• The Journal of Economics, Marketing and Management
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• v.11 no.3
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• pp.81-92
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• 2023

Purpose: The purpose of this study is to identify the determinants of store occupancy based on the rental characteristics of small and medium-sized enterprises (SMEs) renting buildings across the country, and to analyze the satisfaction level after opening. Research design, data and methodology: The study conducted an empirical survey through questionnaires targeting individual business owners, corporate representatives, and executives and employees nationwide, including Seoul, Gyeonggi, and other metropolitan areas and provincial cities. Results: In this study, the most important factor that SMEs consider when deciding whether to rent a commercial building or office is financial characteristics, followed by management characteristics, location characteristics, building characteristics, and facility characteristics. In addition, management characteristics were found to have the greatest impact on rental satisfaction of SMEs, followed by financial characteristics, building characteristics, and location characteristics in order. Conclusions: Since the lessor cannot immediately improve the location characteristics or building characteristics, in order to increase the rental satisfaction of small and medium-sized businesses in a relatively short period of time, it is necessary to improve managerial characteristics such as prompt civil complaint handling and clean management of the building. In addition, it is analyzed that if the factors that can reduce the burden on the tenants are found in advance and reflected in the financial characteristics, the satisfaction of the tenants can be increased.

• The Journal of Industrial Distribution & Business
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• v.11 no.8
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• pp.31-38
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• 2020

Purpose: This study uses 'Autoregressive Integrated Moving Average Model' to predict the impact of a sharp drop in the base rate due to COVID-19 at the present time when government policies for stabilizing house prices are in progress. The purpose of this study is to predict implications for the direction of the government's house policy by predicting changes in house transaction prices and house rental prices after a sharp cut in the base rate. Research design, data, and methodology: The ARIMA intervention model can build a model without additional information with just one time series. Therefore, it is a time-series analysis method frequently used for short-term prediction. After the subprime mortgage, which had shocked since the global financial crisis in April 2007, the bank's interest rate in 2020 is set at a time point close to zero at 0.75%. After that, the model was estimated using the interest rate fluctuations for the Bank of Korea base interest rate, the house transaction price index, and the house rental price index as event variables. Results: In predicting the change in house transaction price due to interest rate intervention, the house transaction price index due to the fall in interest rates was predicted to change after 3 months. As a result, it was 102.47 in April 2020, 102.87 in May 2020, and 103.21 in June 2020. It was expected to rise in the short term. In forecasting the change in house rental price due to interest rate intervention, the house rental price index due to the drop in interest rate was predicted to change after 3 months. As a result, it was 97.76 in April 2020, 97.85 in May 2020, and 97.97 in June 2020. It was expected to rise in the short term. Conclusions: If low interest rates continue to stimulate the contracted economy caused by COVID-19, it seems that there is ample room for house transaction and rental prices to rise amid low growth. Therefore, In order to stabilize the house price due to the low interest rate situation, it is considered that additional measures are needed to suppress speculative demand.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.83-94
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• 2022

The number of public rental housing has increased according to the government's 「Housing Welfare Roadmap (2017)」, and facility maintenance costs for the demand of improvement of performance and residential standards due to the aging of long-term public housing are significantly increasing. Consequently, the financial burden of public housing rental business for maintaining stocked housing is aggravated. However, there is a lack of objective data to analyze the size of the maintenance costs that are executed by the type of repair work, and the elapsed years of the aged long-term public rental housing. This study analyzes the execution status of 33 long-term public rental housing complexes located in Seoul for 14 to 28 years of elapsed years based on the data of maintenance costs. In addition, this study proposes a model to predict the maintenance costs by elapsed years by dividing 'Long-term Repair Plan Work and Government-Funded Project [Y₁]', 'Planned Repair Work and General & Unplanned Repair Work [Y₂]', and 'Total maintenance costs [Y₃]'. It is intended to be used as basic data for the establishment of the maintenance plan at the stage of setting up the budget and the establishment of the sustainable operation plan for public rental housing

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.197-201
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• 2007

Some problems such as scale is small, lacking fund and talent are exist in SMEs. How to improve the management & e-business level of SMEs become a world problem. To solve this problem, Yunnan SME Bureau request Yunnan Information & Telecom network (YNINFO Co,. Ltd.) to develop a ASP platform-- "Interior management for Yunnan SMEs and e-business service", the platform which is convenient in use and reasonable in price has been offered to SMEs by rental way.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.673-689
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• 2019

The Internet enables businesses to acquire a great deal of information, including prices in the open markets. In this study, we investigate what the value of reference price information is to a company in the market and how the company can make use of such information. Using business analytics, we were able to estimate prices of used cars for a rent-a-car company. The results show that a smart pricing information system is useful for collecting online reference price information and for estimating future prices of used cars and rental prices.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.877-882
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• 2008

The column gap of underground parking lots of office considering a business background and effective parking divisions is planned. A parking plan by column gap of fixed forms in atypical underground parking lots makes much extra storage rooms. Most of the edge of the parking lots are used for fan room. Part of the edge are located at parking ramps. Also warehouses are located in extra storage rooms. In this study compare study economical efficiency between life cycle costs and leases earnings. Consequently, It is proved that the warehouse rental is efficient because of lease earning guaranted years.

• Industrial Engineering and Management Systems
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• v.13 no.4
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• pp.432-441
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• 2014

As the business model is receiving considerable attention these days, the ability to collect business model related information has become essential requirement for a company. The annual report is one of the most important external documents which contain crucial information about the company's business model. By investigating business descriptions and their future strategies within the annual report, we can easily analyze a company's business model. However, given the sheer volume of the data, which is usually over a hundred pages, it is not practical to depend only on manual extraction. The purpose of this study is to complement the manual extraction process by using text mining techniques. In this study, the text mining technique is applied in business model concept extraction and business model evolution analysis. By concept, we mean the overview of a company's business model within a specific year, and, by evolution, we mean temporal changes in the business model concept over time. The efficiency and effectiveness of our methodology is illustrated by a case example of three companies in the US video rental industry.

• Journal of Distribution Science
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• v.11 no.2
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• pp.11-21
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• 2013

Purpose - The purpose of the study is to promote the adoption of traditional liquor product contents in order to revitalize the market and to increase consumer awareness of traditional liquor. Research design, data, methodology - In this study, the 4P relationship model was evaluated that included the self-supporting business of traditional liquor, continuous business, diversification of the types of the liquor, and discovery of preliminary social enterprises for the distribution of the liquor. Results - The study suggested a 4P relationship model that consisted of traditional liquor as the product, traditional market as the place, promotion within traditional market, and payment of labor costs. In other words, selection of the traditional liquor product, place, rental supports, distribution and delivery strategies, operations, public relations and training, foundation of social enterprises, and discussion between departments. Conclusions - The central government, local governments, and merchants (the market association) should actively cooperate with each other to revitalize the market for traditional liquor. Social enterprises that rely on a non-profit business model are likely to revitalize the traditional liquor market.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.89-96
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• 2019

The purpose of this study is to investigate Nest Labs (Nest)'s business strategy. The activities based on strategic choices for monetizing connected product are investigated. Nest's capacity and functionality is to offer a seamless integration of devices, platforms, and services and the "Works with Nest" offers an ecosystem fulfilling the needs of different partners. For monetizing customer data, Nest provides a seamless customer experience supported by product incentives. Nest introduces open APIs to connect its connected products to the wider Internet of things (IoT) and open to "If This, Then That." The Nest app controls them from one single place. Nest partners with 32 energy providers as of 2017 and they provide energy from renewable and non-renewable energy sources. Nest also creates a sales channels in direct and indirect route and expands is business model to other industries such as home-rental service, 'AirBnB' to help consumers become more energy-efficient at home.

• Journal of the Korean housing association
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• v.24 no.5
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• pp.9-16
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• 2013

The purpose of this study is to analyze local-based social welfare facilities to respond to secular change of the UR rental housing estates in Japan. The selected case studies for the analysis are Hibarigaoka, Hamakousien, Turumai UR rental housing estates constructed around 1960's. The analysis was done through UR website, MLIT (Ministry of Land, Infrastructure, Transport and Tourism) and MHLW (Ministry of Health, Labour and Welfare) policy report, and related literature. These case studies are connected with housing policy as well as welfare policy and performed to Stable Living Creation Project by Business Entry System for Stable Living. The types of local-based social welfare facilities are classified by welfare corporation and medical corporation. The results are as follows: 1) The implementation of cooperative and participative system not only the private sector (welfare and medical Corporation, etc.) but also the public (MLIT, MHLW, UR Renaissance Agency, Local government, etc.). 2) Repurposed of land through rent and transfer of land for local-based social welfare facilities in the process of housing stock renewal utilization. 3) The pursue of regional revitalization through attached to multi-generation facility or local community space for elderly in local-based social welfare facilities.