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Since the beginning of 2020, COVID-19 has dictated to the world what can be done or not. Log downs of countries, cities and businesses dominated the daily life of everybody. Especially the hospitality and tourism industry went through constant changes in rules and regulations. Tourists were not sure if they were allowed to travel or have to cancel their vacations. Hotels needed to be aware of COVID-19 registration and hygiene. In China, the Zero-COVID policies were wicked, strict and specific and should support daily businesses in the country. A specially used instrument was the variety of QR codes in place to prevent virus outbreaks and monitored tourism movements. For example, the city health QR code of each city/region in China, or the travel QR code to ensure safe travel. This chapter firstly looking into the ideas and policies behind the QR code system in China and secondly discovers through examples its efficiency. The final step is to propose a universal strategy on how QR codes and their policies can support safe and healthy hospitality and tourism recovery during the current pandemic crisis and protect tourists and the hospitality and tourism industry in future pandemic situations.

From a supply chain perspective, logistics firms collaborate with other supply chain members to extend their business scope. Investment in circular economy projects in the supply chain can not only broaden the scope of business but also increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects. How to coordinate multiple circular economy supply chain projects is at the core of its operation.

This paper first analyzes some typical supply chain projects in China and summarizes the main features of these projects. Secondly, considering the benefits of the project and the stakes of each project, a multi-stage stochastic programming model is established. Finally, Cplex, nested decomposition, LocalSolver and other methods are adopted to simulate and analyze the model.

The final experimental results find that the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.

There are still some limitations to this study; for example, it is limited to the analysis of circular economy supply chain projects in China. The study focused on third-party logistics companies, and other enterprises in the circular economy supply chain were not considered. The research also assumed that the benefits of each circular economy project and the stakes of each project were known, which may not always be the case in real-world scenarios.

This manuscript found that investing in other circular economy projects in the supply chain can broaden the scope of business and increase the value of the entire supply chain. Third-party logistics companies are gradually participating in the construction and operation of many circular economy projects, such as recycling and repurposing initiatives. It highlights the importance of coordinating multiple circular economy supply chain projects to increase the value of the entire supply chain. The multi-stage stochastic programming model presented in this research can provide a useful tool for logistics enterprises and third-party logistics companies to optimize their investment decisions and maximize their profits in the context of a circular economy.

This paper aims to prepare Poly(Styrene-Butyl acrylate-Methacrylic acid) @Poly Gallic acid-Fe³⁺ photonic crystal composite inks [P(St-BA-MAA)@PGA-Fe³⁺ PCCI, @ means the PGA-Fe³⁺ is loaded on the microspheres] and construct noniridescent structural colors on fabric substrates, with the goal of improving the visibility of structural colors.

P(St-BA-MAA)@PGA-Fe³⁺ PCCI were prepared by coating P(St-BA-MAA) microspheres with a metal-polyphenol network formed by gallic acid (GA, C₇H₆O₅) and Fe³⁺. The assembly effects of the inks were explored under different conditions, including pH, temperature, concentration and surface tension. The optimal self-assembly conditions of the inks were determined using the controlled variable method.

The results demonstrated the successful preparation of P(St-BA-MAA)@PGA-Fe³⁺ PCCI. The metal polyphenol network film composed of GA and Fe³⁺ was successfully coated on the surface of P(St-BA-MAA) seed microspheres. The assembly mechanism of the inks was investigated, indicating that at a diethylene glycol (DEG, C₄H₁₀O₃) concentration of 0.3 wt% and pH of 7, bright noniridescent structural colors could be formed on fabric surfaces after self-assembly by PCCI at 60 °C for 10 min. Furthermore, the mechanical fastness of the structural colors was enhanced due to the adherence of the soft shell composed of P(St-BA-MAA) and GA.

Utilizing a cost-effective approach and a diverse array of readily available raw materials, we have successfully prepared P(St-BA-MAA)@PGA-Fe³⁺ PCCI, which boasts superior performance and offers fabrics a range of unique coloring styles. This innovation paves the way for potential applications of structural colors in practical production, thereby broadening their realm of utility.

This paper analyzes knowledge-oriented leadership (KOL) and its impact on the learning achieved by the members of academic research teams. We study the influence of KOL on learning, both directly and indirectly, through the knowledge sharing that takes place within the team.

For this purpose, we conducted a survey of 477 researchers belonging to academic research teams. Through partial least squares structural equation modeling (PLS-SEM), our findings show that KOL positively affects both knowledge sharing and learning and that knowledge sharing also enhances learning.

Our results reveal the existence of a direct and indirect effect of KOL on learning, both significant and in the same positive direction, with a complementary partial mediation of knowledge sharing.

This paper contributes to the literature in that it provides evidence in the academic context of how team leader behavior can influence knowledge sharing and learning.

This is one of the fewer studies that analyzed KOL on academic research teams and the first contribution that empirically shows how the effect of KOL on learning takes place.

Product discounts have been widely applied in digital commerce as a method to attract and retain customers to purchase in China. Given that digital channels differ in their attributes, customers may behave differently when they respond to the same discount across channels. However, little attention has been paid to explore the heterogeneity of customer responses to discounts across channels. This study aims to fill in the gap by exploring how customers’ purchase responses to price discounts differ across digital channels.

This study applies a Poisson regression to an unbalanced data set of purchasing history from Chinese footwear brands with 3,510 customers in a two-year time window across the three digital channels (i.e. personal computer [PC], app and mobile website), with a correction for endogeneity by using the Gaussian copula method.

This paper finds that price discounts have the strongest positive effect on consumers’ purchase volumes on the PC channel, followed by the app channel, while discounts show the weakest impact in the mobile website channel. By so, this paper demonstrates that customers respond differently to online and mobile channels, and they also respond differently within mobile channels when they purchase products with price discounts.

This study is original in analyzing the difference in customers’ discount responses across digital channels, offering valuable contributions to existing research on multichannel marketing as well as mobile marketing and providing helpful insights for multichannel merchants to design digital discount strategies.

Mindfulness-based interventions are on the rise in workplace settings to enhance Well-Being and address work stress. Their popularity is in part due to the fact that they are often assumed to have a net positive impact on both workers’ Well-Being and organizational functioning. However, the majority of workplace mindfulness practice and research focuses on individual-level mindfulness interventions and their associated outcomes, like reduced stress. However, the modern workplace is highly dependent on positive team functioning, and the impact of mindfulness in teams is lesser known. This review differentiates individual mindfulness from team mindfulness and explores how both individual and team mindfulness impact team functioning. The authors review mindfulness and teams’ literature to understand antecedents, correlated mediators, and consequences of mindfulness in team contexts, team processes, and the boundary conditions related to mindfulness outcomes. This review adds to the budding theoretical conversation regarding mindfulness at work and contributes valuable insight into the practical applications of mindfulness in teams.

The purpose of this study is to investigate whether negative reports by state-controlled media affect firms’ CSR performance. Negative reports by state-controlled media indicate the signals of deteriorating relationships between firms and the government and then generate greater political pressure on firms, which may force firms to engage in more CSR activities. This study first examines the influence of negative reports by state-controlled media on CSR performance. Then, we further figure out whether the degree of dependence on the government exhibits an impact on the relationship between negative reports by state-controlled media and firms’ CSR performance.

The sample for this study is based on all Chinese A-listed firms from 2010 to 2020. The study employs CSR scores data released by HEXUN to measure firms’ CSR performance. HEXUN is one of the most professional institutions that sell CSR-related products. Following You et al. (2018) and An et al. (2022), the authors identify the nine most popular media consisting of state-controlled media. The ordinary least squares (OLS) method is adopted for regression, and various robustness tests are conducted including using alternative measures, expanding the regression model and instrumental variable method.

The empirical results show a significant positive relationship between negative reports by state-controlled media and firms’ CSR performance. The cross-sectional analyses indicate that the effect of negative reports by state-controlled media on firms’ CSR performance is stronger for firms with mandatory CSR disclosure requirements, firms with political connections and firms with more severe financial constraints. Furthermore, improved CSR performance resulting from negative reports by state-controlled media indeed helps repair firms’ relationship with the government and thus leads them to attain government benefits, such as more government subsidies and lower tax rates.

This study finds that media reports issued by state-controlled media can be treated as signals of the relationships between firms and the government, which generate political pressure to push firms to take CSR as a strategic management tool to repair their relationships with the government. It helps policymakers and investors more comprehensively understand firms’ incentives behind their improved CSR performance and develop more effective policies. This study focuses on firms’ overall CSR performance. We anticipate that future research can extend the analysis of the impact of negative reports by state-controlled media on specific aspects of CSR investment.

This study illustrates the significantly positive effect of negative reports by state-controlled media in promoting CSR performance. It fills the research gap in studying the role of state-controlled media in CSR, especially for emerging markets. Moreover, the study also contributes to the strand of literature on strategic CSR management.

Social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of excessive information on social media about COVID-19 vaccines on Generation Z's (Gen Z) associated psychological states and long-term vaccine advocacy.

The research conducted structural equation modeling analysis with online survey data from 409 Gen Z citizens in the UK.

The findings suggest that excessive information increased Gen Z social media users' ambivalence and conspiracy beliefs around COVID-19 vaccines, which, in turn, reduced their long-term vaccine advocacy in terms of vaccine acceptance, vaccination intention and vaccine promotion. Importantly, Gen Z’s confidence in government and in the healthcare systems during COVID-19 was effective in helping them overcome the detrimental effects of conspiracy beliefs and ambivalence about long-term vaccine advocacy, respectively.

This research reveals the “dark side” of social media use in the post-pandemic period and highlights the significant roles played by social institutions in mitigating the detrimental effects of Gen Z’s support in social decisions. Beyond the context of COVID-19, this research has important implications for facilitating the civic engagement of Gen Z and boosting their confidence in social institutions in terms of social cohesion.

Many studies on entrepreneurial intention have explored the impact of different factors; however, few have examined the relationship between and impact mechanisms of informal social networks and entrepreneurial intention. This study aimed to bridge this research gap.

This study is based on social capital and ambidexterity theories. After surveying the data of 302 college students from different provinces and universities in China, a mediation model for research is constructed.

Informal social networks help enhance college students’ entrepreneurial intentions, whereas entrepreneurial learning (exploratory and exploitative learning) partially mediates this relationship.

This study empirically explores the impact of informal social networks on the entrepreneurial intentions of Chinese college students and indicates the crucial role played by entrepreneurial learning (divided into exploratory and exploitative learning).

This study aims to improve detection efficiency of fluorescence biosensor or a graphene field-effect transistor biosensor. Graphene field-effect transistor biosensing and fluorescent biosensing were integrated and combined with magnetic nanoparticles to construct a multi-sensor integrated microfluidic biochip for detecting single-stranded DNA. Multi-sensor integrated biochip demonstrated higher detection reliability for a single target and could simultaneously detect different targets.

In this study, the authors integrated graphene field-effect transistor biosensing and fluorescent biosensing, combined with magnetic nanoparticles, to fabricate a multi-sensor integrated microfluidic biochip for the detection of single-stranded deoxyribonucleic acid (DNA). Graphene films synthesized through chemical vapor deposition were transferred onto a glass substrate featuring two indium tin oxide electrodes, thus establishing conductive channels for the graphene field-effect transistor. Using π-π stacking, 1-pyrenebutanoic acid succinimidyl ester was immobilized onto the graphene film to serve as a medium for anchoring the probe aptamer. The fluorophore-labeled target DNA subsequently underwent hybridization with the probe aptamer, thereby forming a fluorescence detection channel.

This paper presents a novel approach using three channels of light, electricity and magnetism for the detection of single-stranded DNA, accompanied by the design of a microfluidic detection platform integrating biosensor chips. Remarkably, the detection limit achieved is 10 pm, with an impressively low relative standard deviation of 1.007%.

By detecting target DNA, the photo-electro-magnetic multi-sensor graphene field-effect transistor biosensor not only enhances the reliability and efficiency of detection but also exhibits additional advantages such as compact size, affordability, portability and straightforward automation. Real-time display of detection outcomes on the host facilitates a deeper comprehension of biochemical reaction dynamics. Moreover, besides detecting the same target, the sensor can also identify diverse targets, primarily leveraging the penetrative and noninvasive nature of light.