• Survey Research
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• v.12 no.2
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• pp.27-50
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• 2011

It is increasingly important to estimate daytime population for the sake of urban administration and urban economy. The estimation of daytime population using a census data on commute, however, has its own limits, particularly when applying to the metropolis such as Seoul which is dominated by the service industry. This study suggests a pedestrian flow as another estimate of daytime population and presents a methodology of Seoul Pedestrian Flow Survey. The data of pedestrian flow gives us a view into hourly and spatial distribution of daytime population, which cannot be provided by the use of census data. In addition, comparing with a census-based daytime population on the borough level show some features of a pedestrian flow as another estimate of daytime population.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.19-28
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• 2015

Purpose - Research shows that increased workload and psychological pressure produces tensions in organizations. Such tensions can increase employee aggressive workplace behavior. This study attempted to discover the relationship among verbal aggression, job involvement, and turnover intention. Research design, data, and methodology - A survey of administrative workers in colleges was done between May 20 and May 26, 2015. Result - The findings were as follows. First, verbal aggression directly increased employee turnover intention. Second, stress recognition also created turnover intention among employees, which was detected in the interviews conducted after the survey. Third, both the survey and the interviews showed that stress recognition did not have a significant effect on job involvement. Fourth, both the findings and the interviews after the survey showed that stress increased turnover intention. Last, the finding on the role of self-esteem showed that self-esteem had a positive moderating effect on the relationship between the influence of verbal aggression and stress recognition. Conclusion - Having strong talent at work should lower turnover intention and turnover rates and develop the organization continuously.

• Asia-Pacific Journal of Business
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• v.11 no.1
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• pp.1-16
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• 2020

Purpose - The purpose of this research is to investigate the determinants of bakery revisit intention. This research selects Paris Baguette as the research context because the market share of Paris Baguette was the highest in Korean bakery market. Design/methodology/approach -This research employed revisit intention as the dependent variable, while this research chooses six attributes to account for revisit intention. Six attributes are price fairness, taste, product variety, accessibility, display, and membership. This research uses survey as the main instrument. For the data collection, online survey using Google survey form was implemented. The survey participants are domestic consumers of Paris Baguette. The number of observation is 245. For the data analysis, this study used frequency analysis, correlation matrix, exploratory factor analysis, reliability analysis, and multiple regression model. There are four control variables, which contains age, gender, visiting frequency, and monthly income. Findings - The results shows that price fairness, taste, product diversity, and accessibility are significant attributes with the positive effect. Among the significant attributes, taste presented the highest magnitude to explain the revisit intention. However, membership and display appeared as non-significant attributes to account for bakery revisit intention. Research implications or Originality - This study provides the bakery managers with the information to design their service and product. This study also contributes to the literature by understanding the consumer behavior more in the domain of bakery service.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.53-64
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• 2024

Purpose: The purpose of this study is to develop a satisfaction evaluation survey tool that reflects the characteristics of the program for housing welfare supported in long-term public rental housing in Seoul. Research design, data and methodology: The main research methods of the study were review of previous studies, literature review, and expert consultation. Results: First, the characteristics of each housing welfare program being promoted by Seoul City were summarized, and the characteristics were reflected in the evaluation survey tool. Second, the SERVOUAL model, a service quality model, was used to measure satisfaction with the housing welfare program and modified to suit the characteristics of the program. Third, an evaluation survey tool was constructed by dividing the evaluation tool into common questions and individual questions, and for the operation and sustainability of the housing welfare program, rather than just evaluating satisfaction, program loyalty was used as a survey item. Fourth, through expert advice, more than 10 evaluation questions for each housing welfare program were revised. Conclusions: The results of future research are expected to be used to prepare practical operation plans through annual monitoring of housing welfare programs and comparative analysis between programs.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.259-289
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• 2023

This study analyzed farmers' and experts' perceptions of the Agricultural Income Survey (AIS) conducted by the Rural Development Administration and estimated its socioeconomic value. The research surveyed 104 farmers in Gyeongsangbuk-do and Jeollanam-do. To estimate the AIS's socioeconomic value, this study examined public information projects in the field of agriculture and public information, proposing an estimation methodology based on prior research. The socioeconomic value of the AIS was calculated in three stages (information generation, collection and analysis, and utilization) using the replacement cost and contingent valuation methods. In 2020, the estimated socioeconomic value of the AIS ranged from a minimum of KRW 631.2 billion to a maximum of KRW 799.1 billion per year. To improve the socioeconomic value of the AIS, it is important to booster awareness, expand sample sizes for more reliable data, increase manpower and budget, refine survey questions, and enhance analyzing capabilities. And it's crucial to foster cooperation with surveyed farms, promote collaboration among investigative agencies, improve investigator skills, and strengthen management capabilities to facilitate information dissemination.

• Journal of the Korean Data and Information Science Society
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• v.23 no.5
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• pp.983-992
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• 2012

Social indicator survey can identify the state of society as a whole. When we create a policy, social indicator survey can reflect the public opinion of the region. Social indicator survey is an important measure of social change. Social indicator survey has been conducted in many municipalities (Seoul, Incheon, Busan, Ulsan, Gyeongsangnamdo, etc.). But, the result of social indicator survey analysis is mainly the basic statistical analysis. In this study, we propose a new data mining methodology for effective analysis. We propose a 3-step complex data mining in society indicator survey. 3-step complex data mining uses three data mining method (intervening association rule, clustering, decision tree).

• Survey Research
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• v.11 no.2
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• pp.141-160
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• 2010

This study aims to analyze the usefulness of the survey procedures developed for telephone surveys using a random sampling method. We conducted a telephone survey of residents in a local area from October 26 to November18,2009. We applied random sampling procedures with five call-backs. Particular attention was given to the conversion of refusals. Out of 2,454 phone numbers, we succeeded in getting responses from 637 numbers. The absence of residents was the primary cause of non-response. We received responses from 45.7% of those with whom we successfully made contact. One finding of this study is that, contrary to our initial expectations, call-backs do not significantly increase the percentage of responses from young people. Also we cannot find any significant differences in responses to various questions between the responses received from the first round of calls and later responses. However, these results are not conclusive; another survey may produce different results. Therefore, further research is needed.

• Journal of Preventive Medicine and Public Health
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• v.46 no.2
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• pp.96-104
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• 2013

Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures. Methods: This study investigated the proportion of research papers that have used an appropriate statistical methodology out of the research papers analyzing the KNHANES cited in the PubMed online system from 2007 to 2012. We also compared differences in mean and regression estimates between the ordinary statistical data analyses without sampling weight and design-based data analyses using the KNHANES 2008 to 2010. Results: Of the 247 research articles cited in PubMed, only 19.8% of all articles used survey design analysis, compared with 80.2% of articles that used ordinary statistical analysis, treating KNHANES data as if it were collected using a simple random sampling method. Means and standard errors differed between the ordinary statistical data analyses and design-based analyses, and the standard errors in the design-based analyses tended to be larger than those in the ordinary statistical data analyses. Conclusions: Ignoring complex survey design can result in biased estimates and overstated significance levels. Sample weights, stratification, and clustering of the design must be incorporated into analyses to ensure the development of appropriate estimates and standard errors of these estimates.

• Korean Journal of Acupuncture
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• v.32 no.4
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• pp.177-189
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• 2015

Objectives : To develop and validate a survey form for adverse events(AEs) associated with acupuncture and moxibustion treatment. Methods : The 1st version of a survey form consisting of 9 categories was developed and modified based on the analysis of questionnaires from previous studies on AEs. To evaluate content validity of the 1st version, a Delphi survey where experts in acupuncture and moxibustion, and research methodology were invited, was conducted alongside a separate content validity questionnaire. The content validity indices for each item and total scale were calculated as the proportion of the number of experts judging each item or scale valid to the number of total experts. Results : After the Delphi round 1, the content validity of 2 items and total scale was rated as inadequate. The 1st version was modified accordingly, and the 2nd version of the survey form was developed. The content validity of the 2nd version was assessed in the Delphi round 2 and the final version was completed after incorporating the expert comments. The final version consists of 13 questions regarding practitioner/patient information, condition/disease, intervention, treated body parts, safety issue and AE occurrence related with practitioner's behavior or instruments, AEs associated with treatment and emergency actions taken if necessary, time to AE occurrence, outcomes, serious AEs or death, and time to AE disappearance. Conclusions : This newly developed and validated survey form will serve to collect AEs associated with acupuncture and moxibustion treatments in Korea and contribute to establishing the evidence on safety of Korean acupuncture treatment.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.399-411
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• 2008

Today, the statistical survey has been carried out variously for the decision-making and administration of the organization. We use the different items in the statistical survey according to the purpose of study. Currently, Gyeongnam province is executing the social index survey to the provincials every year. But, this survey has the limit of the analysis as execution of the different survey per 3 year cycles. The solution for this problem is data fusion technique. Data fusion is generally defined as the use of techniques that collect to combine data including multiple sources in order to raise the quality of information. But, data fusion doesn't mean the ultimate result. Therefor, efficient analysis for the fused data is also important. In this study, we suggest the application methodology of neural network by latent variable through the fused data in statistical survey.