• Journal of Distribution Science
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• v.17 no.5
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• pp.39-50
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• 2019

Purpose - The purpose of our study is to provide an understanding of the relationships among consumer attention to social comparison information (ATSCI), consumer ethnocentrism (CET), national identity (NI), and consumer purchase intention to domestic brands (PIDB). Drawing on the social comparison theory (SCT) and social identity theory (SIT), we developed a model that is empirically testable and explains consumer behavior of domestic brands and products. Research design, data, and methodology - The conceptual framework was tested with primary data collected through a survey in China. Structural equation modeling was employed to test hypotheses. Results - The results from empirical analyses indicated that the ATSCI positively influenced CET and NI, and CET and NI affect consumer PIDB. In addition, the mediating effects of CET and NI on the relationship between ATSCI and PIDB were identified. Nonetheless, little direct impact of ATSCI on PIDB was reported. Conclusions - We suggested that international marketers use given information to attract consumer attention and develop appropriate promotions, especially for Chinese young generations that would pay much attention to social comparison information in their purchase decisions. Our study originally connected one socio-psychological antecedent, ATSCI, with CET and NI and estimated the relationships among the three antecedents and their effects on PIDB in order to predict consumer behavior in China.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.517-526
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• 2020

This research investigates the relationship among product quality, service quality, perceived value, customer satisfaction, and behavior intentions. Validated measurements were identified from a literature review. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on responses from 220 customers using confirmatory factor analysis and structural equation modeling. The testing results show that, for the direct path, product quality has a significant, positive influence on customer satisfaction, and behavioral intentions. Also, perceived value directly influences customer satisfaction and behavioral intentions and satisfaction is an antecedent of behavioral intentions. For the indirect path, service quality has a significant, positive influence on behavioral intentions through the customer satisfaction. The major finding of this study suggest that service quality easily attract more customers, especially the young consumers. About the sale personnel, communication skills, knowledge and ways of treatment to customers are crucial to retailers to gain competitive advantage over competitors. Therefore, it should have clear and consistent processes, procedures with criteria that create the best condition for organization and individual to open this kind of retailing store. Furthermore, product quality improvement is essential; all products must have clear originality; and diversifying products and services is also the way to appeal more consumers.

• The Transactions of the Korea Information Processing Society
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• v.5 no.5
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• pp.1204-1215
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• 1998

In this paper, we propose a scenario representing method, a specification language, and a verification technique for OARTS(Object based Approach for Real-Time Systems). As well as the general modeling method(event trace diagram), this study includes a specification language and a verification technique because there was no study about methodological level technique for scenario development as yet. Centering around the synchronization problem of transition of external modules which are the communication interfaces based on the objects, we lay stress on the representation of sequence of external events and internal action transitions. From the results of practical experiences, it has been ascertained that the proposed method reflect well the requirements in the analysis step, and its validity of the representation has been identified by a conceptual verifier. We support that it can serve as an analyzing tool for representing a general real-time scenarios also.

• Asian Oncology Nursing
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• v.11 no.2
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• pp.101-107
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• 2011

Purpose: This study was to understand and explain the adjustment of cancer patients receiving chemotherapy. Variables in this model were social support, uncertainty, resilience and coping. Methods: The data were collected for approximately five months from May through to September 2006 with cancer patients receiving chemotherapy or cancer patients finished chemotherapy using self-administered questionnaires. Descriptive statistics program, Amos 5.0, was employed to verify the goodness of the hypothetic model and the hypotheses formulated in the study. Results: The fitness of the finalized model turned out to be improved ($X^2$=332.644, df=70, GFI= .809, AGFI= .714, RMSEA= .138, AIC=402.644). Those variables made a 60.8% prediction of the patients adjustment. Conclusion: The hypothetic model presented in the study could serve to explain the adjustment of cancer patients receiving chemotherapy. Moreover, the use of the conceptual framework of the theory of planned nursing intervention would be very worthwhile as a strategy to boost the adjustment of cancer patients when receiving chemotherapy.

• Journal of Fashion Business
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• v.15 no.3
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• pp.142-155
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• 2011

By developing attitude transfer model, this study examined the co-marketing alliance effect between fashion and other industries (i.e., service and product brands) based upon the information integration theory. In addition, it examined the product tangibility/intangibility effects of partner brands by controlling stimuli: two alliance cases of fashion and service brands and two alliance cases of fashion and product brands. A total of 1,037 Korean women aged 20 to 39 were surveyed to compare the prior- and post- attitudes toward fashion/partner brands under four fictitious co-marketing alliance cases. Confirmatory factor analysis (CFA), multi-group CFA, structural equation modeling (SEM) analysis, and multi-group SEM analysis were conducted to test the hypotheses. The results demonstrated that the prior-attitude toward fashion brand partially affected the alliance attitude, and the co-marketing alliance was affected by prior-attitudes partner brands. The result of multi-group SEM analysis supported the significant differences between service and product brands as alliance partners, which might refer to the effect of product tangibility, existing in brand alliance contexts. The alliance evaluation affected the subsequent evaluations on each participating brands. This study empirically provides the conceptual structure of how consumer attitudes toward the participating brands interact with the attitudes toward alliance and offer practical insights. Specifically, upon employing the manipulated co-marketing alliances cases, this study demonstrates the partnering effect according to product tangibility of partner brands.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.193-205
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• 2015

The existing 2D cadastre as the core engine of land administration systems met with the difficulty of managing and representing the real 3D world. As a result, a 3D cadastre system has emerged as a solution oriented towards managing, representing and providing 3D spatial information related to physical status, land rights, restrictions and responsibilities. The aim of this study is to establish the foundation of the 3D cadastre information system. With this in mind, this paper aims not only to set up the data range of the 3D cadastre, but also to design a conceptual model based on an LADM (Land Administration Domain Model) through the investigation of legal restrictions and land uses relating to spaces in 3D.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.303-313
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• 2020

This study investigates the factors affecting Industry 4.0 adoption in the curriculum of university students in Ho Chi Minh City, Vietnam. Universities need to respond to the changing faces of Industry 4.0 and, hence, Education 4.0. A mixed method including both qualitative and quantitative methodologies was utilized. An in-depth interview was carried out for exploring, reviewing, and testing content validity of constructs and measurement items. The pilot study was conducted with 120 respondents. The conceptual model and hypotheses were developed using data collected by a questionnaire survey distributed to 584 respondents by both electronic and paper forms with non-probability and convenience sampling techniques. The result of structural equation modeling showed that occupation relevance, skills, facility conditions, and social influence impacted on the intermediates variables, namely, relevance advantage, perceived usefulness, behavioral intention-to-use, and actual use. The independent variables are occupation relevance, skills, facility conditions, and social influence. They impact actual use through mediating constructs such as relevance advantage, perceived usefulness, and behavioral intention-to-use. The findings suggest that universities and students' efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 will contribute to implementation success, where success is defined as effectual usage of Industry 4.0.

• Korean Journal of Computational Design and Engineering
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• v.18 no.3
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• pp.177-188
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• 2013

The construction industry consists of various and massive architectural information as an architectural process includes a variety of design stages with cooperation of many disciplines. Particularly, architectural information is generated and managed through the life cycle of a building, from conceptual design stage to the construction and maintenance. A Building Information Model (BIM) serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward. BIM technology accomplished quantitative development being utilized in various disciplines. However, it is necessary to develop environment and requirement for qualitative improvement of BIM based project. Particularly, requirement is very important for architectural design evaluations. The purpose of this study is to develop and apply of quality control check-list for improving the quality of architectural design in BIM environments. To achieve this purpose, the authors have investigated case study for open BIM data quality control (software, guideline and application case) and classified quality control targets according to physical/logical quality control and data quality. In addition, the authors have defined open BIM based quality control process and developed quality control check-list. Finally, the authors have developed automatic quality check system using requirements for efficient quality control based on open BIM.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.666-680
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• 2019

Prevalent usage of mobile devices among consumers has been well recognized and this is especially imperative among young adult consumers. The mobile phone became the gateway of their communication, media consumption, retail transaction, education, and (virtual) social life. However, there is little empirical research explaining the dynamics behind the psychological underpinning of young adult consumers, specifically Generation Y, to understand their usages and dependency on mobile phones. This study, therefore, aims to unveil antecedents and consequences of Gen Y consumers' mobile phone dependency from a media psychological perspective. We developed a conceptual model based on theory of self-monitoring (Snyder 1974, 1987), extended self-concept (Belk, 1988), and media dependency theory (Ball-Rokeach & Defluer, 1976). Four hundred ninety-eight students in the U.S. provided usable responses to our pencil-and-paper survey. Causal modeling analysis results demonstrated that both ability to modify one's behavior and sensitivity to cues for social appropriate behavior dimensions of the self-monitoring tendency positively predicted one's level of fashion involvement, which in turn positively predicted his/her mobile phone dependency. Individual's mobile phone dependency, fashion involvement and self-monitoring's ability dimension exhibited positive and direct impact on one's perception of the salience of mobile phone case product attributes. Based on the findings, we provided pragmatic and theoretical implications for the industry and academia.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.5
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• pp.451-461
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• 2002

Differential evolution(DE) has been preyed to be an efficient method for optimizing real-valued multi-modal objective functions. DE's main assets are its conceptual simplicity and ease of use. However, the convergence properties are deeply dependent on the control parameters of DE. This paper proposes an adaptive differential evolution(ADE) method which combines with a variant of DE and an adaptive mechanism of the control parameters. ADE contributes to the robustness and the easy use of the DE without deteriorating the convergence. 12 optimization problems is considered to test ADE. As an application of ADE the paper presents a supervised clustering method for predicting events, what is called, an evolutionary event clustering(EEC). EEC is tested for 4 cases used widely for the validation of data modeling.