• Title/Summary/Keyword: Repeat Sales Model

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Theorizing Length of Relationship as Moderator of Key Account Management Performance- Repeat Order Link

  • Ahmmed, Kawsar;Mohd, Nor Azila
    • The Journal of Economics, Marketing and Management
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    • v.2 no.1
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    • pp.1-17
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    • 2014
  • In today's highly competitive and fast changing business environment, key account management-a supplier company initiated relationship marketing approach targeted at the most important customers to solve their complex requirements with special treatment that eventually ensures both parties' financial and nonfinancial objectives- has regarded as a strategic weapon of many companies' sales efforts to manage their strategically important customers. On the basis of the existing studies, this research introduces a theoretical model highlighting the hypothetical relationship between key account management performance and repeat order. In addition, moderating effect of length of relationship on the relationship between key account management performance and repeat order is also introduced. We theorize the conditions under which key account management performance influences key customer repeat order behavior as well as the influence of moderating variable of length of relationship on key account management performance-repeat order relationship. Theoretical and managerial implications are provided along with suggestions to isolate a platform for future empirical research.

The Impacts of Time-Varying Accessibility of Facilities on Housing Price Change by the Modified Repeat Sales Model - The Case of Subway Line 9 in Seoul - (수정반복매매모형을 활용한 시설접근성의 변화가 주택가격 변화에 미치는 영향 분석 - 지하철 9호선을 중심으로 -)

  • Sung, Hyun-Gun;Kim, Jin-Yo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.3D
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    • pp.477-487
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    • 2011
  • The modified repeat-sales model is employed in this study in order to identify differentiating impacts of time-varying accessibility characteristics on housing price. The results demonstrate that accessibility measures have very differential impacts on housing price over time. The improvement of accessibility through newly built facilities and apartment complex has either increased or decreased housing price. For example, the new subway line 9 has positive impact on housing price nearby, therefore price gap between subway access area and the other parts has been increased. The impact of the wide area facilities such as shopping center and hospital are decreased because they can be used more easily by the new subway line before. However, the small service area facility such as elementary school doesn't lose their impact even though subway accessibility extremely increased. The results imply that new facilities in existing residential site can affect not only housing price but also the other facilities' impact of housing price.

The Development and Application of Office Price Index for Benchmark in Seoul using Repeat Sales Model (반복매매모형을 활용한 서울시 오피스 벤치마크 가격지수 개발 및 시험적 적용 연구)

  • Ryu, Kang Min;Song, Ki Wook
    • Land and Housing Review
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    • v.11 no.2
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    • pp.33-46
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    • 2020
  • As the fastest growing office transaction volume in Korea, there's been a need for development of indicators to accurately diagnose the office capital market. The purpose of this paper is experimentally calculate to the office price index for effective benchmark indices in Seoul. The quantitative methodology used a Case-Shiller Repeat Sales Model (1991), based on actual multiple office transaction dataset with over minimum 1,653 ㎡ from Q3 1999 to 4Q 2019 in the case of 1,536 buildings within Seoul Metropolitan. In addition, the collected historical data and spatial statistical analysis tools were treated with the SAS 9.4 and ArcGIS 10.7 programs. The main empirical results of research are briefly summarized as follows; First, Seoul office price index was estimated to be 344.3 point (2001.1Q=100.0P) at the end of 2019, and has more than tripled over the past two decades. it means that the sales price of office per 3.3 ㎡ has consistently risen more than 12% every year since 2000, which is far above the indices for apartment housing index, announced by the MOLIT (2009). Second, between quarterly and annual office price index for the two-step estimation of the MIT Real Estate Research Center (MIT/CRE), T, L, AL variables have statistically significant coefficient (Beta) all of the mode l (p<0.01). Third, it was possible to produce a more stable office price index against the basic index by using the Moore-Penrose's pseoudo inverse technique at low transaction frequency. Fourth, as an lagging indicators, the office price index is closely related to key macroeconomic indicators, such as GDP(+), KOSPI(+), interest rates (5-year KTB, -). This facts indicate that long-term office investment tends to outperform other financial assets owing to high return and low risk pattern. In conclusion, these findings are practically meaningful to presenting an new office price index that increases accuracy and then attempting to preliminary applications for the case of Seoul. Moreover, it can provide sincerely useful benchmark about investing an office and predicting changes of the sales price among market participants (e.g. policy maker, investor, landlord, tenant, user) in the future.

The Dynamic Effects of Subway Network Expansion on Housing Rental Prices Using a Modified Repeat Sales Model (수도권 지하철 네트워크 확장이 아파트 월세 가격에 미치는 영향 분석 - 수정반복매매모형을 중심으로 -)

  • Kim, Hyojeong;Lee, Changmoo;Lee, Jisu;Kim, Minyoung;Ryu, Taeheyeon;Shin, Hyeyoung;Kim, Jiyeon
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.2
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    • pp.125-139
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    • 2021
  • Continuous subway line expansion over the years in Seoul metropolitan area has contributed to improved accessibility to public transport. Since public transport accessibility has a significant impact on housing decisions, quantitative analysis of correlation between housing prices and public transport accessibility is regarded as one of the most important factors for planning better housing policies. This study defines the reduction of traveling time resulted from the construction of new metro stations despite them not being the closest stations as 'Network Expansion Effect', and seeks to understand how the Network Expansion Effect impacts on housing prices. The study analyzes monthly rent data converted from upfront lump sum deposit, so called Jeonse in Korea, from 2012 to 2018, through 'A Modified Repeat Sales Model.' As a result, the effect of 'Network Expansion' on rental prices in Seoul has stronger during the period of 2017 to 2018 than the base period of 2012 to 2014, which suggests the 'Network Expansion' has a meaningful effect on rent. In addition, in comparison between the most and the least affected group of apartments by 'Network Expansion Effect', the most affected group has more price increase than the least affected group. These findings also indicate that different levels of 'Network Expansion Effect' have various influences on the value of residential real estate properties.

A System Dynamics Approach to Building a Dynamic Customer Satisfaction Model (동태적 고객만족 모형의 전략적 활용 - 통신서비스를 중심으로 -)

  • 연승준;박상현;김상욱
    • Korean System Dynamics Review
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    • v.4 no.1
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    • pp.5-31
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    • 2003
  • Customer satisfaction is generally assumed to be a significant determinant of repeat sales, positive word-of-mouth, and customer loyalty. Therefore most companies in telecommunication industry have tried to satisfy customers with high quality at low price in Korea. Even though these efforts have been tried by companies, customers are not satisfied with discrepancy between their expectation and perceived quality. Moreover, the expectation has dynamic and variable characteristics in results from various effects such n technical progress, improved quality and promotions by companies, word-of-mouth, and so on, Therefore, there are not political leverages in assessing the quality and surveying customer satisfaction index in a point of time. As an initial attempt to tackle the questions listed above, this paper puts an effort to make a dynamic customer satisfaction model to understand customer satisfaction in variable situations by introducing 'systems thinking'.

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Dynamic Changes of Urban Spatial Structure in Seoul: Focusing on a Relative Office Price Gradient (오피스 가격경사계수를 이용한 서울시 도시공간구조 변화 분석)

  • Ryu, Kang Min;Song, Ki Wook
    • Land and Housing Review
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    • v.12 no.3
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    • pp.11-26
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    • 2021
  • With the increasing demand for office space, there have been questions on how office rent distribution produces a change in the urban spatial structure in Seoul. The purpose of this paper is to investigate a relative price gradient and to present a time-series model that can quantitatively explain the dynamic changes in the urban spatial structure. The analysis was dealt with office rent above 3,306 m2 for the past 10 years from 1Q 2010 to 4Q 2019 within Seoul. A modified repeat sales model was employed. The main findings are briefly summarized as follows. First, according to the estimates of the office price gradient in the three major urban centers of Seoul, the CBD remained at a certain level with little change, while those in the GBD and the YBD continued to increase. This result reveals that the urban form of Seoul has shifted from monocentric to polycentric. This shows that the spatial distribution of companies has gradually accelerated decentralized concentration implying that the business networks have become significant. Second, contrary to small and medium-sized office buildings that have undertaken no change in the gradient, large office buildings have seen an increase in the gradient. The relative price gradients in small and medium-sized buildings were inversely proportional among the CBD, the GBD, and the YBD, implying their heterogeneous submarkets by office rent movements. Presumably, those differences in the submarkets were attributed to investment attraction, industrial competition, and the credit and preference of tenants. The findings are consistent with the hierarchical system identified in the Seoul 2030 Plan as well as the literature about Seoul's urban form. This research claims that the proposed method, based on the modified repeat sales model, is useful in understanding temporal dynamic changes. Moreover, the findings can provide implications for urban growth strategies under rapidly changing market conditions.

The Development and Application of the Officetel Price Index in Seoul Based on Transaction Data (실거래가를 이용한 서울시 오피스텔 가격지수 산정에 관한 연구)

  • Ryu, Kang Min;Song, Ki Wook
    • Land and Housing Review
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    • v.12 no.2
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    • pp.33-45
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    • 2021
  • Due to recent changes in government policy, officetels have received attention as alternative assets, along with the uplift of office and apartment prices in Seoul. However, the current officetel price indexes use small-size samples and, thus, there is a critique on their accuracy. They rely on valuation prices which lag the market trend and do not properly reflect the volatile nature of the property market, resulting in 'smoothing'. Therefore, the purpose of this paper is to create the officetel price index using transaction data. The data, provided by the Ministry of Land, Infrastructure and Transport from 2005 to 2020, includes sales prices and rental prices - Jeonsei and monthly rent (and their combinations). This study employed a repeat sales model for sales, jeonsei, and monthly rent indexes. It also contributes to improving conversion rates (between deposit and monthly rent) as a supplementary indicator. The main findings are as follows. First, the officetel price index and jeonsei index reached 132.5P and 163.9P, respectively, in Q4 2020 (1Q 2011=100.0P). However, the rent index was approximately below 100.0. Sales prices and jeonsei continued to rise due to high demand while monthly rent was largely unchanged due to vacancy risk. Second, the increase in the officetel sales price was lower than other housing types such as apartments and villas. Third, the employed approach has seen a potential to produce more reliable officetel price indexes reflecting high volatility compared to those indexes produced by other institutions, contributing to resolving 'smoothing'. As seen in the application in Seoul, this approach can enhance accuracy and, therefore, better assist market players to understand the market trend, which is much valuable under great uncertainties such as COVID-19 environments.

Analysis of SNS(Social Networking Service) functions applicable to electronic commerce for building regular relationship with customers (전자상거래에서 단골관계 형성을 위한 SNS의 기능 분석 및 활용)

  • Gim, Mi-Su;Woo, Won-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.4
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    • pp.131-138
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    • 2015
  • One of the most conspicuous characteristics of a business model that pursues expanding customer relationship is that it tries to lock in customers by encouraging them to repeat purchase in the long-term with the help of "Follow" function in Social Networking Service (SNS), which enables producers to automatically register the customers as potentially important ones and to offer them customized marketing services. In the value chain of the agriculture sector, producers of agricultural products can use SNS functions to provide loyal customers with valuable information and experiences such as the real-time information of their farm and products, hidden stories about the whole process from seeding to harvesting, and the storage and cooking methods of their products. These activities help the producers invoke customers' desire to live in the farm and to grow the products themselves. They also raise the accessibility of the producers' websites as customers are able to share a variety of news and knowledge such as the release of new products. This means that the producers's websites are now functioning to enable the producers to perform sales and promotion related activities. It is a big leap from the traditional e-commerce business model where sales and promotion of a product were separated and could be connected only through outside links. This two-way, viral characteristics of marketing services using SNS facilitate customers to share product information and their purchase experience with each other, which leads to more effective and efficient communication within the customer community.