• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.55-77
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• 2015

The purpose of this research is to analyze the influence of the regional location factors to the lifecycle of manufacturing firms in the Seoul Metropolitan Area. A firm has a lifecycle in common like a household. The firm's lifecycle is divided into 4 sections such as formation, dissolution, growth and decline for the manufacturing firms as light industry, heavy industry and high-tech industry. In addition, the regional location factors are divided into 4 categories. As a result of this research, there are differences for the statistically significant location factors. In addition, the value for the explanation ability of each multiple linear regression model (adj. $R^2$) was high in the formation and growth sections than in dissolution and decline sections. It means that the local governments need differentiated policies considering their regional characteristics for the location factors by firm's lifecycle when they established policies for industry or job. From the view point of the public sectors, it is much important to focus on formation and growth of firms.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.127-145
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• 2015

Plant location selection is a decision which requires huge investment and entails a significant impact in a longer-term. The petrochemical industry, in particular, is so capital- and technology-intensive that the firms in the industry pursue enhancing competitiveness through collaboration and integration among entities in their supply chains. Even though the logistics factor such as logistics costs and connectivity have, as a result, gained its importance in plant location decision making, this has rarely studies in empirical studies. Therefore, this study aims to examine the relative importance of the logistics factor in plant location decision making in the petrochemical industry using the multi-criteria decision-making approach. In addition the three representative petrochemical industrial complexes are evaluated by the factors used in this study. This study is able to provide the useful implication in both practical and policy-making aspects. Firms are required to consider the logistics factors with priority compared to other factors in plant location decision making. In addition, when federal or local governments build industrial sites and attract the petrochemical firm, logistics infrastructure should also be considered to provide better transportation connectivity and lower logistics costs in turn.

• Asia-Pacific Journal of Business
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• v.9 no.3
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• pp.11-24
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• 2018

We develop the success factors model including research hypotheses in the restaurant service industry. The research model in this study was tested on survey data collected from 282 restaurant owners. In this study, we tried to identify the success factors of the restaurant service industry and analyze the relationship between those success factors and business performance. Especially, we analyzed the impact of success factors on business performance being moderated by the restaurant type and location. Through the analysis of the research model, it is shown that operation management and customer relationship management and so on play an important role in the improvement of business performance. In addition, we found that the impact of the success factors on business performance is moderated by the restaurant type and location. A limitation of our study is the sampling. Franchise restaurants will need to be included in future studies. We expect that our research will help start-up restaurant managers to get useful insights to better manage their own businesses. Although the study on the success factors of the restaurant service industry is very important, there are few researches on that in Korea. Therefore, this study can give new insights on how the restaurant owners do business in the restaurant service industry.

• Journal of Navigation and Port Research
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• v.43 no.2
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• pp.122-133
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• 2019

The maritime industry has emerged as a new growth engine. The municipalities that own the port are trying to add value through the maritime industry. Overseas port cities are also creating maritime industrial clusters to generate profits and strengthen competitiveness. Therefore, it is very important to understand the comparative status of the domestic maritime industry by region. Based on this analysis, it is possible to establish maritime industrial clusters and strategies for integration. This study analyzed the structure of the maritime industry located in Jeollanamdo province, the southwestern part of Korea. Through the analysis of existing literature, the maritime industry was reclassified into 5 major categories, 21 subcategories, and 84 subcategories. Based on the reclassified maritime industry, the analysis of the Jeollanamdo province maritime industry was based on applying the location quotient and the shift-share analysis. As a result of analyzing the geographical location of Jeollanamdo province, other industries showed the highest value of 2.790, followed by fisheries (2.227), shipbuilding industry (1.164) and marine tourism industry (0.554). The growth effect of the maritime industry in Jeollanamdo province was 35,323 people, and net growth effect excluding national growth effect was 11,945 people. In particular, the net growth effect of the shipbuilding industry was the highest at 11,320, followed by shipping logistics (6,371) and marine tourism (1,529). On the other hand, there was no net growth effect in fisheries. The results of this study can be used as basic data for the construction of the maritime industrial cluster for Jellanamdo province in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.7
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• pp.786-792
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• 2019

Currently, various kinds of contents using smart phone's location information are developed and provided to users. The market size of the location-based service industry utilizing location information is also increasing every year and the majority of smart phone users occupy university students and most of the university students are using their owns smart phones, and they are the biggest users of location-based services and the main target of location information collection. In this paper, we conduct to a survey how university students understand about location information. Based on the results of the survey, we will deeply examine which one is needed to improve understanding of university students' location information collection and usage and what should be considered for the development of the location-based service industry and education of location information and then we propose some helpful suggestion.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.4
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• pp.472-487
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• 2019

The paper industry has experienced locational shifts in the continuous innovations in raw materials and process technology. Due to the different conditions of production according to various nations and regions, the structure and location of the paper industry has evolved. Therefore, case studies of individual nations and regions are significant in understanding the various developments in the paper industry. The present study focuses on the locational shift in the development process of the paper industry in Korea, and explains the conditions in the factors of production, market and government policies. Firstly, the study examines the changes in the structure of the Korean pulp and paper industry from the early twentieth century until today, the conditions for factors of production, the change in the raw materials, the Korean paper industry staring as a pulp manufacturing process-focused then into a paper manufacturing process-focused. Secondly, the study determines how the current paper industry considers raw materials and market in the location selection process. Finally, the study explains how the locational shifts in the paper industry progressed with the implementation of location regulations in the metropolitan area since the late 1970s.

• Journal of Distribution Science
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• v.6 no.1
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• pp.47-62
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• 2008

Joining the WTO in 2001, China became a number of the global economic system. China succeeded in vying to host Beijing 2008 Olympic Games and World Expo 2010 Shanghai. It is China's honor and opportunity to have high economic growth in the coming future. In 2007, the total cost of public logistics decreased by 18.2% than 2006 to 4540.6 billion RMB, accounting for 18.4% of the GDP. So, China logistics is a huge industry and a growing market full of charm. The statistic ratios of China's logistics and growth trends show us it is an important issue to build and run an effective logistics system. However, research on China's logistics systems and supply chain is lacked. This study is focus on the logistic location strategy in China including the study of factories and warehouses geographic strategy concerned with SCM. The core of this study is to propose a New Multi-Facilities Location Decision Model. This study banded the revised gravity center, the standard single facility location decision model(Gravity Center Model) and the transportation model into a new Multi-Facilities Location Decision Model. In addition, this study suggested the gravity center of population, the gravity center of each industry, the location decision graded-list of each industry of china using the gravity center model and the revised gravity center model. The new Multi-Facilities Location Decision Model proposed in this study can be used to solve the location decision problem of more than two facilities. And it can be used in the fields such as the location decision of production facility and service facility, the location of distribution and logistics, the location of broadcast and satellite communications, the location of wireless communication tower and so on.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.37-51
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• 2008

This study aims to build a model dealing with the location decision of new manufacturing firms and their land demand. The model is composed with 1) the binary logit model structure identifying a future probability of manufacturing firms to locate in a city and their land demand; and 2) the land use suitability of the land demand. The model was empirically tested in the case of Anseong City. We used establishment-level data for the manufacturing industry from the Report on Mining and Manufacturing Survey. 48 industry groups were scrutinized to find the location probability in the city and their land demand via logit model with the dependent variables: number of employment, land capital, building capital, total products, and value-added for a new industry since 2001. It is forecasted that the future land areas (to 2025) for the manufacturing industries in the city are $5.94km^2$ and additional land demand for clustering the existing industries scattered over the city is $2.lkm^2$. Five industrial complex locations were identified through the land use suitability analysis.

• Journal of the Korean Regional Science Association
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• v.11 no.1
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• pp.31-60
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• 1995

The distribution of economic activity over a mutually exclusive and exhaustive categorical industry-region matrix is modeled as a composition of two random components: the probability-like share distribution of jobs and the dynamic evolution of absolute aggregates. The former describes the individual activity location choice by comparing the predicted profitability of the current industry-region pair against that of all other alternatives based on the available information on industry-specific, region specific, or activity specific attributes. The latter describes the time evolution of macro-level aggregates using a dynamic reduced from model. With the seperation of micro choice behavior and macro dynamic aggregate constraint, the usual independence and identicality assumptions become consistent with the activity share distribution, hence multi-regional industrial migration can be represented by a set of probability evolution equations in a conservative Markovian from. We call this a Micro-Macro Composition Approach since the product of the aggregate prediction and the predicted activity share distribution gives the predicted activity distribution gives the predicted activity distribution which explicitly considers the underlying individual choice behavior. The model can be applied to interesting practical problems such as the plant location choice of multinational enterprise, the government industrial ploicy to attract international firms, and the optimal tax-transfer mix to influence activity location choice. We consider the latter as an example.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.2B
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• pp.164-173
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• 2006

It is essential to ensure public use of and privacy of location information for promoting the location based services. The grade designation for location information is required to accomplish them. The grade designation for location information can increase the reliability of location information and reinforce the right of choice for user. Therefore the institution of grade designation for location information should be introduced rapidly to keep up with the growth of the location based services industry.