• 농촌지도와개발
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• 제8권2호
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• pp.179-190
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• 2001

The purpose of this study was to analysis the education effects of web-based on-line cyber program mesaured by Kirkpatrick’s evaluation process. The average score on satisfaction of the program was 4.28(.59), which was designed to evaluate the level 1, reaction. To test level 2, learning, the average score that students achieved was calculated and it was 86.87(std.=7.05) in the term examinations. The level 3, job months. It was reported that most employees who took the course are utilizing the knowledge that they acquired from the course(mean=3.80, std.=.77). To identify the level 4, business results, the mean score of the number of accidents and near misses that happened in their factories for 3 months before and after the course were compared. There was statistically significant difference between the number of accidents that happened 3 months before the course and 3 months after the course, at the significance level of .01, which was tested by Paired t-test.

• 한국CDE학회논문집
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• 제13권6호
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• pp.459-468
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• 2008

A web-based Computer-Aided Engineering (CAE) supporting system is connected with a Product Data Management (PDM) system for Small and Medium Enterprises (SMEs) suffering from the lack of building hardware, software and related experts. An analysis of current business models and worksite requirements provides an improved process model and data to be shared between the PDM system and the CAE supporting system. Since all engineering tasks such as geometric modeling, mesh generation, static stress and modal analysis, and fatigue durability analysis are automated in the CAE supporting system, the user in charge of the CAE have only to configure the concerned values of design variables and result data through the web page. The existing Change Management module of the PDM system is modified for seamless data exchange, i.e. sending the Engineering Change Order (ECO) data to the CAE supporting system and receiving the CAE result data bark. The hi-directional data transfers between the PDM system and the CAE supporting system is made possible by adaptors bused on the Simple Object Access Protocol (SOAP). The current approach will be very helpful for SMEs that only have the PDM system and have no adequate infrastructure for CAE.

• 디지털산업정보학회논문지
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• 제7권4호
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• pp.153-168
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• 2011

UCC paradigm based on Web 2.0 has made new business models and came to the forefront as a commercial media. The purpose of this study is to analyze the customer attitudes toward UCC and it effects as a commercial media. Based on prior studies of Internet and Web advertising, informativeness, entertainment, irritation, trust, usefulness, ease of use, incentives, innovativeness, and flow were identified as affecting factors of the attitude of UCC advertising. Results show that all factors except ease of use and incentives significantly related to the attitude of UCC advertising in Korea. In China, all factors except informativeness, entertainment, and usefulness were found to be significantly related to the attitude of UCC advertising. Customer attitude toward UCC advertising was also found to be significantly related to the such effects as brand attitude, word of mouth and intention to buy in both countries. This study contributes to improve the understanding of UCC as a commercial media and provide the base of activation strategies for it according to the cultural differences.

• 한국IT서비스학회지
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• 제16권1호
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• pp.1-26
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• 2017

Keeping good, talented people is one of the most significant factors in a company's success. HR analytics is an important area for applying big data analysis techniques to human resources. It provides organizational insight that enables effective management of employees, allowing management to reach their business goals quickly and efficiently. Job satisfaction and employee turnover analysis are the keys to HR analytics. Job review web services have been becoming popular. Because people exchange information about job satisfaction and turnover through these web services, useful information about HR Analytics is accumulated on the job review web sites. In this paper, we identified factors of employee retention by analyzing a Job Satisfaction/Retention group, and the factors of employee turnover by analyzing a Job Unsatisfaction/Turnover group. In order to do this, we first classified employees according to whether their self-reported job satisfaction or turnover was true. We collected and analyzed data from Jobplanet, a popular job review site. Through dominance analysis and LDA topic modeling, we found major factors, topics, and keywords of the classified groups by IT, service, and manufacturing domains. Our approach is a novel model to apply the analysis of reviews and text mining to the HR domain, and it will be practically helpful for setting new strategies that improve job satisfaction.

• Asian Journal of Business Environment
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• 제5권4호
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• 서비스연구
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• 제1권1호
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• pp.29-48
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• 2011

최근 소셜 네트워킹 서비스(Social Networking Service)에 대한 산업계화 학계의 관심이 집중되고 있다. 그러나 소셜 네트워킹 서비스의 폭발적 성장을 가능케 한 동인과 비즈니스 모델에 대한 이해가 배재된 무분별한 모방만으로는 개방형 생태계의 성공적인 안착을 도모하기 어렵다. 따라서 본 연구는 소셜 네트워킹 서비스의 플랫폼 전략, 비즈니스 모델을 분석하여 웹 기반 플랫폼 서비스를 추구하는 사업자들에게 시사점을 제공하는 것을 주요 목적으로 한다. 소셜 네트워킹 플랫폼은 개인 이용자에게 자신의 개인 정보를 공유하고 갱신할 자발적 동기를 부여하였다는 측면에서 개인화 광고를 가능케 하여 양면시장의 다른 소비자인 광고주들에게 전폭적인 지지를 받고 있다. 소비자의 참여를 유도하여 양적 팽창을 가능케 한 동인은 이용자 간 상호작용 유도와 플랫폼의 개방성에 있으며 이 플랫폼은 향후 광고 시장뿐 아니라 통신시장에 편재된 개별 기업들의 고유 영역으로 그 영향력을 확장하고 있다. 따라서 포털 사업자, 네트워크 사업자들은 소셜 네트워킹 서비스를 단순히 새로운 웹 서비스로만 인지하는 수준에서 벗어나 개별 일반 소비자의 수요를 응집시킬 수 있는 서비스 플랫폼의 확산 방안을 도출하고 광고주들의 수요를 충족시키지 위해 미디어의 진화를 촉진시켜야 한다.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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• pp.591-596
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• 2001

To deliver new products to market in a due time, companies often develop their products with numerous partners distributed around the world. Internet technologies can provide a cheap and efficient basis of collaborative product development among distributed partners. This paper provides a framework and its product database model that can support consistent product data during collaborative product development. This framework consists of four components for representing consistent product structure: the product configuration, assembly structure, multiple representations and engineering changes. A product database model realizing the framework is designed and implemented as a system that supports collaborative works in the areas of product design and technical publication. The system enables participating designers and technical publishers to complete their tasks with shared and consistent product data. It also manages the propagation of engineering changes among different representations for individual participants. The Web technologies introduced in this system enable participants to easily access and operate shared product data in a standardized and distributed computing environment.

• 대한전자공학회논문지TC
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• 제45권8호
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• pp.82-90
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• 2008

본 논문에서는 요금 지불 서비스를 위한 기능 구조를 설계하였다. 이는 IT 개발자들이 통신망 자원을 이용하여 과금 관련 응용을 손쉽게 만들 수 있도록 하였다. 운용자들이 통합 빌링을 제공할 수 있도록 하는 비즈니스 모델을 지원하기 위해서 지불 인터페이스와 계좌 관리 인터페이스는 필수적이며, 나아가 시장성장에 중요한 역할을 한다. 이 모델을 이용하여 지불 서비스와 계좌 관리 서비스로 구성되는 요금 지불 서비스를 생성하였다. 각각의 서비스는 Parlay X 웹서비스 구조를 기반으로 하였다. 지불 모델링과 계좌 관리 모델링 과정에서, Parlay X 지불 웹서비스에서 Spit Charging 관련 신규 오퍼레이션을 제안하였고, Parlay X 계좌 관리 웹서비스에서 Notification 관련 신규 오퍼레이션을 제안하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권10호
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• pp.3230-3255
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• 2022

Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.

• 정보처리학회논문지D
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• 제16D권4호
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• pp.595-612
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• 2009

시스템 개발에서 초기 테스트는 오류수정 비용을 현저하게 낮출 수 있으며 이는 SOA기반 서비스 시스템에서도 여전히 중요한 요소이다. 그러나 서비스 시스템을 위한 기존 테스트 케이스 생성 기법들은 XML 기반 언어를 사용하여 웹서비스에 한정적이라는 한계점을 가진다. 이를 극복하기 위해서 본 논문에서는 BPMN에 따라 작성된 비즈니스 프로세스 기반으로 서비스 시스템의 테스트 케이스 생성 기법을 제시한다. 테스트 노력을 최소화 하기 위해 기존 BPM을 워크플로우의 기본 요소로만 단순화 시킨 S-BPM을 사용한다. 테스트 케이스 생성 과정은 목표서비스 시스템에 대해 S-BPM을 생성하고, 이를 방향성 그래프로 변환 후, 시나리오 검색 알고리즘을 적용하여 서비스 시나리오를 생성하고, 메시지의 이동 정보를 추출함으로써 이루어진다. 본 기법을 적용하면 웹서비스에 한정적이지 않으면서도 범용 서비스에 적용이 가능한 효율성 높은 테스트 케이스를 얻을 수 있으며, 이 결과물은 SOA의 비즈니스 관점 지향 특징을 반영한 테스트 케이스로 볼 수 있다.