• Journal of Digital Convergence
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• v.15 no.6
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• pp.9-17
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• 2017

The opening of public data has been perceived as a critical factor in deciding a country's rise or fall. Since the global economic crisis, countries around the globe have expanded the supply of public data as a new growth engine to create significant economic effects. As a result, there has been a rising demand for a study on the influence of public data in the private sectors. This study attempted to achieve the following objectives. First, the effects of independent variables-system quality, information quality, information security, social influence, innovation and assistance by the public organization- on the intention to use the public data was examined. Second, the effects of the mediating variables - Perceived Ease of Use (PEU) and Perceived Usefulness (PU) - on the independent variables and intention to use (dependent variable) were investigated. Third, after selecting utilization type, frequency of public data usage and frequency of occupational & e-government service usage as moderating variables, their effects on the relationship between the independent variables and dependent variable (intention to use them in the private sector) were studied. It is expected that the study results would be useful in developing strategies aimed to utilize public data in the private sectors.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.125-138
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• 2020

Currently, subway crowding is estimated by observing a specific point at specific hours once or twice every 1 or 2 years. Given the extensive subway network in Seoul Metropolitan Area covering 588 stations, 11 lines and 80 transfer stations as of 2017, implementing crowding mitigation policy may have its limitations due to data uncertainty. A proposal has recently been made to effectively use smart card data, which generates big data on the overall subway traffic related to an estimated 8 million passengers per day. To mitigate subway crowding, this study proposes two viable options based on data related to smart card used in Seoul Metropolitan Area. One is to create a subway passenger pattern model to accurately estimate subway crowding, while the other is to prove effectiveness of early bird policy to distribute subway demand that is concentrated at certain stations and certain time. A subway passenger pattern model was created to estimate the passenger routes based on subway terminal ID at the entrance and exit and data by hours. To that end, we propose assigning passengers at the routes similar to the shortest routes based on an assumption that passengers choose the fastest routes. In the model, passenger flow is simulated every minute, and subway crowding level by station and line at every hour is analyzed while station usage pattern is identified by depending on passenger paths. For early bird policy, highly crowded stations will be categorized based on congestion level extracted from subway passenger pattern model and viability of a policy which transfers certain traveling demands to early commuting hours in those stations will be reviewed. In particular, review will be conducted on the impact of policy implemented at certain stations on other stations and lines from subway network as a whole. Lastly, we proposed that smart card based subway passenger pattern model established through this study used in decision making process to ensure effective implementation of public transport policy.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.313-320
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• 2017

Price fluctuation contract is imperative and of paramount essence in the construction industry as it provides adequate relief and cushioning for changes in the prices of input resources during construction. As a result, several methods have been devised to better help in arriving at fair recompense in the event of price chang es. However, stakeholders often appear not to be satisfied with the existing methods of fluctuation evaluation, ostensibly because of the challenges associated with them. The aim of this study was to identify the challenges to usage of building construction cost indices in Ghana. Data was gathered from contractors and quantity surveying firms. The study utilized survey questionnaire approach to elicit responses from the contractors and the consultants. Data gathered was analyzed scientifically, using the Relative Importance Index (RII) to rank the problems associated with the existing methods. The findings revealed the following among others; late release of data; inadequate recovery of costs; and work items of interest not included in the published indices as the main challenges of the existing methods. This study will provide useful lessons for policy makers and practitioners in decision making towards the usage and improvement of available indices.

• Journal of Korean Society of Archives and Records Management
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• v.9 no.1
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• pp.175-196
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• 2009

The government and public institutions are conducting public-opinion surveys as means of drawing the scientific policy decisions throughout the country's whole sectors ; society, culture, welfare, education, etc. The Government Survey Data have been under management by each governmental department, but the improper ways of data collection and management have led to omissions and losses of some data. Also there are limitations on the statistic usage and access to the data due to the fact that the data are managed dispersedly in the form of printed materials. Accordingly, to make the survey data available for the long-term preservation and usage, this study suggests collection policy, standard of evaluation, metadata, the procedure and method of converting materials, preservation format.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.7 no.1
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• pp.65-71
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• 2011

Recently, central and local governments of Korea have established and implemented various energy policies such as making energy map of city level and establishment of environment friendly city plan to materialize low carbon green city. To implement effectively these policies, however, conditions of energy consumption by each administrative district and each usage have to be verified exactly. This study is aimed to suggest a basic data for planing energy policy and energy demand prediction of city level by analyzing energy consumption unit and conditions of city gas by borough and usage in Busan.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.17-32
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• 2020

This study analyzes the regulatory issues of stakeholders, the firm, the government, and the individual, in the data industry using the principal-agent theory. While the importance of data driven economy is increasing rapidly, policy regulations and restrictions to use data impede the growth of data industry. We applied descriptive case analysis methodology using principal-agent theory. From our analysis, we found several meaningful results. First, key policy actors in data industry are data firms and the government among stakeholders. Second, two major concerns are that firms frequently invade personal privacy and the global companies obtain monopolistic power in data industry. This paper finally suggests policy and strategy in response to regulatory issues. The government should activate the domestic agent system for the supervision of global companies and increase data protection. Companies need to address discriminatory regulatory environments and expand legal data usage standards. Finally, individuals must embody an active behavior of consent.

• Asian Journal of Innovation and Policy
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• v.9 no.1
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• pp.12-35
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• 2020

Quality performance information has been regarded as a significant step toward managing public performance. Although a correlation between the quality of information and its actual usage among managers in high-accountability policy areas has been found, quality performance information has not been properly provided to practitioners. This study takes an Institutional Analysis and Development approach to assess an appropriate institutional framework that facilitates state agencies and academics to coproduce this information. Based on a conceptual framework, we analyze a public information system of the Workforce Data Quality Initiative in Ohio and carry out a content analysis with NVIVO. It is found that arrangements that can manage the incentive dynamic in this process may help to align heterogeneous stakeholders in a mutually supportive fashion. Also, the research agenda and information resulted from being coproduced for management and academic purposes, simultaneously. This use of administrative data sheds light on how quality performance information can be coproduced under an appropriate institutional arrangement between administration and research communities. It is suggested that accessibility to the information system among various stakeholders should be improved.

• Journal of Society of Preventive Korean Medicine
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• v.22 no.1
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• pp.1-14
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• 2018

Objectives : This study aimed to analyze the characteristics of uninsured herbal medicine(UHM) users and the economic and social barriers of UHM utilization. Methods : We used the Korea Health Panel Data, representative national survey on medical utilization and cost, provided by National Health Insurance Service and Korea Institiute of Health and Social Affairs. The frequency analysis was used to identify the characteristics of the respondents, and the cross-analysis (${\chi}^2-test$) was used to verify the relationship between their characteristics and the usage of UHM. In order to analyze the determinants of using the UHM considering the individual's characteristics, logistic regression analysis and multiple regression analysis were conducted for those who used the Korean medicine (KM) outpatient service in 2015. Results : The usage of UHM was significantly lower for those (1) who's age of 20 to 65; (2) who have the university or higher education degree; (3) who live in Jeju province, and (4) who bought the herbal medicine for other health related purposes. On the other hand, the usage of UHM for those (1) who have the first quintile of household income; (2) who have the chronic respiratory disease; (3) who have been taking the medicine for health promotion purpose for more than 3 months and (4) who have purchased the food which has health promotion function was significantly higher than others. The patients who have chronic musculoskeletal diseases accounted the most among the UHM users. Conclusions : There was the considerable inequality in the usage of UHM among household income groups, which provides policy rationale for UHM to be covered by national health insurance. To facilitate the coverage expansion, restrictive covering model can be considered for children and adolescents, or for patients with muskuloskeletal diseases who have the high demand for UHM.

• Journal of Korea Planning Association
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• v.53 no.6
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• pp.39-59
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• 2018

This study examines the relationship between the usage of public bike and physical environment factors around the public bike stations using the public bike rental history data from 2016 to 2017 in Seoul, Korea. Focusing on the different influences of determinant factors by distance to public bike station, this study identifies influential factors that affect the usage of public bike. The results of the analysis are as follows. First, both the land use and physical environmental variables of bike station areas show strong associations with the usage of public bike. Second, the usage of public bike is also associated with neighborhood living facilities, business facilities, land use mix, the distance to subway station, public facilities and universities. This finding indicates that public bike has played a role as a transportation mode for the short-distance travel and commuting purposes in everyday life. Third, this study shows that the usage of public bike is strongly associated with the average slope, traffic volume around public bike stations, distance to streams or rivers, and the types of bike lane. This finding also indicates that surrounding environmental factors play an important role in the usage of public bike. Finally, this study identifies the different influences of determinant factors on the usage of public bike by distance to public bike station. This study suggests policy implications for the potential locations of public bike stations in the future.

• Journal of Family Resource Management and Policy Review
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• v.28 no.1
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• pp.27-38
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• 2024

Given the concern about the reduction in birth rate in Korea today, the objective of this study was to examine the association between Work·Family Compatibility policy and parenting stress, focusing on sex and occupational groups. Data from the 13th year Panel Study on Korean Children were analyzed by descriptive statistics, a one-way analysis of variance, and Duncan's post hoc test. The results of this study were as follows: First, the most commonly used aspect of the Work·Family Compatibility policy among both males and females was flextime, irrespective of occupational types. Also, flextime was the most used policy among professional workers. Second, regarding the use of related systems and parenting stress, it was found that all respondents perceived above average parenting stress. Specifically, the parenting stress scores of male users of flextime were higher than those of family care leave users. The parenting stress of military personnel were the lowest among males' occupational groups. Among females, the parenting stress scores of maternity leave users were higher than those of shorter workweek user. Diverse discussions and implications were suggested about promoting the usage of Work·Family Compatibility policy.