• Structural Engineering and Mechanics
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• v.15 no.6
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• pp.669-683
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• 2003

The stochastic optimal nonlinear control of coupled adjacent building structures is studied based on the stochastic dynamical programming principle and the stochastic averaging method. The coupled structures with control devices under random seismic excitation are first condensed to form a reduced-order structural model for the control analysis. The stochastic averaging method is applied to the reduced model to yield stochastic differential equations for structural modal energies as controlled diffusion processes. Then a dynamical programming equation for the energy processes is established based on the stochastic dynamical programming principle, and solved to determine the optimal nonlinear control law. The seismic response mitigation of the coupled structures is achieved through the structural energy control and the dimension of the optimal control problem is reduced. The seismic excitation spectrum is taken into account according to the stochastic dynamical programming principle. Finally, the nonlinear controlled structural response is predicted by using the stochastic averaging method and compared with the uncontrolled structural response to evaluate the control efficacy. Numerical results are given to demonstrate the response mitigation capabilities of the proposed stochastic optimal control method for coupled adjacent building structures.

• The Journal of Information Systems
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• v.25 no.4
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• pp.63-85
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• 2016

Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

• Management & Information Systems Review
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• v.7
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• pp.187-210
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• 2001

The purpose of this study is to develop an framework for the marketing performance evaluation of POS system by the theoretical model for evaluation of information system and the empirical data of Super-chains. This study were empirically examined an effect of POS system and its information quality on POS information use and another effect of POS information use on marketing performances of firms using POS system. Also, in order to achieve this purpose, a literature survey on MIS and marketing was conducted. In this study, the structural equation model(SEM) was established for verifying the relationship of above variables. And, several hypothesis were established and examined empirically from that SEM. In conclusion POS system and its information quality influenced positively on POS information use, and that information use influenced on marketing performance as the effectiveness of POS system operations.

• 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.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.1-34
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• 2019

The concept of e-Government was first developed and implemented in industrialised countries. Consequently, it should not be assumed that this concept is automatically appropriate for developing countries. This study aims to examine the roles of perceived support quality and support satisfaction in the context of government-to-citizen (G2C) transactions towards behavioural intention and usage in developing countries. To test the proposed model, the official website of Kuwait Government Online Services (KGOS) was selected. A survey with a total of 628 responses was analysed using Structural Equation Modelling (SEM) to investigate the goodness of fit of the model and the underlying indicators. The findings confirm the significance of support quality perceived by citizens and provide insights to explain citizens' intention to use e-Government systems.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.499-512
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• 2013

Purpose: Quality Innovation Managements recently focus on developing relationship with customers to meet their requirements and enhance loyalty in the competitive environments in Countries. The purpose of this study is to explore the effects of innovation, quality, satisfaction and customer loyalty. Methods: After reviewing the literatures, the structural equation modeling (SEM) was conducted test the research model. The data was collected from Quality Leader by the questionnaire In Korea and China. Results: The results of SEM show that hardware innovation quality have a positive effect on customer satisfaction. Customer Satisfaction have a positive effect on customer satisfaction. Conclusion: The authors demonstrate that the hardware innovation quality is related positively to customer satisfaction. And customer satisfaction has a positive effect on customer loyalty. A number of notable findings are reported including the empirical verification that hardware innovation quality, customer satisfaction, and customer loyalty may all be directly related to business performance.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3628-3638
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• 2023

This paper uses 135 Licensed Operator Event Reports (LOER) from Chinese nuclear plants to analyze how safety culture affects unsafe behaviors in nuclear power plants. On the basis of a modified human factors analysis and classification system (HFACS) framework, structural equation model (SEM) is used to explore the relationship between latent variables at various levels. Correlation tests such as chi-square test are used to analyze the path from safety culture to unsafe behaviors. The role of latent error is clarified. The results show that the ratio of latent errors to active errors is 3.4:1. The key path linking safety culture weaknesses to unsafe behaviors is Organizational Processes → Inadequate Supervision → Physical/Technical Environment → Skill-based Errors. The most influential factors on the latent variables at each level in the HFACS framework are Organizational Processes, Inadequate Supervision, Physical Environment, and Skill-based Errors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.471-480
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• 2015

The market of public-private partnership (PPP) projects has reduced from 9.4 trillion won in 2007 to 4.5 trillion won in 2012. However, the need of PPP projects is brought up by a massive down scale of government financial business. Previous studies regarding PPP projects mostly evaluate profitability from the financial perspective or analyze risk factors as a whole. Although PPP projects generally have complex structure involving diverse stakeholders, such as contractor, financial investor, and special purpose company (SPC) operators, existing studies have rarely considered the different viewpoints of PPP project stakeholders. Therefore, purpose of this study is to develop a structural equation model (SEM) considering the diverse stakeholders of PPP projects. To this end, the authors first reviewed the organizational structure of PPP projects. Next, the identification of the factors affecting project profitability are done via comprehensive literature reviews. After that, we conducted in-depth interviews and questionnaire surveys to reflect stakeholders' perspectives (contractors, financial investors, and SPC operators). As a result, a SEM model is developed to analyze direct and indirect effect on the PPP project performances. Finally, using the analysis results, relevant implications and directions for improvements are discussed. The prediction of the business performance of contractor, financial investor, and SPC operator is expect to be possible through the model developed and supports the strategy deduction that is appropriate for the participants.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.13-31
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• 2014

This study attempts to analyze relational structures among service failure-related variables after the moderation of fairness in the beauty service industry with the following purposes: First, it aims to review and investigate service failure & service recovery strategies, non-switching intentions after recovery, revisit intention, the intent to provide word-of-mouth recommendations and previous studies on service failure and recovery in the beauty service industry. Second, it targets the analysis of the role of fairness as a variable that moderates relations between service recovery strategies and post-recovery satisfaction in the beauty service industry. For this, the following research method was used: This study has investigated the effect of service failure and its recovery strategies (behavioral recovery strategy, psychological recovery strategy, monetary recovery strategy) on customer satisfaction for beauty service users and used the Structural Equation Model (SEM) to further analyze and verify the effect of the satisfaction on post-satisfaction behavior (non-switching intention, repurchase intention and the intent to provide word-of-mouth recommendations). The SEM was divided into a measurement model and structural model to determine if the model is appropriate and estimate the parameters of the path coefficient. In addition, this study examined to see if fairness (procedural fairness, distributive fairness and interactive fairness) works as a moderating variable while the service recovery efforts affect customer satisfaction. Then, the role of service recovery strategies, targeted to satisfy the customers who were dissatisfied because of service failure, were investigated. In addition, its effect on post-satisfaction behavior was analyzed from the structural aspect, and the moderating role was examined as well. Then, the role of the service recovery strategy, which can be used to satisfy dissatisfied customers, was examined, and the effect of the satisfaction on customer behavior was analyzed from a structural perspective. In addition, the moderating role of fairness was tested. As a result, this study is significant in that it helps service providers formulate service recovery-related strategies.

• Structural Engineering and Mechanics
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• v.70 no.6
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• pp.737-750
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• 2019

This paper investigates the static and dynamic behaviors of imperfect single walled carbon nanotube (SWCNT) modeled as a beam structure by using energy-equivalent model (EEM), for the first time. Based on EEM Young's modulus and Poisson's ratio for zigzag (n, 0), and armchair (n, n) carbon nanotubes (CNTs) are presented as functions of orientation and force constants. Nonlinear Euler-Bernoulli assumptions are proposed considering mid-plane stretching to exhibit a large deformation and a small strain. To simulate the interaction of CNTs with the surrounding elastic medium, nonlinear elastic foundation with cubic nonlinearity and shearing layer are employed. The equation governed the motion of curved CNTs is a nonlinear integropartial-differential equation. It is derived in terms of only the lateral displacement. The nonlinear integro-differential equation that governs the buckling of CNT is numerically solved using the differential integral quadrature method (DIQM) and Newton's method. The linear vibration problem around the static configurations is discretized using DIQM and then is solved as a linear eigenvalue problem. Numerical results are depicted to illustrate the influence of chirality angle and imperfection amplitude on static response, buckling load and dynamic behaviors of armchair and zigzag CNTs. Both, clamped-clamped (C-C) and simply supported (SS-SS) boundary conditions are examined. This model is helpful especially in mechanical design of NEMS manufactured from CNTs.