• 디지털융복합연구
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• 제2권1호
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• pp.57-73
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• 2004

Due to the rapid development of Information Technology and the Internet, e-business has bloomed and prevailed recently. As the result of this phenomenon, enterprises introduce CRM as a new process accessible to customers. The purpose of this study is to examine the factors affecting the performance of CRM based on precedent theoretical studies. So, the empirical test is conducted to various hypotheses related to the research model. 206 questionnaires for this study are collected. The result of how the organizational characteristics influence on the performance of CRM shows that they have a positively significant effect on it in order of expert security, top management's support and customer information-centric culture, and department collaboration. Evaluation and compensation system don't influence on the performance of CRM directly.

• 산업융합연구
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• 제1권2호
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• pp.107-124
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• 2003

With rapid growth and competition of electronic commerce through internet, various buying types and business models are being appeared. In this paper, we studied group buying which is new business model to consumer and factors affecting on trust and participation of group buying. The followings are the regression result of this study. First, familiarity factor, customer service factor, seal of security and product value factor made a significant effect on trust. Second, familiarity factor, perceived reputation factor, customer service factor, seal of security and product value factor made a significant effect on participation of group buying. Third, trust of group buying made a significant effect on participation of group buying. In this study, modeling and empirical test were implemented about structure of trust and participation of group buying. We can know where our group buying strategies should focus and which factor we should improve.

• 한국전자거래학회지
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• 제24권2호
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• pp.217-228
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• 2019

4차 산업혁명을 맞아 사물인터넷이 떠오르며 다양한 서비스가 생겨나고 편의성이 개선되었다. 사용빈도가 높아짐에 따라 개인정보의 유출 등과 같은 보안위협이 공존하게 되었으며 보안의 중요성이 증가하고 있다. 본 논문은 사물인터넷의 보안위협에 대해 분석하여 Fast IDentity Online(FIDO)을 사용한 사용자인증을 통하여 보안성을 강화하는 모델을 제시하고자 한다. 연구결과 향후 FIDO를 통한 2차 인증 도입을 통하여 강력한 사용자인증을 구현할 것을 제안한다.

• 융합경영연구
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• 제10권4호
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• pp.25-34
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• 2022

Purpose: Technology and innovation drive new mobile application for ojek online. Using the theory of technology acceptance model and perceived risk theory, the researcher wants to find how these factors affect user's intention to use GO-FOOD that leads to technology adoption. Research design, data and methodology: The researcher uses GO-FOOD users that located in East Java, Indonesia for the object of study. Results: The findings of the research discovered that perceive usefulness and perceive ease of use do not significantly affect user's behavioral intention while perceive risk is significantly affecting the user's behavioral intention. Conclusions: The findings suggested that GO-FOOD or similar application should focus more on reducing or eliminating user's perception of risk towards the mobile application

• 융합경영연구
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• 제2권1호
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• pp.1-17
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• 2014

In today's highly competitive and fast changing business environment, key account management-a supplier company initiated relationship marketing approach targeted at the most important customers to solve their complex requirements with special treatment that eventually ensures both parties' financial and nonfinancial objectives- has regarded as a strategic weapon of many companies' sales efforts to manage their strategically important customers. On the basis of the existing studies, this research introduces a theoretical model highlighting the hypothetical relationship between key account management performance and repeat order. In addition, moderating effect of length of relationship on the relationship between key account management performance and repeat order is also introduced. We theorize the conditions under which key account management performance influences key customer repeat order behavior as well as the influence of moderating variable of length of relationship on key account management performance-repeat order relationship. Theoretical and managerial implications are provided along with suggestions to isolate a platform for future empirical research.

• 스마트미디어저널
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• 제12권1호
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• pp.54-61
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• 2023

Pricing, as one of the most important aspects of a business, should be taken seriously. Whatever affects a company's pricing system tends to affect its profits and losses as well. Currently, many manufacturing companies fix product prices manually by members of an organization's management team. However, due to the imperfect nature of humans, an extremely low or high price may be fixed, which is detrimental to the company in either case. This paper proposes the development of a fuzzy-based price expert system (Expert Fuzzy Price (EFP)) for manufacturing companies. This system will be able to recommend appropriate prices for products in manufacturing companies based on four major pricing strategic goals, namely: Product Demand, Price Skimming, Competition Price, and Target population.

• Journal of applied mathematics & informatics
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• 제29권1_2호
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• pp.173-190
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• 2011

In this paper, we construct a new approach of affine scaling interior algorithm using the affine scaling conjugate gradient and Lanczos methods for bound constrained nonlinear optimization. We get the iterative direction by solving quadratic model via affine scaling conjugate gradient and Lanczos methods. By using the line search backtracking technique, we will find an acceptable trial step length along this direction which makes the iterate point strictly feasible and the objective function nonmonotonically decreasing. Global convergence and local superlinear convergence rate of the proposed algorithm are established under some reasonable conditions. Finally, we present some numerical results to illustrate the effectiveness of the proposed algorithm.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.753-756
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• 2024

This study integrates Rivet and Retrieved Augmented Generation (RAG) technologies to enhance automated report generation, addressing the challenges of large-scale data management. We introduce novel algorithms, such as Dynamic Data Synchronization and Contextual Compression, expected to improve report generation speed by 40% and accuracy by 25%. The application, demonstrated through a model corporate entity, "Company L," shows how such integrations can enhance business intelligence. Empirical validations planned will utilize metrics like precision, recall, and BLEU to substantiate the improvements, setting new benchmarks for the industry. This research highlights the potential of advanced technologies in transforming corporate data processes.

• 벤처창업연구
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• 제8권4호
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• pp.67-79
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• 2013

메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공하는 통계적 통합 방법이다. 기술수용모델은 지난 20여 년 동안 경영정보시스템 연구에서 여러 가지 주제로 다루어지고 있으며, 지금도 여전히 계속 연구되어 오고 있다. 최근 정보통신기술과 지식정보사회의 융합은 정치, 경제 및 다양한 분야에 빠른 영향을 미치고 있다. 이러한 산업의 변화는 벤처기업 창업에 도움이 될 것이다. 따라서 기술수용모델을 기반으로 스마트폰 사용자들의 행동의도에 관한 연구들을 메타분석을 실시하였다. 또한, 본 연구는 2005년 이후 국내 학술지에 게재된 연구 중 기술수용모델의 개념간에 인과관계를 설정한 총 50편의 연구논문을 대상으로 하였다. 메타분석의 결과, 인지된 유용성에서 행위의도의 경로에 효과크기는 0.48을 보였으며, 인지된 사용 용이성에서 행위의도의 경로에 효과크기는 0.46으로 나타났다. 그리고 인지된 사용 용이성에서 인지된 유용성의 경로에 효과크기는 0.46으로 나타났다. 또한, 태도에서 행위의도의 경로에 효과크기는 0.61을 보였다. 분석결과를 바탕으로 선행연구와 비교분석을 통해 차이점을 논의하였다.

• Management Science and Financial Engineering
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• 제20권1호
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• pp.11-16
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• 2014

Extending from Grossman and Stiglitz (1980), we provide an asset pricing model of a synchronously traded cross-listed pair under information asymmetry. Following Garbade and Silber (1983), the model further embraces multi-market price discovery in a dynamic framework. The implications are as follows: The price sensitivity of holdings is higher for informed traders than for uninformed traders; the largest cross-border price spread occurs in the absence of arbitrageurs; price discovery is more likely in markets with a larger population of informed traders; and parity convergence accelerates with a higher price elasticity of demand of arbitrageurs.