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The purpose of this paper is to investigate age replacement policies for two-component parallel system with stochastic dependence. The stochastic dependence considered, is modeled by a one-sided domino effect. The failure of component 1 at instant t may induce the failure of component 2 at instant t+τ with probability p _1→2. The time delay τ is a random variable with known probability density function h _{p 1→2} (.). The system is considered in a failed state when both components are failed. The proposed replacement policies suggest to replace the system upon failure or at age T whichever occurs first.

In the first policy, costs and durations associated with maintenance activities are supposed to be constant. In the second replacement policy, the preventive replacement cost depends on the system’s state and age. The expected cost per unit of time over an infinite span is derived and numerical examples are presented.

In this paper and especially in the second policy, the authors find that the authors can get a more economical policy if the authors consider that the preventive replacement cost is not constant but depends on T.

In this paper, the authors take into account of the stochastic dependence between system components. This dependence affects the global reliability of the system and replacement’s periodicity. It can be used to measure the performance of the system et introduced into design phase of the system.

A direct integration method for the dynamic analysis of structures equipped with viscoelastic dampers (VED) is presented in this paper. The constitutive model of the damper is set using a system of Maxwell elements composed in parallel (MPS); the evolutive behavior of the VE material is accounted for by introducing temperature‐dependent mechanical properties. The solution procedure follows an incremental approach of implicit type that, by means of a discrete‐time formulation of the problem, allows expression of the damping force discretization in a form suitable to be included in a standard integration scheme. The resulting algorithm is proved to be very effective and robust; the distinctive features of the proposed numerical method suggest the possibility of a successful implementation of an MPS procedure in the frame of a standard finite element code.

Economic security is one of the crucial dimensions of the welfare state. High-income individuals are able to purchase private insurance, but a large portion of the individuals remains uninsured. The authors have tried to rationalize the problem of the study over the reason why people remain uninsured. Hence, the purpose of the study is to identify an insurance model that can cover the risk of the heterogeneous segments. The study is qualitative in nature and applies a fuzzy analytic hierarchy process (FAHP). Based on seven criteria, process is applied to arrive at an alternative model among basic models of insurance, namely, conventional private insurance, mutual, and social insurance. Since social insurance has emerged with the highest score of 41% in the study, it is implied that social insurance works best in a situation where the market is full of private information and moral hazard. The findings reaffirm that government intervention is required in an insurance market to provide coverage to both covariate and idiosyncratic risks. The findings are especially relevant in the context of emerging markets where a sizeable poor population goes uninsured. The study contributes to the literature by proposing alternative insurance to address the problem of insuring the voluntarily uninsured.

Although health question-and-answer (Q&A) communities have become popular in recent years, only a few communities have successfully retained and motivated their members to share knowledge. The purpose of this paper is to focus on the ways by which social capital and motivation influence knowledge sharing intention from the perspectives of health professionals and normal users in health Q&A communities.

The developed theoretical model integrates individual motivation and social capital theories. On the basis of a sample comprising 363 members from health Q&A communities in China, the authors tested the hypotheses by using structural equation modeling.

This study empirically finds that social capital positively affects intrinsic and extrinsic motivations, which then positively influence the intention of health professionals and normal users to share knowledge. Motivations of members fully mediate the effects of social capital on knowledge sharing intention. Specifically, intrinsic motivation influences knowledge sharing intention more for health professionals than for normal users, whereas extrinsic motivation influences knowledge sharing intention more for normal users than for health professionals.

This study explores the factors that affect the intentions of sharing knowledge in health Q&A communities by integrating social capital and motivation theories. Individual motivations can then bridge social capital and knowledge sharing intention. The effects of the intrinsic and extrinsic motivations of two user types were further examined and compared. These findings can extend the understanding of the underlying drivers of intention to share knowledge in the context of e-health.

The paper examines the effects of individual differences on the key motivational factors affecting Chinese study abroad students.

The current study adopts a quantitative survey approach. Students are recruited through the largest online survey provider in China. Using 335 completed questionnaires and factor analysis, the key factors influencing Chinese students are identified. Subsequently, regressions are employed to analyse the impact of age, gender, socio-economic status, previous study or travel abroad experience, degree level and location on factor scores.

This research sheds new light on the decision-making process of Chinese study abroad students. It is found that Chinese students are influenced by three key factors, social, cultural and economic environment, non-personal and personal recommendations. The results reveal that male students from the lowest socio-economic group rely on non-personal information to decide destination where they can significantly upgrade their socio-economic status. Personal recommendations are used by young persons aged between 18 and 24 and those without previous overseas travel or study experience.

Although prior studies explore the motivations of Chinese study abroad students, very few focus on a large sample of students both in China and abroad and identify key factors using the statistical tool factor analysis. No research has been carried out to understand the impact of personal characteristics such as age, gender, prior study or travel abroad experience, degree level and location on significant factor scores. Such analysis is crucial for the financial stability of the international higher education market, particularly during the current COVID-19 crisis.

The purpose of this paper is to investigate the effectiveness of commercial clothes dryers based on energy‐efficiency and environmental impact analyses.

The study consisted of reviewing and examining the energy consumption of clothes dryers. It adopted the US Department of Energy's uniform test method for measuring the energy consumption of electric and gas‐fired commercial clothes dryers. Time efficiency, the cost of drying clothes and the environmental impact caused by the operation of commercial clothes dryers were studied.

Electric commercial clothes dryers were found to be the most efficiency one in terms of energy per kilogram loadings. However, gas‐fired commercial clothes dryers were found to produce less environmental impact in global terms. Liquefied petroleum gas‐fired commercial clothes dryer was the most cost effective and time efficient.

All tests were conducted using three types of testing loads, namely towels, jeans and thermal clothing. They exhibited homogeneity in the tests but did not reflect the real‐life situations.

The implications of this study include assessing the efficiency of commercial clothes dryers based on standard testing loads for product comparison and increasing the awareness of environmental performance in the laundry industry as well as the clothing industry.

Energy‐efficiency and environmental performance become critical factors in determining competitiveness in all industries. This paper presents a detailed investigation on these aspects and provides insights for the laundry industry and appliance manufacturers.

The purpose of this paper is to examine the key factors affecting Mainland Chinese students pursuing a Master of Education degree in Hong Kong on their study abroad decision and return intentions.

The current study employed a mixed-methods approach to investigate factors that affect Mainland Chinese students pursuing MEd degrees in Hong Kong. Participants were first invited to fill out a questionnaire. After collecting and analyzing the survey data, in-depth interviews with a selected group of students were carried out by the research team to obtain useful qualitative data to triangulate the survey findings. A purposeful and convenience sampling method, carried out through the personal network of the research team, was used to recruit MEd Mainland Chinese students in Hong Kong to participate in the current study.

The findings provided compelling evidence that Hong Kong was an attractive study destination to this particular group of MEd Chinese students. The findings also indicated that academic factors were more important than social, cultural and economic factors when it came to choosing their study destination. In contrast to previous studies, participants expressed a much stronger desire to return home upon graduation. The three most influential predictors of their decision to return were the lack of a Hong Kong teaching certificate (r=+0.36), the opportunity to contribute to their hometown (r=+0.31) and the inclination to be closer to family and friends (r=+0.20).

While a number of studies have been carried out to study why Mainland Chinese students chose Hong Kong as their study destination to pursue their teacher training degree, none of these studies focused exclusively on fee-paying MEd Chinese students. Hong Kong is facing keen competition from both traditional host countries and emerging host countries to recruit students from Mainland China. It is therefore crucial to understand the needs of these Mainland Chinese students in a competitive, globalized, tertiary education market, as the satisfaction of students, in the form of positive discussion among alumni, promotes a university’s reputation and sustains its advantage in attracting students.

Effective post-disaster communication is essential for destination marketing organizations to encourage visitors following natural disasters. This research aimed to analyze the impact of two typical types of post-disaster communication messages – solidarity messages and testimonial messages – on post-disaster visiting intention. This research proposes effective communication strategies for post-disaster destination marketing.

For the case of Jiuzhai Valley, China, which experienced market recovery after two years of rebuilding following a 2017 earthquake, this study designed three contextual experiments based on post-disaster communication scenarios on the Internet and social media to test the causal chain between recovery message types and post-disaster visiting intentions. The data were analyzed using analysis of variance, independent samples t-tests, and the bootstrap method.

The results indicate that both solidarity messages and testimonial messages evoked higher visiting intention than the no-message group. However, solidarity messages (vs testimonial messages) were more effective when shared on the destination management organization's official account than when they were shared on an influencer's account, with their effects being mediated by the symbolic – as opposed to the hedonic – value of tourist behavior.

Destination management organizations should actively carry out marketing communication through the Internet and social media for areas that have experienced disasters. Crisis communicators should consider inviting popular social media influencers to visit the destination and share their experiences to enhance market confidence, while also paying more attention to the operation of official social media accounts.

This study sheds light on the use of the Internet and social media as tools for post-disaster marketing. By expanding on post-disaster communication theory, this study fills a research gap regarding the effectiveness of tourism marketing strategies after a crisis.