Statistical Modeling of Learning Curves with Binary Response Data

이슬지,; Park, Man Sik

doi:10.5351/ckss.2012.19.3.433

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…고객 불만 최소화 프로세스는 반복적인 지식, 경험, 기술이 축적되면서 작업 효율성이 향상되었으며 , 경험 에 의해 투자하는 시간 등은 작업을 반복함으로써 줄 일 수 있다 [16] . 즉, 기업의 경험, 기술 등으로 소요되는 전체적인 비용들은 경험이 축적됨에 따라서 고객 불 만을 줄일 수 있다 [21] .…”

Section: 기업으로 유입된 고객 불만은 다양한 부서로 보내 져 시스템화 하고 개선활동 등을 통해 새로운 경영시 스템에 unclassified

A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services

Jung¹,

Cheon

2014

The Journal of Korea Information and Communications Society

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This study is to estimate the learning curve based on the consequences of reduced voice of customer from each telecommunication service products. We used Exponential Decay Model, which is the most popular among the learning curve models. We attempted to add how VOC changes in accordance with seasonal factors, human resource input, application of software, and the investment. The results of the empirical analysis of each service product as follows: First, as learning curve, customer complaints decreased. Second, human resource input, Network fault make increase or decrease customer complaints(VOC). Third, even though increasing the customer's quality of experience, VOC would not decrease due to service paradox. . .력성을 나타낼 수 있다 [17] .그림 2와 .

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Section: 기업으로 유입된 고객 불만은 다양한 부서로 보내 져 시스템화 하고 개선활동 등을 통해 새로운 경영시 스템에 unclassified

A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services

Jung¹,

Cheon

2014

The Journal of Korea Information and Communications Society

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Modeling of The Learning-Curve Effects on Count Responses

Choi¹,

Park

2014

Korean Journal of Applied Statistics

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As a certain job is repeatedly done by a worker, the outcome comparative to the effort to complete the job gets more remarkable. The outcome may be the time required and fraction defective. This phenomenon is referred to a learning-curve effect. We focus on the parametric modeling of the learning-curve effects on count data using a logistic cumulative distribution function and some probability mass functions such as a Poisson and negative binomial. We conduct various simulation scenarios to clarify the characteristics of the proposed model. We also consider a real application to compare the two discrete-type distribution functions.

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Statistical Modeling of Learning Curves with Binary Response Data

Cited by 2 publications

References 18 publications

A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services

A Study on the Learning Curve and VOC Factors Affecting of Telecommunication Services

Modeling of The Learning-Curve Effects on Count Responses

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