• Journal of Nutrition and Health
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• v.53 no.5
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• pp.547-561
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• 2020

Purpose: This study was conducted to segment the delivery food market and to develop customized products and services. Methods: This study analyzed 636 responses collected from customers who ordered delivery food. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ²-test, one-way analysis of variance, factor analysis, and cluster analysis. Results: Four factors were extracted by exploratory factor analysis (safety-orientation, convenience-orientation, taste-orientation, and economy-orientation) to explain the consumers' food-related lifestyles. The results of cluster analysis indicated that the 'low-interest group', 'convenience and economy-oriented group', and 'gourmet and economy-oriented group' should be regarded as the target segments. Characteristic analysis of each cluster showed that lowinterest group had higher rates of married (67.1%) and living with family (85.4%) than other clusters. The convenience and the economy-oriented group had higher rates of living alone (28.9%) than others. The gourmet and the economy-oriented group had a higher percentage of unmarried (62.0%) than the others. In addition, the average age of convenience and economy-oriented group (32.3 years) and gourmet and economy-oriented group (32.5 years) were significantly lower than the safety seeker (40.0 years) (p < 0.001). Difference analysis of the consumption practice according to the cluster, revealed significant differences in the order frequency (p < 0.001), main day to order (p < 0.05), source of information about delivery food (p < 0.001), order method (p < 0.001), and co-consumer (p < 0.01). In addition, the convenience and the economy-oriented group had significantly higher overall satisfaction than the others (p < 0.001). Conclusion: These findings suggest that customer segmentation based on a food-related lifestyle can be used to build a successful marketing strategy. Therefore, restaurant managers and delivery platform operators should consider developing products and services according to the segmentation to maximize customer satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.233-247
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• 2011

With recent increase in growth without employment and unemployment rate, Business Incubator (BI), which is the birthplace of business start-up, is drawing much attention. Therefore, numerous studies had been carried out from the perspectives of efficient operation and performances of BI. Preceding studies at home and abroad were concentrated mainly on the effect of Critical Success Factors of BI on performance, or on internal operational programs or support services of BI. Recently, assertion that potential capacity of companies located in BI at the time of their commencement of occupancy imparts effect on the performance has been presented. Therefore, this Study, in order to pursue research on above issues, will, firstly, analyze the effect of the characteristics of evaluation of companies wishing to be located in BI conducted by each BI, and, secondly, regulation effect of characteristics of evaluation of companies wishing to be located in BI imparted on performance in connection with the work capabilities of BI and capabilities of manager. The results of analysis illustrated that the expertise, among the capabilities of CEO, imparts affirmative effect on the success rate of business start-up. Product competitiveness and marketability displayed affirmative effect on the success rate of business start-up when work capability (operational intensity) is applied. In particular, although the financing capability of CEO of the company located in BI, as an important factor, imparts negative effect on the success rate of business start-up, it implies affirmative regulation effect through the capabilities of manager.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 2005.05a
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• pp.231-234
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• 2005

본 실험은 돈육 후지 부위를 이용하여 육포 제조시 텀블링 시간에 따른 육포의, 이화학적 및 관능적 특성을 조사하여 표준화된 육포제조의 기초 자료를 제공하고자 실시하였다. 텀블링 시간에 따른 건조전 육포 양념육의 제품수율은 30분까지는 수율이 유의적으로 증가하는 경향을 보였으나, 60분 동안 텀블링을 실시하였을 때는 30분보다 낮은 값을 나타내었다. 텀블링 시간에 따라 pH는 차이가 없었으나, 보수력은 텀블링 30분까지 유의적으로 증가하였고 이후 부터는 차이가 없었다. 육색은 텀블링 시간이 경과함에 따라 $L^{\ast}-$값과 $b^{\ast}-$값은 감소하는 경향을 보였으나 반대로 $a^{\ast}-$값은 텀블링 시간이 증가함에 따라 점점 증가하는 경향을 보였다. 건조후 제조된 돈육육포의 수분함량은 $29{\sim}30%$ 정도를 유지하였으며, 건조수율은 모두 $48{\sim}49%$ 정도의 높은 수율을 보였다. 육포의 $L^{\ast}-$값은 30분 및 60분 동안 텀블링을 실시하였을 때 10분 동안 텀블링을 실시한 육포보다 낮게 나타났다. 60분 동안 텀블링한 육포의 $a^{\ast}-$값은 10분간 텀블링한 것보다 높았으며, $b^{\ast}-$값은 $a^{\ast}-$값과는 반대의 경향을 나타내었다. 탄력성(springiness)은 60분 동안 텀블링한 육포가 10분 동안 텀블링한 육포보다 높은 값을 보였으나, 탄력성을 제외한 모든 항목에서 유의차가 나타나지 않았다. 관능검사는 모든 항목에서 30분 이상 텀블링한 육포가 좋은 평가를 받았으나, 처리구간에 유의차는 나타나지 않았다.pm을 spiking한 후 SPE상에서 SCX(Strong cation exchange column)을 통한 clean-up과정을 거친 후의 STP의 limit of quantification(LOQ)는 약 0.44ppm이었으며, 이에 대한 회수율은 89.7${\pm}$2.3%(n=6)를 나타냈다. 실제 CODEX에서 권장한 우유의 MRL이 0.6ppm인 점을 감안하면 CODEX권고치에 도달할 수 있는 것으로 판단되었다. 따라서 본 연구에서 개발 된 시험법은 지금까지 국내적으로 STP에 대한 시험법이 확립되어 있지 않은 것으로 이와 아울러 간편한 parallux와 병용해 STP에 대한 정량 및 정성 분석을 유도체화 장치 및 형광검출기를 이용해 잔류항생물질 STP에 대한 분석시험법을 개발하였다.화와 네트워크 조직망 구축을 위한 지역중심의 복합 생활문화 공간이 필요할 것이며, 이를 촉진키 위한 mentor academy시스템 접근을 통해 점점 고령화되어 가고 있는 재래시장에 대해 차별적 특성이 반영된 종합적이고 체계적 접근 방법연구가 필요하다./TEX> 자체기술개발, 선진기술 도입, 산업간 및 산업내 기술확산, 국제기술협력 ${\rightarrow}$ 기술혁신의 촉진 ${\rightarrow}$ 총요소생산성과 기업경쟁력(자원 및 역량, 프로세스 경쟁력, 품질경쟁력, 시장경쟁력, 고객성과, 시장성과, 재무성과)의 제고 ${\rightarrow}$ 가격경쟁력(임금, 금리, 물류비용, 환율 등)과 비(非)가격경쟁력(디자인, 에프터서비스, 품질, 운송 등)의 제고 ${\rightarrow}$ 국가경쟁력의 제고 ${\rightarrow}$ 국제수지 흑자 ${\ri

• Journal of Digital Convergence
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• v.15 no.11
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• pp.251-259
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• 2017

Recently, the smart healthcare industry that grafted the Internet of Things (IoT) onto the healthcare and medical services is being highlighted. Smart healthcare refers to the healthcare and medical services offered on the basis of information communication technologies including application, wearable devices and platforms, etc. The number of next generation smart healthcare devices are increasing in the smart healthcare industry through the combination of information technology (IT) and Bio Technology (BT), which are the most active areas among the 6T, which are the areas of the next generation industry. With the emergence of a diverse range of smart healthcare systems or devices, whether the smart healthcare system can be linked with other systems organically and the security and quality of the system have become important elements of evaluation. In this Study, the characteristics and service types of smart healthcare systems were examined, and the trends in the technology and industry of the smart healthcare system were analyzed. Moreover, this Study aims to develop the evaluation method for security and standards for quality evaluation by deducing the factors for the evaluation of smart healthcare system on the basis of the results of aforementioned examination. It is anticipated that this can induce improvement of quality and development of highly reliable products of a smart healthcare system, and will become the core technology to substitute the technology protection barrier.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.175-191
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• 2017

The basis of economic statistics for evaluating the security industry's growth and inter-industry impacts is to create a standardized industry classification along with the scope of the security industry. The industrial classification should be written in such a way that it complies with and complies with the standards of the international and domestic standardized standard industrial classifications. Representative classifications of information security, physical security, and convergence security as well as classification of products and services related to security at present are not in line with the criteria of industrial classification based on the characteristics of production activities for products. The results of the convergence security industrial classification study are also consumer-oriented classification, which differs from the supplier-centric classification officially used in statistics, law, and policy enforcement in the present country. In this study, we first summarized the criteria of Korean and international industrial classification, and then examined whether the current classification of security meets these criteria. Next, to examine the classification directions of newly formed industries such as security industry, we reviewed some cases of domestic industrial special classification and types, and proposed the industrial classification criteria and direction of the security industry on the basis of them.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.27-38
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• 2018

The purpose of this study is to find out common investment decision factors for CVC's invested technology-based startups and analyze them. We examined 17 CVCs that invested in technology startups for three years and six months from 2015 to June 2018. As a result, the final 9 CVCs that can be used in this study were confirmed and 188 companies were analyzed. This study was conducted as a case study to propose and demonstrate CVC investment objectives and investment decision factors analysis model. The results of this study are as follows. First, CVC focused on strengthening investment. Second, In 2015, Invested in an average of 19 months of technology-based startups. In recent years, we invested in 36 months of proven technology-based startups. Thirdly, ICT service was the main business type of the invested startups. Fourth, the investors were concentrated on the stage of Series A~B. It is observed that CVC investment determinants have a significant impact on product or service and parent company relations. In addition, it was found that factors such as innovation, business planning competency, enterprising, strategic competency, leadership, and opportunity recognition competency were influential factors for the startups of invested companies and it was found that these factors are important for CVC investment decision. Understanding of CVC investment determinants presented in this study is based on the establishment of the investment process of the investee, entrepreneurship and management education program. The results of this study can be applied to the selection of excellent startups, entrepreneurship education programs, mentoring, development of coaching guidelines, and establishment of investment process of other investment institutions when investing in CVC.

• Journal of Nutrition and Health
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• v.44 no.3
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• pp.243-254
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• 2011

The purpose of this study was to investigate the general characteristics, body shape, and perceptions of weight control in individuals consuming functional health foods and weight-control foods. The survey was conducted between April 15 and June 17, 2010 among 199 (57 males and 142 females; age range, 25-45 years) in Seoul and Gyeonggi-do, who experienced eating functional health foods or weight control foods during the past year (June 2009 to June 2010). The subjects were divided into a weight-control food group (89 adults) and a functional health food group (110 adults). The subjects were comprised of a high proportion of aged (average age, $34.2{\pm}5.9$ years), graduates (71.9%), and married (65.8%) individuals. In the weight control food group, gender, age, and educational background were similar and the ratios of service/technical employees, college students, and normal-weight individuals [body mass index (BMI), < 23] were high. BMI was significantly different by gender (p < 0.001), age (p < 0.01), marital status (p < 0.001), and job type (p < 0.001). Self-perceived health status showed a higher response for "in good health" in the 35-44 year old group than that in the 25-34 year old group (p < 0.05). Male group satisfaction for body shape was significantly higher than that in the female group. The main reason for going on a diet was significantly different by gender (p < 0.05) and BMI (p < 0.01). The main motives for dieting were "because I am not at an ideal weight" and "because of the social atmosphere and the attention of others " in men, but "can't wear the clothes I want" in women (p < 0.01). The most preferable product type related to the two groups was significantly different by job (p < 0.001) and BMI (p < 0.05). However, no significant differences were observed for questions about body shape perception and weight control. Consumers who had different general characteristics and used diet products perceived body shape and weight control differently. Additionally, no meaningful differences were observed when the results were categorized by product type, except job and BMI, but the distribution of consumer characteristics showed different tendencies. These results can be utilized as basic data for developing new diet products to help people control their weight more scientifically and appropriately in the future.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.41-50
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• 1999

최근의 CALS 시스템 구축 가속화 및 전자상거래 활성화 분위기는 정보기술의 전략적 활용의 초점을 개별기업 위주에서 기업간 협력체제 구축과 이를 바탕으로 하는 기업간 전자적 결합(Electronic Integration)으로 옮기고 있다. 우리는 정보기술의 공유를 기반으로 새로운 기업간의 관계를 구축할 수 있으며, 이러한 관계를 전략적으로 활용함으로써 기존 사업에서의 경쟁우위 뿐만 아니라, 새로운 사업기회를 창출할 수 있다. 관련기업간의 데이터 표준화를 통한 정보의 공유는 CALS 시스템 구축의 바탕이 된다고 할 수 있는데, 정보공유의 범위는 산업별 특성과 제품별 특성에 따라 달라질 수밖에 없으며, 관련기업간의 교섭력(Bargaining Power)에 의해서도 영향을 받게된다. CALS 환경에서는 개별기업의 정보전략에 따라 수직적 협력관계에 있는 기업들간의 정보공유 정도와 수평적 협력관계에 있는 기업들간의 정보공유 정도가 결정된다고 할 수 있다. 정보공유의 범위를 설정하는 데에는 기업간에 이루어지는 업무의 성격, 공급-제조-유통으로 연결되는 관련기업간의 구조 등도 크게 영향을 미치는 것으로 파악되고 있다. 이 연구에서는 CALS 시스템 구축과정에서 우리가 고려할 수 있는 정보공유의 범위를 관련업무공유, 시스템공유, 부품 설비공유, 시설공유 등의 관점에서 분석하여 봄으로써, 각 산업별로 진행되고 있는 시범사업들의 시스템 영역의 범위를 재조명해보고자 한다. 이 연구에서 집중적으로 다루게 될 정보공유의 범위에 대한 내용은 CALS 시스템을 개발하려는 기업들의 응용서비스 개발 및 정보전략 구축에 중요한 공헌을 할 수 있을 것으로 기대된다.진" 사업에 대한 표준 설정을 위하여 노스캐롤라이나주 지방보건소의 "보건교육/건강증진" 표준체제를 예로 들었다. 다음으로, 경제적인 효율면에서 볼 때 "보건교육/건강증진" 사업에는 단기 혹은 장기 투자가치가 있는가 하는 것이다. 새로 태어나는 미국 지방 보건소의 "보건교육/건강증진" 활동은 지역 시민 및 그 단체가 광범위하고도 자연 다발적으로 참여할 때만 성공할 수 있다고 결론 지울 수 있다.한 분야별 전문가시스템 개발을 지양하고 MCRDR이론을 기반으로 한 범용성 있는 전문가시스템 개발 툴의 개발에 관한 연구를 소개한다. 후 새로운 지식을 얻는 반복적인 Explanation-based Data Mining Architecture를 제시하였다. 본 연구의 의의로는 데이타 마이닝을 통한 귀납적 지식생성에 있어 귀납적 오류의 발생을 고메인 지식을 통해 설명가능 함을 보임으로 검증하고 아울러 이러한 설명을 통해 연역적으로 새로운 가설지식을 생성시켜 이를 가설검증방식으로 검증함으로써 귀납적 접근과 연역적 접근의 통합 데이타 마이닝 접근을 제시하였다는데 있다.gical learning to give information necessary to improve the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projec

• Informatization Policy
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• v.29 no.1
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• pp.38-59
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• 2022

The development of IT technology and the spread of smartphones are having a great impact on businesses and consumers. Consumers have been able to acquire more diverse and larger amounts of information than in the past due to information provided through smartphones and information search on the internet, which has a significant influence on decision-making. Companies have also become sensitive to such changes in consumer behavior patterns, reflected in their marketing. In addition, among the various characteristics of smartphones, location-based technology has become an important factor in providing targeted marketing from a company's point of view. Such technological development and social change have led to the expansion of the mobile advertising market, which promotes products or services based on the location of consumers and provides benefits such as discount coupons. In this study, we have analyzed the influence of consumer characteristics on intention to use in mobile location-based advertising, which has become an important marketing method in the mobile advertising market. The effects of variables of personalization, engagement, coupon proneness, economic efficiency, and irritation on attitude and information privacy concerns were analyzed, and the effects of attitude and information privacy concerns on intention to use were analyzed. The results of this study are deemed to be able to suggest factors to consider when providing mobile location-based advertising to consumers in the future.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.325-345
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• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.