• Journal of Global Scholars of Marketing Science
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• v.4
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• pp.197-211
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• 1999

The purpose of the research is (1) to identify the usage of Quick Response technologies (QRT) by apparel retailers and the improvement of store attributes by QRT, and (2) to test a conceptual model which examines Consumer Satisfaction(CS) with apparel retail stores. A convenience sample of 32 retailers and 200 apparel consumers participated in the survey research. The most used technology is sales captured at the item level and the store attribute most improved by QRT is fast turnaround of goods. Disconfirmation(DC) (i.e., QRT based, non-QRT based attributes) had significant effects on CS with apparel retail stores. DC of QRT based attributes (e.g. reduced stockout) have more influence on CS than DC of non-QRT based attributes (e.g., location of store).

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.359-371
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• 2012

Purpose: Due to the explosive growth and widespread use of smartphones, new business opportunities are emerging. Despite the importance of creating customer value in using smartphone applications, past studies on have mainly focused on functions or factors and specifications that influence users to use the device. Methods: This study is intended to identify how customer dissatisfaction from the use of smartphone application services affects customer sentiment and behavior. The research model is tested via a survey of 290 smartphone application users. Results: The result of this empirical study indicates that customer dissatisfaction significantly affects the user's disappointment and regret in using a service, which are subordinate values of customer emotion. The user's anger is positively associated with 'Negative word of mouth' and 'Complaint', which are subordinate values of customer behavior, but not with an intention to switch to another service. 'Regret' and 'Disappointment' are positively associated with 'Negative word of mouth' and 'Switching intention', but not with 'Making direct complaints'. Finally, customer's negative sentiments are a significant intermediary in the relationship between customer dissatisfaction and behavioral response. Conclusion: Finally, the study offers a more systematic understanding on the phasal response process of customer dissatisfaction in relation to the provision of smartphone application services.

• Korean Security Journal
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• no.62
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• pp.321-346
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• 2020

The purpose of this study is to identify the relationship among customer access service, internal response, and consumption behavior of security agency users through a structural model. The research will be meaningful in that it can contribute to the development of the security industry by identifying the importance of customer access service, which is an empirical face of buyers using security agency, and thus establishing the relationship between consumer reaction and consumption behavior. The study subject is a store that uses security agency in areas with dense shopping districts in Cheonan and Asan of South Chungcheong Province, where 375 store representatives and employees were selected to conduct the research. Research tools were modified and used to suit the purpose of the research based on domestic and foreign prior research. Using two statistical programs, SPSS 25.0 and AMOS 25.0, data processing was performed: frequency analysis, exploratory factor analysis, reliability analysis, confirmed factor analysis, and structural model analysis. The statistical significance level was analyzed by setting a value of .05 and the following conclusions were obtained. First, the customer access service of security agency users has a positive impact on consumption behavior. Second, the customer access service of security agency users has a positive effect on the internal response. Third, the internal response of security agnecy users has a positive effect on consumption behavior. Fourth, the internal response has a positive effect as a medium effect between customer access service and consumption behavior of security agency users.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.25-30
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• 2016

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer's perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. $ARMA(2,\;1,\;2)(1,\;1,\;1)_7$ and $ARMA(0,\;1,\;1)(1,\;1,\;0)_{12}$ are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

• International Journal of Human Ecology
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• v.16 no.1
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• pp.11-23
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• 2015

Although Korean international students/scholars are among the largest groups of international students/scholars on most campuses in the United States, little is known about what types of demands their families face and how they adapt successfully in the face of demands. The purpose of this study was to explore family resilience, which consists of family demands, capabilities, and adaptation, perceived by Korean international student/scholar families, being theoretically guided by the Family Adjustment and Adaptation Response (FAAR) model. Data were collected through face-to-face interviews with couple informants. Following procedures of theory-based content analysis, data were analyzed using key FAAR concepts. Findings showed that most informants reported normative types of family demands such as hardships due to childcare; primary family capabilities were "maintaining social integration," "affective and instrumental communication," and "family cohesiveness," and "nurturance, education, and socialization" was the primary family adaptation mode. New categories under family capabilities, "religious commitment" and "transnational family support" were developed. The results suggest that there is a unique set of family capabilities that contribute to the successful adaptation of Korean international student/scholar families. Implications and limitations are discussed.

• Asian Journal of Business Environment
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• v.11 no.4
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• pp.17-29
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• 2021

Purpose: The aim of this study is to explore the dynamic linkage between conditional stock market volatility and macroeconomic uncertainty of Bangladesh. Research design, data, and methodology: This study uses monthly data covering the time period from January 2005 to December 2018. A comprehensive set of macroeconomic variables, namely industrial production index (IP), consumer price index (CPI), broad money supply (M2), 91-day treasury bill rate (TB), treasury bond yield (GB), exchange rate (EX), inflow of foreign remittance (RT) and stock market index of DSEX are used for analysis. Symmetric and asymmetric univariate GARCH family of models and multivariate VAR model, along with block exogeneity and impulse response functions, are implemented on conditional volatility series to discover the possible interactions and causal relations between macroeconomic forces and stock return. Results: The analysis of the study exhibits time-varying volatility and volatility persistence in all the variables of interest. Moreover, the asymmetric effect is found significant in the stock return and most of the growth series of macroeconomic fundamentals. Results from the multivariate VAR model indicate that only short-term interest rate significantly influence the stock market volatility, while conditional stock return volatility is significant in explaining the volatility of industrial production, inflation, and treasury bill rate. Conclusion: The findings suggest an increasing interdependence between the money market and equity market as well as the macroeconomic fundamentals of Bangladesh.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.391-401
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• 2021

Technological developments facilitate payment transactions. In 2020, Bank Indonesia issued a regulation that supports QR payments using the Indonesian Standard Quick Response Code (QRIS). PT ABC is one of the banks that launched a QR payment feature on mobile banking with QRIS standards to make it easier for customers to make payment transactions at various merchants. In its implementation, the interest of QR payment users still tends to be small, so an analysis of the interests of QR payment users is carried out. The purpose of this study is to analyze the factors that influence user interest by using a modified UTAUT model. The UTAUT model was modified by adding variables to perceived trust, perceived risk, perceived regulatory support, and promotional benefits. The population taken is the company's customers in the DKI Jakarta area and it takes 403 samples for this case study. The results of empirical analysis show that 8 out of 12 hypotheses are considered proven where business expectations, social influence, perceived trust, perceived risk, perceptions of regulatory support, promotion benefits, age-moderated performance expectations, and age-moderate effort expectations have a significant effect on behavioral intentions, while performance expectations, facilitation conditions, business expectations are moderated by experience and social influence.

• Asian Journal of Business Environment
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• v.12 no.2
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• pp.13-28
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• 2022

Purpose: Natural products are becoming gradually popular because of their health - related benefits and consumers' environmental awareness. However, research in this field remains limited, the present study attempts to address this research gap by measuring the influencing levels of the antecedents on natural product brand love. Research design, data and methodology: The study employs S-O-R (Stimulus - Organism - Response) framework together with Innovation Resistance Theory and Dual-Factor Theory to propose the research model, in which health and environmental stimuli influence both of facilitators and inhibitors of internal states or organism, and then shape purchase intention and brand love as consumers' responses. The mixed research method is designed with the application of structural equation model (SEM) to analyze 530 consumers collected by convenience sampling. Results: The results revealed that two chosen stimuli, including health awareness and environmental concern were positively related to both facilitators (natural content and regional products) and inhibitors (image barrier and usage barrier) and these four factors were significantly associated to purchase intention and brand love. Furthermore, purchase intention played the mediating role on the relationship between the four organisms and brand love. Conclusions: The originality of this paper is extend S-O-R theory into natural product context with mediating effects in an emerging economy. The findings make theoretical contribution on consumer behavior and managerial implication.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.225-234
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• 2022

Voice commerce has emerged as a key channel for consumer searches and purchases. This study examines the continuance use intention of voice commerce, applying value-based adoption model. An online survey was conducted with 470 consumers who has experienced with voice commerce. As participants were who buys and purchases goods; or a user who uses food delivery service in voice commerce context. This study used SPSS 23.0 and Amos 23.0 for descriptive analysis, correlation analysis, confirmatory factor analysis, and structul equation modeling analysis. These reaults are as follows. First, usefuleness and response accuracy were significantly influenced the perceived value of voice commerce. Second, functional risk was significantly influenced the the perceived value of voice commerce. Third, perceived value was significantly influenced the continuance use intention of voice commerce. These results enhance understanding of voice commerce users and provide insight into the service provider of voice commerce.

• The Korean Journal of Food And Nutrition
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• v.17 no.3
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• pp.278-285
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• 2004

The effects of water, rye flour and vital gluten on the sensory properties of bread were studied by response surface methodology and sensory evaluations. A response surface model was used to evaluate the effects observed and to determine the optimum variations for rye bread. The study included 12 combinations of the following independent variables: Water(57, 62, 67%), Rye flour(0, 10, 30, 50%), and Vital gluten(0, 1, 3, 5%). Bread quality attributes determined were specific volume, color, texture, appearance, taste, chewiness, moisture, overall. Rye bread specific volume, sensory evaluation values and Instrumental testing results were significantly affected by variety (water, rye flour and vital gluten). Rye bread with a high specific volume was produced using water 67%, rye flour 10% and vital gluten 3%. Whereas, rye breads with a high overall sensory evaluation were water 62 %, rye flour 10 % and vital gluten 5%. And Specific volume predicted and overall preference also was shown high. It was shown that the experimental design used provided information about the rye bread of variation of water, rye flour and vital gluten and can be a useful supplement to standardized and optimized formulas in rye bread making. The results suggest that water, rye flour, vital gluten can be combined in rye bread making at various levels, contributing to optimize the functional properties of rye bread. These result represents that breads loaf volume related to directly consumer preference.