• Journal of Information Technology Applications and Management
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• 제23권4호
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• pp.101-116
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• 2016

In this paper, we suggested a model that reflects the role played by the consumer's regulatory focus (promotion focus and prevention focus) as determinant factors of trust in the Web site. Also, we considered the moderating effects of consumers' purchasing experience toward online shopping. We conducted a two-month survey of 230 individuals using online shopping sites for hypotheses testing. The study results are summarized as follows. Firstly, promotion focused consumers showed higher trust to a web site compared to prevention focused consumers. Secondly, the moderating effect of purchasing experience between regulatory focus and consumer trust to a web site is statistically significant. The effect of a prevention focused consumers on consumer trust to a web site is stronger when purchasing experience toward online shopping is high compared to low. Based on these findings, this study presents practical and academic implications of the research.

• 한국정보시스템학회지:정보시스템연구
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• 제21권3호
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• pp.117-136
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• 2012

Given to the prevalence of social commerce such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing behavior in social commerce environments. When consumers make purchasing decisions in social commerce, they often act impulsively. This is because social commerce is a deal-of-the-day website that features discounted gift certificates usable at local companies. However, the vast majority of social commerce research has viewed consumer decision-making as a rational process. This study develops a theoretical framework to investigate key drivers of customer's impulsive purchasing in social commerce. This study identifies flow, positive emotion, negative emotion, social commerce attractiveness, and discounted price as the key antecedents of impulsive purchasing. Data collected from 164 users who had prior purchasing experiences with social commerce were empirically tested against the research model using partial least squares analysis. The analysis results indicate that flow plays an important role in facilitating customers' impulsive purchasing in social commerce environments. Moreover, the findings show the exact roles of positive emotion, negative emotion, social commerce attractiveness, and discounted price on consumer's impulsive purchasing.

• 한국실내디자인학회논문집
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• 제19권3호
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• pp.154-161
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• 2010

Domestic distribution environment in Korea has rapidly and qualitatively been developed due to the open of distribution market. However, the function of commercial establishment goes beyond the place value that simple transaction of capacity takes place, and it is recognized as life groove space enhancing the satisfaction of costumers' purchasing pattern. For this reason, there has been the need to change the purchasing environment of commercial space. The change factors of commercial space contributed to the establishment of consumption identity formed by change of consumers' lifestyle and the purchasing pattern. It is necessary to see the change factors of the purchasing pattern as the conversion of distribution environment in terms of supplier and as the change of consumers' lifestyle in terms of consumers. In reality, however, the commercial facility ill-imitated the advanced model and qualitatively was developed. In this situation, the change of the purchasing pattern according to the conversion of facility is needed as an early stage. The purpose of this study is to analyze the overflow supply of commercial facility. Also It will discuss the plan characteristics of commercial space conversion of facility conforming to the change of the purchasing pattern that is predicted in the lifestyle on a conversion stage of facility.

• 대한안전경영과학회지
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• 제21권4호
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• pp.7-15
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• 2019

This paper proposes the FMEA-based model to avoid backdoor transactions when purchasers select suppliers for products and services. In the model, backdoor transactions consist of two categories: backdoor selling and maverick buying. Both of which influence negative effects on cost savings due to not only uncompetitive advantage but also unusable purchasing leverage by unethical and misbehavior of purchase requestors. For the risk evaluation based on FMEA, three and five risk types of backdoor selling and maverick buying are identified respectively. Current risk priority numbers(RPN) based on those risk types are calculated by three categories: occurrence, detection and severity. Six risk mitigation strategies and fourteen mitigation tactics are identified to improve current RPN. In order to validate the model, questionnaires are collected from fifteen companies and statistically analyzed. The analysis result shows that the model reduces backdoor transaction risks and has no differences in reduction of backdoor transaction risks regardless of the type of purchasing organization units and existence of purchasing procedures in the organization.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.449-455
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• 2002

This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

• 한국응용과학기술학회지
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• 제38권6호
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• pp.1502-1511
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• 2021

본 연구는 골프 광고 모델의 휴먼브랜드 영역이 확장되면서 일어나는 현상에 대해 분석하고자 2021년 7월 1일 ~11월 15일까지 표본계획에 의해 모바일 서베이(URL)를 사용하여 521명을 인과 관계(SEM)를 적용 분석하였다. 첫째, 골프 광고 모델의 휴먼브랜드는 적합성에 통계적으로 유의미한 정(+)의 영향으로 가설이 채택되었다. 둘째, 적합성은 구매행도에 통계적으로 유의미한 정(+)의 영향으로 가설이 채택되었다. 셋째, 골프 광고 모델의 휴먼브랜드는 구매행동에 통계적으로 유의미한 정(+)의 영향으로 가설이 채택되었다. 마지막으로 부트스트레핑(bootstrapping)을 통해 간접효과를 산출한 결과 휴먼브랜드와 구매행동의 관계에서 적합성의 간접효과는 통계적으로 유의하다고 볼 수 있다.

• 산업경영시스템학회지
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• 제25권1호
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• pp.42-48
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• 2002

This paper addresses the necessity of integration between buyer and suppliers for effective implementation of Just-In-Time purchasing in a multi-item environment. An integrated inventory model of facilitating multiple shipments in small lots is developed. Also, an iterative solution procedure is developed to simultaneously find the order(contract) interval for each item and number of shipments between buyer and suppliers. We show by example that when the integrated policy is adopted by both buyer and suppliers in a cooperative manner, both parties can benefit.

• 지능정보연구
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• 제17권4호
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• pp.95-108
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• 2011

인터넷 비즈니스의 활성화에 따라서 기업은 고객의 인물정보 및 거래정보를 활용하여 보다 맞춤화된 개인화 서비스를 제공하고 있다. 기존의 고객군별 예측기법은 유사한 고객들을 군집화하여 고객군별로 예측모델을 수립하는 것으로, 구매가 많고 충성도가 높은 핵심고객에게 요구되는 일대일 서비스를 제공하는 데는 한계가 있다. 반면 일대일 고객별 예측기법은 각 고객에게 고도로 맞춤화된 서비스를 제공하지만, 과거 구매이력이 많지 않은 고객 이나 신규 고객에게는 정확한 개인화 서비스를 제공하지 못한다. 본 연구는 고객의 구매빈도에 따라서 유사 고객들과의 군집화 수준을 동적으로 조정하는 새로운 지능형 개인화 시스템을 제안한다. 제안된 시스템은 과거 구매가 많은 고객들에 대해서는 일대일 예측모델을 수립하지만, 구매 빈도가 낮은 고객의 경우 다른 고객들과의 최적화된 군집화를 통해 예측모델을 수립한다. 본 기법을 Neilsen의 음료수 구매 데이터셋에 적용하여 고객의 일회 구매금액 및 구매품목을 예측한 결과, 기존 두 예측기법들에 비하여 적정한 계산비용(computational cost)으로 더욱 정확한 개안화 서비스를 제공할 수 있음을 확인하였다.

• 수산경영론집
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• 제48권3호
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• pp.47-59
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• 2017

Fish mortality is the most important success factor in aquaculture management. To order fingerlings considering the effect of mortality is a important problem in aquaculture farm. This study is aimed to decision the number and size of fry in aquaculture farm. This study build the mathematical model that finds the value of decision variable to minimize total cost that sums up the fingerling purchasing cost, aquaculture farm operating cost and feeding cost under mortality constraint. The proposed mathematical model involve biological and economical variables: (1) number of fingerlings (2) fish growth rate (3) mortality (4) price of a fry (5) feeding cost, and (6) possible order period. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

• 산업경영시스템학회지
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• 제42권4호
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• pp.153-164
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• 2019

Since the appearance of smartphones, the smartphone market has been in fierce completion by new technologies and marketing trends. The smartphone market is now somewhat saturated, and the manufacturers are trying to improve their position in the market through the repurchase of existing customers and the influx of competitors. At the same time, customers have their own purchasing criteria for smartphones. Therefore, manufacturers need to determine new technology and marketing trends based on customer purchasing trends and usage characteristics. The aim of this study is to analyze the quality attributes of smartphones. We conducted a survey on 220 respondents, and divided the respondents into several groups by purchasing trends and usage characteristic through cluster analysis. The groups are analyzed and compared based on the Kano model for the quality attributes of smartphone. The analysis result are as follows. Firstly, purchasing trends divide responders into groups that prefers high-end premium smartphones and those that take into account practicality in terms of purchasing trends. Secondly, usage characteristic divide responders into three groups: those with clear usage pattern, those who prefer ease of use, and the rest, and we find out that those with clear usage pattern are important customer in viral marketing. Lastly, Kano analysis is revealed the 'Slow/hi-speed camera', 'Private mode', 'Widget', 'Health care' are attractive quality attributes.