• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.245-263
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• 2006

Since the beginning of discussions on serial collection management, as budgets have waxed and waned over the ensuing decades, a number of key variables affecting selection/deselection have emerged but without the framework of a coherent and accepted theoretical model. This study is an effort to identify variables which affect the serial collection decision with special attention to selection/deselection in the context of an academic health science library. Based on results from correlation analyses and logistic regression analyses, the serial collection decision can be explained and predicted using various combinations of a reduced set of objective variables. Applications of the results to libraries are discussed, and further research is proposed.

• The Journal of Information Systems
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• v.28 no.4
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• pp.105-129
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• 2019

Purpose Issues related to information security have been a crucial topic of interest to researchers and practitioners in the IT/IS field. This study develops a research model based on a Structure-Conduct-Outcome (SCO) framework for the social exchange relationship between employees and organizations regarding information security. Design/methodology/approach In applying an SCO framework to information security, structure and conduct are activities imposed on employees within an organizational context; outcomes are activities that protect information security from an employee. Data were collected from 438 employees working in manufacturing and service firms currently implementing an information security policy in South Korea. Structural equation modeling (SEM) with AMOS 22.0 is used to test the validation of the measurement model and the proposed casual relationships in the research model. Findings The results demonstrate support for the relationships between predicting variables in organization structure (security policy and physical security system) and the outcome variables in organization conduct (top management support, security education program, and security visibility). Results confirm that the three variables in organization conduct had a positive effect on individual outcome (security knowledge and compliance intention).

• Journal of the Korean Home Economics Association
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• v.44 no.12
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• pp.65-78
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• 2006

It is very important for consumers to control their buying impulse the modem market environments because of the enormous marketing pressure to induce consumers to buy. In this context, we investigated (i) the relevant factors to construct the strategies for restraining buying impulse, (ii) the frequency with which the strategies are used, and (iii) the variables related to the strategies. Data were gathered through an internet survey(azoomma.com) and total 626 cases were analysed. Self-control strategies prior to the buying impulse comprise four categories: restricting the means of payment and transportation, avoiding shopping stimulus, no-wandering around a shop, and planning a purchase. Self-control strategies after the buying impulse comprise five categories: normative assesment of impulse buying, reconsidering economic condition, postponing purchasing decision, distrusting marketing activities, and partially satisfying buying impulse. Most of married women use these strategies very often, and some psychological variables are more related with them than demographic variables. Based on findings some implications for consumer education are also discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.219-229
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• 2020

The study investigates the factors affecting the profitability of listed commercial banks in Vietnam. Survey data for this research were collected from 10 Vietnamese listed commercial banks for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being listed commercial banks' profitability results measured through ROA. The research methods used include descriptive statistics, IV regression and OLS regression analysis, and the authors carried out the model verification with Stata 14 software. The results showed that operating efficiency, loans size, retail loans ratio, state ownership, inflation rate, and GDP growth are factors that have a positive impact on profitability On the other hand, variables such as capital size, credit risk, liquidity risk, bank size, and revenue diversification are statistically insignificant; hence, these variables are not statistically adequate to indicate the influence of those independent variables to banks' profitability. The findings of this study suggest that the quality of assets should be considered in the context that bad debt risks come from lending heavily to the real estate sector. Meeting Basel II's capital compliance requirements is relatively difficult for small listed commercial banks compared to bigger listed commercial banks in Vietnam.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.375-380
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• 2021

Internal control is important for monitoring operations of organizations. In order to achieve the quality of internal control, organizations need to recognize different perspectives in which the components of internal control play a decisive role. Internal control is a process designed by the manager and it is applied within the organization to provide reasonable assurance of the reliability of financial information and to comply with policies, procedures, rules, regulations and laws. The article uses the ordinary least squares method and the seven-point Likert scale to test the variables affecting the quality of internal control in 18 Vietnamese listed banks. The article surveyed 179 leaders of listed banks. The results show that there are three variables out of a total of five variables that positively affect the quality of internal control, including the control environment, control activities, and monitoring. Accordingly, the managers of Vietnamese listed banks need to pay attention to building a corporate culture environment, improve the quality of control activities, and periodically and regularly conduct the monitoring. It contributes to improving the quality of internal control and is also an opportunity to increase economic benefits for Vietnamese listed banks in the context of international economic integration.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.15-26
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• 2019

The development of science and transportation technology leads to the increase of inter - city networks that play an important role in urban growth. Overall, numerous studies based on network theory pay attention to positive effects of urban network on urban growth. However, some studies have pointed out the negative effects of inter-city interactions such as straw effects. This implies that the network between cities may not be positively correlated with urban growth, and that the direction of the influence may vary from a certain threshold, such as the marginal utility curve. In this context, the purpose of this study is to measure the impacts of network with central city on urban growth in the capital region and examine the relationship between urban network and growth. Two multiple regression models are employed with changes in population and employment as dependent variables. The urban network index and other control variables are used as independent variables. Especially, the urban network indexes are used in quadratic forms to examine non linear relations with urban growth such U-shape or an inverted U-shape. The results show that the relationships between networks with the central city and urban growth are not a simple linear, and the influence can be changed from the critical point.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.295-303
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• 2022

Information and communication technology (ICT) is one of the primary zones that stimulates economic development in today's globalized world. It promotes technological developments in worldwide communication and manufacturing systems, as well as economic growth and development. Many economic activities, such as international trade and foreign direct investment, rely heavily on contemporary information and communications technologies (FDI). The goal of this study is to look at the dynamic relationship between FDI, ICT, trade openness, and economic growth in the context of BRICS countries from 2000 to 2018, with Gross Domestic Product as the dependent variable and Telephone subscriptions, Mobile subscriptions, Broadband subscriptions, Internet subscribers, Secure internet servers, Trade, and Foreign direct investment as the independent variables.Two variables are used as proxies to manage the macroeconomic environment, while five variables are used as proxies for ICT infrastructures. The outcomes of this study are analyzed using Generalized Methods of Movements (GMM). According to this study, ICT has a positive impact on the economic growth of a few countries. Trade openness and foreign direct investment, on the other hand, have a negative impact on economic growth. As growing countries, the BRICS must participate in economic reform and liberalization measures. This report suggests policy proposals for improving ICT standards, focusing especially on economic growth, trade openness, and increasing foreign investment in the BRICS countries.

• Journal of Distribution Science
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• v.20 no.10
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• pp.11-17
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• 2022

Purpose: This research aims to find the link between public service Distribution and individual job performance in the provincial municipality. Research design, data, and methodology: This is a quantitative approach study with a non-experimental and correlational design. The sample consisted of 140 employees appointed and hired by the provincial municipality of Huaraz. For data collection, Two questionnaires with an ordinal Likert-type scale and the Rho Spearman correlation coefficient were used to assess the link between the research variables., For Analysis: two questionnaires with an ordinal Likert-type scale and the Rho Spearman correlation coefficient were used to determine the connection between the research variables. Results: It was determined that both variables have a high degree of correlation (0.725), indicating a direct and significant relationship between the Distribution of public service and skill performance in the provincial municipality (0.614). Conclusion: Finally, this allows us to conclude that the institutional context is essential; that is, there is a significant correlation between the PSM and contextual performance in the provincial municipality of Huaraz, which has a Rho Spearman value of 0.723.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.844-855
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• 2011

The purpose of this study is to identify factors on the user's intention of reusing mobile app-based tourism contents and the relationship among those factors. For those purpose, we expanded the existing TAM(Technology Acceptance Model) by introducing the variables such as characteristics of mobile app-based tourism contents, which are context, ubiquitous connectivity, service quality and perceived value as external variables of the TAM. The survey was conducted by users who have previously experienced mobile app-based tourism contents. Structural equation modeling was used to Investigate the relationships between the factors. The results showed that the ubiquitous connectivity and perceived value were found to have a positive impact on both perceived usefulness and perceived ease of use. The perceived usefulness were found to have a positive impact on the attitude. Finally, The attitude were found to have a positive impact on the user's intention of reusing.