• 제목/요약/키워드: Company Organized

검색결과 102건 처리시간 0.016초

e-비즈니스가 경영성과에 미치는 영향 -홈쇼핑을 중심으로- (The Effects of e-Business on Business Performance - In the home-shopping industry -)

  • 김세중;안선숙
    • 경영과정보연구
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    • 제22권
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    • pp.137-165
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    • 2007
  • It seems high time to increase productivity by adopting e-business to overcome challenges posed by both external factors including the appreciation of Korean won, oil hikes and fierce global competition and domestic issues represented by disparities between large corporations and small and medium enterprises (SMEs), Seoul metropolitan and local cities, and export and domestic demand all of which weaken future growth engines in the Korean economy. The demands of the globalization era are for innovative changes in businessprocess and industrial structure aiming for creating new values. To this end, e-business is expected to play a core role in the sophistication of the Korean economy through new values and innovation. In order to examine business performance in e-business-adopting industries, this study analyzed the home shopping industry by closely looking into the financial ratios including the ratio of net profit to sales, the ratio of operation income to sales, the ratio of gross cost to sales cost, the ratio of gross cost to selling, general and administrative (SG&A) expense, and return of investment (ROI). This study, for best outcome, referred to corporate financial statements as a main resource to calculate financial ratios by utilizing Data Analysis, Retrieval and Transfer System (DART) of the Financial Supervisory Service, one of the Korea's financial supervisory authorities. First of all, the result of the trend analysis on the ratio of net profit to sales is as following. CJ Home Shopping has registered a remarkable increase in its ratio of net profit rate to sales since 2002 while its competitors find it hard to catch up with CJ's stunning performances. This is partly due to the efficient management compared to CJ's value of capital. Such significance, if the current trend continues, will make the front-runner assume the largest market share. On the other hand, GS Home Shopping, despite its best organized system and largest value of capital among others, lacks efficiency in management. Second of all, the result of the trend analysis on the ratio of operation income to sales is as following. Both CJ Home Shopping and GS Home Shopping have, until 2004, recorded similar growth trend. However, while CJ Home Shopping's operating income continued to increase in 2005, GS Home Shopping observed its operating income declining which resulted in the increasing income gap with CJ Home Shopping. While CJ Home Shopping with the largest market share in home shopping industryis engaged in aggressive marketing, GS Home Shopping due to its stability-driven management strategies falls behind CJ again in the ratio of operation income to sales in spite of its favorable management environment including its large capital. Companies in the Group B were established in the same year of 2001. NS Home Shopping was the first in the Group B to shift its loss to profit. Woori Home Shopping has continued to post operating loss for three consecutive years and finally was sold to Lotte Group in 2007, but since then, has registered a continuing increase in net income on sales. Third of all, the result of the trend analysis on the ratio of gross cost to sales cost is as following. Since home shopping falls into sales business, its cost of sales is much lower than that of other types of business such as manufacturing industry. Since 2002 in gross costs including cost of sales, SG&A expense, and non-operating expense, cost of sales turned out to have remarkably decreased. Group B has also posted a notable decline in the same sector since 2002. Fourth of all, the result of the trend analysis on the ratio of gross cost to SG&A expense is as following. Due to its unique characteristics, the home shopping industry usually posts ahigh ratio of SG&A expense. However, more than 80% of SG&A expense means the result of lax management and at the same time, a sharp lower net income on sales than other industries. Last but not least, the result of the trend analysis on ROI is as following. As for CJ Home Shopping, the curve of ROI looks similar to that of its investment on fixed assets. As it turned out, the company's ratio of fixed assets to operating income skyrocketed in 2004 and 2005. As far as GS Home Shopping is concerned, its fixed assets are not as much as that of CJ Home Shopping. Consequently, competition in the home shopping industry, at the moment, is among CJ, GS, Hyundai, NS and Woori Home Shoppings, and all of them need to more thoroughly manage their costs. In order for the late-comers of Group B and other home shopping companies to advance further, the current lax management should be reformed particularly on their SG&A expense sector. Provided that the total sales volume in the Internet shopping sector is projected to grow over 20 trillion won by the year 2010, it is concluded that all the participants in the home shopping industry should put strategies on efficient management on costs and expenses as their top priority rather than increase revenues, if they hope to grow even further after 2007.

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쇼핑 웹사이트 탐색 유형과 방문 패턴 분석 (Analysis of shopping website visit types and shopping pattern)

  • 최경빈;남기환
    • 지능정보연구
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    • 제25권1호
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    • pp.85-107
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    • 2019
  • 온라인 소비자는 쇼핑 웹사이트에서 특정 제품군이나 브랜드에 속한 제품들을 둘러보고 구매를 진행할 수 있고, 혹은 단순히 넓은 범위의 탐색 반경을 보이며 여러 페이지들을 돌아보다 구매를 진행하지 않고 이탈할 수 있다. 이러한 온라인 소비자의 행동과 구매에 관련된 연구는 꾸준히 진행되어왔으며, 실무에서도 소비자들의 행동 데이터를 바탕으로 한 서비스 및 어플리케이션이 개발되고 있다. 최근에는 빅데이터 기술의 발달로 소비자 개인 단위의 맞춤화 전략 및 추천 시스템이 활용되고 있으며 사용자의 쇼핑 경험을 최적화하기 위한 시도가 진행되고 있다. 하지만 이와 같은 시도에도 온라인 소비자가 실제로 웹사이트를 방문해 제품 구매 단계까지 전환될 확률은 매우 낮은 실정이다. 이는 온라인 소비자들이 단지 제품 구매를 위해 웹사이트를 방문하는 것이 아니라 그들의 쇼핑 동기 및 목적에 따라 웹사이트를 다르게 활용하고 탐색하기 때문이다. 따라서 단지 구매가 진행되는 방문 외에도 다양한 방문 형태를 분석하는 것은 온라인 소비자들의 행동을 이해하는데 중요하다고 할 수 있다. 이러한 관점에서 본 연구에서는 온라인 소비자의 탐색 행동의 다양성과 복잡성을 설명하기 위해 실제 E-commerce 기업의 클릭스트림 데이터를 기반으로 세션 단위의 클러스터링 분석을 진행해 탐색 행동을 유형화하였다. 이를 통해 각 유형별로 상세 단위의 탐색 행동과 구매 여부가 차이가 있음을 확인하였다. 또한 소비자 개인이 여러 방문에 걸친 일련의 탐색 유형에 대한 패턴을 분석하기 위해 순차 패턴 마이닝 기법을 활용하였으며, 같은 기간 내에 제품 구매까지 완료한 소비자와 구매를 진행하지 않은 채 방문만 진행한 소비자들의 탐색패턴에 대한 차이를 확인할 수 있었다. 본 연구의 시사점은 대규모의 클릭스트림 데이터를 활용해 온라인 소비자의 탐색 유형을 분석하고 이에 대한 패턴을 분석해 구매 과정 상의 행동을 데이터 기반으로 설명하였다는 점에 있다. 또한 온라인 소매 기업은 다양한 형태의 탐색 유형에 맞는 마케팅 전략 및 추천을 통해 구매 전환 개선을 시도할 수 있으며, 소비자의 탐색 패턴의 변화를 통해 전략의 효과를 평가할 수 있을 것이다.