• Knowledge Management Research
• /
• v.23 no.2
• /
• pp.211-228
• /
• 2022

As social media marketing becomes prevalent, it is necessary to understand the administrative role of managers in promoting user engagement. However, little is known about how community managers enhance user engagement in social media. In this research, we study how managers can boost online user participation, including clicking likes and writing comments. Using the SUR (Seemingly Unrelated Regression) model, we find out that the active participation of managers increases user engagement of both passive (likes) and active (comments) ones. In addition, we find that the number of emotional words included in posts has a positive effect on the passive engagement whereas it negatively affects the active engagement. Lastly, the congruency between posts and comments positively affects users' passive engagement. This study contributes to prior literature related to online community management and text analyses. Furthermore, our findings offer managerial insights for practitioners and social media managers to further facilitate user engagement.

• KDI Journal of Economic Policy
• /
• v.22 no.1_2
• /
• pp.3-55
• /
• 2000

본 연구는 세입증가율 예측을 위해 사용되는 각종 세수추계모형의 예측능력을 상호비교하는 데 목적이 있다. 본 연구에서 고려하는 세수추계 방식은 네 가지이다. 첫째는 단순 ECM 모형으로서 오차수정모형(error correction model)을 각각의 세목에 적용하여 세수를 예측하는 것이다. 둘째는 SUR-ECM 모형으로서 단순 ECM 모형의 개별 회귀방정식을 통합하여 SUR(Seemingly Unrelated Regression) 방식으로 추정한 후 이를 이용하여 세수를 예측하는 것이다. 셋째와 넷째는 흔히 사용되는 탄성치 방식으로서, 과거의 연도별 탄성치를 5년간 또는 10년간 평균하여 이를 바탕으로 향후의 세수를 예측하는 것이다. 이러한 모형비교를 통해 얻은 결과는 다음과 같이 요약될 수 있다. 첫째, 단순 ECM 모형과 5년 평균 탄성치 모형은 예측력에 있어 큰 차이가 없다. 둘째, SUR-ECM 모형과 10년 평균 탄성치 모형은 예측력에 있어 큰 차이가 없다. 셋째, 단순 ECM 모형보다는 SUR-ECM 모형의 예측력이 높으며, 5년 평균 탄성치 모형보다는 10년 평균 탄성치 모형의 예측력이 높다. 넷째, 어느 경우에든 예측 오차가 상당히 크고 이러한 오차는 예측시계가 넓어질수록 커진다. 예를 들어, 5년 후의 세수에 대한 예측치는 평균적으로 오차의 절대값이 10% 수준에 이른다. 탄성치 모형이 단순 ECM 모형이나 SUR-ECM 모형에 비해 그리 나쁜 예측결과를 낳지 않는다는 것은 새로운 사실이다. 또한 5년 평균 탄성치보다 10년 평균 탄성치를 사용하는 것이 더 나은 예측치를 낳는다는 것은 세수예측에 있어 최근의 자료만을 사용하는 것보다는 과거 꽤 오랜 기간의 자료를 사용하는 것이 바람직하다는 점을 시사한다.

• Ocean policy research
• /
• v.34 no.2
• /
• pp.1-28
• /
• 2019

The purpose of this study is to analyze the substitution among production factors of Korean distant water longline fisheries in IATTC waters. In the analysis, the translog function which have one output variable of total cost and input variables of labor, fuel, fishing gear, and capital was established and it was transformed into simultaneous equations by each cost. Then, variables of equations were estimated by SUR (seemingly unrelated regression) model. Since distant water longline fisheries is a fishing type with high fuel usage, substitution of fuel with other factors was mainly analyzed. Results showed a substitute relation between fuel and labor as well as fuel and fishing gear, while a complementary relation between fuel and capital. In addition, it was analyzed that magnitude of fuel elasticity with other factors would be inelastic.

• Journal of Biosystems Engineering
• /
• v.31 no.3 s.116
• /
• pp.194-202
• /
• 2006

Using a multi-variable linear regression technique and SUR(seemingly unrelated regression) model, the demand functions of tractor, combine and rice transplanter were estimated. The demand was regarded as an annual supply of each machine and modeled as a function of 11 independent variables which reflect the actual farmer's income, actual prices of farm machines, previous supply, previous stock, actual amount of available subsidy, actual amount of available loan, arable land, import of farm machines and rice price. The actual amount of available loan affects most significantly the demand functions. The actual farmer's income, actual farmer's asset, loan coverage, and rice price affect the demand positively while prices of farm machines and import negatively. The annual demands of tractor, combine and rice transplanter estimated using the demand functions were also presented over the next 4 years.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.14 no.4
• /
• pp.62-72
• /
• 2015

Nowadays the issue of aging society has received considerable critical attention, especially in transportation planning and demand forecasting. This study identified the factors related to travel time budget for elderly by purpose using seemingly unrelated regression model (SUR model). The SUR model is suitable when error terms of each equation are assumed to be correlated across the equations in terms of travel time budget which is constant in 2 hours per day commonly. The results showed that elderly's travel time budget was affected by individual, household, urban facility and transportation service. The leisure travel comprised a large proportion of total travel time and had a positive relationship with elderly, sports, religious facilities. Moreover, the elderly who had low income or unemployed person had low frequency of social activity such as leisure, shopping and business. This study can provide a comprehensive implications of forecasting the future travel demand and analyzing the travel behavior.

• Journal of Cadastre & Land InformatiX
• /
• v.52 no.2
• /
• pp.121-135
• /
• 2022

The purpose of this study is to explore the convergence sector of the spatial information industry based on the business transaction data of spatial information companies and to predict the market size of the industry using the Seemingly Unrelated Regression(SUR) model. The convergence part of spatial information industry, which cannot be identified in the Spatial Data Industry Survey, was analyzed by exploring keywords related to spatial information using the business DB of Korea Enterprise Data (2010-2019). The convergence of spatial information businesses mainly appeared in the business relationship between the value chain between Seoul and Gyeonggi Province. The convergence business has the largest sales in the value chain 2 (utilization, service) & 3 (convergence), and also the convergence in the value chain 1 (production, construction) & 2, 2 & 3 stages has doubled in 2019 compared to 2010. In 2019, the total sales of the spatial information industry based on the Statistical Korea were announced at about 8 trillion won, but in this study, the total sales of the spatial information industry were estimated at 28 trillion won considering convergence activities. Finally, when scenario 1 (0.38% population growth, 2020-2024) and 0.07% (2026-2030) were applied using the SUR model to predict the expected market size of the industry, sales decreased by -0.37% to 0.069% in 2025 and 2030 by respectively. When scenario 2 (average wage growth 1.2%) was applied during the same period, sales in the industry increased by 2.326% to 12.185%. In other words, the sales in the spatial information industry depends on Labor, Total Factor Productivity, and Capital Productivity so it is necessary to additional research on policy development and alternatives of enhancing each productivity.

• Journal of Digital Convergence
• /
• v.19 no.3
• /
• pp.89-97
• /
• 2021

This study attempts to examine determinants of both digital capacity and digital utilization among older people by using the seemingly unrelated regression. Using '2019 Survey of Digital divide', the study has the following results: first, perceived usefulness, self-efficacy and confidence have significant relationship with digital capacity; second, not only self-efficacy and confidence but also digital support has significant relationship with digital utilization. By examining the common factors and differential factors which explain digital capacity and digital utilization, it contributes to broadening and deepening knowledge on digital divide and building effective strategies for overcoming digital divide among older people in Korea.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.5D
• /
• pp.713-721
• /
• 2008

The aim of this study is to analyze the spatial association of regional economic growth and land use considering 5 plus 2 regional economic sphere (Capital region zone, Chungchung zone, Honam zone, Daekyung zone, Dongnam zone and kangwon zone, Jejudo zone) in Korea. The factors of regional economic growth are GRDP and the rate of self-finance and land use, especially industrial and manufactering zone. The data for this research are obtained by National Statistical Office web-site etc. For this, the Seemingly Unrelated Regression(SUR), as a kind of simultaneous equation model, is employed as empirical analysis. Overall results of this study show that the spatial association of the capital region zone and other zones is complementary. but Honam zone and Dongnam zone or Daekyung zone is competitive. We conclude from this study that the policy of regional development will be considered in accordance with the regional economic growth and land use. Also, this study found that Economic growth of regional economic sphere will be achieved from that of cities within zone and the results will be helpful to policy makers and regional planners when establishing regional planning in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.6
• /
• pp.159-172
• /
• 2023

This study aims to empirically investigate the relative effects of business-to-business (vs. business-to-consumer) business model innovation (BMI) on innovation performance. The research examines the impact of three key components of BMI: 1. value creation, 2. value proposition, and 3. value capture, on innovation performance. The 2022 Entrepreneurship Survey data by the Korean Entrepreneurship Foundation was used to analyze 2,879 companies. An exploratory data analysis (EDA) including various categories such as industry, firm, CEO, and technology chracteristics was conducted to show the latest startup status in Korea. The results show that value creation of B2B (vs. B2C) firms has a more positive and significant impact on innovation performance. Whereas, value proposition of B2C (vs. B2B) firms was found to have a more positive and significant effect on innovation performance. Interestingly, value capture did not show any effects for either type of firms. Additionally, the study employed seemingly unrelated regression (SUR) analysis for robustness checks. These findings provide important insights about the relative effects of B2B-BMI (vs. B2C-BMI).

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.15 no.3
• /
• pp.23-33
• /
• 2016

This study identified the factors that affect travel time budget by mode for traveler in Seoul using the SUR model. Individual, household and TAZ characteristics were selected as the explanatory variables. Transportation modes are summarized from 18 types to 6 types(walking, personal car, bus, subway, rail and bicycle). The results showed a distinct difference between personal transportation and public transportation. First of all, People who owned a car and driver's licence tend to prefer personal transportation. In addition, we can confirm the relationship between the bus and the subway which are most typical public transportation. Passengers who can available a personal mode preferred the subway than the bus. It is expected to suggest various implications related to the public transportation policy for Seoul metropolitan area.