• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.205-211
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• 2023

The purpose of this study is to identify what factors actually affect the turnover intentions of social workers. It is an important task to grasp the factors of turnover of the social worker through empirical analysis because the high turnover rate of social welfare workers in Korea has a negative influence on their organization and ultimately impedes the stable delivery of social welfare services. This study used the results of analyzing 100 social workers in social service companies. In fact, the data used in this study were statistically analyzed only for 82 subjects, except for 18 subjects who did not respond to the variables used. As a result, the general effects of job stress on job turnover and job exhaustion were examined as much as possible. We examined the effect of job stress, an independent variable, on the turnover and exhaustion of social workers. Specifically, job stress was divided into role, organizational, and relationship, and it was found that role - related factor job stress only affected social workers' turnover intention significantly. In addition, the relationship-related affected the exhaustion of the social worker. Therefore, in order to reduce the exhaustion of the social worker, the desirable direction to reduce the stress of the relationship-related factor should be sought.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.1-23
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• 2023

In this study, we try to discover some success factors, for the entire value chain of the O2O food delivery industry in China, from ordering to delivery. We study the influence of three aspects of the value chain, namely, (1) the mobile platform, (2) the restaurant and food and (3) the delivery service, on the perceived value and repurchase intention of customers. Using structural equation modeling, we develop a structural research model with seven sets of hypotheses relating various independent variable constructs (platform, restaurant, and delivery) and dependent constructs (perceived value and repurchase intention). We find that usefulness of mobile app, the food condition and the availability of offline restaurants were significant antecedents for perceived value and repurchase intention. In addition, fair pricing was a significant antecedent for repurchase intention.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.65-72
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• 2023

This study's purpose is to verify how the periodically designated auditor in the recently implemented periodic auditor designation system affects audit quality. In this study, hypotheses were established by reviewing previous studies, and 980 samples of 2019 and 2020 were selected for KOSPI-listed companies. Dechow & Dichev (2002)'s accrual quality was used as the dependent variable, and the effect of whether or not a company was periodically designated as an auditor and whether or not a Big 4 auditor was selected was empirically analyzed. As a result of the analysis and correlation analysis, a statistically significant difference was confirmed in the quality of the dependent variable accrual and the independent variable designated auditor (PA). However, as a result of the regression analysis model 1, it was found that the designated auditor was not significant, but it was confirmed that there was a significant difference in the control variables. Further analysis confirmed the difference in audit quality according to the Big 4 auditors. This study is significant in that it is a study that uses empirical data to study the effect of audit quality and the selection of regularly designated auditor companies after the introduction in 2019 and 2020. Due to the non-disclosure of government-designated companies, there is a limit that there may be a difference from the selection based on the researcher's published selection criteria.

• Korean Association of Arts Management
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• no.52
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• pp.135-156
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• 2019

The purpose of this study is to derive more practical and concrete policy implications for the successful implementation of the Cultural City Designation Project, which is emerging as a main topic of cultural policy. To this end, the background and implementation system of the European Capitals of Culture(ECOC), which is the subject of benchmarking in various aspects, were examined. As a result, it was confirmed that there is a possibility that the Cultural City Designation Project can reveal its limitations in the background and process, and the improvement is as follows. First, rather than creating an ideal cultural city model to achieve its goals in a short period of time, efforts should be made to secure diversity and expand insufficient infrastructure in accordance with local autonomous decisions. Second, in order to secure the continuity of the business, it is necessary to secure and educate professional manpower for organizational operation in the form of independent or direct agency of each local government. Finally, careful policy consideration should be made at the national level to balance regional interests. Therefore, there is a need for an organized 'government-level organization' that can take on the role of the city selection process, support system, and ex post evaluation. In short, successful cultural city projects require critical acceptance and efforts to remedy fundamental problems rather than benchmarking unconditional overseas cases in terms of cultural policy.

• Journal of Korea Trade
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• v.27 no.1
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• pp.139-158
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• 2023

Purpose - The study of co-movements between stock markets is a crucial area of finance and has recently received much interest in a variety of studies, especially in international finance. Stock market co-movements are a major phenomenon in financial markets, but they are not necessarily independent of the real market. Several studies support the idea that bilateral trade linkages significantly impact stock market correlations. Motivated by this perspective, this study investigates whether real market integration due to trade agreements brings about financial market integration in terms of stock market co-movement. Design/methodology - Over the 10 free trade agreements (FTAs) signed by the United States, using a dynamic conditional correlations (DCC) multivariate GARCH (MGRACH) model, we empirically measure the degree of integration by finding DCCs between the US market and the partner country's market. We then track how these correlations evolve over time and compare the results before and after trade agreements. Findings - According to the empirical results, there are positive return spillover effects from the US market to eight counterpart equity markets, except Jordan, Morocco, and Singapore. Especially Mexico, Canada, and Chile have large return spillover effects at the 1% significance level. All partner countries of FTAs generally have positive correlations with the US over the entire period, but the size and variance are somewhat different by country. Meanwhile, not all countries that signed trade agreements with the United States showed the same pattern of stock market co-movement after the agreement. Korea, Mexico, Chile, Colombia, Peru, and Singapore show increasing DCC patterns after trade agreements with the US. However, Canada, Australia, Bahrain, Jordan, and Morocco do not show different patterns before and after trade agreements in DCCs. These countries generally have the characteristic of relatively lower or higher co-movements in stock markets with the US before the signing of the FTAs. Originality/value - To our knowledge, few studies have directly examined the linkages between trade agreements and stock markets. Our approach is novel as it considers the problem of conditional heteroscedasticity and visualizes the change of correlations with time variations. Moreover, analyzing several trade agreements based on the United States enables the results of cross-country pairs to be compared. Hence, this study provides information on the degree of stock market integration with countries with which the United States has trade agreements, while simultaneously allowing us to track whether there have been changes in stock market integration patterns before and after trade agreements.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.6D
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• pp.541-552
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• 2010

The light rail transit (LRT) having bus lines as subsystem is being constructed or planned in the suburban area of metropolitans and medium size cities. However, there is difficulty in establishing the service coverage (SC) of the LRT because the LRT is a completely new transit mode in Korea. The purpose of this study is to provide the basic data and techniques to be used for establishing the SC of the future LRT by understanding the SC characteristics of buses and subways and building models to estimate the walking distances of their users. Busan City is selected as the study city and the SC's of buses and subways are surveyed simultaneously. A total of 9 variables for 82 stations are collected and the cluster analysis is conducted about the variables. The station areas are divided to three types of CBD (Central Business District), sub-CBD and regional center based on the analysis. A station in each area is selected as the study station. At the walking distance (WD) analysis for each mode, the 80 percentile WD of the subway is 672 m and that of the bus is 472 m. In comparing the SC's of both modes by the type of station areas, there are not significant differences between the SC's of sub-CBD and regional center except CBD. At analysis of the relationship between the personal attributes and the WD, for subway users the WD of female is longer than that of male and apartment residents use subway more positively than single house residents do. For the models to estimate the walking distances, the simple regression models were built employing the income as independent variable by dividing the stations into CBD abd non-CBD stations.

• Asia Marketing Journal
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• v.16 no.1
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• pp.35-69
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• 2014

The impact of competition on pricing has been studied in the context of counterfactual merger analyses where expected optimal prices in a hypothetical monopoly are compared with observed prices in an oligopolistic market. Such analyses would typically assume static decision making by consumers and firms and thus have been applied mostly to data obtained from consumer packed goods such as cereal and soft drinks. However such static modeling approach is not suitable when decision makers are forward looking. When it comes to the markets for durable products with indirect network effects, consumer purchase decisions and firm pricing decisions are inherently dynamic as they take into account future states when making purchase and pricing decisions. Researchers need to take into account the dynamic aspects of decision making both in the consumer side and in the supplier side for such markets. Firms in a two-sided market typically subsidize one side of the market to exploit the indirect network effect. Such pricing behaviors would be more prevalent in competitive markets where firms would try to win over the battle for standard. While such qualitative expectation on the relationship between pricing behaviors and competitive structures could be easily formed, little empirical studies have measured the extent to which the distinct pricing structure in two-sided markets depends on the competitive structure of the market. This paper develops an empirical model to measure the impact of competition on optimal pricing of durable products under indirect network effects. In order to measure the impact of exogenously determined competition among firms on pricing, we compare the equilibrium prices in the observed oligopoly market to those in a hypothetical monopoly market. In computing the equilibrium prices, we account for the forward looking behaviors of consumers and supplier. We first estimate a demand function that accounts for consumers' forward-looking behaviors and indirect network effects. And then, for the supply side, the pricing equation is obtained as an outcome of the Markov Perfect Nash Equilibrium in pricing. In doing so, we utilize numerical dynamic programming techniques. We apply our model to a data set obtained from the U.S. video game console market. The video game console market is considered a prototypical case of two-sided markets in which the platform typically subsidizes one side of market to expand the installed base anticipating larger revenues in the other side of market resulting from the expanded installed base. The data consist of monthly observations of price, hardware unit sales and the number of compatible software titles for Sony PlayStation and Nintendo 64 from September 1996 to August 2002. Sony PlayStation was released to the market a year before Nintendo 64 was launched. We compute the expected equilibrium price path for Nintendo 64 and Playstation for both oligopoly and for monopoly. Our analysis reveals that the price level differs significantly between two competition structures. The merged monopoly is expected to set prices higher by 14.8% for Sony PlayStation and 21.8% for Nintendo 64 on average than the independent firms in an oligopoly would do. And such removal of competition would result in a reduction in consumer value by 43.1%. Higher prices are expected for the hypothetical monopoly because the merged firm does not need to engage in the battle for industry standard. This result is attributed to the distinct property of a two-sided market that competing firms tend to set low prices particularly at the initial period to attract consumers at the introductory stage and to reinforce their own networks and eventually finally to dominate the market.

• Korea Trade Review
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• v.45 no.4
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• pp.137-152
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• 2020

The increase in national income, the expansion of transportation network, the increase in leisure time, and the influx of foreign tourists in the era of internationalization, the influx of the outside population of Jeju region increased rapidly until 2020. However, the corona 19 (Covid-19) incident that began in January 2020 has hit the entire industry, and the tourism industry in Jeju has also been greatly damaged. However, in the second half of 2020, with some calming of the Corona 19 situation and difficult to leave overseas, the number of visitors to Jeju Island is increasing again as Koreans choose Jeju Island as their domestic tourism. This study analyzed the capacity of Jeju's external population based on the Contingent Valuation Method, and based on this, attempted to suggest policy recommendations for Jeju. The size of accommodations such as the density of visitors, toilets, and rest areas were excluded from consideration, and the level of securing the parking lot already exceeded the capacity, and the rate of securing the parking lot was 93.4%. In the case of accommodation, the total number of available rooms is 88,691, even if one guest per room is assumed, which is 32,372,215 per year, which is sufficient in terms of visitor capacity. To analyze the aspects of psychological capacity, this study analyzed whether the residents are feeling psychological discomfort through three methods of road congestion, garbage disposal, and sewage treatment through Contingent Valuation Method. However, the inconvenience caused by the increase of visitors and the effect of continuous population influx is working in combination, and it has the limitation that the effects of these independent factors cannot be specifically separated. As a result of the study, discomfort has already been recognized in terms of psychological capacity among the factors of capacity, and it was estimated that a cost of about 45 billion won per year was incurred as a result of deriving psychological costs through Contingent Valuation Method. In the future, a policy review is needed to resolve or maintain the perception of this discomfort through continuous management. Accordingly, it is necessary to recognize that the increase of visitors leads to the psychological discomfort of the residents, and to seek a policy alternative that can simultaneously increase the number of visitors and the comfort of the residence.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.13-27
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• 2023

This study aims to contribute to the reduction of the failure rate and social costs resulting from business failures by analyzing factors that affect the insolvency of social enterprises, as the role of social enterprises is increasing in our economy. The data used in this study were classified as normal and insolvent companies among social enterprises (including prospective social enterprises) that were established between 2009 and 2018 and received credit guarantees from credit guarantee institutions as of the end of June 2022. Among the collected data, 439 social enterprises with available financial information were targeted; 406 (92.5%) were normal enterprises, and 33 (7.5%) were insolvent enterprises. Through a literature review, eight non-financial factors commonly used for insolvency prediction were selected. The cross-analysis results showed that four of these factors were significant. Logistic regression analysis revealed that two variables, including corporate credit rating and the personal credit rating of the representative, were significant. Financial factors such as debt ratio, sales operating profit rate, and total asset turnover were used as control variables. The empirical analysis confirmed that the two independent variables maintained their influence even after controlling for financial factors. Given that government-led support and development policies have limitations, there is a need to shift policy direction so that various companies aspiring to create social value can enter the social enterprise sector through private and regional initiatives. This would enable the social economy to create an environment where local residents can collaborate to realize social value, and the government should actively support this.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.91-99
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• 2023

This study is a descriptive study to invesigate people's perceptions of the living space in fully autonomous vehicle. Survey was conducted on 250 adults in their 20s to 60s who drive their own vehicle in Korea, and the final study subject were 204 participants who completed responses. Frequency analysis, independent sample t-test, and regression analysis were used to analyze the collected data. For the adequacy of using the four factors of mobility, adaptability, convertibility, and interactivity to evaluate the design of living space in fully autonomous vehicle, the scores of respondents were slightly higher, with an average of 3.76 points on a 5-point scale. Regarding the functions required for fully autonomous vehicle, 'sleep and relaxation' was the most common at 46.4% (130), followed by 'entertainment' at 19% (53), 'business and meeting' at 18.3% (51), and 'health monitoring' at 10.8% (30). It is expected that these study findings will be used as basis for the design of 'living space', a key element of fully autonomous mobility.