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Despite an emerging interest in constructive deviance, the exploration of its antecedents is still limited, particularly from an ethical perspective. This study aims to uses moral disengagement theory to investigate how team identification, moral justification and team environmental instability interact to affect employee constructive deviance.

With survey data collected in two waves from 315 employees of 49 work teams in five service companies in China, this study develops four hypotheses and tests them through hierarchical linear model.

The survey results support the complete mediating effect of moral justification on the positive impact of team identification on constructive deviance. They also confirm the moderating effect of environmental instability on the relationship between team identification, moral justification and constructive deviance.

This study explores the sources of constructive deviance at team level from the ethical decision-making perspective and reveals the mechanism and contingency factors in the relationship between identity and constructive deviance. In practice, the study findings imply that managers should encourage their employees to cultivate their identification with their team and align their moral justification with the team’s norms especially when the team faces turbulent environment.

The purpose of this paper is to examine the effect of natural resources, market size and five major institutional factors (voice and accountability; political stability and absence of violence; regulatory quality; rule of law and control of corruption) on Chinese foreign direct investment (FDI) in Africa.

This study uses regression analysis on panel data across 22 countries for the period 2008-2014.

Natural resources did not play a significant role in attracting Chinese investments, but market size did. Among the institutional factors, only voice and accountability had a significant and positive effect on attracting Chinese FDI; the effects of rule of law and control of corruption were not significant and political stability and regulatory quality had a significant and negative effect.

Chinese investment in Africa is only a recent phenomenon, and is growing rapidly; further studies should examine factors that are unique to the context such as bilateral political link.

African countries that are struggling with improving their poor institutional quality in the short term could effectively attract Chinese investment by reducing investor psychic distance, e.g. establishing a closer political link with China. Nevertheless, in the long term, measures of improving institutional quality are important.

This study reveals for the first time that what attracts Chinese investment is market size rather than natural resources, and different institutional factors of an African country show varying effects on attracting Chinese FDI.

This study aims to offer a comprehensive exploration of the potential and challenges associated with sensor fusion-based virtual reality (VR) applications in the context of enhanced physical training. The main objective is to identify key advancements in sensor fusion technology, evaluate its application in VR systems and understand its impact on physical training.

The research initiates by providing context to the physical training environment in today’s technology-driven world, followed by an in-depth overview of VR. This overview includes a concise discussion on the advancements in sensor fusion technology and its application in VR systems for physical training. A systematic review of literature then follows, examining VR’s application in various facets of physical training: from exercise, skill development and technique enhancement to injury prevention, rehabilitation and psychological preparation.

Sensor fusion-based VR presents tangible advantages in the sphere of physical training, offering immersive experiences that could redefine traditional training methodologies. While the advantages are evident in domains such as exercise optimization, skill acquisition and mental preparation, challenges persist. The current research suggests there is a need for further studies to address these limitations to fully harness VR’s potential in physical training.

The integration of sensor fusion technology with VR in the domain of physical training remains a rapidly evolving field. Highlighting the advancements and challenges, this review makes a significant contribution by addressing gaps in knowledge and offering directions for future research.

Overconfidence as an important psychological factor can also affect CEO’s cognitive preferences, while there are few studies about the impact of CEO’ overconfidence on the international expansion of companies. This paper aims to fill this gap and further discuss the moderating role of CEO’s overseas experience, CEO duality and ownership.

The authors focus on the Chinese context, collect 2008–2016 data from China's manufacturing industry as sample, use fixed effect model to analyse the effect of CEO overconfidence on international expansion strategy of Chinese firms.

The empirical results show that: CEO overconfidence positively promotes the degree of firm internationalization. CEO foreign experience positively affects the internationalization degree, but can restrain overconfidence thus negatively regulate this impact relationship. When duality is present, both CEO power and managerial discretion are pronounced and they exhibit a stronger effect. Firm’s equity nature will affect the relationship between CEOs' overconfidence and the degree of internationalization. Compared with private enterprises, CEOs in state-owned enterprises have limited power, therefore, this influence relationship is weaker.

This study has emphasized the importance of top executives' psychological characteristics on firm internationalization, which is key application and complement of upper echelons theory and fills the research gap in the literature. In this paper, the authors found the advantages of overconfidence for firms, which helps to understand the complex meaning of overconfidence. The results of moderating effect further explore the application of overconfidence in different context, which has some implications for management practice.

This systematic review, following preferred reporting items for systematic reviews and meta-analysis guidelines, rigorously investigates the emergent role of virtual reality (VR) technology in human movement training. The purpose of this study is to explore the effectiveness and evolution of VR in enhancing movement training experiences.

Acknowledging its pivotal role in diverse applications, such as sports and rehabilitation, human movement training is currently experiencing accelerated evolution, facilitated by the proliferation of wearable devices and mobile applications. This review conducted an exhaustive search across five different electronic databases, such as Web of Science, PubMed and ProQuest, resulting in the selection of 69 eligible articles published within the past five years. It also integrates 40 studies into a narrative summary, categorized based on the level of immersion offered by respective VR systems.

Enhanced immersion in VR potentially augments the effectiveness of movement training by engendering more realistic and captivating experiences for users. The immersive and interactive environments provided by VR technology enable tailored training experiences accompanied by precise, objective feedback. This review highlights the benefits of VR in human movement training and its potential to revolutionize the way training is conducted.

This systematic review contributes significantly to the existing literature by providing a comprehensive examination of the efficacy and evolution of VR in human movement training. By organizing the findings based on the level of immersion offered by VR systems, it provides valuable insights into the importance of immersion in enhancing training outcomes. In addition, this study identifies the need for future research focusing on the impacts of VR on learning and performance, as well as strategies to optimize its effectiveness and improve accessibility.

Quantitative fretting wear prediction is of practical significance for industrial components. This study aims to establish a fretting wear model considering the formation of tribolayers and provide better fretting wear prediction.

Based on the characteristics for the formation of tribolayers, the ratio of fretting amplitude to nominal contact area length in the fretting direction is used to characterize their formation and contribution to the wear volume. The wear volume is then associated with the product of the friction energy and the ratio of fretting amplitude to nominal contact area length.

Better prediction in the wear volume can be achieved with the proposed fretting wear model by taking the formation of tribolayers into consideration.

The contribution of the formation of tribolayers to the wear volume is considered in the model and better prediction can be achieved.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2023-0004/

Manufacturing organisations are expected to produce their products with prompt delivery using better supply chain activities. Starting from the procurement of raw materials to the delivery of final products, there are inevitable losses occurring due to major time delays in supply chain activities. Hence it is essential to study, understand and track these major time delays by developing futuristic supply chain risk management strategies. This paper reports a research which was conducted to meet this requirement. During this research, major time delays were investigated by conducting a questionnaire supported interview based survey in 15 manufacturing organisations. On analysing the responses, pilot strategies for achieving loss reduction have been proposed. The paper is concluded by pointed out the necessity for developing dynamic models for achieving loss reduction and continuous improvement.

This paper aims to review the research status of fatigue behavior and fracture mechanism for C/C composites.

The fatigue behavior is related to many factors. The mechanical and physical properties were compared to evaluate the effect of fatigue under various experimental conditions, including different load type, loading frequency and stress ratio. Special attention is put on the high‐temperature fatigue research.

The strength has improved by fatigue loading. And most researchers considered that the weaken interface was the main reason for fatigue enhancement. However, the research on high‐temperature fatigue behavior is especially scarce.

This review provides a guideline on the current and future research on fatigue behavior of C/C composites.

With the developments of e-commerce markets, novel recommendation technologies are becoming an essential part of many online retailers’ economic models to help drive online sales. Initially, the purpose of this paper is to undertake an investigation of apparel recommendations in the commercial market in order to verify the research value and significance. Then, this paper reviews apparel recommendation techniques and systems through academic research, aiming to acquaint apparel recommendation context, summarize the pros and cons of various research methods, identify research gaps and eventually propose new research solutions to benefit apparel retailing market.

This study utilizes empirical research drawing on 130 academic publications indexed from online databases. The authors introduce a three-layer descriptor for searching articles, and analyse retrieval results via distribution graphics of years, publications and keywords.

This study classified high-tech integrated apparel systems into 3D CAD systems, personalised design systems and recommendation systems. The authors’ research interest is focussed on recommendation system. Four types of models were found, namely clothes searching/retrieval, wardrobe recommendation, fashion coordination and intelligent recommendation systems. The forth type, smart systems, has raised more awareness in apparel research as it is equipped with advanced functions and application scenarios to satisfy customers. Despite various computational algorithms tested in system modelling, existing research is lacking in terms of apparel and users profiles research. Thus, from the review, the authors have identified and proposed a more complete set of key features for describing both apparel and users profiles in a recommendation system.

Based on previous studies, this is the first review paper on this topic in this subject field. The summarised work and the proposed new research will inspire future researchers with various knowledge backgrounds, especially, from a design perspective.