• 제목/요약/키워드: critical point equation

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PLS 경로모형을 이용한 IT 조직의 BSC 성공요인간의 인과관계 분석 (A PLS Path Modeling Approach on the Cause-and-Effect Relationships among BSC Critical Success Factors for IT Organizations)

  • 이정훈;신택수;임종호
    • Asia pacific journal of information systems
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    • 제17권4호
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    • pp.207-228
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    • 2007
  • Measuring Information Technology(IT) organizations' activities have been limited to mainly measure financial indicators for a long time. However, according to the multifarious functions of Information System, a number of researches have been done for the new trends on measurement methodologies that come with financial measurement as well as new measurement methods. Especially, the researches on IT Balanced Scorecard(BSC), concept from BSC measuring IT activities have been done as well in recent years. BSC provides more advantages than only integration of non-financial measures in a performance measurement system. The core of BSC rests on the cause-and-effect relationships between measures to allow prediction of value chain performance measures to allow prediction of value chain performance measures, communication, and realization of the corporate strategy and incentive controlled actions. More recently, BSC proponents have focused on the need to tie measures together into a causal chain of performance, and to test the validity of these hypothesized effects to guide the development of strategy. Kaplan and Norton[2001] argue that one of the primary benefits of the balanced scorecard is its use in gauging the success of strategy. Norreklit[2000] insist that the cause-and-effect chain is central to the balanced scorecard. The cause-and-effect chain is also central to the IT BSC. However, prior researches on relationship between information system and enterprise strategies as well as connection between various IT performance measurement indicators are not so much studied. Ittner et al.[2003] report that 77% of all surveyed companies with an implemented BSC place no or only little interest on soundly modeled cause-and-effect relationships despite of the importance of cause-and-effect chains as an integral part of BSC. This shortcoming can be explained with one theoretical and one practical reason[Blumenberg and Hinz, 2006]. From a theoretical point of view, causalities within the BSC method and their application are only vaguely described by Kaplan and Norton. From a practical consideration, modeling corporate causalities is a complex task due to tedious data acquisition and following reliability maintenance. However, cause-and effect relationships are an essential part of BSCs because they differentiate performance measurement systems like BSCs from simple key performance indicator(KPI) lists. KPI lists present an ad-hoc collection of measures to managers but do not allow for a comprehensive view on corporate performance. Instead, performance measurement system like BSCs tries to model the relationships of the underlying value chain in cause-and-effect relationships. Therefore, to overcome the deficiencies of causal modeling in IT BSC, sound and robust causal modeling approaches are required in theory as well as in practice for offering a solution. The propose of this study is to suggest critical success factors(CSFs) and KPIs for measuring performance for IT organizations and empirically validate the casual relationships between those CSFs. For this purpose, we define four perspectives of BSC for IT organizations according to Van Grembergen's study[2000] as follows. The Future Orientation perspective represents the human and technology resources needed by IT to deliver its services. The Operational Excellence perspective represents the IT processes employed to develop and deliver the applications. The User Orientation perspective represents the user evaluation of IT. The Business Contribution perspective captures the business value of the IT investments. Each of these perspectives has to be translated into corresponding metrics and measures that assess the current situations. This study suggests 12 CSFs for IT BSC based on the previous IT BSC's studies and COBIT 4.1. These CSFs consist of 51 KPIs. We defines the cause-and-effect relationships among BSC CSFs for IT Organizations as follows. The Future Orientation perspective will have positive effects on the Operational Excellence perspective. Then the Operational Excellence perspective will have positive effects on the User Orientation perspective. Finally, the User Orientation perspective will have positive effects on the Business Contribution perspective. This research tests the validity of these hypothesized casual effects and the sub-hypothesized causal relationships. For the purpose, we used the Partial Least Squares approach to Structural Equation Modeling(or PLS Path Modeling) for analyzing multiple IT BSC CSFs. The PLS path modeling has special abilities that make it more appropriate than other techniques, such as multiple regression and LISREL, when analyzing small sample sizes. Recently the use of PLS path modeling has been gaining interests and use among IS researchers in recent years because of its ability to model latent constructs under conditions of nonormality and with small to medium sample sizes(Chin et al., 2003). The empirical results of our study using PLS path modeling show that the casual effects in IT BSC significantly exist partially in our hypotheses.

가스 하이드레이트 부존층의 하부 경계면을 규명하기 위한 심도영역 탄성파 구간속도 분석 (Seismic interval velocity analysis on prestack depth domain for detecting the bottom simulating reflector of gas-hydrate)

  • 고승원;정부흥
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2005년도 춘계학술대회
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    • pp.638-642
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    • 2005
  • For gas hydrate exploration, long offset multichannel seismic data acquired using by the 4km streamer length in Ulleung basin of the East Sea. The dataset was processed to define the BSRs (Bottom Simulating Reflectors) and to estimate the amount of gas hydrates. Confirmation of the presence of Bottom Simulating reflectors (BSR) and investigation of its physical properties from seismic section are important for gas hydrate detection. Specially, faster interval velocity overlying slower interval velocity indicates the likely presences of gas hydrate above BSR and free gas underneath BSR. In consequence, estimation of correct interval velocities and analysis of their spatial variations are critical processes for gas hydrate detection using seismic reflection data. Using Dix's equation, Root Mean Square (RMS) velocities can be converted into interval velocities. However, it is not a proper way to investigate interval velocities above and below BSR considering the fact that RMS velocities have poor resolution and correctness and the assumption that interval velocities increase along the depth. Therefore, we incorporated Migration Velocity Analysis (MVA) software produced by Landmark CO. to estimate correct interval velocities in detail. MVA is a process to yield velocities of sediments between layers using Common Mid Point (CMP) gathered seismic data. The CMP gathered data for MVA should be produced after basic processing steps to enhance the signal to noise ratio of the first reflections. Prestack depth migrated section is produced using interval velocities and interval velocities are key parameters governing qualities of prestack depth migration section. Correctness of interval velocities can be examined by the presence of Residual Move Out (RMO) on CMP gathered data. If there is no RMO, peaks of primary reflection events are flat in horizontal direction for all offsets of Common Reflection Point (CRP) gathers and it proves that prestack depth migration is done with correct velocity field. Used method in this study, Tomographic inversion needs two initial input data. One is the dataset obtained from the results of preprocessing by removing multiples and noise and stacked partially. The other is the depth domain velocity model build by smoothing and editing the interval velocity converted from RMS velocity. After the three times iteration of tomography inversion, Optimum interval velocity field can be fixed. The conclusion of this study as follow, the final Interval velocity around the BSR decreased to 1400 m/s from 2500 m/s abruptly. BSR is showed about 200m depth under the seabottom

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종이포트 육묘시 기비로 혼합된 질소 시비수준이 배추와 청경채 생장에 미치는 영향 (Influence of Varied Pre-planting N Levels in a Medium on the Growth of Chinese Cabbage and Pak-choi Seedlings in Paper Pot Raising)

  • 김현철;박명선;장윤아;안세웅;최종명
    • 생물환경조절학회지
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    • 제28권4호
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    • pp.342-351
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    • 2019
  • 종이포트 육묘를 위해 조제한 피트모스(>2.84mm 체를 통과한 비율이 80-90%)와 펄라이트(1~3mm 등급) 혼합상토(7:3, v/v)의 적정 질소 기비 수준을 구명하기 위하여 본 연구를 수행하였다. 기비로 혼합한 질소 농도를 0, 150, 250, 500 및 $750mg{\cdot}L^{-1}$으로 조절하였고, 질소를 제외한 필수원소는 모든 처리에서 동일하게 농도를 조절하였다. 혼합상토를 40-cell 트레이에 충진한 뒤 배추 '춘명봄배추'와 청경채 '하녹청경채'를 파종하였고 파종 후 각각 21일 및 20일 육묘하였다. 파종 후 매주 상토를 수집하여 토양 pH, EC 및 무기원소 농도를 분석하였고, 재배 후 지상부 생장 조사와 식물체 무기원소 함량 분석을 하였다. 생장 기간 동안 상토의 pH는 완만하게 상승하였고, EC는 파종 3주 후 급격히 낮아졌다. 수확 시기에 배추를 육묘한 상토의 pH는 5.3~5.9의 범위로, 청경채를 육묘한 상토는 4.93~5.39의 범위로 측정되었고, 청경채를 육묘한 상토의 pH가 더 낮았다. 작물의 지상부 생장은 배추와 청경채 모두 질소 $250mg{\cdot}L^{-1}$ 처리구에서 우수했으며 질소 무처리구에서 생장이 가장 저조 하였다. 식물체내의 무기원소 함량 분석결과 질소 시비수준이 높을수록 식물체내 질소 함량이 증가하고, P, Ca 및 Mg 함량이 낮아졌다. 질소 시비 수준에 따른 지상부 건물중 변화에서 배추는 $y=-0.0036x^2+0.0021x+0.0635(R^2=0.9826)$, 청경채는 $y=-0.16x^2+0.0009x+0.032(R^2=0.991)$의 회귀관계가 성립하였다. 생장이 가장 우수하였던 처리구의 건물중인 배추 0.40g 및 청경채 0.16g의 90%를 우량묘 생산을 위한 최저한계로 간주할 때 각각 0.36g 및 0.144g의 건물중을 생산해야 한다. 또한 90%에 해당하는 건물중을 회귀식에 대입하여 계산하면 기비로 첨가할 질소 농도를 배추 육묘시 $196{\sim}250mg{\cdot}L^{-1}$으로, 청경채 육묘시 $187{\sim}250mg{\cdot}L^{-1}$으로 조절해야 한다고 판단하였다.

인터넷 구매결정과정에서의 관여도의 조절효과에 관한 연구 (Examining the Moderating Effect of Involvement in the Internet Purchase Decision Process)

  • 곽기영;지소영
    • Asia pacific journal of information systems
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    • 제18권2호
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    • pp.15-40
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    • 2008
  • With the explosive growth of the Internet, Internet shopping malls have become recognized as one of the major purchasing channels for consumers, as well as one of the competitive distribution channels for companies that allow them to contact with customers without intermediaries. It has motivated information systems(IS) researchers to examine the factors influencing consumer behavior and the purchase decision process in the context of Internet shopping malls. Despite the extensive research that has been conducted on the purchase decision process of consumers in online shopping malls, the results have demonstrated a need for further understanding of consumer behavior due to the unique features of virtual space and the characteristics of online consumers. Previous studies from marketing and consumer behavior domains have suggested that the concept of involvement plays an important role in explaining consumers' purchase behavior. Despite the critical role of involvement and the explosive growth of e-commerce, little research has examined the role of involvement in the Internet shopping mall context. With this motivation, this study has two research objectives. First, it introduces and tests an theoretical model capable of better explaining consumers' intention to purchase in the Internet shopping mall context. The proposed model extends and integrates existing models on purchase intention by incorporating purchase experience, innovativeness, and perceived self-control as the consumer factors, along with perceived risk, information provision, and perceived price as the Internet shopping mall factors. Second, this study examines how involvement differences may affect consumers' intention to purchase. For this purpose, two factors from involvement theory, involvement type and involvement level, are introduced into the research model as moderating variables. In order to test the proposed model, the overall approach employed was a field study using the structural equation model. We developed our data collection instrument by adopting existing validated questions wherever possible. All question items were measured with a seven-point, Likert-type scale, with anchors ranging from 'strongly disagree' to 'strongly agree.' Two IS researchers reviewed the instrument and checked its face validity. We collected empirical data for this study over a period of two weeks from subjects who had purchase experiences through Internet shopping malls. A total of 473 complete and valid responses were obtained. We carried out data analysis using a two-step methodology with AMOS 4.0. The first step in the data analysis was to establish the convergent and discriminant validity of the constructs. In the second step, we examined the structural model based on the cleansed measurement model. The empirical results partly support the proposed model and identify the moderating effect of involvement differences. Theoretical and practical implications of the study are discussed, along with its limitations.

온실보온(溫室保溫)을 위한 상변화(相變化) 물질(物質)의 축열특성연구(蓄熱特性硏究) (Study on the Thermal Storage Characteristics of Phase Change Materials for Greenhouse Heating)

  • 송현갑;유영선;김영복
    • 태양에너지
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    • 제13권2_3호
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    • pp.65-78
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    • 1993
  • 자연적인 기후조건하에서 농산물을 생산하는 재래식 농업으로부터 계절을 초월하는 시설 농업이 파생 발전함에 따라 태양에너지이외의 화석에너지 사용이 급증하고 있으며, 이로 인한 농산물 가격상승과 품질저 하는 물론이고, 농촌환경을 오염시키고 있다. 이와 같은 문제를 근원적으로 해결하기 위해서는 태양에너지 농업이용을 극대화 하여야 하며, 이를 실현하기 위해서는 동적이며, 순간적 공급의 특성을 갖는 태양에너지를 정적이며, 조절이용이 가능한 에너지로 전환하여야 한다. 이런 필요성에 부응하여 본 연구에서는 태양에너지를 저장할 수 있는 상변화 잠열재를 선택하였으며, 축열특성을 분석하므로서 다음과 같은 결과를 얻을 수 있었다. 유기 잠열재, $C_{28}H_{58}$은 안정된 물성을 가지고 있기 때문에 400 사이클의 상변화 후에도 열특성 변화가 없었으나, 무기 잠열재($CH_3COONa{\cdot}3H_2O,\;Na_2SO_4{\cdot}10H_2O$)는 불안정한 물성을 가지고 있기 때문에 조핵제와 농화제를 사용하여 $400{\sim}600$ 사이클의 상변화 후에 나타나는 열특성 변화를 최소화 하였다. 잠열량이 최대가 되는 결정핵의 임계반경을 수식으로 정리하므로서 잠열량 감소현상을 억제할 수 있는 방법을 찾는데 도움을 줄 수 있었다. 유기 잠열재, $C_{28}H_{58}$의 상변화 온도는 $62^{\circ}C$였으며, 잠열량은 $50{\sim}52$ kcal/kg이었고, 고상비열, $C_{ps}$$0.572{\sim}0.750kcal/kg^{\circ}C$였으며, 액상비열, $C_{pL}$$0.540{\sim}0.690kcal/kg^{\circ}C$였다. 무기 잠열재, $CH_3COONa{\cdot}3H_2O$의 상변화 온도는 $61{\sim}62^{\circ}C$였으며, 잠열량은 $64.9{\sim}65.8$ kcal/kg이었고, 고상 비열, $C_{ps}$$0.510{\sim}0.520kcal/kg^{\circ}C$였으며, 액상비열, $C_{pL}$$0.83kcal/kg^{\circ}C$였다. 무기 잠열재, $Na_2SO_4{\cdot}10H_2O$는 물성안정제를 가한 상태의 시약수준에서는 상변화 온도가 $29.72^{\circ}C$였고, 잠열량은 53.0 kcal/kg이었으며, 고상비열, Cps는 $0.742kcal/kg^{\circ}C$이었고, 액상비열, $C_{pL}$$1.002kcal/kg^{\circ}C$였다. 공업용 수준에서는 상변화 온도가 시약수준의 경우보다 약간 높은 $30{\sim}30.9^{\circ}C$였으며, 비열은 고상에서 $0.50{\sim}0.7kcal/kg^{\circ}C$였고, 액상에서 $0.78{\sim}0.89kcal/kg^{\circ}C$였다. SSD($Na_2SO_4{\cdot}10H_2O$)에 urea를 첨가함으로서 상변화 온도와 잠열량이 변하였으며, urea 함량을 $0{\sim}7.5wt%$로 변화시킴에 따라 상변화 온도는 $29.72^{\circ}C$에서 $25.18^{\circ}C$로 낮아졌으며, 잠열량은 53.0 kcal/kg에서 38.5 kcal/kg으로 감소하였다. Greenhouse 보온용으로 urea를 21.85% 첨가하고, 상변화를 $0{\sim}600$ 사이클까지 반복한 경우 상변화 온도는 $16.7^{\circ}C$에서 $16.0^{\circ}C$로 낮아졌고, S.V를 첨가하지 않은 경우 잠열량은 46.22 kcal/kg에서 36.30 kcal/kg으로 감소하였으나, 비열은 큰 변화가 없었다. 상변화 사이클의 증가에 의한 열특성의 감쇠현상을 줄이기 위하여 S.V를 $0{\sim}1.5wt%$ 첨가한 결과 S.V 0.5wt% 이하에서는 약간의 효과가 있었으나, 그 이상에서는 효과적인 증후가 없었다.

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사용자환경의 메타포가 스마트폰 애플리케이션 사용의도에 미치는 영향 (The Effects of Metaphors in the Interface of Smartphone Applications on Users' Intention to Use)

  • 정원진;홍석기
    • Asia pacific journal of information systems
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    • 제24권3호
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    • pp.255-279
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    • 2014
  • It is not too much to say that smartphones have become an essential part of our lives due to their versatility. Nevertheless, they still have less overall capabilities than their desktop counterparts. Specifically, they have small screens and low resolutions, which make their applications difficult to have a usable interface. To account for these limitations, the interface of smartphone applications should be designed carefully and properly. Good interface design to any application is critical. However, a comprehensive information systems (IS) literature review found that there has been little research on the user interface design of smartphone applications. More specifically, there has been little empirical evidence and understanding about how metaphors, an imaginative way of describing objects and concepts, in the user interface of smartphone applications affect users' intention to use the applications. Thereby, the research goals of this study are to examine 1) the effects of the metaphors in the user interface of smartphone applications on the interaction between users and applications and 2) the effects of mediating variables including the interaction between users and applications, users' beliefs and attitudes, on users' intention to use the applications. A survey was conducted to collect data. University students and practitioners participated in the survey. A 24-item questionnaire was developed on a 5-point Likert-type scale. The measurement items were mostly adapted from the previous studies in the IS literature and modified to fit the context of this study. First, a principal component factor analysis was performed to explore the inter-relationships among a set of variables. The analysis showed that most of the items loaded quite strongly on the six components. The analysis also revealed the six components with eigenvalues exceeding 1, explaining a total of 70.7 per cent of the variance. The reliabilities of the items were also checked. Most Cronbach alpha values were above 0.8, so the scales were considered reliable. In sum, the results of the analysis support the decision to retain the six factors for further investigation. Next, the structural model was analyzed with AMOS structural equation modeling. The values of GFI, AGFI, NFI, TLI, CFI, and RMSEA were checked. The values showed that the research model considerably have a good fit in general. Next, the convergent and discriminant validities of all constructs were examined. The values for the standardized regression weights and critical ration (CR) indicated sufficient convergent validity for all constructs. In addition, the square root of the average variance extracted (AVE) of each construct was compared with its correlations with all other constructs. The results supported discriminant validity for all constructs. In sum, the results of analysis demonstrated adequate convergent and discriminant validities for all constructs. Finally, path coefficients between the variables were examined. Methphor was found to have an impact on interaction (${\beta}$ = .457, p = .000). There were also significant effects of the interaction on perceived usefulness (${\beta}$ = .273, p = .000) and ease of use (${\beta}$ = .405, p = .000). User attitude was significantly influenced by these two beliefs, perceived usefulness (${\beta}$ = .386, p = .000) and ease of use (${\beta}$ = .347, p = .000) respectively. Further, the results of analysis found that users' intention to use smartphone applications was significantly influenced by user attitude (${\beta}$ = .567, p = .000). Based upon the analyses, all hypotheses were supported. This study found that the metaphors used in the interface of smartphone applications affect not only the interaction between users and applications, but also users' intention to use the applications through the mediating variables, perceived usefulness and ease of use. These findings imply that if the metaphors used in the user interface of application are easy enough to understand for smartphone users, then the application can be perceived useful and easy to use, which in turn make users to have an intention to use the application. In conclusion, this study contributed not only to validate and extend Technology Acceptance Model (TAM) partially, but also to develop the construct of metaphor in smartphone settings. However, since a single empirical study cannot be enough to validate the findings, some limitations should be considered.