Statistical analysis of the data was conducted using IBM SPSS Macro Process 3.5. First, the reliability and validity of the variables for information source characteristics, content informativeness, trust, and acceptance intention were verified, and each variable was confirmed as a single factor. Bootstrap analysis was performed using Macro Process Model 4 to reveal the effects of information source characteristics and content informativeness on acceptance intention. As a result of analyzing the mediating effect for each path model with trust as a parameter, it was found that both the direct and indirect effects of the mediating path were significant. This result means that the characteristics of information sources and content informativeness are partially mediated by trust. Therefore, to promote consumer behavior in a live commerce shopping environment, it is necessary to enhance trust. This can be achieved by a media broadcaster with fashion expertise to increase the perception of the attractiveness of the information source and to improve the usefulness of the fashion information being delivered.

The expertise, trustworthiness and attractiveness of the information source all positively influence information recipients’ eWOM (Electronic Word-of-Mouth), acceptance of CSR messages, as well as their attitudes to the company.

The study examines the role of blogs as a source of information about products and services to consumers. A pre-designed questionnaire was used to collect the primary data (experiences) from the respondents. Data was collected from 190 respondents residing in and around the Emirates of Sharjah and Dubai of the United Arab Emirates. The collected data was analyzed with the help of statistical tools such as averages, percentages, factor analysis, Student’s t-test and Structural Equation model. The objectives of this study were to know; · The reasons why consumers of products and services are motivated to use blogs as a source of information, · whether the consumers of products and services share their views and experiences with other bloggers and · The respondents’ future intentions towards blogging. The study revealed the following: § A majority of respondents have the motivation to blog because they are willing to receive comments on what they post about services. § The blogs were convenient to search for information about services and products. § Respondents share information through blogging. For example, they may discuss the symptoms of a disease/-disorder experienced by someone, share information about ready to cook mix products and show keen interest in spending more time blogging in the future.

The purpose of this study was to investigate the status of domestic and foreign power blogs that serve as professional source of information and to clarify the difference of the criteria for the certification and selection of power blogs. The study also analyzed the configuration of contents and the characteristic of categories of the power blogs. Eleven domestic blogs were examined, of which ten were certified as power blogs on several portal sites and one blog was operating in English. Furthermore twelve foreign blogs were examined, of which ten blogs were selected from the graded list of www.alexa.com for the Fashion Power Blog TOP 20 adopted on www.telegraph.co.uk in 2009, and two noticeable blogs were selected additionally. Data were analyzed by both theoretical and exploratory studies. The exploratory study was conducted by fourteen majors, who took interest in the blogs and were divided into two groups to look at the domestic and foreign sites, from 12 October to 12 November in 2010. The types of blogs were classified by frequency analysis of interactivity, interest provision, information provision and purchase capability. The investigators checked the type of the contents of each blog and the frequencies were used for the classification type. The analysis showed that the frequencies were in the order of information provision, followed by interest provision, and purchase capability for foreign blogs, while interest provision was followed by information provision for domestic blogs. Interactivity, interest provision, information provision and purchase capability were generally reflected in foreign blogs. Rather than interest provision and information provision, however, interactivity and purchase capability were reflected relatively weakly in domestic blogs.

Fuzzy information representation of multi-source spatial data is applied to landslide hazard mapping. Information representation based on frequency ratio and non-parametric density estimation is used to construct fuzzy membership functions. Of particular interest is the representation of continuous data for preventing loss of information. The non-parametric density estimation method applied here is a Parzen window estimation that can directly use continuous data without any categorization procedure. The effect of the new continuous data representation method on the final integrated result is evaluated by a validation procedure. To illustrate the proposed scheme, a case study from Jangheung, Korea for landslide hazard mapping is presented. Analysis of the results indicates that the proposed methodology considerably improves prediction capabilities, as compared with the case in traditional continuous data representation.

Recently, spatial data integration for geoscientific application has been regarded as an important task of various geoscientific applications of GIS. Although much research has been reported in the literature, quantitative assessment of the spatial interrelationship between input data layers and an integrated layer has not been considered fully and is in the development stage. Regarding this matter, we propose here, methodologies that account for the spatial interrelationship and spatial patterns in the spatial integration task, namely a multi-buffer zone analysis and a statistical analysis based on a contingency table. The main part of our work, the multi-buffer zone analysis, was addressed and applied to reveal the spatial pattern around geological source primitives and statistical analysis was performed to extract information for the assessment of an integrated layer. Mineral potential mapping using multi-source geoscience data sets from Ogdong in Korea was applied to illustrate application of this methodology.