• Title/Summary/Keyword: Marketing Mix Variables

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Study on the Effect of Product Line Pricing on Loading Efficiency and Logistics Cost (상품라인별 가격결정이 적재효율 및 물류비에 미치는 영향에 관한 연구)

  • Jung, Sung-Tae;Yoon, Nam-Soo;Han, Kyu-Chul
    • Journal of Distribution Science
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    • v.12 no.8
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    • pp.55-69
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    • 2014
  • Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in

    , loading efficiency improved to 89.9%. Further, from calculating logistics cost based on the cost calculation standard of manufacturer A, the amount of annual logistics cost reduction amounted to 101,458,084 KRW. Given that the sum of the logistics cost of the product group B of manufacturing enterprises A is 400,340,850 KRW, it can be reduced by 25%, to 298,882,766 KRW. Although many methods improve loading efficiency, this study proved that logistics cost could be reduced by changing the number of bags within boxes. If this measure is applied to other items, visible logistics cost reduction effects will be realized through improvements in loading efficiency. Conclusions - Future pricing policies should consider their correlation with quality, loading efficiency, product specifications, and logistics standardization to prevent logistics waste, enabling management to improve earnings for companies. Thus, when companies decide pricing policies for new products, the aspects of merchandising and marketing should take priority; however, the aspect of logistics also needs to be considered as significant. Measures revealed by the study results are not only the responsibilities of manufacturing enterprises. Pricing policy agreements between manufacturing enterprises and distribution companies, and logistics factors related to price determination should be considered; further, governments should also support them for their collaborations. This will enable consumers to purchase quality products with low prices.

  • A Study on the Priority of RoboAdvisor Selection Factors: From the Perspective of Analyzing Differences between Users and Providers Using AHP (로보어드바이저 선정요인의 우선순위에 관한 연구: AHP를 이용한 사용자와 제공자의 차이분석 관점으로)

    • Young Woong Woo;Jae In Oh;Yun Hi Chang
      • Information Systems Review
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      • v.25 no.2
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      • pp.145-162
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      • 2023
    • Asset management is a complex and difficult field that requires insight into numerous variables and even human psychology. Thus, it has traditionally been the domain of professionals, and these services have been expensive to obtain. Changes are taking place in these markets, and the driving force is the digital revolution, so-called the fourth industrial revolution. Among them, the Robo-Advisor service using artificial intelligence technology is the highlight. The reason is that it is possible to popularize investment advisory services with convenient accessibility and low cost. This study aims to clarify what factors are critically important when selecting robo-advisors for service users and providers in Korea, and what perception differences exist in the selection factors between user and provider groups. The framework of the study was based on the marketing mix 4C model, and the design and analysis of the model used Delphi survey and AHP. Through the study design, 4 main criteria and 15 sub-criteria were derived, and the findings of the study are as follows. First, the importance of the four main criteria was in the order of customer needs > customer convenience > customer cost > customer communication for both groups. Second, looking at the 15 sub-criteria, it was found that investment purpose coverage, investment propensity coverage, fee level and accessibility factors were the most important. Third, when comparing between groups, the user group found that the fee level and accessibility factors were the most important, and the provider group recognized the investment purpose coverage and investment propensity coverage factors as important. This study derived useful implications in practice. First, when designing for the spread of the robo-advisor service, the basis for constructing a user-oriented system was prepared by considering the priority of importance according to the weight difference between the four main criteria and the 15 sub-criteria. In addition, the difference in priority of each sub-criteria shown in the group comparison and the cause of the sub-criteria with large weight differences were identified. In addition, it was suggested that it is very important to form a consensus to resolve the difference in perception of factors between those in charge of strategy and marketing and system development within the provider group. Academically, it is meaningful in that it is an early study that presented various perspectives and perspectives by deriving a number of robo-advisor selection factors. Through the findings of this study, it is expected that a successful user-oriented robo-advisor system can be built and spread in Korea to help users.


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