• 제목/요약/키워드: Advanced Selling

검색결과 45건 처리시간 0.021초

사전예약을 통한 구매결정이 소비자의 선택에 미치는 영향력의 작동원리에 관한 실증연구 (The Mechanism of the Influence of Advanced Selling on Consumer Choice)

  • 김경호;이형탁;서헌주
    • 유통과학연구
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    • 제14권6호
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    • pp.81-87
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    • 2016
  • Purpose - In recent, a research finds that advanced selling can influence a consumer's choice(Kim et al., 2013). Advanced selling is defined as the new product launching strategy which company allows consumers to preorder new product before its release(Chu & Zhang, 2011). Prior researches have focused on the benefits of advanced selling(e.g., information gathering for demand prediction, an advantage for pricing strategy, and so on) for companies using this strategy(Chen, 2001; Chu & Zhang, 2011; Li & Zhang, 2013; Tang et al., 2004; Xie & Shugan, 2009). However, Kim et al.(2013) find it can also influence a consumer's choice. In detail, they suggest that when consumers use advanced selling, they are likely to prefer high-performance options rather than low-price options based on construal level theory(Trope & Liberman, 2003). In this paper, we tried to expand the prior researches for finding the mechanism of the influence of advanced selling on a consumer's choice. The purpose of this research is to test the mediating effect on the influence of advanced selling. Research design, data, and methodology - To find the mechanism of the influence of advanced selling, we designed an experiment for testing mediation effect. we recruited 93 students from a university. We assigned participants into one of two groups using randomization method. The participants with each group were given a scenario describing the sales strategy. Finally, they made a choice between high-performance option and low-price option. Sequentially, they also responded some questions for testing mediation effect. Results - First, we replicated prior research to test the influence of advanced selling. As a result, we could find that consumers prefer the high-performance option when they preorder it to purchase at the time of consumption. Thus, the replication result is the same as prior research. Second, we tested that advanced selling can influence the perception of temporal distance. The results confirmed that consumers perceived longer temporal distance in advanced selling condition(β = 1.575, SE = 0.272, p < 0.001). Third, we predicted that temporal distance can increase the importance of desirable attributes and decrease the importance of feasible attributes. The results suggested that temporal distance decreased significantly the importance of attributes related to feasibility(β = -0.19, SE = 0.07, p < 0.01), however, it had non-significant effect on increasing the importance of desirable attributes. Finally, we used Sobel-test for testing mediation effect, and it confirmed that the importance of feasible attributes had mediating role of the influence of advanced selling(Sobel test statistic = -2.110, SE = 0.111, p < 0.05). Conclusions - In this paper, we tried to find the mechanism of the influence on advanced selling from a consumer's choice. With an experiment, we confirmed that the importance of feasible attributes could mediate the effect on advanced selling. Therefore, we suggested some theoretical and practical contributions from this research. Finally, we discussed research limitations and suggested future research topics.

Fear & Greed Index 기반 미국 주식 단기 매수와 매도 결정 시점 연구 (Research on Determine Buying and Selling Timing of US Stocks Based on Fear & Greed Index)

  • 홍성혁
    • 산업융합연구
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    • 제21권1호
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    • pp.87-93
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    • 2023
  • 주식 투자에서 매수와 매도의 타이밍을 결정하는 것은 주식 투자의 수익률 올리기 위해 가장 중요한 요인 중에 하나이다. 주식은 싸게 사서 비싸게 팔면 이익이 되지만, 비싸게 사서 싸게 팔면 손해가 된다. 주식의 가격을 결정하는 매수와 매도의 물량에 의해 가격이 결정이 되고, 매수와 매도는 기업실적, 경제지표와도 관련이 있다. CNN에서 제공하는 공포와 탐욕지수는 7가지 요소를 사용하고, 각 요소에 가중치를 부여하여 탐욕과 두려움으로 정의한 가중치 평균을 0~100 사이의 척도로 계산하여 매일 발표하고 있다. 지수가 0에 가까우면 주식시장 심리가 두려운것이고, 100에 가까우면 탐욕스러운 것이다. 따라서 미국 S&P 500 지수를 CNN 공포와 탐욕지수에 따른 매수와 매도를 할 경우 최대 수익률이 발생하는 매매 기준을 분석하여 최적의 매수와 매도 타이밍을 제시하여 주식투자에 수익률을 높일 수 있는 방안을 제시하고자 한다.

Distributor's Lot-sizing and Pricing Policy with Ordering Cost inclusive of a Freight Cost under Trade Credit in a Two-stage Supply Chain

  • Shinn, Seong-Whan
    • International Journal of Advanced Culture Technology
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    • 제8권1호
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    • pp.62-70
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    • 2020
  • As an effective means of price discrimination, some suppliers offer trade credit to the distributors in order to stimulate the demand for the product they produce. The availability of the delay in payments from the supplier enables discount of the distributor's selling price from a wider range of the price option in anticipation of increased customer's demand. Since the distributor's lot-size is affected by the demand for the customer, the distributor's lot-size and the selling price determination problem is interdependent and must be solved at the same time. Also, in many common business transactions, the distributor pays the shipping cost for the order and hence, the distributor's ordering cost consists of a fixed ordering cost and the shipping cost that depend on the order quantity. In this regard, we deal with the joint lot-size and price determination problem when the supplier allows delay in payments for an order of a product. The positive effects of credit transactions can be integrated into the EOQ (economic order quantity) model through the consideration of retailing situations, where the customer's demand is a function of the distributor's selling price. It is also assumed that the distributor's order cost consists of a fixed ordering cost and the variable shipping cost. We formulate the distributor's mathematical model from which the solution algorithm is derived based on properties of an optimal solution. A numerical example is presented to illustrate the algorithm developed.

A Study on New Power Business Model Using Power Information Technology

  • Bae, Sung-Hwan;Kim, Ja-Hee;Lim, Han-Seung
    • Journal of Electrical Engineering and Technology
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    • 제5권3호
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    • pp.379-388
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    • 2010
  • The Korea Electric Power Corporation (KEPCO) recorded 2.9 trillion won deficit in the aftermath of the world financial crisis. KEPCO is trying to escape from the business crisis in every way; however, it is impossible to make huge profit by selling electricity alone. Overseas electrical utilities make profits by selling gas and heat along with electricity. However, it is difficult for KEPCO to enter the gas and the heat selling market because other public companies are already dealing with them. In this situation, improving the business is possible when KEPCO develops a new business model and creates added value using Korean advanced Power IT combined with electricity. This study shows a new business model using Power IT, based on a survey targeting managers in KEPCO branch office and electrical engineers in the field. We hope the new business model suggested in this study is adapted to the real field to create high value in the future.

중소 IT기업 영업사원의 경쟁력 강화를 위한 성과 창출 제고 방안: 조직시민행동 및 경영성과 제고 방안을 중심으로 (The Ways to Improve Competitiveness and Performance for Salesmen of Small and Medium IT Company: Focusing on Organizational Citizenship Behavior and Corporate Performance)

  • 이규돈;이상진;이철규
    • 한국전자거래학회지
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    • 제21권3호
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    • pp.101-128
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    • 2016
  • 본 연구의 목적은 중소 IT기업의 영업사원이 경쟁력 강화를 위하여 가치지향성, 리더십, 공정성이 조직시민행동과 경영성과에 미치는 영향을 알아보고 나아가 매개변수로써 적응적 판매행위의 역할을 탐구하는데 있다. 연구를 위해서 구조화된 질문지를 이용하여 200여 개 회사의 종사자로부터 314명의 자료를 수집하였고 수집된 자료는 회귀분석방법을 사용하여 분석하였다. 기업의 장기적인 지속경영을 위해 상도를 지키는 것이 중요함에도 단기적인 이익 생존을 위해 불공정한 방법의 영업전략이 선호되는 현상에서 'IT기업의 영업사원의 가치지향성, 리더십, 공정성이 조직 시민행동과 경영성과에 미치는 영향'을 연구하는 것을 바탕으로 연구모형을 수립하였다. 본 연구의 가설은 다음과 같이 설정하였다. 첫째, 가치지향성, 리더십, 공정성은 조직시민행동과 경영성과에 영향을 미칠 것이다. 둘째, 적응적 판매행위는 독립변수와 종속변수 사이에서 매개역할을 할 것이다. 매개효과 검정을 포함한 본 연구모형 분석 결과는 가치지향성은 적응적 판매행위에, 적응적 판매행위는 조직시민행동과 경영성과에 정(+)의 영향을 미치며, 적응적 판매행위는 가치지향성과 조직시민행동을 완전매개하고 가치지향성과 경영성과 사이를 부분매개하는 것으로 확인되었다. 리더십은 적응적 판매행위에 정(+)의 영향을, 적응적 판매행위는 조직시민행동과 경영성과에 정(+)의 영향을 미치며, 적응적 판매행위는 리더십과 조직시민행동에서는 부분매개로 리더십과 경영성과 사이에서 완전매개 역할을 하고 있는 것으로 확인되었다. 따라서 각 기업에서는 지속가능경영을 위해 가치지향성, 공정성에 대한 중요성을 고려한 영업전략을 수립하는 것이 매우 중요하며 그에 따른 회사의 윤리경영 및 영업사원의 가치관을 올바르게 지속시켜 줄 수 있는 교육시스템에 대한 영업환경을 적극 고려해 볼 필요가 있다.

인공신경망을 이용한 한국 종합주가지수의 방향성 예측 (Predicting Korea Composite Stock Price Index Movement Using Artificial Neural Network)

  • 박종엽;한인구
    • 지능정보연구
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    • 제1권2호
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    • pp.103-121
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    • 1995
  • This study proposes a artificial neural network method to predict the time to buy and sell the stocks listed on the Korea Composite Stock Price Index(KOSPI). Four types (NN1, NN2, NN3, NN4) of independent networks were developed to predict KOSPIs up/down direction after four weeks. These networks have a difference only in the length of learning period. NN5 - arithmetic average of four networks outputs - shows an higher accuracy than other network types and Multiple Linear Regression (MLR), and buying and selling simulation using systems outputs produces higher reture than buy-and-hold strategy.

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The V-Shaped Disposition Effect in the Stock Exchange of Thailand

  • WAIYASARA, Kunthorn;PADUNGSAKSAWASDI, Chaiyuth
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.55-65
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    • 2020
  • The objective of this study is to investigate how investors in the Stock Exchange of Thailand practically trade in response to a magnitude of profits and losses, given a discussion of the widely well-known behavioral explanation, so called as the disposition effect. We provide empirical evidence of an existence of the V-shaped disposition effect, which has been recently found in several advanced equity markets. By adopting the methodology suggested by An's (2016) and Fama and Macbeth (1973), we document that stock return patterns in relation to aggregate unrealized gains and losses of investors are consistent with the V-shaped selling schedule, given an increase in unrealized gains and losses over the period of January 1996 to December 2015. The effect of unrealized gains is stronger than that of unrealized losses and this asymmetry underlies the existence of the V-shaped disposition effect in the Thai equity market. Interestingly, the effect of the V-shaped selling schedule is strongest over the short-term holding time horizon. Last but not the least, stocks for which investors have large unrealized gains and losses outperform in the following month and the long-short trading strategy, based on this premise, generates the average 1.7% monthly (equivalent to 20.0% per year) abnormal return.

Efficient Operation Policy in a Closed-loop Tire Manufacturing System with EPR

  • Ko, Young-Dae;Hwang, Hark
    • Industrial Engineering and Management Systems
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    • 제8권3호
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    • pp.162-170
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    • 2009
  • This paper deals with a closed-loop remanufacturing system with one manufacturer and one remanufacturer. The manufacturer sells new products bearing the 'Extended Producer Responsibility (EPR).' It is assumed that the manufacturer's collection rate of used products depends only on the buy-back cost, while that of the remanufacturer depends on the minimum allowed quality level of used products in addition to the buy-back cost. Through the development of mathematical models with the objective function of maximizing profit, we study an efficient operation policy of each party. The decision variables are the unit selling price of new products and remanufactured products, the unit buy-back cost of the used products of the manufacturer and remanufacturer, and the minimum allowed quality level. The validity of the model is examined through numerical examples and sensitivity analysis.

Dynamic Fuzzy Cluster based Collaborative Filtering

  • Min, Sung-Hwan;Han, Ingoo
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2004년도 추계학술대회
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    • pp.203-210
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    • 2004
  • Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

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식품위생에 관한 교육홍보를 위한 연구 (A Study of the Need Assessment for the Public Food Sanitation Education)

  • 윤석인;계승희;김영찬;정은영
    • 한국식생활문화학회지
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    • 제6권3호
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    • pp.293-299
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    • 1991
  • The purpose of this study were to investigate opinions on the contents and method of the educational public information of food sanitation, to enrich education of food sanitation for consumer. Data of questionnaires were collected from 78 consumer protection association and 66 food industrial company. The results of the study were summarized as follows; The educational public contents of food sanitation appropriated is remarked as a basic knowledge in a safety of food (an additive, an agricultural medicines) and in nutrition and sanitation. The effective method of public information is suggested as a TV, Radio, utilization of periodicals and pamphlet. The crucial problem of the imported food surveyed in the consumer protection association is an agricultural medicines and a heavy metal. In the food industrial company, it is remarked that the problem occurs in deposit and storage of food from the standpoint of sanitation. Finally, improvement of sanitary condition in food selling place is suggested.

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