• 보건행정학회지
• /
• 제27권1호
• /
• pp.39-46
• /
• 2017

Background: We evaluated new patient's satisfactory consultation time (SCT) and their willingness to pay additional costs (WPAC) for their SCT. Methods: We surveyed medical service satisfaction, SCT, WPAC for their SCT, and payable amount to 612 new patients of single general hospital and measured their real consultation time (RCT). To compare WPAC and payable amount, we divided RCT into 4 groups (${\leq}3$ minutes, 3-5 minutes, 5-10 minutes, and > 10 minutes), and SCT into 3 groups (${\leq}5$ minutes, 5-10 minutes, and > 10 minutes). On the basis of WPAC, we estimated new patient's SCT. Results: RCT was 6.2 minutes, SCT was 8.9 minutes, and medical service satisfaction score was 4.3 (out of 5). The number of patients having WPAC (payable group) was 381 (62.3%) and the amount was 5,853 Korean won. Their RCT and SCT were longer than non-payable group (6.4 minutes vs. 5.7 minutes, 9.3 minutes vs. 8.2 minutes). From multiple logistic regression analysis, WPAC of RCT 5-10 minutes was higher than that RCT ${\leq}3$ minutes (odds ratio= 1.78). Payable amount was highest in RCT > 10 minutes (6,950 Korea won) and SCT > 10 minutes (7,458 Korean won). Intuitively we suggest 10 minutes as SCT, based on payable group's SCT (9.3 minutes) and cut-off time differentiating payable group with non-payable group (10 minutes). Conclusion: We found that new patient had WPAC for their SCT and the longer the SCT, the greater the amount. From this, we hope that current simplified new patient consultation fee calculating system should be modified combining the consultation time factor.

• 산경연구논집
• /
• 제11권1호
• /
• pp.7-17
• /
• 2020

Purpose: This study aimed at exploring the product choice tendency differences between the consciousness and unconsciousness of goal orientation when product attributes is perceived to be compatible with the goal orientation. Research design, data and methodology: Empirical study used a 2 (goal conscious vs. unconscious) × 3 (hedonic vs. performance vs. reliability attribute) between-subjects design and one control group. To verify hypotheses, χ²-test was conducted to 320 questionnaire data answered by undergraduate students of Jiangxi Normal University in China. Results: First, consumers under unconscious condition showed a higher product choice consistency based on compatibility between hedonic (performance) attribute of the product and their hedonic (performance) promotion goal-orientation than those under the conscious condition. Second, product choice effects of compatibility between reliability attribute of the product and prevention goal orientation were not significantly different between consumers' consciousness and unconsciousness of their prevention goal orientation. Conclusions: Marketers of 'under dog' should try to develop and deliver the product attributes different from the attributes of 'top dog.' And the 'top dog' marketers should help their customers to avoid the conflicts by developing the environment of inducing their goal orientation unconsciously. Brand marketers should always pay attention to the reliability attributes concerned with the prevention goal orientation.

• STI Policy Review
• /
• 제4권1호
• /
• pp.74-93
• /
• 2013

Although open innovation (OI) has been an important research theme for over a decade, its theoretical framework has been relatively under-researched. As OI involves a wide range of innovation activities, a firm's capacities in the use of the various firm resources play a critical role in OI implementation. However, it is unclear how they affect firms' performances for little is known of OI capacities. Based on a theoretical framework derived from the literature, this study looks into the relationships between six OI capacities (inventive, absorptive, transformative, connective, innovative, and desorptive) and financial performance using the Korean Innovation Survey (KIS) 2008 data. The research model was tested using structural equation modelling (SEM) while potential differences in capacities between different firm groups were also investigated. The results indicate that 1) OI capacities are significantly associated with firms' financial performance; 2) capacities are highly correlated with one another; and 3) some capacities are differently configured between different types of firms. Findings suggest that policy makers should pay more attention to helping firms enhance OI capacities and attempt to develop relevant policies in order to complement inadequate capacities.

• The Journal of Asian Finance, Economics and Business
• /
• 제10권2호
• /
• pp.235-245
• /
• 2023

This study examines the low performance of state civil servants related (ASN) to the management of public transportation at the Directorate of Road Transport (DRT), Ministry of Transportation, Indonesia. This study surveyed 103 ASNs, using a quantitative approach using the Amos SEM software. The results showed that Knowledge Sharing (KS) and Work Engagement (WE) directly influenced Innovative Work Behavior (IWB) as well as Job Performance (JP). Meanwhile, IWB had a significant, direct effect on JP and acts as a full mediator in the effect of KS and WE on JP. The descriptive data obtained also showed that respondents' statements based on gender have differences related to the IWB variable, where on average, women were better than men. However, for other variables (JP, KS, and WE), the data showed that, on average, the statements of male respondents were better than women. This study recommends that the DRT pay attention to IWB as a key factor mediating KS and WE towards increasing JP by maintaining the best indicators and improving the weakest indicators. Furthermore, this study recommends that future research refine these results by adding the variables of gender and educational level of the respondents.

• 한국경영과학회지
• /
• 제40권3호
• /
• pp.73-95
• /
• 2015

Firms have reexamined and restructured their supply chain based on a long-term and partnership perspective as a firm's competitive advantage increasingly relies on its supply chain capability. A number of scholar works has provided evidence to support the positive effects of supply chain collaboration; however, the relationship between collaboration and performance is still inconclusive. This study refuses to have blinded faith on supply chain collaboration, but rather this paper suggests that the contribution of collaboration to supply chain performance improvement can be limited and vary along the contextual characteristics of a buyer-supplier relationship. Moreover, we argue that the relationship between supply chain collaboration and performance can be curvilinear. This paper provides and test hypotheses regarding the relationship between supply chain collaboration and performance. By using data of the Manufacturing Panel Survey (MPS), this study empirically validates the hypotheses. Overall, the results of the study support our hypotheses about a limited contribution of supply chain collaboration to manufacturing performance, which is opposite to a conventional expectation. Particularly, the effects of supply chain collaboration differ depending on the dimensions of performance such as customer satisfaction, quality, cost, delivery, and flexibility as well as the dependency in the buyer-supplier relationship. Moreover, the results of the study indicate that supply chain collaboration and performance may have curvilinear relationships in a certain context. Through a comprehensive model and empirical evidence, this study presents a better understanding of supply chain collaboration and provokes an open discussion about the effects of collaboration. This study also provides insightful implications for managers of buyers as well as suppliers who wish to foster stronger supply chain performance via a deep buyer-supplier relationship and collaboration.

• 대한조선학회논문집
• /
• 제37권3호
• /
• pp.78-89
• /
• 2000

제품이나 시스템의 품질은 오늘날에 이르러 고객만족을 의미하기에 더욱 중요하게 인식되고 있다. 이러한 품질의 한 특성으로 인식되는 성능은 주어진기능을 얼마나 잘 수행하는가를 의미하는 것으로 고객만족에 가장 접근하는 특성이다. 하지만 선박과 같은 대형 구조물을 다루는 공학자에 있어서 안전성은 사고 시에 발생하는 파괴나 인명피해 등과밀접하게 관계되어 있기 때문에 그 중요성이 더욱 크게 인식되고 있다. 본 연구에서는 구조물에서 중요하게 인식되는 성능과 안전성을 이용하여 품질기능전개(QFD)를 이용하여 성능을 분석하고 파괴모드 및 영향분석(FMEA)을 이용하여 안전성을 분석함으로써 고객의 요구사항에 기반을 둔 품질 분석 방법을 제시한다. 또한 이를 살물선의 화물창구에 적용하여 성능과 안전성 측면에서 중요한 부재를 각각 8가지, 12가지로 파악하였으며, 이들 중에서 공통으로 지적된 7가지 부재들은 설계자가 설계 시 특별한 관심을 갖고 우선적으로 개선해야 할 부분이다.

• 한국군사과학기술학회지
• /
• 제4권1호
• /
• pp.73-82
• /
• 2001

In this Paper, slack is computed from a comparision of the cable pay out rate and the ship ground speed in accordance with laying conditions, and the speed controller of the cable engine based on an $H^{\infty}$ servo control is designed for adjusting the cable engine in order to lay a desired amount of slack. The controller is designed to have the robust tracking property of the cable engine under disturbances. The performance of the designed controller is evaluated by computer simulation, and, consequently, a feasibility study for laying the submarine cable stably is done through analyzing simulation results.

• ETRI Journal
• /
• 제32권5호
• /
• pp.766-773
• /
• 2010

Support vector machine (SVM) active learning plays a key role in the interactive content-based image retrieval (CBIR) community. However, the regular SVM active learning is challenged by what we call "the small example problem" and "the asymmetric distribution problem." This paper attempts to integrate the merits of semi-supervised learning, ensemble learning, and active learning into the interactive CBIR. Concretely, unlabeled images are exploited to facilitate boosting by helping augment the diversity among base SVM classifiers, and then the learned ensemble model is used to identify the most informative images for active learning. In particular, a bias-weighting mechanism is developed to guide the ensemble model to pay more attention on positive images than negative images. Experiments on 5000 Corel images show that the proposed method yields better retrieval performance by an amount of 0.16 in mean average precision compared to regular SVM active learning, which is more effective than some existing improved variants of SVM active learning.

• 대한수학회지
• /
• 제57권5호
• /
• pp.1267-1286
• /
• 2020

We pay attention to a coupled problem by a penalty term which is induced from non-overlapping domain decomposition methods based on augmented Lagrangian methodology. The coupled problem is composed by two parts mainly; one is a problem associated with local problems in non-overlapping subdomains and the other is a coupled part over all subdomains due to the penalty term. For the speedup of iterative solvers for the coupled problem, we propose two different types of preconditioners: a block-diagonal preconditioner and an additive Schwarz preconditioner as overlapping domain decomposition methods. We analyze the coupled problem and the preconditioned problems in terms of their condition numbers. Finally we present numerical results which show the performance of the proposed methods.

• 한국자원식물학회:학술대회논문집
• /
• 한국자원식물학회 2010년도 정기총회 및 춘계학술발표회
• /
• pp.5-5
• /
• 2010

Selection of specific medicinal sources as well as bioactive compounds is important for the preparation of medicine and related products with good quality. It is necessary to pay close attention for choosing correct medicinal sources, particularly in case of medicinal plants, because of their diversity, which can affect the quality and efficacy of medicine. Discrimination of plants based on morphological or genetic characteristics has been used as a conventional classification method of pharmaceutical sources so far; however, more need demands more general methods for accurate quality assessment of medicinal plants. In this study, ultra performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF MS) technique applied to this metabolic profiling is a powerful tool due to its higher sensitivity, resolution, and speed compared to conventional HPLC technique. The metabolite profiling of several medicinal plants including Panax ginseng was carried out using UPLC/Q-TOF MS and total metabolites were then subsequently applied to various statistical tools to compare the patterns. The developed metabolomics tool with UPLC/Q-TOF MS successfully identified and classified the samples tested according to their origins.