• Title/Summary/Keyword: Data usage and analysis

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An Application of MDS(Multidimensional Scaling) Methods to the Study of Furniture Usage and Behavior in the Living Room (MDS 분석방법을 이용한 거실의 가구사용행태연구)

  • SungHeuiCho
    • Journal of the Korean housing association
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    • v.1 no.2
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    • pp.1-11
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    • 1990
  • A study of domestic furniture arrangements may reveal the living style relevant to the room as conceived and coded by occupants and the effects of the physical environment on the structure of behavior settings. The purpose of this study was to investigate, through analizing the furniture usage and behavior as a non-reactive and activity oriented behavioral measures, the occupants` domestic habits as a living style using MDS. MDS(multidimensional scaling technique) is a statistical technique for creating a spatial representation of data. It Is a particularly appropriate technique for analizing qualitative data such as the furniture usage and behavior because it takes into account all of the relationships between items. For the MDS analysis, the furniture usage and behavior examined by housing types based on 114 households in Seoul. The result of spatial configuration by MDS has three dimensions : recogn;lion of room function, pattern of room organization, understanding of room meaning. The effect of housing types for dimensions is identical but configuration of furniture items is different.

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What makes University Students to continuously use Cloud Services? - Enjoyment and Social Influence

  • Lee, Jong Man;Lee, Sang Jong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.123-129
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    • 2018
  • The purpose of this paper is to investigate the influence of utilitarian, hedonic and social motivations on continuance intention to use cloud services. To do this, this study built a research model and examined how ease of use, usefulness, enjoyment, social influence affect the continuance usage intention of cloud services. The survey method was used for this paper, and data from a total of 82 university students were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, enjoyment has a direct effect on the continuance usage intention of cloud services. Second, social influence has a direct effect on the continuance usage intention. Further, it will provide meaning suggestion point of the importance of not only utilitarian motivation but also hedonic and social motivations in establishing the use policy of cloud services.

A Study on Information Attitude, Brand Attitude, Usage Satisfaction, Brand Image and Brand Loyalty of YouTube Sports Contents Viewer

  • Byun, Kyung-Won
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.206-212
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    • 2020
  • The purpose of this study is to analyze the structural relationship among information attitude, brand attitude, usage satisfaction, brand image and brand loyalty of YouTube sports Contents. The survey subjects to achieve the purpose of this study were selected the 490 YouTube sports contents Viewer in the metropolitan area. Data processing was done with SPSS 23 for frequency analysis, Cronbach's α analysis. Also, AMOS 21 was used for confirmatory factor analysis and structural equation model analysis. The results of the analysis are as follows: First, it is more effective to increase the attitude toward the brand itself rather than information attitude to use satisfaction Second, both information attitude and brand attitude were found to have a positive effect on enhancing brand image. In relation to attitude and image, it was possible to achieve research accumulation for YouTube users. Third, it was found that both the use satisfaction and the brand image presented in the previous study had a positive effect on brand loyalty.

A Study for Factors Influencing the Usage Increase and Decrease of Mobile Data Service: Based on The Two Factor Theory (모바일 데이터 서비스 사용량 증감에 영향을 미치는 요인들에 관한 연구: 이요인 이론(Two Factor Theory)을 바탕으로)

  • Lee, Sang-Hoon;Kim, Il-Kyung;Lee, Ho-Geun;Park, Hyun-Jee
    • Asia pacific journal of information systems
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    • v.17 no.2
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    • pp.97-122
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    • 2007
  • Conventional networking and telecommunications infrastructure characterized by wires, fixed location, and inflexibility is giving way to mobile technologies. Numerous research reports point to the ultimate domination of wireless communication. With the increasing prevalence of advanced cell-phones, various mobile data services (hereafter MDS) are gaining popularity. Although cellular networks were originally introduced for voice communications, statistics indicate that data services are replacing the matured voice service as the growth engine for telecom service providers. For example, SK Telecom, the Korea's largest mobile service provider, reported that 25.6% of revenue and 28.5% of profit came from MDS in 2006 and the share is growing. Statistics also indicate that, in 2006, the average revenue per user (ARPU) for voice didn't change but MDS grew seven percents from the previous year, further highlighting its growth potential. MDS is defined "as an assortment of digital data services that can be accessed using a mobile device over a wide geographic area." A variety of MDS have been deployed, with a few reaching the status of killer applications. Many of them need to access the Internet through the cellular-phone infrastructure. In the past, when the cellular network didn't have acceptable bandwidth for data services, SMS (short messaging service) dominated MDS. Now, Internet-ready, next-generation cell-phones are driving rich digital data services into the fabric of everyday life, These include news on various topics, Internet search, mapping and location-based information, mobile banking and gaming, downloading (i.e., screen savers), multimedia streaming, and various communication services (i.e., email, short messaging, messenger, and chaffing). The huge economic stake MDS has on its stakeholders warrants focused research to understand associated dynamics behind its adoption. Lyytinen and Yoo(2002) pointed out the limitation of traditional adoption models in explaining the rapid diffusion of innovations such as P2P or mobile services. Also, despite the increasing popularity of MDS, unexpected drop in its usage is observed among some people. Intrigued by these observations, an exploratory study was conducted to examine decision factors of MDS usage. Data analysis revealed that the increase and decrease of MDS use was influenced by different forces. The findings of the exploratory study triggered our confirmatory research effort to validate the uni-directionality of studied factors in affecting MDS usage. This differs from extant studies of IS/IT adoption that are largely grounded on the assumption of bi-directionality of explanatory variables in determining the level of dependent variables (i.e., user satisfaction, service usage). The research goal is, therefore, to examine if increase and decrease in the usage of MDS are explained by two separate groups of variables pertaining to information quality and system quality. For this, we investigate following research questions: (1) Does the information quality of MDS increase service usage?; (2) Does the system quality of MDS decrease service usage?; and (3) Does user motivation for subscribing MDS moderate the effect information and system quality have on service usage? The research questions and subsequent analysis are grounded on the two factor theory pioneered by Hertzberg et al(1959). To answer the research questions, in the first, an exploratory study based on 378 survey responses was conducted to learn about important decision factors of MDS usage. It revealed discrepancy between the influencing forces of usage increase and those of usage decrease. Based on the findings from the exploratory study and the two-factor theory, we postulated information quality as the motivator and system quality as the de-motivator (or hygiene) of MDS. Then, a confirmative study was undertaken on their respective role in encouraging and discouraging the usage of mobile data service.

Understanding a User's Service Usage and Knowledge Sharing Behavior in the Context of Knowledge Search Service (지식검색 서비스 사용자의 서비스 사용과 지식 공유 행위에 관한 이해)

  • Kim, Byoungsoo;Jeon, Jin Ho;Kang, Young Sik
    • Knowledge Management Research
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    • v.10 no.2
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    • pp.85-103
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    • 2009
  • Web 2.0, characterized as openness, sharing, and participation, has enabled Internet users to easily generate a variety of contents, and to share them through Web 2.0 services. Knowledge search service (KSS) is positioning itself as one of typical Web 2.0 services. Yet, few studies have sharpened our understanding of users' knowledge sharing behavior in the KSS environment. In order to address this knowledge void, this paper attempts to explore antecedents of their usage behavior in the KSS environment. Typically, they utilize stored knowledge and share their knowledge simultaneously. Considering this characteristic, our study regards service usage intention and knowledge sharing intention as final dependent variables. This study advances a research model based on Bhattacherjee's expectation-confirmation model, which is expanded by incorporating trust belief. Because of the openness of KSS, trust belief is believed to play a critical role in forming users' service usage intention and knowledge sharing intention. Furthermore, this study examines the difference of the antecedents' effects in terms of users' gender. We collected data from 275 respondents who have experience in using KSS. PLS (partial least squares) was employed for the analysis of the data. Analysis results confirm the important role of user satisfaction and trust belief in the formation of users' service usage intention and knowledge sharing intention. More importantly, trust belief has a more salient effect on knowledge service usage intention than user satisfaction. This study also shows the moderating role of users' gender. Finally, this paper provides managerial guidance on strategic planning aimed at improving users' service usage intention and knowledge sharing intention in the KSS environment.

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A Study on the Effects of Social Commerce Users' Perceived Characteristics on Continuous Usage Intention (소셜커머스 사용자의 지각된 특성이 지속사용의도에 마치는 영향에 관한 연구)

  • Lee, Young-Jai;Hong, Sung-Pyo
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.61-74
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    • 2012
  • This studies aims to examine the factors that affect continuous usage reliability of social commerce users that has been really active recently based on using EDT (Expectation Disconfirmation Theory) and extended ECM (Expected confirmation Model). With a statistical analysis, this paper suggests a conceptual model, based on the empirical evidence from this study. The result reveal that perceived usage easiness has a positive effect on meeting the expected confirmation and satisfaction. As perceived quality, social influence and price appeared to reflect a positive effect on fulfilling expected confirmation. This implies that users consider perceived usage easiness, perceived quality, social influence and price important in using social commerce persistently and that as their expected confirmation fulfillment and satisfaction increase that leads to further rise in their future intended continuous usage.

Causal Relationships of Apparel Buying Behavior on Usage Situations and Consumer Characteristics (의복착용상황과 소비자특성에 따른 의복구매행동의 인과적 관계)

  • 박은주
    • Journal of the Korean Society of Costume
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    • v.26
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    • pp.145-162
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    • 1995
  • The purpose of this study were to investigate the conceptual framework of situational vari-ables, and to find out the causal relationships of apparel buying behavior on usage situations and consumer characteristics. Data were collected viaa questionnaire developed on the previous studies from 386 housewives living at Seoul and Pusan, and analyzed by T-test, Factor analysis, and Path analysis. Results indicated that there were significant differences of apparel buying intention on the types of apparel usage situations. The communi-cation situation was found to be composed of Printed Information and Interpersonal Infor-mation, and the buying situation to be composed of Consumer Conditions, such as weather or mood, Shopping Company, Store Atomosphere, Display, and Store Service. The product char-acteristics considered by consumers in apparel buying process were composed of Practically, Fashionability, Brand, and Approval of others. The causal relationships of apparel buying behavior were significantly different on the types of usage situations and the degree of clothing in-volvement.

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A Study on the Service Improvement through the Analysis of Current Status of e-Trade Platform Usage (전자무역 플랫폼의 이용현황 분석과 서비스 고도화 방안)

  • Lee, Sang-Jin
    • International Commerce and Information Review
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    • v.11 no.3
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    • pp.47-71
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    • 2009
  • In order to implement e-trade infrastructure through the radical innovation of trade process, e-trade platform which is called 'uTradehub' has been developed for three years. After pilot operation of this platform in 2007, the formal service of e-trade such as logistics, customs and foreign exchanges had been provided in 2008. However, the usage of e-Trade platform is not the level of users' satisfaction because trade-related communities have not actively participated into e-trade platform and several functions with users requirements are necessary to develop additionally. In this regard, there are strong demands to suggest some strategies for application and usage proliferation of e-trade platform. Therefore, this paper would like to evaluate the current status of e-trade platform service and usage by the theoretical consideration of preceding researches and practical analysis of statistical data. Then, it will explore several service improvement ideas in terms of system supplementation and integration, electronic documents standardization, radical change of using fee, global connection, user oriented education and advertisement.

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Development of a Personalized Recommendation Procedure Based on Data Mining Techniques for Internet Shopping Malls (인터넷 쇼핑몰을 위한 데이터마이닝 기반 개인별 상품추천방법론의 개발)

  • Kim, Jae-Kyeong;Ahn, Do-Hyun;Cho, Yoon-Ho
    • Journal of Intelligence and Information Systems
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    • v.9 no.3
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    • pp.177-191
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    • 2003
  • Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is the most successful recommendation technology. Web usage mining and clustering analysis are widely used in the recommendation field. In this paper, we propose several hybrid collaborative filtering-based recommender procedures to address the effect of web usage mining and cluster analysis. Through the experiment with real e-commerce data, it is found that collaborative filtering using web log data can perform recommendation tasks effectively, but using cluster analysis can perform efficiently.

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A study on apparel purchaser's information search and purchase channel choice in a multichannel retailing environment (다채널 유통환경에서 의류제품 구매자들의 정보원이용과 구매채널 선택)

  • Chae, Jin Mie
    • Journal of the Korea Fashion and Costume Design Association
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    • v.22 no.2
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    • pp.1-18
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    • 2020
  • The purpose of this study is to investigate the consumers' characteristics in terms of information source usage and purchase channel choice focusing on apparel purchasers in the multichannel retailing environment. The specific research objects are as follows: analyzing consumer's information source usage and purchase channel choice when buying their own clothing, examining the differences of consumers' characteristics according to the groups who are classified by their information source usages, and examining the differences of consumers' characteristics according to the purchase channel choice. The data was collected from adults over 20 years of age who had bought their own clothing within the last year. The questionnaire was carried out during September 2019, using a professional internet research panel, and 490 useful data sets were analyzed by utilizing descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and a Duncan-test using SPSS 21.0. The findings showed that there were also significant differences of consumers' characteristics which included age, gender, monthly clothing expenditure, purchase price, shopping value and perceived risk according to the consumer's information source usage and their purchase channel choice.