• 제목/요약/키워드: Sales management

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The Prediction of the Apartment Construction Project Cashflow with Changing Sales Point (분양시기 변동에 따른 공동주택 건설공사 현금흐름 예측)

  • Bae Jun-Ho;Kim Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.234-237
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    • 2003
  • The Korean housing supply have been provided by the Pre-construction sales system. The Pre-construction sales system contributed to large housing supply. But it followed by the market anomaly. Along the housing market is changing to tile market for consumers, it requires new policy and regulations. This market changes and needs to modify the policy make a discussion about introducing the Post-construction sales system. it concerns to change the time to sale. This paper analyzes the present feasibility study and makes a tool to predict construction cashflow considering changed sales point. The sales timing leads to decide the amount of financial costs in the construction project and that cost affects to the feasibility. The accurate cashflow prediction is required for a successful apartment construction delivery.

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Linking Findings from Text Analyses to Online Sales Strategies (온라인상의 기업 및 소비자 텍스트 분석과 이를 활용한 온라인 매출 증진 전략)

  • Kim, Jeeyeon;Jo, Wooyong;Choi, Jeonghye;Chung, Yerim
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.2
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    • pp.81-100
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    • 2016
  • Much effort has been exerted to analyze online texts and understand how empirical results can help improve sales performance. In this research, we aim to extend this stream of research by decomposing online texts based on text sources, namely, companies and consumers. To be specific, we investigate how online texts driven by companies differ from those generated by consumers, and the extent to which both types of online texts have different effects on online sales. We obtained sales data from one of the biggest game publishers and merged them with online texts provided by companies using news articles and those created by consumers in user communities. The empirical analyses yield the following findings. Word visualization and topic analyses show that firms and consumers generate different contexts. Specifically, companies spread word to promote their own events whereas consumers produce online words to share winning strategies. Moreover, online sales are influenced by consumer-generated community topics whereas firm-driven topics in news articles have little to no effect. These findings suggest that companies should focus more on online texts generated by consumers rather than spreading their own words. Moreover, online sales strategies should take advantage of specific topics that have been proven to increase online sales. In particular, these findings give startup companies and small business owners in variety of industries the advantage when they use the online channel for distribution and as a marketing platform.

Analysis of the Korean Housing Market Mechanisms and Housing Sales Policies Using System Dynamics (시스템다이내믹스를 이용한 분양 제도 변화에 따른 주택 시장 영향 분석)

  • Park, Moon-Seo;Ahn, Chang-Bum;Lee, Hyun-Soo;Hwang, Sung-Joo
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.3
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    • pp.42-52
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    • 2009
  • From the beginning of 2000, Korean housing market has experienced cyclical volatility because of the global economic fluctuation such as steady decline in the interest rate and the house price bubble. In response to these state Korean Government announced policies about housing sales system kinds of Sales Unit Price Restraint and Post-Sales System to stabilize housing market. But such policies has brought unprecedented arguments both for and against, most of whom still seem to stick to self-centered judgement ahead of impact on housing market. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing basic Korean housing market dynamics models based on basis principles of housing market determined by supply and demand. And then, after research policies about housing sales system, analyze Impact on Korean Housing Market by change of Sales Systems applying policies to basic Korean housing market dynamics models.

A Regression Model for Forecasting the Initial Sales Ratio of Apartment Building Projects (아파트 프로젝트의 초기 분양률 예측 회귀모델)

  • Son, Seung-Hyun;Kim, Do-Yeong;Kim, Sun-Kuk
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.5
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    • pp.439-448
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    • 2019
  • There are various factors affecting the success and failure of an apartment building project. However, after the unit sale price has been determined and the sale has started, the most important factor affecting on the project is the initial sales ratio for one month after the sale. Generally, developers predict an initial sales ratio by various data such as economic situation, the trend of the housing market, and the house price near the business place. However, it is very difficult for these factors to be calculated quantitatively in connection with the initial sales ratio. Therefore, the purpose of this study is to develop a regression model for forecasting the initial sales ratio of apartment building projects. For this study, pre-sales data collection, correlation analysis between influencing factors, and regression model development are performed sequentially. The results of this study are used as basic data for predicting the initial sales ratio in the feasibility analysis of apartment building projects and are used as key data for the development of the risk management model.

Effect of Online Word of Mouth on Product Sales: Focusing on Communication-Channel Characteristics

  • Jeon, Jaihyun;Lim, Taewook;Kim, Byung-Do;Seok, Junhee
    • Asia Marketing Journal
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    • v.21 no.2
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    • pp.73-98
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    • 2019
  • As information and communication technology continue its remarkable development, the exchange of information online becomes as prevalent and frequent as face-to-face communication in daily life. Therefore, the management and application of WOM (word of mouth) practices will become more important than ever to companies. Currently, there are various types of communication channels for online WOM, and each channel has its own unique traits. Most of the previous research studies online WOM by examining the information inside a single communication channel, but this research chooses two different communication channels and analyzes the effects of online WOM with each channel's unique characteristics. More specifically, this research focuses on the expectation that the effects of information from Twitter and blogs on product sales may differ because Twitter and blogs, two different communication channels for online WOM, have their own unique traits. Our particular aim is to perform an in-depth examination on the effects of communication channel's volume and valence on product sales, two important attributes of online WOM. Furthermore, while most of the empirical research focuses on online WOM and analyzes its effect on markets of temporary experience goods, such as movies and books, this research highlights focuses on the automobile market, a durable goods market. The results of our analysis are as follows: First, regarding blogs, a positive valence significantly and positively affects the sales of products, and this result indicates that consumers are influenced more by the emotional aspect of a product presented in a post than by the number of blog posts. Second, regarding Twitter, the volume of online WOM significantly and positively affects sales, an indication that as the number of posts increase, the sales increase. Through this research, we suggest that even those firms that sell durable goods can increase sales through the management and application of online WOM. Moreover, according to the characteristics of communication channels, the effects of online WOM on sales differ. As a practical implication of this research, we suggest that companies can and should create marketing strategies appropriate to their targeted communication channels.

Linear Relationship between Expenditure on intangible capital and Sales - aviation service and related manufacturing firms (항공운송업 및 관련 제조업의 무형자산성 지출과 매출액 간의 선형 관계 실증 분석)

  • Kim, Jeong-Yeon
    • Journal of Advanced Navigation Technology
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    • v.16 no.6
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    • pp.1116-1122
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    • 2012
  • Many researches predicted the linear relationship between discretionary expenditure and sales amount in manufacturing companies. We review their relationship based on financial reports of KOSDAQ and KOSPI listed companies in category of non-durable goods. Also we review the relationship between expenditure on intangible capital and sales amount in aviation service and related manufacturing firms. Identified manufacturing firms showed linear relationship between R&D expenditure and sales amount. On the contrary, aviation service and related manufacturing companies do not have linear relationship between expenditure on intangible capital and sales, while their general management and sales expenditure has linear relationship with sales. It shows aviation service and related manufacturing company keep advertising or R&D related expenditure as sales revenue decreases, while manufacturing companies of non-durable goods has a tendency to reduce it as sales revenue decreases.

Core Self-Evaluation and Sales Performance of Female Salespeople in Face-to-Face Channel

  • YOON, Duk Woon;KIM, Bo Young;OH, Sung Ho
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.5
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    • pp.205-216
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    • 2020
  • This study seeks to empirically analyze the effects of core self-evaluation and adaptive selling behavior on sales performance for female salespersons engaged in door-to-door sales through the face-to-face channel in the wellness industry. This study seeks to examine the importance of adaptive selling, through, salespeople derive appropriate strategies in response to market changes. For female salespeople who use face-to-face channels, this study empirically investigated the relationship between core self-evaluation and adaptive selling, and effects on sales performance. A 31-item survey was constructed, based on prior research. We selected six door-to-door sales companies in South Korea and conducted one-to-one interviews with female salespeople in the Seoul metropolitan area and analyzed 208 pieces of significant data. Results demonstrated that among the core self-evaluation factors for female salespeople, self-esteem, self-efficacy, and neuroticism had an effect on adaptive selling factors, while locus of control did not. These factors were found to affect sales performance through the mediating role of adaptive selling. Improvements in the adaptive selling capabilities of female salespeople in charge of face-to-face channels positively affected sales performance. Management efforts are required to enhance self-esteem, self-efficacy, or neuroticism. These results suggest that companies should support enhancing individual adaptive selling capabilities of their salespeople.

Design of Sales Strategy according to 4P Characteristics (4P 특성치를 고려한 판매전략 설계에 관한 연구)

  • Kim, Chang-Shik
    • Journal of the Korea Safety Management & Science
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    • v.10 no.4
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    • pp.259-265
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    • 2008
  • Domestic industry has a long history, but it has been suffering for a long time due to its poor competitiveness in management ability, supply of materials, technological development, sales marketing, and distribution networks. Moreover, the industry has not established its strong presence in the world market but is exposed to increasingly greater agonies because of inactive domestic demands, increase rate of import versus export, diversified government policies, and non-selective introduction of high-quality and low-priced foreign named brands of ceramics into the country. Theses factors have partly contributed to consumers' low or negative recognition.

Study on Sales Amount of Enterprise and Labor Employment (기업의 매출액과 종업원고용에 관한 고찰)

  • Son Jong-Ho;Im Jun-Sik
    • Management & Information Systems Review
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    • v.12
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    • pp.181-201
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    • 2003
  • An employee employment of Enterprise must consider efficiency, balance attribute and effectiveness as important variable. but Our country's Enterprise reduce the personnel without basic guide line about employee employment. because Our country's Enterprise thinks of personnel expenses or sales amount decrease as important variable. Therefore, Research background sets out that there is no basic guideline for employment management one of the most important elements in Enterprise administration. and I examined employment control's concept and concept about softness of labor market in theoretical background setting. Also, was abreast of employment control effect, case study and literature research about employment control's basis. Finally, In fluctuation change of Enterprise's employee number, I examined which relation is formed in comparison with sales amount, net profit and the employee number of individual Enterprise using investment analysis material of Stock Company focused on Enterprise that stock is listed on the stock exchange.

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Development of a Daily Electricity Business Index by using the Electricity Daily Data of the Manufacturing Sector (제조업 일별 전력 사용량을 활용한 일일전력경기지수(DEBI) 개발)

  • Oh, Seunghwan;Park, Sungkeun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.3
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    • pp.59-74
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    • 2016
  • Electricity sales are directly measured from individual consumers, which could minimize the time gap between data collection and public announcement. Furthermore, industrial electricity sales are highly linked with production and output. Therefore, industrial electricity consumption can be used to track production and output in real time. By using the high-frequency data of industrial electricity sales, this study develops the daily electricity business index (DEBI) to capture the daily economic status. The steps used to formulate DEBI are as follows: (1)selection of the explanatory variables and period, (2) amendment of the seasonal adjustment to eliminate daily temperature and effective day effects, (3) estimation of the weighted value via variables by using PCA, (4) calculation of DEBI and commencement of validation tests. Our empirical analysis and the Hodrick-Prescott filter analysis show that DEBI is highly related to existing economic indices.