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This study aims to investigate the effect of social media use on healthcare workers’ psychological safety and task performance and the moderating role of perceived respect from patients during public health crises.

To test the proposed moderated mediation model, a survey was conducted in 12 Chinese medical institutions. A total of 637 valid questionnaires were collected for data analysis.

The results revealed that psychological safety mediated the relationships between task-related social media (TSM) use and social-related social media (SSM) use and task performance. In addition, perceived respect from patients moderated the relationship between TSM use and psychological safety, as well as the indirect relationship between TSM use and task performance through psychological safety.

This study sheds new light on understanding how different types of social media use influence task performance in the context of public health crises. Furthermore, this study considers the interactions of healthcare workers with colleagues and patients and examines the potential synergistic effects of these interactions on healthcare workers’ psychological state and task performance.

This study aims to understand the relationships between inclusive leadership, work meaningfulness, resilience capacity and task performance during a pandemic, thereby providing strategies to address future crises more effectively.

Data were collected via a survey of 391 healthcare workers from 77 teams in primary hospitals in China.

The results indicate that inclusive leadership positively drives task performance through resilience capacity, and work meaningfulness amplifies this effect by strengthening the relationship between inclusive leadership and resilience capacity.

Workers face increased work pressure and requirements during a crisis, and understanding how to promote their task performance in such a context is of paramount importance. Although inclusive leadership is theorized to stimulate various positive employee outcomes, little is known about the mechanisms by which inclusive leadership affects task performance. The authors find that resilience capacity is a key mechanism responsible for the effect of inclusive leadership on the task performance of workers in high-stress situations. This positive indirect effect of inclusive leadership on task performance is amplified by a high level of work meaningfulness.

The purpose of this study is to explore how inclusive leadership promotes organizational performance through ambidextrous innovation (i.e. exploratory and exploitative innovation). Moreover, the authors examine the moderating role of environmental uncertainty in the relationship between inclusive leadership and ambidextrous innovation.

This study conducted a questionnaire survey of high-tech enterprises in China and obtained 325 useable samples. The hypotheses were tested using latent path analysis and ordinary least squares regression.

The results indicate that exploratory and exploitative innovations mediate the relationship between inclusive leadership and organizational performance. Moreover, environmental uncertainty positively moderated the relationship between inclusive leadership and exploitative innovation.

Managers should value the critical role of inclusive leadership in promoting exploratory and exploitative innovation, which in turn improves organizational performance. Meanwhile, managers need to pay attention to the risk caused by environmental uncertainty.

This paper extends the influence of inclusive leadership on innovation from the individual level to the organizational level and reveals the influence mechanism of inclusive leadership on organizational performance. In addition, this study supplements the knowledge regarding the boundary conditions under which the influence of inclusive leadership is strengthened or weakened.

The examination timetabling problem is an NP-hard problem. A large number of approaches for this problem are developed to find more appropriate search strategies. Hyper-heuristic is a kind of representative methods. In hyper-heuristic, the high-level search is executed to construct heuristic lists by traditional methods (such as Tabu search, variable neighborhoods and so on). The purpose of this paper is to apply the evolutionary strategy instead of traditional methods for high-level search to improve the capability of global search.

This paper combines hyper-heuristic with evolutionary strategy to solve examination timetabling problems. First, four graph coloring heuristics are employed to construct heuristic lists. Within the evolutionary algorithm framework, the iterative initialization is utilized to improve the number of feasible solutions in the population; meanwhile, the crossover and mutation operators are applied to find potential heuristic lists in the heuristic space (high-level search). At last, two local search methods are combined to optimize the feasible solutions in the solution space (low-level search).

Experimental results demonstrate that the proposed approach obtains competitive results and outperforms the compared approaches on some benchmark instances.

The contribution of this paper is the development of a framework which combines evolutionary algorithm and hyper-heuristic for examination timetabling problems.

What is the relation between the land system with Chinese characteristics and the country's high-speed economic growth in the past decades? There is a lack of rigorous academic research based on the general equilibrium theory of macroeconomics on this issue.

By building a multisector dynamic general equilibrium framework with land system, this paper explores how the land supply mode with Chinese characteristics affects China's economic growth as well as its transmission mechanism.

This paper confirms the importance of land system with Chinese characteristics in explaining the mystery of China's high-speed economic growth. Counterfactual analysis shows that if China adopts a land system similar to that of other developing countries, GDP will drop 36% from the current level under the baseline model.

As the industrial sector shrinks relatively and the output elasticity of infrastructure decreases, this inhibitory effect will become more apparent. China should improve its land supply mode, especially expand the supply of commercial and residential land and reduce the cost of land in the service sector. This can promote better economic development in the future and thus improve household welfare and the structure of aggregate demand, replace “land-based public finance” and thus inhibit the “high leverage” risks of local governments.

The purpose of this article is to contribute to studies on organizational ambidexterity by analyzing how an incumbent company is managing its innovation structures and balancing exploitation and exploration activities to generate value in a digital economy context.

The research was designed in a qualitative format through a single case study in a Brazilian financial institution, with semi-structured interviews conducted with internal and external players.

Based on the case study, two possible contributions emerged as results, to fill the research gap: the need to develop more complex innovation structures, which act in a way that is integrated to the ecosystem; and the establishment of an organizational function, with a specific mandate to seek innovation in new business platforms.

Although the theory gives evidence about the potential that ambidexterity represents for companies, ‘how’ to orchestrate the trade-offs to achieve it is not clear, particularly in regards to first steps toward ambidexterity. This work aims to contribute to fill this gap through an empirical study in a large Brazilian company, analyzing its trajectory toward ambidexterity.

This paper aims to study microwave pad dyeing process for wool fabric. Influences of various dyeing process conditions including galactomannan dosage, urea dosage, sodium bisulphite dosage, pH value, microwave irradiation power, treating time and cold batching time before microwave fixation on K/S values were analysed. The colour yield, fixation and levelness were compared between microwave fixation and cold batching fixation.

Colour yield (K/S values) was calculated using a Datacolor SF650 colour measuring and matching instrument (10° standard observer, CIE D65 light source Measuring; Datacolor, USA) and was used to determine the depth of the shade of dyed wool fabrics. Levelness of dyeing was evaluated also using the Datacolor SF650 colour measuring and matching instrument by measuring average deviation (S), range (P) of the maximum and the minimum for lightness (L), chroma (C) and hue (h), and balanced colour difference (ΔE) at 20 specified uniform locations on the wool fabrics. The colour difference was calculated as per the equation ΔE=(ΔL2+Δa2+Δb2)1/2 as appearing in the Experimental section. Fixation was determined using a Datacolor SF650 colour measuring and matching instrument by measuring ratio the of K/S for wool fabrics that were rinsed, washed, neutralised and then dried, and wool fabrics that were dried after fixation without washing. The pH of the padding solution was evaluated using a PHSJ-4A PH meter (Datacolor, USA). SEM analysis was done on JEOL JSM-5600LV machine (JEOL Ltd, Japan).

This study is based on application of microwave technology in the processing of silk.

It was found in laboratory experiments that uniform dyeing and deeper colour can be achieved throughout the microwave pad dyeing process for wool by using galactomannan. The novel process could reduce the dyeing time and the energy consumption of the traditional cold pad-batch dyeing process for wool fabric.

The present study provides a comprehensive review of the advancements in five active heating modes for cold-proof clothing as of 2021. It aims to evaluate the current state of research for each heating mode and identify their limitations. Further, the study provides insights into the optimization of intelligent temperature control algorithms and design considerations for intelligent cold-proof clothing.

This article presents a classification of active heating systems based on five different heating principles: electric heating system, solar heating system, phase-change material (PCM) heating system, chemical heating system and fluid/air heating system. The systems are analyzed and evaluated in terms of heating principle, research advancement, scientific challenges and application potential in the field of cold-proof clothing.

The rational utilization of active heating modes enhances the thermal efficiency of cold-proof clothing, resulting in enhanced cold-resistance and reduced volume and weight. Despite progress in the development of the five prevalent heating modes, particularly with regard to the improvement and advancement of heating materials, the current integration of heating systems with cold-proof clothing is limited to the torso and limbs, lacking consideration of the thermal physiological requirements of the human body. Additionally, the heating modes of each system tend to be uniform and lack differentiation to meet the varying cold protection needs of various body parts.

The effective application of multiple heating modes helps the human body to maintain a constant body temperature and thermal equilibrium in a cold environment. The research of heating mode is the basis for realizing the temperature control of cold-proof clothing and provides an effective guarantee for the future development of the intelligent algorithms for temperature control of non-uniform heating of body segments.

The integration of multiple heating modes ensures the maintenance of a constant body temperature and thermal balance for the wearer in cold environments. The research of heating modes forms the foundation for the temperature regulation of cold-proof clothing and lays the groundwork for the development of intelligent algorithms for non-uniform heating control of different body segments.

The present article systematically reviews five active heating modes suitable for use in cold-proof clothing and offers guidance for the selection of heating systems in future smart cold-proof clothing. Furthermore, the findings of this research provide a basis for future research on non-uniform heating modes that are aligned with the thermal physiological needs of the human body, thus contributing to the development of cold-proof clothing that is better suited to meet the thermal needs of the human body.

Given the importance of identifying the antecedents of innovation for firms to follow and achieve it, the purpose of this paper is to investigate the effect of inclusive leadership (IL) and knowledge sharing (KS) on ambidextrous innovation capabilities, namely exploratory and exploitative innovation. It also explores the possible moderating role of environmental uncertainty in the relationship between KS and ambidextrous innovation.

This study used structural equation modeling (SEM) to examine the relationship among latent factors in the proposed research model based on the data gathered from 118 manufacturing and service firms.

The empirical findings support the significant and positive impact of IL on exploratory and exploitative innovation through the mediating role of KS. It highlights the moderating mechanism of environmental uncertainty in fostering the relationship between KS and ambidextrous innovation.

To gain a deeper understanding of the benefits and important role of knowledge resources, future research should investigate the potential role of IL practices in creating a KS culture for promoting specific forms of innovation such as open innovation or frugal innovation.

The paper provides a valuable understanding and novel approach for managers and directors of firms in developing and emerging countries to improve ambidextrous innovation by practicing IL for fostering KS in organizations.

The paper is unique in its attempts to bridge the research gaps in the literature and provide deeper insights on the mediating role of KS and the moderating effect of environmental uncertainty in pursuing both exploratory and exploitative innovation.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.