• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.2
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• pp.29-36
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• 2004

As Lately movie industry and related market becomes larger and people have had more spare time, people's interest in multiplex grows higher, This paper studies relationships between physical service environment and customer's satisfaction in multiplex. The number of subjects in this study is 346 persons stayed at four multiplexes, among which we obtained valid responses from 326 persons through questionnaire investigation. We held hypotheses for the relationships, and for the testing, used methods are Spearman's correlation, Mann-Whitney test, etc, and for statistical analysis, SPSS 10.1 software was used. Thus, we found statistically significant results, that is, the relation between physical service environment and customer's satisfaction is positive: the higher evaluation about physical service environment is, the more customer's universal satisfaction is. Information about the significant relation's intensity of many indicators in physical service environment, which is given in this paper, can be used for attaining higher customer satisfaction and spreading more effective management activities in multiplex.

• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.543-555
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• 2011

In recent years, Social Network Service (SNS) have increasingly gained popularity and have simplified and amplified social interaction between online users. This paper mainly discusses the user satisfaction and intention of continuous use. Based on the literature review, two hypotheses were developed and research model is built for testing. Data was collected through questionnaire survey from 260 SNS college student user. The empirical results shows a significant mediating effect for user satisfaction in the relationship between SNS' quality factors and intention to continued use.

• Journal of the Korean Statistical Society
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• v.22 no.1
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• pp.71-81
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• 1993

Among k independent normal populations with unknown means and a common unknown variance, the problem of detecting the population with the largest absolute value of mean is considered. This problem is formulated in a manner close to the framework of testing hypotheses, and the maximum error probability and the minimum power are considered. The power charts necessary to determine the sample size are provided. The problem of detecting the population with the smallest absolute value of mean is also considered.

• Korean System Dynamics Review
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• v.1 no.1
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• pp.57-79
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• 2000

Most model constructs in organization studies are descriptive in nature, and the conclusions relating to the model behavior over time are speculative. The usefulness of System Dynamics as a methodology for modeling and testing dynamic behavioral hypotheses in organizational behavioral studies is presented, and how to construct a System Dynamics model using simulation software(VENSIM) is shown, The well-know March and Simon motivation model is used to demonstrate the step by step application of System Dynamics to model of this type. The dynamic behavior of the model, both transient and steady state, is obtained, Even though the paper has focused on one model in the area of individual behavior, the approach is general and can be applied to other areas of organizational behavior as will. The usefulness of System Dynamics as a methodology for theory building is identified as well.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.3
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• pp.721-730
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• 1996

In this paper, a new test criterion for binary decision problems is proposed. The integrated power flunction over a parameter interval is first itroduced as an extension of the power function. The concept of the most integrated powerful (MIP) test based on the integrated power function is then introduced. The MIP criterion is to masimize the value of the integrated power function in any paricular parameter interval. As an applicationof the MIP test, the known signal detection problem is considered. The test statistic of the MIP detector for known signals is obtained and an approximation to the MIP test statistic is also considered.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.21
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• pp.127-132
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• 1990

Industrial accidents and the resulting worker injuries have adverse effect on industry. From a financial perspective, these effects are realized in large sums of money, perhaps 1.5 billions of wons which are spent last year. In the past. industry in general was not aware of the high costs incurred through injuries to workers. However, this trend has changed in recent years. This paper shows that middle managers have a critical job with respect to safety in workers. The safer middle managers have better resulting than unsafe ones. This is because the workers are more efficient and productive when acting safely. Consequently, this study was primarily an attempt to identify the relationship among middle manager behavior, job site policies, and interpersonal relationships on the job as the affect work safety and performance. More specifically this study focused on the investigation of the research questions by testing the hypotheses.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.19-24
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• 2009

We propose some properties for fuzzy binomial proportion test by agreement index. First we define fuzzy probability space and fuzzy type I error and type II error for the fuzzy probability of the two type errors. Also, we show that a fuzzy power function of performance for a fuzzy hypothesis test and drawing conclusions from the test.

• The Journal of Information Systems
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• v.15 no.4
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• pp.189-209
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• 2006

The progress of mobile internet technologies has changed user access to information. The mobile internet allows to obtain contents and services from wireless networks via mobile devices. The purpose of this study is th find out important factors that influence on the customer purchase intention by mobile internet environment. Base on TAM(Technology Acceptance Model) and the latest literature, a comprehensive set of constructs and hypotheses were compiled with a methodology for testing them. We suggested five factors that effect purchase intention in mobile internet environment: Enjoyment Ease of use, Usefulness, Mobility, Trust To validate the research model, we collected data from cellular phone user using an online survey. The results of this study are as follows. First enjoyment ease of un, usefulness, and mobility had positive effects on trust. Second, Usefulness, ease of use, and trust had positive effects on purchase intention to use mobile internet. Third, enjoyment and mobility did not have positive effects on purchase intention to use mobile internet. Based on these results, we suggest marketing strategies.

• Journal of the Korean Graphic Arts Communication Society
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• v.30 no.2
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• pp.47-58
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• 2012

The purpose of this study is to provide how various elements of package design affect on consumer response. Those consumers who is living at Sung-nam district and who is using or have used herbal shampoo were selected as respondents for this research. For testing hypotheses. frequency analysis, reliability analysis, and multi regression analysis were utilized with SPSS 12. All elements of package design influenced on brand attitude and purchasing intention. Typography is the most effective element influencing on brand attitude, while illustration is on purchasing intention. This result could be a useful reference for package designer and brand manager to trigger positive brand attitude and purchasing intention.

• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.69-76
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• 1996

In a two-way contingency table, the analyst is most interested in the hypotheses of either homogeneity or independence. For testing this as a null hypothesis, Pearson's ${\chi}^2$ statistic is most commonly used in practice. Once the null Hypothesis is rejected, he will further search forcells which caused the rejection of the null hypothesis. For this purpose, so called cell${\chi}^2$ components are used. In this paper, we derive the influence function of an obsevation to the ${\chi}^2$ statistic, with which cells with high influence can be identified.