• 유통과학연구
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• 제14권4호
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• pp.47-53
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• 2016

Purpose - The objective of this study is to investigate the dynamic relationships among Advertising Cost (AD), Newly Registered Users(NRU), and Buying Users(BU) of Social Network Game(SNG). SNG is getting pervasive mainly due to the rapid growth of mobile game and Social Network Service(SNS). It would be helpful for marketing researchers interested in SNG and related practitioners to understand the changes in AD, NRU, and BU with time as well as the effects on one another in mutual and dynamic way. Research Design, Data, and Methodology - Necessary data were collected from Social Network Game(SNG) company. AD, NRU, and BU are endogenous variables, but new event such as launching (event) and holidays(holiday) are exogenous dummy variables. Vector Auto regression (VAR) model is generally used to examine and capture the dynamic relationships among endogenous variables. VAR model can easily capture dynamic and endogenous relationships among time-series variables. Vector Auto regression with Exogenous variables(VARX) is a model in which exogenous variables are added to VAR. To investigate this study, VARX is applied. Result - By estimating the VARX model, the author finds that the past periods' NRU affect negatively and significantly the present AD, and past periods' BU have a positive and significant impact on the increase of AD. In addition, the author shows that the past periods' AD and BU have a positive and significant effect on the increase of NRU, and the past periods' AD affect positively and significantly BU. While the impact of AD on NRU happens after 3 or 4 days (carryover effect), that of AD on BU comes about within just 1 or 2 days (immediate effect). The effect of BU on NRU can be considered as word of mouth (WOM effect). Therefore, SNG companies can obtain not only the growth of revenue but also the increase of NRU by increasing BU. Through those results, the author can also find that there are significant interactions between endogenous variables. Conclusion - This study intends to investigate endogenous and dynamic relationships between AD, NRU, and BU. They also give managerial implications to practitioners for SNS and SNG firms. Through this study, it is found that there exist significant interactions and dynamic relationships between those three endogenous variables. The results of this study can have meaningful implications for practitioners and researchers of SNG. This research is unique in that it deals with "actual" field data and intend to find "actual" relationships among variables unlike other related existing studies which intend to investigate psychological factors affecting the intention of game usage and the intention of purchasing game items. This study is also meaningful by showing that the increase of BU can be a good strategy for "killing birds with one stone" (i.e., revenue growth and NRU increase). Although there are some limitations related with future research topics, this research contributes to the current research on SNG marketing in the above mentioned ways.

• 지능정보연구
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• 제19권1호
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• pp.19-33
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• 2013

본 논문에서는 네트워크 기반 대용량의 자원들을 효율적으로 검색하기 위해 사용자의 요구사항에 기반해 검색에 요구되는 태그들 간의 의미론에 기반한 동적 가상 온톨로지(Dynamic Virtual Ontology using Tags: DyVOT)를 추출하고 이를 이용한 동적 검색 방법론을 제안한다. 태그는 소셜 네트워크 서비스를 지원하거나 이로부터 생성되는 정형 및 비정형의 다양한 자원들에 대한 자원을 대표하는 특성을 포함하는 메타적 정보들로 구성된다. 따라서 본 연구에서는 이러한 태그들을 이용해 자원의 관계를 정의하고 이를 검색 등에 활용하고자 한다. 관계 등의 정의를 위해 태그들의 속성을 정의하는 것이 요구되며, 이를 위해 태그에 연결된 자원들을 이용하였다. 즉, 태그가 어떠한 자원들을 대표하고 있는 지를 추출하여 태그의 성격을 정의하고자 하였고, 태그를 포함하는 자원들이 무엇인지에 의해 태그간의 의미론적인 관계의 설정도 가능하다고 보았다. 즉, 본 연구에서 제안하는 검색 등의 활용을 목적으로 하는 DyVOT는 태그에 연결된 자원에 근거해 태그들 간의 의미론적 관계를 추출하고 이에 기반 하여 가상 동적 온톨로지를 추출한다. 생성된 DyVOT는 대용량의 데이터 처리를 위해 대표적인 예로 검색에 활용될 수 있으며, 태그들 간의 의미적 관계에 기반해 검색 자원의 뷰를 효과적으로 좁혀나가 효율적으로 자원을 탐색하는 것을 가능하도록 한다. 이를 위해 태그들 간의 상하 계층관계가 이미 정의된 시맨틱 태그 클라우드인 정적 온톨로지를 이용한다. 이에 더해, 태그들 간의 연관관계를 정의하고 이에 동적으로 온톨로지를 정의하여 자원 검색을 위한 동적 가상 온톨로지 DyVOT를 생성한다. DyVOT 생성은 먼저 정적온톨로지로부터 사용자 요구사항을 포함하는 태그를 포함한 부분-온톨로지들을 추출하고, 이들이 공유하는 자원의 정도에 따라 부분-온톨로지들 간의 새로운 연관관계 여부를 결정하여 검색에 요구되는 최소한의 동적 가상 온톨로지를 구축한다. 즉, 태그들이 공유하는 자원이 무엇인가에 의해 연관관계가 높은 태그들 간에는 이들의 관계를 설명하는 새로운 클래스를 가진 생성된 동적 가상 온톨로지를 이용하여 검색에 활용한다. 온톨로지의 인스턴스는 자원으로 정의되고, 즉 이는 사용자가 검색하고자 하는 해로서 정의된다. 태그들 간의 관계에 의해 생성된 DyVOT를 이용해 기존 정적 온톨로지나 키워드 기반 탐색에 비해 검색해야 할 자원의 량을 줄여 검색의 정확성과 신속성을 향상 시킨다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 가을 학술발표회 논문집
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• pp.445-450
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• 2001

The paper investigates the relationships between dynamic elastic modulus and static elastic modulus or compressive strength according to curing temperature, aging, and cement type. Based on this investigation, the new model equations are proposed. Impact echo method estimates the resonant frequency of specimens and uniaxial compression test measures the static elastic modulus and compressive strength. Type I and V cement concretes, which have the water-cement ratios of 0.40 and 0.50, are cured under the isothermal curing temperature of 10, 23, and 50 $^{\circ}C$. Cement type and aging have no large influence on the relationship between dynamic and static elastic modulus, but the ratio of dynamic and static elastic modulus comes close to 1 as temperature increases. Initial chord elastic modulus, which is calculated at lower strain level of stress-strain curve, has the similar value to dynamic elastic modulus. The relationship between dynamic elastic modulus and compressive strength has the same tendency as the relationship between dynamic and static elastic modulus. The proposed relationship equations between dynamic elastic modulus and static elastic modulus or compressive strength properly estimates the variation of relationships according to cement type, temperature, and aging.

• Steel and Composite Structures
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• 제9권5호
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• pp.473-497
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• 2009

For the spatially coupled free vibration analysis of composite box beams resting on elastic foundation under the axial force, the exact solutions are presented by using the power series method based on the homogeneous form of simultaneous ordinary differential equations. The general vibrational theory for the composite box beam with arbitrary lamination is developed by introducing Vlasov°Øs assumption. Next, the equations of motion and force-displacement relationships are derived from the energy principle and explicit expressions for displacement parameters are presented based on power series expansions of displacement components. Finally, the dynamic stiffness matrix is calculated using force-displacement relationships. In addition, the finite element model based on the classical Hermitian interpolation polynomial is presented. To show the performances of the proposed dynamic stiffness matrix of composite box beam, the numerical solutions are presented and compared with the finite element solutions using the Hermitian beam elements and the results from other researchers. Particularly, the effects of the fiber orientation, the axial force, the elastic foundation, and the boundary condition on the vibrational behavior of composite box beam are investigated parametrically. Also the emphasis is given in showing the phenomenon of vibration mode change.

• Journal of Communications and Networks
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• 제15권5호
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• pp.504-513
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• 2013

Communication in delay tolerant networks (DTNs) relies on message transport by mobile nodes, and a correct understanding of the node mobility characteristics is therefore crucial to the design of an efficient DTN routing protocol. However, previous work has mainly focused on uncovering all behaviors of node movement, which is not conducive to accurately detecting the specific movement characteristics of a different node. In this paper, we seek to address this problem based on a consideration of social relationships. We first consider social ties from both static and dynamic perspectives. For a static perspective, in addition to certain accidental events, social relations are considered for a long time granularity and tend to be stable over time. For a dynamic perspective, social relations are analyzed in a relatively short time granularity and are likely to change over time. Based on these perspectives, we adopted different efficient approaches to dividing node pairs into two classes, i.e., familiar and unfamiliar pairs. A threshold approach is used for static social ties whereas a density-based aggregation method is used for dynamic social relationships. Extensive experimental results show that both familiar and unfamiliar node pairs have the same inter-contact time distribution, which closely follows a power-law decay up to a certain point, beyond which it begins to exponentially decay. The results also demonstrate that the inter-contact time distribution of familiar pairs decays faster than that of unfamiliar pairs, whether from a static or dynamic perspective. In addition, we also analyze the reason for the difference between the inter-contact time distributions of both unfamiliar and familiar pairs.

• 산업경영시스템학회지
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• 제44권3호
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• pp.192-206
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• 2021

The pharmaceutical industry is an industry that provides medicines related to the health and life of the people. The pharmaceutical industry is a traditional regulation industry with the characteristics of R&D(Research and Development), purchasing, manufacturing, distribution and consumption under strict government management. Until now, pharmaceutical companies have continued to make efforts to maintain competitiveness through patent management, new product development, and marketing. However, industries are rapidly changing, including rising costs for developing new products and expanding generic markets. As these changes and uncertainties in the management environment increase, efforts are required to improve the competitiveness of the pharmaceutical industry from a new perspective. In this study, we intend to examine the impact of SCM(Supply Chain Management) dynamic capability of pharmaceutical companies on corporate performance through partnerships to respond to market changes and uncertainties. It was determined that the agility, visibility and flexibility that constitutes the SCM dynamic capabilities would affect the performance of pharmaceutical companies. In this study, the importance of SCM dynamic capabilities and cooperative relationships was identified through surveys by SCM managers of pharmaceutical companies. Consequently, in the pharmaceutical industry, which is a regulatory industry, we have identified that SCM dynamic capabilities and cooperative relationships with partner companies have a significant impact on corporate performance.

• 융합경영연구
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• 제12권4호
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• pp.51-64
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• 2024

Recent studies have introduced that digital transformation positively impacts firm performance. However, research on the relationship between organizational capabilities or attitudes as antecedents or situational variables for successfully driving digital transformation remains limited. Therefore, this study aims to systematically analyze how dynamic digital capabilities and the mutual relationships between organizational members' digital acceptance influence firm performance throughout the process of driving and achieving digital transformation. Research design, data, and methodology: This study developed the concepts and measurement items for each variable based on prior research. A survey was conducted with 258 companies participating in mini clusters within industrial complexes across the county. The data was analyzed using a structural equation model with the AMOS software package. Results: Based on existing literature, hypotheses were formulated regarding the causal relationships among variables, and analysis was conducted. The results indicate that digital transformation and employees' technological acceptance play a mediating role in the relationship between dynamic digital capabilities and firm performance. Specifically, the organization's dynamic digital capabilities enhance both digital transformation and technological acceptance. Moreover, digital transformation leads to higher firm performance when technological acceptance is high. Conclusions: This study has shown the importance of enhancing dynamic digital capabilities as a prerequisite for driving digital transformation and highlighted the significance of organizational members' perceptions and attitudes toward information technology. Particularly, through detailed causal analysis among the specific items of each variable, insights were gained for both academic and practical applications.

• 물과 미래
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• 제29권2호
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• pp.143-151
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• 1996

중간류 유출, 지표표화지역, 흙수분저류량들의 동적 반응을 Richards 방정식을 이용한 수치실험을 통하여 유도하였다. 그리고 수치실험에서 경사면 모양, 토양종류, 경계조건 등을 변화시켜서 지표포화지역-중간류유출 동적 관계 및 지표포화지역-흙수분저류량 동적 관계를 결정하였다. 모의결과에 의하면, 지표포화지역-중간류유출 동적 관계 및 지표포화지역-흙수분 저류량 동적 관계는 각 관계들의 정상류 관계에 의해 근사적으로 설명될 수 있다. 그리고 강우양상이 단순한 펄스입력일지라도 중간류유출 및 지표포화지역의 동적 반응은 중복첨두치에 의해 특징지어지며, 중복첨두치의 발생에 대한 물리적 메케니즘은 "variable source area"의 개념을 이용하여 설명하였다.용하여 설명하였다.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• 소성∙가공
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• 제9권1호
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• pp.72-79
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• 2000

Dynamic recrystallization (DRX), which may occur during hot deformation, is important for the microsturctural evolution of 304 stainless steel. Especially, the current interest in modelling hot rolling demands quantitative relationships among the thermomechanical process variables, such as strain, temperature, strain rate, and etc. Thus, this paper individually presents the relationships for flow stress and volume fraction of DRX as a function of processing variables using torsion tests. The hot torsion tests of 304 stainless steel were performed at the temperature range of 900~110$0^{\circ}C$ and the strain rate range of 5x10-2~5s-1 to study the high temperature softening behavior. For the exact prediction of flow stress, the equation was divided into two regions, the work hardening (WH) and dynamic recovery (DRV) region and the DRX region. Especially, The flow stress of DRX region could be expressed by using the volume fraction of DRX (XDRX). Since XDRX was consisted of the critical strain($\varepsilon$c) for initiation of dynamic recrystallization (DRX) and the strain for maximum softening rate ($\varepsilon$*), that were related with the evolution of microstructure. The calculated results predicted the flow stress and the microstructure of the alloy at any deformation conditions well.