• 제목/요약/키워드: Retailing Management

검색결과 111건 처리시간 0.028초

E-retailing, As a Channel of Product & Service Innovation - from manufacturers' viewpoint

  • Kang, Sang-Ku;Lee, Mi-Kyoung;Yang, Tae-Yong
    • 한국기술혁신학회:학술대회논문집
    • /
    • 한국기술혁신학회 2000년도 춘계학술대회
    • /
    • pp.301-320
    • /
    • 2000
  • This paper is concerned with characteristics of Internet retailing and manufacturer's product development strategy using Internet retailing. First, this paper reviews the current status of Internet retailing companies and explains some barriers to taking advantage of Internet retailing. Second, this paper gives a few suggestions for manufacturer's strategy for product innovation and development which is based on Internet retailing. The suggestions are (1) Product Innovation (2) Target Costing (3) Eliminate Design Mistakes.

  • PDF

A Study on Logistical System and Operational Models of Franchise Store Retailing in China

  • Li, Dong-xin;Kang, Tae-won
    • 한국프랜차이즈경영연구
    • /
    • 제3권1호
    • /
    • pp.130-143
    • /
    • 2012
  • Franchise store retailing is taking on ever greater roles in business and commerce in China. The diverse product range, small-batch order, high frequency and time-specific requirements inherent in retail logistics make it the most complicated of all categories of logistics. In franchise store retailing, expanding business scales make trans-regional development a trend. Without a well-functioning logistic system, the standardized delivery of products would be held back, impacting trans-regional development strategy and operational costs. Therefore, the efficiency of franchise store retailing largely depends on logistical efficiency. The integrated and streamlined management of franchise stores depends in large measure on their logistical centers. As such, logistical centers constitute the key link and bears on core competitiveness in franchise store retailing. This thesis begins with an analysis of the current developments and four basic logistical models of franchise store retailing in China, proceeds to summarize developmental trends as well as focal issues and proposes an efficiency enhancing plan.

An Application of Support Vector Machines to Customer Loyalty Classification of Korean Retailing Company Using R Language

  • 응위엔푸티엔;이영찬
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제26권4호
    • /
    • pp.17-37
    • /
    • 2017
  • Purpose Customer Loyalty is the most important factor of customer relationship management (CRM). Especially in retailing industry, where customers have many options of where to spend their money. Classifying loyal customers through customers' data can help retailing companies build more efficient marketing strategies and gain competitive advantages. This study aims to construct classification models of distinguishing the loyal customers within a Korean retailing company using data mining techniques with R language. Design/methodology/approach In order to classify retailing customers, we used combination of support vector machines (SVMs) and other classification algorithms of machine learning (ML) with the support of recursive feature elimination (RFE). In particular, we first clean the dataset to remove outlier and impute the missing value. Then we used a RFE framework for electing most significant predictors. Finally, we construct models with classification algorithms, tune the best parameters and compare the performances among them. Findings The results reveal that ML classification techniques can work well with CRM data in Korean retailing industry. Moreover, customer loyalty is impacted by not only unique factor such as net promoter score but also other purchase habits such as expensive goods preferring or multi-branch visiting and so on. We also prove that with retailing customer's dataset the model constructed by SVMs algorithm has given better performance than others. We expect that the models in this study can be used by other retailing companies to classify their customers, then they can focus on giving services to these potential vip group. We also hope that the results of this ML algorithm using R language could be useful to other researchers for selecting appropriate ML algorithms.

유기농식품 소매유통시장의 환경지속성경영 연구 (A Study on the Environmental Sustainable Management (ESM) in Organic Products Retailing Markets)

  • 유덕기
    • 한국유기농업학회지
    • /
    • 제18권1호
    • /
    • pp.21-40
    • /
    • 2010
  • This work is described as an fresh effort to study environmental sustainable management in organic products retailing markets. Sustainable management means creating value for business, nature and society. The main point of this thesis is about the concept, the content and the target of environmental sustainable management, and the technical method and basis to achieve it. Also this thesis shows the strategy of sustainable management as well as the realization of sustainable development by carrying out organic agricultural production. The main content of sustainable management is that: - Rationalize the utilization of resource and energy. - Maximize economic benefit. - Minimize harm to humans and the environment. Examines business strategies that have successfully targeted markets, such as advertising, labeling, gaining consumer trust, partnerships, and diversifying operations. These included management skills, and marketing organic and other sustainably grown products to determine strategies for developing new markets for these products. Suggests that consumers are becoming more aware of the importance of environmentally sound methods for growing food, the health benefits of wholesome food, and are willing to pay more for these products.

신경회로망과 (s*,S*) 정책을 이용한 대규모 유통업을 위한 재고 관리 시스템의 개발 (Development of Inventory Control System for Large-scale Retailers using Neural Network and (s*,S*) Policy)

  • 김우주
    • 한국정보시스템학회지:정보시스템연구
    • /
    • 제6권1호
    • /
    • pp.223-256
    • /
    • 1997
  • Since the business scales of retailing companies become to be very large and the number of items dealt increases explosively, automation of inventory management becomes one of the most important issues to solve in retailing industry. In order to accomplish this automation of inventory management, there must be a great need to a method which can perform real-time decision making on inventory control in an automatic fashion, while communicating with inventory information systems like POS system and automatic warehousing system. But even in this circumstance, there are also many obstructions to such automation like varying demands, limited capacity of warehouse and exhibition room, need for strategic consideration on inventory control, etc., in a real sense. Due to these reasons, it seems very difficult that most large-scaled retailing companies get fully automated inventory management system. To overcome those difficulties and reflect them into inventory control, we propose a automated inventory control methodology for retailing industry based on neural network and policy model. Especially, policy model is devised to deal with dynamic varying demands and using this model, strategic goals on inventory can be considered into inventory control mechanism. Our proposed approach is implemented in workstation and its performance is also empirically verified also against to real case of one of the major retailing firm in Korea.

  • PDF

인터넷 소매유통업의 RFM 모델 기반 충성고객관리를 위한 웹서비스(WeLCM) 프레임웍 (Web services Framework for Loyal Customer Management based on RFM Models in Internet Retailing)

  • 박광호
    • 지능정보연구
    • /
    • 제8권1호
    • /
    • pp.39-62
    • /
    • 2002
  • 소매유통업에 있어 충성고객을 발견하고 효과적으로 관리하는 일은 마케팅 부서의 주요 관심사라고 할 수 있다. 최근 성숙된 유통 채널로 자리잡고 있는 인터넷 소매유통업도 다양한 마케팅 노력을 기울이고 있으며 그 성과가 기존 소매유통업 보다 클 것으로 기대하고 있는데 이는 인터넷 소매유통업이 기본적으로 디지털 기반 구조 하에 사업이 수행되기 때문이다. 그러나, 매출 규모가 확장됨에 따라 고객 관계가 보다 복잡해지고 거래 건수도 크게 확장되고 있는 인터넷 소매유통업은 전자적으로 이용 가능한 고객 관리 서비스를 필요로 하고 있다. 본 논문은 인터넷 소매유통업의 충성고객관리를 위한 웹서비스의 프레임웍 및 적용 사례를 제시하고 있다. 고객관리 웹서비스의 기본 모델은 전통적인 RFM분석에 기반을 두고 있는데 복잡한 충성고객관리 업무를 처리하는 에이전트를 제공한다. 인터넷 쇼핑몰이나 상점의 운영 시스템과 용이하게 통합될 수 있는 웹 서비스는 적은 비용으로 효과적인 고객 관리를 실현하는데 기여할 것으로 기대된다.

  • PDF

Lessons from Haitai Distribution Inc's experience in Korea

  • Cho, Young-Sang
    • 유통과학연구
    • /
    • 제9권3호
    • /
    • pp.25-36
    • /
    • 2011
  • Owing to the rapid growth of hypermarket/discount store formats since 1996, Korean retailing has suddenly attracted the significant attention from researchers. Before the emergence of large scale retailers such as E-Mart, Lotte Mart and Tesco Korea, there were the two retail formats who led the Korean retailing in the modern retailing history: department store and supermarket formats. Nevertheless, there has been little literature concerned about the two retail formats as a case study, while some authors have paid their attention to hypermarket/discount store formats. In addition, when mentioning the development process of retailing history, it is less likely that authors have made an effort to illustrate supermarket retailing history. In order to regard supermarket retailing as part of the Korean retailing, it is interesting to look at a representative supermarket retailer, Haitai, who was one of the subsidiaries of Haitai chaebol. Based on supermarket retailing, the company which was established as a joint venture in 1974 led a supermarket retailing in the Korean modernised retailing history. Before analysing whether Haitai failed or not, the definition of failure should be illustrated. With regard to the term, failure, in the academic world, authors have interchangeably used the following terms: failure, divestment, closure, organisational restructuring, and exit. To collect research data as a case study, the author adopted an in-depth interview method. The research is based on research interviews with 13 ex-staff who left after Haitai went bankruptcy, from store management department to merchandise department. By investigating Haitai's experiences through field interviews, the research found that Haitai restructured organisational decision-making process at the early stage when companies started to modernise organisational charts, benchmarking sophisticated retailing knowledge through the strategic alliance with a Japanese retailer. In respect of buying system, the company established firmly buying functions by adopting central buying system, and further, outstandingly allocated considerable marketing resources to the development of retailer brands with the dedicated team of retailer brand development. In the grocery retailing, abandoning a 'no-frill' packaging concept, the introduction of retailer brand packaging equal to, or better than national brand packaging design, encouraged other retailers to change their retailer brand development strategies. In product sourcing ways, Haitai organised for the first time the overseas sourcing team with the aim of improving the profit margins of foreign products and providing exotic products for customers, followed by other retailers. Regarding distribution system, the company introduced the innovative idea which delivered products ordered by stores directly to each store withboth its own vehicles and its own warehouse in which could deal with dry foods, chilly foods, frozen food, and non-foods, and even, process produce. In addition, Haitai developed many promotional methods to attract more customers like 'the guarantee of the lowest price', and expanded its own business to US in 1996, although withdrew, because of bankruptcy in 1997. Together with POS introduction in 1994, Haitai made a significant contribution to the development of the Korean retailing, influencing other retailers in many aspects. As a case study, the study has provided a number of lessons from Haitai's experiences for academicians and practitioners, suggesting that its history should be involved in the Korean modernised retailing.

  • PDF

소매서비스업에서의 고객참여행동 수준에 관한 연구 (The Level of Customer Participation in Retailing Service)

  • 안진우
    • 경영과정보연구
    • /
    • 제30권3호
    • /
    • pp.191-215
    • /
    • 2011
  • 소매서비스업은 고객서비스의 제공을 통해 차별화를 시도하면서도 서비스의 생산 및 전달과정에 참여하는 고객의 행동을 관리할 필요가 있다. 소매서비스업에서 고객참여행동을 적절히 활용하기 위해서는 소매서비스업에 따른 고객참여행동의 수준을 보다 면밀히 파악하고 알아야 할 필요가 제기된다. 본 연구에서는 국내의 주요한 소매서비스업을 선별하여 고객참여행동의 수준을 파악해 보고자 한다. 4가지 소매서비스업 유형(접촉의 정도와 참여행동 수준의 정도에 따라 구분된 패밀리 레스토랑, 미용서비스, 병원서비스, 교육서비스)에 따라 고객참여행동의 하위차원 (적극성, 소통성, 교감성, 순응성)이 어떤 수준의 차이를 보이는 지를 실증적으로 확인하고자 한다. 연구의 결과, 적극성과 소통성에 있어서는 소매서비스 유형별로 유의하게 차이가 있는 것으로 나타났으나, 교감성의 경우에는 집단 간의 차이가 유의하지 않았고, 순응성의 경우에는 한계수준에서 집단 간의 차이를 확인할 수 있었다. 네 가지 소매서비스 유형중 가장 고객참여행동의 수준이 높은 소매서비스는 병원서비스이며, 다음으로 패밀리레스토랑, 교육서비스, 그리고 미용실서비스로 나타났다. 이로써, 본 연구는 소매서비스업 유형에 따라 고객참여행동의 내용과 양이 다르다는 것을 실증하였으며, 소매서비스업 유형별 고객참여행동의 수준을 확인하고 이를 고객참여행동 유도전략에 활용할 수 있는 계기를 마련하였다.

  • PDF

Assortment Optimization under Consumer Choice Behavior in Online Retailing

  • Lee, Joonkyum;Kim, Bumsoo
    • Management Science and Financial Engineering
    • /
    • 제20권2호
    • /
    • pp.27-31
    • /
    • 2014
  • This paper studies the assortment optimization problem in online retailing by using a multinomial logit model in order to take consumer choice behavior into account. We focus on two unique features of online purchase behavior: first, there exists increased amount of uncertainty (e.g., size and color of merchandize) in online shopping as customers cannot experience merchandize directly. This uncertainty is captured by the scale parameter of a Gumbel distribution; second, online shopping entails unique shopping-related disutility (e.g., waiting time for delivery and security concerns) compared to offline shopping. This disutility is controlled by the changes in the observed part of utility function in our model. The impact of changes in uncertainty and disutility on the expected profit does not exhibit obvious structure: the expected profit may increase or decrease depending on the assortment. However, by analyzing the structure of the optimal assortment based on convexity property of the profit function, we show that the cardinality of the optimal assortment decreases and the maximum expected profit increases as uncertainty or disutility decreases. Therefore, our study suggests that it is important for managers of online retailing to reduce uncertainty and disutility involved in online purchase process.

Prediction of Sales on Some Large-Scale Retailing Types in South Korea

  • Jeong, Dong-Bin
    • Asian Journal of Business Environment
    • /
    • 제7권4호
    • /
    • pp.35-41
    • /
    • 2017
  • Purpose - This paper aims to examine several time series models to predict sales of department stores and discount store markets in South Korea, while other previous trial has performed sales of convenience stores and supermarkets. In addition, optimal predicted values on the underlying model can be got and be applied to distribution industry. Research design, data, and methodology - Two retailing types, under investigation, are homogeneous and comparable in size based on 86 realizations sampled from January 2010 to February in 2017. To accomplish the purpose of this research, both ARIMA model and exponential smoothing methods are, simultaneously, utilized. Furthermore, model-fit measures may be exploited as important tools of the optimal model-building. Results - By applying Holt-Winters' additive seasonality method to sales of two large-scale retailing types, persisting increasing trend and fluctuation around the constant level with seasonal pattern, respectively, will be predicted from May in 2017 to February in 2018. Conclusions - Considering 2017-2018 forecasts for sales of two large-scale retailing types, it is important to predict future sales magnitude and to produce the useful information for reforming financial conditions and related policies, so that the impacts of any marketing or management scheme can be compared against the do-nothing scenario.