• 디지털융복합연구
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• 제11권6호
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• pp.11-21
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• 2013

청소년들은 상당한 수준의 인터넷 이용기술을 보유하고 광범위하게 인터넷을 이용하고 있지만, 성인에 비해 성 경험이 많지 않아 성에 대한 올바른 시각을 갖기 어렵다. 이러한 특징으로 인해 인터넷 음란물은 청소년의 성행태에 심각한 폐해를 야기할 수 있다. 이러한 문제의식에서 본 연구는 청소년이 평소에 갖고 있는 성정향성, 인터넷 음란물 노출 및 노출 후 행태 사이의 인과관계 구조를 PLS 구조모형 분석으로 탐색하였다. 분석결과 음란물 노출에 남성중심주의적 성정향성과 음란물 허용적 성정향성이 영향을 미치고 있었다. 또한 인터넷 음란물 노출은 성충동과 성행동에 직접적인 영향을 미치고 있었고, 성충동을 매개로 성행동에 간접적인 영향을 미치고 있었다. 본 연구의 의의는 기존연구에서 인터넷 음란물 노출의 종속변인으로 취급되었던 변인들을 성정향성으로 재개념화하여 인터넷 음란물의 예측변인임을 확인하였다는 점과 청소년의 인터넷 음란물 접촉이 성충동을 자극하여 성행동에 영향을 미치고 종국에는 성범죄를 유발할 수 있다는 사회통념을 간접적으로 확인하였다는 것이다.

• 한국식품영양과학회지
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• 제44권3호
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• pp.442-448
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• 2015

본 연구는 순두부찌개 소스의 품질 특성에 영향을 주는 guar gum의 농도를 다르게 첨가하여 제조한 순두부찌개 소스의 품질 특성의 변화를 알아보고 그 특성들이 소비자 기호도에 어떤 영향을 끼치는지 알아보았다. 그 결과 짠맛은 guar gum 농도의 증가에 따라 유의적으로 감소하는 결과를 보였고 소비자 기호도에 영향을 주는 인자로는 조개맛, 새우맛, 파향이 나타났으며, 모두 부정적인 영향을 주는 인자로 나타났다. 순두부찌개 소스의 유동 특성은 guar gum 농도가 증가할수록 pseudoplastic 한 성질이 증가되는 결과가 나타났으며 guar gum 농도의 증가와 소비자 기호도를 토대로 소비자 기호도 예측 모델을 개발하였다. 그 결과 guar gum의 농도가 증가할수록 소비자 기호도가 감소하였고 소비자 기호도를 보통 이상으로 유지하기 위해서는 겉보기 점도를 0.0114($Pa{\cdot}s$) 이하로 유지해야 할 것으로 사료된다. 따라서 본 연구 결과는 guar gum 함량에 따른 소스 제품의 품질 평가의 기초 연구로 소스 제품의 품질 최적화에 활용될 수 있을 것으로 판단된다.

• Asia pacific journal of information systems
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• 제22권4호
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• pp.51-73
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• 2012

Social network services based on openness, connectedness, and mass participation are reshaping many aspects of how companies conduct business and create value for their customers. For instance, Facebook and Twitter are expected to play a pivotal role as a new communication channel through which companies-forge close relationships with their customers for co-creation of value for mutual benefits. Given the potential of social network services, it is not surprising that many companies have strategically invested in social network services to reach out to customers. Despite the growing interest in social network services as a platform to connect companies and their customers, few guidelines exist about how managers can effectively utilize social network services in forging relationships with their customers. As such, scholars should pay greater attention to how firms can successfully develop relationships with their customers on social network services. In particular, this study employs the S-O-R (stimulus-organism-response) framework as a theoretical lens to develop a research model that explains customers' participation in the value co-creation platform that companies opened on Twitter. According to the S-O-R framework, certain types of individuals' behaviors can be best understood based on a causal link from environmental stimulus to organism, and response. We apply the S-O-R framework to understand how ubiquitous connectivity (stimuli) can influence customers' experience (organism) with companies on Twitter, which in turn influence their participation behavior (response). Two steps have been undertaken to empirically test the research model. First, we conducted a content analysis of tweets written by customers who follow companies on Twitter. As a result, we found event/promotion participation, company support, and giving feedback as three specific types of customer participation behavior. Second, we conducted a web-based survey to test research hypotheses in the research model. Participations in the survey were solicited to customers who followed companies on Twitter. As a result, a total of 115 respondents have completed the survey. Data were analyzed using the partial least square (PLS) technique. The results of data analysis suggest that ubiquitous connectivity (stimuli) had strong positive effects on perceive usefulness, perceived enjoyment, and perceived intimacy (organism). Perceived intimacy showed positive effects on customer participation behavior (response), such as event participation, company support, and giving feedback. Perceived enjoyment was found to have strong positive effects on company support and giving feedback. On the other hand, perceived usefulness did not have significant impacts on the three types of customer participation behavior.

• Asian-Australasian Journal of Animal Sciences
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• 제30권11호
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• pp.1633-1642
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• 2017

Objective: Evaluation of exercise effects in racehorses is important in horseracing industry and animal health care. In this study, we compared metabolic patterns between before and after exercise to screen metabolic biomarkers for exercise effects in thoroughbreds. Methods: The concentration of metabolites in muscle, plasma, and urine was measured by $^1H$ nuclear magnetic resonance (NMR) spectroscopy analysis and the relative metabolite levels in the three samples were compared between before and after exercise. Subsequently, multivariate data analysis based on the metabolic profiles was performed using orthogonal partial least square discriminant analysis (OPLS-DA) and variable important plots and t-test was used for basic statistical analysis. Results: From $^1H$ NMR spectroscopy analysis, 35, 25, and 34 metabolites were detected in the muscle, plasma, and urine. Aspartate, betaine, choline, cysteine, ethanol, and threonine were increased over 2-fold in the muscle; propionate and trimethylamine were increased over 2-fold in the plasma; and alanine, glycerol, inosine, lactate, and pyruvate were increased over 2-fold whereas acetoacetate, arginine, citrulline, creatine, glutamine, glutarate, hippurate, lysine, methionine, phenylacetylglycine, taurine, trigonelline, trimethylamine, and trimethylamine N-oxide were decreased below 0.5-fold in the urine. The OPLS-DA showed clear separation of the metabolic patterns before and after exercise in the muscle, plasma, and urine. Statistical analysis showed that after exercise, acetoacetate, arginine, glutamine, hippurate, phenylacetylglycine trimethylamine, trimethylamine N-oxide, and trigonelline were significantly decreased and alanine, glycerol, inosine, lactate, and pyruvate were significantly increased in the urine (p<0.05). Conclusion: In conclusion, we analyzed integrated metabolic patterns in the muscle, plasma, and urine before and after exercise in racehorses. We found changed patterns of metabolites in the muscle, plasma, and urine of racehorses before and after exercise.

• 한국정보과학회논문지:정보통신
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• 제32권2호
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• pp.220-235
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• 2005

인터넷 서비스에 대한 수요가 양적 팽창에서 서비스의 고품질화 둥에 질적 변화 단계로 전환함에 따라 각 인터넷 서비스 제공 사업자들은 보다 높은 기대 수준을 요구하는 고객들을 유치하기 위해 차별화된 품질서비스를 제공하는 등, 다방면으로 노력하고 있다. 이런 시장 환경에 비추어볼 때, 30,000여 개의 공공기관에 1995년부터 초고속 국가망 서비스를 제공하고 있는 한국전산원에서도 국가망 이용기관에게 보다 높은 품질의 서비스를 제공하여 고객만족도를 제고할 수 있는 방안에 대한 검토가 필요하다. 그러나 초고속 국가망 사업은 한국전산원이 전담기관으로서 사업을 총괄하고 일부 사업자에게 투자하는 방식으로 사업을 이끌어 나가는 NP(Network Provider)와 SP(Service Provider)가 다른 모델을 가지고 있다. 따라서 고객만족도의 개선을 위해서는 서비스 공급자인 한국전산원과 네트워크를 구축하는 사업자가 구현한 네트워크 서비스 품질에 대한 고객만족도와 실제 이용기관에서 받고 있는 서비스 품질에 대한 고객만족도에 대한 명확한 측정과 조사를 바탕으로 한 전략적 방향제시가 필요하다. 본 연구에서는 구조방정식을 이용하여 초고속 국가망을 이용하는 기관 성격별로 구분하여 고객만족지수를 산출하고, 이에 대한 비교를 바탕으로 초고속 국가망 서비스에 대한 고객만족도 지수를 일반화한 KIICSI(Korea Internet Infrastructure Customer Satisfaction Index)를 제시하였다. 더불어 고객 그룹별로 만족도 향상을 위한 전략적 정책방안도 제시함으로 초고속 국가망의 고객만족도 평가체계 발전이 기대된다.

• Asian-Australasian Journal of Animal Sciences
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• 제18권7호
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• pp.1036-1040
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• 2005

Near-infrared reflectance spectroscopic (NIRS) calibrations were developed for accurate and fast prediction of whole broiler chicken carcass composition. The Feed and Forage Foss systems Model 5000 Reflectance Transport Model 5000 with near-infrared reflectance spectroscopy (NIRS)-WinISI II windows software was used for this purpose. One equation was developed for the prediction of each carcass component. One hundred and fifty freeze dried broiler whole carcass samples were ground in a Cyclotech 1,093 sample mill and analyzed for dry matter, protein, fat, calcium and phosphate. Samples were divided into two sets: a calibration set from which equations were derived and a prediction set used to validate these equations. The chemical analysis values (mean${\pm}$SD) were calculated based on dry matter basis as follows: dry matter: 33.41${\pm}$2.78 (range: 26.41-43.47), protein: 54.04${\pm}$6.63 (range: 36.20-76.09), fat 35.44${\pm}$8.34 (range: 7.50-55.03), calcium 2.55${\pm}$0.65 (range: 0.99-4.41), phosphorus 1.38${\pm}$0.26 (range: 0.60-2.28). One hundred and three samples were used to calibrate the equations and prediction values. The software used was modified to obtain partial least square regression statistics, as it is the most suitable for natural products analysis. The coefficients of determination ($R^2$) and the standard errors of prediction were 0.82 and 1.83 for the dry matter, 0.96 and 1.98 for protein, 0.99 and 1.07 for fat, 0.90 and 0.30 for calcium and 0.91 and 0.11 for phosphorus, respectively. The present study indicated that NIRS can be calibrated to predict the whole broiler carcass chemical composition, including minerals in a rapid, accurate, and cost effective manner. It neither requires skilled operators nor generates hazardous waste. These findings may have practical importance to improve instrumental procedures for quick evaluation of broiler carcass composition.

• Journal of Biosystems Engineering
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• 제41권3호
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• pp.273-280
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• 2016

Purpose: This experiment was conducted to detect water stress in terms of the moisture content of cucumber seedlings under water stress condition using a hyperspectral image acquisition system, linear regression analysis, and partial least square regression (PLSR) to achieve a non-destructive measurement procedure. Methods: Changes in the reflectance spectrum of cucumber seedlings under water stress were measured using hyperspectral imaging techniques. A model for estimating moisture content of cucumber seedlings was constructed through a linear regression analysis that used the moisture content of cucumber seedlings and a normalized difference vegetation index (NDVI). A model using PLSR that used the moisture content of cucumber seedlings and reflectance spectrum was also created. Results: In the early stages of water stress, cucumber seedlings recovered completely when sub-irrigation was applied. However, the seedlings suffering from initial wilting did not recover when more than 42 h passed without irrigation. The reflectance spectrum of seedlings under water stress decreased gradually, but increased when irrigation was provided, except for the seedlings that had permanently wilted. From the results of the linear regression analysis using the NDVI, the model excluding wilted seedlings with less than 20% (n=97) moisture content showed a precision ($R^2$ and $R^2_{\alpha}$) of 0.573 and 0.568, respectively, and accuracy (RE) of 4.138% and 4.138%, which was higher than that for models including all seedlings (n=100). For PLS regression analysis using the reflectance spectrum, both models were found to have strong precision ($R^2$) with a rating of 0.822, but accuracy (RMSE and RE) was higher in the model excluding wilted seedlings as 5.544% and 13.65% respectively. Conclusions: The estimation model of the moisture content of cucumber seedlings showed better results in the PLSR analysis using reflectance spectrum than the linear regression analysis using NDVI.

• Asia pacific journal of information systems
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• 제17권2호
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• pp.29-47
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• 2007

Owing to the rapid growth of using the Internet, not only click-and-mortar companies but also brick-and-mortar ones have been expanding their distribution channels into online, Moreover, since online channels are more attractive than offline ones in control and maintenance, switching customers into online ones is emerged as one of very important managerial issues in a view of reduction of cost as well as expansion of services. However, the switched customers should be faced by uncertainties which could not have been experienced in offline. Specifically, in online channels, buyers and sellers are separated temporally and spacially and there are always so many kinds of threat for security as well as not enough systems and conventions for them yet. Therefore, trust has been considered as one of the most critical mechanisms for resolution of such uncertainties in online transactions. However, it is not easy to build and maintain the relationships in online since most of them are virtual and indirect generally. Therefore, in order to switch offline customers into online ones, it is very important to make strategies based on identification of the relationship between online transaction and offline trust which has been built in offline business. Generally offline trust, which has been built independent of online, could not include trust for online-dependent activities such as payment security during or after transactions, while most of online trust include it. Therefore, a customer with high offline trust does not always perceive high security and assure safe transactions. Accordingly, while online trust, where technical capabilities for online security is one of main bases, includes control trust implicitly or explicitly, offline trust does not. However. in spite of such clear discrimination and independence between offline trust and perceived security, there can be the significant dependency between these two beliefs. The customers with high offline trust believe that the company would do some activities for online security for customers' safe transactions since it has been believed of doing well for customers' trust. Theoretically, users' perception of security is interpreted as a kind of control trus, which is trust for company's technical control capacities in order to resolve technical uncertainties in online. Therefore, the relationship between two beliefs can be considered as transference from offline trust to another type trust. that is, control trust. The objective of this study is to analyze the effect of offline trust on online transaction uses mediated by perceived security. For this purpose, we suggest a research model based on technology acceptance model (TAM). Reuse intention is adopted as a dependent variable and TAM is modified by adding perceived risk (PR) as well as two beliefs of using Internet banking, perceived usefulness (PU) and perceived ease of use (PEOU). Moreover, perceive security (PS) is adopted as an external variable for PR and PU, while offline trust (OT) is an antecedent of PS. For an empirical test, sampling from 108 visitors to the banks in Daegu, Korea, we analyze our model by partial least square (PLS) approach. In result, our model is shown to explain 51.4% of the variance in reuse intention and all hypothesis are supported statistically. A theoretical implication of this study is to identify a role of PS between offline trust and reuse intention of using online transaction services. According to our result, PS can be considered as a mediation variable for bridging between two different concepts: trust that explains social aspects of customers and companies, and TAM that explains customers' reuse intention.

• 한국식품과학회지
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• 제43권4호
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• pp.419-425
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• 2011

머스크멜론의 저장온도 차이에 따른 저장 중 미세한 향기성분의 변화를 질량분석기 기반 전자코를 이용하여 품질 변화 정도를 판단하였다. 저장기간이 증가함에 따라 향기성분이 변화하면서 휘발성분이 증가하였는데, 판별함수분석 결과 DF1값이 99.8%로 큰 영향을 받았으며 향기성분의 변화가 크게 나타날수록 DF1 값이 음의 방향으로 이동하였다. 이후 DF1 뿐만 아니라 DF2도 음의 값으로 변하면서 저장 초기와는 확연히 다른 향기성분의 변화가 일어난 것으로 판단된다. 0$^{\circ}C$ 저장에서는 28일, 4와 7$^{\circ}C$에서는 21일, 10$^{\circ}C$에서는 14일까지 저장 초기와 유사한 향기성분을 나타났으며, 이는 저장 온도가 낮아질수록 휘발성분의 변화가 적게 일어났다. 이러한 향기성분의 변화는 머스크멜론이 저장 중숙기가 지나고 노화가 진행되어지면서 일어난 것으로 유추된다. 또한 전자코로 분석한 DF1 값을 이용하여 일반성분들(비타민 C 함량, 꼭지 수분함량, 산도)의 저장 중 경향도 예측 가능 하였다. 머스크멜론의 저장 중 변화하는 전자코의 mass spectrum에 나타난 주요 향기성분은 이미 보고된 GC/MS의 분석 결과와 유사한 ethyl acetate, butyl acetate, nonanol, dodecanoic acid, hexadecanoic acid, tricosane과 같은 성분들로 나타났으며, 저장 중 전자코에 감지되는 양은 계속적으로 증가하였다.

• 유통과학연구
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• 제16권8호
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• pp.79-89
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• 2018

Purpose - This research aims to investigate the factors that influence consumer's overseas online shopping behavior. Consumers adopt overseas online shopping as a new buying way and more and more consumers prefer overseas online shopping than traditional shopping ways. Consumers' behaviors in this shopping experience can be different from other shopping experiences. With the increase of overseas online shopping, we need to find antecedents and results of overseas online shopping. Especially there would be positive or negative factors which influence overseas online shopping motivation. To find the relationship, this study examines self-efficacy and impulsivity as major factors which influence overseas online shopping. We also suggest that several attitude factors increase self-efficacy and it is positively related to customer satisfaction. On the other hand, we assume that overseas online shopping factors influence impulsivity of buying and it will decrease customer satisfaction. Research design, data, and methodology - This empirical study data were collected from Korean people who experience overseas online shopping. The subjects for this study were confined to shoppers who used overseas online shopping within the past six months. A total of 267 responses were gathered. SPSS 23.0, PLS 2.0 software were used in the data analysis. Descriptive statistics were used to show sample characteristics. We examined reliability, validity test for constructs. All measurement items used seven-point scales(1= very strong disagree, 7 = very strongly agree) drawn from previously published papers. Partial Least Square method was applied to find the relationship between antecedent factors and dependent factors and hypotheses were estimated. Results - Results show that perceived superiority, perceived ease of use, perceived transaction safety, perceived behavioral control positively affect self-efficacy. Self-efficacy influences positively to consumer's post purchase satisfaction. Perceived monetary benefit and perceived uniqueness motivated impulse buying. This can make consumer's post purchase dissatisfaction. Conclusions - This paper attempted to confirm the existence of both the positive and negative faces of overseas online shopping. The result reveals that self-efficacy is a major factor which may increase satisfaction in the overseas online shopping. Usually, we can think monetary benefit and uniqueness of products motivate overseas online shopping. But it can also intrigue impulse buying and negatively affect customer relationship. Therefore companies should provide enough products information to their potential customers and they might apply adequate processes such as recommendation, comparing systems to build long term relationship with their customers.