• 마케팅과학연구
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• 제19권3호
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• pp.5-16
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• 2009

企业社会责任活动已被认为是提高企业形象和企业竞争力的一个潜在因素. 然而, 先前大部分关于企业社会责任活动的研究是主要针对的是这些活动如何影响影响对产品, 企业以及企业形象的评价的评价. 另外, 一些学者将消费者对企业动机的感知作为企业社会责任和消费者反应之间直接关系中的调解变量. 然而, 动机理论和相关的研究存在一些缺点. 对消费者, 企业社会责任活动只有两个动机, 但最近, Vlachos等人(2008) 认为这些动机应该细分. 因此, 它有可能从原有理论发展为修正理论模型(说服, 个人知识管理(PKM). Vlachos等人(2008) 将企业社会责任动机细分为四种类型, 并尝试发现这些动机在影响顾客种程度方面的作用以及不同. 以前的研究已经证明具有积极动机会对的社会责任活动会有积极的影响. 但并没有实证地解释其心理原因. 因此本研究的目的是双重的. 第一, 本研究试图发现顾客为什么会在他们感受到企业社会活动的积极动机的情况下表达他们的感激. 第二, 本研究试图测试当社会从企业社会责任活动中获得利益时与消费者的回报的效果. 以下是本研究的假设: H1: 企业社会责任活动的价值驱使的动机积极影响认知的对等对于互惠的期待. H2: 企业社会责任活动的参股者驱使的动机消极影响于互惠的期待认知的对等. H3: 企业社会责任活动的利己驱使的动机消极影响于互惠的期待认知的对等. H4: 企业社会责任活动的战略驱使的动机消极影响对于互惠的期待认知的对等. H5: 对企业社会责任活动的互惠的期待认知的对等积极影响消费者忠诚度. 我们选择了一个公司作为研究对象来理解企业社会责任活动的动机是如何影响消费者于互惠的期待认知的对等和顾客忠诚度. 总样本为100名受访者被选为试验测试. 此外, 为了获得一致的回复, 我们保证所有的受访者都超过20岁. 本调查中. 在排除了28份无效问卷以后, 总受访者是172名(82名男性, 90名女性). 基于截至标准, 数据和模型的适配度良好. 在观察结果以后, 企业社会责任活动的价值驱使的动机对于互惠的期待认知的对等有积极的影响(t=6.75, p<.001)，假设1被证明. Morales (2005) 也指出消费者的确感激企业对社会所做出的努力以及对社会所给予的利益. 而且企业社会责任活动的参股者驱使的动机对于互惠的期待认知的对等没有影响(t = ‐.049, p > .05). 因此, 假设2被拒绝. 我们可以用符合论来解释这个结果. 利己驱使动机(t = ‐3.11, p < .05)和战略驱使的动机(t = ‐4.65, p < .05) 对认知的对等有消极影响. 因此H3和H4被证明. 而且认知的对等积极影响消费者的忠诚度(t = 4.24, p < .05)，H5被证明. 从结果中看, 与大众群体相比，大学生更容易受利己驱动动机的影响. 以下是本研究的结论:首先, 数据分析结果显示价值驱使的动机积极影响于互惠的期待认知的对等. 但是参股者驱动的动机对互惠的期待认知的对等没有显著影响. 另外, 利己驱使的动机和战略驱使的动机消极影响互惠的期待认知的对等. 第二, 当企业社会责任活动与消费者的回报关联时, 社会责任活动积极影响顾客忠诚度. 本研究测试了动机的种类是否影响消费者对企业社会责任的反应, 尤其是企业社会责任如何能影响关键的内在因素(认知的对等) 和消费者行为的结果(顾客忠诚度). 而且, 本研究阐述了认知对等在企业社会责任动机和顾客忠诚度的关系中起到媒介的作用. 我们的研究扩展了有关消费者企业社会责任动机方面的研究, 将他们定位为消费者反应的一个直接指标. 另外一个贡献是, 我们成功地鉴定了认知的对等作为一个次级过程在归因于顾客忠诚度的企业社会责任的影响中的中介作用. 今后在研究企业社会责任的最终行为和财务影响时应该考虑源于互惠的期待认知对等的影响. 本研究的结果具有重要的管理意义. 第一, 本研究发现的对等的中心作用表明经理人应该经常考虑这些行为将创造出多少的互惠的期待认知对等. 第二, 理解消费者对企业社会责任的动机, 的认知是如何与互惠的期待认知对等和顾客忠诚度相关, 可以帮助经理人通过营销活动和管理企业社会责任‐感应归因过程来监控和提高这些消费者的结果. 本研究的结果将帮助企业去理解影响互惠的期待认知对等的四个不同的动机的相对重要性.

• 한국자동차공학회논문집
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• 제18권5호
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• pp.108-114
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• 2010

The injection nozzle of an electro-hydraulic injector is being opened and closed by movement of a injector's needle which is balanced by pressure at the nozzle seat and at the needle control chamber, at the opposite end of the needle. In this study, the effects of needle movement in a piezo-driven injector on unsteady cavitating flows behavior inside nozzle were investigated by cavitation numerical model based on the Eulerian-Lagrangian approach. Aimed at simulating the 3-D two-phase flow behavior, the three dimensional geometry model along the central cross-section regarding of one injection hole with real design data of a piezo-driven diesel injector has been used to simulate the cavitating flows for injection time by at fully transient simulation with cavitation model. The cavitation model incorporates many of the fundamental physical processes assumed to take place in cavitating flows. The simulations performed were both fully transient and 'pseudo' steady state, even if under steady state boundary conditions. As this research results, we found that it could analyze the effect the pressure drop to the sudden acceleration of fuel, which is due to the fastest response of needle, on the degree of cavitation existed in piezo-driven injector nozzle.

• Current Photovoltaic Research
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• 제10권1호
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• pp.6-15
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• 2022

Climate change is among the most important issues facing mankind in modern society. However, global PV energy expansion has been driven mainly by OECD countries. We investigate the determinants of PV energy growth by panel data of selected OECD countries from 1991 to 2018. We investigate four categories of driving factors: socioeconomic, technological, country specific, and policy factors. The test results support that PV capacity growth is significantly driven by technology development and multidimensional environment policy factors. Socioeconomic factors such as CO₂, GDP, and electricity price are statistically significant on the growth of PV energy, too. Whereas, country-specific solar potential factor is the least related. As most of the socioeconomic factors are exogenous, we need to focus more on PV technology development and policy measures.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.715-719
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• 1991

In manufacturing process, usually 2-dimensional part drawing is used as a basic data. If a designer wants to recognize 2-dimensional drawing and formulate 3-dimensional shape, a proper feature recognition rule is required as a prerequisite step. These rules are converted Into knowledge base, should be ed separately in the recognition program and can be referenced In similar way of database application. In this paper, basic feature recognition rules are addressed in structure type knowledge base, and the application system is formulated which can be operated separately with existing data driven program.

• 한국융합학회논문지
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• 제12권1호
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• pp.133-141
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• 2021

본 연구는 객관적인 데이터 기반 방법을 통해 인간 중심 디자인 과정을 효과적으로 보완하는 디자인 프로세스를 제시한다. 즉, 주관적 방법에 의한 인간 중심 디자인 프로세스에서 결여되는 객관성이 데이터 기반 접근에 의해 보완되어 숨겨진 사용자의 니즈를 효과적으로 발견하는 프로세스로 발전될 수 있다. 이에 본 연구에서는 설문조사 데이터 마이닝 분석 과정과 공동 디자인 프로세스가 접목된 인간 중심 디자인 프로세스를 제시하며, 스마트 난방복 사례연구를 통해 이를 검증한다. 설문조사 데이터 마이닝 분석 과정에서는 클러스터링과 의사결정 나무의 두 가지 분석 방법이 사용된다. 클러스터링은 타겟 그룹을 선정하는 기준이 되는 페르소나의 초안을 제시하며, 의사결정 나무는 제품 구매에 중요한 사용자 인식 속성 파악과 사용자 가치 체계를 일차적으로 제안한다. 이후 데이터 분석을 통해 얻어진 광범위한 관점에 대하여 타겟 그룹을 대표하는 사용자가 직접 참여하는 공동 디자인 프로세스가 수행되며 맞춤형 워크북을 이용하여 신제품에 대한 사용자의 여정맵, 니즈, 아이디어, 가치 체계 등을 체계적으로 도출한다. 본 논문에서 수행한 스마트 난방복 사례 연구는 제안된 방법론의 적용성을 보여주고 있다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.324-337
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• 2010

For the development of load and resistance factor design, reliability analysis is required to calibrate resistance factors in the framework of reliability theory. The distribution of measured-to-predicted pile resistance ratio was constructed based on only the results of load tests conducted to failure for the assessment of uncertainty regarding pile resistance and used in the conventional reliability analysis. In other words, successful pile load test (piles resisted twice their design loads without failure) results were discarded, and therefore, were not reflected in the reliability analysis. In this paper, a new systematic method based on Bayesian theory is used to update reliability index of driven steel pile piles by adding more pile load test results, even not conducted to failure, into the prior distribution of pile resistance ratio. Fifty seven static pile load tests performed to failure in Korea were compiled for the construction of prior distribution of pile resistance ratio. Reliability analyses were performed using the updated distribution of pile resistance ratio and the total load distribution using First-order Reliability Method (FORM). The challenge of this study is that the distribution updates of pile resistance ratio are possible using the load test results even not conducted to failure, and that Bayesian update are most effective when limited data are available for reliability analysis or resistance factors calibration.

• Journal of Smart Tourism
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• 제2권1호
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• pp.21-31
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• 2022

This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

• Management Science and Financial Engineering
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• 제20권1호
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• pp.1-9
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• 2014

In multi-objective scheduling problems, the objectives are usually in conflict. To obtain a satisfactory compromise and resolve the issue of NP-hardness, most existing works have suggested employing meta-heuristic methods, such as genetic algorithms. In this research, we propose a novel data-driven approach for generating a single solution that compromises multiple rules pursuing different objectives. The proposed method uses a data mining technique, namely, random forests, in order to extract the logics of several historic schedules and aggregate those. Since it involves learning predictive models, future schedules with the same previous objectives can be easily and quickly obtained by applying new production data into the models. The proposed approach is illustrated with a simulation study, where it appears to successfully produce a new solution showing balanced scheduling performances.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제1권1호
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• pp.33-51
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• 2007

There are two newly emerging research issues in the enterprise information systems literature. One is the scalability issue for rapidly increasing choreographic volumes between interrelated organizations. The other is the business intelligence issue for traceable and monitorable business processes and services interchanging e-Business data and applications across organizations. Based upon these emerging issues, through a functional extension of the ebXML technology we have developed a process-driven e- Business service integration (BSI) system, which is named ‘e-Lollapalooza’. It consists of three major components ? the Choreography Modeler coping with the processdriven collaboration issue, the Runtime & Monitoring Client for coping with the business intelligence issue and the EJB-based BSI Engine coping with the scalability issue. This paper particularly focuses on the e-Lollapalooza’s development aspects for supporting the ebXML-based choreography and orchestration among the engaged organizations in a process-driven multiparty collaboration for e-Logistics and e- Commerce services. Here, it is fully deployed in an EJB-based middleware computing environment for e-Logistics process automation and B2B choreography.

• Ocean and Polar Research
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• 제22권2호
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• pp.81-90
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• 2000

Supposed construction of a large port in the mouth of Tuman River requires careful examination of possible unfavorable ecological consequences for the Far Eastern Federal Marine Reserve. Since the Tuman River is the largest source of suspended material and possible contaminants flowing into the sea, and in order to understand how this material is allocated in the coastal zone, analyses are needed to check possible pathways of water transport and circulation system in the region. Linearized shallow water equations were used for numerical simulation of the wind-driven circulation to the north off the Tuman River mouth. The model results satisfactorily agreed with in situ data. The model circulation patterns are largely dependent on the wind direction and are conformed by the distribution of bottom sediments, and by the location of organic carbon and some pollutants accumulation zones. The most unfavorable situation for the Marine Reserve is the case of the southwesterly wind; even with quite moderate wind, the waters polluted by the run-off from the Tuman River can attain the south section of the Marine Reserve during the diurnal period.