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The purpose of this paper is to discuss the characteristics of several stochastic simulation methods applied in computation issue of structure health monitoring (SHM).

On the basis of the previous studies, this research focusses on four promising methods: transitional Markov chain Monte Carlo (TMCMC), slice sampling, slice-Metropolis-Hasting (M-H), and TMCMC-slice algorithm. The slice-M-H is the improved slice sampling algorithm, and the TMCMC-slice is the improved TMCMC algorithm. The performances of the parameters samples generated by these four algorithms are evaluated using two examples: one is the numerical example of a cantilever plate; another is the plate experiment simulating one part of the mechanical structure.

Both the numerical example and experiment show that, identification accuracy of slice-M-H is higher than that of slice sampling; and the identification accuracy of TMCMC-slice is higher than that of TMCMC. In general, the identification accuracy of the methods based on slice (slice sampling and slice-M-H) is higher than that of the methods based on TMCMC (TMCMC and TMCMC-slice).

The stochastic simulation methods evaluated in this paper are mainly two categories of representative methods: one introduces the intermediate probability density functions, and another one is the auxiliary variable approach. This paper provides important references about the stochastic simulation methods to solve the ill-conditioned computation issue, which is commonly encountered in SHM.

This study is aimed to explore the dynamic performance incentive model for a flexible PPP contract to handle uncertainties based on supervision during the long-time concession period, so as to ensure operation performance and benefits of the public sector while protecting the economic benefit of the private sector, thus avoiding unnecessary renegotiation.

The microeconomic and principal–agent theories and relevant studies on the basic incentive model and flexible contract are fully utilized. The procedure for developing the dynamic incentive model and the assumptions about the quantitative relationships among fundamental variables or factors are first proposed. The static incentive model without incentive parameter adjustment and then the dynamic incentive model allowing incentive parameter adjustment are successively developed. Finally, the propositions regarding the valid adjustment ranges of the incentive parameter with respect to the economic, social and hybrid benefits of the public sector and the economic benefit of the private sector are suggested.

The dynamic incentive model enables to achieve a flexible contract to handle uncertainties on the PPP project to ensure the benefits of the public sector while protecting the benefit of the private sector. The economic, social and hybrid benefits of the public sector and the economic benefit of the private sectors can be respectively realized through adjusting the reward–punishment coefficient under different adjustment ranges and different importance. The incentive model is able to ensure the benefits of the public sector while protecting the benefit of the private sector by controlling the private sector's effort level unknown to the public sector.

The dynamic incentive model helps implement a flexible PPP contract to handle uncertainties during the operation period, thus controlling the effort level of the private sector and ensuring the benefits of the public sector while protecting the economic benefit of the sector. It enables to clarify the quantitative relationships between the operation performance, the benefits of the stakeholders, the effort level of the private sector and the reward–punishment coefficient. This study contributes to the domain knowledge of the incomplete contract theory for designing a flexible PPP contract with dynamic incentive and supervision mechanism by applying the microeconomic and principal–agent theories.

The purpose of this paper is to establish the influence of shopping motivations on Chinese fashion retail engagement relative to demographics, monthly spend on fashion items and high street/electronic commerce (e-commerce) preference. This is to determine how international fashion retailers should design more effective retails channels, expanding upon established theory in Hedonic and utilitarian motivations. While earlier research suggests shopping motivations associate with demographics while influencing retail channel preference and consumer spending, much of this exploration is Western focused, with all variables being influential. However, the degree to which these apply to China, and the unique fingerprint of influential motivations remains unknown. This paper answers these questions to allow international retailers to develop more efficient marketing strategies and design more effective retail channels.

In all, 403 Chinese consumers generalisable to the broader population were surveyed on their hedonic and utilitarian motivations to shop for fashion apparel in high street and e-commerce environments. Statistical analysis was commenced through direct logistic regression and MANOVA.

Demographics have limited association with shopping motivations, with gender and age only producing small effect sizes, while occupation, income and education has no significance. High street store preference is influenced by adventure and social shopping and e-commerce preference only by idea shopping. Spending over ¥1k per month on fashion apparel is influenced by gratification and idea shopping, and regular spending habits inspired by value shopping.

This empirical paper characterises the fingerprint of shopping motivations’ influence as singular to China while proving their limitation and need for a wider plethora of influential factors to be recognised.

This paper aims to describe carbon fiber reinforced plastics (CFRP) bars as a way to strengthen a 40-year-old stone arch bridge. To investigate effectiveness of the strengthening method, fielding-load tests were carried out before and after strengthening.

High-strength CFRP bars with minor radius, high tensile strain and good corrosion resistance were used in this reinforcement. The construction process for strengthening with CFRP bars – including CFRP bars cutting, crack grouting, original structural surface treatment, implant drilling, CFRP bars installation and pouring mortar – was described. Ultimate bearing capacity of the bridge after strengthening was discussed.

The results of concrete stress and deflection show that the strength and stiffness of the strengthened bridge are improved. The strengthened way with CFRP bars is feasible and effective.

This paper describes CFRP bars as a way to strengthen a 40-year-old stone arch bridge.

The purpose of this paper is to investigate how nonprofit service providers can better engage their customers through online communication. It identifies two communication styles and three communication functions, and examines their impact on customer commenting, customer liking and customer sharing.

Similar to Python for Facebook, a software package for the automatic retrieval of web page content was developed specifically for this study to extract data from the microblog Sina Weibo. Following the successful retrieval of 1,500 randomly selected messages from 34 universities in China, a two-level regression was performed using Mplus 7 to examine the association between the proposed relationships.

The findings reveal that messages with a friendly communication style increase both the number of comments and their positive tone; an authoritative style has no effect on customer engagement. The functions associated with message content (spreading information, building community or promoting action) influence customer liking and sharing. Building community tends to engage more customers than spreading information; promoting action often generates the least customer engagement in social media settings.

The study fills an important research gap in the service marketing literature as it pertains to nonprofit service organizations (i.e. universities) by identifying two types of online identities based on the communication style and the messages posted on social media. This study is the first to investigate the relationship between identity type and audience engagement, and to analyze the moderating factors of this relationship.

Recently, the concept of financial technology (FinTech) has attracted extensive attention from international organisations and regulators, in particular, how to achieve a “win–win” situation between financial institutions' FinTech innovation and effective regulation has become a hot topic. This study purposes to explore the evolutionary game relationship between FinTech innovation and regulation by constructing both static and dynamic earmarking game models.

A simulation experiment was conducted using primary data obtained from a commercial bank in China.

The results of the theoretical analysis of evolutionary game models were consistent with the corresponding simulation results, proving the validity of the proposed evolutionary game models. It was also found that the dynamic earmarking game model was more stable and effective than the static earmarking game model in promoting FinTech innovation and regulation. Furthermore, when the regulators utilised a dynamic earmarking mechanism, the evolutionary path of financial institutions and regulators' behaviour strategies took the shape of a spiral and eventually converged to a central point, indicating the existence of an evolutionary stable strategy and Nash equilibrium. Finally, because the behaviour strategies of financial institutions were mainly influenced by the regulators' policies, the regulators were inspired to adjust the corresponding regulation policies on FinTech innovation.

This study bridges the knowledge gap in the existing literature on financial innovation and regulation, in particular by establishing evolutionary game models from the perspective of financial earmarking policies. Also, the case study for simulation experiments can gain a more intuitive insight into FinTech innovation and financial earmarking policies.

The emergence and diffusion of the Internet has prompted a surge in web portal sites that are designed to meet the specific needs of ethnic Internet users who are not native English speakers. These ethnic portal sites may be set up by global portal giants (e.g. Yahoo!) or by local entrepreneurs (e.g. netease.com in China). Often, because of the different origins of these sites, they tend to have different operating philosophies and varying appeals to ethnic Internet users. In this study, we first analyze the differences and similarities among different types of ethnic portals. We then propose a conceptual model concerning the factors that affect the patronage of ethnic portals by ethnic Internet users. An empirical study was designed to test the conceptual model with data collected from Mainland Chinese Internet users. Finally, implications of the study results for ethnic portals are presented.

The literature shows that e-commerce adoption brings many benefits to farmers and agricultural businesses. However, the literature offers very limited guidance on the most effective ways for them to utilize e-commerce platforms. In this study, we unfold how a farmer's choice between endogenous (their own) vs. exogenous (third-party) e-commerce platforms should be aligned with the external (support from agricultural cooperative) and internal (usage of quality labels) resources they can leverage and the performance goals they want to achieve (market expansion vs. price premium).

Our study draws on transaction cost economics (TCE) and resource-based theory (RBT) to test the conceptual model with data from a cross-sectional survey of 324 farmers from two provinces in PR China.

Our findings show that external and internal resources shed additional light on the effectiveness of endogenous vis-à-vis exogenous e-commerce platforms. For farmers who rely on exogenous e-commerce, support from an agricultural cooperative appears to be critical in increasing their market expansion. On the other hand, farmers seeking to earn a price premium should focus on developing their own e-commerce platforms, while at the same time emphasizing the quality labels of their agricultural products.

Farmers should pay close attention to the value-added benefits provisioned through farmers' cooperatives, as well as the benefits of acquiring quality labels for their agricultural products. However, the decision to utilize these resources should be aligned with the chosen e-commerce platform (endogenous vs. exogenous) as well as with the performance goal the farmer wants to achieve.

Our work goes beyond the traditional focus on transaction costs and efficiency of e-commerce channels and provides specific insights into when an endogenous or exogenous e-commerce model might provide benefits for farmers. On top of this, we argue and show that this decision should reside with the farmer's ability to leverage external and internal resources, envisioned through support from an agricultural cooperative and the quality labels of agricultural products.

The aim of this research is to improve the responsiveness of the healthcare network of a large city to a major earthquake, by applying a combined methodology to reduce human suffering and death.

Scenario analysis, a non-linear programming (NLP) model, and the analytical network process are sequentially applied to find the “best location pattern”.

When considering the occurrence of major earthquakes in cities with high population density, as a rule of thumb, the location of healthcare facilities should prioritize areas characteristically overcrowded and/or that were built based on poor standards of seismic resistance.

The proposed research design does not include a cost criterion in the set of decision variables involved. Furthermore, the results derived from the NLP-model are restricted by the input simulation data.

The performance of the “best location pattern” is compared with the current location of healthcare facilities in terms of their distances to the affected zones. Metropolis areas worldwide with similar conditions to the city under consideration could be benefited from applying the general methodology for relocation of healthcare facilities described in this research.

This research implements a diverse combination of methodologies to examine the problem of relocating of healthcare facilities in a large city in the wake of an assumed earthquake. In addition, to the best of authors' knowledge, this is the first study of its kind that proposes improvements in the responsiveness of the healthcare facilities' network in the city in question.

Virtual try-on apps (VTOs) hold great potential to transform online apparel shopping, yet their acceptance by consumers has been lukewarm. By drawing on two theories – Sirgy’s theory of the self and Sundar’s theory of interactive media effects (TIME) – the study tests a PLS model with two new constructs: Photo Satisfaction and Consumer Inspiration, and their impact on Adoption Intention.

This mixed methods study examines the effects from personalization and customization affordances in the latest generation of apparel VTOs. The proposed model was tested in a quasi-experimental within-subjects design, as 61 female participants completed a goal-directed and an exploratory apparel shopping task using two VTO apps available on the market.

Inspiration induced from the customization affordance in the exploratory task influenced Adoption Intention as strongly as Fit Confidence did. For both conditions, users’ satisfaction with their avatar picture had a stronger effect on Perceived Augmentation than the individual trait of Body Esteem. The study also demonstrates how TIME’s Sense of Agency component could help theorize positive consumer responses to mobile marketing technology, which in our study were induced via the app’s Mix and Match feature. Also demonstrated was that Perceived Augmentation could be influenced by body-image affective judgments made during the pre-task VTO avatar creation phase.

VTO’s customization feature “Mix and Match” appears vital for the adoption of such apps for exploratory m-shopping of apparel. Also important is the satisfaction with one's photograph during the avatar-creation phase. We further suggest that apparel retailers work with Augmented Reality developers to include dynamic avatar capability as well as social sharing affordances in VTOs.

60 billion USD worth of returns occur annually in the online apparel retail industry, mostly related to fitting problems, not to mention the larger carbon footprint from the increased transportation. A more wide-spread adoption of VTOs can not only help with these problems but also lighten the traffic in brick and mortar fitting rooms, a potential hazard at this time of pandemic.

This is the first study to examine Consumer Inspiration in the context of online apparel retailing and to demonstrate the importance of Photo Satisfaction during the avatar-creation phase in influencing the subsequent user experience in apparel VTOs.