• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.6
• /
• pp.2069-2085
• /
• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.169-180
• /
• 2021

The research aims to evaluate college students' financial behavior and provide empirical insight into factors that may influence their financial behavior by investigating whether financial socialization, financial experience, and financial literacy are meaningful for students' financial behavior. The surveys data was conducted with 595 college students from all over Indonesia then analyzed using Structural Equation Model (SEM). The results demonstrate that financial socialization positively influences financial literacy and financial behavior. On the other hand, financial experience has a negative influence on financial literacy, yet a positive one on financial behavior. Furthermore, the result also shows financial socialization are the key determinant of financial literacy and financial literacy is vital and plays an essential role for financial behavior and it may derive from financial socialization and financial literacy. It indicates that the influence of social agents can benefit students in improving their financial literacy and behavior. However, experience also can influence their financial behaviors. The lack of experience of college students leads to inadequate financial knowledge and raises their risk of financial decisions. Students with sufficient financial knowledge and exhibiting good financial behavior can make wise decisions in financial planning and management, thus may prevent financial issues in the future.

• Health Policy and Management
• /
• v.32 no.1
• /
• pp.29-44
• /
• 2022

Background: This study was conducted to analyze the impact of having a usual source of care on health behaviors of the middle aged and the elderly, in order to investigate the potential effect of enhancing primary health care in a Korean context. Methods: This study constructed a balanced panel of middle-aged and elderly samples using the Korea Health Panel 2016-2018, and fixed-effect models were used to analyze the data. Results: Among three sets of dependent variables (physical activity, smoking, drinking), statistically significant results were found only in physical activity. Subgroup analysis showed that this effect was not observed in the late elderly (aged 75 and older) and those without chronic diseases. Conclusion: Results of the study implied that enhancing primary health care among middle age and the elderly may have an effect on improving health behaviors. Moving forward to person-centered primary health care from disease-focused primary health care should be considered in high-risk groups such as the middle aged and the elderly with chronic diseases.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.1114-1121
• /
• 2022

Construction laborers and crews play a critical role in achieving a safe and productive construction site. Many past research studies used top-down approaches/perspectives for studying the impact of laborers' performance on overall construction site outputs with limited flexibility in accounting for laborers' various characteristics. However, the recent reap in computational advances allowed applications of bottom-up architectures, which can potentially incorporate heterogeneous characteristics of laborers' individual behavioral and decision-making features effectively. Accordingly, agent-based modeling (ABM), as a tool to leverage a bottom-up methodological approach, has been widely adopted by recent research. Existing literature investigated the influence of changes in laborers' behaviors and interactions on either construction sites' safety performance or productivity performance individually, leaving the tradeoff between safety and productivity in this context relatively unexplored. Accordingly, this study aims to develop an agent-based framework to study the tradeoff between project safety and productivity performances resulting from changes in laborers' behaviors after attending safety trainings. Our findings via simulations indicate that proper safety trainings can improve safety performance without negatively impacting productivity performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.10 no.1
• /
• pp.111-121
• /
• 2023

Given the gaps in the link between leadership, knowledge resource, and innovation capability, this study aims to examine the potential mediating role of knowledge sharing and moderating role of knowledge-centered culture in the relationship between transformational leadership and a firm's capability for innovation. This study applied the Structural Equation Modeling to try out proposal hypotheses in the research model through a questionnaire survey from a sample of 301 participators in 115 small and medium firms in the field of tourism and hotel. The findings disclosed that knowledge-sharing behaviors significantly mediate the transformational leadership-innovation relationship. It highlights the significant impact of explicit knowledge sharing in comparison with the influence of tacit knowledge sharing on innovation capability. The paper also reveals the crucial role of knowledge-centered culture in boosting the knowledge-sharing-innovation relationship. By exploring the mediating role of knowledge sharing and the moderator of knowledge-centered culture, the paper significantly brings insight into different mediating and moderating mechanisms to improve innovation capability. The paper significantly fills up the gaps and provides valuable initiatives on the mechanism of how transformational leadership and specific forms of knowledge-sharing behaviors positively affect innovation capability under the moderating role of knowledge-centered culture.

• Membrane and Water Treatment
• /
• v.13 no.1
• /
• pp.51-62
• /
• 2022

Vacuum-assisted air gap membrane distillation (V-AGMD) has the potential to achieve higher flux and productivity than conventional air gap membrane distillation (AGMD). Nevertheless, there is not much information on technical aspects of V-AGMD operation. Accordingly, this study aims to analyze the effect of membrane deformation on flux in V-AGMD operation. Experiments were carried out using a bench-scale V-AGMD system. Statistical models were applied to understand the flux behaviors. Statistical models based on MLR, GNN, and MLFNN techniques were developed to describe the experimental data. Results showed that the flux increased by up to 4 times with the application of vacuum in V-AGMD compared with conventional AGMD. The flux in both AGMD and V-AGMD is affected by the difference between the air gap pressure and the saturation pressure of water vapor, but their dependences were different. In V-AGMD, the membranes were found to be deformed due to the vacuum pressure because they were not fully supported by the spacer. As a result, the deformation reduced the effective air gap width. Nevertheless, the rejection and LEP were not changed even if the deformation occurred. The flux behaviors in V-AGMD were successfully interpreted by the GNN and MLFNN models. According to the model calculations, the relative impact of the membrane deformation ranges from 10.3% to 16.1%.

• The Journal of Information Systems
• /
• v.33 no.1
• /
• pp.159-182
• /
• 2024

Purpose This study aims to investigate the factors influencing social media users' sharing behaviors of COVID-19 health information. Specifically, we seek to examine the impact of three key antecedents-trust in information source, trust in information content, and trust in social media platform-on users' trust in information quality and determine whether their effects vary between South Korea and China. Design/methodology/approach To fulfill our research objectives, we conducted an online survey across two countries, collecting 408 valid responses (South Korea: N = 201; China: N = 207) for our analysis. We employed Partial Least Squared based Structural Equation Modeling (PLS-SEM) with SmartPLS 4 and performed Exploratory Factor Analysis (EFA) and independent t-tests with SPSS 27. Findings The study revealed that perceived risks significantly inhibit users from sharing health information, highlighting the critical role of trust in countering these effects. We also identified variances in the levels of trust in information content and trust in social media platform between the two countries, which offers fresh perspectives for designing culturally tailored public health communications and interventions.

• Structural Engineering and Mechanics
• /
• v.91 no.4
• /
• pp.383-391
• /
• 2024

Conical shell is a common engineering structure, which is widely used in machinery, civil and construction fields. Most of them are usually exposed to external environments, temperature is an important factor affecting its performance. If the external temperature is too high, the deformation of the conical shell will occur, leading to a decrease in stability. Therefore, studying the thermal-post buckling behavior of conical shells is of great significance. This article takes graphene platelets reinforced metal foams (GPLRMF) conical shells as the research object, and uses high-order shear deformation theory (HSDT) to study the thermal post-buckling behaviors. Based on general variational principle, the governing equation of a GPLRMF conical shell is deduced, and discretized and solved by Galerkin method to obtain the critical buckling temperature and thermal post-buckling response of conical shells under various influencing factors. Finally, the effects of cone angles, GPLs distribution types, GPLs mass fraction, porosity distribution types and porosity coefficient on the thermal post-buckling behaviors of conical shells are analyzed in detail. The results show that the cone angle has a significant impact on the nonlinear thermal stability of the conical shells.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.27 no.6
• /
• pp.120-129
• /
• 2023

To evaluate the vertical loads on railway bridges, conventional load tests are typically conducted. However, these tests often entail significant costs and procedural challenges. Railway conditions involve nearly identical load profiles due to standardized rail systems, which may appear straightforward in terms of load conditions. Nevertheless, this study aims to validate load tests conducted under operational train conditions by comparing the results with those obtained from conventional load tests. Additionally, static and dynamic structural behaviors are extracted from the measurement data for evaluation. To ensure the reliability of load testing, this research demonstrates feasibility through comparisons of existing measurement data with sensor attachment locations, train speeds, responses between different rail lines, tendency analysis, selection of impact coefficients, and analysis of natural frequencies. This study applies to the Dongho Railway Bridge and verifies the applicability of the proposed method. Ten operational trains and 44 sensors were deployed on the bridge to measure deformations and deflections during load test intervals, which were then compared with theoretical values. The analysis results indicate good symmetry and overlap of loads, as well as a favorable comparison between static and dynamic load test results. The maximum measured impact coefficient (0.092) was found to be lower than the theoretical impact coefficient (0.327), and the impact influence from live loads was deemed acceptable. The measured natural frequencies approximated the theoretical values, with an average of 2.393Hz compared to the calculated value of 2.415Hz. Based on these results, this paper demonstrates that for evaluating vertical loads, it is possible to measure deformations and deflections of truss railway bridges through load tests under operational train conditions without traffic control, enabling the calculation of response factors for stress adjustments.

• Journal of the Korean Institute of Gas
• /
• v.17 no.6
• /
• pp.52-57
• /
• 2013

In this study, the strain energy density, stress and deformation behaviors have been analyzed as functions of a thickness and a force area of protective helmets with and without an extruder on the top of the shell structure using the finite element method. The strain energy density in which is related to the absorption capacity of an impact energy transfer is one of a key element of the helmet safety. The FEM analyzed results show that when the impulsive force of 4,540N is applied on the top surface of the helmets, the maximum stress is linearly reduced for an increased area of impact forces. But, the maximum strain energy density has been reduced for the increased force area. The reduced strain energy density may increase the impulsive forces transferred to the head and neck of helmet wearers, which may decrease the impact energy absorption safety of the helmets. In thus, it is safer design of the helmet in which has an extruded structure on the summit surface, but the modified helmet may decrease the impact energy absorption capacity.