• Title/Summary/Keyword: 쇼핑정보

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A Survey on Intake of Protein Supplement of University Students Majoring in Physical Education (체육교육전공 대학생들의 단백질 보충제 섭취실태)

  • Lee, Jooeun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.43 no.10
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    • pp.1607-1613
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    • 2014
  • The purpose of this study was to investigate intake of protein supplements by university students majoring in physical education. Intake experience rate, reasons for intake, purchasing place, effectiveness, satisfaction level, and side effects were analyzed using a questionnaire. Of 476 students, those who consumed protein supplements were 198 (41.6%). Male's intake experience rate was significantly higher than that of females, and members of health-related clubs also consumed more protein than non-members. The main purchasing place was internet shopping malls, and users obtained information from their friends or upperclassmen. The most frequently consumed protein supplement was 'WPH', and the most frequent reason for intake was 'building muscle or maintaining body shape'. For effectiveness, 'normal' was 49.0% and 'effectiveness' was 33.3%. For satisfaction, 'satisfaction' was 45.5% and 'normal' was 43.4%. The rate of side effects was 44.9%, and digestive issues such as diarrhea and indigestion were observed with high frequency. The results of this study show that education is needed for nutritional knowledge, adequate intake, and side effects of protein supplements.

Empirical Analysis of Consumer Behavior on the Internet Shopping Mall Choice from the Schema Perspective: Comparison Between Bricks & Clicks and Pure-Player Shopping Mall (스키마 관점에서 살펴본 인터넷 쇼핑몰 선택에 대한 소비자행동의 이해: Bricks & Clicks와 Pure-Player 인터넷 쇼핑몰 비교를 중심으로)

  • Chung, Nam-Ho;Lee, Kun-Chang
    • Asia pacific journal of information systems
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    • v.17 no.4
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    • pp.165-186
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    • 2007
  • With the advent of a wide variety of Internet shopping malls, consumers can choose a best appealing shopping mall from among the Bricks-and-Clicks and Pure-Player malls. Pure-Players launched their operation grandiosely with the early stage of Internet use in 1995. However, after the burst of Dot-com company bubbles in 1997, Pure-Players introduce various types of business models to meet potential needs of consumers. While Pure-Players suffer skeptical views from market analysts as well as consumers, traditional offline companies learned important lessons from Dot-com companies collapse phenomena, and expanded their business channels into online in the name of Bricks-and-Clicks. Nowadays, Bricks-and-Clicks successfully establish in the market as one of reliable business partners among consumers. Therefore, it is no surprise that recent competitions between Bricks-and Clicks and Pure-Players become fiercer than ever to attract potential customers to their websites. In this situation, consumers can choose a shopping mall to their best satisfaction. Consumers can enjoy both offline and online options for shopping because Bricks-and Clicks provide both offline and online channels to consumers, which is compared with Pure-Players offering only online channel. Offline channel is unique in providing consumers with chances to touch and feel target products and services. Meanwhile, online channel is considered very viable and convenient shopping options for consumers. In this respect, it is easily assumed that consumers will show different online shopping behavior when they have to choose either Bricks-and-Clicks mall or Pure-Player mall for the sake of shopping. Remaining research issue in this case is how much consumers' schema would influence online shopping behavior between Bricks-and-Clicks and Pure-Players. Basically, schema is a framework for synthetic information recognition that individual consumers have and is very characteristic in that it focuses not on fragmentary facts but on the combination of various causes affecting results. Consumers' schema is closely represented by trust, structural assurance, and perceived relative advantage towards a specific type of shopping mall. In literature, there exist a lot of studies comparing Bricks-and-Clicks and Pure-Players. However, there is no study to pursue the analysis of consumer behaviors comparing Bricks-and Clicks and Pure-Players from the schema perspective. Therefore, this study aims to investigate this research gap. Empirical analysis is adopted by garnering valid questionnaires from 514 Internet shopping mall users. 237 were mainly using Bricks-and-Clicks for shopping, while 277 were found to visit Pure-Players for shopping. PLS was applied to analyze the survey data to verify the proposed research hypotheses. Findings from the empirical test results are as follows. First, consumers perceive more trust and relative advantage in Pure-Players, comparing with Bricks-and-Clicks. This result is against widely-accepted perception that Bricks-and-Clicks would be perceived by consumers as more trustworthy and relatively advantageous because they have offline reputation and stores. Therefore, it becomes more obvious that Internet is becoming daily necessaries, and consumers increasingly feel very comfortable in using the Internet for their own personal purposes. Second, consumers have firm faith in transaction safety, regardless Bricks-and-Clicks and Pure-Players. This seems due to the fact that most of shopping malls showing dubious transaction safety have no place in the market. In a nutshell, empirical results tell us that Pure-Players will grow very much in the future, to the extent that consumers perceive no difference in comparison with Bricks-and-Clicks. Besides, consumers' schema accumulated through trust and perceived relative advantage plays crucial role in determining consumer behavior.

The effects of the gender and situations on purchase intention (사회심리적 성(gender)과 상황이 구매의도에 미치는 영향)

  • Suh, Mun-Shik;Kim, Dae-Yong;Rho, Tae-Seok
    • Management & Information Systems Review
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    • v.31 no.4
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    • pp.167-195
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    • 2012
  • This study focuses on the characteristic of socio-psychological gender of a consumer except a biological gender. Socio-psychological gender is the self-image of a consumer which is related to the gender role. The goal of this study is, first, to examine if socio-psychological gender has more effect on the purchase intention than biological gender. Second, by classifying a group with femininity among socio-psychological gender, it is to examine what kinds of shopping value it aims at. Finally, it is to examine the difference between men and women from the purchase intention according to the circumstances. The result of this study is summarized as follows. First, a consumer can have both characteristics of biological gender and socio-psychological gender. There are masculinity, femininity, bisexuality, and undifferentiated type for the classification of socio-psychological gender. This study shows that there is relatively much bisexuality which has masculinity and femininity at the same time. The outcome showed that the purchase intention was higher for the product which corresponds to socio-psychological gender of a consumer than biological gender. Second, it indicated that a group with femininity pursued pleasurable shopping as compared to a group with masculinity. By contrast, it showed that a group with masculinity aimed at practical shopping more greatly. Finally, it showed that while women are less sensitive to the purchase intention at the male-dominated circumstances, men's purchase intention get lower at the female-dominated circumstances.

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A comparative study between Korea and the USA on the development process in retail trade & its changing locations (소매업의 발달과정과 입지 변화에 관한 한.미 비교 연구)

  • Jeon, Kyung-Sook
    • Journal of the Korean association of regional geographers
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    • v.6 no.2
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    • pp.21-40
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    • 2000
  • The retail trades in many countries have changed recently according to the high quality, diversification, and marked individuality of consumer needs. Under the continually competing system of the WTO agreement, corporations based in the USA and the EU try to raise their market share in other countries so it is inevitable for Korean retail enterprises to compete with them. This paper is aimed at contributing to the efficient growth for Korean retail trade from the analysis of the development process in retail trade and its changing locations comparing Korea and the USA. Retailers in the USA have practiced diversified marketing strategies considerably in order to survive in a rapidly changing retailing environment. American retailing, which has the most advanced marketing system in the world, has been of growing concern to marketing strategies in Korea. The following is a brief summary of this study. 1. Speedy and higher quality consumption is needed in accordance with the great increase in the single-family household and the female labor force participation both in Korea and in the USA. Senior citizens have become a new consumer group due to the aging population. In the future the retail trade will switch over to diversified retail formats and internet shopping as countries are transformed into information and communication societies. 2. In Korea, the former retail system characterized by markets and department stores has been greatly changed since the late 1980s with emphasis on high quality and convenience in consumption behaviors, with large domestic enterprises and foreign distribution corporations participating in Korean retailing. In the USA, retailing mergers and takeovers by major retails, bankruptcies, and extra-large shopping centers have emerged since the late 1980s. Recently, the USA retailing formats have been changed from the lower price-oriented discount types to the large scale theme parks. Much emphasis was put on entertainment, resorts, and convention centers. On the other hand, non-store types, such as the internet shopping, the CATV shopping, as well as catalog and mail-order sales are drastically increasing, although the proportion of their sales is low up to now. 3. In Korea, most of the retail facilities are concentrated in Seoul and the Metropolitan Region, and the distribution ratio of facilities came to 52% in 1997. The periodic markets, traditional markets which open on a periodic basis, are located mainly in Chollanam-do and Kyungsangbuk-do. The large-sized discount stores have expanded their locations to the over-crowded apartment complexes in new towns, located in the Metropolitan Region, and the large provincial cities, unlike the suburban locations in the USA. Therefore we needed to give attention to the locational relations in retail facilities between Seoul & the Metropolitan Region and rural settlement areas. In the USA, urban areas grew quickly with the development of the automobile in the 1920s, and the location of stores changed from a dispersed style centering around rural areas to a centralized one in urban areas. There is an accelerated growth for suburban areas, which have grown rapidly since 1950. As the membership warehouse clubs were introduced in the 1970s, the decentralization of location was more intensified. On the other hand, inner cities were revitalized by rearranging existing facilities to cope with suburban areas. And the location-free virtual retailing & TV shopping are also growing every year. 4. In view of the above, the continuous and desirable development devices in Korean retail trade are summarized as follows: First, the countermeasures against economies of scale, increase in retailing sales, and rise of a employment percentage in retailing are in need. Second, a scheme of lowering the proportion of food retail sales, and increasing a ratio of durable goods sales need to be worked out. Third, the original ideas are needed to apply positively information, communication and technology to retailing, to graft the traditional types on modem ones based on the social culture. Fourth, strategies are needed to strengthen the competitiveness of our retail trade through cooperation and chains of smaller retailers, the large enterprises participating in the distribution industry. Fifth, in order to realize the above, the retail industry, the administration, and the academic world should support the retail segment with concern and a practical strategy plan.

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The Effect of Consumption Value and Consumers' Need for Cognition on Satisfaction through the Mediating Role of Trust in Online Shopping Websites (소비가치와 소비자의 인지욕구가 온라인 쇼핑 웹사이트에 대한 신뢰성을 매개로 만족도에 미치는 영향)

  • Lee, Yun-sun
    • Journal of Venture Innovation
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    • v.6 no.4
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    • pp.99-111
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    • 2023
  • This study aims to confirm that consumers' satisfaction with online shopping websites has changed to a phenomenon different from the past. In other words, in a situation where the use of e-commerce is expanding worldwide after the pandemic and various types of commerce such as mobile commerce and social commerce are formed, the consumer's information processing and decision-making process are meaningful in examining the behavior that has been changed based on the perceived motivation level of consumers by the new environment according to the consumption value and personal characteristics perceived by the consumer. In other words, the purpose of this study was to investigate the effect of consumption value and need for cognition on the satisfaction toward online websites as a mediating role in the trust of the website. As a result of testing Hypothesis 1, not only the hedonic value of the consumer for the website but also the utilitarian value had a positive influence on the satisfaction toward the website, and in particular, the utilitarian value showed a relatively greater influence than the hedonic value. However, the negative relationship between the need for cognition and satisfaction was found to be at a significant level under one-sided verification. In Hypothesis 2, only the utilitarian value among the consumption values of 2-1 showed a positive effect on satisfaction through a mediating role of trust. It was confirmed that the utilitarian value among the consumption values was an important factor in the satisfaction toward the website. The significance of this study is that, unlike previous research results, not only consumption value based on senses and emotions but also utilitarian value has a greater influence. Therefore, utilitarian value and need for cognition have a stronger influence on satisfaction if they play a mediating role based on the trust of the website used by consumers. These findings reflect the current market trend of online consumption, and they are helpful in the management and strategy of online websites based on consumer behavior understanding and major factors.

A Study on Developing Web based Logistic Information System(KT-Logis) (웹 기반 통합물류정보시스템(KT-Logis) 개발에 관한 연구)

  • 오상호;김태준
    • Proceedings of the Korean DIstribution Association Conference
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    • 2001.11b
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    • pp.125-141
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    • 2001
  • In this paper, the current problems of logistics industry in Korea and their possible solutions were discussed. With Korea Telecoms KT-Logis, the supplier and demander of logistics service would not have to invest large sum of money into their computer system. All they need is just a computer with internet connected. What KT-Logis influence on the logistics industry are the following; 1. Many logistics service supplier and demander can do the business on the web with one computer system. 2. This web based computer system does not only work on the office but also apply on the field worker such as delivery personnel or even the forwarder with mobile phone. 3. KT-Logis is an integrated system which cover the broad arrange of logistics management from truck management to customer relations management. 4. Finally, KT-Logis is web based systems which suits for current e-business and mobile environment. In future, more studies should be done to develop more progressive integrated logistics information systems with enterprise resource planning(ERP) and supply chain management(SCM).

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Resolving the 'Gray sheep' Problem Using Social Network Analysis (SNA) in Collaborative Filtering (CF) Recommender Systems (소셜 네트워크 분석 기법을 활용한 협업필터링의 특이취향 사용자(Gray Sheep) 문제 해결)

  • Kim, Minsung;Im, Il
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.137-148
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    • 2014
  • Recommender system has become one of the most important technologies in e-commerce in these days. The ultimate reason to shop online, for many consumers, is to reduce the efforts for information search and purchase. Recommender system is a key technology to serve these needs. Many of the past studies about recommender systems have been devoted to developing and improving recommendation algorithms and collaborative filtering (CF) is known to be the most successful one. Despite its success, however, CF has several shortcomings such as cold-start, sparsity, gray sheep problems. In order to be able to generate recommendations, ordinary CF algorithms require evaluations or preference information directly from users. For new users who do not have any evaluations or preference information, therefore, CF cannot come up with recommendations (Cold-star problem). As the numbers of products and customers increase, the scale of the data increases exponentially and most of the data cells are empty. This sparse dataset makes computation for recommendation extremely hard (Sparsity problem). Since CF is based on the assumption that there are groups of users sharing common preferences or tastes, CF becomes inaccurate if there are many users with rare and unique tastes (Gray sheep problem). This study proposes a new algorithm that utilizes Social Network Analysis (SNA) techniques to resolve the gray sheep problem. We utilize 'degree centrality' in SNA to identify users with unique preferences (gray sheep). Degree centrality in SNA refers to the number of direct links to and from a node. In a network of users who are connected through common preferences or tastes, those with unique tastes have fewer links to other users (nodes) and they are isolated from other users. Therefore, gray sheep can be identified by calculating degree centrality of each node. We divide the dataset into two, gray sheep and others, based on the degree centrality of the users. Then, different similarity measures and recommendation methods are applied to these two datasets. More detail algorithm is as follows: Step 1: Convert the initial data which is a two-mode network (user to item) into an one-mode network (user to user). Step 2: Calculate degree centrality of each node and separate those nodes having degree centrality values lower than the pre-set threshold. The threshold value is determined by simulations such that the accuracy of CF for the remaining dataset is maximized. Step 3: Ordinary CF algorithm is applied to the remaining dataset. Step 4: Since the separated dataset consist of users with unique tastes, an ordinary CF algorithm cannot generate recommendations for them. A 'popular item' method is used to generate recommendations for these users. The F measures of the two datasets are weighted by the numbers of nodes and summed to be used as the final performance metric. In order to test performance improvement by this new algorithm, an empirical study was conducted using a publically available dataset - the MovieLens data by GroupLens research team. We used 100,000 evaluations by 943 users on 1,682 movies. The proposed algorithm was compared with an ordinary CF algorithm utilizing 'Best-N-neighbors' and 'Cosine' similarity method. The empirical results show that F measure was improved about 11% on average when the proposed algorithm was used

    . Past studies to improve CF performance typically used additional information other than users' evaluations such as demographic data. Some studies applied SNA techniques as a new similarity metric. This study is novel in that it used SNA to separate dataset. This study shows that performance of CF can be improved, without any additional information, when SNA techniques are used as proposed. This study has several theoretical and practical implications. This study empirically shows that the characteristics of dataset can affect the performance of CF recommender systems. This helps researchers understand factors affecting performance of CF. This study also opens a door for future studies in the area of applying SNA to CF to analyze characteristics of dataset. In practice, this study provides guidelines to improve performance of CF recommender systems with a simple modification.

  • A Comparison of Impulse Buying Behavior and Credit Card Use between Korean and American College Students (한국과 미국대학생의 충동구매행동과 신용카드사용에 대한 비교연구)

    • Park Eun Joo;Forney Judith C.
      • Journal of the Korean Society of Clothing and Textiles
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      • v.28 no.12 s.138
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      • pp.1571-1582
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      • 2004
    • Consumer's impulse buying behavior is extensive in everyday contexts. Credit cards promote spending by making the transaction simpler and by removing the immediate need for money. College students grown up in a credit card society attain cards at college's time and keep cards for 10 years over. In an effort to extend understanding of consumer behavior across cultures, this paper examines the cultural differences of impulse buying behavior and credit card use between Korean and American college students, and to investigate the relationships between impulse buying behavior and credit card use in each group. Data were obtained from student credit card users attending universities in metropolitan areas in Korea(N=154) and America(N=194). Data were analyzed using by Confirmatory Factor Analysis, MANOVA, MDA, and Regression. The results indicated there are significant differences of fashion-oriented impulse buying and credit card use between American and Korean college students. The impulse buying behavior is likely to increase for both Korean and American students who use credit cards for spending. Findings suggest that credit card use is important in predicting impulse buying behavior across these two cultures. Implications are drawn for the increasing global phenomenon impulse buying behavior and credit card use.

    Analyzing Land Use Patterns of C.B.D. Using Special Quotients - The Case of Downtown Seoul - (특화도 분석에 따른 도심공간의 토지이용 패턴 연구)

    • Kim, Tae-Ho;Yuh, Hong-Koo
      • Spatial Information Research
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      • v.20 no.4
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      • pp.69-82
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      • 2012
    • The purpose of this study was to identify structural properties of C.B.D and to provide direction that required for the plan and its development by analyzing land use patterns and its characteristics in the center of the city. In this study, the future planning elements and detailed land use of Seoul was analyzed, in regard to the spatial structural hierarchy and the function of downtown, by investigation of its current urban spatial structure. First, the characteristic of the land-use for merchandising facilities is that it is developed from west to east along the Jong-ro, Myungdong and Namdaemun, it shows high rate of the facilities along the horizontal axis. The large market area on this district would be the reason to the high rate of mechandising facilities. Second, the characteristic of the land-use for business facilities is that it is highly rated on the area passing through the Sejong-ro and Seoul station. The analysis result of our investigation is that the projects executed by Seoul city such as 'downtown maintenance planning' and 'downtown recreation program' strengthened functions of business and merchandising and promoted downtown shopping, leisure, tourism functions resulting activation of nearby market place and evaluated as maintaing the centrality of downtown Seoul well.

    Trust Building of Buyers who perceive Quality Risk High in Online Used Car Transactions: A Dyadic Trust Relationship (온라인 중고차 거래에서 품질위험을 높게 지각한 구매자의 신뢰형성: 구매자와 대리인 양자간 신뢰)

    • Lee, Seung-chang
      • Journal of Distribution Science
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      • v.7 no.3
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      • pp.49-69
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      • 2009
    • 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.

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