• 한국지역지리학회지
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• 제17권5호
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• pp.617-637
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• 2011

본 연구는 충청북도의 사례를 통해서 온라인 협진의 지리적 특성과 환자의 온라인 협진에 대한 결정 요인에 대해서 알아보는 것을 목적으로 하고 있다. 2009년 7월부터 9월까지 심층 인터뷰에 기반한 정성적 기법을 이용하였고, 충청북도에 거주하는 환자 20명을 대상으로 하였다. 이 연구에 의하면 대부분의 환자는 1차적으로 의료 문제가 해결되지 않을 경우, 온라인 협진의 본래 취지와 달리 충청북도 내에서 그것을 해결하는 것이 아니라, 경기 의료권에 위치한 의료 기관으로 방문하는 경향을 보였다. 이와 더불어, 환자의 의무 기록 또한 온라인 시스템을 통해 이들 병원에 전달되어, 온라인 협진의 공간상 네트워크는 경기 의료권으로 집중하게 된다. 이러한 주요 원인은 의료 서비스에 대한 질 혹은 수준에 대한 고려, 개인적인 이해 관계와 신뢰성, 좋은 접근성 등에 기인하는 것으로 밝혀졌다. 이에 반해, 온라인 협진 시스템의 편리성, 유효성 등과 같은 온라인 협진의 기술적 가치나 온라인 협진의 본래적인 목적인 지역의료 향상과 같은 요인은 크게 영향을 미치지 않는 것으로 밝혀졌다. 따라서 우리나라 원격진료의 결정 요인은 환자 개인에 의해서 결정이 되는 바가 크고, 아직 개개인의 인식이 지역 의료 시스템과 크게 밀착되지 않는 형태를 보이기 때문에 경기 의료권으로 원격진료의 선택이 집중된 공간 특성을 보이고 있다고 할 수 있다. 특히, 이는 기존의 의료 제도 및 환자의 행태가 온라인 상에서의 의료 활동에도 그대로 투영되기 때문인데, 가장 이상적인 원격진료의 지리적 담론인 지역화를 실현하기 위해서는 근본적인 지역의 의료 서비스 구조의 개선이 필요할 것으로 보인다.

• 한국IT서비스학회지
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• 제13권4호
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• pp.377-396
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• 2014

There is a phenomenon that the consumers from all over the countries are using the Korean online shopping malls, which has settled as a distribution industry. To get the attention of the consumers from other countries, the marketing strategy is important in order for the online shopping malls to go advance abroad. The purpose of this study is to overview the Pinterest, which is a shopping-oriented Social Network Service (SNS) based on the image content. The Pinterest is a valuable online shopping mall marketing channel. By looking at the background growth and feature of service, the existence of the mega SNS as a center in the social business is to see how Pinterest is targeting a niche market. As a result of this study, Pinterest has the advantage against other SNS for joining with online shopping malls because a tendency of the traffic referrals from Pinterest is increasing and the average of the cost of the purchase is high. Therefore, this study is reflecting various cases of utilizing the online shopping malls. In conclusion, Pinterest represents an illustrative case of effective marketing channel of the online shopping malls.

• 융합경영연구
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• 제11권2호
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• pp.1-11
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• 2023

Purpose: With the rapid development of e-commerce, logistics services, as an important part of e-commerce shopping, have gradually attracted people's attention. Customer engagement behavior is a new topic in marketing, and its connotation is still being explored. The purpose of this paper is to study the relationship between logistics service quality and customer engagement behavior. Research design, data and methodology: This study employed the method of online questionnaire survey, with Chinese e-commerce platform users as the survey objects, 248 valid survey sample data were collected, and the method of factor analysis and structural equation model analysis was used to verify the research hypothesis model constructed in this paper. Results: The four dimensions of e-commerce logistics service quality have different influences on customer satisfaction, and the influence of availability on customer satisfaction is not significant. Convenience, assurance, and security have a significant positive impact on customer satisfaction; Customer satisfaction has a significant positive impact on the three dimensions of customer engagement behavior: customer repeat purchase behavior, online word-of-mouth, and customer referrals. Conclusion: The results of this study will provide useful reference for the managers of e-commerce companies to improve customer engagement behavior by improving the logistics service quality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권8호
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• pp.2137-2156
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• 2024

Customer reviews are the second-most reliable source of information, followed by family and friend referrals. However, there are many existing customer reviews. Some online shopping platforms address this issue by ranking customer reviews according to their usefulness. However, we propose an alternative method to rank customer reviews, given that this system is easily manipulable. This study aims to create a ranking model for reviews based on their usefulness by combining product and seller service aspects from customer reviews. This methodology consists of six primary steps: data collection and preprocessing, aspect extraction and sentiment analysis, followed by constructing a regression model using random forest regression, and the review ranking process. The results demonstrate that the ranking model with service considerations outperformed the model without service considerations. This demonstrates the model's superiority in the three tests, which include a comparison of the regression results, the aggregate helpfulness ratio, and the matching score.