• Journal of Fashion Business
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• v.18 no.2
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• pp.80-94
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• 2014

The utilization of QR code for mobile marketing in fashion business has been receiving growing attention with the increasing smart phone users and wireless internet environment. The purpose of this study was to investigate the effects of utilizing QR code for mobile marketing on consumer's purchasing intention based upon TAM model. This research was conducted by questionnaire method, in which the questionnaire was distributed to the consumers in Seoul. Among the questionnaire returned from the consumers, 196 were selected to be included in the analysis by developing descriptive statistics, factor analysis, cronbach's alpha, and regression analysis using SPSS15.0. The results of this study were as follows: There was a significant effect of QR code characteristics such as usability, mobility, aesthetics of design on perceived ease of use. The factors of individuality, interactivity, and aesthetics of design significantly affected on the perceived usefulness of QR code. The ease of use and usefulness significantly affected the consumers' enjoyment which positively affected on purchasing intention.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.215-229
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• 2013

The purpose of this research is to identify what factors influence a customer satisfaction and re-purchasing intention and to identify if customer's Intentions are different between a mobile shopping mall and Internet Shopping mall. To perform empirical analysis for the mobile shopping mall, this research reapplied the factors of Parasuraman et al.[77] in a Internet shopping mall, including reliability, reactivity, tangibility, and this research also applied the factors of a mobile properties, including ubiquity, localization, instant connectivity. The empirical results of this research indicate that all hypotheses in our model are significant; However, the factors of a mobile properties negatively. The results of a analysis indicate that the mobile properties in a mobile shopping mall are not significant yet. and customer's recognition in both mobile shopping mall and Internet shopping mall are the similarity. In Conclusion, with the rapid growth of the Mobile Shopping mall market, many mobile shopping mall researches based on customer's Intentions must be published. Therefore, this research will be the foundation of these researches.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.1-10
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• 2012

Supplier selection is an essential task within the purchasing function of supply chain management because it provides companies with opportunities to reduce various costs and realize stable and reliable production. However, many companies find it difficult to determine which suppliers should be targeted as each of them has varying strengths and weaknesses in performance which require careful screening by the purchaser. Moreover, information required to assess suppliers is not known precisely and typically fuzzy in nature. In this paper, therefore, fuzzy multi-objective linear programming (fuzzy MOLP) is presented under fuzzy goals: cost minimization, service level maximization and purchasing risk. To solve the problem, we introduce an enhanced two-phase approach of fuzzy linear programming for the supplier selection. In formulated problem, Analytical Hierarchy Process (AHP) is used to determine the weights of criteria, and Taguchi Loss Function is employed to quantify purchasing risk. Finally, we provide a set of alternative solution which enables decision maker (DM) to select the best compromise solution based on his/her preference. Numerical experiment is provided to demonstrate our approach.

• Spatial Information Research
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• v.18 no.2
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• pp.67-75
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• 2010

When people are shopping at a large shopping mall, they usually become to go around many stores for looking for better products and comparing them. In this paper, we design and implement a purchasing activity support system based on an Ambient Service Model that provides relevant stores information on map interface hierarchically through user contexts based search, to support such user's purchasing activities with the help of relevant information. In this system, users can search for relevant stores information through the system by Ambient Query which is created by their location and stores information with a mobile device. Then, users obtain relevant stores information provided in the form of hierarchy of keywords as a highly condensed summary and easily figure out the locations of the stores on a map interface. Moreover, users search additional other kinds of relevant stores information over the hierarchy of keywords. Eventually, users can obtain relevant stores information intuitively and conveniently without complex search processes. We implemented this system by integrating the subordinate technologies such as RFID, map-based, location-based and ontology technology. We also performed experiments on a well-known shopping region (Ilsan Lapesta shopping mall, Goyang-city Gyeonggi-do, Korea). Finally, we also confirmed that users' shopping activities were significantly improved by utility the present system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.207-214
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• 2014

Recently, smartphone spyware resembles various types of virus components in PCs and has trends getting more and more severe. Users do not perceive the risk factors severely even if smartphone security is very vulnerable in spite of the smartphone spyware growth. Thus, this study observes the influence of information security in selecting smartphone based on the personal inclinations and spyware perceptions. The main variables of study model are such as the degree of personal risk-accepting and the risk of smartphone spyware as independent variables and smartphone purchasing intention as a dependent variable. The model is tested using SPSS 21 packages on the effective 200 samples gathered through questionnaire survey on the present smartphone users. As a result, the two main hypotheses which are "the degree of personal risk-accepting will influence on the perceiving risk of smartphone spyware" and "the perceiving risk of smartphone spyware will influence on smartphone purchasing intention" were significant statistically. Therefore, we could find out information security's influence on the selecting smartphone.

• International Commerce and Information Review
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• v.17 no.2
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• pp.95-120
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• 2015

Under the stiff competition in the health care industry, the long run survival of medical institution depends on building up customer loyalty. The purpose of this study is to figure out the influencing factors on customer loyalty. This new model is based on Bettman(1979)'s customer purchasing decision making process(awareness-interest-final decision). The key characteristics of this model reflects the psychological change of customer purchasing decision The influencing factor at each purchasing stage must need to be identified because the inner decision making process is generally carried out by multistage. In this respect, this study shows the brand awareness of hospital plays an important role at the first stage. In a second stage, the servciescape and service quality of hospital must be considered. Finally, customer's perceived value is adopted. By using a sample of 116 Chinese tourists, this study empirically examines the influencing factors of customer loyalty. The results that the brand awareness and perceived value have a positive effect on customer loyalty.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.6
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• pp.153-161
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• 2014

This study is to contribute to the policy decision of cosmetic industry through analyzing marketing mix factors which affects customers' buying intention. For this study, marketing mix factors that impact on cosmetic customers purchasing intention were collected and chi-square independence analysis of SPSS and qualitative analysis technology of Kano & Timko were used. Analysis reached one conclusion, which factors were maximizing customers satisfaction, shows the price discount policy and recommendation from family and colleague. Product's effectiveness, usefulness and skin compatibility were rated as an one-dimensional quality as those factors were linearly affected when customers needs were satisfied. However product's containers, package design, colors, brand reputation, low and middle price, distribution channel and advertising medias were investigated as an indifferent quality and they were rated as low satisfaction/dissatisfaction coefficient of Timko. Therefore they do not need to invest to those factors too much budget for attaining customers' buying intention.

• Journal of the Korean Society for Railway
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• v.7 no.2
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• pp.155-162
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• 2004

In order to account for a price variation of apartment that places near a newly constructed subway station, a spatial hedonic model was developed to examine spacial characteristics that affect a purchasing price of an apartment using a White Estimator. In particular, the paper aims to examine various effects of subway 7 construction on an apartment price in Seoul Metropolitan Area. As explanatory variables, an apartment size, distance to a closest subway station, distance to the Central Business District (CBD) of Seoul, the number of years after building, and a lagged variable of the apartment purchasing price were used. The lagged variable plays a role of representing a spatial weighted average of previous prices of other apartments that locate within 3 km from the apartment. For a precise study, an entire sample was divided into two sets, southern area and southwestern area of Seoul, and two different spatial hedonic models were estimated. Not only before and after analysis, but also with and without analysis were conducted to compare with different effects of the spatial characteristics of two areas. The results show that before the construction of the subway 7, the prices of the apartments in the southern area were more sensitive to the apartment size, the distance to a closest subway station, the distance to the CBD, and the prices of the other apartments locating within 3km rather than those in the southwestern area. After the construction, on contrast, it is found that the apartment purchasing prices in the southwestern area are more sensitive than those in the southern area due to people's expectation regarding a new development around the subway station. In addition, the prices of the apartments locating closely with a transfer station are more likely to go up by increase in the apartment size, the distance to the station, and the prices of the other apartments within 3 km. Compared with the negative effects of the distance to the station on the prices in the other models, the positive effect of the distance to the transfer station might be caused by the characteristics of commercial area in which people are not likely to live.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1129-1143
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• 2009

This paper proposes a recommendation system (Association Rule System for Targeting) which considers target which is not considered by previous Logistic Regression system, and proves that the efficiency of the recommendation system is better than that of the current and previous Apriori algorithm system. Also this study shows that the click and purchasing rate of the proposed Association Rule System for Targeting is much higher than those of current Apriori algorithm system after the purchasing campaign even though the open rate of the former is lower than that of the latter. In comparison with Logistic Regression methodology, this paper proves with experimental data that the purchasing effect of the proposed system for specific items is much higher in accuracy than that of current Apriori algorithm system even though the purchasing rate of current Apriori algorithm system is higher in whole shopping malls than that of the proposed Association Rule System for Targeting.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.153-168
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• 2011

This study investigated the relationship between consumers' knowledge and risk perception towards purchase intention of organic food. The data were collected from a sample of 311 housewives in Seoul and Ulsan. A structural equation modelling technique was used to test the causal model. The results indicated that subjective knowledge was significantly associated with purchasing organic food. Objective knowledge, in contrast, was only indirectly associated with purchasing organic food, through increased subjective knowledge and risk perception towards purchasing organic food. Risk perception towards organic food had a direct positive and relatively strong relationship with purchasing organic food. Implications of the results and limitations of the study were discussed.