• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.35-49
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• 2021

The purpose of this study is by using the Grounded Theory method to examine the process of starting a business in an online shopping mall for young self-employed people with experience in using Company N's Partner Square (Gwangju), a startup infrastructure institution. In this study, in-depth interview survey data were used, and theoretical sampling method was used in the selection of study participants. After proceeding in the order of open coding, axis coding, and selective coding suggested by Strauss & Corbin, it was analyzed with a paradigm model. The main research results are as follows. First, even when parents were unaware about online shopping malls or had a negative mindset about it, but they had a positive mindset about their children's start-ups, it was found that their children tended to start online shopping mall businesses. However, if parents had a negative mindset about online shopping malls and about their children's start-up, then the child could not start an online shopping mall business. Second, it was found that the ability to use online shopping malls is important as a condition for entrepreneurship and achievement in online shopping malls for young people. In particular, Partner Square (Gwangju) was found to increase the ability to use online shopping malls and positively influence startups in online shopping malls. Third, it was found that young people have increased their self-esteem, discovering opportunities, and reinforcing their creativity, in addition to simply increasing their sales after starting the online shopping mall.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.155-166
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• 2021

This study examined the spillovers (economics) of domestic varieties. The analysis model used the supply-driven of inter-industry analysis (input-output analysis), and the scope of the study was limited to the varieties developed by rural development agencies. The spillovers were analyzed by dividing into the effects on production inducement and employment inducement. First, the effects on production inducement were the largest in Sindongjin, a rice variety, with 49,599.3 billion won. Seolhyang, a strawberry variety, was the second largest with 32,936.9 billion won. On the other hand, Baekma, a flower variety, was small at 87.7 billion won. On the other hand, this is a very large number considering the small area of cultivation of flowers and how most of the flower varieties depend on overseas varieties. Second, the effect on the employment inducement coefficient appeared in a similar order to the effect on production inducement. Sindongjin was the largest with 756,682, and Seolhyang was 701,403. Baekma was analyzed as 1,582 people. The results are of great significance in that it quantitatively analyzed the spillovers of the varieties developed by rural development agencies and ensured a justification for the development of varieties by national institutions through their value.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Management & Information Systems Review
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• v.30 no.3
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• pp.1-25
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• 2011

The purpose of this study was to examine the impact of the service characteristics of premium information contents, one of premium Internet contents, on customer satisfaction and customer loyalty, as the premium Internet contents market has attained a rapid growth owing to the nationwide penetration of the Internet and its ease of use. Earlier studies were analyzed to define the service characteristics of premium Internet information contents, and a research model and hypotheses were formulated to find out the influence of the characteristics on customer satisfaction and customer loyalty. After a survey was conducted, the analyzable answer sheets from 359 respondents were analyzed. As a result, four service factors of premium Internet information contents that were reliability, charge, usefulness and convenience were identified as the variables that had a significant impact on customer satisfaction, and the other two factors that were timeliness and diversity exerted no influence on that. And customer satisfaction affected customer loyalty in a significant manner. This study attempted to investigate the influential relationship of the diverse service characteristics of premium Internet information contents on customer satisfaction and customer loyalty to have a good understanding of the attitude and will of consumers who bought the premium information contents, and this study also intended to make a contribution to the improvement of the quality of information contents in an effort to step up the revitalization of the Internet contents market by helping the market attract more loyal customers.

• Korean Business Review
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• v.23 no.2
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• pp.31-52
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• 2010

The casinos and gaming sector consists of all forms of betting, including commercial, state-run, and charitable operations. The casinos segment comprises gambling in casinos, and includes gaming machine gambling where this occurs on casino premises. The gaming segment covers all other forms of gambling, including national and other lotteries, racing and sports betting, bingo, pachinko, and gaming machines where these are not located on casino premises. All values are stated in terms of gross gaming win. This is the total amount waged by customers minus the total amount paid out to customers as winnings, but before the payment of any applicable taxes, disbursements to charitable or other causes by games established for those purposes, or other expenses. The South American casinos & gaming sector posted strong growth in 2009 and this growth is expected to accelerate during the forecast period. The South American casinos & gaming sector generated total revenues of $9.6 billion in 2009, representing a compound annual growth rate(CAGR) of 15% for the period spanning 2005-2009. In comparison, the Argentinian and Chilian sectors grew with CAGRs of 17% and 21.9% respectively, over the same period, to reach respective values of $2.2 billion and $93.7 million in 2009. The other gaming segment was the sector's most lucrative in 2009, generating total revenues of $7.1billion, equivalent to 74.1% of the sector's overall value. The casino segment contributed revenues of $2.5billion in 2009, equating to 25.9% of the sector's aggregate revenues. The performance of the sector is forecast to accelerate, with an anticipated CAGR of 20.4% for the five year period 2009-2014, which is expected to drive the sector to a value of $24.3 billion by the end of 2014. Comparatively, the Argentinian and Chilian sectors will grow with CAGRs of 10.2% and 7.3% respectively, over the same period, to reach respective values of $3.6 billion and $133.6 million in 2014.

• Management & Information Systems Review
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• v.29 no.2
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• pp.75-96
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• 2010

In the recent years the society has entered the stage of informatization, the base of informatization has expanded, and the internet users have exploded, which has led to revolutionary changes to all across business management of the world. The influences of customer value and satisfaction were reviewed on a web site, and their subsequent impacts on customer loyalty were suggested. It was also analyzed how the concept of sales promotion that was set as a moderating variable affected the characteristics of a web site, customer value and satisfaction, and correlations between customer value and satisfaction. Finally based on the analysis results, practical strategic alternatives were suggested. Accordingly a web site provider can't afford to ignore sales promotion just because it doesn't have modulating effect because the customers will turn to his or her competitors. It's important to make ongoing efforts into techniques of sales promotion to meet the expectations of clients.

• Management & Information Systems Review
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• v.36 no.4
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• pp.103-116
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• 2017

The objective of this study is to examine the effect of the serve employee which is thought as important but has not been studied almost on the response actions to the customer and organization. we tried provide the administrative implications for the black consumer management. This study built a exploratory empirical model that there is causal relationship of the service sector employee on the attitude to the customer and organization on the base of the exploratory consideration. To test hypotheses empirically, the questionnaire data were collected from 262 members of service sector in Busan and was analyzed by using Regression Analysis. Results of empirical analysis are as follow. 1) perceived black consumer behavior which service sector employee has the significant positive effect on the misbehavior to the customer. looking in detail, repetitiveness, insistence, deception, excessiveness are significant positive effect on the misbehavior to the customer. 2) perceived black consumer behavior which service sector employee has the significant positive effect on the misbehavior to the organization. looking in detail, excessiveness only have a positive effect on the misbehavior to the organization. 3) The significance of this study indicates that encourage plays a role as moderating variable influencing the relationship between perceived black consumer behavior and employee misbehavior. Specifically, The significance of this study indicates that encourage plays a role as moderating variable influencing the relationship between perceived excessiveness which the demension of the black consumer behavior and employee misbehavior. Lastly, this study suggested the implication of the result, the limitation and the direction of future study. The results of this study provide suggestion to the company.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.338-346
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• 2020

In this study, we first measured the Malmquist productivity index by DEA among the Korean ocean carriers. Second, it was intended to present measures to improve productivity by identifying the influence and discriminating power between productivity and the major financial ratios (profitability, financial stability, liquidity, efficiency and value-added productivity). Compared to 2017, there are 11 more shipping carriers with decline in productivity (MPI) than those with an increase in 2018. The increase in productivity is attributed to an increase in the Technology Change Index (TCI) affected by the external environment. There is strong significant correlation between the productivity (MPI) and the management efficiency (CRS). Additionally, the TECI (TECHI) index of the technological efficiency changes from internal factors of the shipping carrier is significantly higher than that of the efficient shipping carrier. This is because of the differences in scale efficiency. The ratio of charter cost/sales is also lower than that of the carriers with high productivity (0.17) and with low productivity (0.21). With 7% of the shipping carrier with MPI>1, only 1% of MPI <1 is found to have a significant impact on its productivity.

• Management & Information Systems Review
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• v.37 no.2
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• pp.209-233
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• 2018

This study investigates the question of how political and economic factors may affect the export of renewable energy technologies. The relationships are tested using panel data for 19 OECD member countries over the period 1992-2012. Before establishing the empirical model, the current study checks the characteristics of the panel data, which includes various panel framework analyses, such as tests for the presence of normality, structural breaks, first-order autocorrelation, heteroscedasticity, cross-sectional dependence, panel unit-root. From the panel framework analyses, a dynamic panel model is established to test the relationship between the variables examined in this study. In order to reduce the bias of the estimation of the dynamic panel model and obtain efficient parameters, this study uses the bias-corrected least square dummy variable(LSDVC) estimator to estimate the empirical model. The results of this study show that governmental policies expressed as coercive pressure and market size positively affect the export growth of renewable energy technologies. However, public pressure and traditional energy industry have no significant effects on export performance. Policy implications are presented based on the results of this study.