• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1516-1529
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• 2023

In this paper, a motor gearbox fault-detection system based on a hierarchical flow-based model is proposed. The proposed system is used for the anomaly detection of a motion sound-based actuator module. The proposed flow-based model, which is a generative model, learns by directly modeling a data distribution function. As the objective function is the maximum likelihood value of the input data, the training is stable and simple to use for anomaly detection. The operation sound of a car's side-view mirror motor is converted into a Mel-spectrogram image, consisting of a folding signal and an unfolding signal, and used as training data in this experiment. The proposed system is composed of an encoder and a decoder. The data extracted from the layer of the pretrained feature extractor are used as the decoder input data in the encoder. This information is used in the decoder by performing an interlayer cross-scale convolution operation. The experimental results indicate that the context information of various dimensions extracted from the interlayer hierarchical data improves the defect detection accuracy. This paper is notable because it uses acoustic data and a normalizing flow model to detect outliers based on the features of experimental data.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.275-275
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• 2021

A fixed Z-R relationship approach, such as the Marshall-Palmer relationship, for an entire year and for different seasons can be problematic in cases where the relationship varies spatially and temporally throughout a region. From this perspective, this study explores the use of long-term radar reflectivity for South Korea to obtain a nationwide calibrated Z-R relationship and the associated uncertainties within a Bayesian regression framework. This study also investigates seasonal differences in the Z-R relationship and their roles in reducing systematic error. Distinct differences in the Z-R parameters in space are identified, and more importantly, an inverse relationship between the parameters is clearly identified with distinct regimes based on the seasons. A spatially structured pattern in the parameters exists, particularly parameter α for the wet season and parameter β for the dry season. A pronounced region of high values during the wet and dry seasons may be partially associated with storm movements in that season. Finally, the radar rainfall estimates through the calibrated Z-R relationship are compared with the existing Z-R relationships for estimating stratiform rainfall and convective rainfall. Overall, the radar rainfall fields based on the proposed modeling procedure are similar to the observed rainfall fields, whereas the radar rainfall fields obtained from the existing Marshall-Palmer Z-R relationship show a systematic underestimation. The obtained Z-R relationships are validated by testing the predictions on unseen radar-gauge pairs in the year 2018, in the context of cross-validation. The cross-validation results are largely similar to those in the calibration process, suggesting that the derived Z-R relationships fit the radar-gauge pairs reasonably well.

• 한국프랜차이즈경영연구
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• 제9권2호
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• pp.17-29
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• 2018

Purpose - The environment surrounding the franchise industry in recent years is a big threat to the franchise business. In this perspective, this study examines the effect of franchise CEO's Innovation, CSR Passion, and customer orientation(CO) on customers' perceived service quality(PSQ), affection, and commitments in the context of food-service franchise industry. This study suggests the guidelines on how franchisor uses their passion and customer orientation on customer to maintain and increase the commitments. Research design, data, and methodology - In order to achieve these purposes, research model and hypotheses were developed. Out of 500 respondents received through online survey, 449 respondents were used, because of 51 incomplete respondents. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and structural equational modeling with SPSS 23.0 and AMOS 23.0 statistical program. Result - The results of the study are as follows. First, innovation passion has a significant impact on PSQ and customer affection. And CSR passion have a significant impact on PSQ. Second, customer orientation has a significant impact on PSQ and customer affection. Third, PSQ has a significant impact on customer affection and sustainable commitment. Fourth, customer affection has a significant impact on behavioral commitment. Fifth, behavioral commitment has a significant impacts on sustainable commitment. Conclusions - The implications of this study are following as: Restaurants franchisor and CEOs should have a passion for innovation to continuously identify consumer needs and develop new menus and services that meet their needs. Second, franchisor and CEOs need to demonstrate the importance of creating the right environment, creating a fair business, and trying to create products in a given environment. Finally, franchisor and CEOs should demonstrate how to build relationships with customers and how to maintain positive feelings. In addition, it is necessary to appeal to the customers with enthusiasm and a customer-oriented tendency of the entrepreneur of the franchise head office in order to maintain the relationship with the customer and feelings.

• 한국프랜차이즈경영연구
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• 제7권2호
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• pp.5-14
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• 2016

Purpose - Competitive industry structure and recent economic depression challenge a survival of Korean small- and medium-sized food franchising companies (SMFCs), albeit the explosive growth of the Korean food service industry for last few decades. Against this backdrop, it examines how these SMFCs overcome liabilities of smallness and resource scarcity to strengthen competitive advantage in the market. To tackle this, in this article we focus on corporate entrepreneurship and human resources as a knowledge-based asset for these SMFCs. Furthermore, the ratio of employee turnover is high in SMFCs. We view that such brain-drain may result in poor performance of the Korean SMFCs. As such, we pay attention to the role of organizational commitment to an organization as a solution for enhancing individual-level employees' loyalty toward their organization. Research design, data, and methodology - Our research question is to what extent corporate entrepreneurship (i.e., innovative organizational culture, organizational autonomy, and administrative innovation) affects an individual-level attitude toward the organization and, in turn, employee creativity and satisfaction in the Korean SMFCs context. We collected data from employees in SMFCs for three months. A total of 126 valid questionnaires were collected, and analyzed the data using partial least squares path modeling. Results - The reliable and valid measurement model feed into testing the structural model. Our findings suggest that innovative organizational culture and organizational autonomy positively affect employee commitment. Particularly, organizational autonomy has a greater effect than innovative culture on employee commitment. However, the relationship between administrative innovation and employee commitment is not significant. We also find that employee commitment positively affects both employee creativity and satisfaction. Conclusions - Our contribution to the existing franchising business and management literature is twofold. First, the conceptual model includes three antecedents in the organizational entrepreneurship dimension to organizational commitment. Second, we conceptualize organizational commitment as employee commitment, and validate its impact on employee creativity and job satisfaction at an individual performance level. Overall, this article suggests that it is critically important for the Korean SMFCs to develop corporate entrepreneurship in order to facilitate employees' positive attitudes toward their organizations.

• 문화기술의 융합
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• 제9권4호
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• pp.113-119
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• 2023

코로나19 방역정책의 주요 수단이었던 마스크 의무착용이 해제되었음에도 불구하고, 일부 시민들이 여전히 마스크를 착용하고 있는 현상에 주목하여 왜 일부 시민들은 마스크를 벗지 않는지를 밝히고자 했다. 이와 관련한 여론조사 등을 통해 일부 시민들이 마스크를 계속 쓰는 이유를 큰 맥락에서 확인할 수 있었다. 본 논문에서는 시민들의 행동과 태도에 적지 않은 영향을 미치는 언론기사에서 마스크 착용의무 해제와 관련한 사안을 어떻게 보도했는지를 분석(토픽 모델링 및 의미연결망 분석)함으로써, 시민들이 마스크를 계속 착용하는 이면을 직⋅간접적으로 확인해보고자 했다. 이를 통해 코로나19 엔데믹이 선언되지 않은 불확실한 상황 속에서 시민들이 스스로를 보호하기 위해, 방역당국의 의무착용 해제 발표에도 불구하고 마스크를 계속 쓰는 것을 확인할 수 있었다. 향후 코로나19와 같은 위기가 자주 반복될 것으로 예측되는 상황에서 방역당국의 신뢰 형성이 중요하다는 것을 결론으로 제시했다.

• 인간식물환경학회지
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• 제22권5호
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• pp.525-539
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• 2019

Much research has been conducted on user behavior by taking surveys and interviews to plan the green space effectively. However, there is a limitation in understanding detailed user characteristics such as personalities and values. This study applied the Persona-based Scenario Method (PSM) to Hongneung Experimental Forest to understand the detailed needs and behaviors of the users in the forest recreation area. The PSM is a user experience modeling technique, which tries to understand the users by describing the type of users as real people. This study 1) extracts the factors of visitor recreation activities in Hongneung Experimental Forest based on the results of the survey, 2) develops user personas based on the results of survey and comes up with activity factors, and 3) designs user scenarios. As a result of applying the PSM, 64 factors of visitor activities were derived from the observation survey in 14 sites of Hongneung Experimental Forest and 25 key factors of visitor activities were chosen through observer's brainstorming. Second, three types of personas were developed considering the key factors and the results of user characteristics with quantitative and qualitative analysis. Lastly, context scenarios were designed by applying the key factors of visitor recreation activities to the persona model. We identified the design problems of the space and design requirements through the scenarios. This study has significance in that it takes an approach from the user perspective and was applied to the forest recreation area, which was mainly used in product design. The developed personas could be used for deriving design elements and setting the direction for planning considering detailed needs, behaviors and characteristics of users.

• Asia Marketing Journal
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• 제15권1호
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• pp.155-168
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• 2013

This study describes consumers' movie choices in conjunction with other group members and attempts to reassess the effect of the online word of mouth (WOM) source in a joint decision context. The tendency of many people to go to movies in groups has been mentioned in previous literature but there is no modeling research that studies movie choice from the group decision perspective. We found that ignoring the group movie-going perspective can result in a misunderstanding, especially underestimation of genre preference and the impact of the WOM variables. Most of the studies to measure online WOM effects were done at the aggregate level, and the role of online WOM variables(volume vs valence) is mixed in the literature. We postulate that group-level analysis might offer insight to resolve these mixed understanding of WOM effects in the literature. We implemented the study via a random effect model with group-level heterogeneity. Romance, drama, and action were selected as genre variables; valence and volume were selected as online WOM variables. A choice-based conjoint survey was used for data collection and the models was estimated via Bayesian MCMC method. The empirical results show that (i) both genre and online WOM are important variables when consumers choose movies, especially as group, and (ii) the WOM valence effect are amplified more than the volume effect does as individuals are engaged in group decision. This research contributes to the literature in several ways. First, we investigate movie choice from a group movie-going perspective that is more realistic and consistent with the market behavior. Secondly, the study sheds new light on the WOM effect. At group-level, both valence and volume significantly affect movie choices, which adds to the understanding of the role of online WOM in consumers' movie choice.

• 산업경영시스템학회지
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• 제46권4호
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• pp.15-31
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• 2023

In this study, we propose a novel approach to analyze big data related to patents in the field of smart factories, utilizing the Latent Dirichlet Allocation (LDA) topic modeling method and the generative artificial intelligence technology, ChatGPT. Our method includes extracting valuable insights from a large data-set of associated patents using LDA to identify latent topics and their corresponding patent documents. Additionally, we validate the suitability of the topics generated using generative AI technology and review the results with domain experts. We also employ the powerful big data analysis tool, KNIME, to preprocess and visualize the patent data, facilitating a better understanding of the global patent landscape and enabling a comparative analysis with the domestic patent environment. In order to explore quantitative and qualitative comparative advantages at this juncture, we have selected six indicators for conducting a quantitative analysis. Consequently, our approach allows us to explore the distinctive characteristics and investment directions of individual countries in the context of research and development and commercialization, based on a global-scale patent analysis in the field of smart factories. We anticipate that our findings, based on the analysis of global patent data in the field of smart factories, will serve as vital guidance for determining individual countries' directions in research and development investment. Furthermore, we propose a novel utilization of GhatGPT as a tool for validating the suitability of selected topics for policy makers who must choose topics across various scientific and technological domains.

• 유통과학연구
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• 제22권2호
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• pp.41-50
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• 2024

Purpose: This study aims to identify the distribution of skill evolution for accounting personnel during the health crisis and investigate the impact of accounting skills in developing resilience among accounting personnel. Research design, data, and methodology: A total of 131 respondents of accounting personnel participated in a self-administered survey questionnaire. This data is analysed using the partial least square structural equation modeling. Results: The results show that accounting skills, digital skills, and writing skills have a significant impact on developing accounting personnel's motivation, subsequently leading to resilience. Conclusions: This study adds to the literature on the new requirements and future profiles of Malaysian organisation and the accounting profession. This will be a good reference for the practitioners to identify the relevant skills required for accountants after the pandemic. Furthermore, this study includes encouraging motivation and skills to improve resilience in the Malaysian context further to understand the push factors on skills evolution among the accountants. Higher education institutions with accounting courses would consider the potential future skills of accountants to meet market demands on time when updating the institutions' curricula program. Hence, the relevant skills required can be developed and practiced at the education level, especially secondary and tertiary levels.

• 경영정보학연구
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• 제22권3호
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• pp.31-58
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• 2020

본 연구는 사회통제이론적 틀을 적용하여 조직구성원의 정보보안정책 준수에 영향을 미치는 변수들을 도출하고, 군 조직구성원의 정보보안 관련 태도와 의도에 영향을 미치는 요인들을 탐색한 것이다. 육군장교 195명을 대상으로 설문을 실시하여 윤리성향(도덕성, 책임감, 윤리교육의 가치)과 업무환경(상사와의 관계, 업무과다, 임금만족)이 보안정책준수태도 및 의도와 이직의도에 미치는 영향을 PLS 구조방정식 모형으로 검증하였다. 연구 결과 윤리성향 요인은 보안정책준수태도에, 업무환경요인(임금만족 제외)은 이직의도에 영향을 미치는 것으로 나타났다. 그리고 보안정책준수태도는 윤리성향과 보안정책준수의도를, 상사와의 관계와 보안정책준수의도를, 이직의도와 보안정책준수의도를 유의하게 매개하는 것으로 나타났다. 본 연구 결과는 윤리성향이 개인의 보안의식수준을 예측할 수 있는 변인이고, 보안정책준수태도가 조직 보안 맥락에서 주요한 변인임을 시사한다.