• Title/Summary/Keyword: Retailing Management

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

  • Kang, Sang-Ku;Lee, Mi-Kyoung;Yang, Tae-Yong
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2000.05a
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    • pp.301-320
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    • 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.

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

  • Li, Dong-xin;Kang, Tae-won
    • The Korean Journal of Franchise Management
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    • v.3 no.1
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    • pp.130-143
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    • 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

  • Nguyen, Phu-Thien;Lee, Young-Chan
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.17-37
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    • 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.

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

  • Yoo, Duck-Ki
    • Korean Journal of Organic Agriculture
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    • v.18 no.1
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    • pp.21-40
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    • 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.

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

  • 김우주
    • The Journal of Information Systems
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    • v.6 no.1
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    • pp.223-256
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    • 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.

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

  • 박광호
    • Journal of Intelligence and Information Systems
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    • v.8 no.1
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    • pp.39-62
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    • 2002
  • In retail industry, it has been a major focus of marketing to identify and manage loyal customers effectively. Being established as a mature distribution channel, Internet retailing has launched various one-to-one marketing efforts and enjoyed much more fruitful outcome because it is founded on digitally enabled infrastructure. As more complicated and crowded transactions are expected, Internet retailing is in need of electronically available customer management services. This research presents architectural design of Web services for loyal customer management in Internet retailing. The fundamental models of the services are based on traditional RFM analysis. The Web services provide various agents that automate complicated loyal customer management tasks. beadily available Web services are expected to easily integrate into existing applications of any electronic retailers.

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Lessons from Haitai Distribution Inc's experience in Korea

  • Cho, Young-Sang
    • Journal of Distribution Science
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    • v.9 no.3
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    • pp.25-36
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    • 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.

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

  • Ahn, Jin-Woo
    • Management & Information Systems Review
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    • v.30 no.3
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    • pp.191-215
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    • 2011
  • Retailing service companies need to manage customer's behavior participating in service production and delivery process, while trying to differentiate from competitors with customer services. They also need to know the level of customer participation to make good use of customer participation in retailing service delivery process. Therefore, this paper expects to show the level of customer participation in domestic primary retailing service types. In details, this paper empirically identifies how different the level of customer participation is in four retailing service types-family restaurant, hair service, hospital service, educational service. As results, activity effort, communication effort, and compliance effort variables of customer participation were significantly in different level. But, sympathy effort variable of customer participation was not identified on the level of difference in four retailing service types. Additionally, hospital service showed the highest level of customer participation in four retailing service types, then family restaurant, education service, and hair service were in order. Judging these results, this paper suggests that the level of customer participation according to retailing service types would be different empirically. Also, this paper provides the opportunities to make properly good use of customer participation suitable to individual retailing type.

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Assortment Optimization under Consumer Choice Behavior in Online Retailing

  • Lee, Joonkyum;Kim, Bumsoo
    • Management Science and Financial Engineering
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    • v.20 no.2
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    • pp.27-31
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    • 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
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    • v.7 no.4
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    • pp.35-41
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    • 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.