Whilst professional learning communities (PLCs) have been widely explored at the school level, they have received less attention at the departmental level. The study takes the…
Abstract
Purpose
Whilst professional learning communities (PLCs) have been widely explored at the school level, they have received less attention at the departmental level. The study takes the variance between departments and the role of departmental teacher leaders into consideration, and the relationships amongst departmental-level PLC dimensions, two types of teacher leadership (TL) and individual teacher self-efficacy are investigated.
Design/methodology/approach
The sample consisted of 907 teachers from 81 departments in Chinese schools. The associations between the studied variables were explored through a multi-level analysis approach.
Findings
The results show that two specific characteristics of departmental PLCs, namely reflective dialogue (RD) and collective responsibility (CR), exhibit a positive correlation with individual teacher self-efficacy. Additionally, the findings indicate that teacher transformational leadership significantly predicts teacher self-efficacy, whereas teacher instructional leadership (IL) does not emerge as a significant predictor. These findings may be attributed to the contextual factors of Chinese teachers' collective work and the practice of teacher leaders.
Originality/value
This research contributes to the existing literature by addressing the variance between departments and uncovering the impacts of departmental PLC dimensions on individual teachers. Furthermore, two TL styles at the departmental level are differentiated, and their distinct influences on teacher self-efficacy are further analysed.
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Huanchun Huang, Yingxia Yun, Jiangang Xu, Shizhen Wang, Xin Zheng, Jing Fu and Lintong Bao
Urban water bodies play an important role in reducing summertime urban heat island (UHI) effects. Previous studies focused mainly on the impact of water bodies of large areas, and…
Abstract
Urban water bodies play an important role in reducing summertime urban heat island (UHI) effects. Previous studies focused mainly on the impact of water bodies of large areas, and there is no analysis of the efficacy and scale effect of how small and medium-sized water bodies reduce the UHI effects. Hence, these studies could not provide theoretical support for the scientific planning and design of urban water bodies. This study aims to confirm, within different scale ranges, the efficacy of a water body in reducing the summertime UHI effects. We propose a scale sensitivity method to investigate the temporal and spatial relationship between urban water bodies and UHI. Based on the scale theory and geostatistical analysis method in landscape ecology, this study used the platforms of 3S, MATLAB, and SPSS to analyze the distance-decay law of water bodies in reducing summertime UHI effects, as well as the scale response at different water surface ratios. The results show that the influence of water surfaces on UHIs gradually decreases with increasing distance, and the temperature rises by 0.78 °C for every 100 m away from the water body. During daytime, there is a scaled sensitivity of how much water surfaces reduce the summertime UHI effects. The most sensitive radius from the water was found at the core water surface ratio of 200 m. A reduction of UHI intensity by 2.3 °C was observed for every 10% increase of the average core water surface ratio. This study provides a theoretical reference to the control of heat islands for the planning and design of urban water bodies.
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Zheng-Xin Wang, Ji-Min Wu, Chao-Jun Zhou and Qin Li
Seasonal fluctuation interference often affects the relational analysis of economic time series. The main purpose of this paper is to propose a new grey relational model for…
Abstract
Purpose
Seasonal fluctuation interference often affects the relational analysis of economic time series. The main purpose of this paper is to propose a new grey relational model for relational analysis of seasonal time series and apply it to identify and eliminate the influence of seasonal fluctuation of retail sales of consumer goods in China.
Design/methodology/approach
First, the whole quarterly time series is divided into four groups by data grouping method. Each group only contains the time series data in the same quarter. Then, the new series of four-quarters are used to establish the grey correlation model and calculate its correlation coefficient. Finally, the correlation degree of factors in each group of data was calculated and sorted to determine its importance.
Findings
The data grouping method can effectively reflect the correlation between time series in different quarters and eliminate the influence of seasonal fluctuation.
Practical implications
In this paper, the main factors influencing the quarterly fluctuations of retail sales of consumer goods in China are explored by using the grouped grey correlation model. The results show that the main factors are different from quarter to quarter: in the first quarter, the main factors are money supply, tax and per capita disposable income of rural residents. In the second quarter are money supply, fiscal expenditure and tax. In the third quarter are money supply, fiscal expenditure and per capita disposable income of rural residents. In the fourth quarter are money supply, fiscal expenditure and tax.
Originality/value
This paper successfully realizes the application of grey relational model in quarterly time series and extends the applicable scope of grey relational model.
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Ming-Huan Shou, Zheng-Xin Wang, Dan-Dan Li and Yi-Tong Zhou
Since the issuance in 2009, the digital currency has enjoyed an increasing popularity and has become one of the most important options for global investors. The purpose of this…
Abstract
Purpose
Since the issuance in 2009, the digital currency has enjoyed an increasing popularity and has become one of the most important options for global investors. The purpose of this paper is to propose a hybrid model ( KDJ–Markov chain) which integrates the advantages of the stochastic index (KDJ) and grey Markov chain methods and provide a useful decision support tool for investors participating in the digital currency market.
Design/methodology/approach
Taking Litecoin's closing price prediction as an example, the closing prices from May 2 to June 20, 2017, are used as the training set, while those from June 21 to August 9, 2017, are used as the test set. In addition, an adaptive KDJ–Markov chain is proposed to enhance the adaptability for dynamic transaction information. And the paper verifies the effectiveness of the KDJ–Markov chain method and adaptive KDJ–Markov chain method.
Findings
The results show that the proposed methods can provide a reliable foundation for market analysis and investment decisions. Under the circumstances the accuracy of the training set and the accuracy of the test set are 76% and 78%, respectively.
Practical implications
This study not only solves the problems that KDJ method cannot accurately predict the next day's state and the grey Markov chain method cannot divide the states very well, but it also provides two useful decision support tools for investors to make more scientific and reasonable decisions for digital currency where there are no existing methods to analyze the fluctuation.
Originality/value
A new approach to analyze the fluctuation of digital currency, in which there are no existing methods, is proposed based on the stochastic index (KDJ) and grey Markov chain methods. And both of these two models have high accuracy.
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Zheng Xin and Donghai Su
In order to certify the testing of vehicle Cd on the real road can be replaced by the much simplified steady-state simulation process inside wind tunnel.
Abstract
Purpose
In order to certify the testing of vehicle Cd on the real road can be replaced by the much simplified steady-state simulation process inside wind tunnel.
Design/methodology/approach
The paper opted innovative methods to verify the feasibility of using aerodynamic wind tunnel test for vehicle development purpose, including establishing the typical sinusoidal mapping function for road shapes during vehicle driving process to simplify the complexity of the road and choosing three different kinds of road spectrum amplitudes to establish the vehicle motion model, which can accurately predict the vehicle motion characteristics in the road driving process. The new approach simulates the vehicle aerodynamics on the road by taking into account the pitch angle changes during vehicle motion.
Findings
By comparing the transient drag coefficient on road with the steady-state simulated value in the conventional aerodynamic wind tunnel. This paper provides empirical insights about the flow field analysis around the vehicle on road that can verify the feasibility of using aerodynamic wind tunnel test for vehicle development purpose.
Research limitations/implications
Because of establishing the typical sinusoidal mapping function for road shapes, the study results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
This paper includes implications for the flow field analysis around the vehicle on road that can verify the feasibility of using aerodynamic wind tunnel test for vehicle development purpose.
Originality/value
This paper fulfills an identified need to use aerodynamic wind tunnel test for vehicle development purpose.
Details
Keywords
Li Huang, Qingyan Zheng, Xin Yin, Mingzhi Luo and Yang Yang
Some researchers have found that disasters may have a “blessing in disguise effect” that some disaster sites transformed into more popular tourism destinations; however, no…
Abstract
Purpose
Some researchers have found that disasters may have a “blessing in disguise effect” that some disaster sites transformed into more popular tourism destinations; however, no studies have analyzed the heterogeneity of the “blessing in disguise effect”. This paper aims to explore and determine the effect of cultural distance on international inbound tourist arrivals to a post-disaster tourist destination that could explain this heterogeneous phenomenon.
Design/methodology/approach
This study used a threshold regression model and a differences-in-differences (DID) approach to analyze 2000–2016 international tourist arrival data from 13 main origin countries to Sichuan Province before and after the 2008 Wenchuan Earthquake in China.
Findings
The effect of cultural distance on post-disaster inbound arrivals from the various origin countries followed a non-linear U-shaped “double-edged sword” pattern rather than displaying a simple linear relationship. Most notably, the disaster appeared to have a more positive effect on arrivals from countries with larger cultural distances, while the effect on arrivals from countries with shorter cultural distances was negative.
Originality/value
This study found that cultural distance could explain the heterogeneous “blessing in disguise” phenomenon, and it had both positive and negative impacts on tourism destination recovery; that is, a definite “double-edged sword effect” of cultural distance was found, which could help destination marketing organizations and management departments to design appropriately targeted marketing for post-disaster tourism destination recovery.
研究目的
些研究人员发现, 灾难可能会产生“因祸得福效应”, 即一些灾难现场变成了更受欢迎的旅游目的地。然而, 目前还没有研究分析这种“因祸得福效应”的异质性。本研究旨在探讨文化距离对灾后旅游目的地的国际入境旅游流的影响, 从而解释这种异质性现象。
研究设计/方法
本文采用门槛回归模型和双重差分法(DID)分析了2008年汶川地震发生前后(2000–2016年)来自13个主要来源国到中国四川省旅游的国际入境旅游流数据。
结果
文化距离对灾后客源国的入境旅游人数的影响呈现非线性的U型“双刃剑”模式, 而不是简单的线性关系。最值得注意的是, 灾难似乎对来自文化距离较大的客源国的游客人数产生了更积极的影响, 而对来自文化距离较短的客源国的游客人数产生了消极的影响。
原创性/价值
本研究发现, 文化距离可以解释异质性的“因祸得福”现象, 文化距离对旅游目的地恢复既有积极影响, 也有消极影响, 即文化距离具有明确的“双刃剑效应”。这可以帮助旅游目的地的灾后恢复设计合理的、有针对性的营销策略和恢复政策。
Propósito
Algunos investigadores han encontrado que los desastres pueden tener la “bendición del efecto disfraz” de que algunos sitios de desastre se transformen en destinos turísticos más populares;Sin embargo, ningún estudio ha analizado la heterogeneidel “efecto de bendición disfrazado”.El objetivo de este estudio es explorar y determinar el efecto de la distancia cultural en los flujos turísticos internacionales hacia un destino turístico después del desastre, lo que podría explicar este fenómeno heterogéneo.
Diseño/metodología/enfoque
se empleun modelo de regresión de umbral y un enfoque de diferencias en diferencias (DID) para analizar los datos de llegada de turistas internacionales de 2000–2016 de trece países de origen principal A la provincia de Sichuan antes y después del terremoto de Wenchuan de 2008 en China.
Conclusiones
el efecto de la distancia cultural en las llegde los diversos países de origen después del desastre siguió un patrón de “espada de doble filo” no lineal en forma de u, en lugar de mostrar una relación lineal simple.Más notablemente, el desastre pareció tener un efecto más positivo en las llegde países con distancias culturales más grandes, mientras que el efecto en las llegde países con distancias culturales más cortas fue negativo.
Originalidad/valor
este estudio encontró que la distancia cultural podría explicar el heterogéneo fenómeno de la “bendición disfrazada” y que tenía impactos tanto positivos como negativos en la recuperación de un destino turístico;Es decir, se encontró un “efecto de doble filo” de la distancia cultural, que podría ayudar a las organizaciones de comercialización de destinos turísticos y a los departamentos de administración a diseñar estrategias de comercialización dirigidas adecuadamente para la recuperación de destinos turísticos después del desastre.
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Dominic Essuman, Nathaniel Boso, Priscilla Addo Asamany, Henry Ataburo and Felicity Asiedu-Appiah
This study draws on the conservation of resources logic to theorize the role of firm resilience in explaining variations in entrepreneurial well-being under varying conditions of…
Abstract
Purpose
This study draws on the conservation of resources logic to theorize the role of firm resilience in explaining variations in entrepreneurial well-being under varying conditions of supply chain disruption and dependency ratio.
Design/methodology/approach
The study uses ex-post survey data from 373 women entrepreneurs in diverse agricultural supply chains in Ghana, a sub-Saharan African country. Moderated regression analysis is employed to test the research hypotheses.
Findings
The results indicate that firm resilience has both positive and negative relationships with economic and subjective well-being, depending on the level of supply chain disruption and dependency ratio women entrepreneurs face. Notably, the findings suggest that firm resilience contributes more to economic and subjective well-being of women entrepreneurs when dependency ratio is low and supply chain disruption is high.
Originality/value
The study integrates firm resilience research and entrepreneurial well-being literature to provide new insights into theorizing and analyzing the benefit of firm resilience for women entrepreneurs’ well-being.
Details
Keywords
Chenxi Wang, Xiaoxi Chang, Yu Zhou and Huaiqian Zhu
The paper aims to clarify the relationship between organizational work-family practices and employee work-family conflict in light of the boundary conditions of commitment-based…
Abstract
Purpose
The paper aims to clarify the relationship between organizational work-family practices and employee work-family conflict in light of the boundary conditions of commitment-based human resource management (HRM) and employee human capital.
Design/methodology/approach
The paper opted for a multi-source, multi-level design and surveyed 1,717 individuals (including CEOs, HR managers and employees) from 159 firms in China. The model was tested using hierarchical linear modeling.
Findings
The paper provides empirical insights that the effect of work-family practices on work-family conflict is indispensably dependent on the adoption of commitment-based HRM. In addition, employee human capital further moderated this interaction in that the effect of work-family practices on reducing work-family conflict was most salient with high-education employees who were embedded in a high-commitment HRM system.
Research limitations/implications
Testing the hypotheses in the Chinese context has both its merits and drawbacks. Specific results are pursuant to the Chinese context. Therefore, a cross-cultural comparative study is called upon.
Practical implications
The paper includes implications for organizations striving to minimize employee work-family conflict.
Originality/value
This paper primarily applies the resource-building perspective to examine the synergistic effects of organizational resources (targeting work-family practices together with general commitment-based HRM) and individual intellectual resources (human capital) on employee work family conflict.
Details
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Sharmila Jayasingam, Safiah Omar, Norizah Mohd Mustamil, Rosmawani Che Hashim and Raida Abu Bakar
Zheng-Xin Wang and Hong-Tao Zhu
Since the construction of China-ASEAN Free Trade Area (CAFTA) launched in 2002, the bilateral trade increased rapidly. The purpose of this paper is to test the competition and…
Abstract
Purpose
Since the construction of China-ASEAN Free Trade Area (CAFTA) launched in 2002, the bilateral trade increased rapidly. The purpose of this paper is to test the competition and cooperation in trade relationships between China and the main trading partners (Singapore, Malaysia and Thailand (SMT)) from ASEAN in international trade under CAFTA.
Design/methodology/approach
Grey Lotka-Volterra competition models are established for testing the trade relationships between China and SMT, respectively, based on the data of import and export from 2003 to 2014. To improve modeling accuracy, the interpolated coefficients for dynamic background value are introduced into the grey Lotka-Volterra model. The optimal parameters are solved through minimizing the mean absolute percentage error and the constraint of parameter relationships. Besides, eigenvalues of the Jacobian matrix are adopted to carry out the stability of equilibrium points of the trade relationships.
Findings
As the beneficiary party, China has mutual benefit and win-win trade relationship with Singapore, while it has predator-prey trade relationships with Malaysia and Thailand. The future exports from SMT to China will stabilize at 462.31, 598.13 and 447.03 billion dollars, respectively. The future exports from China to SMT will stabilize at 637.16, 943.71 and 827.52 billion dollars, respectively.
Practical implications
This study can be regarded as an important reference for China and its trading partners from ASEAN. The modeling results can help the decision makers to formulate appropriate international trade strategies to gain and maintain competitive advantages.
Originality/value
A new approach to testing the trade relationships is proposed based on grey Lotka-Volterra competition model. The study also proposed a dynamic optimization method for the background value of grey Lotka-Volterra model.