• Journal of Distribution Science
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• v.12 no.8
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• pp.5-15
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• 2014

Purpose - The method of TV home shopping is a kind of retail method that provides the viewer with information about products and, further, sells the products to consumers through the media of television. The domestic home-shopping industry has been expanding since 1995, and there are six companies in this arena as of 2012. In this study, we evaluate the management efficiency of TV home-shopping companies and provide suggestions for improving efficiency, using the DEA (data envelopment analysis) model. Hence, we expect to contribute to the progress of the companies' efficiency and the development of the TV home-shopping industry, where deepening competition is inevitable because it is experiencing the maturing market stage in its life cycle. Research design, data, and methodology - Efficiency is the ratio of the quantity of input to the quantity of output of a product or service. It is necessary to estimate aggregate inputs and aggregate outputs, which are calculated by applying a weighting to a number of input and output factors, to measure the efficiency. The DEA model is divided into the CCR model and the BCC model. The CCR model is a basic model that assumed constant returns to scale (CRS), and the BCC model extends the CCR model to accommodate technologies exhibiting variable returns to scale (VRS), and concerns only the technical efficiency without considering the efficiency of returns to scale. In this study, we consider six companies each year from 2008 to 2012 as a DMU (Decision Making Unit) and analyze the differences in efficiency for each company in each year. Furthermore, we evaluate the operating characteristics of TV home-shopping companies, using three models, in accordance with the overall performance, profitability, and marketability of the business. Results - The result of the analysis, using DEA models, shows that Hyundai Home Shopping (2009, 2010, 2011), GS Home Shopping (2011), NS Home Shopping (2011) and CJ O Shopping (2012) possess MPSS (most productive scale size), with a score 1.0 in CCR, BCC, and scale efficiency. Particularly, Hyundai Home Shopping is shown to be the most efficient in terms of overall business performance, marketability, and profitability. The overall efficiency of the home shopping industry has displayed an increasing trend since 2008, even though it decreased marginally in 2012; further, we can observe that home shopping companies operate with increasing efficiency with the passage of time. Conclusions - Home shopping companies have focused on market expansion rather than profits, as they displayed better efficiency in marketability than increase in profitability during the period 2008-2012. In addition, the main reason for the increased efficiency in the home shopping industry is the market expansion through the revenue increase of each home shopping company. This study can be used as a reference when home shopping companies attempt to devise future strategies, as it suggests efficiency benchmarks and development levels for each home shopping company.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.2
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• pp.63-71
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• 2018

The purpose of this study is to establish a relationship between TV home shopping model and the marketing data of the TV home shopping industry. Differences in relationship marketing factors, trust, and intent to reuse depending on the experience of the model have resulted in a higher assessment of both the expertise and service factors of fashion stylists than groups with 10 years or less experience. In addition, model groups with 15 or more broadcasts in one month rated the professionalism, communication, ties, trust, and intent to reuse fashion stabilists more than 15 model groups. The difference in marketing factors, services, communications and ties between the professional and use of home shopping models was found to be 40 years old as compared to those in their 20s and 30s. Finally, in terms of the gender of the home shopping model, the difference between the marketing factors and the reliability of the relationship and the intent to reuse, the professional, communication and bonding, trust, and re-purpose factors were all rated higher by the female group than the male group. The results of the study suggest that a relationship marketing strategy needs to be established between a fashion stylist and a TV home shopping model, and fashion stylists should be judged based on the characteristics of a TV home shopping model.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.61-79
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• 2016

Recently, digital broadcasting service is growing as a TV-based commerce market spread. However, in previous studies, many researchers studied TV home shopping and T-Commerce separately each other, and there is little research on the attribute to increase the satisfaction of consumers. In this study, we analyzed the attribute to increase satisfaction of consumer using TV-based commerce, and we propose to the direction to move forward. We selected characteristics of TV home shopping and T-Commerce through previous studies, and analyzed satisfaction of customers with quality attributes of TV-based commerce using KANO model and ASC(Average Satisfaction Coefficient).

• Journal of Distribution Research
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• v.1 no.1
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• pp.223-237
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• 1996

The emergence of the cable television era has spawned the introduction of many new television programming formats such as all-news channels, movie channels, channels catering to cultural events, channels for women, and many others. One of the new programming formats that is expected to have interesting implications for marketing is the home shopping channel. As we have observed in other countries, this new form of distribution may potentially have a major impact on the traditional retail industry. This paper presents a model of home shopping channel viewing behavior. This model is then used to formulate optimal product presentation strategies that may aid managers in the design of home shopping programs. Specifically, by formulating a profit-maximization problem based on tile model, we derive the optimal length of product presentations and explore its properperties through simulating various situations. The discussion of these properties provide insights about making strategic decisions regarding product presentations.

• Journal of Distribution Research
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• v.12 no.4
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• pp.27-47
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• 2007

Using survey data and the Heckit model that adequately controls the sample selection bias, we analyze shoppers expenditure through two major emerging shopping channels: Internet shopping and TV home shopping channels. Age, Internet experience, daily Internet usage, the number of computers are factors that affect the ratio of consumers' expenditure through Internet shopping relative to the expenditure through TV home shopping. Shopping frequency which represents the shoppers' incentives to reduce transaction costs also has a positive effect on the proportion of shoppers' expenditure through the Internet shopping. Shoppers' perceptions of convenience, reliability, speed, and diversity are also shown to affect shoppers' relative expenditure ratio through Internet shopping. In contrast, shoppers' perception of prices does not seem to affect their purchasing behavior.

• Journal of Distribution Science
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• v.7 no.2
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• pp.29-44
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• 2009

The aim of this study was to theoretically examine the current status of TV home shopping business entities' expansion of business structure, and then look into TV home shopping business entities' preparation for the future business in their mature period. For this, the investigator examined literature home and abroad and then empirically carried out an experimental sale of household goods by selecting a model TV home shopping business entity. In order to understand current business structure of TV home shopping and increase sales, the investigator has changed price and then induced sales, focusing on the price of household goods. Study findings are as follows: As for the influence of TV home shopping household goods' price upon its sales, because TV home shopping business entities set in advance an efficiency unit-price per broadcast hour and carry out a sales strategy of reaching out the efficiency, they try to keep their sales with discounted price in the real sales setting of TV home shopping. But it is not an exclusive practice. General promotion became a common practice. The price of goods is the same with its life. Continuous discount events lower the reliability of goods and its supplier must bear the result. Overall sales after experiment increases by 13% and the sales efficiency also increases by 9%. Sales amount increases by 9% and a stable sales which is above average is achieved. The number of sales goods keeps 100%.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.141-144
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• 2008

According to the degree how the information communication, technology and various basic given conditions are working, most of all enterprises in 21 century are running utilizing information technology. Mongolia is also driving forward for the 2010 year goal and the information technological environment is fast developing in Mongolia. By the tendency of fast moving development of information and technological change will make a road to be possible implementing the Home-Shopping in Mongolia. To meet the changeable tendency and countermeasures of Mongolian environment, e-Business policies are necessary. In this paper I like to point out why the Mongolian enterprises should have keen interest on e-Business and on the ground of the necessity on it. I like to suggest some models for Mongolia.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.869-874
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• 2004

Digital TV broadcasting's resolution or tone quality is very excellent than analog broadcasting and has many advantages including various multimedia functions such as home shopping, home banking, internet search, telecommuting, VOD, etc. In this study, it is essential to analyze the regional electromagnetic environment before Digital TV broadcasting, and therefore we analyzed Busan area's limitation using ETRI propagation model. For maintaining high-quality Digital TV signals, we measure electric field intensity wide and far in Busan including mountains area and high-rise buildings. Generally, it has lower value by a standard ETRI propagation model than simulated value about standard model, but distribution pattern are similar with it. Compared theoretical values with the measured results, they have similar values for flat area but very different values for crowded city area and mountains area So we conclude that ETRI propagation model and theoretical model are not suitable for Busan in a free space.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.49-54
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• 2021

The purpose of this study is to identify trends in T commerce and further propose ways to improve customer data-based services and development models for changes in broadcasting screens with the expansion of IPTV subscribers. Implementing a customized shopping model like mobile through TV media and improving customer satisfaction will reduce customer departures and provide a more convenient shopping environment through large screens. We would like to learn about the current status and problems of T commerce broadcasting and explain some technically validated models (channel-in-channel, AI speaker) and talk about improvement of legal (broadcasting and Internet multimedia business law) constraints.

• Asia Marketing Journal
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• v.7 no.1
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• pp.21-42
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• 2005

Customer Relationship Management (CRM) is a corporate marketing strategy maintaining and managing customers. And with CRM companies maximize the customer's value through a series of processes of new customer retention, VIP customer retention, customer value increase, potential customer activation, and customers for lifetime by collecting the customer information and taking advantage of it effectively. In particular, as the competitive environment is changing rapidly and getting more intense, maintaining the customer retention through customer churn management becomes more important in order to increase the customer value for maximizing the company's profit and to build up the relationship with customers. For example, the financial industry has managed the customer churn with the concept of customer segmentation. Recently the customer retention and churn management is becoming increasingly important in all business fields as well as financial industry since the companies expect the effect of preventing the customer churn by identifying characteristics of customers. However, despite the increasing interest and importance of the management of the customer churn, not many of studies are systematically executed by analyzing the data of customer churn. In this study we analyze the actual data of CRM activities for the customer retention, specifically the data of TV home-shopping. By doing so, we hope to identify the differences of demographic attributes and transaction specific characteristics in consumer behaviors between the churning customer and the retained customers. In addition, we try to find out the variables which can impact the churning of the customers and to predict the churn rate of individual customer through our proposed model of customer churn. In the end, based on our findings we suggest the possible marketing strategies for TV home-shopping companies.