• Land and Housing Review
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• v.14 no.4
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• pp.39-46
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• 2023

This study explores the interrelationship between 'KRX Construction' and 'Business Survey Index'. KRX Construction is a leading economic indicator of construction industry, implying the potential interdependence with BSI Construction. Previous papers have investigated the relationship between the released stock price index and BSI. Using Granger causality tests, this study investigates how the BSI Construction is associated with the trend and noise-trading components of KRX Construction, respectively. The decomposition of KRX Construction of trend and noise-trading is based on the state-space model. The results document unilateral Granger causalities from released KRX Construction, trend component, noise-trading component to BSI Construction. In sum, this study demonstrates that construction company CEOs view stock price index as a leading economic indicator.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.107-115
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• 2020

This study is concerned with the relationship between firm's ownership structure and the co-movement of the stock return with the market return. Four different types of firm ownership, including managerial ownership, state ownership, foreign ownership, and concentrated ownership, are among the main features of the company's governance mechanism and have been separately documemented in the previous research to understand their impact on stock price synchronicity. We constructed the regression model, using stock price synchronicity as the dependent variable and the above four components of ownership structure as explanantory variables. The pooled OLS, the fixed effects model, and the random effects are employed to investigate the outcome of the study. Data used in the reserch are of public firms listed on the Ho Chi Minh City Stock Exchange (HOSE) during the five-year period term from 2015 to 2019. The data sample contains 235 companies from 10 industries with 1135 observations. The results revealed by the fixed effects model, the large ownership and the managerial ownership are found to have adverse effect on the stock price synchronicity, whereas the foreign ownership model is revealed to have positive influence on the stock return co-movement. The effect of the state ownership on the stock price synchronicity is not confirmed.

• Journal of Distribution Science
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• v.10 no.11
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• pp.39-53
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• 2012

Purpose - This study identifies relationships amongst repurchase intentions, brand equity, and preference by applying VMD of fashion retail stores. The results would help coffee shop owners and coffee makers in devising an appropriate strategy for successfully managing coffee shops. Research design, data, methodology - The VMD model of a coffee shop includes harmony, trend, and attractiveness, while brand equity encompasses brand awareness, perceived quality, and brand image. In this study, the VMD factors of coffee shops, brand equity, and brand preference, are shown as independent variables, while repurchase intention is shown as the dependent variable. The study aims to ascertain the extent of the influence configuration factors of a coffee shop have on brand equity, brand preference, and repurchase intention. Regression analysis was used to verify the mediating effects of brand preference on brand equity and repurchase intention. The measurement items were already deemed as reliable and valid in the previous study, but some modifications were made for the purposes of this study. Questionnaires were distributed to 550 consumers on a national scale, and 517 consumers amongst these were finally used as a sample for analysis using the SPSS 17.0 statistical program. Results - First, amongst the VMD configuration factors of a coffee shop, trend, and attractiveness have a positive impact on brand equity (brand awareness, perceived quality, and brand image). Second, brand equity has a positive effect on brand preference. Third, brand preference has a positive effect on repurchase intention. Fourth, brand preference plays the role of a mediator in measuring the impact of brand awareness and brand image on customers' repurchase intentions. Conclusions - The theoretical implications can be summarized as follows. First, this study proposes a theoretical basis that can be adapted to the VMD configuration factors of a coffee shop by identifying the relationship between brand equity and coffee shops. This study applies the VMD factors to the coffee shops and presents a new research model by examining the relationships amongst VMD components of coffee shops: brand equity, brand preference, and repurchase intention. Second, it clearly establishes the relationship between brand equity and brand preference by identifying the mediating effects of brand preference, given that brand equity has a positive impact on repurchase intention. The practical implications are as follows. First, development of brand equity and management can be important components for coffee shops in determining that the VMD configuration factors of coffee shops have an impact on brand equity. Second, amongst the VMD configuration factors, attractiveness and trend have a positive influence on choosing coffee shops, therefore store atmosphere should be attractively designed, while the menu and interiors should complement each other and be reviewed periodically to conform to the latest trend. Third, VMD configuration factors that are confirmed are not easily changed. Fourth, large franchises and foreign companies have strengths in scale, locations, and brand. Fifth, the different ways of campaigning should be compared to those of large franchises and foreign companies in order to increase brand equity using VMD configuration factors.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.287-297
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• 2009

Though the interest for the construction of ubiquitous city (u-City) has been increased in many researches, many of those efforts are still done somewhat separated ways such as from the perspective of architectural design of urban city or from the perspective of underlying ICT (Information and Communication Technology) implementation. Since there are various services and technical components involved in u-City implementation, those separated approaches can cause much troubles while implementing u-City. In addition to this, because u-City components are continually changing and expanding, to cope with this evolution, many researches about the infrastructure of u-City should be done in a systematic way while integrally considering various perspectives of u-City. In this research, by combining WBEM/CIM standards to GMA (Grid Monitoring Architecture), we could provide WBEM/CIM design that is usable for u-City implementation. In contrast to the conventional research that is still abstract, our study presents concrete and implementable u-City infrastructure model. We hope our result will be a valuable reference for the other u-City infrastructure-related researches.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.37-49
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• 2008

Services are reusable units in business level. Ubiquitous computing provides computing services anytime and anywhere. The combination of both is becoming an important paradigm of computing environment. Fundamentals of services require flexibility and interoperability, and key elements of ubiquitous modeling require interoperability and context-awareness. There are two kinds of methods to identify services. The top-down approach is based on business process, and the bottom-up approach is based on components. The first approach depends on experts' intuitions, while the second approach suffers the incapability of expressing non-functional expression through components. Although a feature-based approach is capable of expressing non-functional expression and identifying services in ubiquitous environment, the research on this issue is not adequately addressed by far. To promote this research, this paper proposes a feature-based method to identify services in ubiquitous computing. The method extracts initial-candidate-services from a feature model. Then, the ultimate services are identified through optimizing and analyzing the candidate-services. The proposed method is expected to enhance the service reusability by effectively analyzing ubiquitous domain based on feature, and varying reusable service units.

• The Journal of Society for e-Business Studies
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• v.10 no.4
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• pp.83-100
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• 2005

In this paper, we investigate the concept of cyber identity built in cyberspace and analyze the effects of general perception toward cyber identity on loyalty and purchase intent. Cyber identity is classified into two types: personal and social cyber identity, and has five components. Avatars and online gaming capability make up personal cyber identity while online communities and instant messenger count as social cyber identity. We regard blog personalities as having both personal and social characteristics. In our survey, we conclude that internet users want to purchase cyber items such as avatars, online game items, and wallpaper pictures to enhance their cyber identities. Based on the survey results , we derive five factors comprising personal cyber identity and social cyber identity using factor analysis and analyze overall effects of cyber identity on loyalty and purchase intention using Structural Equation Model.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.101-116
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• 2019

In this paper, we propose a novel behavioral model that explains the use of the military battlefield management system more effectively in the non-voluntary use environment. This study intends to suggest a model based on the Unified Theory of Acceptance and Use of Technology(UTAUT), an extended TAM. Also, it introduces the concept of 'Conative IS use' as a dependent variable that can explain user's behavior more effectively in non-voluntary technology acceptance environment. In addition, we propose the major factors affecting the UTAUT components from the TOE(Technology-Organization-Environment) perspectives, and analyze their effects. In order to validate the proposed model, this study applies PLS(Partial Least Squares) to the survey collected from military personnel. The findings of our study may shed a light on improving the effectiveness of battlefield management information system.

• Proceedings of the CALSEC Conference
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• 1997.11a
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• pp.263-268
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• 1997

Functional Modeling methodology, IDEF0 is widely used for modeling, analysis and description of enterprise system. The limitation of modeling components restricts applicability and give rise to confusion about model. In this paper, we propose new method to extend IDEF0. The first is adding modeling components which are semantic representations. In addition to ICOMs, we add the time and cost component which is required to execute the function. The second is tracing mechanism. When we need some information, we drive the functions related with the information by reverse tracing of the function which produces the information as a output and input. Through the tracing, we find out the bottleneck process or high cost process. Finally, we suggest the final decomposition level. We call the final decomposed function into unit function which has only one output data. We can combine and reconstruct some of functions because an unit function is similar to ‘lego block’. To reach the integrated system, the main problem to be solved is the integration of information produced by different functional subsystem. This can be resolved when the creation of data must be dependent on only one function. Through view integration of function output, we can guarantee the integrity of data.

• Journal of Distribution Science
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• v.18 no.3
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• pp.5-14
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• 2020

Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.127-143
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• 2016

This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.