• Journal of Distribution Science
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• v.18 no.3
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• pp.15-24
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• 2020

Purpose: The purpose of this study is to investigate the mediating effect of conspicuous brand usage between brand experience and brand loyalty in relational perspective, and to probe the difference between the positively experienced consumers and the negatives. Research design, data and methodology: Apple iPhone, Samsung Galaxy, and other brands were suggested as consideration set to be selected from 223 Amazon Mechanical Turk respondents, and they answered the structured survey of 33 questions made by Qualtrics with 5-point Likert scale. Structural Equations Model (SEM) was employed to test the hypothesized model, and RStudio and SPSS 18 were used to analyze the dataset. Results: It was confirmed that the more consumers have positive brand experience, the more they are loyal to brand. Conspicuous brand usage can be positively mediated, and consumers who experienced high conspicuous brand usage are more likely to be loyal to the brand. Conclusions: It is noteworthy to find the mediating effect of conspicuous brand usage, and the hidden mechanism between brand experience and brand loyalty. Managers can promote positive conspicuous brand usage when consumers get in touch with product and service channels. By providing impressive conspicuous brand experience, the brand loyalty of the band can be enhanced.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.4
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• pp.516-523
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• 2011

Purpose: The purpose of this study was to examine the causal relationships of perceived risk, satisfaction, switching cost and loyalty in outpatient health services. Method: A survey using a structured questionnaire was conducted with 393 hospital outpatients. The analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for structural equation model. Results: The causal model yielded Chi-square=31.44 (p=<.001), df=4, GFI=.98, AGFI=.87, CFI=.97, RMSR=.04, NFI=.96, IFI=.97 and showed relatively good fit indices. Perceived risk had a significant direct effect on customer satisfaction. Customer satisfaction, financial switching cost and relational switching cost had significant direct effects on customer loyalty. Perceived risk and customer satisfaction had significant indirect effects on customer loyalty. Conclusion: These results suggest that we should decrease the perceived risk and improve the customer satisfaction and switching cost to retain loyal customers. Further study with both a larger sample from various hospitals and a longitudinal design is necessary.

• Asia pacific journal of information systems
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• v.8 no.2
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• pp.53-67
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• 1998

The explosive growth of the Web is providing end-users access to ever-increasing volumes of information. The resources of legacy systems and relational databases have also been made available to the Web browser, which has become an essential business tool. Recently, model management on the Internet/Web is also proposed with its conceptual design or prototypical system like DecisionNet and DSS Web. However, they are also suffering from the same symptoms as the Web, Although we can identify the elements of a page with HTML tags and (declare) the relationships among the various document elements, they are semantically opaque to computer systems and have no domain-specific meaning. However, HTML is not extensible, so developers are forced to invent convoluted, non-standard solutions for embedding and parsing data. Extensible Markup Language (XML) is a simplified subset of SGML that has many benefits for folks who want to improve structure, maintainability, searchability, presentation, and other aspects of their document management. This paper proposes a structured markup language for model representation and management on the Web as an XML application. The language is based on a conceptual modeling framework, Object-Oriented Structured Modeling (OOSM), which is an extension of the structured modeling.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.372-380
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• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.45-55
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• 2022

BIM models allow building spaces to be instantiated and recognized as unique objects independently of model elements. These instantiated spaces provide the required semantics that can be leveraged for building code checking, energy analysis, and evacuation route analysis. However, theses spaces or rooms need to be designated manually, which in practice, lead to errors and omissions. Thus, most BIM models today does not guarantee the semantic integrity of space designations, limiting their potential applicability. Recent studies have explored ways to automate space allocation in BIM models using artificial intelligence algorithms, but they are limited in their scope and relatively low classification accuracy. This study explored the use of Graph Convolutional Networks, an algorithm exclusively tailored for graph data structures. The goal was to utilize not only geometry information but also the semantic relational data between spaces and elements in the BIM model. Results of the study confirmed that the accuracy was improved by about 8% compared to algorithms that only used geometric distinctions of the individual spaces.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.85-96
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• 2022

CEO duality and its impact on firm performance represent one of the most contentious issues in both academia and business. This study, therefore, aims to examine the moderating role of CEO duality in the relationship between intellectual capital Efficiency (human, structural, relational, Capital Employed, and Innovation) and firm performance (earnings per share and Tobin's Q) among Jordanian companies. The study sample consists of services listed companies on Amman Stock Exchange. The study used panel data for the period 2014-2018 with a sample size of 230 observations. SPSS software was used to analyze the collected data. The regression results indicate a significant relationship between, IC and firm performance. When CEO Duality is incorporated into the model as a moderator, there is an increase in the R² by 7.9%. The findings from this study expand the theoretical underpinning of corporate governance research by identifying the performance implications of CEO duality within the Jordanian context. It also contributes significantly to the literature review about the current status of the practices taken in the intellectual capital components efficiency among companies listed on the Amman Stock Exchange. Findings from this study also provide contributions to the concerned policymakers such as the Ministry of Finance, Securities Commission, and Amman Stock Exchange in Jordan, to improve the current policies related to intellectual capital efficiency.

• Smart Structures and Systems
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• v.32 no.5
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• pp.297-308
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• 2023

Dynamic deflection is important for evaluating the performance of a long-span cable-stayed bridge, and its continuous measurement is still cumbersome. This study proposes a dynamic deflection monitoring method for cable-stayed bridge based on Bi-directional Long Short-term Memory (BiLSTM) neural network taking advantages of the characteristics of spatial variation of cable acceleration response (CAR) and main girder deflection response (MGDR). Firstly, the relationship between the spatial and temporal variation of the CAR and the MGDR is described based on the geometric deformation of the bridge. Then a data-driven relational model based on BiLSTM neural network is established using CAR and MGDR data, and it is further used to monitor the MGDR via measuring the CAR. Finally, numerical simulations and field test are conducted to verify the proposed method. The root mean squared error (RMSE) of the numerical simulations are less than 4 while the RMSE of the field test is 1.5782, which indicate that it provides a cost-effective and convenient method for real-time deflection monitoring of cable-stayed bridges.

• The Korean Journal of Franchise Management
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• v.15 no.1
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• pp.43-60
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• 2024

Purpose: According to previous studies, customer experience had a significant effect on consumer behaviors. In this perspective, this study investigates the structural relationship among customer experience, resort use satisfaction, and customer behavioral intentions, with focus on the mediating role of resort use satisfaction. Research design, data, and methodology: Data collected from 361 individuals who had experienced the resort service were analyzed using SPSS 29.0 and AMOS 29.0, involving frequency analysis, HTMT, reliability analysis, correlation analysis, confirmatory factor analysis, and structural equation model testing. Result: Firstly, cognitive, and relational experiences had significant effect on resort use satisfaction. Secondly, resort use satisfaction had significant effect on customer behavioral intentions. Thirdly, resort use satisfaction had partial mediating effects in the relationship between customer experiences and customer behavioral intentions. Conclusion: This study academically confirmed the empirical link between customer experience and consumer behaviors. From a practical standpoint, it suggests the necessity of marketing activities that enhance customers' perception of their experiences, as well as resort use satisfaction and customer behavioral intentions, through systematic CS education and management of the physical environment.

• Journal of Distribution Science
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• v.12 no.11
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• pp.67-76
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• 2014

Purpose - PB (Private Brand) refers to the product for which the distribution company plans the production independently, consigns the production to the manufacturer, or attaches the self-developed trademark and sells it. To reinforce competitiveness in such a market environment, diverse products development, systematic management activities, and marketing efforts to analyze and understand the consumers' behavior regarding PB products are emphasized. Therefore, this study aims to investigate the relationships among PB product attributes, consumption emotion, brand attitude, and brand loyalty in general supermarkets. First, PB product attributes were defined using the five categories of perceived price, store image, familiarity, perceived service, and perceived quality, based on preceding studies. This study examined the influence of PB product attributes on consumption. Further, this study examined the relation among consumption emotion, brand attitude, and brand loyalty. This study provides more detailed and concentrated strategic implications. Research design, data, and methodology - In this study, the research model was designed to examine the relation among PB product attributes, consumption emotion, brand attitude, and brand loyalty. For the data collection method, the questionnaire survey comprised multiple items for each component and the direct interview method was employed. To collect data, the questionnaire survey was conducted for customers who personally visited the general supermarket after verifying the PB product purchase experience. The questionnaire survey was performed for one month, May 2014. A total of 300 questionnaires were distributed and 240 questionnaires were used for the analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0. Results - First, PB product attributes had a significantly positive effect on consumption emotion. The PB product attributes perceived by the customer at the point of service contact are important to form the positive consumption emotion. Second, consumption emotion had a significantly positive effect on brand attitude. Third, the consumption emotion had a significantly positive effect on brand loyalty. Such consumption emotion is an important factor in causing the positive evaluation on the brand attitude perceived by the customer. Fourth, brand attitude had a significantly positive effect on brand loyalty. The consumption emotion was positively represented to invoke the relational continuance behavior. The relational continuance behavior accompanies the repetition of purchase, word of mouth, and recommendation activities, and influences trust regarding the brand, for which the customer maintains the transaction continuously. Conclusions - The PB product attributes perceived by the customer at the point of service contact are important factors to form the positive consumption emotion. Based on this result, the discount store service provider would prepare the measures that can make the customer recognize the positive value, and make more detailed efforts. Consumption emotion is an important factor to cause the positive evaluation on the brand attitude perceived by the customer. Based on this result, the general supermarket must make efforts to provide fun or convenience in the purchase process for consumers.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.427-433
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• 2004

Most information providers are offering integrated retrieval service based on the bibliographic metadata and schema corresponding to each type of document which are developed in a distributed and independent way. However, it is difficult to maintain the relational consistency of those single heterogeneous databases even though they obey the metadata standard like MARC or MODS. It is the main reason that those standards are restricted to present the general property of document regardless of its type and not to applied to define the relationship of document types. Therefore, It is necessary to define a comprehensive meta model to associate the related databases in a systematic way so that the semantically common part of them can be easily shared and reused without any additional effort like conversion or mapping. In this paper, we first outline the document types for designing meta model by the empirical analysis of various data schema of main information providers. We propose then data element definition, metadata model and modularized XML DTD which support the efficient and consistent management of multiple ducument types.