• Human Ecology Research
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• v.60 no.4
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• pp.521-533
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• 2022

Using Bernd H. Schmitt's experiential modules, this study investigated the effect of shopping value on recognizing the importance of customer experience. A survey was conducted with 400 adults aged in their 20s to 50s. To analyze the data, factor analysis, a reliability test, cluster analysis, and ANOVA were conducted. The results were as follows. First, the shopping values exhibited by sportswear consumers were a utilitarian shopping value and a hedonic shopping value. Through these, consumers were classified into four groups: a shopping value-oriented group, a utilitarian shopping value group, a shopping value-unconcern group, and a hedonic shopping value group. Second, the customer experience consisted of five factors: sensory experience, emotional experience, cognitive experience, behavioral experience, and relational experience. Third, a significant difference was observed in customers' perceived experiences according to shopping value type. In the shopping value-oriented group, all customer experiences were generally considered important, followed by the hedonic shopping value group and the shopping value-unconcern group, with the utilitarian shopping value group least likely to perceive customer experiences as important. In addition, cognitive and emotional experiences were rated highest among the five experiences, indicating that these were the most important store experiences among the various customer experience components.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.129-136
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• 2023

In this paper, we describe a rule-based risk classification algorithm to perform Risk-based Inspection (RBI) on imported goods at customs. The RBI system is a method to automatically select which cargos have to be inspected and manage potential risks in boarder. In this study, we designed a rule-based risk classification algorithm for RBI solutions and implemented them using the Svelte web application framework. The risk classification algorithm proposed in this paper uses different indicative risk factors such as HS code, country of origin, importer's reliability, trade relationships, and logistics routes to classify cargos into Green, Yellow, and Red channels. To achieve this, we assigned risk categories to each risk factor and randomly generated risk scores within a specific range for each risk category. This system is expected to contribute to the increased efficiency of customs operations and protect public safety by minimizing the risk of imported hazardous materials.

• Journal of the Korea Society for Simulation
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• v.18 no.1
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• pp.35-40
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• 2009

The reliability of processing the distributed application becomes more and more important issues in distributed network as the usage of distributed network increases. Because the distributed network applications are processed in the available resources of Internet. It is important factors that the user can efficiently access the available resources and processed results can be delivered to the user of job request. Therefore in this paper, we suggested the survivability factor for sending data safely whether it can be efficiently accessed between the user and available resource which processes the distributed application. And evaluated the performance of the suggested factor using the data transmission time. Also we suggested the transmission algorithm for safe transmission using the survivability factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.987-1003
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• 2022

This study explores the effect of experiential value of AR fashion platform on platform preference. Based on the SOR theory, the effects of visual appeals, entertainment, service excellence, and efficiency on platform attitudes, mediated by intrinsic enjoyment and escapism, are tested. The participants respond to the questions after watching the video clip, using an AR fashion platform. A total of 252 data is analyzed using SPSS 26.0 for descriptive statistics and reliability analysis and AMOS 26.0 for confirmatory factor analysis and structural equation modeling. The results show visual appeals, entertainment, and efficiency influence platform preference, mediated by intrinsic enjoyment. Entertainment also influences platform preference, mediated by escapism. The moderating effect of the AR service pre-experience is also explored. For the group with the AR service experience, entertainment and efficiency has a positive effect on intrinsic enjoyment, leading to AR platform preference. For the group without an AR service experience, only entertainment influences the AR platform preference, mediated by intrinsic enjoyment; however, there are no factors which increase escapism. The findings of this study contribute to find the marketing directions for the AR service users, by offering appropriate experiential values based on their prior AR experience.

• Journal of Korean Clinical Nursing Research
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• v.15 no.1
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• pp.93-106
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• 2009

Purpose: The purpose of this study was to develop a valid and reliable instrument to explore and measure job satisfaction as perceived by perioperative nurses, specifically from the perspective of contemporary perioperative nursing in Korea. Method: Items (69) were developed from the responses to two open-ended questions by 168 perioperative nurses in one teaching hospital; (a) reasons that make work enjoyable, (b) reasons that make work unpleasant. Finally 55 items were selected, excluding items with lower correlation with the total scale. The instrument was completed by 885 perioperative nurses from 89 different hospitals nationwide who were attending the annual conference of the Korean Association Operating Room Nurses (KAORN), yielding a response rate of 95.6%. Results: Ten factors were extracted by factor analysis, which explained 60.0% of the total variance; Reliability and internal consistency were established (Cronbach's alpha=.95). A smaller sample of 39 perioperative nurses completed the instrument on two occasions, with a 2-week interval between. Mean scores were computed and two sets of scores were analyzed by Weighted Kappa (W-Kappa=0.680, p=.029). Conclusion: This instrument is a concise, highly practical and flexible tool, which can be used for the perioperative nurse in a wide range of hospital settings.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.401-409
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• 2023

Oscillating water column (OWC) type wave power generator system is a power generation system that uses wave energy, a sustainable and renewable energy source. Irregular cycles and wave heights act as factors that make it difficult to secure generation efficiency of the wave power generator system. Recently, research for improving power generation efficiency is being conducted by applying digital twin technology to OWC type wave energy converter system. However, digital twin using sensor data can predict erroneous performance due to uncertainty in the sensor data. Therefore, this study proposes an uncertainty analysis method for sensor data which is used in digital twin to secure the reliability of digital twin prediction results. Uncertainty quantification considering sensor data characteristics and future uncertainty information according to uncertainty propagation were derived mathematically, and confidence interval estimation was performed based on the proposed method.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.827-838
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• 2023

Centrifugal pump is a key part of nuclear power plant systems, and its health status is critical to the safety and reliability of nuclear power plants. Therefore, fault diagnosis is required for centrifugal pump. Traditional fault diagnosis methods have difficulty extracting fault features from nonlinear and non-stationary signals, resulting in low diagnostic accuracy. In this paper, a new fault diagnosis method is proposed based on the improved particle swarm optimization (IPSO) algorithm-based variational modal decomposition (VMD) and relevance vector machine (RVM). Firstly, a simulation test bench for rotor faults is built, in which vibration displacement signals of the rotor are also collected by eddy current sensors. Then, the improved particle swarm algorithm is used to optimize the VMD to achieve adaptive decomposition of vibration displacement signals. Meanwhile, a screening criterion based on the minimum Kullback-Leibler (K-L) divergence value is established to extract the primary intrinsic modal function (IMF) component. Eventually, the factors are obtained from the primary IMF component to form a fault feature vector, and fault patterns are recognized using the RVM model. The results show that the extraction of the fault information and fault diagnosis classification have been improved, and the average accuracy could reach 97.87%.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.223-232
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• 2023

This study desires to examine the impact of five dimensions of entrepreneurial (EO) orientation (innovation, competitive aggressiveness, proactiveness, risk-taking, autonomy) on the operation of women-owned SMEs; the author conducted a case study in Vietnam. How will each dimension of EO affect women-owned SMEs' performance? This study aims to seek the answer to these questions. A survey research design and a theoretical framework have been developed for all factors in the current context. A simple random sampling technique was applied in 300 SMEs in some provinces of Vietnam through a survey questionnaire, and a total of 258 valid responses were assessed as appropriate. The obtained data was analyzed by using SPSS 20.0. Cronbach's α test and factor analysis have been carried out to test the reliability of data and validate the hypothesis. Research results show that innovation, competitive aggressiveness, proactiveness, and autonomy positively affect business performance, while risk-taking negatively affects business performance. The results suggest that female business owners should know how to improve each dimension of the entrepreneurial in line with its context. Research results are important implications for Government administrative agencies for businesses to consult and introduce effective support policies. It is recommended that similar studies be replicated to confirm this result.

• Journal of Distribution Science
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• v.20 no.4
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• pp.85-94
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• 2022

Purpose: Previous research has found that organizational performance pressures and barriers have an effect on the long-term viability of Micro, Small, and Medium Enterprises (MSMEs). Furthermore, MSMEs' intellectual capital and strategic orientation, according to recent research findings, have an impact on this. The goal of this study is to see how intellectual capital and strategic orientation affect MSMEs' performance. Research design, data and methodology: The performance of MSMEs is the dependent variable, with intellectual capital, market orientation, learning orientation, and technical orientation as independent factors. With a sample size of 113 respondents, this research focused on information technology-based MSMEs in Indonesia's Solo Raya area. Data was analyzed use Confirmatory Factor Analysis for the reliability test and path analysis SEM. Results: The interaction between intellectual capital and strategic orientation in respect to MSMEs' performance reveals that innovation capability serves as a partial mediator in the relationship between intellectual capital and technical orientation and organization performance. Conclusions: In general, intellectual capital and strategic orientation have a positive substantial influence on innovation, according to the findings. Furthermore, they have a considerable favorable influence on the performance of MSMEs. It's just that intellectual capital has no discernible impact on knowledge sharing.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.2
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• pp.215-222
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• 2015

This paper presents the measurement of stress intensity factors of inclined cracks by use of photoelasticity. The distributions of isochromatics near a crack tip of the specimen loaded by uniaxially tensile load are used for analysis. Accuracy and reliability is enhanced by twice multiplying and sharpening the measured isochromatics using digital image processing. Photoelastic results are compared with those obtained by finite element method. Good agreement between them shows that the photoelastic analysis is reliable.