• Journal of the Korean association of regional geographers
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• v.17 no.1
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• pp.58-74
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• 2011

This study analyzed and compared the importance and priority of location decision factors in Foreign Direct Investment Firms managing the manufacturing business in the nation's southeastern economic zone, and in expert group by using AHP analytical technique based on examining the location theory and the prior research of real estate for industry. Also, it analyzed difference in importance and priority for location factors by corporate scale, by business category, and by location type targeting only foreign direct investment firms, and offered references necessary for location decision-making. In addition, to elicit useful information for policy related to location decision factors for foreign direct investment firms, the implications were elicited by analyzing the results recognized between foreign direct investment firms and expert group on information elements regarding investment satisfaction, business bottlenecks, and location decision process. The considerable gap was indicated in importance and priority of location decision factors considered between the nation's foreign direct investment firms and real-estate expert group for industry. As a result of analyzing by reflecting the corporate characteristic variable in location assessment model unlike before, the importance of the competitive advantage factor and the business strategic factor was indicated to be very high.

• Smart Media Journal
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• v.11 no.7
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• pp.28-38
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• 2022

The term 'fourth industrial revolution' was mentioned at the World Economic Forum (WEF) in 2016 and has become a term representing a new industrial era based on information and communication technology (ICT). In the environment of the 4th industrial revolution, ESG management activities are becoming a very important factor in business activities. With the emergence of a new paradigm of organizational operation in the post Covid19 era, the demands for ESG (Environment, Social, Governance) investment related to the environment, social responsibility are increasing. This study examines the role that can support ESG management by utilizing the expertise of appraisers. Real estate is one of the fields of high public interest, and since most ESGs have been conducted centered on the role of private companies, the role of the expert group or the role of public corporations and public institutions is relatively insufficient. If a company or general company engaged in the real estate investment business establishes the role of the Korea Appraisers Association to revitalize ESG management using appraisers, such as ESG appraisers, when investing in real estate, it is believed that it will be possible to promote efficient and sound development of the real estate industry. It was judged that a study on a group of experts was also necessary. In addition, even if the impact of Covid-19 is excluded, it is necessary to gradually introduce an appraisal using non-face-to-face or various advanced technologies (the 4th industry). This study differs from previous studies in that it focused on the role of ESG by the Korea Association of Property Appraisers while research on the role of ESG in public institutions or expert groups is being actively conducted in recent years.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.35-47
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• 2014

With the qualitative methods for casino-related policy analysis on sense of residents, the degrees of expectation, support, adequacy, awareness, participation, contribution, and benefit which were derived from results are as follows: Firstly, from the recognition analysis on casino related policy, recognition III ranked at the top, and benefit and contribution II followed next. From the result, promotion policy on closed mine area fell short of expectations. The second phase of development project and appropriate the dead-mine development fund for promotion of substitute industry by the needs of residents. Secondly, derived from the comparative evaluation of casino-related industry, all comparison targets ; awareness of promoting policy and contribution to regional development, participation and contribution to Regional development, benefits and contribution to regional development, participation in the closed-mine area and contribution to regional balanced development, and lastly benefits and regional balanced development) are related to each other.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.3
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• pp.57-73
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• 2017

In the current competitive marketplace of real estate business, tenant satisfaction measurement is one of the important indicators to monitor competitiveness in industrial property development. It has become an industry standard to measure tenant satisfaction, commonly called customer satisfaction. Customer satisfaction has become the widely used metric to manage customer loyalty (Keiningham, Gupta, Aksoy, & Buoye, 2014). The aim of this research is to determine the impact of property management services on tenants' satisfaction with the three identified variables i.e. facility management, perceived quality and lease management. Structural equation modeling (SEM) is applied to build constructs and test the hypotheses with the collected survey samples. Of the three variables, facility management is the most influential factor that leads to tenant satisfaction with industrial buildings. Next, perceived quality is another important factor that contributes to tenants' pleasure. Compared with these two, lease management fares worse, having the least extensive effect on tenant satisfaction, and could be disregarded. The ultimate impact of tenant satisfaction is about tenant retention and recommendation. The overall findings of this research will potentially help real estate developers to develop a better property management system, leasing program and tenant retention strategy.

• Korean System Dynamics Review
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• v.3 no.1
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• pp.43-60
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• 2002

This paper describes the forecast of wholesale price in competitive Korean electricity market using the system dynamics approach. The system dynamics concepts have been implemented with the Ithink software. This software facilitates the development of stock and flow model with information feedback. Using this model, the future wholesale electricity price can be computed hour by hour, quarterly, and yearly. This model also gives the energy planner the opportunity to create different scenarios for the future of deregulated wholesale markets in Korea. Also It will lead to increased understanding of competitive wholesale market as a complex, dynamic system. Research results show that the plant construction appeared in waves of boom and bust in Korean electricity market like real estate construction. That is, the Korea wholesale market's new power plants and the market price will appear the Boom and Bust cycle. It is very similar behavior as real estate industry. In case of consideration of DSM program, The DSM savings lead to a somewhat different timing of the booms in construction and of price spikes. But the DSM programs do not eliminated the fundamental dynamics of the boom and bust. And the wholesale price is maintained at the lower level compared to the case of without DSM program. However, the unexpected result is found that due to the lower market price, Investor make significantly less investment in new CCs, which leads to the higher wholesale price after 2010. It suggests that the DSM Policy must be implemented with the dynamics of competitive Electricity Market.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.214-224
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• 2023

Fraudulence, cheating, and deception can occur in the commercial real estate (CRE) industry, besides the difficulty in searching for and transferring properties while ensuring the operation is processed through an authoritative source in a trusted manner. Nowadays, real estate transactions use neutral third parties to sell land. Indeed, properties can be sold by the owners or third parties multiple times or without a proper deed. Moreover, third parties request a large amount of money to mediate between the seller and buyer. Methods: We propose a new framework that uses a private blockchain network and predefined BPMN instances to enable the fast and easy recording of deeds and their proprietary transfer management controlled by the government. The blockchain allows for multiple verifications of transactions by permitted parties called peers. It promotes transparency, privacy, trust, and commercial competition. Results: We demonstrated the easy adoption of blockchain for land registration and transfer. The paper presents a prototype of the implemented product that follows the proposed framework. Conclusion: The use of Blockchain-based solutions to resolve the current land registration and transfer issues is promising and will contribute to smart cities and digital governance.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.146-158
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• 2008

This paper examines the relationship between the real estate policies of Korean government and the stock market of Korea. It is the purpose of this paper whether the government policies are effective or not when the Korean government release new real estate policies outlining higher taxes and more housing supply as part of its plan to suppress speculation. This paper studies the properties of daily stock returns of the construction sector in Korea securities market when the government announcements of the real estate policies are released. On the demand side, multiple home owners and those purchasing property for speculative purposes are expected to be hit the hardest If the government policies are effective. The empirical results of this paper show that most of the cumulative abnormal returns(CARs) are statistically significant from the year 2002 to the year 2006 except the year 2004.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.228-234
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• 2021

Real estate market participants need to have a sense of predicting real estate prices in decision-making. Commonly used methodologies, such as regression analysis, ARIMA, and VAR, have limitations in predicting the value of an asset, which fluctuates due to unknown variables. Therefore, to mitigate the limitations, an artificial neural was is used to predict the price trend of apartments in Seoul, the hottest real estate market in South Korea. For artificial neural network learning, the learning model is designed with 12 variables, which are divided into macro and micro factors. The study was conducted in three ways: (Ed note: What is the difference between case 1 and 2? Is case 1 micro factors?)CASE1 with macro factors, CASE2 with macro factors, and CASE3 with the combination of both factors. As a result, CASE1 and CASE2 show 87.5% predictive accuracy during the two-year experiment, and CASE3 shows 95.8%. This study defines various factors affecting apartment prices in macro and microscopic terms. The study also proposes an artificial network technique in predicting the price trend of apartments and analyzes its effectiveness. Therefore, it is expected that the recently developed learning technique can be applied to the real estate industry, enabling more efficient decision-making by market participants.

• Journal of Distribution Science
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• v.13 no.12
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• pp.85-94
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• 2015

Purpose - The purpose of this paper is to provide a political registration point for analyzing the economic impacts on the national economy from the REITs distribution industry in our country. The REITs distribution industry was introduced in 2001 to accelerate the corporate restructuring process and advance the real estate market. During its establishment, the REITs distribution industry faced difficulties; however, the industry grew rapidly through interest from institutional investors, thus mitigating the establishment problems by 2006. In Korea, more than 108 REITs were operating as of the end of June 2015. REITs contribute significantly to the national economy. The economic impacts on the national economy of the REITs distribution industry was analyzed using input-output (I-O) analysis with respect to production, imports, value-added, and employment. Research design, data, and methodology - The research used an I-O analysis of the activities of the REITs distribution industry in the national economy. The I-O analysis methodology analyzes the economic effects that influence other industries with respect to one unit of external investment. The data for this analysis were the I-O table of 2013 as published by the Bank of Korea in 2014. Results - The findings of this study are as follows. First, if an external input to the REITs distribution industry is 1 won, the overall impact of the product is 1.3869 won, the import induction is 0.0002 won, and the value-added induction is 0.7656 won. A new investment of 659.9 billion won into the REITs industry was estimated to produce a gross effect of 915.2 billion won. Second, if an external input to the REITs distribution industry is 1 billion won, the employment-inducing effects are estimated at 19.6394 individuals. The employment-inducing coefficient of 19.6394 for the REITs distribution industry indicates that the industry created significant employment-more than other industries-because the coefficient was 2.2 times the 2013 industry average employment-inducing coefficient of 8.8. Third, the investment effects of the REITs distribution industry on production induction, value-added induction, and employment induction are assumed to be large in business support services, financing, communications and broadcasting, and professional, scientific, and technical services. Conclusions - The REITs distribution industry was analyzed as having a strong employment inducing, high value added effect. The REITs distribution industry is an excellent alternative for the government authority to create multilateral jobs. Because the REITs distribution industry has a significant positive impact on the national economy, it should be developed. However, the I-O methodology has restrictions with respect to the fixation and timing of the input coefficient. Follow-up research is expected to supplement the analysis method at a specific point in time.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.59-83
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• 2013

Recently, the importance of the health care industry is increasing due to the rapid changes in the population structure caused by decreasing in fertility rate and aging population. Therefore expansion of government investment in R&D of the health care industry is needed as the demand of health care is increasing. This study attempts to examine the economic impacts of national research and development for the health care industry using an inter-industry analysis. Specifically, the study investigates production-inducing effect, value added inducing effect, and employment-inducing effect of the health care industry based on demand-driven model. These analyses pay particular and close attention to the health care industry by taking it as exogenous rather than endogenous. Here we present results. First, the production-inducing effect and value added inducing effect was high in common real estate and business services and finance and insurance sector. Second, employment-inducing effect of the health care industry showed the highest levels in wholesale and retail sector, followed by the real estate and business services, agriculture sector. Third, the actual 2009 health care industry-related national R&D investment embracing on the production-inducing effect and value added inducing effect. The health care industry R&D induces the production of 4,932 billion won and the value added of 2163 billion won.