• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.75-97
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• 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.

• Korean Journal of Child Studies
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• v.27 no.3
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• pp.67-79
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• 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
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• v.33 no.4
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• pp.934-956
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• 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
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• v.60 no.4
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• pp.655-665
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• 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.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.145-156
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• 2021

Forest fires have frequently occurred around the world, and the damages are increasing. In Korea, most forest fires are initiated by human activities, but climate factors such as temperature, humidity, and wind speed have a great impact on combustion environment of forest fires. In this study, therefore, based on statistics of forest fires in Gyeonggi-do over the past five years, meteorological and hydrological factors (i.e., temperature, humidity, wind speed, precipitation, and drought) were selected in order to quantitatively investigate causal relationships with forest fire. We applied a partial least squares structural equation model (PLS-SEM), which is suitable for analyzing causality and predicting latent variables. The overall results indicated that the measurement and structural models of the PLS-SEM were statistically significant for all evaluation criteria, and meteorological factors such as humidity, temperature, and wind speed affected by amount of -0.42, 0.23 and 0.15 of standardized path coefficient, respectively, on forest fires, whereas hydrological factor such as drought had an effect of 0.23 on forest fires. Therefore, as a practical method, the suggested model can be used for analyzing and evaluating influencing factors of forest fire and also for planning response and preparation of forest fire disasters.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.79-88
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• 2018

Previously, there have been many studies on the fraud of employees, internal customers of the company, but there have been a lot of studies on military affairs that are closely related to the improvement of army's combat power. Therefore, this study investigates how communication satisfaction is influenced by the characteristics of SNS. For empirical verification, 240 soldiers were surveyed in this study. The analysis method was to investigate the correlation between each variable using the Structural Equation Model (SEM). The results of this study show that the SNS characteristics have a positive effect on the overall model related to organizational communication satisfaction. Organizational communication satisfaction has a positive impact on military fraud and organizational communication satisfaction has been shown to mediate between army and SNS traits. Through this research, we intend to promote the morale of soldiers by activating communication among group members using appropriate level of social networking.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.125-134
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• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.11-16
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• 2015

A lot of factor effects on the enterprise's innovation and business performance, for instance CEO and members intention etc.. Niehoff et al. says, The success factors of innovation enterprise's management lead to members of vision, innovation, innovation activities and support for an aggressive attitude of the enterprise members. However, today's products consumers wanted diverse and complex needs. CEO and members of the enterprise has been the diversity effort. The increase cost savings as well as in the profit improve factors that enterprise's participated a education and training, Subgroup activities, process quality, eliminate waste, improve yields, lead time reduction, process capability increasing, ets. This paper is a report of an empirical survey performed to 277 small and medium-sized enterprise in the korea. Cronbach's alpha coefficient is employed to analyze the reliability of the data. The effect analysis of each group is performed by the SEM(structural equation model). We use the SPSS' Amos program to analyze the equation modeling and test the hypotheses of the model.

• Structural Engineering and Mechanics
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• v.45 no.1
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• pp.69-93
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• 2013

The present study deals with the dynamics of the flapwise (out-of-plane) vibrations of a rotating, internally damped (Kelvin-Voigt model) tapered Bernoulli-Euler beam carrying a heavy tip mass. The centroid of the tip mass is offset from the free end of the beam and is located along its extended axis. The equation of motion and the corresponding boundary conditions are derived via the Hamilton's Principle, leading to a differential eigenvalue problem. Afterwards, this eigenvalue problem is solved by using Frobenius Method of solution in power series. The resulting characteristic equation is then solved numerically. The numerical results are tabulated for a variety of nondimensional rotational speed, tip mass, tip mass offset, mass moment of inertia, internal damping parameter, hub radius and taper ratio. These are compared with the results of a conventional finite element modeling as well, and excellent agreement is obtained.

• Structural Engineering and Mechanics
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• v.82 no.5
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• pp.629-641
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• 2022

This study deals with the spinning impact on flap-wise vibration characteristics of nonlocal functionally graded (FG) cylindrical beam based on the Hyperbolic shear deformation beam theory. The nonlocal strain gradient theory is used to investigate the small-scale impact on the nonlocal motion equation as well as corresponding nonlocal boundary conditions. Based on the mathematical simulation and according to the Hamilton principle, the computerized modeling of a rotating functionally graded nanotube is generated, and then, via a numerical approach, the obtained mathematical equations are solved. The calculated outcomes are helpful to the production of Nano-electro-mechanical-systems (NEMS) by investigating some designed parameters such as rotating speed, hub radius, length-scale parameters, volume fraction parameters, etc.