• Title/Summary/Keyword: Up-selling

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A Study of Learning and Performance Goal Orientation in Restaurant Servers' Up-Selling and Its Impact on Sales Behaviors and Sales Performance (레스토랑 직원의 Up-Selling에 대한 목적 지향성이 판매 행동과 판매 성과에 미치는 영향)

  • Kim, Young-Gab;Hong, Jong-Sook
    • Journal of the East Asian Society of Dietary Life
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    • v.20 no.5
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    • pp.776-784
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    • 2010
  • This study investigated causal relationships between goal orientation, sales and performance towards increasing the effectiveness of up-selling in internal promotion methods in family restaurants and provided implications about the hiring and training of sales people. The subjects were 232 sales people in family restaurants. The data were collected by self-administered questionnaires and analyzed by exploratory factor analysis, reliability analysis, comparative analysis of the average, and regression analysis. Results, showed that variations in goal orientation, sales, and performance depended on the age and experience of salespeople and that goal orientation makes adaptive selling more effective. It turned out that effort selling affects up-selling result than adaptive selling. Long-term workers were better than short-term workers in goal orientation, selling, and up-selling results, so human resource management needs to implement a long-term plan to enhance these effects. And, because effort selling is more effective than adaptive selling in up-selling results in family restaurants, effort selling requires training.

A study on the improvements to revitalize short selling from the perspective of protecting the interests of individual investors (개인투자자 이익보호의 관점에서 본 공매도 활성화를 위한 개선방안 연구)

  • Se-Dong Yang;Jae-Yeon Sim
    • Industry Promotion Research
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    • v.9 no.2
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    • pp.29-35
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    • 2024
  • Recently, the Korean financial market has implemented a ban on unleveraged short selling, and leveraged short selling, which involves selling borrowed securities, is called general short selling. This study sought to come up with improvement measures to revitalize short selling from the perspective of individual investors. Short selling refers to selling stocks you do not own in the stock market, predicting that the stock price of the stock will fall, and borrowing stocks to sell them. Based on the results of this study, the short selling market's growth and improvement plans are as follows. First, a plan must be developed to expand short selling opportunities for individual investors. In the domestic short selling market, including KOSPI and KOSDAQ, foreign and institutional participants account for more than 95% of the market, and individual investors are very small. Therefore, its expansion is inevitable. Second, monitoring and punishment for unfair short selling transactions must be strengthened. Representative improvement measures that can minimize the side effects of short selling include strengthening monitoring of unfair trading and short selling, and raising the level of punishment. In addition, measures must be taken to further increase the level of punishment for short selling related to unfair transactions. Third, the short selling reporting and disclosure system needs to be improved. In the case of Korea, short selling transactions are not yet as active as in developed countries, but there is a need to expand the disclosure system to strengthen market transparency in preparation for future short selling transactions becoming more active. In conclusion, it is reported that if short selling regulations are excessively strengthened, losses may occur in terms of price efficiency and market liquidity, which may ultimately have a negative impact on the market. Therefore, policies related to short selling must be made while taking into account the positive aspects of regulatory effects and the negative impact on the market.

Effects of Recommendation Selling in Family Restaurants on Customer Attitudes, Customer Satisfaction, Customer Purchase Decision Making (패밀리 레스토랑의 메뉴 권유 판매가 고객 태도, 만족, 구매 의사 결정에 미치는 영향)

  • Lee, Yeon-Jung;Ju, Hyun-Sik
    • Culinary science and hospitality research
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    • v.12 no.2 s.29
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    • pp.73-87
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    • 2006
  • The purpose of this study is to investigate if recommendation selling (methods of recommendation selling, a key word used for recommendation, and employee attitude) influences the customers' menu decision. The results of the study are as follows: 'Menu picture' and 'explanation by word' among the tools used by employees for recommendation were found to influence customers' menu decision. The words such as 'new menu' and 'special only today' used by employees for recommendation were found to influence customers' menu decision. Employees' attitude elements such as 'interesting explanation', 'dressed up tidy', 'strong intention', and 'patience' were found to influence customer's menu decision. 'Recommendation selling' in the food and beverage industry means 'employees help customers make a good decision on food and beverage service'. This study makes an important contribution to the food industry in terms of providing substantial marketing strategies.

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A Design of an Intelligent Specialized Customer Module based on One to One Marketing (일대일 마켓팅 기반의 지능형 고객 특화 모듈의 설계)

  • 나윤지;한군희
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.2
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    • pp.108-113
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    • 2004
  • Various studies to increase customer satisfaction of a web based system are performed actively. Also in recent days an interest about the one-on-one marketing that supporting a customer viewpoint service was raised. The study that supporting the one-on-one marketing is required in a web based system. In this study, We designed the intelligent specialized customer module which supporting one-on-one marketing. The proposed system used a data mining technique as a target selling, a cross selling, and upselling so that supporting one-on-one marketing. Also, In experiment on prototype, we show a proposed system was usable in an actual Web base system applying the mining result based on the specialized customer module.

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A Study of to increase Selling for Korea′s Dininng-out industry - In center of cunstomer′s content of family restaruant- (한국외식산업 매출증대에 관한 연구 (패밀리 레스토랑 고객만족도 중심으로))

  • 진양호;강병관
    • Culinary science and hospitality research
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    • v.5 no.1
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    • pp.5-24
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    • 1999
  • The Dining-out industry should catch up with the rapid change of economic environment actively and achieve the objectives of the company. Therefore, the management of Dining-out industry should be focused on the customers' changeable behavior, which is the center of economic environment, and make customers satisfied as the first factor. The purpose of this study is to find out the relation between the customers' content and the growing of selling in Dining-out industry, to compare with the merit and the demerit of the Dining-out industry objectively, and finally to contribute the increasing of selling in Dining-out industry.

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Predicting Selling Price of First Time Product for Online Seller using Big Data Analytics

  • Deora, Sukhvinder Singh;Kaur, Mandeep
    • International Journal of Computer Science & Network Security
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    • v.21 no.2
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    • pp.193-197
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    • 2021
  • Customers are increasingly attracted towards different e-commerce websites and applications for the purchase of products significantly. This is the reason the sellers are moving to different internet based services to sell their products online. The growth of customers in this sector has resulted in the use of big data analytics to understand customers' behavior in predicting the demand of items. It uses a complex process of examining large amount of data to uncover hidden patterns in the information. It is established on the basis of finding correlation between various parameters that are recorded, understanding purchase patterns and applying statistical measures on collected data. This paper is a document of the bottom-up strategy used to manage the selling price of a first-time product for maximizing profit while selling it online. It summarizes how existing customers' expectations can be used to increase the sale of product and attract the attention of the new customer for buying the new product.

Effect of Experiencing Characteristics of Preparatory Business Starters on the Formation of Dynamics for Launching into the Society

  • Chung, Mi-Hye;Park, Key-Yoon;Moon, Young-Ae;Park, Chan-Mee;Park, Sun-Ui;Han, Suk-Hee
    • The International Journal of Costume Culture
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    • v.13 no.2
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    • pp.104-117
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    • 2010
  • The purpose of this study is to find out the effect of on-the-job experiencing program on the formation of dynamics such as creativity, organizing, and clarity necessary for launching into the society through a cause-and-effect analysis to determine the priority of resources investments and improvements of educational courses. As a result, the selling experience and planned workshop were found to have effect on the creative dynamic that preparatory business starters must secure without fail. This means that e-Fashionn Lab(http://www.bc2d.com) which is an experiencing program, is fully accomplishing its initial objective set up at the time of the system design. In addition, the selling experience and the mini-home page experience were found to have effect on the formation of organizing dynamic of preparatory business starters. This shows that the system design to realize the database of personal friendships and personal information is being used fully as an educational practice instruments. Lastly, the selling experience and planned workshops were found to have effect on the formation of clarity dynamic of preparatory business starters as experiencing characteristic has effect on creativity. However, the community (work room) experience was found to have no effect on the formation of dynamics necessary for preparatory business starters to advance into the society at this study. This signifies that the system input resources should be pushed back in priority and that curriculums and system design should be concentrated on strengthening the selling experience and planned workshop in general.

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A Study on the Solution of Unsold Houses through User Centered Marketing Strategies (수요자 중심의 마케팅 전략을 통한 미분양 주택 해소방안에 관한 연구)

  • Lee, Gwang-Kyun;Lee, Joo-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1318-1326
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    • 2014
  • The change of concept about real estate marketing and the solution about unsold houses are getting important nowadays. This paper is analyzing the solution of unsold houses as location environment, residential environment, macro environment, and marketing, and research question is which elements are important to real users. In addition, this paper is analyzing on impact relationship in terms of real users' buying intention about unsold houses and satisfaction of price of selling a house (price of selling a house, rise in housing value) by PLS structural equation. To sum up, first, macro environment, residential environment, location environment is statistically valued on the satisfaction of price of selling a house. However, marketing strategic is not impacted on the satisfaction of price of selling. Second, macro environment, marketing strategic, satisfaction of selling a house is statistically valued on buying intention.

A Study on System Applications of e-CRM to Enforcement of consumer Service (e-Commerce 쇼핑몰의 소비자 서비스 강화를 위한 활용연구)

  • Kim Yeonjeong
    • Journal of the Korean Home Economics Association
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    • v.43 no.3 s.205
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    • pp.1-10
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    • 2005
  • The purpose of this study was to investigate the enforcement strategy for Consumer Service marketing of an e-Commerce shopping mall. An e-CRM for a Cosmetic e-Commerce shopping mall, Data Warehousing(DW) component, analysis of data mining of the DW, and web applications and strategies had to developed for marketing of consumer service satisfaction. The major findings were as follows: An RFM analysis was used for consumer classification, which is a fundamental process of e-CRM application. The components of the DW were web sales data and consumer data fields. The visual process of consumer segmentations (superior consumer class) for e-CRM solutions is presented. The association analysis algorithm of data mining to up-selling and cross-selling indicates an association rule. These e-CRM results apply web DB marketing and operating principles to a shopping mall. Therefore, the system applications of e-CRM to Consumer services indicate a marketing strategy for consumer-oriented management.