• 디지털융복합연구
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• 제18권6호
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• pp.167-175
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• 2020

본 논문의 목적은 보다 높은 수준의 서비스 품질과 소비자 지향적인 전자상거래 플랫폼을 개발하기 위한 방향 제시 및 정책적 참조를 제공하는 것이다. 본 논문은 고객만족이론과 인지적 가치 이론을 이용하여 중국 신선 농산물 전자상거래의 소비자 행동 모형을 구축하고 설문조사 및 SPSS23.0을 이용하여 가설을 검증하였다. 연구결과 소비자들은 신선 농산물을 소비할 때, 제품 품질, 물류 및 유통 서비스 품질, 전자상거래 플랫폼 상호작용 품질, 그리고 제품가격과 인지 가치가 소비자 행동에 긍정적인 영향이 미치는 것으로 나타났다. 본 연구는 신선 농산물 전자상거래의 소비자 행동 연구에 의의가 있으며, 신선 농산물 전자상거래 기업에도 소비자 행동을 이해할 수 있다는데 의의가 있다. 본 논문에서 제시한 모델에서는 각 영향요인과 소비자 행동의 관계를 종합적으로 고려하지만 미세 요인의 가능한 관계는 다루지 않았다. 향후 연구에서는 산업의 특성과 특수성을 명확히 하고, 그 영향 요인을 종합적으로 고려해 심층분석할 필요가 있다.

• 디지털융복합연구
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• 제11권1호
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• pp.121-127
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• 2013

WTO 출범과 미국 및 EU와의 FTA로 의해 국제적으로 농산물 교역은 자유화되었으며 외국의 저렴한 농산물이 국내시장에 상당한 영향을 미치고 있다. 이러한 환경 하에서 우리나라 농업은 영세한 구조로 인해 농가소득의 장기적이고 안정적인 수익창출에 어려움을 겪고 있다. 본 연구는 무역자유화 및 FTA로 인한 시장개방에 따른 급속한 농산물 교역시장의 경쟁구도 하에서 우리나라 수출농업 활성화를 위해 토마토를 대상으로 최적의 토마토 수출 생산자를 결정하기 위한 새로운 다기준 의사결정 모델을 제안하고자 한다. 이를 위하여 본 연구에서는 2단계 의사결정 모델을 개발하는데, 먼저 전국의 토마토 생산자가 너무 광범위하므로 예비 토마토 수출 생산자 선정을 위한 1차 계층 모델을 수립하고, 최적의 토마토 수출 생산자 선정을 위한 2차 상세 계층화 모델을 수립하였다. 본 연구에서는 다기준 의사결정의 대표적인 기법인 AHP 기법을 적용하여 평가요인간의 중요도를 결정하고 이를 토대로 하여 최적의 토마토 수출 생산자를 선정하였다. 궁극적으로 본 연구방법 및 결과는 토마토뿐만 아니라 국내 농산물의 해외수출시 수출업자가 적합한 농산물 생산자를 선정하는데 체계적이고 효율적인 의사결정 방법론으로 활용될 수 있을 것이며, 이는 수출경쟁력 향상에도 도움이 될 것으로 기대된다.

• 디지털융복합연구
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• 제13권4호
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• pp.137-146
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• 2015

우리나라에서는 고령화가 세계 주요국들에 비해 가장 빠르게 진행되고 있다. 반면, 저금리 저성장의 영향으로 노후대비 자금을 마련하는 것이 더욱 어려워지고 있다. 본 연구의 목적은 향후 고령화시대에 대비하여 다양한 금융 서비스 제공의 필요성을 살펴보는데 있다. 각종 자료 분석 및 은행직원과 일반인을 대상으로 한 설문조사 결과는 다음과 같다. 우리나라의 소득 대체율 55%는 세계은행의 권고 수준 75% 대비 매우 낮았다. 은퇴 후 수입원 중 연금 비율 역시 미 일에 비해 크게 낮았다. 설문조사에 참여한 가장 많은 사람이 은퇴 이후 생활자금 규모로 매월 200-299 만원을 필요로 하였다. 노후대비 투자 상품으로는 연령대가 높을수록 예 적금 비중이 높았고 연령대가 낮을수록 보험 연금 비중이 높았다. 이러한 분석 결과를 토대로 재무 비재무 측면을 종합적으로 고려한 생애중심 재무 설계, 은퇴 단계별 솔루션 제시, 주택금융의 활성화 및 다양한 은퇴 설계상품 개발의 필요성이 제시되었다.

• 한국산업융합학회 논문집
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• 제21권3호
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• pp.141-147
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• 2018

In a time when product development cycles are getting shorter and shorter, many companies are making efforts to develop products with high reliability in a short period of time, accelerated life test is widely used as a method to quickly evaluate reliability. Accelerated life test reduces the test life or the life of the product from the observed data by shortening the lifetime of the product or abruptly lowering the performance under the worse condition than the actual condition in order to shorten the test cost or the test time. In this paper, BL3640A-06P+RB35, DC12V model, which is used in the support device of an automatic rotation type digital signage, which display various information such as textures and images on a display screen in a public place or a commercial space, BLDC motors were subjected to a constant stress test and at the rotational speed of 1rpm, $180^{\circ}$ rotation and reverse rotation under actual use conditions, the stress was imposed on the rotating speed of 2rpm and the weight of the actual installed product from 22.2kgf to 10kgf were installed. The lifetime of the actual use environment condition is 23,545 hours and the rotation speed is accelerated. The life time of the acceleration condition with the additional weight is 1,380 hours. The acceleration factor is calculated as 17.06, the one year guarantee test day is 235 days to 14 days, of the period from 470 days to 28 days, and the third year from 704 days to 42 days. The test date of the BLDC motor was tested on the shortened test date, and the rotational speed and the current value were measured. It is found that there is no defect even if it operates as the test date corresponding to the specified one year warranty period and the 3 year accelerated life test which is experimented. Using the statistical technique of the regression analysis the expected time for the motor to defect to #4 samples was 20 years.

• Asia pacific journal of information systems
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• 제25권2호
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• pp.265-288
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• 2015

IT convergence services, as the main stream of the digital age, are currently on their way to include the concept of Software as a Service (SaaS), where IT products and services are integrated as one. In particular, the recently introduced web-service-based SaaS is expected to be a more developed SaaS model. This new model provides greater influence on clients' job performances than its previous models, such as application service providers and the web-native phase. However, the effects of technology maturity on task performance have been overlooked in adoption and performance studies. Accordingly, this study introduces SaaS technology maturity as the exogenous technological characteristic influencing job performance. This study also examines the relationships among various SaaS-related performances according to the different levels of SaaS maturity. Results suggest that applying innovative technologies (such as SaaS), particularly when the technology reaches a certain level of maturity, is more helpful for managers in improving task-technology fit and job performance. This study makes an academic contribution by establishing and validating a performance model empirically with SaaS technology maturity perspectives.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2008년도 춘계학술발표대회 논문집
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• pp.149-154
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• 2008

Housing may be construed as a place where people are settled for living, namely, family members make a home and a place, where all human living is grounded. Also, the common housing type of a certain time reflects the living of the time. With the advent of the lifestyle of a new social class attaching importance to the multi-purpose of act and function, complexity, and convenience from the 21st century, people required a housing space where work, rest, living, and recreational activities are overlapped, fused, and integrated on the axes of space and time. In addition, along with the expansion of network and digital convergence from a social perspective, the appearance of new businesses, products, and business models affects the life and culture of consumers, which leads to the destruction of the borders and spheres throughout society. Thus, the study analyzed the characteristics of the spatial organizational type of collective housing in Japanese cities since the 1990s and withdrew the organizational type of each room in order to identify the uniquely differentiated characteristics of Japanese housing.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.181-186
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• 2021

Among human intellectual creations, the right granted by law to what is worth protecting is defined as intellectual property rights. Copyright is a legal right to creative finished products made by individuals, and in recent years, this legal right has been recognized as very important. In other words, copyright is a system created to protect the rights of individuals who created creations and to recognize their efforts. Works subject to copyright vary from poetry, thesis, novels to designs, paintings, music, and architecture, and the scope of the subject is gradually expanding. Recently, research has begun on how far the Metaverse design area absorbed into the real world among works. Computer-generated video productions and software program works are also subject to digital copyright protection, but it is also true that the interpretation of the author protection law for works, designs, and trademarks in the virtual world is unclear. This study aims to analyze copyrights based on case studies and theoretical backgrounds on copyright protection and to discuss the protection limitations of Metaverse design in the virtual world. In other words, the direction for the protection of Metaverse design is presented through clear distinction and definition of copyright protection in the tertiary virtual world. This study aims to present methods for design copyright protection in the era of Metaverse, respect copyright holders' creative activities, and develop our culture through protection of creations.

• 융합경영연구
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• 제11권4호
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• pp.41-52
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• 2023

Purpose: The study examines the effect of TechTubers' unboxing videos on consumer buying behavior by highlighting the role of product touch, visual and verbal sensory cues. The study integrates the vicarious touch and the dual coding theory to analyze the Smartphone purchase behavior of Generation Z. Research design, data and methodology: The study collected data from 349 respondents who were viewers of YouTube unboxing videos. A structured questionnaire using a 5-point Likert scale was employed as a survey instrument. Convenience sampling technique was utilized to select the samples. The data were analyzed using structural equation modeling (SEM). Results: Results reveal that vicarious touch and verbal description have a statistically significant positive effect on Generation Z's purchase intention of Smartphone. Moreover, purchase intention positively affects Generation Z's actual purchase behavior of Smartphone. However, the visual images did not significantly affect purchase intention. Conclusions: The study offers significant theoretical and practical implications. The study adds new knowledge to the extant literary field by highlighting the impact of digital product presentation in the form of Unboxing videos on purchase intention for technology products. Moreover, the study suggests content sponsorship and advertising opportunities for marketers in collaboration with the TechTubers on YouTube unboxing video platform.

• 유통과학연구
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• 제21권11호
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• pp.103-111
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• 2023

Purpose: This research aims to study the selection attributes influencing the purchasing decisions of the MZ generation in online luxury stores and explores the moderating effects of consumer value. The research aims to validate the impact of reasonable pricing, brand reliability, product variety, comprehensive product information, and user-friendly interfaces on customers' decision to purchase products from online luxury stores. Research design, data and methodology: A survey was conducted with 101 participants, and data analysis included exploratory and confirmatory factor analysis, as well as covariance structure model analysis. Results: The findings reveal that brand trust, product variety, and information sufficiency significantly influence brand affect, which in turn influences purchase intention. Additionally, the study identifies that consumers prioritizing hedonic value are more influenced by brand trust and information, while those prioritizing utilitarian value are more responsive to factors like reasonable price, product variety, and ease of use. Conclusions: The study provides insights into the preferences and behaviors of the MZ generation, highlighting their digital proficiency, mobile-centric lifestyle, desire for product variety, price-consciousness, social media influence, and the availability of personalized shopping experiences as factors contributing to their preference for online luxury stores. These findings contribute to understanding consumer behavior and decision-making processes in the context of online luxury shopping.

• Design & Manufacturing
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• 제18권2호
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• pp.64-73
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• 2024

The purpose of this paper is to introduce a fusion method that combines the design of experiments (DOE) and machine learning to optimize the bias of plastic products. The study focuses on the plastic motor housing used in automobiles, which is manufactured through plastic injection molding. Achieving optimal molding for the motor housing involves the optimization of various molding conditions, including injection pressure, injection time, holding pressure, mold temperature, and cooling time. Failure to optimize these conditions can lead to increased product deformation. To minimize the deformation of the motor housing, the widely used Taguchi method, which is one of the design of experiment techniques, was employed to identify the injection molding conditions that affect deformation. Machine learning was then applied to various models based on the identified molding conditions. Among the models, the Random Forest model emerged as the most effective in predicting deformation amounts. The validity of the Random Forest model was also confirmed through verification. The verification results demonstrated the excellent prediction accuracy of the trained Random Forest model. By utilizing the validated model, molding conditions that minimize deformation were determined. Implementation of these optimal molding conditions led to a reduction of approximately 5.3% in deformation compared to the conditions before optimization. It is noteworthy that all injection molding outcomes presented in this paper were obtained through robust injection molding simulations, ensuring both research objectivity and speed.