• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.11
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• pp.1322-1332
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• 2011

This study investigates the influence of social desirability to questionnaire response and data analysis in order to identify the need for social desirability control in clothing consumer research. A questionnaire measuring social desirability, social face sensitivity, clothing shopping behavior, and demographic characteristics was developed. Responses of 234 respondents were analyzed using factor analysis, simple regression analysis, hierarchical regression analysis, descriptive analysis, and Cronbach's alpha analysis. The results were as follow. First, respondents were influenced by social desirability when they responded to items measuring other-conscious social face. Second, the result of regression analysis (that the independent variable was social formality) was less influenced by social desirability control because the influence of social desirability to social formality was insignificant. Conversely, the result of regression analysis (that the independent variable was other-conscious social face) was more influenced by social desirability control because the influence of social desirability to other-conscious social face was significant. This study is an initial study that notices the need for social desirability control in clothing consumer research.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.133-147
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• 2019

This study examined the effect of homeownership and homeownership desirability on residential satisfaction. By using the '2016 Korea Housing Survey', we categorized households into four types: 1) those who own a home with homeownership desirability; 2) those who own a home without homeownership desirability; 3) those who do not own a home with homeownership desirability; and 4) those who do not own a home without homeownership desirability. The study area is the whole country and the sample size is 19,219. By running t-test analyses and multiple regression analyses, we found that the level of residential satisfaction and the influences of factors affecting residential satisfaction differ among the four types. In particular, the results shows that homeownership desirability can lead to differences in factors affecting residential satisfaction. This study is limited by not analyzing homeownership desirability more systemically and not using physical data for residential environment. Nevertheless, this study provides insights on designing housing policy to consider homeownership desirability.

• Korean Journal of Social Welfare Studies
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• v.49 no.3
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• pp.87-114
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• 2018

While social desirability has been neglected in the field of social work research in Korea, social work articles published in foreign journals have tried to identify respondents with a high level of social desirability and to control the effect of social desirability. The Social Desirability Scale (SDS-24) is the first social desirability scale developed by a Korean research is composed of two factors, self deception and impression management. This study was conducted to improve its practicability by evaluating its psychometric properties with social work practitioners and students. The findings of this study are satisfactory. The factor structure of the Social Desirability Scale (SDS-24) was confirmed and its reliability and validity were satisfactory. The advantage of the Social Desirability Scale (SDS-24) is that it includes items related to Korean culture. The ways of using Social Desirability Scale (SDS-24) in social work research are provided.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.450-453
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• 1997

There are many studies about optimization using genetic algorithm and desirability function. It's very important to find the optimal value of something like response surface or regression model. In this study I ind~cate the problem using the old type desirability function, and suggest the new type desirabhty functton that can fix the problem better, and simulate the model. Then I'll suggest the form of desirability function to find the optimum value of response surfaces which are made by mean and standard deviation using genetic algorithm and new type desirability function.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.1
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• pp.25-30
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• 2012

Desirability approaches have been proposed to find an optimum of multiple response problem. The existing desirability approaches use either of mean or min of individual desirability in aggregation of multiple responses. However, in order to find an optimum having high mean and low dispersion among individual desirability, the dispersion needs to be simultaneously considered with its mean. This study proposes bias and variance (BV) method which aggregates bias (ideal target-mean) and variance of individual desirability in multiple response optimization. The proposed BV method was applied to an example to evaluate its usefulness by comparing with existing methods. Evaluation results showed that the solution of BV method was a fairly good compared with DS (Derringer and Suich, 1980) and KL (Kim and Lin, 2000) methods. The BV method can be utilized to multiple response surface problems when decision makers want to find an optimum having high mean and low variance among responses.

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.565-572
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• 2009

This paper presents the optimization steps with weight and importance of estimated characteristic values in the multiresponse surface analysis(MRA). The research introduces the shape parameter of individual desirability function for relaxation and tighening of specification bounds. The study also proposes the combinded desirability function using arithmetic, geometric and harmonic means considering the measurement unit and numerical pattern.

• International Journal of Costume and Fashion
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• v.11 no.2
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• pp.53-64
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• 2011

The implementation of a short renewal cycle has become one of the competitive alternatives for apparel retailers to respond quickly to fast-changing consumer tastes. This strategic orientation affects consumer decision-making by inducing perishability of the store offerings. The purpose of this study was to examine the impact of perceived seller-induced perishability (as a result of a short renewal cycle) on perceived desirability of products urge to buy and purchase acceleration. The proposed model was tested in a field setting with female shoppers from two leading fast fashion retailers in the United States. This study found that perceived seller-induced perishability significantly enhances the perceived desirability of products and intensify the urge to buy while shopping which in turn accelerates purchases. In addition to perceived seller-induced perishability perceived desirability of products also contributed to intensifying the urge to buy. A number of theoretical and managerial implications were discussed and major areas of future research were suggested.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.9
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• pp.1-8
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• 2020

In this study, the optimal design of the multi-cavity mold layout and packing pressure for the automobile TCU connector cover is determined based on the injection molding analysis and the desirability function method for multi-characteristic optimization. The design characteristics to be optimized are the warpage and sink marks of the product, the scrap of the feed system, and the clamping force. The optimal design is determined by performing injection molding analysis and desirability analysis for design alternatives defined by a complete combination of five mold layouts and six-level packing pressure. The optimal design shows that the desirability values for individual characteristics are quite high and balanced, and the resulting values of individual characteristics are satisfactorily low.

• Journal of Korean Society for Quality Management
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• v.25 no.1
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• pp.56-68
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• 1997

The object of multiresponse optimization is to determine conditions on hte independent variables that lead to optimal or nearly optimal values of the response variables. Derringer and Suich (1980) extended Harrington's (1965) procedure by introducing more general transformations of the response into desirability functions. The core of the desirability a, pp.oach condenses a multivariate optimization into a univariate one. But because of the subjective nature of this a, pp.oach, inexperience on the part of the user in assessing a product's desirability value may lead to inaccurate results. To compensate for this defect, a weighted desirability function is introduced which takes into consideration the vriances of the responses.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.4
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• pp.1-16
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• 2010

In consumption environment, the time interval is frequently found between purchase and consumption. The objective of this study is to determine how consumers' purchase intentions can be influenced by this type of temporal distance. Construal level theory holds that the 'distant future situation' tend to be construed on a higher level than the 'near future situation.' Accordingly, when considering the consumption in the near future, consumers tend to be more likely to focus on the feasibility of the alternatives than on desirability. Conversely, when considering the consumption in the distant future, they are more likely to focus on the desirability of the alternatives than on feasibility. Along with the previous literature, the current study investigates the effects of temporal distance between purchase and consumption on consumer choice. Moreover, we aim to determine under which conditions these effects pertain. To test our hypotheses, we conducted a 2(temporal distance:near future vs. distant future) x 2(alternative type:high desirability, low feasibility vs. low desirability, high feasibility) x 3(additional offering:no gift, free coffee coupon, free mini book) between subjects design. The results show that the main effects of temporal distance and additional offering are significant. The 2 way interaction between temporal distance and additional offerings is also significant. Specifically, the purchase intention differentiation from additional offering tends to be larger at shorter temporal distances (near future) than at long ones (distant future).