• 경영정보학연구
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• 제23권4호
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• pp.147-163
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• 2021

본 논문은 포털의 댓글이력공개가 뉴스 댓글에 미치는 영향을 분석한다. 구체적으로, 네이버와 다음에서 수집한 뉴스 코멘트를 기반으로 이중차분분석 방법을 적용하여 네이버의 댓글이력공개 정책의 효과를 실증 분석한다. 분석 결과에 따르면, 댓글이력공개는 댓글의 길이와 긍정성을 증가시켰지만, 품질은 향상시키지 않은 것으로 나타났다.

• 사회복지연구
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• 제41권2호
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• pp.35-65
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• 2010

본 연구는 최근에 이루어진 '건강보험 보장성 확대' 정책의 효과를 개인의 의료이용 및 건강수준을 중심으로 평가하였다. 2005년부터 시행된 건강보험 보장성 확대 정책은 암 등의 중증질환자에 대한 본인부담 경감, 입원환자 식대의 급여전환, 비급여항목의 급여전환, 본인부담상한제 시행 등을 주요 내용으로 한다. 이러한 정책 변화에 대해 만성질환을 보유하고 있어 의료욕구가 일반적으로 높은 제도의 주요 수혜집단에 비해 급성질환 등으로 의료서비스를 이용한 집단의 입원이용이 상대적으로 증가한 것과 제도의 직접적인 수혜집단인 중증질환자 집단의 입원이용이 상당 정도 증가한 것을 확인하였다. 또한 이러한 건강보험제도의 변화가 입원이용에서 혜택을 누린 중증질환자의 단기간의 건강평가지표인 2주간 이환경험 면에서 긍정적인 개선을 이끌어내고 있음을 확인하였다. 본 연구는 건강보험제도가 의료이용 및 건강수준에 인과적인 효과를 나타내고 있음을 확인하였고, 이후 건강보험 보장성 확대의 정책설계에 대한 정책적 함의를 제공한다.

• Asia Marketing Journal
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• 제22권1호
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• pp.1-26
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• 2020

Firms employing hierarchical loyalty programs (HLPs) periodically demote customers from higher to lower status level to divest from unprofitable customers and boost profitability. However, existing literature lacks objective evidence on how customer demotion affects demoted customers' future purchase behaviors and ultimately profitability for the firm. Moreover, customers in the HLP's higher position may respond to customer demotion differently from those in the HLP's lower position. Drawing upon emotions and equity theories, this study quantifies how the profits that customers contribute to the firm change after customer demotion, and compares demoted customers' behavioral reactions from top-tier with those from bottom-tier based on customers' actual behavior data from a major retail bank in South Korea. The findings show that withdrawing customer status actually deteriorates customer profitability, and customers with top-tier status decrease their profitability more dramatically than those with bottom-tier status after demotion. The results contribute to previous literature on customer demotion and relationship marketing, and provide specific guidelines into how firms should design and implement customer demotion in HLPs.

• 품질경영학회지
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• 제52권2호
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• pp.287-301
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• 2024

Purpose: This paper aims to verify the difference in production resilience between local clusters and regions without clusters before and after a major crisis. Furthermore, this paper aims to identify the clusters' quality factors that impact clusters' shock vulnerability and resilience. Methods: Utilizing open-source data from the US Cluster Mapping platform, this paper compares regions with industrial clusters to those without using the Differences-in-Differences (DID) estimator. It considers the regions with industrial clusters as a treatment group and others as the control group, comparing the period before and after the pandemic. Additionally, the paper examines which cluster factors make a difference in economic resilience during the crisis using Regression Discontinuity Design (RDD). Results: The study finds that regions with industrial clusters show higher production resilience compared to regions without clusters. Moreover, the number of establishments, annual payrolls, and employment can have a positive impact on resilience during the pandemic shock. Conclusion: Though clusters could be vulnerable during the global crisis, industrial clusters can contribute to regional economic development and production resilience in the long-term aspect. Thus, it is required to construct a high-quality local cluster and support it during the economic crisis in the long-term aspect.

• 한방비만학회지
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• 제19권2호
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• pp.97-105
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• 2019

Objectives: We investigated differences between the tracheostomized and the non-tracheostomized stroke patients through microbiological analysis for the purpose of preliminary explorations of full-scale clinical research in the future. Methods: We collected tracheal aspirates samples from 5 stroke patients with tracheostomy and expectorated sputum samples from 5 stroke patients without tracheostomy. Genomic DNA from sputum samples was isolated using QIAamp DNA mini kit. The sequences were processed using Quantitative Insights into Microbial Ecology 1.9.0. Alpha-diversity was calculated using the Chao1 estimator. Beta-diversity was analyzed by UniFrac-based principal coordinates analysis (PCoA). To confirm taxa with different abundance among the groups, linear discriminant analysis effect size analysis was performed. Results: Although alpha-diversity value of the tracheostomized group was higher than that of the non-tracheostomized group, there was no statistically significant difference. In PCoA, clear separation was seen between clusters of the tracheostomized group and that of the non-tracheostomized group. In both groups, Bacteroidetes, Proteobacteria, Fusobacteria, Firmicutes, Actinobacteria were identified as dominant in phylum level. In particular, relative richness of Proteobacteria was found to be 31% more in the tracheotomized group (36.6%) than the non-tracheostomized group (5.6%)(P<0.05). In genus level, Neisseria (24%), Prevotella (17%), Streptococcus (13%), Fusobacteria (11%), Porphyromonas (7%) were identified as dominant in the tracheostomized group. In the non-tracheostomized group, Prevotella (38%), Veillonella (20%), Neisseria (9%) were genera that found to be dominant. Conclusions: It is meaningful in that the tracheostomized group has been identified a higher rate of microbiotas known as pathogenic in respiratory diseases compared to the non-tracheostomized group, confirming the possibility that the risk of opportunity infection may be higher.