• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.5
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• pp.78-90
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• 2013

The purpose of this study was to analyze the types and characteristics of public complaints caused by the landscape architecture projects in the case of apartment complex. Furthermore, its purpose was also to propose as the basis data for the minimization of complaints in the course of future landscape architecture projects. To analyze and categorize the apartment complex civil complaints, we collected basic and case study data from LH Corporation, SH Corporation and GICO from 2009 to 2012. We also categorized 672 landscape complaints to 73 categories and conducted a survey from residents and landscape architecture. This Survey is to use IPA can collect character(public-private), handling of civil affair(easy-hard) and analyze typical characters and difference of civil complaint awareness between landscape architecture and residents. First, we were categorized 73 civil complaints by type in 5 categories such as park, green space and street trees, pedestrian road, facilities, and others. Second, the most common landscape complaints appear in green spaces, street trees, facilities, pedestrian roads and park orders. Third, results of the analysis conducted for each item which are publicity and measures the ease. 'Facilities', 'landscape and greenery', 'pedestrian road' and others were commonly appears from residents and professional awareness of the complaints. However, complaints of park appear different awareness between landscape architecture and residents. Fourth, 35 from 73 civil complaints(47.9%) are having high publicity and easy to measure, 25 civil complaints(34.2%) has analyzed to individual and difficult to measure so about the these complaints need to check from the design step so that it is necessary to minimize the problem of additional expense by civil complaints burden and decrease the confidence of residence problem were considered.

• 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.

• Journal of the Ergonomics Society of Korea
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• v.16 no.3
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• pp.49-60
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• 1997

Although the tasks are being mechanized or automated today, many tasks are still performed manually in several industrial settings. Manual materials handling and improper sorking postures are known to be a major cause of low back injuries, which are one of the major problems in the economic and public health aspects. In this study, two machine repair shops of a manufacturing company in Pohang were recommended by the company health care center to investigate the potential risk factors that may cause low back injuries. Five machine repair tasks were selected from each machine repair shop, which are accountable for relatively high complaints of low back pain. The purpose of this study is to quantitatively evaluate the hazards of the tasks, and finally to recommend the improved methods and guidelines for safe work practices. In order to accomplish this goal, the questionnaire study and ergonomic evaluations were carried out and the results were analyzed. For most of the tasks under study, workers were found to be exposed to relatively high biomechanical stresses in low back, mainly due to the heaby objects handled and the improper working postures.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.13-24
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• 2015

Customer complaints handling helps organizations to retain existing customers and attract new customers, as well. As Voice of the Customer (VOC) is one of the main sources of customer complaints, many organizations utilize VOC to enhance customer satisfaction. Effective management of VOC has been proved as one of the best ways to maintain organization's brand image and reputation. In spite of its importance, little has been reported on the utilization of VOC to detect faults in a telecommunication industry. In this paper, association rule mining based on VOC is used to identify root fault causes of a telecommunications network. To do that, VOC of a Communication Service Provider has been collected first. Then, association rule mining has also been conducted with various support and confidence levels. As a result, root fault causes of the telecommunications network can be identified. It is expected that this study can be used as a basis for decisions about customer satisfaction management such as preventive maintenances or reduction of the customer maintenance cost.

• Convergence Security Journal
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• v.12 no.2
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• pp.43-51
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• 2012

CCTV would be the effective way in the prevention of abuse, as well as recorded image information evidence of the crime as a significant legal effect. But recorded image information As evidence by utilizing the Complaint/complaint handling, and administrative business processes that are currently operating offline procedural complexity and unnecessary time appear costly, privacy remains an issue to be solved, etc. Runoff. In this paper, incidence rate of offline business processing phase to solve the problems proposed to build unified portal for CCTV image information and the existing studies on the effectiveness of electronic civil service system, previous studies by analyzing e-government in accordance with laws and privacy laws, CCTV image information portal deployment model is applied to data integration occurs are trying to solve the problem effectively.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.41-46
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• 2018

This study is based on the opinions of the Ministry of Employment and Labor and the Policy Bulletin of the National Intelligence Service (http://www.people.go.kr) The data were visualized, frequency analysis and correlation analysis using the R program Big Data method, and the analysis was conducted by analyzing the public opinion on civil affairs and policies such as industrial relations, industrial safety, wage policy, The results of this study are as follows: First, disagreement of wage concept and labor - management conflict were found as complaints factor due to complex wage structure in Korea and lack of awareness among labor and management Second, And there are various complaints caused by the economic panic of the workers etc. Third, in the absence of safety awareness of small business sites An industrial disaster is constantly occurring, and institutional support for work-family connection is lacking.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1193-1198
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• 2007

The total number of passengers for Line $1{\sim}4$ operated by Seoul Metro among subways that act as foot of Seoul residents was 1.43116 billion passengers in 2006 and average of 3.921 million passengers per day. The results of analysis on safety accidents that occurred recently in subways show that various complaints on subways were reduced through the expansion of safety related facilities and training but accidents caused by negligent handling by employees including engineers are increasing on the contrary. At present time where various man-made accidents break out such as wrong handling and habits of engineers in charge of driving trains and momentary mistakes, there needs effort for active management and improvement to prevent and minimize accidents. Therefore, this study has drawn out problems through surveys on aptitude test system to engineers and compared with case studies in overseas. Thus, it attempted to minimize safety accidents in subways, and derived methods for improving safety management by focusing on improving the current aptitude test system for nurturing engineers suitable to handle railway driving in the future.

• Informatization Policy
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• v.27 no.2
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• pp.66-83
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• 2020

Local issues that occur in cities typically garner great attention from the public. While local governments strive to resolve these issues, it is often difficult to effectively eliminate them all, which leads to complaints. In tackling these issues, it is imperative for local governments to use big data to identify the nature of complaints, and proactively provide solutions. This study applies the LDA topic modeling technique to research and analyze trends and patterns in complaints filed online. To this end, 9,625 cases of online complaints submitted to the city of Busan from 2015 to 2017 were analyzed, and 20 topics were identified. From these topics, key topics were singled out, and through analysis of quarterly weighting trends, four "hot" topics(Bus stops, Taxi drivers, Praises, and Administrative handling) and four "cold" topics(CCTV installation, Bus routes, Park facilities including parking, and Festivities issues) were highlighted. The study conducted big data analysis for the identification of trends and patterns in civil affairs and makes an academic impact by encouraging follow-up research. Moreover, the text mining technique used for complaint analysis can be used for other projects requiring big data processing.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.106-110
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• 1995

A local manufacturing companyin which low back pain(LBP) complaints were frequently reported was selected, and regularly perfomed lifting tasks were investigated using questionnaires and the 1991 NIOSH lifting guide. Among several processes of manufacture in the company, three processes-forming, heating and packing-were studied, where most of tasks were perfomed through manual materials handling (MMH). Questionnaire surveys showed that anthropometric data such as stature, weight and someatotype did not affect and weight of load influenced significantly the incidence of LBP, and workers who expwrienced LBP was older than the inexperienced. In addition, safety education conducted at the company was found to be ineffective in preventing LBP injuries. Lifting indexes(LI) was ranged from 0.86 to 17.0 with an average of 4.49, which revealed that tasks performing in the selected factory were in danger of LBP, and should be ertonomically redesigned. The critical factor reducing LI was found to be the horizontal component in all three processes, and most of weight of load was heavier than load constant(23kg) of the 1991 NIOSH lifting equation in heating process and packing.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.3
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• pp.1-24
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• 2010

As the Internet is explosively growing and the market is rapidly globalized, many entrepreneurs have been given an impetus to take on the function of the intermediation between providers and customers. Organizations performing the mediating roles in the cyberspace are termed 'cybermediary' and often called 'Openmarket' as a kind of transactional cybermediary in Korea. Despite sustainable growth of Openmarket, customer complaints and damages are increasing because of absence of recovery standards after a service failure. Therefore, it is important that a service provider converts dissatisfied customers to advocates for the growth of the Openmarket. This study aims to examine the role of recovery of the service failures for the Openmarket by proposing a relationship between complaint handling and continuance based on the equity theory. From the empirical results, we found that interactional equity had significant effects on both overall service satisfaction and recovery satisfaction, while procedural equity significantly influenced only recovery satisfaction. Recovery satisfaction also had an impact on overall service satisfaction and each satisfaction factor was positively related to continuance intention.