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Drawing on the paradox perspective and the Job Demands-Resources Model (JD-R), we investigate how paradoxical leadership behavior (PLB) affects employee adaptive performance.

Conducted a multi-wave field study with a sample of 64 leaders and 224 subordinates (study 1), and a quasi-experiment involving 156 participants (study 2). The collected data were analyzed using ANOVA and HLM techniques.

Both studies reveal that (1) PLB exhibits a positive association with employee adaptive performance, (2) employee paradox mindset and role stress partly mediated the relationship between PLB and employee adaptive performance, (3) the indirect effects of PLB on employee adaptive performance through employee paradox mindset and role stress are moderated by employee gender-role identity (GRI).

This research developed a moderated mediation model to examine the potential impact of PLB on employee adaptive performance, which contributes to the literature by integrating the paradox perspective and emphasizing the effectiveness of combining “top-down” and “bottom-up” leadership approaches. Moreover, we elucidate the underlying mechanisms through which PLB facilitates employees in effectively managing work role tensions to enhance adaptive performance Finally, this study also extends the investigation of the contextual efficacy of PLB by incorporating GRI as a moderator.

Drawing on the job demands-resources theory (JD-R), this study aims to discuss the relationship between paradoxical leadership and job crafting (approach and avoidance), considering the moderating role of overwork climate and organisational identification in two cultural context (China and Poland).

The research was conducted on employees from diversified organisations in two different cultural context: China (N = 408) and Poland (N = 400). Statistical verifications of the three-way interaction effect were conducted with Jamovi version 2.3 and multigroup analysis with SPSS AMOS version 29.

The results showed that employees who perceive high levels of paradoxical leadership and overwork climate as well as possess a high level of organisational identification engage stronger in job crafting, both approach and avoidance. Moreover, the results demonstrated that the dimensions of culture: individualism-collectivism moderate the relationship between the variables tested, in such a way that the relationship is stronger with the lower level of individualism.

This study has two limitations: its cross-sectional design and the use of self-reported questionnaire data.

The study expands knowledge of the relationship between paradoxical leadership and job crafting in two different cultural contexts.

Coronavirus disease 2019 (COVID-19) has resulted in traveling restrictions and decreased the demand among travelers since the end of 2019. Policies and people’s behaviors are gradually changing with the increase in the number of new diagnoses of COVID-19. Tourism increases tourists’ risk of contracting COVID-19 and will undoubtedly be affected by this disease. Based on this assumption and social cognitive theory, this paper aims to explore the impact of COVID-19 on tourism in terms of people’s willingness to travel.

Based on social cognitive theory, this study has designed the model and variables. The data of the paper came from a survey conducted in 29 provinces of China and a total of 618 responses were used for data analysis after deleting invalid questionnaires. Drawing on the structural equation modeling method, this paper processes the data collected from questionnaires to test the hypotheses and come to the results.

The results indicate that the negative impact of COVID-19 will affect the severity perceptions, personal negative effects and positive effects of tourism during the outbreak, which will ultimately influence people’s willingness to travel. During the outbreak of COVID-19, impacted by environmental factors and personal factors, Chinese people’s willingness to travel has been significantly reduced.

This study mainly focuses on people’s willingness to travel and the demand side of tourism to analyze the effects of COVID-19 on tourism, which neglects the supply side of tourism for analysis. Subsequent research should take account of the supply side of tourism and expanding the sample size worldwide to determine the impact of COVID-19 on the tourism industry from a broader perspective.

This study quantitatively analyzes how COVID-19 influenced the tourism industry and precisely determines the possible mechanism of the effect of COVID-19 on tourism by using social cognitive theory to build a model. The insights from the work help to understand how COVID-19 affects people’s willingness to travel during the pandemic and how to address this issue.

新型冠状病毒（COVID-19）自2019年底以来开始被发现, 随后逐渐蔓延至全球, 给人们的生活带来不小的影响。该病毒的发展使得人们的出行受到了较大的限制, 因而减少了人们对于旅游的需求。随着新冠疫情确诊人数的增加, 政府政策和人们的行为也处在变化之中。基于这一假设和社会认知理论, 本文旨在从人们的旅游意愿角度探究新冠疫情对旅游业的影响。

本文所设计的变量和模型是在社会认知理论的基础之上提出的。本研究的数据来源于面向中国29个省市自治区的问卷调查。在剔除无效问卷后, 总共搜集618份有效问卷进行数据分析。本研究采用了结构方程模型, 对假设进行检验、并得出最终结论。

研究结果表明, 新冠疫情带来的负面影响会增加人们对疫情严重性的认知程度、疫情期间旅游给人带来的负面影响增大、正面影响减少, 从而最终影响人们的旅游意愿。在新冠疫情之下, 受到环境、个人因素的影响, 人们的旅游意愿显著降低。

本研究的数据均来源于中国, 所以将本文的结论应用于其他地区时, 由于不同地区的自然和社会环境差异, 结论可能会产生差异。本研究主要聚焦于人们旅游意愿的变化, 即旅游业的需求端, 来分析新冠疫情对旅游业的影响, 忽视了旅游业的供给端在新冠疫情期间对旅游业的影响分析。后续的研究可以考虑从旅游业供给端的变化进行分析、以及将样本数量扩大到全球范围, 从而可以从更广阔的视角来探究新冠疫情对旅游业的影响。

本研究定量分析了新冠疫情如何影响旅游业, 并利用社会认知理论建立模型来精确判断这一影响的可能机理。本文的发现有助于了解新冠疫情如何影响人们在疫情行期间旅行的意愿, 以及制定相关的应对措施。

El coronavirus (COVID-19) se descubrió desde finales de 2019 y luego se extendió gradualmente a todo el mundo, lo que tuvo un gran impacto en la vida de las personas. La propaganda del coronavirus ha provocado muchas restricciones en los viajes de las personas, por lo tanto, reducía la demanda de viaje de las personas. Con el aumento en el número de casos confirmados de COVID-19, las políticas gubernamentales y el comportamiento de las personas también se están cambiando. Basado en esta hipótesis y teoría cognitiva social, este artículo tiene como objetivo explorar el impacto del COVID-19 en el turismo desde la perspectiva de la disposición de las personas a viajar.

Las variables y modelos diseñados en este artículo se proponen sobre la base de la teoría cognitiva social. Los datos para este estudio provienen de las encuestas por cuestionario de 29 provincias, municipios y regiones autónomas de China. Después de excluir los cuestionarios no válidos, se recopilaron un total de 618 cuestionarios válidos para el análisis de datos. En este estudio, se utiliza el modelo de ecuación estructural y la prueba de la hipótesis, al final llegar a la conclusión.

El resultado de la investigación muestra que el impacto negativo del COVID-19 aumenta la conciencia de las personas sobre la gravedad de la epidemia, y el impacto negativo del turismo durante la epidemia se aumenta y el impacto positivo se disminuye, lo que al fianl afecta la disposición de las personas a viajar. Bajo el COVID-19, afectada por factores ambientales y personales, la disposición de las personas a viajar se ha reducido significativamente.

Los datos de este estudio son todos de China, por lo que cuando las conclusiones de este artículo se aplican a otras regiones, las conclusiones pueden diferir debido a las diferencias en los entornos naturales y sociales de diferentes regiones. Esta investigación se centra principalmente en el cambio del deseo de viajar de las personas, es decir, el lado de la demanda del turismo, para analizar el impacto del COVID-19, por eso ignora el análisis del impacto de la oferta turística en el turismo durante el COVID-19. Los estudios posteriores se pueden considerar desde el aspecto de analizar los cambios en el lado de la oferta del turismo y expandir el número de muestras a una escala global, por lo tanto, se puede explorar el impacto del COVID-19 desde una perspectiva más amplia.

El encuentro de este artículo ayuda a comprender cómo el COVID-19 afecta la disposición de las personas a viajar durante la epidemia y a formular medidas de respuesta relevantes.

Through the scientific and reasonable evaluation of the site selection of the emergency material reserve, the optimal site selection scheme is found, which provides reference for the future emergency decision-making research.

In this paper, we have chosen three primary indicators and twelve secondary indicators to construct an assessment framework for the determination of suitable locations for storing emergency material reserves. By mean of the improved entropy weight-order relationship weight determination method, the evaluation model of kullback leibler-technique for order preference by similarity to an ideal solution (KL-TOPSIS) emergency material reserve location based on relative entropy is established. On this basis, 10 regional storage sites in Beijing are selected for evaluation.

The results show that the evaluation model of the location of emergency material reserve not only respects the objective knowledge, but also considers the subjective information of the experts, which makes the ranking result of the location of the emergency material reserve more accurate and reliable.

Firstly, the modification factor is added to the calculation formula of traditional entropy weight method to complete the improvement of entropy weight method. Secondly, the order relation analysis method is used to assign subjective weights to the indicators. The principle of minimum information entropy is introduced to determine the comprehensive weight of the index. Finally, KL distance and TOPSIS method are combined to determine the relative entropy and proximity degree of alternative solutions and positive and negative ideal solutions, and the scientific and effective of the method is proved by case study.

This study aims to describe the general picture of the competition in multichannel expert services in duopoly market and discuss how the quality difference may affects the competition between service providers with different quality levels, where both providers offer face-to-face channel and one of providers offers online channel additionally and service quality that consumers have heterogeneous preferences for is vertically differentiated. These results can be used to determine which service providers should offer online expert services and understand the competition in multichannel expert services in duopoly.

This paper uses the stylized vertical differentiation model to investigate the role of quality in expert services market, assuming that two services providers offer the same services with different quality levels and one of them having additional online services. Taking into account the differences of services from products and the particularity of online service, this paper extends the vertical differentiation model to expert services market.

The quality difference is the key factor in the competition of expert services. Service prices and the profits of providers, independent of the quality levels, are positively related to the quality difference, whereas the demand of online services is in the opposite direction regardless of which provider offers online channel. It demonstrates that provider with low-quality level should open online channel from the point of view of social welfare if it is closely related to the expert services, even though any provider can make more profits by opening online channel.

This extended vertical differentiation model, taking into account the importance of vertical differentiation in expert service, ignores the horizontal differentiation. More accurate strategies for multichannel expert services providers with what level of the quality a provider should offer is needed in future work. Moreover, this paper does not consider the different waiting costs of consumers in face-to-face channel and assumes that their problem will be solved eventually.

To the best of the author’s knowledge, no study has focused on the quality difference in multichannel expert services market or discussed how to offer online expert services in the duopoly market. This study extends the vertical differentiation model to the multichannel expert service market. Therefore, it fills this research gap and extends research to expert services market in the new network environment, aiming to help understand the competition in multichannel expert services.

The purpose of this paper was to conduct an experimental design of Americans’ preferences for the English version of Chinese brand names by drawing from prior research in psychology, linguistics and marketing. The impact of string length and semantic relevance to English on meaningfulness, memorability and likeability of brand names from Chinese companies was assessed.

A 2 × 2 experimental design was used, whereby brand names are categorized by string length (short vs long) and semantic relevance to English (with vs without). Respondents’ perception of the Chinese language in terms of pronounceability, language familiarity and language attitude is used as covariate.

Results reveal shorter brand names, and those with semantic relevance to English are perceived as more memorable. It was also found that pronounceability of the brand name does influence brand name preference in terms of their meaningfulness, memorability and likeability.

This exploratory paper is limited to Americans’ perceptions of the English version of Chinese automobile brand names.

Chinese companies should therefore carefully consider the brand name characteristics in terms of string length and semantic relevance, as well as their ease of pronunciation when choosing and introducing their brand name in the USA.

This is the first paper which assesses Western consumers’ perception of brand names from Chinese automobile companies in terms of their brand meaningfulness, brand memorability and brand likeability.

The purpose of this study is to investigate the impact of board secretaries’ characteristics on annual report readability using an original method that evaluates the readability of Chinese characters.

The authors manually collect board secretaries’ characteristics from the China Securities Market and Accounting Research database and obtain annual reports from the China Information website. Ordinary least square regression is applied to evaluate the impact, and then robustness tests and additional regression analyses are conducted.

Board secretaries’ legal-professional expertise, international expertise and role duality improve annual report readability. However, their political connections are negatively associated with it. The effect of expertise (role duality) is more pronounced for firms with lower ex ante litigation risk (board secretaries with equity holdings). Furthermore, higher readability increases the compensation of board secretaries, whereas lower readability increases their turnover. Finally, annual report readability is positively related to firm performance.

The authors only investigate listed firms in China from 2007 to 2017 because of the difficulties of obtaining data and text mining.

The authors provide managerial insights for regulators aiming to establish an effective governance mechanism with Chinese characteristics. First, certain requirements for board secretaries’ expertise can improve annual report readability. Further, firms can consider appointing board members or senior executives as board secretaries to enhance disclosure quality.

To the best of the authors’ knowledge, this study is the first to verify the effect of board secretaries’ characteristics on disclosure quality, especially annual report readability. Moreover, this study proposes a novel measure of annual report readability for Chinese texts.

Hazard assessment on drought disaster is of great significance for improving drought risk management. Due to the complexity and uncertainty of the drought disaster, the index values have some grey multi-source heterogeneous characteristics. The purpose of this paper is to construct a grey projection incidence model (GPIM) to evaluate the hazard of the drought disaster characterised by the grey heterogeneity information.

First, the index system of the drought hazard risk is established based on the formation mechanism of the drought disaster. Then, the GPIM for the heterogeneous panel data is constructed to assess drought hazard of five cities in Henan Province. Subsequently, based on the assessment results, the grey clustering model is employed for the regional division.

The findings demonstrate that five cities in central Henan Province are divided into three categories, which correspond to three different risk grades, respectively. With respect to different drought risk areas, corresponding countermeasures and suggestions are proposed.

This paper provides a practical and effective new method for the hazard assessment on drought disaster. Meanwhile, these countermeasures and suggestions can help policy makers to improve the efficiency of drought resistance work and reduce the losses caused by drought disasters in Henan Province.

This paper proposes a new GPIM which resolves the assessment problems of the uncertain systems with grey heterogeneous information, such as real numbers, interval grey numbers and three-parameter interval grey numbers. It not only expands the application scope of the grey incidence model, but also enriches the research of panel data.

The purpose of this paper is to present a detailed case study on the methods and organisational structure used for controlling the time schedule for a large and complex project. The paper discusses the use of “project controlling”, a term used to describe project control by a third-party organisation.

The researchers used action research to collect data for the case study. A member of the research team was a “participant-observer” on the project on a day-to-day basis for a period of 18 months collecting and analysing data which were subsequently analysed by a mixed methods approach.

The use of a “Project Controlling Unit” operated by an independent adviser organisation has significant advantages over traditional methods. It can provide timely, consolidated, independent guidance to the client and assistance to other participating organisations.

The research has confirmed the effectiveness of the method on the project under study.

The findings provide guidance for enhanced project control on large complex infrastructural projects that will be of interest to other researchers, other clients and other construction organisations both within China and internationally.

Organisations that seek to develop Project Controlling Units to implement the methods described in this paper will need to review their recruitment and training strategies to ensure that appropriate and experienced staffs are engaged.

The paper extends the knowledge relating to “project controlling” method. The findings provide additional insights to progress reporting and the management of construction production on HOPSCA and other large infrastructural projects.

This paper aims to evaluate the separation and purification characteristics of flavonoids from polygonum cuspidatum (PC) extracts by using macroporous adsorption resins (MAR) mixed bed to improve the utilization rate of flavonoids.

Taking the separation performance of flavonoids as an evaluation index, the best MAR were screened from 31 sorts of MAR and combined the best MAR to form a MAR mixed bed for adsorption and separation of flavonoids.

By studying the separation conditions that affect flavonoids, the results showed that resin LZ-72 has best separation and purification effect on flavonoids under the optimal adsorption and desorption conditions, the purity of the obtained flavonoid compound reaches 82.50%, 2.66 times of the initial extract, and the recovery rate reaches 89.70%. Theoretical research results have shown that the adsorption of flavonoids by MAR conforms to the pseudo-second-order kinetics and Freundlich models.

Because the flavonoids in PC have great medicinal value, the purpose of this work is to develop a method of separating and purifying flavonoids from PC, which will provide a certain foundation for the development of medicine.

This contribution provided a novel way to separate flavonoids from PC. Under the optimal conditions, the content of flavonoids in the product was increased 2.66-fold from 31.01% to 82.50%, and the recovery yield was 89.70%.