• 한국정보시스템학회지:정보시스템연구
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• 제31권2호
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.652-676
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• 2023

The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.886-895
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• 1996

To fit the desorption isotherm and adsorption isotherm for Pangola grass, the modified Henderson model, Chung-Pfost model, modified Halsey model, and modified Oswin model were used to fit the experimental EMC /ERH data. A step-by -step ERH measuring technique was used in this study. The ERH data were collected at three temperature levels of 5 $^{\circ}C$, $25^{\circ}C$ and 5$0^{\circ}C$ for Pangola grass whole plant, stem , and foliage. The modified Halsey model has the best fit for both desorption isotherm and adsorption isotherm of Pangola grass whole plant as compared with other models.

• Communications for Statistical Applications and Methods
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• 제12권2호
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• pp.521-529
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• 2005

In this paper, we consider a bootstrap method to the 'row and column effects model' (RC model) to analyze a contingency table with ordered variables. We propose a bootstrap procedure for testing of independence, equality of intervals, and goodness of fit in the RC model. A real data example is included.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제34권5호
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• pp.555-561
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• 2008

Purpose: The goal of this study was to develop a technique for creating a computerized composite maxillofacial-dental model, based on point-based surface best fit algorithm and to test its accuracy. The computerized composite maxillofacial-dental model was made by the three dimensional combination of a 3-dimensional (3D) computed tomography (CT) bone model with digital dental model. Materials and Methods: This integration procedure mainly consists of following steps : 1) a reconstruction of a virtual skull and digital dental model from CT and laser scanned dental model ; 2) an incorporation of dental model into virtual maxillofacial-dental model by point-based surface best fit algorithm; 3) an assessment of the accuracy of incorporation. To test this system, CTs and dental models from 3 volunteers with cranio-maxillofacial deformities were obtained. And the registration accuracy was determined by the root mean squared distance between the corresponding reference points in a set of 2 images. Results and Conclusions: Fusion error for the maxillofacial 3D CT model with the digital dental model ranged between 0.1 and 0.3 mm with mean of 0.2 mm. The range of errors were similar to those reported elsewhere with the fiducial markers. So this study confirmed the feasibility and accuracy of combining digital dental model and 3D CT maxillofacial model. And this technique seemed to be easier for us that its clinical applicability can good in the field of digital cranio-maxillofacial surgery.

• 한국조리학회지
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• 제17권4호
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• pp.25-38
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• 2011

본 연구에서는 특급 호텔 직원을 대상으로 경력개발이 개인직무적합성 및 직무만족도에 미치는 영향력을 고찰하였다. 총 353부의 표본을 가지고, 3개의 가설을 구조방정식 모형을 통하여 검증하였으며, 최종 모형의 적합도지수는 ${\chi}^2$=563.417 (p<.001), df=236, CMIN/DF=2.387, RMR=.070, GFI=.881, AGFI=.848, NFI=.921, CFI=.952, RMSEA=.065로 조사되었다. 가설 검증 결과, 호텔 직원의 경력개발 중 경력동질성(${\beta}$=.437), 경력 계획(${\beta}$=.284), 경력관리(${\beta}$=.138)는 직원의 개인직 무적합성에 유의한 영향을 미쳤으며, 직무만족도에 유의한 영향을 미치는 경력개발 요인으로는 경력관리(${\beta}$=.238)인 것으로 나타났다. 더불어 직원의 개인직무적합성(${\beta}$=.637)은 직무만족도에 유의한 영향을 미치는 것으로 조사되었다.

• 한국건설관리학회논문집
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• 제11권1호
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• pp.113-121
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• 2010

정부의 신 재생에너지 분야 투자확대정책과는 달리 08년 발전차액지원 기준가격이 인하된 이후 태양광사업의 추진 건수가 대폭 감소되는 양상을 보이고 있다. 이는 전세계적 금융위기에 따른 재원조달의 어려움이 근본적 원인이기도 하지만, 현행 발전 차액지원 기준가격체계가 적정하지 못한데도 그 원인을 찾을 수 있다. 본 연구에서는 입지와 형식별로 여러 대안을 설정하고, 비용 및 수익의 변동 리스크를 반영하는 기준가격 산정모델(Cost & Benefit Risk Based Purchase Price Process Model : CBRP3 Model)을 제안한다. 발전설비 대안별로 투자비와 발전량의 변동데이터를 산출하여 재무템플릿에 입력한 후 시뮬레이션을 실행하여 대안별 발전원가의 확률분포를 도출하고, 이를 기반으로 기준가격체계를 도출한다. 도출된 기준가격체계와 현행 발전차액지원 기준가격체계를 비교하고, 향후 연구과제를 제시한다.

• 한국인터넷방송통신학회논문지
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• 제22권6호
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• pp.165-171
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• 2022

사람의 심박수는 운동 강도 측정의 기준으로 사용되는 중요한 지표이다. 만약 심박수를 예측한다면 운동 중 운동 강도를 미리 조절하여 효율적으로 운동할 수 있다. 본 논문에서는 FitRec 기반 달리기 운동을 수행하는 사용자의 심박수를 예측하는 모델을 제안한다. 학습을 위해 Endomondo의 데이터를 사용하여 예측 모델에 적용한다. 성능 비교를 위해 시계열 데이터 처리 알고리즘 LSTM(long short term memory)과 GRU(gated recurrent unit)를 사용하였다. FitRec에 유산소 운동 중 달리기 데이터만 학습한 결과 여러 유산소 운동 데이터를 모두 학습한 모델보다 MAE(mean absolute error)와 RMSE(root mean squared error) 둘 다 성능이 향상됨을 확인하였다.

• Asia Marketing Journal
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• 제17권1호
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• pp.123-148
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• 2015

Built on regulatory focus theory, this article develops a research model proposing the relationship between management controls (outcome, activity and capability), sales employees' prevention and promotion focus and their behavioral responses (feedback seeking from different sources and relationship investment). The model also suggests that salesperson perceived organizational fit (P-O fit) contributes by influencing the situational self-regulatory mechanism based on regulatory fit theory. To analyze the data, a structural equation model procedure using LISREL 8.5 was employed. To access the potential common method bias, the MV" marker method was applied using a scale theoretically unrelated to at least one scale in the analysis as the MV marker. The results showed that the greater the salesperson's perceived activity control system, the greater the extent of employee prevention focus. The findings also showed that output control and capability control system are positively related to the promotion focus of salespeople. Salespeople's prevention focus relates negatively to the relational investment and positively to organization feedback seeking. The results indicate that salespeople who have promotion focus exhibit the predicted positive influence on their relationship investment. A significant contribution of this research framework is suggesting salesperson regulatory focus as a mediator and its' effects on different types of sales-related behaviors. The author suggests that the motivational orientations of salespeople play key roles in shaping feedback seeking behaviors from different sources; broadly, that employees with a promotion focus will be more sensitive to customers' feedback, and employees with a prevention focus will seek more feedback from the organization. Furthermore, salespeople with a promotion focus will invest more resources to build relationships with customers than salespeople with a prevention focus. This research also explains the moderating role of person-organization fit on the effect of salespeople's regulatory focus and behavioral responses based on regulatory fit theory

• Fisheries and Aquatic Sciences
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• 제24권4호
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• pp.139-152
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• 2021

The main purpose of this study is to fit catch-per-unit-effort (CPUE) data about Korea chub mackerel (Scomber japonicus) stock with a state-space production (SSP) model, and to provide stock assessment results. We chose a surplus production model for the chub mackerel data, namely annual yield and CPUE. Then we employed a state-space layer for a production model to consider two sources of variability arising from unmodelled factors (process error) and noise in the data (observation error). We implemented the model via script software ADMB-RE because it reduces the computational cost of high-dimensional integration and provides Markov Chain Monte Carlo sampling, which is required for Bayesian approaches. To stabilize the numerical optimization, we considered prior distributions for model parameters. Applying the SSP model to data collected from commercial fisheries from 1999 to 2017, we estimated model parameters and management references, as well as uncertainties for the estimates. We also applied various production models and showed parameter estimates and goodness of fit statistics to compare the model performance. This study presents two significant findings. First, we concluded that the stock has been overexploited in terms of harvest rate from 1999 to 2017. Second, we suggest a SSP model for the smallest goodness of fit statistics among several production models, especially for fitting CPUE data with fluctuations.