• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.187-194
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• 2019

Traditional demand forecasting methods are difficult to meet the needs of companies due to rapid changes in the market and the diversification of individual consumer needs. In a diversified production environment, the right demand forecast is an important factor for smooth yield management. Many of the existing predictive models commonly used in industry today are limited in function by little. The proposed model is designed to overcome these limitations, taking into account the part where each model performs better individually. In this paper, variables are extracted through Gray Relational analysis suitable for dynamic process analysis, and statistically predicted data is generated that includes characteristics of historical demand data produced through ARIMA forecasts. In combination with the LSTM model, demand forecasts can then be calculated by reflecting the many factors that affect demand forecast through an architecture that is structured to avoid the long-term dependency problems that the neural network model has.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.99-105
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• 2018

The purpose to this study is to analyze the difference of trust toward Internet-only bank into two groups according to the gender. We specially examined whether there is any gap in the determinant of trust. For this, we attempted to analyze the significance of the difference in the path coefficients between the gender through latent mean and path analysis. As a results, the difference of the determinant of trust between the male and the female group occurred in the factor of benefit and security. Moreover, it reconfirmed that trust are later strongly extended to relationship commitment. These findings suggest that it's very important to establish a trust with customers.

• Journal of Korean Society for Quality Management
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• v.49 no.3
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• pp.299-312
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• 2021

Purpose: We provide a condition-based maintenance policy where a surrogate variable is used for monitoring system performance. We constructed a risk function by taking into account the risk and losses accompanied with erroneous decisions. Methods: Assuming a unique degradation process for the performance variable and its specific relationship with the surrogate variable, the maintenance policy is determined. A risk function is developed on the basis of producer's and consumer's risks accompanied with each decision. With a strategic safety factor considered, the optimal threshold value for the surrogate variable is determined based on the risk function. Results: The condition-based maintenance is analyzed from the point of risk. With an assumed safety consideration, the optimal threshold value of the surrogate variable is provided for taking a maintenance action. The optimal solution cannot be obtained in a closed form. An illustrative numerical example and solution is provided with a source code of R program. Conclusion: The study can be applied to situation where a sensor signal is issued if the system performance begins to degrade gradually and reaches eventually its functional failure. The study can be extended to the case where two or more performance variables are connected to a same surrogate variable. Also estimation of the distribution parameters and risk coefficients should be further studied.

• Journal of Korea Trade
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• v.24 no.8
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• pp.81-100
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• 2020

Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.147-159
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• 2021

This study was conducted to analyse the dine out behaviors for single-person households using the Consumer Behavior Survey for Food in 2019. The results showed that the respondents had different dine out behaviors according to their age. 20s~30s and 40s~50s single-person household tend to dine out more frequently than 60s~70s. On the other hand, there was no significant difference in the most important selection criteria when choosing a restaurant (p=0.063), but 39.7% of 20s~30s 43.1% of 40s~50s, and the 38.3% of 60s~70s respondents selected 'the taste of food', and the young people (20s~30s) who chose 'cleanliness of the restaurant' were second with 39 people (15.5%), but in the opinion of 40s~50s and 60s~70s, 'price level' was the second most important selection criteria. Besides, frequency of buying food at home was the influencing factor for 20s~30s' monthly expenditure of dinning out, while frequency of buying food at home, monthly expenditure of buying delivery or take-out food were the factors for 40s~50s. Lastly, gender, occupation as well as monthly expenditure of buying delivery or take-out food were the factors for 60s~70s' monthly expenditure of dinning out. As many studies have shown that the expenditures single-person households play an important role in the restaurant business, the results of this study are necessary for food service industry to generate different business strategy to single-person household by age.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.471-483
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• 2021

The purpose of this study is to find out audience' response of virtual influencer at the starting line of virtual influencer marketing. Therefore, posts, comments, number of likes, and video reviews were collected from Instagram of virtual influencers active in Korea. Python 3.7 and Textom were used for data collection and analysis. Sentimental analysis showed that the rate of positivity was higher than the rate of negativity and neutrality. The appearance of virtual influencer was found to be a major factor in both positive and negative. Consumers' interest in virtual influencer could be inferred from the neutral sensibility. This study is meaningful in that it presented data to help establish strategies for virtual influencer marketing by examining consumer reactions to virtual influencer and identifying factors of positive and negative emotions toward virtual influencer.

• Journal of the Korean Society of Food Culture
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• v.36 no.3
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• pp.300-307
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• 2021

In this study, consumers' perception and consumption behavior of blended tea were investigated. Also, consumer perception of Siberian chrysanthemum, consumption behavior, and awareness of efficacy were investigated. As a result of the survey, it was confirmed that it was necessary to develop a blended tea with taste and flavor characteristics that consumers prefer, having the capability of relieving stress, and preventing cold or respiratory disease. In addition, the degree of recognition of Siberian chrysanthemum was very low, and the recognition of the efficacy appeared in the order of 'cold relief' and 'respiratory disease relief'. Factor analysis results, safety attributes, health attributes, product attributes, marketing attributes, and sensory attributes were factorized into five factors, and after analysis, it was concluded that the sensory attributes of taste and aftertaste were considered the most important. Consumers surveyed appeared to consume blended tea for 'relieving mood or stress relief', to enjoy the taste, and to prevent cold or respiratory diseases. Siberian chrysanthemum displays efficacy in cold relief and relief of respiratory diseases. Therefore, developing Siberian chrysanthemum as a blended tea could be a practical application that can expand the range of its use, making it more popular and increase its commercial applications.

• Nano
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• v.13 no.11
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• pp.1850126.1-1850126.10
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• 2018

Flexible strain sensors, as the core member of the family of smart electronic devices, along with reasonable sensing range and sensitivity plus low cost, have rose a huge consumer market and also immense interests in fundamental studies and technological applications, especially in the field of biomimetic robots movement detection and human health condition monitoring. In this paper, we propose a new flexible strain sensor based on thick CVD graphene film and its low-cost fabrication strategy by using the commercial adhesive tape as flexible substrate. The tensile tests in a strain range of ~30% were implemented, and a gage factor of 30 was achieved under high strain condition. The optical microscopic observation with different strains showed the evolution of cracks in graphene film. Together with commonly used platelet overlap theory and percolation network theory for sensor resistance modeling, we established an overlap destructive resistance model to analyze the sensing mechanism of our devices, which fitted the experimental data very well. The finding of difference of fitting parameters in small and large strain ranges revealed the multiple stage feature of graphene crack evolution. The resistance fallback phenomenon due to the viscoelasticity of flexible substrate was analyzed. Our flexible strain sensor with low cost and simple fabrication process exhibits great potential for commercial applications.

• International Area Studies Review
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• v.15 no.2
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• pp.225-245
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• 2011

This study investigates the effects of justice dimensions on negative emotion, consumer satisfaction after service recovery, repurchase intention and word-of-mouth intention in a context of service recovery. Behavioral intentions(repurchase intention and word-of-mouth intention) are critical to the discount store sellers' survival and success. The research model is an extension of previous studies, especially considering more recent developments in the service recovery literature. A survey using 458 customers in China was conducted, confirmatory factor analysis was conducted to test the validity of the measurement model, and AMOS analysis approach was used to gain important insights into how customer retention in the discount store business can be ensured. The results suggest that all three dimensions of justice had negative effects on negative emotion, had positive effects on satisfaction after service recovery. Negative emotion had negative effects on recovery satisfaction. Recovery satisfaction had positive effects on repurchase intention and word-of-mouth intention. Finally, this study suggests the implications of these findings and offers directions for future research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.413-416
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• 2014

Recently, demand for various leisure sports gradually increases, as people's sense of values changes into leisure-centered one according to the change of given social circumstance and the change of customer needs all over the world. The actual condition is that an interest and participation rate especially in water leports during the summer increases. And needs for various hull design of standardized boat for water leisure increase. Therefore, this paper is intended to develop a recommendation system to design a boat for water leisure by using the collaborative filtering technique in order to make it possible to actively cope with the change of various customer needs for hull design. To this end, emotion relating to kayak design was selected through consumer survey, and emotion was derived by factor analysis and assessment, and then a kayak design layout in the aspect of customer's emotional preference was presented. Besides, an analysis was made according to the elements such as hull, body, and propulsion system of kayak in order to select emotional words according to the kayak design reflecting user's preference, and then a boat model for water leisure in conformance with user's preference was presented.