ISSN : 1738-3110
In the retail management, store location has an important influence like business skills. The reason for failure to selecting location is that the market analysis model is not popular in business field. It gets worse in supermarket industry. Currently, store developers are relying on simple statistics and the sixth sense as market analysis techniques. lt proves that the market analysis model is not distributed well in the field. This market analysis model can apply to medium and small business market using an existing market analysis model, broad market model. And its study outcome can be theorized as a result. Converse's new retail model can be used as to analyze junction market. Pareto_Huff model can also be used to compute shopping probability. To do so, this study can be divided into walking distance market and driving distance market as a model market. Also it examines industry type such as SM and SSM. By taking consumer survey, condition of consumers to select store will be counted in shopping probability so that it improves the objectivity and reliability. Through this process, derived study outcome can be a new estimated revenue model for practical application of selecting store location in large and medium-sized supermarket.
This paper examines an augmented technology acceptance model, which includes perceived interaction as a mediator in the relationships between the technology acceptance model (perceived ease of use, perceived usefulness) and student satisfaction in online classes, and its impact on student satisfaction. Data has been collected from 842 undergraduate students in online universities. The data is analyzed by using factor analysis and structural equation modeling techniques. The results demonstrate that perceived ease of use, perceived usefulness, and perceived interaction serve as predictors for student satisfaction in online classes. Perceived usefulness has a positive relationship with perceived interaction while perceived ease of use has no effect on interaction.
With the proliferation of electronic commerce, online transactions have become a norm. Its enormous potential, however, can be truly realized if consumers feel comfortable facing invisible sellers over the Internet, a virtual business channel. Trust has been identified as a key component in many e-Commerce studies. The purpose of this study is to find out which factors play a major role in building buyer trust and how the build-up trust affects buyer's purchase intention in online used car transactions. Based on the information asymmetry, TAM (Technology Acceptance Model), and the trust theory, our research model includes factors such as a buyer's propensity-to-trust, institutional characteristics (inspection and warranty policy), word-of-mouth referral, perceived size, and perceived benefits as independent variables. The model also includes trust as a mediate variable, purchase intention as a dependent variable, and perceived quality risk as a moderate variable. The research model is tested by analyzing 448 sample data gathered from used car websites. The result shows that the trust has significant effects on the online purchase intention, and institutional characteristics have been identified as one of the most significant factors for trust building in used car websites. For those who perceive quality risk high, actual purchasing behavior occurs only when they have trust on the used car websites, indicating that trust plays a vital role as a mediate variable. This study suggests that buyer trust on the used car websites is important to increase buyer's online purchase behavior.
The main purpose of this study is to define relevant factors that influence successful start-ups and management innovations of traditional markets from the point of market structures and relations. To do this, we devide an entrepreneurship of merchant into two factors, risk taking and managerial experience and choose product planning and its implementation to see merchandising of traditional markets. In this study we identify that several factors we chose are contributing to generating management performances through market promotional parameters. Also we confirm that image factors of traditional markets is consist of awareness and value of markets, and that these factors shows some sequential and continual patterns in the course of generating performances. In additions, it is identified that four independent factors have positive effects to star-up success; risk taking 0.29(t 2.61), managerial experience 0.04(t 1.79), merchandising implementation 0.374(t 2.61), market value 0.47(t 5.25), market awareness 0.22(t 2.30). This study can help merchants of traditional markets to make and change their market strategies, restructure their businesses and survive in the field. This also provide some ideas and guidances to relevant government agencies in formulating traditional market policies.
This study examines internationalization determinant factors, motivation and goal of internalization, market entry methods, timing, region, internalization strategy and access method, internationalization performance and success factors, problems and troubles of internalization, and ultimately suggests internalization strategies for domestic venture companies. The study found that interior factors of internationalization determinant factors are characteristics of new firm and technological capabilities while exterior factors include narrow domestic market, industrialization level, competition level, product life cycle, economy of scale, and global network. Motivation was found to include securing and preoccupying market, cost reduction and efficient production through moving of production base, and the necessity of network formation.