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The purpose of this paper is to evaluate the ozone risk introduced by the mixing air-supply mode, displacement air-supply mode and personalized air-supply mode, respectively, in commercial aircraft cabins.

In this study, a computational fluid dynamics (CFD) model of aircraft cabin has been built to study the distribution of ozone mass fraction and the ozone surface deposition rate on passenger’s face and clothes under the three different air-supply modes, respectively. The distribution of ozone mass fraction has been obtained by calculating the mass concentration of ozone in different location. The ozone surface deposition rate on passenger’s face and clothes has been calculated according to the mechanism of the reactions between ozone and squalene, which is the primary reactant in human sebum.

By comparing the three air-supply modes, it was considered that the mixing air-supply mode made lower ozone concentration and ozone surface deposition risk in most area, but this was because of the thin air distribution in cabin. The displacement air-supply mode made an uneven distribution of ozone concentration and increased absorbing ozone risk in the breathing zone. The personalized air-supply mode was proper for avoiding ozone harm and making a comfortable air environment. The air supply from the inlet on seat back could not increase the ozone surface deposition risk on passenger’s face.

This paper provides the qualitative and quantitative analysis for ozone risk to the passengers under the different air-supply modes. Findings can provide some suggestions for the designers to optimize the air-supply mode of air distribution system for reducing passengers’ discomfort caused by high-altitude ozone introduction, such as breathing in too much ozone.

The purpose of this paper is to study a new method with which multi‐walled carbon nanotubes (MWNTs) can be dispersed and aligned in low density polyethylene (LDPE) for improving its mechanical properties.

Dispersion and alignment of MWNTs in LDPE matrix are enhanced by ultrasonic vibration, solution casting and melt mixing and flow moulding method. The properties of the composite are characterised using scanning electron microscopy, tensile testing machine and the Izod impact testing machine.

It is found that MWNTs in LDPE achieve some dispersion and alignment resulting in improvement in LDPE's strength and toughness.

Polymer/CNTs nanocomposites are expected to have good process ability of the polymers and high mechanical and functional properties of the CNTs. Enhancing dispersion and alignment of MWNTs in the polymer matrix will promote and expand the applications and development of polymer/MWNTs nanocomposites.

The method that enhances MWNTs dispersion and alignment in LDPE matrix provides a new way for alignment of other CNTs in polymer matrix.

The unprecedented growth of social media in the past decade has resulted in an increasing interest on social media research. The purpose of this study is to examine the state-of-the-art developments in social media research and to develop a thematic research framework.

The study reviewed 262 social media-related articles published in eight top hospitality and tourism journals between 2007 and 2017. Content analysis was used to code data from the selected articles, and correspondence analysis was then used to compare the characteristics of research conducted on different social media platforms.

A thematic framework of social media research was developed based on a thorough review and systematic examination of the articles. The thematic framework consisted of the three key players – hospitality and tourism businesses, social media platforms and consumers – along with four categories of topical areas – marketing, managerial implication, user-generated content and impact – and 19 research topics. Three platform groups were identified to share similar article characteristics and research attributes.

This study offers a systematic overview of social media research in hospitality and tourism and is the first one to identify triadic relationships of social media platforms in thematic research framework. The innovative findings of correspondence analysis offer insights on future social media research from a platform perspective.

This paper aims to study how a social media influencer (SMI) endorsement affects followers’ event attitude and behavioral intentions. More importantly, it comparatively examines the role of followers’ gender in event SMI marketing effectiveness.

Based on the congruity theory of attitude change, the current study developed an integrated framework of SMI marketing. In total, 335 online surveys were collected. Partial least squares structural equation modeling and multi-group analysis were conducted to test the hypotheses.

Results show that a follower’s attitude and behavioral intentions toward the event are affected by his or her influencer attitude. The present study also finds that follower’s social media post attitude plays a mediating role. Moreover, female followers are impacted more directly by their influencer attitude, while male followers are affected more indirectly through their attitude toward the social media posts.

The current study not only extends the event literature on SMI marketing but also provides recommendations for event professionals on SMI selection.

This study examines SMI endorsement as a relatively new marketing tool in the event setting. It also is a pioneer study in testing the effect of social media followers’ gender differences.

The purpose of this study is to simultaneously determine the constitutive parameters and boundary conditions by solving inverse mechanical problems of power hardening elastoplastic materials in three-dimensional geometries.

The power hardening elastoplastic problem is solved by the complex variable finite element method in software ABAQUS, based on a three-dimensional complex stress element using user-defined element subroutine. The complex-variable-differentiation method is introduced and used to accurately calculate the sensitivity coefficients in the multiple parameters identification method, and the Levenberg–Marquardt algorithm is applied to carry out the inversion.

Numerical results indicate that the complex variable finite element method has good performance for solving elastoplastic problems of three-dimensional geometries. The inversion method is effective and accurate for simultaneously identifying multi-parameters of power hardening elastoplastic problems in three-dimensional geometries, which could be employed for solving inverse elastoplastic problems in engineering applications.

The constitutive parameters and boundary conditions are simultaneously identified for power hardening elastoplastic problems in three-dimensional geometries, which is much challenging in practical applications. The numerical results show that the inversion method has high accuracy, good stability, and fast convergence speed.

In this paper, the standard Peridynamic Timoshenko beam model accounting for the shear deformation is chosen to describe the thick beam kinematics. Unfortunately, when applied to very thin beam structures, the standard Peridynamics (PD) encounters the shear locking phenomenon, leading to incorrect solutions.

PD differs from classical continuum mechanics and other nonlocal theories that do not involve spatial derivatives of the displacement field. PD is based on the integral equation instead of differential equations to handle discontinuities and other singularities.

The shear locking can be successfully alleviated using the developed selective integration method. In particular, this technique has been implemented in the standard PD, which allows an accurate result for a wide range of slenderness from very thin to thick (10 < L/t < 10³) structures. It can also accelerate the computational time for particular dynamic problems using fewer neighboring integration particles. Several numerical examples are solved to demonstrate the effectiveness of the proposed method for modeling beam structures.

The paper highlights the severe shear locking phenomenon in the Peridynamic Timoshenko beam available in the literature, especially for very thin structures. A new alternative for the alleviation of shear locking in the Peridynamic Timoshenko beam, using selective integration. Hence the developed Peridynamic Timoshenko beam model is effective for thin and thick structures. A new peridynamic formulation for the low-velocity impact beam models is presented and validated.

1. The paper highlights the severe shear locking phenomenon in the Peridynamic Timoshenko beam proposed in the literature, especially for very thin structures.

2. The developed Peridynamic Timoshenko beam model based on selective integration is effective for thin and thick structures.

3. A new peridynamic formulation for the low-velocity impact beam models is presented and validated.

The paper highlights the severe shear locking phenomenon in the Peridynamic Timoshenko beam proposed in the literature, especially for very thin structures.

The developed Peridynamic Timoshenko beam model based on selective integration is effective for thin and thick structures.

A new peridynamic formulation for the low-velocity impact beam models is presented and validated.

The aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.

Three hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.

The study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.

This study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.

Overqualification is a growing concern for employers in many countries. The practice of mismatching employees and positions inevitably leads to an increase in organizational training and management costs. This study can not only further enrich the theoretical achievements in the field of human resource management, but can also provide a reference for enterprise managers on how to effectively stimulate employees' innovative behaviour.

503 questionnaire responses were analysed using SPSS 24.0 and Mplus 8.0.

It was concluded that, (1) perceived overqualification is negatively related to employees' innovation behaviour (β = −0.32, p < 0.001); (2) psychological contract breach and psychological distance partially mediate the relationship between perceived overqualification and employees' innovation behaviour. Among them, the mediating effect of psychological contract breach was −0.14 (p < 0.01), and that of psychological distance was −0.12 (p < 0.001); the chain-mediating effect of psychological contract breach and psychological distance was −0.09 (p < 0.01); (3) employment relationship atmosphere played a moderating role in the relationship between perceived overqualification and employees' innovation behaviour (β = 0.04, p < 0.01).

This study verifies the negative impact of perceived overqualification on employee innovation behaviour and reveals the mediating role of psychological factors between the two. It also discusses the moderating effect of employment relationship climate on the relationship between perceived overqualification and employees' innovation behaviour.

How to foster voice behavior has always been a hot topic in organizational research; however, the mechanism through which performing decent work affects employee voice behavior remains to be fully understood. To address this deficiency, the current study investigates how basic need satisfaction may relate to perceived decent work and voice behavior and the moderating role of gender. Our research draws upon self-determination theory and social information processing theory.

The theoretical model was tested using two-wave investigation data collected from a sample of 349 employees and 85 supervisors in Southwest China.

Decent work perception was positively related to voice behavior, and this relationship was partially mediated by basic need satisfaction. In addition, the relationship between decent work perception and basic need satisfaction as well as the indirect effect of decent work perception on voice behavior via basic need satisfaction was stronger for men than for women.

This study highlights the pivotal roles of basic need satisfaction and gender in the consequences of decent work perception in the workplace. The authors provide new insights into the relationship between decent work perception and voice behavior and inspire scholars to elucidate other explanatory mechanisms in this link.