• Asia Marketing Journal
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• 제12권2호
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• pp.135-154
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• 2010

이 연구는 교체비용이 존재하는 상황에서 복점기업간 경쟁을 다룬다. 분석에서는 일시적 가격할인 현상이 순수전략균형(Pure Strategy Equilibrium)의 결과일 수 있음을 보인다. 이는 기존 대다수 연구들에서 일시적 가격할인 현상을 혼합전략균형(Mixed Strategy Equilibrium)의 결과로 해석해왔던 것과 구별된다. 본 연구에서 구해진 일시적 가격할인의 순수전략균형 하에서 기업들은 정규가격만을 제공하는 경우보다 높은 이윤을 얻게 되며, 이러한 현상은 일시적 가격할인이 충성가입자와 비충성 가입자간 가격차별의 역할을 수행하는 것에 기인한다. 한편 본 연구에서는 기업들이 정규가격과 할인가격을 적절히 조정함으로써 충성가입자들의 수를 통제할 수 있음을 가정하고 있다. 이를 통해 기업들은 정규가격 수준을 일정 수준 이상으로 유지함으로써 충성가입자들의 수를 지나치게 늘리지 않으려는 유인이 있음을 보인다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1168-1188
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• 2018

Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques.The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.

• 근관절건강학회지
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• 제30권2호
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• pp.83-92
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• 2023

Purpose: This study aims to compare and analyze the changes in the physical and mental health status of middle-aged women before and after menopause and their quality of life over the past 10 years. Methods: A descriptive study was conducted by using secondary data from the 4th and 7th Korea National Health and Nutrition Examination Survey (KNHANES) involving middle-aged women in menopause (N=8,363). Data were analyzed using the complex sample x² test. Results: Compared to 10 years ago, notable changes were observed in general characteristics. These included increase in age, education level, economic activity, and urban residency. In addition, there was an increase in alcohol consumption, a decrease in smoking, and a decline in regular exercise. The study also observed changes in obesity rates and an increase in dyslipidemia and stress levels, along with positive changes across all aspects of quality of life. Conclusion: The results indicate temporal changes in general characteristics, major physical and mental health factors, and the quality of life of middle-aged women in menopause. Thus, it is essential to consider these changes when designing health interventions such as health promotions and education initiatives for middle-aged women experiencing menopause. Further research is necessary for identifying factors influencing the quality of life of middle-aged women in menopause.