Search results

The purpose of this paper is to investigate the changes in Chinese workers’ values by comparing the work-related values of the One-Child Generation (OCG), the Social Reform Generation and the Cultural Revolution Generation.

A survey was conducted with 918 Chinese employees, the vast majority of them working for Chinese domestic firms in Guangzhou, Shaoguan and Harbin. The collected data were analysed mainly using ANOVA, Tukey’s pairwise comparison and Kruskall–Wallis tests.

The OCG was found to place less importance on income and job security, while possessing higher tolerance towards the practice of nepotism, than the older two generations. The authors found no significant differences in the levels of intrinsic values and altruism among the three generations. Additionally, the results indicate overall low altruistic values and high extrinsic values across all three generations of Chinese workers.

China’s unprecedented generation of only-children as workers is an unknown factor. It is only now, over a decade after the OCG first entered the job market, that a comparative study between their work values and those of previous generations has become possible. This study exploits the momentum and is one of the first studies to include the OCG in the investigation of work value changes in Chinese society.

Drawing upon the framework of social exchange theory, this study investigated the influence of work-life balance, procedural justice and distributive justice on job satisfaction and turnover intention among Vietnamese millennials.

Employing a quantitative research method, the authors collected a sample of 258 millennial participants in Vietnam. Utilizing the method of multiple regression analysis, the collected data were rigorously examined.

The results showed that job satisfaction is negatively related to the turnover intention of the millennial generation in Vietnam. Distributive justice is a stronger predictor of job satisfaction than procedural justice. Of particular note, the study revealed an intriguing result: work-life balance does not have a significant influence on job satisfaction among millennials.

Leveraging insights from national cultural theories, the authors' findings provide some insightful explanations of what drives millennials in Vietnam to consider leaving their organizations.

The study provides some insights for policymakers in Vietnam and other similar developing countries to reform their approach at managing the millennial generation.

The research addresses the existing gap in literature by delving into the underlying factors driving the propensity of Vietnamese millennials to frequently switch jobs.

Combining empirical insights from two lesson studies (LSs), this research aims to investigate EnEFL (English as a foreign language) teachers’ development in understanding and practical skills regarding the recent national English curriculum reform in China. It also strives to incorporate students’ performance and perceptions in the evaluation of the effectiveness of these LSs and teachers’ development.

Two LSs were conducted in the same school with 3 years in between. Standardized procedures were followed in the two LSs, including pre-LS interviews, talk-lesson session, rehearsal lessons, and one public lesson. Triangulated data were collected from lesson plans, reflective journals, discussion notes, and interviews to probe into teachers’ learning and development. Students’ task performance and perceptions were analyzed to help reexamine the influence of teachers’ development on student learning.

The teachers in the two LSs encountered similar problems in both understanding and implementing the curriculum reform. The LSs helped them reach a contextualized understanding of the key concepts. Besides, developments were also seen in their instructional skills to adopt innovative methods and activities. The students’ task performance and perceptions endorsed the teachers’ efforts.

First, this research combines data from two standardized LSs at different periods of curriculum implementation in the Chinese EFL context, which provides insights into teachers’ difficulties and development regarding curriculum reforms on a longer timeline. Second, students’ performance and perceptions are included as important data sources to assess the effectiveness of the LSs and teachers’ development.

By adopting learning theory and a guanxi perspective, this study aims to investigate the effects of interpersonal guanxi (interpersonal networks or connections) and relationship learning on companies’ business performance when operating in a large emerging market.

Using a sample of 294 sales managers and salespeople in the Chinese hotel sector, the authors empirically test the authors' arguments through a structural equation modeling (SEM) approach.

The authors' findings indicate that strong interpersonal guanxi tends to generate more positive business performance. Furthermore, the authors find that relationship learning plays a mediating role in the association between interpersonal guanxi and hotel companies’ business performance in a Chinese context. Finally, the authors empirically explore the moderating effect of inter-firm dependence on the contribution of interpersonal guanxi to relationship learning. Findings demonstrate that this effect varies significantly based on inter-firm dependence, with interpersonal guanxi exhibiting a greater positive impact if such dependence is high.

This study enriches our understanding of interpersonal guanxi and of how companies can enhance the companies' business performance in an emerging market context.

With the function of reconstructing and promoting traditional industries in China, logistic service industry (LSI) still consumes a great deal of energy. The purpose of this paper is to empirically analyse the relationship between energy consumption of logistics and its influential factors in China, and through this, identify the most important factor and give a significant research of this factor afterwards.

Using a quantitative analysis of the industry composition of energy consumption and the structure of energy consumption in LSI, the serious condition of China's energy conservation of LSI was found. Correlated analysis and co‐integration analysis were adopted to identify how these factors affected the energy conservation of LSI and how to construct environmental logistics in China.

The paper found mileage traveled by train is the most important factor of energy consumption in LSI, while traveling miles of highway is the second. The former was negative correlation with the total of energy consumption while the latter was positive correlation.

Because of the deficiency of data in China, this research is based on the data of 30 years, which is not testified as long enough for this research. This would indicate that the conclusions of this paper are approximate values. A closer look should be taken at the effectiveness of some of the other factors suggested in the previous research on this topic.

The paper outlines ways to effectively construct environmental logistics in China which would promote the energy conservation and sustainable development of this country. Since the total consumption of energy in China accounts for a certain proportion of the world, this will benefit other countries as well.

This paper is one of the first of its kind to develop and empirically analyze the relationship between energy consumption of LSI and its influential factors in China. It uniquely contributes towards helping us find approaches to constructing China's environmental logistics and will have far‐reaching implications for other developing countries.

This study aims to develop a measurement scale of tourism-led rural gentrification from the perspective of rural residents.

The procedure for developing the measurement scale included a thorough review of related literature on tourism-led rural gentrification and multiple stages of qualitative and quantitative investigations. A total of 1,080 rural residents in Huzhou and Huangshan participated in the project. The semi-structured interviews and questionnaire were applied to collect the data. This study analyzed the data with the methodologies of exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

The measurement scale developed in this study included seven dimensions: Accelerated Ecological Awareness, Individual Behavior, Rural Economic Development, Enhanced Living Standards, Talents and Demographic Changes, Human and Cultural Shift and Cohesive Community.

This measurement scale was developed and validated in China and may not be relevant in other contexts. The scale focuses on tourism-led rural gentrification only from the perspective of rural residents. The findings broaden the knowledge on tourism-led rural gentrification by researching the topic from the point of view of rural residents.

For policymakers and tourism enterprises, this study provides a valuable index for a full understanding of tourism-led rural gentrification. For investors, the research offers insights for priority investments to advance tourism development in rural regions.

This study is one of the few attempts to empirically measure tourism-led rural gentrification. The results improve on the knowledge about tourism-led rural gentrification in China.

本研究的主要目的是从居民视角开发和验证旅游引导的乡村绅士化测量量表。

开发和验证旅游引导的乡村绅士化测量量表主要包含两方面的工作：旅游引导的乡村绅士化相关文献梳理; 多阶段的定量和定性研究。本研究共邀请1080位研究对象参与调研, 并通过深度半结构访谈和调查问卷收集数据, 使用EFA、CFA和SEM等研究方法研究结果。

本研究开发和验证的测量量表包括7个维度：文明素养感知、经济发展感知、生活水平感知、发展环境感知、社会风尚感知、人居环境感知和社区秩序感知。

本研究基于中国背景开发和验证了旅游引导的乡村绅士化测量量表, 未验证该量表在其他国家或地区的普适性, 且仅从居民视角展开研究。我们的研究结果丰富了旅游引导的乡村绅士化内容。

对于政策制定者和旅游企业来说, 本研究为他们充分了解旅游引导的乡村绅士化提供了参考; 对投资者来说, 本研究为投资者投资提供了有价值的借鉴和参考。

本研究是测量旅游引导的乡村绅士化的重要尝试, 丰富了对中国旅游引导的乡村绅士化的认识。

旅游引导的乡村绅士化 居民感知 量表开发 量表验证

文章类型： 研究型论文

El objetivo principal del presente estudio es desarrollar y validar una escala de medición de gentrificación rural impulsada por el turismo desde la perspectiva de los residentes.

El desarrollo y la validación de la presente escala de medición consistió en dos tareas principales: un examen de la literatura relacionada con la gentrificación rural impulsada por el turismo; y múltiples etapas de investigación cuantitativa y cualitativa. Para este estudio, se invitó a un total de 1080 sujetos para participar de esta investigación, los datos se obtuvieron mediante entrevistas y cuestionarios semiestructurados en profundidad, y los resultados se han analizado mediante EFA, CFA y SEM.

La escala de medición desarrollada y validada en este estudio consta de 7 dimensiones: percepción de alfabetismo civilizacional, percepción de desarrollo económico, percepción de nivel de vida, percepción de entorno de desarrollo, percepción de costumbres sociales, percepción de asentamiento humano y percepción de orden comunitario.

Este estudio desarrolló y validó la escala de medición basada en un contexto chino, pero no se pudo generalizar la escala de medición en otros países o regiones. Esta investigación solo analiza el fenómeno de gentrificación rural impulsada por el turismo desde la perspectiva de los residentes. Nuestros resultados contribuyen a mejorar el contenido de la gentrificación rural impulsada por el turismo.

Para los responsables políticos y las empresas de turismo, la presente investigación constituye una referencia para que comprendan plenamente la gentrificación rural impulsada por el turismo; para los inversores, constituye una valiosa referencia de inversión.

Este estudio es un importante intento para medir la gentrificación rural impulsada por el turismo y contribuye a enriquecer la comprensión de la gentrificación rural impulsada por el turismo de China.

Gentrificación rural impulsada por el turismo, Percepción de los residents, Desarrollo de la escala, Validación de la escala

Trabajo de investigación

Getting high-quality data by removing the noisy data from the user-generated content (UGC) is the first step toward data mining and effective decision-making based on ubiquitous and unstructured social media data. This paper aims to design a framework for revoking noisy data from UGC.

In this paper, the authors consider a classification-based framework to remove the noise from the unstructured UGC in social media community. They treat the noise as the concerned topic non-relevant messages and apply a text classification-based approach to remove the noise. They introduce a domain lexicon to help identify the concerned topic from noise and compare the performance of several classification algorithms combined with different feature selection methods.

Experimental results based on a Chinese stock forum show that 84.9 per cent of all the noise data from the UGC could be removed with little valuable information loss. The support vector machines classifier combined with information gain feature extraction model is the best choice for this system. With longer messages getting better classification performance, it has been found that the length of messages affects the system performance.

The proposed method could be used for preprocessing in text mining and new knowledge discovery from the big data.

Innovations are imperative for organizational growth and sustainability. This study focuses on the employees' innovative behavior, a source of organizational innovations, which has received substantial attention from the researchers. Based on the psychological empowerment theory, the study exposes the effect of the various dimensions of public service motivation (PSM) on employees' innovative behavior (IB) in public sector institutions especially in the context of developing countries such as Pakistan. Moreover, the study also investigates the mediating role of psychological empowerment (PSE) between the dimensions of PSM and IB.

This study used the cross-sectional research design. By using random sampling, the adapted survey questionnaires were used to collect data from 346 faculty members of public sector universities located in provincial capitals of Pakistan. A partial least square–structural equation modeling (PLS-SEM) tool was used to assess the proposed hypotheses through SMART-PLS software.

Results revealed that attraction to policymaking (APM), compassion (COM), self-sacrifice (SS) have a significant impact on employees' PSE and their innovative behavior, while the relationship of commitment to the public interest (CPI) with PSE and IB was found insignificant. Moreover, PSE partially mediated the relationship between PSM dimensions and employees' IB.

There was a scarcity of research on IB especially in public sector institutions such as academia. This study theoretically contributed to the literature by providing a refined picture in assessing the proposed relationship of the constructs. This is also one of the original studies that examine the relationship between the dimensions of PSM and IB.

As one of its major strategies, China has made a new plan to further expand High Standard Farmland (HSF) to all permanent basic farmland (80% of total farmland) for grain security over the next decade. Yet, what will be the impact of farmland infrastructure investment on agrifood systems? The paper aims to systematically evaluate the multiple effects (food security, economy, nutrition and environment) of expanding HSF construction under the context of the “Big Food vision” using an interdisciplinary model.

An interdisciplinary model – AgriFood Systems Model, which links the China CGE model to diet and carbon emission modules, is applied to assess the multiple effects of HSF construction on agrifood systems, such as food security and economic development, residents’ diet quality and carbon emissions. Several policy scenarios are designed to capture these effects of the past HSF investment based on counterfactual analysis and compare the effects of HSF future investment at the national level under the conditions of different land use policies – restricting to grain crops or allowing diversification (like vegetables, and fruit).

The investments in HSF offer a promising solution for addressing the challenges of food and nutrition security, economic development and environmental sustainability. Without HSF construction, grain production and self-sufficiency would decline significantly, while the agricultural and agrifood systems’ GDP would decrease. The future investment in the HSF construction will further increase both grain production and GDP, improve dietary quality and reduce carbon emissions. Compared with the policy of limiting HSF to planting grains, diversified planting can provide a more profitable economic return, improve dietary quality and reduce carbon emissions.

This study contributes to better informing the impact of land infrastructure expanding investment on the agrifood systems from multiple dimensions based on an interdisciplinary model. We suggest that the government consider applying diversified planting in the future HSF investment to meet nutritional and health demands, increase household income and reduce carbon emissions.