• Proceedings of the KOSOMBE Conference
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• v.1990 no.11
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• pp.68-70
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• 1990

• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.103-119
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• 1993

This research examines the spatial development of rural industrial estates (Nong-gong Jigu) in Chonbuk province and gives insight into the strategies for economic development in the entire region. Selected location factors which are likely to pull new investment into the estates are examined by using questionnaires. Few loction factors except nonlocal factors can be found in explaining why location choices are made. The irrelevance of the analysis based on location factors suggests that an alternative approach should analyze changes in the spatial development of the rural industrial estates. Such an alternative is to understand the dynamics of the spatial organization of production by focusing on characteistics of plant closing in the rural industrial estates. To take into account of the characteristics of plant closing we provide the hypothesized relationships between employment size, organizational structure, inter and intra industrial linkage, characteristics of production processes, and availability of local labor market and the likelihood of closing. A logit model is then made to identify the selected factors which might influence the probability of plant closing. The results from the logit analysis and their implications suggest that the policy should be more concerned with the characteristics of firms, such as size and ownership, as well as of the local labor markets. Given that the Chonbuk region has experienced rapid population decline, together with its poor industrial base, it seems that the success of the policy in the declined rural areas in less certain.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.103-110
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• 2006

This paper aims to examine the main factors of the organizational climate and analyze their effects on job involvement. To accomplish these purposes, the nam factors of the organizational climate such as diversity, autonomy, redundancy, connectivity and flexibility were found from the previous studies. The questionaries of 350 were distributed to the employees working at the Gumi Industrial Complex. The questionaries of 298 were obtained and 267 were analyzed through frequencies, correlation and multiple regression. The results of this study are as followings; First, we conducted exploratory factor analysis for five constructs(diversity, autonomy, redundancy, connectivity and flexibility) using oblique rotation method that did not assume independence among the factors and main factors of knowledge management were grouped together by five factors. Second, it is shown that four main factors of organizational climate have a positive influence on the job involvement(p<0.05). This study, however, have limitations of number of sample and survey area. The future study should consider these limitations in improving model applicability in practice.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.64-70
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• 2013

Estimation approaches for casual relation model with high-order factors have strict restrictions or limits. In the case of ML (Maximum Likelihood), a strong assumption which data must show a normal distribution is required and factors of exponentiation is impossible due to the uncertainty of factors. To overcome this limitation many PLS (Partial Least Squares) approaches are introduced to estimate the structural equation model including high-order factors. However, it is possible to yield biased estimates if there are some differences in the number of measurement variables connected to each latent variable. In addition, any approach does not exist to deal with general cases not having any measurement variable of high-order factors. This study compare several approaches including the repeated measures approach which are used to estimate the casual relation model including high-order factors by using PLS (Partial Least Squares), and suggest the best estimation approach. In other words, the study proposes the best approach through the research on the existing studies related to the casual relation model including high-order factors by using PLS and approach comparison using a virtual model.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.595-608
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• 2020

In order to derive site selection planning factors in reforming aging industrial complex into urban high-tech industrial complex, this study selected key planning factors based on the problems of creating the urban high-tech industrial complex, innovation system theory, and external effect theory. And combined with Delphi research, the final planning factors were selected. As a result of the study, total 19 final factors were derived from 4 areas which includes efficiency planning factor utilizing the advantages of old industrial complex regeneration to maximize the efficiency of the project, corporate demand factor via increasing pre-sale rate and strengthening competitiveness, human resource planning factor by maintaining work force of the tenant to utilize and promote accumulated knowledge, and cooperative relationship building factor by enhancing connectivity with neighboring areas. These planning factors will help revitalizing the local economy through the resolution of regional conflicts caused by low distribution rates and development imbalances, which have emerged as problems in the creation of urban high-tech industrial complexes.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.111-114
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• 1995

As modern industrial technologies progress, critical incidents (both conventional and new) occur as well. Although majority of these safety incidents are human-related, or human factors problems, industrial systems and/or occupational safety operations are often designed without seriously considering important roles of human factors in industrial safety. The purpose of this paper is to show how a human factors approach can contribute to industrial safety. The paper introduces a systems safety concept with some useful analysis techniques for proactively preventing human-related safety problems. A behavior-based safety analysis approach to modify hyman behavior is suggested to reduce unsafe behavior and promote safe behavior. Finally, a sound human factors/ergonomics program is recommended for management to establish a hazard-free work environment. Some current and future research issues are discussed.

• Industrial Engineering and Management Systems
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• v.15 no.1
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• pp.99-109
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• 2016

During the last two decades, impact factor has been widely used as a journal evaluation metric that differentiates the influence of a specific journal compared with other journals. However, impact factor does not provide a reliable metric between journals in different subject categories. For example, higher impact factors are given to biology and general sciences than those assigned to other traditional engineering and social sciences. This study initially analyzes the trend of the time series of the impact factors of the journals listed in Journal Citation Reports during the last decade. This study then proposes new journal evaluation metrics that adjust the impact factors across different subject categories. The proposed metrics possibly provides a consistent measure to mitigate the differences in impact factors among subject categories. On the basis of experimental results, we recommend the most reliable and appropriate metric to evaluate journals that are less dependent on the characteristics of subject categories.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.62-71
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• 2017

In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.381-394
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• 2013

Purpose: Nowadays, Mobile Cloud Storage services are used widely. For sustainable use of this service, we need to determine what factors affect satisfaction. Therefore, the purpose of this study is to identify the factors that influence satisfaction. Methods: To analyze factors that influence satisfaction, this study sets the factors into three dimensions such as service quality, perceived risk, and individual characteristics and analyze the causal relationship between influence factors and satisfaction through Structural Equation Model. Results: The results of this study are as follows; among service quality, user interface and reliability influenced satisfaction, but adaptability did not have any influence. Perceived risk of illegal access had a negative influence on satisfaction, while perceived risk of privacy leakage did not have significant influence on satisfaction in perceived risk. At last, self-efficacy had a significant influence on satisfaction. Conclusion: We identified the influence factors that influence satisfaction. Our findings will be necessary for Mobile Cloud Storage service providers to strengthen their service.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.55
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• pp.33-42
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• 2000

It is difficult to estimate the effective factors upon Cumulative Trauma Disorders in real workplace because those are developed by combination of various risk factors for time. The purpose of this paper was to evaluate relative level of CTDs risk factors such as task-related factors, anthropometric factors, joint deviation factors and personal factors using fuzzy linear regression models. And the models are built corresponding to each category with the survey data from telephone operators. The coefficient of fuzzy models are described as the relative level of variable to present risk factors upon CTDs.