• 산업융합연구
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• 제8권1호
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• pp.1-18
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• 2010

The purpose of this study is to examine the impacts of sports marketing mix factors on brand equities and consumer behaviors. The findings of this study are as follows: first, there are differences in sports marketing mix factors, depending on individual characteristics. Differences are found in gender and living standard with regard to individual characteristics and prices. second, there are differences in brand equities, according to individual characters. third, sports marketing mix factors impact brand equities. fourth, the sports marketing mix factors impact perceive quality, brand recognition, location related to brand image and products. fifth, sports marketing mix factors impact brand equities and consumer behaviors. In regards with brand equities and repeat purchases, sports marketing mix factors impact promotion, products, perceived quality and image. In satisfaction, the sports marketing mix factors impact location, price promotion and product recognition. In the intention of transmission by word of mouth, the factors impact price, products, perceive quality and image.

• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.99-109
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• 2016

During the last two decades, impact factor has been widely used as a journal evaluation metric that differentiates the influence of a specific journal compared with other journals. However, impact factor does not provide a reliable metric between journals in different subject categories. For example, higher impact factors are given to biology and general sciences than those assigned to other traditional engineering and social sciences. This study initially analyzes the trend of the time series of the impact factors of the journals listed in Journal Citation Reports during the last decade. This study then proposes new journal evaluation metrics that adjust the impact factors across different subject categories. The proposed metrics possibly provides a consistent measure to mitigate the differences in impact factors among subject categories. On the basis of experimental results, we recommend the most reliable and appropriate metric to evaluate journals that are less dependent on the characteristics of subject categories.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.255-260
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• 2003

The regulation for floor impact sound level is expected to be amended to 50㏈(L$\_$i, Fmax, AW/) and below in heavy-weight impact sound and 58㏈(L'$\_$n, AW/) and below in light-weight impact sound in Korea. The purpose of this paper is to analyze the influence factors of floor impact sound levels in apartments. The influence factors were air pressure of bang machine, height of microphones, data acquisition rate, etc. The air pressure range of bang machine were from 2.2 Pa to 2.6 Fa. Five microphones were installed at a height of 0.5m, 0.7m, 0.9m, 1.2m, 1.5m or 1.7m from floor level. The floor impact sound level was varied about 1-3㏈(L$\_$i, Fmax, AW/) in heavy-weight impact sound according to the influence factors.

• 한국구조물진단유지관리공학회 논문집
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• 제6권2호
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• pp.217-224
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• 2002

This paper is proposed a reasonable method for determining the dynamic properties, the impact factors caused by traffic loads on highway bridges. In addition, the impact factors obtained in previous inspection reports were classified by the span length of the bridge, kind of bridge and type of bridge and the result of the impact factor was adjusted by a statistical method and presented problems. Also, the method for determining the impact factor using traffic load is proposed and the proposed method is compared with the specification code. The method estimating the impact factors due to the traffic loads can efficiently recognize the response of the structure by providing the impact factors and help to save the investigation cost, and also it can be used for the maintenance of structures using the usual test of bridges.

• 한국정보시스템학회지:정보시스템연구
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• 제30권3호
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• pp.137-158
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• 2021

Purpose This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors. Findings The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

• 전산구조공학
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• 제5권3호
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• pp.139-146
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• 1992

본 연구에서는 트럭하중에 의한 도로형교의 진동거동을 조사하여 충격계수를 합리적으로 산출하는 경험공식을 제시한다. 이를 위해 진동해석을 위한 가장 합리적인 차량 모델링을 제시하고, 노면조도, 차량의 속도, 교량의 길이별 충격계수를 산출한다. 연구결과, 현행 시방서규정은 충격계수를 과소평가하는 경향이 있음을 알 수 있었다.

• 전산구조공학
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• 제5권2호
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• pp.87-91
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• 1992

본 연구에서는 트럭하중에 의한 도로형교의 진동거동을 조사하여 충격계수를 합리적으로 산출하는 경험공식을 제시한다. 이를 위해 진동해석을 위한 가장 합리적인 차량 모델링을 제시하고, 노면조도, 차량의 속도, 교량의 길이별 충격계수를 산출한다. 연구결과, 현행 시방서규정은 충격계수를 과소평가하는 경향이 있음을 알 수 있었다.

• International Journal of Internet, Broadcasting and Communication
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• 제15권3호
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.241-251
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• 2021

This research explores and develops digital transformation factors influencing the logistics service-provider sector in Thailand while also examining the impact sustainability factors associated with digital transformation. Divided into two parts, Part one of the theoretical study framework covers 21 factors relating to logistics, including drivers, objectives, implications, and success factors. The second part concerns 23 factors associated with logistics sustainability, including economic, environmental, and social aspects. This quantitative empirical research was conducted using an online questionnaire instrument, and a structural equation modeling (SEM) technique was used to test the proposed model. The findings from 545 samples collected between August and November 2020 from respondents working in logistics service-provider companies in Thailand show that digital transformation drivers and objectives seem likely to impact success factors and implications in digital transformation positively. Digital transformation success factors also positively impact logistics sustainability. In comparison, logistics sustainability has a significant impact on Thailand's logistics service-provider sector's economic, environmental, and social aspects. Lastly, this research highlights the significance of digital transformation success factors and extends the current knowledge about digital transformation factors and their potential impact on logistics sustainability.

• 한국건축시공학회지
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• 제11권2호
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• pp.100-107
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• 2011

건설공사의 공사기간은 건설프로젝트의 성공적인 완수를 위하여 중요한 부분을 차지하기 때문에 공사기간에 영향을 미치는 요인들을 체계적으로 관리하는 것이 필요하다. 최근에는 건설 제도적 변화로 건설공사의 공사기간에 대한 관심이 증대되고 있다. 그러나 건설 프로젝트의 공사기간에 미치는 영향요인은 매우 다양하며, 각 요인들 중 어떤 요인이 어느 정도 작업의 생산성에 영향을 미치는지에 대한 데이터의 체계적인 활용이 부족하다. 또한 특정 프로젝트, 특정 작업, 특정 협력업체 등에 영향을 미치는 요인이 무엇인지 또는 전체 프로젝트에 공통적으로 영향을 미치는 요인이 무엇인지를 인식하는 것조차 어려운 경우가 많다. 그러나 데이터 웨어하우스 기술의 다차원 분석을 활용함으로써 다양한 각도에서의 공사기간 영향요인이 미치는 생산성을 파악할 수 있다. 이에 본 연구는 건설공사에서 발생하는 다양한 영향요인에 따른 작업 생산성 데이터를 다차원적으로 분석하고 의사결정에 활용할 수 있는 데이터 마이닝 기술을 적용하여 기존 생산성 데이터들을 효과적으로 활용하는 방법을 제시한다.