• Journal of Distribution Science
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• 제13권5호
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• pp.45-52
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• 2015

Purpose - Augmented reality (AR) content used in mobile media today can accommodate a wide variety of contextual information. This indicates that making people experience a sense of presence and flow is a very significant factor in augmented reality content. Flow represents a rich immersion potential as representing the progress of emotion and the means to facilitate the operation of the smart phone. Therefore, users will have friendly relational continuance behavior with products and brands that supply this experience. Based on that, the purpose of this study is to investigate the relationships among smart phone AR application traits, presence, flow experience, and relational continuance behavior. First, AR application traits are defined as three categories sensory immersion, navigation, and manipulation, based on preceding studies. This study then examines the influence of AR application traits on the presence and flow experience and looks into the relation among presence, flow experience, and relational continuance behavior. This analysis suggests more detailed and concentrated strategic implications. Research design, data, and methodology - A research model is designed to examine the relation among AR application traits, presence, flow experience, and relational continued behavior. For data collection, questionnaire surveys were composed of multi-items for each component and the direct interview method was used for the interviews. To collect the data, after running the smart phone AR applications, the consumer behaviors of the respondents were generally determined. The questionnaire surveys were conducted for one month, October 2014. A total of 300 questionnaires were distributed with 278 questionnaires used for analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0 and LISREL ver. 8.51. Results - The following results are found: First, AR application traits have a significantly positive effect on presence with sensory immersion, navigation, and manipulation all having a significantly positive effect. Second, sensory immersion and manipulation among the AR application traits have a significantly positive effect on flow. However, navigation did not have a significantly positive effect on flow. Third, presence has a significantly positive effect on flow and has a significantly positive effect on relational continuance behavior. Moreover, flow also has a significantly positive effect on relational continuance behavior. This behavior tends to be formed since brands want to encourage relational continuance behavior and positive emotions with the brands being used. Relational continuance behavior accompanies repeat purchasing, positive word-of-mouth and recommendation activities, and forms of trust with the brand. Conclusions - The research results showed that smart phone AR traits had significantly positive effect on presence, flow, and relational continuance behavior. Based on this, smart phone AR application providers should establish an aggressive marketing strategy to accommodate more realistic problems in order to positively influence user behavior. Additionally, the marketers should make efforts to provide fun or convenience in the AR application operation process of the user.

• Journal of the Korean Society of Clothing and Textiles
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• 제26권7호
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• pp.1043-1054
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• 2002

The purposes of this study were to empirically examine the effect of relational benefits and relationship quality in the core variables of relationship marketing on customer satisfaction, to investigate the causal relationships among these variables. The questionnaires was administered to 417 women shopped in a fashion retail store in Gwang-ju city during January 14-18, 2002. For analysis of data, frequency, factor analysis, regression analysis, and path analysis were applied. The results were as follows: 1. The customers' perceived relational benefits were categorized as follow: 1) special treatment,2) social, and 3) psychological benefits. Relationship quality was categorized into two factors: trust and commitment 2. The relational benefits significantly influenced customer satisfaction. 3. The relational benefits significantly influenced relationship quality. 4. The relationship quality significantly influenced customer satisfaction. 5. The relational benefits had both direct and indirect effects on customer satisfaction mediated by relationship quality. The results indicated that causal relationship was existed among these three variables.

• KIPS Transactions on Software and Data Engineering
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• 제3권1호
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• pp.19-30
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• 2014

For the expansion of the Semantic Web, studies in converting the data stored in the relational database into the ontology are actively in process. Such studies mainly use an RDB to RDF mapping model, the model to map relational database components to RDF components. However, pre-proposed mapping models have got different expression modes and these damage the accessibility and reusability of the users. As a consequence, the necessity of the standardized mapping language was raised and the W3C suggested the R2RML as the standard mapping language for the RDB to RDF model. The R2RML has a characteristic that converts only the relational database schema data to RDF. For the same reasons above, the ontology about the relation data between table name and column name of the relational database cannot be added. In this paper, we propose an RDB to RDF mapping system considering semantic relations of RDB components in order to solve the above issue. The proposed system generates the mapping data by adding the RDFS attribute data into the schema data defined by the R2RML in the relational database. This mapping data converts the data stored in the relational database into RDF which includes the RDFS attribute data. In this paper, we implement the proposed system as a Java-based prototype, perform the experiment which converts the data stored in the relational database into RDF for the comparison evaluation purpose and compare the results against D2RQ, RDBToOnto and Morph. The proposed system expresses semantic relations which has richer converted ontology than any other studies and shows the best performance in data conversion time.

• Journal of the Korea Computer Industry Society
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• 제2권6호
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• pp.837-844
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• 2001

XML has already been settled down as a standard for the exchange of commercial data on the web. Though most institutions have a wish to use XML document as an EDI form for all sorts of document exchange, it is unfortune that previous commercial data is still saved in the relational form of data base. Therefore, it is necessary that data saved in the relational form of data base be transformed into XML document form for the better use of document exchange. In order to transform relational form of data base to XML, one solution is to publish XML document by way of mapping each field of the relational form of data base table onto XML. However, in the case of building one XML document out of more i~km two data base tables, a join should be performed since a mere mapping associated with DTD tan not solve the problem. In this paper, we build the view for the XML in which alignments generated from the join are presented. and then through this view the contents with the relational form of data base should be transformed into XML. Briefly speaking, This paper aims to propose algorithm concerned with this transformation and to realize it.

• Culinary science and hospitality research
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• 제21권4호
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• pp.251-270
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• 2015

This study was, based on traditional know-how indigenous to Korea, to systemize the knowledge on how to improve health by dining, and to make the best of it statistically. For this purpose, the knowledge in the Sikryo-chanryo(食療纂要), in Korean pronunciation and Siglyochan-yo in Chinese characters, which is an old text referring to diet therapy peculiar to Korea, was compiled into a database and analyzed statistically. Data processing was used as a 'Relational data model'. In addition, we have used nine data table to express diet therapy peculiar to Korea in the Siglyochan-yo. The software used for data construction was Microsoft Access 2014. As a result, the Sikryo-chanryo database, which can provide information on both disease treatment by food, medicines, and gourmet ingredients applicable to every kind of symptom, as well as the names of disease, was set up at in a PC interface. By employing the 'Relational data model', we can replace researching in the conventional method by employing the database.

• Journal of Korean Society for Quality Management
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• 제45권1호
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• pp.39-54
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• 2017

Purpose: This study evaluated the effect of customer relationship management (CRM) on customer's brand loyalty in the holistic perspective of relational benefits, relationship quality and relation value. This paper attempted to find out the psychological process that links the relational benefits and brand loyalty. Methods: The data was collected by using the structured questionnaires to VIP customers and general customers of major domestic banks. The proposed research model is empirically tested using 324 valid questionnaires using SPSS 23 and AMOS 23. Results: This research indicated the partially positive relationship between the relational benefits and relation values, and between relational benefits and relationship quality. The relation value and relationship quality positively affects the relation commitment and the relation commitment also positively affects brand loyalty. This study also shows that the relation value affects the brand loyalty through the mediation of relation commitment, but also the relationship quality affects the brand loyalty through the media of relation commitment. Conclusions: This study investigates the role of perceptional factors(relational value and relationship quality) and affective factors(relation commitment) to find the relationship between relational benefits and brand loyalty. It also suggest the relative influence of relational benefits on relation value.

• Journal of the Korean Operations Research and Management Science Society
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• 제20권2호
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• pp.139-158
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• 1995

A temporal database systems provides timing information and maintains history of data compared to the conventional database system. In this paper, we present a temporal relational database which use an interval-stamping method for instant-based events and for interval-based states. A set of temporal algebraic operators are developed on an instance of time and interval of time so that we can manipulate events and states at a same time. The set of operation is the basis for creating a relational algebra that is closed for temporal relations. And temporal SQL is also suggested as a temporal query relational language for our algebraic operations on temporal relations.

• Journal of the Korean Society of Clothing and Textiles
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• 제33권5호
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• pp.793-803
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• 2009

The purposes of this study were to investigate the factors CRM at department store and customer's perceived relational benefits and to analyze the effects of CRM on relational benefits and satisfaction. The data were collected from 760 people aged from 20 to 69 who were shopping in department stores. The data were analyzed with descriptive statistics, factorial analysis, multiple regression analysis, and Cronbach' ${\alpha}$, using the SPSS 12.0. The results were as follows. 1) CRM activities were classified into 5 factors: 'discount-related information', 'communication', 'management after purchase', 'service', and 'differentiate management'. 2) Perceived relational benefits were classified into 4 factors: 'informational benefit', 'psychological benefit', 'convenience benefit', and 'economic benefit'. 3) Perceived relational benefits were affected by 'communication', 'management after purchase', 'service', and 'discount-related information'. And 4) customer satisfaction was affected directly by 'psychological benefit', 'convenience benefit', 'service', and 'discount-related information'.

• Journal of the Korea Society of Computer and Information
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• 제23권10호
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• pp.33-43
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• 2018

In this paper, we propose a method to automatically generate the description of an RDF graph structure. The description is expressed in Shape Expression Language (ShEx), which is developed by W3C and provides the syntax for describing the structure of RDF data. The RDF graphs to which this method can be applied are limited to those generated by the direct mapping, which is an algorithm for transforming relational data into RDF by W3C. A relational database consists of its schema including integrity constraints and its instance data. While the instance data can have been published in RDF by some standard methods such as the direct mapping, the translation of the schema has been missing so far. Unlike the users on relational databases, the ones on RDF datasets were forced to write repeated vague SPARQL queries over the datasets to acquire the exact results. This is because the schema for RDF data has not been provided to the users. The ShEx documents generated by our method can be referred as the schema on writing SPARQL queries. They also can validate data on RDF graph update operations with ShEx validators. In other words, they can work as the integrity constraints in relational databases.

• Journal of KIISE
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• 제43권12호
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• pp.1385-1395
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• 2016

In the era of Big Data, NoSQL databases provide solutions for problems, circumventing the limitations of traditional relational databases by using new architectures and data model. Contrary to relational database products, the range of the features architectures, and limitations of NoSQL databases is very broad. Thus, choosing the right database products requires more considerations and difficulties. The advent of NoSQL does not only promote the abundance of NoSQL products, but also stimulates the relational database realm to expand their features beyond the relational model. In order to understand NoSQL trends more accurately, here we discuss and compare NoSQL databases with relational databases. We also present the newest features associated with NoSQL in one of the most advanced open-source relational databases, PostgreSQL. To discuss future directions for PostgreSQL we analyzed the performance of NoSQL and PostgreSQL by conducting experiments using the NoSQL benchmark tool (YCSB).