• Journal of Information Technology Applications and Management
• /
• 제24권4호
• /
• pp.1-12
• /
• 2017

Item-based collaborative filtering (IBCF) is an important technology that is widely used in recommender system of online shopping malls. It uses historical information to compute item-item similarity and make predictions. However, in offline shopping each customer's purchasing pattern can be occurred continuously and repeatedly due to time and space constraints contrast to online shopping. Those facts can make IBCF to have limitations from being applied to offline shopping malls directly. In order to improve the quality of recommendations made by IBCF in offline shopping mall, we propose an ensemble approach that considers both item-item similarity of IBCF and each customer's purchasing patterns which are modeled by item networks. Our experimental results show that this approach produces recommendation results superior to those of existing works such as pure IBCF or bestseller approaches.

• 한국디지털정책학회:학술대회논문집
• /
• 한국디지털정책학회 2003년도 창립학술대회
• /
• pp.11-24
• /
• 2003

It is far more expensive for companies to acquire new customers than it is to retain customers. As a result, companies are turning to Customer Relationship Management (CRM) in order to make decisions about managing the relationship and the profitability of those customer relationships. CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining and Data Warehousing in order to support the organization's decision -making process to retain long-term and profitable relationships with its customers. This paper examines the design implications that CRM poses to data warehousing. We then present a robust data warehouse schema to support CRM analyses and decisions. For example, the proposed schema could be used to calculate customer profitability and to identify social networks of influence between customers. The paper also discusses future areas for research pertaining to CRM data warehousing and data mining.

• 전기학회논문지
• /
• 제61권8호
• /
• pp.1186-1192
• /
• 2012

In Jeju Smart Grid field test, Zigbee technology is being used as one of customer side solutions for AMI. Although Zigbee networks that provides effective connectivity and control among devices are advantages in ease of implementation and use, the data can be exposed to cyber attacks such as eavesdrop, unauthorized data dissemination and forgery. Currently authentication and confidentiality services are provided with the network and link keys generated based on public key pairs that are pre-installed in offline. However, the network is vulnerable once a hacker intrudes into a local network because operation and management policies for the generated keys are not well-established yet. In this paper, the vulnerability of the Zigbee security system in the customer side environment of Jeju Smart Grid field test is analyzed. Then, two-way authentication with the unique identifiers of devices and user-specific group management policies are proposed to resolve the vulnerability.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2005년도 춘계학술대회
• /
• pp.131-138
• /
• 2005

Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Most of the existing recommender systems focused on what kind of items to recommend, although when to recommend to the target customer considering their context is an important issue. Even right item might be a spam advertisement or wrong recommendation for the customer if it can not be recommended at the right context. It is particularly important for recommendations where the user's context is changing rapidly, such as in both handheld and ubiquitous computing environment. Therefore, we propose CARS (Context-Aware Recommender System) based on CBR and context-awareness for ubiquitous computing environment. CBR is used to generate a target customer class and proper context. Context-awareness is used to gather suer context information from sensors, networks, device status, user profiles, and other sources. An illustrative case example is suggested to explain the procedure of CARS.

• Asia pacific journal of information systems
• /
• 제20권2호
• /
• pp.157-180
• /
• 2010

Rapid development of information technology has generated a new industry and market. In particular, network technology such as the Internet and other computer networks made transaction activities switched from traditional offline commerce to e-commerce. Among them, digital content is bit-based object which is created and distributed through electronic environment. In particular, many entertainment contents such as the music, the movies, and the computer game softwares are main products. Although digital content commerce has high potential demand, it lacks the consideration about the factor related to maintaining existing customer such as customer loyalty and switching costs. There has been a number of research on customer loyalty and other factors affecting it in the traditional electronic commerce environment, but there is a lack of research which examines the characteristics of digital content. The study about the effect of switching costs on customer loyalty in digital content commerce is necessary because the customers of digital content commerce market are from those of other e-commerce market or traditional offline commerce market. In addition, customer loyalty and switching costs are important factors because they may build up greater customer retention. For that reason, this study focused on examining the relationships among switching costs, antecedents for switching costs, and customer loyalty in online digital music service industry. The study has three major purposes: (1) to find antecedents of switching costs on digital content commerce and examine effect of antecedents for switching costs; (2) to identify effect of switching costs on customer loyalty in digital content commerce and examine moderating effects of alternative attractiveness; (3) to identify the differences of antecedents for switching costs by contents transmission type(streaming service and downloading service). And, the online digital music service industry is selected in this study since there are many users and transactions incurring. To accomplish these purposes, a survey questionnaire was developed and distributed to 256 informants. Survey instrument was developed based on previous research and pre-established survey items. Total of 206 surveys are collected and used in the data analysis. Among the respondents, 56.8% is male and 43.2% is female. Also, 86 responses were streaming service user group and 120 responses were download service user group. These data was analyzed using regression analysis. Major findings of empirical analysis can be summarized as follows. First, switching costs have positive effect on customer loyalty in digital content commerce environment. Second, the influence of switching costs on customer loyalty increases under conditions of high alternative attractiveness. Third, DRM convenience and breadth of use have positive effect on switching costs. The findings imply that the digital content provider should pay more attention to switching costs in addition to customer satisfaction in order to attract customers. Also, increasing the convenience of DRM use by securing the convenience of user interface and expanding the support device and increasing the service use scope by providing diverse value-added service helps to create a switching barrier. The result of the study can become a practical use in marketing strategy for maintaining existing customer. In particular, switching barrier is very important under conditions of high competition in the online music service market. This study can be used as a basis for further studies about customer retention in digital content commerce.

• 한국산학기술학회논문지
• /
• 제7권3호
• /
• pp.518-523
• /
• 2006

본 논문은 하이브리드 의사결정 나무(CART)와 인공신경망 모델을 개발하여 고객의 이탈에 대한 예측을 높이기 위하여 가정방문 학습지 고객의 패턴을 분류하고, 분석하는 새로운 방법에 대하여 연구하였다. 의사 결정나무(CART5)를 형성하여 선택된 결정변수들은 인공신경망의 입력벡터 값으로 선택되는 새로운 방법을 제시하였다. 고객 관리측면에서 본 논문은 가정방문 학습지 회사의 기존고객을 분류하여 패턴을 분석함으로써 우수한 고객의 지속적인 관리와 이탈 가능성이 많은 고객을 차별 관리하여 기업이익을 증대시킬 수 있을 것이다. 새롭게 제안한 하이브리드 모델은 기존의 의사결정트리모델(CART), 회귀모형, 인공신경망 모델과 비교한 결과 그 예측 정확성이 높음을 확인할 수 있었다.

• 한국통신학회논문지
• /
• 제31권10B호
• /
• pp.900-908
• /
• 2006

본 논문에서는 이동성을 보장하면서 다양한 멀티미디어 서비스 및 컨텐츠를 지원하는 서비스들이 거의 동시에 상용화되는 상황에서 향후 이들 서비스의 시장경쟁구도가 어떻게 형성될 것인지에 대해 예측해 보고자 한다. 미래 시장경쟁구도 예측을 위해서 과거 정보통신사업에서 시장자료에 근거하여 판단하는 방법을 지양하고, 소비자 선호에 근거하는 선택확률모형을 적용하는 접근법을 시도함으로써 유사 서비스들의 경쟁양상을 보다 정확하게 분석할 수 있는 계기를 마련하였다. 분석결과, 서비스들간의 대체효과, 유인효과, 외부영향 요인에 따른 변화 양상 등을 예상할 수 있었고, 이들을 근거로 하여 기업전략 방향이나 정부정책 수립에 대해 전반적으로 나아갈 방향을 제시하였다.

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

• International Journal of Computer Science & Network Security
• /
• 제23권12호
• /
• pp.137-144
• /
• 2023

The relevance of the research topic lies in the necessity to use social networks as innovative tools of marketing communications. A wide audience and the ability to segment the market for a specific consumer determine the construction of a corporate strategy, which will be based on using the social networking approach. The spread of the global coronavirus pandemic has led to the rapid development of remote communication channels between the company and the customer. The issue of using marketing tools in social networks acquires the most urgent importance in the modern world of the introduction and implementation of the company's marketing strategies. The purpose of the academic paper is to study the use of social networks as features of implementing the marketing campaign. Social networks are the result of the development of digital technologies and the processes of creating an information society involved in the digital space. The objectives of the research are to analyse the opportunity of using social networks as a tool for marketing communications and their implementation at the level of its widespread use by enterprises and establishments. It is significant to create an advertising campaign by defining the target audience and outlining the key aspects, on which the company is focused. The research methodology consists in determining the theoretical and methodological approaches to the essence of introducing social networks and their practical importance in the implementation of marketing activities of companies. The obtained results can significantly improve the quality of functioning of modern enterprises and organizations that plan to master a new market segment or gain competitive advantages in the existing one. The academic paper examines the essence of social networks as a tool of marketing communications. The key principles of the development of digital social platforms were revealed. The quality of implementing the advertising campaign in the social network was studied, and further prospects for the development of using social networks as a component of the marketing strategy were outlined. Therefore, the academic paper analyses the problems of using social networks as a marketing tool.

• 대한안전경영과학회지
• /
• 제6권1호
• /
• pp.135-146
• /
• 2004

This paper first addresses a distribution planning method on centrally controlled supply chain. The distribution channels are assumed to be network of arborescence form. For such distribution networks, this study proposes a distribution planning scheme when the demands for retail sites are provided for a given planning horizon. As the planning horizon rolls forward, for a new horizon, forecasted demand distributions of periods in the horizon are updated. An idea of controlling customer service level by the selection of demand to be used in the planning (Demand Used in Planning, DUP) from the forecasted values is also discussed.