• 경영과학
• /
• 제34권3호
• /
• pp.43-60
• /
• 2017

This study empirically examined the differences in degrees of product or process innovations according to the activation forms of all knowledge management (KM) processes (i.e., socialization, internalization, externalization, and combination), which are influenced by the usage patterns of management control systems (MCS)(i.e., interactive and diagnostic usage patterns). We empirically investigated and identified the links among usage patterns of MCS, the activation forms of KM processes, and the kinds of innovation promoted. Under high competitive conditions, it was found that the interactive usage of MCS is relatively more preferred and enhanced. However, when environmental uncertainty is high, it was shown that the diagnostic use of MCS is more emphasized. Thus, it is evident that the use patterns of MCS are determined by environmental conditions. From the results of this study, it was suggested that under high interactive use of MCS, the activation of socialization and internalization is more enhanced than the facilitation of externalization. It was also observed that when both interactive and diagnostic usage of MCS are high, KM processes are more activated and strengthened. The results indicated that under high activation of KM processes, product innovation as well as process innovation are more frequently occurred. Finally, the results of this study suggested that according to the levels of innovation openness, major innovations are more frequently occurred and promoted than minor innovations.

• 한국조사연구학회지:조사연구
• /
• 제13권1호
• /
• pp.33-59
• /
• 2012

본 연구는 인구학적 변인으로 새로운 미디어 이용변인을 활용할 필요가 있는지를 살펴보기 위한 것이다. 이를 위해 대전 시민 500명을 대상으로 2011년 7월에 설문조사를 실시하고 그 결과를 분석했다. 분석결과를 요약하면 다음과 같다. 성, 연령, 소득 같은 기존의 인구학적 변인의 설명력이 여전히 유효한 것으로 나타났으나 종속변인에 대한 설명력은 크지 않았다. 기존 인구학적 변인에 새로운 미디어 이용변인(인터넷 이용빈도, SNS 이용빈도, 스마트폰 이용 여부)을 추가하여 회귀분석을 실시한 결과 온난화, 대중교통, 국정지지의 세가지 주제의 경우 설명력이 유의미한 증가를 하는 것으로 나타났다. 결과적으로 새로운 미디어 이용요인은 여러 이슈에 대해 안정적인 설명력을 갖지는 못했으나 시민의 국정지지 성향을 이해하거나 지구온난화 같은 새로운 의제에 대한 태도를 이해하는 과정에서는 활용할 가치가 있다고 할 수 있다.

• 대한교통학회지
• /
• 제34권5호
• /
• pp.394-408
• /
• 2016

본 연구는 효율적인 공공자전거 도입과 운영을 위하여 기상조건과 스테이션 입지특성이 공공자전거 수요 및 이용패턴에 영향을 파악하고자 고양시 공공자전거 대여자료를 가지고 선형회귀분석방법을 통해 시간대별 대여량 모형을 구축하였다. 기상조건에 따른 영향은 평균 기온이 상승할수록 대여량이 늘어나는 것으로 분석되었으며, 강수량이 10mm 이상 되거나, 평균기온이 29도 이상으로 높아지는 경우, 풍속이 7m/s 이상 되는 경우에 대여량이 떨어지는 것으로 분석되었다. 입지특성에 따른 영향은 새벽시간대는 유흥가가 위치한 중심상업지역이, 낮 시간대에는 공원지역과 중심 및 일반상업 지역의 대여량이 높은 것으로 나타났다. 하교시간대는 학교인근 스테이션의 대여량이 증가하고, 퇴근시간대는 지하철역 인근의 대여량이 두드러지게 높아진다. 심야시간대에는 공원지역에서의 대여량이 두드러졌다.

• 한국산학기술학회논문지
• /
• 제10권6호
• /
• pp.1346-1352
• /
• 2009

자동차 부품의 품질보증 비용은 각 시장의 품질보증 영역(warranty region) 내에서 부품이 고장 날 확률에 따라 달라진다. 부품이 고장 날 확률은 각 시장의 다른 스트레스 조건이 비슷하다고 가정할 때 사용비율(usage-rate)에 영향을 크게 받는다. 그러므로 품질보증 비용은 사용비율을 반영한 고장모형을 수립하고 이를 이용한 확률과정 (stochastic process)을 통하여 예측할 수 있다. 본 논문에서는 사용비율을 선형으로 가정한 후 가속실험 모형을 적용하여 2차원 고장모형을 1차원으로 축소시킨다. 이렇게 1차원으로 축소된 고장모형은 사용비율의 함수로 표현될 수 있으므로 사용비율의 변동에 따른 부품의 고장확률 변동을 설명할 수 있다. 이를 통해 새로운 시장의 사용비율을 알면 실측 데이터가 없다고 하더라도 고장확률 분포를 추정할 수 있고 교체되어야 하는 부품일 경우 재생과정(renewal process)으로 비용을 예측할 수 있다. 응용사례에서 실제 두 시장의 품질보증 데이터를 이용하여 이를 분석해 보았다.

• 산경연구논집
• /
• 제10권3호
• /
• pp.25-33
• /
• 2019

Purpose - With the economic development in China, the lifestyle of Chinese customers has changed dramatically. Chinese customers are more likely to have coffee in a shop with the ability to make them happy than those with high quality coffee in a nice physical environment. Happiness becomes a critical driver of customers' intention to purchase a cup of coffee in a specific coffee shop again and again. As a result, happiness becomes an important factor for managers to make strategies for attracting customers. Although managers and scholars pay more attention to emphasize the importance of happiness in customers' consumption, little research has been conducted to investigate the relationship between happiness and coffee shop's continuous usage intention in the Chinese coffee industry. Research design, data, and methodology - A research model is made to explain the impact of happiness on customer's behavior. To understand the influence of happiness better, we consider two dimensions of happiness which are subjective well-being and psychological well-being. In order to confirm the relationships of the variables in the research model, the online survey is constructed in China. Customers who have experienced the services in a coffee shop are asked to do the questionnaire. With 453 reliable questionnaires, structural equation modeling is used to analyze the causal relationships of the coffee quality, physical environment, subjective well-being, psychological well-being, and continuous usage intention. Results - Results indicate that coffee quality and physical environment are not the direct factors that influence customers' continuous usage intention. However, good coffee quality and physical environment are the significant predictors of Chinese customers' happiness associated with subjective well-being and psychological well-being, which in turn affects customers' continuous usage intention. Conclusions - In this study, it is proposed that coffee quality and physical environment may be the key factors influencing customers' happiness. Happiness, including subjective well-being and psychological well-being matters in decision making process. More importantly, happiness increases the continuous usage intention when the coffee shop can serve customers with higher quality coffee at a good atmospheric place. Managers should consider happiness as an important factor in making marketing strategies to compete in this industry.

• 지식경영연구
• /
• 제10권2호
• /
• pp.85-103
• /
• 2009

Web 2.0, characterized as openness, sharing, and participation, has enabled Internet users to easily generate a variety of contents, and to share them through Web 2.0 services. Knowledge search service (KSS) is positioning itself as one of typical Web 2.0 services. Yet, few studies have sharpened our understanding of users' knowledge sharing behavior in the KSS environment. In order to address this knowledge void, this paper attempts to explore antecedents of their usage behavior in the KSS environment. Typically, they utilize stored knowledge and share their knowledge simultaneously. Considering this characteristic, our study regards service usage intention and knowledge sharing intention as final dependent variables. This study advances a research model based on Bhattacherjee's expectation-confirmation model, which is expanded by incorporating trust belief. Because of the openness of KSS, trust belief is believed to play a critical role in forming users' service usage intention and knowledge sharing intention. Furthermore, this study examines the difference of the antecedents' effects in terms of users' gender. We collected data from 275 respondents who have experience in using KSS. PLS (partial least squares) was employed for the analysis of the data. Analysis results confirm the important role of user satisfaction and trust belief in the formation of users' service usage intention and knowledge sharing intention. More importantly, trust belief has a more salient effect on knowledge service usage intention than user satisfaction. This study also shows the moderating role of users' gender. Finally, this paper provides managerial guidance on strategic planning aimed at improving users' service usage intention and knowledge sharing intention in the KSS environment.

• 설비공학논문집
• /
• 제27권6호
• /
• pp.283-292
• /
• 2015

A model of apartment heating load in a district heating system could be useful in the management and utilization of energy resources, since it could predict energy usage and so could assist in the efficient use of energy resources. The heating load in a district heating system varies in a highly nonlinear manner and is subject to many different factors, such as heating area, number of people living in that complex, and ambient temperature. Thus there are few published papers with accurate models of heating load, especially in domestic literature. This work is concerned with the modeling of apartment heating load in a district heating system in winter, using the reduced least square support vector machine (LS-SVM), and with the purpose of using the model to predict heating energy usage in domestic city area. We collected 23,856 pieces of data on heating energy usage over a 12-week period in winter, from 12 heat exchangers in five apartments. Half of the collected data were used to construct the heating load model, and the other half were used to test the model's accuracy. The model was able to predict the heating energy usage pattern rather accurately. It could also estimate the usage of heating energy within of mean absolute percentage error. This implies that the model prediction accuracy needs to be improved further, but it still could be considered as an acceptable model if we consider the nonlinearity and uncertainty of apartment heating energy usage in a district heating system.

• KIEAE Journal
• /
• 제14권2호
• /
• pp.11-19
• /
• 2014

Building energy consumption takes up almost 25% of the total energy consumption. Therefore, diversified ways, such as improving wall and window insulation, have been considered to reduce building energy consumption. Recently, green roof system has been explored as an effective alternative for dealing with reducing heating and cooling energy, thermal island effect and improving water quality. However, recent studies regarding a green roof system have only focused on building energy reduction without considering the applied usage, location, and story of the green roof system. Therefore, this study pays attention to the heating and cooling energy in relation to the applied usage, location, and story of a green roof system for investigating its impact on energy reduction. The result of simulations show that the reduction in heating energy consumption is higher when applied to Cherwon-gun province which has a continental climate condition, compared to the city of Busan that is distinguished by its warm climate. Cooling energy saving turns out to be higher when the green roof system is applied to Busan in comparison with Cherwon. As for the applied usage or function of the building, residential space acquires the highest heating and cooling energy saving effect rather than commerce, educational or office space because of HVAC's running time based on usage. When it comes to the story of the green roof, both heating and cooling energy saving become the highest when the green roof is applied to single-storied buildings. The reason is that single story building is affected by the ground largely. Generally, the variations of heating energy consumption are larger than the cooling energy consumption. The outcome of the simulations, when a green roof system is applied, indicates that the energy consumption reduction rate is dynamically responding to the applied usage, location, and story. Therefore, these factors should be counted closely for maximizing the reduction of energy consumption through green roof systems.

• 한국산업보건학회지
• /
• 제10권2호
• /
• pp.27-39
• /
• 2000

Objectives : The purpose of this study is to analyze the factors associated with respirator usage on the basis of reasoned action theory. Methods : The data were collected from August 1 to September 30 1999, and study subjects consisted of 303 workers who were employed in the manufacturing industries. A self-administered questionnaire was used to measure the attitude, subjective norm and related factors. Results : In bivariate analysis, the variables related to protector usage were prevention of occupational disease, protection of toxic material, disturbance during working, troublesome of usage, proper exchange of protector. Multivariate logit analysis was used to estimate factors associated with respirator usage. Significant predictors that are related to respirator usage were attitude toward the behavior, size of industry and proper exchange of protector. Conclusions : The results suggest that it is strongly required to focus on attitude toward the behavior in order to improve workers' usage of respirator.

• Human Ecology Research
• /
• 제58권1호
• /
• pp.13-29
• /
• 2020

This study investigated the relationship between preschoolers' smart media usage in regards to cognitive and language development, especially the mediating effect of preschoolers' smart media addiction tendency and the moderated mediating effect of maternal guidance on smart media usage. The study surveyed 273 preschoolers' mothers who lived in Daegu City and Kyungpook Province. The findings of this study were as follows. First, preschoolers' smart media addiction tendency mediated the relationship between smart media usage time in regards to cognitive and language development. Second, maternal active mediation and monitoring moderated the relationship between preschoolers' smart media usage time and smart media addiction tendency. Third, there was a maternal co-use moderated the mediating effect of preschoolers' smart media addiction tendency on language development. In conclusion, preschoolers' smart media addition tendency mediated the effect of smart media usage time on cognitive and language development. Among the mediation pathways, the influence of preschoolers' smart media addiction tendency on language development was moderated by maternal co-use. The findings of this study suggest that maternal guidance should be applied differently depending on preschoolers' smart media addiction tendency. This study examined preschoolers' and maternal smart media-related variables on preschoolers' cognitive and language development in order to provide preliminary data that can be used to explore the maternal guidance on how to use smart media for their preschool children.