• Journal of Distribution Research
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• v.6 no.2
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• pp.109-133
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• 2002

This article examines how consumers in online environments depend on brand in making purchase decisions by product types. Previous research explains that the characteristics of online environments decrease the dependence on brand due to inexpensive search costs and affluent information quantity. But it is likely that in online environment, the dependence on brand will be differentiated by product types. We found that in search product, the availability of information decreased consumer's uncertainty, which, in turn, increased the dependence of brand. However, in experience products, the weakness of multi-sensory increased consumer's uncertainty, which resulted in the increase of the dependence of brand.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.2
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• pp.7-14
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• 2012

To analyze any given situation, it is necessary to have information on elements which affect the situation. Particularly, there is greater variability in both frequency and magnitude of agricultural product prices as they are affected by various unpredictable factors such as weather conditions etc. This is the reason why it is difficult for the farmers to maintain their stable income through agricultural production and marketing. In this research, attempts are made to quantify the entropy of various situations inherent in the price changes so that the stability of farmers' income can be increased. Through this research, we developed an entropy model which can quantify the uncertainties of price changes using the probability distribution of price changes. The model was tested for its significance by comparing its simulation outcomes with actual ranges and standard deviations of price variations of the past using monthly agricultural product prices data. We confirmed that the simulation results reflected the features of the ranges and standard deviations of actual price variations. Also, it is possible for us to predict standard deviations for changed prices which will occur after a certain time using the information entropy obtained from relevant agricultural product price data before the time.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.940-954
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• 2015

The purpose of this study is to identify the antecedents of repurchase intention toward fast fashion brands. Perceived quality, perceived price, deindividuation, and overly trendy styles, which are product characteristic variables, and fashion innovativeness, which is a consumer characteristic variable, were considered as antecedents. It was hypothesized that product and consumer characteristics influence repurchase intention toward fast fashion brands not only directly, but also indirectly through cognitive dissonance. Data were gathered by surveying university students in Seoul using convenience sampling. Three hundred and fifty-two questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The factor analysis of product characteristics revealed four dimensions: "perceived quality", "perceived price", "deindividuation", and "overly trendy styles", and the factor analysis of consumer characteristics revealed one dimension. The factor analysis of cognitive dissonance revealed two dimensions, "regrets" and "perceived uncertainty." The hypothesized path test proved that perceived quality, deindividuation, overly trendy styles, and fashion innovativeness influence repurchase intention directly. Perceived price and deindividuation influence repurchase intention indirectly through the factor of cognitive dissonance, which is the perceived uncertainty, indicating the importance of cognitive dissonance. The results indicate effective marketing strategies should be used to decrease consumers' cognitive dissonance, and suggestions for future study are provided.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.17-26
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• 2022

Purpose - In this paper, we aim to analyze to what extent entrepreneurial orientation (EO) can help overcome Korean SMEs' liabilities of foreignness in overseas markets. In this end, we examined three sub-dimensions of EO (proactiveness, innovativeness, risk-taking) and examine their individual effects on NPD performance of exporting SMEs. Research design, data, and methodology - We collected survey questionnaires from Korean exporting SMEs that are certified with Inno-biz by the Korean Ministry of SMEs and Startups. The collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result - As a result of the analysis, we found that proactiveness and innovativeness dimension of EO have positive effect on new product performance of exporting SMEs. Furthermore, technological uncertainty has negative moderating effect between innovativeness and new product performance of SMEs. Conclusion - While proactive attitude and innovativeness of EO positively affected the performance of new products of SMEs, the tendency to take risks and pursue opportunities with bold behaviors did not have a positive effect on NPD performance in foreign nations.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.15-27
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• 2004

Most software projects inevitably involve various types and degrees of uncertainty. Without proper risk assessment and coordination, software projects can easily run out of control and consume significant additional resource. Thus, risk management techniques are critical issues to information system researchers. Previous empirical studies of U.S. software firms support the adoption of development standardization and user requirement analysis techniques in risk-based software project management. Using data collected from software projects developed in Korea during 1999-2000, we conduct a comparative study to determine how risk management strategies impact software product and process performance in countries with dissimilar IT capabilities. In addition, we offer an alternative conceptualization of residual performance risk. We show that the use of residual performance risk as an intervening variable is inappropriate in IT developing countries like Korea where the role of late stage risk control remedies are critical. A revised model is proposed that generates more reliable empirical implications for Korean software projects.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.21 no.11
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• pp.1051-1058
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• 2011

The military communication equipment is required the high reliability for operating adequate functions under severe conditions. This reliability is the essential element for the quality of the product, for the uncontrolled factors, such as the clearance, damage of the material, the reduction of stiffness, which are the designer is unable to handle. In this paper, the uncertainty for the dimension was supposed to the probability model for the military communication equipment, and the average of the objective function was minimized for reducing design uncertainty. The reliability-based design optimization which was implemented the limit state function was formulated into the mathematical model, so the reliable optimized structure was implemented than the base-line design.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1079-1084
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• 2006

Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results can be misleading. This paper proposes an extended version of the QFD methodology, called Robust QFD, which is capable of considering the uncertainty of the input information and the resulting variability of the output. The proposed framework aims to model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. The proposed framework is demonstrated through a case study on the ADSL-based high-speed internet service.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.10a
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• pp.504-509
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• 2011

The military communication equipment is required the high reliability for operating adequate functions under severe conditions. This reliability is the essential element for the quality of the product, for the uncontrolled factors, such as the clearance, damage of the material, the reduction of stiffness, which are the designer is unable to handle. In this paper, the uncertainty for the design was supposed to the probability model for the military communication equipment, and the average of the objective function was minimized for reducing design uncertainty. The reliability-based design optimization which was implemented the limit state function was formulated into the mathematical model, so the reliable optimized structure was implemented than the base-line design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.248-259
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• 2017

This descriptive correlational study was conducted to identify the factors influencing the uncertainty of patients undergoing chemotherapy for lung neoplasms. One hundred and eleven patients were recruited from the chemotherapy clinic of a university hospital. Data were collected from July 25 to December 31, 2014, and analyzed by descriptive statistics, the t-test, ANOVA, the Scheffe test, Pearson's product moment correlation coefficients and multiple regression analysis with SPSS for Windows Version 18.0. The mean score of the uncertainty of the patients undergoing chemotherapy for lung neoplasms was 2.61(${\pm}0.46$), which was higher than that of the patients with other diseases. The uncertainty was positively correlated with the seriousness of the illness (r=.74, p<.01) and consistency of the symptoms (r=.27, p<.01). Multiple regression analysis showed that the (main) factor influencing the uncertainty was the seriousness of the illness, which explained 54% of the uncertainty of the patients undergoing chemotherapy for lung neoplasms. As a result, nursing interventions are needed to reduce the uncertainty of lung neoplasm patients who are receiving chemotherapy. The seriousness of the illness should be considered when developing nursing interventions to reduce the uncertainty of lung neoplasm patients.