• Journal of Distribution Science
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• v.18 no.7
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• pp.19-25
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• 2020

Purpose: This study analyzes service quality of Pivate Brand (PB) productsto provide some academic and practical implications. Research design, data, and methodology: The focus is on how service quality of No Brand, which has recently received much attention, affects brand attitude and, to confirm whether consumers' prior knowledge of PB moderates this effect. A total of 167 men and women in their 20s who have experience using No Brand were surveyed. Hypothesis was verified by using hierarchical regression analysis. Results: a) Tangibles, reliability, empathy, and assurance of service quality for No Brand have a positive effect on brand attitude; b) The moderating effect of prior knowledge is only statistically significant in the context of reliability. Conclusion: This study provides academic and practical implications for establishing differentiated PB strategies. It highlights the effects of service quality and consumer prior knowledge on brand attitude. This suggests that the sub-dimension of PB service quality has a discriminatory effect on the brand attitude of No Brand, and that consumer's prior knowledge of the product influences reliability of service quality. Therefore, consumer's prior knowledge is important in order to increase trust.

• Journal of Science Education
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• v.34 no.1
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• pp.105-112
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• 2010

The purpose of this research was to investigate relations between prior knowledge and primary grade science brilliant intellect's observation and inquiry. The subjects were selected 'Spider and cobweb' that self-regulation quest is available. Subjects were divided into two groups with one group having no prior knowledge about research subject. Compared observation method question type and level that appear between subject achievement to group. Target learning group are 5 ~ 6 school year 17 people for national university for the gifted center of local middle city. Researcher collected and analyzed data using summer vacation concentration education period. Source collection subject's research recording paper, subject's voice recording device, interview data etc. A data analysis tool took advantage of observation method that is studied in existing, question type, question level. Research was able to conclude : First, observation of prior knowledge happened than mass of students who many mass of students are few relatively vigorously. Second, primary grade science brilliant intellect students used more mainly manufacturing observation than simplicity observation that use senses regardless of relative quantity of prior knowledge. Third, prior knowledge expressed variety when many mass of students observe operation relatively.

• The Mathematical Education
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• v.45 no.3 s.114
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• pp.275-293
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• 2006

The purpose of this study was to analyze the connection between students' errors and prior knowledge as an attempt to design an efficient teaching method in decimal computation. A survey on decimal computations was conducted in two 6th grade elementary school classrooms. Error patterns on decimal computations were analyzed and clinical interviews were conducted with 8 students according to their error patterns. Main errors resulted from the insufficient understanding of prior knowledge such as place value, connection between decimals and fractions, meaning of operations, and computation principles of fractions. In order to help students overcome such obstacles, a teaching experiment was designed in a manner that strengthens a profound understanding of prior knowledge related to decimal computations, and connects such knowledge to actual decimal calculations. This study showed that well-designed lesson plans with base-ten blocks might decrease students' errors by helping them understand decimals and connect their prior knowledge to decimal operations.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.18 no.3
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• pp.225-244
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• 2014

In this work, we discuss segmentation algorithms based on the level set method that incorporates shape prior knowledge. Fundamental segmentation models fail to segment desirable objects from a background when the objects are occluded by others or missing parts of their whole. To overcome these difficulties, we incorporate shape prior knowledge into a new segmentation energy that, uses global and local image information to construct the energy functional. This method improves upon other methods found in the literature and segments images with intensity inhomogeneity, even when images have missing or misleading information due to occlusions, noise, or low-contrast. We consider the case when the shape prior is placed exactly at the locations of the desired objects and the case when the shape prior is placed at arbitrary locations. We test our methods on various images and compare them to other existing methods. Experimental results show that our methods are not only accurate and computationally efficient, but faster than existing methods as well.

• Journal of the Korean earth science society
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• v.24 no.6
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• pp.524-532
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• 2003

The purpose of the present study was to test the hypothesis that student's abductive reasoning skills play an important role in the generation of hypotheses on pendulum motion tasks. To test the hypothesis, a hypothesis-generating test on the pendulum motion and a prior knowledge test about the length of the pendulum motion were developed and administered to a sample of 5th grade children. A significant number of subjects who have the prior knowledge about the length of the pendulum motion failed to apply that prior knowledge to generate a hypothesis on a swing task. These results showed that students' failure in hypothesis-generating was related to their deficiency in abductive reasoning ability, rather than the simple lack of prior knowledge. Furthermore, children's successful generating hypothesis should be required their abductive reasoning skills as well as prior knowledge. Therefore, this study supports the notion that abductive reasoning ability beyond prior knowledge plays an important role in the process of hypothesis-generation. This study suggests that science education should provide teaching about abdctive reasoning as well as scientific declarative knowledge for developing children's hypothesis-generating skills.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.4
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• pp.111-123
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• 2017

This study aimed at finding the ways to improve competitiveness of Korean low cost carriers in the highly competitive air transport market by understanding the relation among the influence of prior knowledge, service quality on customer satisfaction and reuse intention. The result of the research is as the following. At first, the influence of prior knowledge on customer satisfaction and reuse intention was statistically significant. The result indicates that customers who have much prior knowledge are more likely to be satisfied and to reuse. Secondly, the test for finding out the influence of service quality on customer satisfaction and reuse intention was statistically significant also. Thirdly, the results revealed that customer satisfaction positively influenced reuse intension. The influence of service quality on customer satisfaction and reuse intention reached the same research result compared with the existing literature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.877-893
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• 2022

With the development of deep learning, face inpainting has been significantly enhanced in the past few years. Although image inpainting framework integrated with generative adversarial network or attention mechanism enhanced the semantic understanding among facial components, the issues of reconstruction on corrupted regions are still worthy to explore, such as blurred edge structure, excessive smoothness, unreasonable semantic understanding and visual artifacts, etc. To address these issues, we propose a Learnable Structure Knowledge of Fusion Network (LSK-FNet), which learns a prior knowledge by edge generation network for image inpainting. The architecture involves two steps: Firstly, structure information obtained by edge generation network is used as the prior knowledge for face inpainting network. Secondly, both the generated prior knowledge and the incomplete image are fed into the face inpainting network together to get the fusion information. To improve the accuracy of inpainting, both of gated convolution and region normalization are applied in our proposed model. We evaluate our LSK-FNet qualitatively and quantitatively on the CelebA-HQ dataset. The experimental results demonstrate that the edge structure and details of facial images can be improved by using LSK-FNet. Our model surpasses the compared models on L1, PSNR and SSIM metrics. When the masked region is less than 20%, L1 loss reduce by more than 4.3%.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.124-133
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• 2024

This study emphasizes R&D as a management strategy for small and medium-sized manufacturing enterprises (SMEs) to achieve competitive advantage and aims to analyze the impact of innovation resistance, prior knowledge, and technological capability on the intention to adopt R&D. The research targeted 403 decision-makers from SMEs that have not adopted R&D. The analysis revealed the following key findings: As a result, both technical capabilities and prior knowledge had a negative effect on innovation resistance. In addition, technological capabilities and prior knowledge had a positive effect on adoption intention, and innovation resistance had a negative effect on acceptance intention. The indirect effects of technical capabilities and prior knowledge both had a positive impact. In addition, we tested whether dependency on partners and trading organizations that accepted R&D had a moderating effect, but it was not significant. The academic implications of this study provide a detailed analysis of how prior knowledge and technological capability affect innovation resistance in SMEs and verify the intention to adopt R&D. The practical implications suggest a direction for small and medium-sized enterprises to reduce innovation resistance in accepting R&D, and companies need to recognize the suitability of R&D and recognize the importance of technological capabilities and prior knowledge in order to reduce innovation resistance.

• The Korean Journal of Applied Statistics
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• v.27 no.6
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• pp.1029-1038
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• 2014

Bayesian experimental design is a useful concept in applied statistics for the design of efficient experiments especially if prior knowledge in the experiment is available. However, a theoretical or numerical approach is not simple to implement. We review the concept of a Bayesian experiment approach for linear and nonlinear statistical models. We investigate relationships between prior knowledge and optimal design to identify Bayesian experimental design process characteristics. A balanced design is important if we do not have prior knowledge; however, prior knowledge is important in design and expert opinions should reflect an efficient analysis. Care should be taken if we set a small sample size with a vague improper prior since both Bayesian design and non-Bayesian design provide incorrect solutions.

• Asia pacific journal of information systems
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• v.12 no.4
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• pp.139-172
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• 2002

Comtemporary firms need capability of acquiring external knowledge and internalizing it to cope with environmental fluctuation. The paper analyzes the impact of absorptive capacity, an ability to recognize and utilize external knowledge, on knowledge acquisition of the firm, and examines the role of trust in the knowledge acquisition process. Data were collected from 84 domestic companies that had adopted ERP packages. The results indicate that prior experiences of knowledge acquisition, communication mechanism, and conflict resolution mechanism affect knowledge acquisition positively. Among those independent variables, communication mechanism and conflict resolution mechanism significantly and positively related with trust. Trust is, in turn, positively associated with knowledge acquisition. Meanwhile, previous knowledge base and prior relationship with the knowledge provider do not affect knowledge acquisition. Further, the results provide evidence that trust plays a mediating role between other absorptive capacity factors and knowledge acquisition.