• Journal of Labour Economics
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• v.24 no.2
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• pp.63-94
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• 2001

Based on the human capital theory, the wage differentials among laborers are generated from the discrepancy of human capital stock which depends on individual laborer's decision. Hence, the wage differentials among laborers or between male and female are not the results of discrimination, but the results of individual choice. But, if the individual choice for human capital stock would be affected by the male-female discrimination, the explanation for male-female wage differentials base on the human capital stock has a bias. Actually, women have experienced in the discrimination on labor market participation due to gravity, parturition, infant rearing. Also, it is a fact that women have been discriminated against men in labor market owing to social, traditional, and cultural discriminations. If woman or her parent will less invest on human capital than man owing to the existence of discrimination in labor market, the 'expected human capital stock' instead of human capital stock will explain male-female wage differentials better. Therefore, in this study, we set up three models; first model includes working hours, industry, occupation, etc which are in general used as explanatory variables for wage decision, second model includes the variables which reflect the traditional human capital stock together with the first model's explanatory variables, third model employes the 'expected human capital stock' instead of traditional human capital stock. From the empirical test, the estimates of discrimination in three models are .93, .60, and, .48 respectively. This result implies that the male-female wage differentials in Korea can be explained by the discrepancy of 'expected human capital stock'. Since the discrepancy in expected human capital stock depend on the disparity in life-cycle labor force participation, male-female wage differentials can largely be attributed to male-female disparity in expected lifetime labor force participation.

• Journal of Labour Economics
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• v.30 no.3
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• pp.1-41
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• 2007

Since Korea experienced a 'jobless growth' in 2003, creating jobs in the service sector has been considered as a top priority employment agenda. However, despite high employment outcomes in services, labor productivity remains stagnant in the service sector in recent years. A great deal of concern has been raised regarding newly created service jobs. Critics say low productivity in the service sector will harm the engine of economic growth in our country. This paper investigates the side of the demand for quality of labor, namely, the demand for skills as one of the main source of low productivity in the service sector. To analyze the changes of skills demand, this paper suggests the concept of job-based skills instead of worker-based skills and presents the way of constructing measures of job-based skills. By means of common factor analysis using job information in the Korean Dictionary of Occupational Titles, I extract 4 direct measures of job-based skills, such as cognitive skills, physical skills, fine skills, interactive skills. These skill measures are used to explore and to test how the skill structure changed in the service sector during 2002-2006. Empirical Results show that whereas the goods sector makes progress toward upskilling being represented by increased cognitive elements and softenization of tasks, the service sector, although high-educated workers increased, exhibits trends of deskilling in the sense of job-based skills during 2002-2006 in Korea. The trend of deskilling however does not seem a general aspect in the overall service sector. Rather, it seems a compound process that high-skilled jobs are created, but, on the other hand low-skilled jobs requiring physical labor are produced at the same time.

• The Korean Journal of Applied Statistics
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• v.25 no.1
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• pp.89-99
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• 2012

This study investigates the Granger-causality between economic growth and demand for electricity in Korea, using two quarterly time-series data (real GDP and electricity consumption) for 1970:Q1 through 2009:Q4. We apply Hsiao's sequential procedure to identify a vector autoregressive model to a decision of the optimal lags in the vector error-correction model because the two time-series data contain unit roots respectively and they are cointegrated. According to the empirical results in this study, we find that Hsiao's approach to the Granger-causality indicates a bidirectional causal relation between economic growth and demand for electricity in Korea. Following the Granger and Engle's approach, we also find the statistical evidence on (1) short-run bidirectional causality between real GDP and electricity consumption, (2) bidirectional strong causality between them, and (3) long-run unidirectional causality running from demand for electricity to economic growth. Our results show an inconsistency with the existing studies on Korea's case; however, the results appear to provide more meaningful policy implications for the Korean economy and its strategy of sustainable growth.

• Journal of Korean Society of Steel Construction
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• v.23 no.6
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• pp.647-657
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• 2011

This paper describes the moment capacity of flexural members with local buckling based on a series of FE and experiment results. Thin-walled flexural members undergo local, lateral-torsional, or interactive buckling according to the section geometries and lateral boundary conditions. Flexural members with large width-to-thickness ratios in the flanges or the web may undergo local buckling before lateral-torsional buckling. Local buckling has a negative effect on the flexural strength based on the lateral-torsional buckling of flexural members. This phenomenon should be considered in the estimation of the flexural strength of thin-walled sections. Flexural members with various width-to-thickness ratios in their flanges and web were analyzed. Initial imperfections in the local buckling mode, and residual stresses, were included in the FE analyses. Simple bending moment formulae for flexural members were proposed based on the FE and test results to account for local and lateral-torsional buckling. The proposed bending moment formulae for the thin-walled flexural members in the Direct Strength Method use the empirical strength formula and the grosssection modulus. The ultimate flexural strengths predicted by the proposed moment formulae were compared with the AISC (2005), Eurocode3 (2003), and Korean Highway Bridge Design Specifications (2010). The comparison showed that the proposed bending moment formulae can reasonably predict the ultimate moment capacity of thin-walled flexural members.

• Asia pacific journal of information systems
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• v.17 no.2
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• pp.1-28
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• 2007

The success of new product development is a key factor for getting competitive advantages. Marketing research has been investigating marketing capability, manufacturing technical capability, cross-functional integration, market knowledge competence, market orientation, and competitive environment as the key success factors of new product development. Recently, the role of IT infrastructure in enhancing new product advantage is assumed in the literature. However, the empirical studies on the role of IT infrastructure are lacking. The purpose of this study is to empirically exam the impacts of IT infrastructure on new product competitive advantage. In this study, IT infrastructure is conceptualized as the flexibility of IT infrastructure. Based on previous research, a conceptual model is established by incorporating the direct impact of IT infrastructure flexibility and its indirect impact through the key success factors on new product development. To empirically test the research model, data are surveyed from a pair of IS department and Marketing department of 92 consumer goods manufacturers. By employing PLS technique, the measurement reliability and reliability of research variables are tested and the path analysis is conducted to do the hypothesis testing. The path analysis shows that IT infrastructure flexibility has no direct effect on new product advantage, However, the indirect effect of IT infrastructure is found, which is mediated by marketing capability, manufacturing technical capability, cross-functional integration, and market orientation respectively. Hence, The flexible IT infrastructure increases cross-functional integration (H1), market orientation (H3), marketing capability (H5), and manufacturing technical capability (H6). All success factors of new product development excepts for competitive environment have a positive association with new product competitive advantages (from H10 to H14). Finally, the path from IT infrastructure flexibility to cross-functional integration, to market orientation, to market knowledge capability, and to new product advantage is found as the strongest path. These results indicate that the flexible IT infrastructure enhances information sharing with multiple departments and collaboration within a distributed innovation environment. The collaboration among departments positively affects the level of customer and competitor intelligence. The ability to obtain knowledge about customers and competitors makes firms to adapt to a changing environment quickly and to respond to customers' demands adequately. The flexible IT infrastructure also enhances the capability of organization to more rapidly respond to the changes in product design resulting in faster product development and reduced costs. In addition to, it enhances marketing capability by the two-way communications with customers and the analyses of various kinds of customer data. In brief, the finding of this study suggests that the flexible IT infrastructure allows many firms to pursue sustained new product competitive advantages. This study advances research on IT infrastructure in two important aspects. First, by Integrating marketing research and IS research, this study develops a conceptual model on the role of IT infrastructure in enhancing new product advantage. Second, it empirically finds the indirect impacts of IT infrastructure on new product advantage, which confirms the potential for the IS field to contribute to new product development research. The limitations of this study are also discussed to provide research directions for future research.

• Asia pacific journal of information systems
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• v.17 no.2
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• pp.29-47
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• 2007

Owing to the rapid growth of using the Internet, not only click-and-mortar companies but also brick-and-mortar ones have been expanding their distribution channels into online, Moreover, since online channels are more attractive than offline ones in control and maintenance, switching customers into online ones is emerged as one of very important managerial issues in a view of reduction of cost as well as expansion of services. However, the switched customers should be faced by uncertainties which could not have been experienced in offline. Specifically, in online channels, buyers and sellers are separated temporally and spacially and there are always so many kinds of threat for security as well as not enough systems and conventions for them yet. Therefore, trust has been considered as one of the most critical mechanisms for resolution of such uncertainties in online transactions. However, it is not easy to build and maintain the relationships in online since most of them are virtual and indirect generally. Therefore, in order to switch offline customers into online ones, it is very important to make strategies based on identification of the relationship between online transaction and offline trust which has been built in offline business. Generally offline trust, which has been built independent of online, could not include trust for online-dependent activities such as payment security during or after transactions, while most of online trust include it. Therefore, a customer with high offline trust does not always perceive high security and assure safe transactions. Accordingly, while online trust, where technical capabilities for online security is one of main bases, includes control trust implicitly or explicitly, offline trust does not. However. in spite of such clear discrimination and independence between offline trust and perceived security, there can be the significant dependency between these two beliefs. The customers with high offline trust believe that the company would do some activities for online security for customers' safe transactions since it has been believed of doing well for customers' trust. Theoretically, users' perception of security is interpreted as a kind of control trus, which is trust for company's technical control capacities in order to resolve technical uncertainties in online. Therefore, the relationship between two beliefs can be considered as transference from offline trust to another type trust. that is, control trust. The objective of this study is to analyze the effect of offline trust on online transaction uses mediated by perceived security. For this purpose, we suggest a research model based on technology acceptance model (TAM). Reuse intention is adopted as a dependent variable and TAM is modified by adding perceived risk (PR) as well as two beliefs of using Internet banking, perceived usefulness (PU) and perceived ease of use (PEOU). Moreover, perceive security (PS) is adopted as an external variable for PR and PU, while offline trust (OT) is an antecedent of PS. For an empirical test, sampling from 108 visitors to the banks in Daegu, Korea, we analyze our model by partial least square (PLS) approach. In result, our model is shown to explain 51.4% of the variance in reuse intention and all hypothesis are supported statistically. A theoretical implication of this study is to identify a role of PS between offline trust and reuse intention of using online transaction services. According to our result, PS can be considered as a mediation variable for bridging between two different concepts: trust that explains social aspects of customers and companies, and TAM that explains customers' reuse intention.

• Information Systems Review
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• v.18 no.2
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• pp.107-125
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• 2016

With the rapid growth of the mobile application market, mobile donation applications have emerged as a new type of application that enables users to donate without actual payments. To date, limited research has been conducted to provide guidelines on how to design new types of mobile donation applications. Using cause-related marketing theory as theoretical framework, this study aims to identify the features of mobile donation applications that increase the intention of users to use such applications. To achieve this goal, we conducted two experiments. The results of an ANOVA test in the first experiment showed that indirect mobile donation applications (i.e., applications without actual payment) have a stronger positive effect on perceived effectiveness and cause involvement than direct mobile donation applications (i.e., applications with actual payment). In addition, perceived effectiveness and cause involvement yield positive effects on the intention to use mobile donation applications. The results of the second experiment showed that indirect mobile donation applications with utilitarian functions have a greater positive effect on perceived effectiveness and cause involvement than mobile donation applications with hedonic functions. These results contribute to mobile application and donation research as well as provide guidelines for practitioners on the design of mobile donation applications.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.1
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• pp.27-40
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• 1998

This paper addresses the suitability of GPS positioning technology to monitoring deformation and movement of structures. The first part of the study is an empirical quantitative study of the repeatability of GPS observations and the second part is a performance evaluation of kinematic GPS, which requires only a few minutes per a point, for monitoring deformation of an engineering structure. On the test network for monitoring of a earth am, four observations have been conducted repeatedly on different seasons and water levels. The reference network was observed in static mode, and monitoring points were observed respectively in rapid-static mode as well as in kinematic mode in each epoch and then the results were compared with those obtained by conventional surveying techniques. The repeatability of baseline vectors to better than average 7 mm in three dimensions was achieved in base line observations between reference points and also the unclosure of reference networks showed the range of 4 ppm to 27 ppm. Compared with conventional surveying techniques, the kinematic approach showed the differences of 3∼4 m in slope distances which were observed from reference points to monitoring points, and showed the differences of 4∼8 m in height. It was ascertained that the kinematic GPS technology provides an efficient alternative to deformation monitoring by conventional means which are capable of detecting movements in the order of 5 mm.

• Journal of Preventive Medicine and Public Health
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• v.37 no.4
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• pp.381-389
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• 2004

Objective : To compare the efficacy between SKI306X and Diclofenac by using generalized estimating equations (GEE) methodology in the analysis of correlated bivariate binary outcome data in Osteoarthritis (OA) diseases. Methods : A randomized, double-blind, active comparator-controlled, non-inferiority clinical trial was conducted at 5 institutions in Korea with the random assignment of 248 patients aged 35 to 75 years old with OA of the knee and clinical evidence of OA. Patients were enrolled in this study if they had at least moderate pain in the affected knee joint and a score larger than 35mm as assessed by VAS (Visual Analog Scale). The main exposure variable was treatment (SKI 306X vs. Diclofenac) and other covariates were age, sex, BMI, baseline VAS, center, operation history (Yes/No), NSAIDS (Y/N), acupuncture (Y/N), herbal medicine (Y/N), past history of musculoskeletal disease (Y/N), and previous therapy related with OA (Y/N). The main study outcome was the change of VAS pain scores from baseline to the 2nd and 4th weeks after treatment. Pain scores were obtained as baseline, 2nd and 4th weeks after treatment. We applied GEE approach with empirical covariance matrix and independent(or exchangeable) working correlation matrix to evaluate the relation of several risk factors to the change of VAS pain scores with correlated binary bivariate outcomes. Results : While baseline VAS, age, and acupuncture variables had protective effects for reducing the OA pain, its treatment (Joins/Diclofenac) was not statistically significant through GEE methodology (ITT:aOR=1.37, 95% CI=(0.8200, 2.26), PP:aOR=1.47, 95% CI=(0.73, 2.95)). The goodness-of-fit statistic for GEE (6.55, p=0.68) was computed to assess the adequacy of the fitted final model. Conclusions : Both ANCOVA and GEE methods yielded non statistical significance in the evaluation of non-inferiority of the efficacy between SKI306X and Diclofenac. While VAS outcome for each visit was applied in GEE, only VAS outcome for the fourth visit was applied in ANCOVA. So the GEE methodology is more accurate for the analysis of correlated outcomes.

• Journal of Korean Society of Transportation
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• v.29 no.5
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• pp.91-104
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• 2011

According to statistics, drunk drivers who repeatedly violate the DUI (Driving under influence) regulation have been continuously increased, and now the habitual drunk drivers become a societal problem. Employing a confirmative factorial analysis of structural equation model to analysis psychological characteristics of habitual drunk drivers and also seek countermeasures, this study identify the difference among three different groups of drivers: 1) sober drivers, 2) drivers with a DUI violation record, and 3) drivers with more than two records. The results of this study are as follows: First, remedies and educational contents to rectify drunk drivers can be differentiated according to their drunk driving records. Second, using defense mechanism (e.g., rationalization, projection, sublimation), drunk driving psychology (such e.g., sense of guilt, shame, embarrassment) and self-esteem (e.g., affirmation, denial) as theory variables, a Structural Equation is constructed to represent Psychological Characteristics of drunk driving according to records on drunk driving. Third, as a result of analysis of the Psychological Characteristics Model, measures for prevention and reduction of drunk driving suitable for the characteristics of respective group are also suggested. Forth, drunk driving measures based on drinking individuality are complemented by concurrence analysis on records of drunk driving records and National Alcoholism Screening Test (NAST) score. Also, two or more times recorded drunk drivers are classified as inveterate drunk drivers.