• Asian Pacific Journal of Cancer Prevention
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• 제16권13호
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• pp.5233-5235
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• 2015

Breast cancer is the most common cancer among women in Malaysia. Therefore, it is highly important for the public to be educated on breast cancer and to know the steps to detect it early on. Healthcare providers are in the prime position to provide such education to the public due to their high knowledge regarding health and their roles in healthcare. The present systematic review involved studies conducted in recent years to analyze the knowledge, attitudes and behavior of Malaysian healthcare providers regarding breast cancer, in attempts to obtain an overall picture of how well equipped our healthcare providers are to provide optimal breast cancer education, and to see their perceptions and actual involvement in said education. The systematic review was conducted via a primary search of various databases and journal websites, and a secondary search of references used by eligible studies. Criteria for eligibility included being published from the year 2008 till present, being conducted in Malaysia, and being written in the English language. A total of two studies were eligible for this review. Findings show that Malaysian future and current healthcare providers have moderate knowledge on breast cancer, have a positive towards involvement of breast cancer education, but have poor actual involvement.

• 대한간호학회지
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• 제37권5호
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• pp.790-800
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• 2007

Purpose: This study was to identify knowledge, perception and health behavior about metabolic syndrome for an at risk group in a rural community area. Methods: A descriptive cross-sectional survey design was used. A total of 575 adults with hypertension, diabetes mellitus, dyslipidemia, and/or abdominal obesity were recruited from 11 rural community health care centers. A questionnaire was developed for this study. Anthropometric measures were measured and blood data was reviewed from the health record. Results: Knowledge about the metabolic syndrome was low as evidenced by only a 47% correct answer rate. Only 9% of the subjects ever heard about the disease, and 87% answered they do not know the disease at all. 87% of the subjects were not performing regular exercise, 31% drank alcohol more than once a month, 12.5% were current smokers, and 33.6% are did not have a regular health check-up. Conclusion: Development of systematic public health care programs are needed to prevent future increases in cardiovascular complications and to decrease health care costs. These might include educational programs for the primary health care provider and an at risk group, a therapeutic lifestyle modification program, and a health screening program to identify potential groups.

• 디지털콘텐츠학회 논문지
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• 제18권3호
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• pp.535-542
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• 2017

유비쿼터스 컴퓨팅은 사용자의 위치, 상태, 행동정보, 주변 상황 등의 컨텍스트를 인식할 수 있게 하였는데 이로 인해 사용자에게 필요한 서비스를 빠르고 정확하게 제공해 줄 수 있게 되었다. 이와 같은 개인화 추천 서비스는 사용자의 컨텍스트 정보를 인식하고 해석하는 추론기술이 필요한데 본 논문에서는 실생활과 가장 밀접한 음식점을 날씨, 시간, 요일, 위치의 모바일 컨텍스트 데이터를 기반으로 행동 패턴을 추론하여 추천하는 모델을 연구한다. 연구를 위해 자사에서 직접 서비스 하고 있는 사용자 평가 기반 음식점 추천 서비스의 장소와 사용자 생성 데이터를 활용하였고, 행동패턴을 추론하기 위해 나이브 베이즈 방정식을 사용했다. 그리고 선호도 예측 알고리즘을 활용하여 추천 장소를 선정하였다. 시스템으로 구현하여 평가 기반의 추천 방식보다 본 논문에서 제시한 연구의 우수성도 입증하였다.

• 대한보건연구
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• 제44권4호
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• pp.1-13
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• 2018

연구목적: 이 연구는 문제음주자 관점에서 조기개입 프로그램의 효과를 조명함으로써 탐색적 이해를 보여주는데 있다. 연구방법: 이 연구는 질적 기술 연구 설계가 사용되었다. 프로그램에 참여한 13명의 문제음주자와 개별 면담을 통해 연구자료를 수집하였으며, 질적 내용 분석으로 분석하였다. 연구결과: 조기개입 프로그램에 참여한 문제음주자는 알코올 정보, 알코올의 효과에 대한 기대, 자기효능감과 행동 변화 측면에서 4개의 주제 및 9개의 하위주제가 도출되었다. 이들은 직장 내에서 운영된 조기개입 프로그램에 참여하였기 때문에 개인별로 동기 수준에 차이가 있었으나, 프로그램의 필요성은 대체로 수용하였다. 프로그램 진행자를 신뢰하는 참여자일수록 음주행동 변화를 긍정적으로 생각하였다. 결론: 조기개입 프로그램에 참여한 문제음주자는 충분한 정보를 습득함으로써 음주 폐해에 대한 인식과 변화 동기의 증진 및 행위기술인 자기효능감의 획득을 통하여 문제음주 행동 변화에 유용한 접근임을 보여주었다. 이러한 결과는 직장 등 다양한 일차건강관리 현장에서 알코올중독 예방을 위한 조기개입을 적용하기 위한 기초자료로 활용될 수 있을 것이다.

• 경영과정보연구
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• 제35권1호
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• pp.155-172
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• 2016

고객참여행동 및 고객시민행동은 서비스접점에서 이루어지는 고객의 능동적인 기능과 역할로 서비스품질 향상에 이바지하고 있다. 뿐만 아니라 많은 연구들은 이 두 고객행동들의 관계적 성과에의 영향에 대해서도 주목하고 있다. 그러나, 고객참여행동 및 고객시민행동의 성격적 특성을 살펴보면, 오히려 고객과 접점종업원(혹은 서비스제공자)의 관계에 의해 이들이 더 영향을 받을 수 있다는 사실을 알게 된다. 따라서, 상업적이긴 하지만 고객과 접점종업원 간의 프렌드십이 서비스접점에서의 고객참여행동 및 고객시민행동을 설명하고 추가적으로 관계적 성과변수에 영향을 미치는지 살펴보아야 한다. 연구의 결과, 고객-접점종업원(혹은 서비스제공자)의 친밀감을 내포한 프렌드십은 고객참여행동뿐만 아니라 고객시민행동에도 유의한 영향을 미치는 것으로 나타났다. 이런 결과는 관계가 있는 경우에 고객들의 서비스접점에서의 행동들이 더욱 적극적으로 이루어질 수 있다는 것으로 고객사회화 및 관계정립이 우선적으로 요구된다는 것을 알려준다. 또한, 고객참여행동 및 고객시민행동은 고객협력과 같은 관계적 성과변수에도 긍정적인 영향을 미치는 것으로 나타났다. 결국, 고객참여행동 및 고객시민행동은 다양한 관계마케팅관련 변수들과 순환적으로 연결되어 있다고 말할 수 있다.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.454-471
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• 2008

This study suggests the dynamic pricing model which reveals the organic relationship between ASP (Application Service Provider) price and the related factors, using system dynamics methodology. Basically, we applied the law of supply and demand for analyzing price changes. Then, we deducted ASP price, focusing on fixed cost and variable cost. We also researched the customer's buying behavior according to version differentiation policy. In the version policy, we set up the proposition about customer's satisfaction and willingness-to-pay, using option system. As a result, this research designed the simulation model which analyzes the changes of the sales according to version differentiations and customer's willingness-to-pay. Through this research, we can find effective version differentiation strategies. This paper also found that the larger the number of package, the greater the demand and customer's willingness-to-pay. The increase of the number of package causes the increase of the sales. The increase of the sale is not exactly relative to the number of package. Drawing S-curve, the sales was increased. This dynamic pricing model suggests the ground that the ASP price changes based on the existing version differentiation theory and the demand of customers can affect the changes of the sales. We expect that this model suggests a clear standard of ASP pricing by combining real cases.

• 경영과학
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• 제17권3호
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.1-21
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• 2016

Purpose The study analyzed the factors affecting continuance use and self-disclosure in the SNS(social networking service) context based on a dual-factor model. As SNS users have concerned privacy for a long time, privacy concern affects continuous use and self-disclosure. In details, concern over privacy may have a stronger effect on self-disclosure than on continuance use as users' personal information can be more exposed during posting their dailies and photos. Design/Methodology/Approach SNS benefits, trust in SNS providers, and social influence are served as the key enablers and privacy concern as the inhibitor. Moreover, the relative impacts of SNS benefits and privacy concern on continuance use and self-disclosure were analysed in this study. From the data of 327 Facebook users, the researchers tested proposed theoretical model by using PLS. Findings Users' continuance intention and self-disclosure behavior are differently affected by different antecedents. Trust in SNS provider had a significant effect on self-disclosure intention, while it has no significant effect on continuance intention. Concern over privacy was negatively related to self-disclosure intention, while it was positively associated with continuance intention.

• 한국의류산업학회지
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• 제13권4호
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• pp.548-559
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• 2011

The purpose of this study is to find out the important factors and efficient strategies concerning fashion mobile marketing. This study contributes to the effect on shopping behavior of m-commerce consumer applying technology acceptance model(TAM) in the mobile fashion merchandise shopping environment. The areas of study interest are mobile commerce interface characteristics, flow, perceived usefulness, ease of use, attitude, purchase intention. To fulfill the study objectives, a total of 406 questionnaires were conducted to the customers with first-hand experience with merchandise in mobile commerce. The judgement sampling method was employed on sample population ages from 20s to 30s over two month period. Based on the results of the above-mentioned path analysis, The result showed that different factors affect acceptance intention of the fashion M-commerce. The result which extended TAM relationship, excepted affects in perceived ease of use by navigation and Flow, perceived usefulness by perceived ease of use and purchase intention by perceived ease of use considers from all relationships the effect put out. On this wise, mobile commerce interface characteristics needs provider of basic contents to fashion mobile commerce technology acceptance and suggested the ability which diffuses a fashion mobile transactions.

• 경영과학
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• 제26권1호
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• pp.183-196
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• 2009

Customer retention has been a pressing issue for companies to get and maintain the loyal customers in the competing environment. Lots of researchers make effort to seek the characteristics of the churning customers and the loyal customers using the data mining techniques such as decision tree. However, such existing researches don't consider relationships among customers. Social network analysis has been used to search relationships among social entities such as genetics network, traffic network, organization network and so on. In this study, a customer network is proposed to investigate the differences of network characteristics of churning customers and loyal customers. The customer networks are constructed by analyzing the real purchase data collected from a Korean cosmetic provider. We investigated whether the churning customers and the loyal customers have different degree centralities and densities of the customer networks. In addition, we compared products purchased by the churning customers and those by the loyal customers. Our data analysis results indicate that degree centrality and density of the churning customer network are higher than those of the loyal customer network, and the various products are purchased by churning customers rather than by the loyal customers. We expect that the suggested social network analysis is used to as a complementary analysis methodology with existing statistical analysis and data mining analysis.