• 경영과학
• /
• 제27권3호
• /
• pp.71-86
• /
• 2010

The purpose of this research is to identify the factors of self-determination theory (e.g., autonomy, competence, and relatedness) affecting flow, satisfaction, and loyalty. This research uses structural equation modeling (SEM) to confirm the validity and analyzes the causal relationship of the suggested model. The results indicate that competence and relatedness positively influence flow and that autonomy positively influences satisfaction. First, autonomy is significantly shown to influences satisfaction and does not significantly influence flow. Second, that competence significantly influenced flow and indirectly influenced satisfaction. Third, relatedness significantly influenced flow and indirectly influenced satisfaction. Finally, flow influenced satisfaction, and flow and satisfaction directly and indirectly influenced loyalty.

• 대한가정학회지
• /
• 제47권7호
• /
• pp.73-82
• /
• 2009

The purpose of this study was to examine the effect of perceived justice associated with service recovery on perceived service quality, and the relationships among perceived service quality, customer satisfaction and behavioral intentions in online apparel shopping contexts. Justice theory provided the theoretical framework for this study. The research strategy employed an online survey methodology. Online shoppers (N=669) who had experiences in service failure and dissatisfactions completed a questionnaire. The model of the study was tested by structural equation modeling (SEM) and the results of SEM revealed positive effect of perceived justice regarding service recovery on perceived service quality, positive effect of perceived service quality on customer satisfaction, and positive effect of customer satisfaction on behavioral intention. The results of this study have implications for online retailers. Online retailers need to understand the importance of service recovery by which service failures are managed.

• 마케팅과학연구
• /
• 제17권2호
• /
• pp.75-97
• /
• 2007

Less than 3% of India's food basket, consists of processed food, therefore processed food can be viewed as an innovation or new product to Indian consumers. This research investigates the effects of product familiarity and reference groups on Indian consumers' attitudes and purchase behavior of new processed food products. For the study, the model is developed by modifying Cambel and Goodstein's (2001) "Moderate Incongruity Effect" to include important cross-cultural influences on attitudes and purchase decisions among Indian consumers. Empirical analysis was conducted through structural equation modeling (SEM). SEM results indicated that reference group influence has a stronger positive effect on consumers' attitudes and actual purchase behavior of more familiar processed foods than of less familiar processed food. In addition, attitudes have a stronger positive effect on consumers' actual purchase of more familiar than of less familiar processed foods.

• 아동학회지
• /
• 제27권3호
• /
• pp.67-79
• /
• 2006

The present study examined predictors of children's problem solving using structural equation modeling(SEM). Participants were 410 dyads of 2nd- and 6th-grade children and their mother or father. Children and their parents responded to questionnaires. Instruments were the PSI(Parent Behavior Inventory, 1998), CES-D(Center for Epidemiological Scale-Depression, for children's depression, 1977) Sherer's(1982) self-efficacy scale, and the Problem Solving Inventory(Heppner & Petersen, 1982). In both grades, warmth in parenting behavior affected children's self-efficacy, which in turn contributed to their problem solving. Rejection in parenting behavior had positive effects on problem solving through increasing self-efficacy in 2nd graders only. Results implied importance of self-efficacy and developmentally appropriate parenting to improve children's problem solving.

• Asia pacific journal of information systems
• /
• 제33권4호
• /
• pp.934-956
• /
• 2023

This study focuses on the adoption of Healthcare Information System (HIS) in India's healthcare services, which has led to an increased use of HIS software for managing patient information in hospitals. The study aims to evaluate the factors that influence hospital workers' satisfaction with HIS usage and its impact on their intention to continue in the use of HIS. Primary data was collected through a survey questionnaire from 265 hospital workers. A new framework was developed, and Structural Equation Modeling (SEM) was used for analysis. Sensitivity analysis was also conducted on demographic data using an Artificial Neural Network (ANN) approach. The results indicated that all hypotheses were significant (p < 0.05). Effort expectancy was the most significant factor influencing hospital workers' satisfaction (p < 0.01). Sensitivity analysis showed that education (Model-A) and experience in use of HIS (Model-B) were the most important factors. The study contributes by proposing a new theoretical framework and extending the previous research on HIS usage satisfaction. Overall, the study highlights the importance of easiness and usefulness in predicting HIS usage satisfaction.

• Structural Engineering and Mechanics
• /
• 제60권4호
• /
• pp.655-665
• /
• 2016

This paper aims to develop models to accurately predict the behavior of fresh concrete exposed to vibration using artificial neural networks (ANNs) model and regression model (RM). For this purpose, behavior of a full scale precast concrete mold was investigated experimentally and numerically. Experiment was performed under vibration with the use of a computer-based data acquisition system. Transducers were used to measure time-dependent lateral displacements at some points on mold while both mold is empty and full of fresh concrete. Modeling of empty and full mold was made using both ANNs and RM. For the modeling of ANNs: Experimental data were divided randomly into two parts. One of them was used for training of the ANNs and the remaining part was used for testing the ANNs. For the modeling of RM: Sinusoidal regression model equation was determined and the predicted data was compared with measured data. Finally, both models were compared with each other. The comparisons of both models show that the measured and testing results are compatible. Regression analysis is a traditional method that can be used for modeling with simple methods. However, this study also showed that ANN modeling can be used as an alternative method for behavior of fresh concrete exposed to vibration in precast concrete structures.

• 한국수자원학회논문집
• /
• 제54권3호
• /
• pp.145-156
• /
• 2021

우리나라와 세계 곳곳에서는 대형 산불이 빈번하게 발생하고 있으며, 이로 인한 피해가 증가하고 있다. 우리나라에서 산불은 대부분 입산자 실화, 소각 산불 등의 인위적인 원인으로 발생하지만, 기온과 습도, 풍속 등의 기상인자는 산불의 연소 환경에 큰 영향을 미친다. 본 연구에서는 최근 5년간 경기도 지역에서 발생한 산불을 바탕으로, 산불 발생에 영향을 미치는 요인으로 온도, 습도, 풍속, 강수, 가뭄 요인을 선정하여 이들 간의 인과관계를 정량적으로 평가하였다. 분석을 위한 기법으로 인과관계의 발견 및 잠재변수의 예측에 적합한 부분최소제곱 구조방정식모형을 활용하였다. 연구 모형의 평가 결과, 본 연구에서 구축한 측정모형과 구조모형은 6가지 평가기준 모두에서 통계적으로 유의한 것으로 나타났다. 영향정도를 표준화된 경로계수로 표현하면, 기상학적 요인인 습도, 온도 그리고 풍속은 산불 발생에 각각 -0.42, 0.23, 0.15만큼의 영향을 나타내며, 수문학적 요인인 가뭄은 산불 발생에 0.23만큼의 영향요인으로 작용하는 것으로 나타났다. 따라서 본 연구는 실제 적용가능한 방법으로써 산불 영향요인의 분석과 이에 대한 평가, 그리고, 산불 재난의 대응·대비 계획 수립에 활용될 수 있을 것이다.

• 디지털융복합연구
• /
• 제16권7호
• /
• pp.79-88
• /
• 2018

기업의 내부 고객인 사원들의 사기(Morale)에 대한 연구들은 많이 발표되어 있지만, 군대에서 전투력 향상과 밀접한 역할을 하고 있는 군사기에 관련된 연구들은 많이 부족한 상황이다. 따라서 본 논문은 SNS의 특성을 통해 커뮤니케이션 만족이 군의 사기에 어떻게 영향을 미치는 지에 관해 알아보고자 연구하였다. 실증적인 검증을 위하여 본 연구에서는 군인 240명을 대상으로 설문을 진행하여 수집된 결과를 분석하였다. 분석방법은 구조방정식(SEM)을 사용하여 각 변수들 간의 상관관계에 대하여 알아보고자 하였다. 본 논문의 연구 결과, SNS 특성이 조직 커뮤니케이션 만족에 관련된 전체모형에 대해 정(+)의 영향을 미치는 결과가 나타났다. 그리고 조직 커뮤니케이션 만족은 군의 사기에 대해 정(+)의 영향을 미치는 것으로 검증되었으며, 조직 커뮤니케이션 만족은 군사기와 SNS특성 간에 매개역할을 하는 것으로 증명되었다. 본 연구를 통해 적당한 수준에서의 SNS를 활용한 군내 조직원들의 커뮤니케이션의 활성화를 통해 장병들의 사기를 증진을 도모하고자 한다.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권4호
• /
• pp.125-134
• /
• 2021

This study aimed to explore the factors affecting the foreign direct investment (FDI) intentions of investors into Quang Ninh province, located in the north-eastern of Viet Nam. Researchers used two main methods, namely, Exploratory Factors Analysis (EFA) and the Structural Equation Model (SEM) based on partial least squares structural equation modeling (PLS SEM) to explore and measure the impact of factors affecting the investors' FDI intentions into Quang Ninh province. The empirical analysis used data from the survey of 206 domestic and foreign investors into Quang Ninh province, including representatives of the Board of Directors, members, and management representatives at the department level, with reliable tools (SPSS 26 and SmartPLS 3.0 software). The research results identified the following factors affecting investment into Quang Ninh: FDI attraction policies have the strongest impact on the investors' FDI intentions; it is followed by infrastructure, public services and human capital with strong effects on intentions of investors' FDI; and finally the standards of living that affects the investors' FDI intentions. There is also a positive relationship between all the factors and the investors' FDI intentions. Several recommendations are further suggested to enhance attraction of foreign direct investment into Quang Ninh province.

• 벤처창업연구
• /
• 제10권2호
• /
• pp.11-16
• /
• 2015

본 연구에서는 조직 내 생산부문에서 전개되는 혁신활동에 대한 최고경영자 및 구성원의 관심과 참여가 궁극적으로 기업경영성과에 어떤 영향을 미치는지를 구조방정식을 적용하여 살펴보고자 한다. 이를 바탕으로 기업 내 혁신활동의 성공을 위한 실천적인 방안을 찾고, 많은 기업에서 공유함으로써 보다 효율적인 혁신활동을 전개할 수 있도록 지원하기 위함이다. 본 연구는 중소기업 277개사를 대상으로 한 설문조사를 바탕으로 이루어졌으며, 수집된 설문자료는 데이터의 신뢰성과 타당성을 검토한 후 구조방정식을 이용한 모형의 설계 및 검증 과정을 통해 진행하였다. 그 결과 경영자에 의한 비전제시와 혁신활동지원 등에 대한 확고한 의지표명이 조직구성원 입장에서 혁신활동의 토대가 되는 교육 및 소집단활동, 제안활동 참여에 적극 가담하도록 영향을 미치고 있을 뿐만 아니라, 혁신활동의 성과 제고에도 유의한 영향을 미치는 것을 확인하였다. 또한 작업자의 교육 및 활동 참여의지가 혁신활동성과에 직접적인 영향을 끼치는 것도 확인할 수 있었으며, 결과적으로 매출액 증대, 영업이익률 증대, 원가절감 등과 같은 기업의 경영성과에도 긍정적인 작용을 하고 있음을 알 수 있다.