• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.289-303
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• 2004

As needs for telecommunications services diversify, an increasingly wide range of telecommunications services is becoming available in the market. Any subscriber can find a service to satisfy his/her telecommunication requirements and competition between providers to retain heavy users is increasing. Service price reductions are one retention strategy, although price reductions for one service can affect the individual-level usage for other services. Price reductions can also be imposed on a service provider by regulation. For these reasons, understanding how price reductions affect service usage is of growing importance to the telecommunications industry for purposes of pricing and tariff development. In this paper, we develop an individual-level usage model for telecommunications services and analyze the effects on usage of a price reduction. We apply the model to age-stratified aggregate traffic data for a Korean mobile telecommunication service provider. Finally, we develop a model to support a market segmentation and price reduction strategy.

• 아태비즈니스연구
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• 제6권1호
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• pp.1-15
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• 2015

In our study, we tried to develop and test a model that aids further understanding of the sources of customer loyalty in the 3G telecommunications service. In addition, as the 3G could be understood as an innovative telecommunications service, we assume that the impact of factors related service attributes affecting customer loyalty is moderated by the customer's innovativeness. We analyzed our research model using 3G service users' data in Korea. Our results will have significant strategic implications for firms in this highly competitive industry. Particularly, it can be useful for mobile carriers interested in customer retention management and supposed to deliver a new telecommunications service like the 4G service that is on the horizon.

• 유통과학연구
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• 제21권10호
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• pp.11-19
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• 2023

Purpose: Personality qualities are essential to the prosperity of any contemporary company because they foster the growth of pleasant emotions in telecommunications distribution employees. Research design, data and methodology: Thus improving their overall psychological well-being and productivity. Talent retention is facilitated by mutual respect between management and staff. The success of the company as a whole, including the development and maintenance of emotions with customers, also depends on the psychological well-being of employees. The aim is to demonstrate how a positive and satisfied emotional workforce contributes to psychological well-being in the 21st century. Result: The research aims to better understand the personality traits that influence the psychological well-being of employees. In addition, between January and March 2023, a total of 179 employees in the telecommunications distribution industry in the Peruvian city of Chiclayo were surveyed using structural modelling methods to measure employee satisfaction. It also shows how various ideas, approaches and models can be used in the real world. Conclusion: The significance of the model on the perception of telecommunications workers in Peru is demonstrated by the results, which indicate an R² value of 0.681 for positive emotions and an R² value of 0.792 for employees' psychological well-being.

• 한국정보과학회논문지:데이타베이스
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• 제36권3호
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• pp.169-179
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• 2009

통신 기록 데이타는 이메일이나 인스턴스 메시지를 주고 받거나, 웹사이트에 접속하는 것과 같은 통신 이벤트들로 구성된다. 미국과 유럽연합을 포함한 여러 나라에서는 인터넷을 사용한 범죄의 조사와 발견을 위해서 통신 서비스 제공자에게 이런 데이타를 보관하도록 규정하고 있다. 보관되는 통신 기록 데이타의 크기가 매우 크기 때문에 치안당국이 이 데이타를 사용하기 위해서는 필요한 정보만을 효과적으로 추출해내는 방법이 필요하다. 본 논문에서는 발신자, 수신자, 통신발생시각의 세 가지 정보만 포함하는 통신 이벤트가 주어질 때, 의미 있는 정보 중 하나인 대화형 통신 순서열 패턴과 이러한 패턴의 마이닝 문제를 정의하고 것을 해결하기 위해 Fast Discovering Interactive Communication Sequence Patterns (FDICSP)라 불리는 알고리즘을 제안한다. FDICSP는 길이가 짧은 대화형 통신 순서열을 조합하여 길이가 긴 대화형 통신 순서열을 생성 해나가는데, 대화형 통신 순서열의 특성에 초점을 맞춘 작업을 통해 효율적으로 대화형 통신 순서열 패턴을 찾는다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.306-311
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• 2002

This paper propose a personalized defection detection and prevention procedure based on the observation that potential defectors have tendency to take a couple of months or weeks. For this purpose, possible states of customer behavior are determined from past behavior data using SOM (Self-Organizing Map). For the evaluation of the proposed procedure, a case study has been conducted for a Korean online game site. The result demonstestes that the proposed procedure can assist defection prevention effectively and detect potential defectors without deterioration of prediction accuracy comparison to prediction by MLP. Our procedure can be applied to various service industries that can capture fluent customer behavior data such as telecommunications, internet access services, and content services, too.