• Journal of Nutrition and Health
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• 제20권6호
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• pp.442-455
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• 1987

The purpose of the study were to assist foodservice managers in complex decision making by utilizing computerized cost accounting system and to relieve managers from repetitive and routine tasks so that more adequate patient care and consultation can be provided. The scope of the computer-assisted cost accounting system consists of budget, menu planning, purchasing, inventory, cost control and financial reporting. The content of the computerized system are summarized as follows ; 1) For budgeting monthly income was estimated by calculating unit cost of each meal and forecasting serving numbers. The actual serving numbers for patients and employees were totaled everyday, and utilized as the basic data base for estimating income and planning menu. The monthly lists of meal sensus were generated. 2) for menu planning concersion factors were computed based on the standarized recipe for 50 servings. Daily menus for patients and employees which include total amounts of each ingredient and cost analyzed information were generated. 3) Daily and monthly purchasing report for each food item classified by patient and employee meals were generated. 4) Inventory transactions such as recipts and issues were totalized daily for each stocked item, and monthly inventory reports were generated. 5) Cost analysis reports for each menu item were generated into two ways based on the budget coat as well as the purchasing cost. 6) Editing new recipes and updating food costs change to the data base were carried out. 7) Financial reports were generated monthly, first-half and second-half of the year, and yearly basis.

• 한국지능시스템학회논문지
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• 제13권5호
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• pp.530-538
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• 2003

최근 마케팅 업계의 동향을 보면 기존 고객 유지에 대한 필요성을 중요시하면서, 타깃 마케팅의 개념에 의한 고객집단의 세분화된 분류와 각각의 세분화된 고객집단에 대한 차별적인 대응이 요구되고 있다. 본 논문에서는 신경망과 연관규칙의 Cumulate 알고리즘을 이용하여 고객집단을 분류하고 고객집단간의 구매패턴을 분류하는 시스템을 구현하였다. 실제 특정 두 집단간의 연관규칙을 조사한 결과 서로 간에 비슷한 연관규칙이 있음을 알 수 있었고, 마케팅 의사결정을 위해 우량／일반 고객집단으로 분류해야 할 필요성이 있음을 밝혔다. 따라서 고객집단의 분류에 있어 예측율의 정확성을 높임으로써 차별적인 마케팅의 효율을 극대화 할 수 있음을 보였다.

• 한국컴퓨터정보학회논문지
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• 제26권1호
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• pp.275-281
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• 2021

본 연구의 목적은 인공지능예술작품 구매할 때 소비자들이 어떤 감지가 있는지, 그리고 구매의 향과 어떤 관계가 있는지 살펴보는데 있다. 본 연구에서 고객감지가치가 제품감지가치, 서비스감지가치 그리고 사회감지가치 총 3가지를 제시하였다. 이를 바탕으로 고객감지가치와 구매의향 간의 모델을 구축하였다. 연구를 위해 데이터 수집은 온라인 설문 조사를 실시하였다. SPSS24.0와 AMOS24.0을 통해 수집한 데이터의 신뢰성, 타당성 및 구조 방정식 분석을 통해 가설 검증을 하였다. 검정결과를 보면 제품인지가치와 서비스인지가치는 소비자의 온라인 구매의향에 긍정적인 영향을 미친다. 그러나 사회인지가치가 소비자의 구매의향에 영향을 주지 않는 결과가 나타났다.

• 웰빙융합연구
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• 제7권2호
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• pp.31-37
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• 2024

Purpose: Pop-up stores have emerged in the retail industry in recent years, offering consumers a new shopping experience for a limited time and location, and are used for a variety of purposes, including driving purchase behavior. In particular, they have become an important marketing tool among Gen MZ consumers who are quick to acquire information and sensitive to trends. Therefore, this study aims to analyze the impact of pop-up store characteristics on the purchasing behavior of MZ consumers. Research design, data and methodology: Based on a qualitative research approach, the study analyzed successful pop-up stores in Korea to closely examine how the limited operating period and experience-oriented marketing strategy of pop-up stores affect the perceptual attitudes and purchase decision process of Generation MZ. Results: The results of the case study revealed that selling limited edition items, maximizing customer experience factors, and differentiated concepts are the main factors that positively influence the purchase behavior of Gen MZ consumers. These factors contribute to the enhanced purchasing behavior of Gen MZ, making pop-up stores an effective marketing strategy. Conclusions: Pop-up stores are more than just a sales space, but an important communication channel that can strengthen the emotional connection with Gen MZ and effectively communicate brand values. This study provides useful insights for brands and companies to develop marketing strategies for MZ.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.197-199
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• 2014

모바일의 확산으로 인한 SNS 서비스의 이용이 날로 증가하고 있다. SNS의 서비스는 통신과 Social 기능으로 인한 많은 이점과 사용자들에 대한 유익한 측면을 가지고 있으나, 반면에 이로 인한 피로감과 같은 부정적인 측면이 있다. 소비자가 상품을 선택할 때 비용과 혜택을 충분히 고려하고 상품과 서비스 이용에 대한 의사결정을 내린다는 점에서 본 연구는 SNS가 가져오는 유익한 측면과 피로감 또는 경제적인 추가 비용의 부담과 같은 부정적인 측면을 비용의 범주로 고려하여 SNS가 가지고 있는 유무형의 가치를 평가하고자 한다.

• 한국정보시스템학회지:정보시스템연구
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• 제10권1호
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• pp.51-72
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• 2001

E-commerce has not only brought about a great change in the way we exchange goods and services but also revolutionized the way we handle business transactions. In addition, it has a significant influence upon the present business structure, and most of firms in service industry as well as manufacturing are considering adopting E-commerce in a serious manner. Most vessels purchase merchandises through a number of shipping agents. As the amount of harbor materials increase, the number of vessels and their navigation frequency also increase. As a result, the amount of procurement for ships has increased. Traditional means such as telephone and fax to handle ever-increasing harbor transaction, however, has proved to be very time-consuming and cost ineffective. Therefore, people are starting to look for more effective ways. In this paper, an internet-based scheme of B2B transaction is proposed to handle procurement problem between shipping agency and shipping company, and between vessel and suppliers as a more effective approach to streamline such problems. We extract problems of shipping agency through task-analysis and present a scheme that performs decision making and procurement as a system agent with brokering structure. Purchaser and supplier are offered material information rapidly and task loads are minimized by the scheme. Also, the system can support decision making of purchasing goods, and information is shared among purchaser, supplier and system through the system interface.

• 패션비즈니스
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• 제5권4호
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• pp.37-55
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• 2001

This study put its major concern in consumer behavior during a purchase of fashion products through the Internet marketing channels. Therefore, it investigated the Internet shopping and tried to find the reasons why clothes shopping through the Internet marketing channels is not popular enough. Then, alternative marketing strategies would be suggested which is accessible from the relationship marketing approach. The study adopted a qualitative research method to implement those purposes. In-depth interviews were conducted with the interviewees who had an experience of buying a fashion merchandise through the Internet or who had such an intention. And the information on stages of decision-making process and actual purchase was obtained by participating in and observing the process. The results revealed stages of decision-making in purchasing a fashion product through the Internet channels, the process of relationship development, and the elements of relationship marketing which affect purchase intention. The elements of relationship marketing to promote a purchase of a clothing product via the Internet marketing channels included convenience; communication and socal experience; sensual information; risk acknowledgement and pursuit for safety; and usage of complexed marketing channels. Based on these, a few strategic points such as remote reality, database of communication basis, strengthening individualized services, and development of complex marketing channels were suggested.

• 유통과학연구
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• 제17권10호
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• pp.73-81
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• 2019

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

• 한국식생활문화학회지
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• 제9권4호
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• pp.379-394
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• 1994

본 연구의 결과를 요약하면 다음과 같다. 1. 무공해식품의 구매동기로는 건강상의 이유(4.43/5점)가 가장 높았으며, 그 다음으로 영양가의 이유(4.01), 맛의 이유(3.39)의 순으로 나타나 무공해식품이 지닌 장점이 곧 소비자의 구매동기로 작용하고 있었다. 2. 첫번째의 무공해식품의 주정보원은 TV 라디오(65.1%)이었으며, 2위는 신문과 잡지(35.4%), 3위는 가족 친구 친지의 조언 상담(26.1%)으로 나타나 매스컴은 주요한 무공해식품의 정보원으로 활용되고 있었다. 3. 무공해식품의 구매시 전반적 고려정도(3.97/5점)가 상당히 높았고, 7가지 고려사항이 모두 높게 나타나 이 7가지 사항이 평가기준으로 활용되고 있었으며, 특히 위생상태와 신선도(4.37/5점), 영양가(4.13), 안전성(3.99)을 상당히 고려하는 것으로 나타났다. 또한 무공해식품의 의견선도자는 매스컴(53.5%)이었으며, 구매시 자녀(50.6%)와 남편(34.3%)을 고려하여 구매하는 경향이었다. 4. 첫번째로 이용하는 구매장소는 슈퍼마켓(67.9%)이었으며 두번째의 장소로는 백화점(42.1%), 세번째로는 시장(35.5%) 및 인근가게(27.0%)로 나타났다. 또한 구매시 전반적 확인정도는 높았으며, 확인사항으로는 유통 보존기한(4.63)과 제조일자(4.59), 포장의 손상여부(4.47)는 반드시 확인하고 구입하는 경향이었으나, 제조회사명(3.83)을 확인하는 경우가 다소 낮았으며, 환경마크 및 품질보증표(3.91)와 식품첨가물(3.96)도 확인하는 경향이 높았다. 5. 구매 후 전반적 불만족도는 그다지 높지는 않았으나, 가격(4.03), 제품함량 부족(3.61), 성분과 제조날짜의 표시 미기재 및 불명확(3.45, 3.23)에 대해서 다소불만족한 것으로 나타났다. 6. 무공해식품의 전반적 고려정도와 확인정도에 영향력을 미치는 가장 큰 변수는 무공해식품에 대한 관심도이었으며 그 다음으로는 주택유형이었다. 또한 전반적 불만족도에 가장 큰 영향 변수로는 소득으로 나타났으며, 그 다음으로도 주택유형으로 나타났다. 즉 무공해식품의 관심도가 많고 아파트에 거주하는 집단에서 무공해식품의 구매시 고려정도와 확인정도가 높으며, 소득이 많고 아파트에 거주하는 집단에서 무공해식품에 대한 전반적 불만족도가 높았다.

• 한국건축시공학회지
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• 제11권3호
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• pp.238-246
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• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.