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The purpose of this paper is to develop and test the reliability of six tourism scales based on Ap and Crompton's research.

In order to test the scale, the authors examine differences between genders' tourism beliefs, tourism evaluation, and perceptions of the impact of tourism throughout Shandong China. The sampling frame in this study includes residents over 18 years of age and living more than a year in Shandong Province. As an experimental study, a convenience sampling method is employed to select samples. The sample distribution of each of the 17 cities of Shandong Province equals the multiplied products of the total samples (760) and the percentage of its population in the total population of Shandong.

The tourism scale is shown to be reliable. The data illustrate the benefits and challenges of an emerging destination within an emerging national tourism product. In Shandong, residents acknowledged tourism's positive social benefits such as better shopping facilities, while at the same time recognizing the negative impact of tourism on the natural environment.

Residents' perceptions of tourism and its impact to the community has primarily been conducted in the USA. Of the research, limited data exists which examines differences between genders' perceptions of the benefits tourism may bring to a region. This study compares males' versus females' perceptions of the changes tourism development has to the Shandong province in China. This study offers insights into different perspectives by gender and culture.

Shandong is a thriving economic centre, being the third largest province by land area in China. It also has the second largest resident population of 99,470,000 and the third largest gross regional domestic product of RMB 6.8tn in 2016. The urbanisation rate of Shandong has been quickly expanding from 45 per cent in 2005 to 58 per cent in 2016. This paper aims to examine the urban development, performance and liveability of 17 Shandong cities through areas such as infrastructure, public services, education and environmental protection.

Building upon the theoretical underpinnings of China’s five development concepts – innovation, coordination, green development, opening up and sharing, this paper has constructed the inaugural urban composite development for 17 cities based on 131 indicators across six environments, namely, scale and quality of economic activities, financial capacity, labour market flexibility and economic vibrancy, good governance, effective leadership and social stability, technological advancement and innovation capability, public service standards and quality of life improvement and resource conditions and environmental protection.

The empirical results show that Qingdao, Weihai and Yantai perform well in urban development, while the capital city Jinan only rank in the fourth position.

By identifying the relative strengths and weaknesses of each city based on the perspective of ordinary city dwellers, this paper provides appropriate policy recommendations for policymakers to develop and optimise their economies and urban spaces.

This paper aims to explore the effects of leadership style and trust in leadership on employees’ affective commitment under the epidemic situation.

A total of 580 valid questionnaires were collected online targeting the hospitality and tourism employees working from home during the particular period of the COVID-19 Coronavirus crisis. Structural equation modeling was used to analyze the data with AMOS software.

The findings indicated that perceived transformational leadership was a positive predictor of trust in leadership and affective commitment. In addition to the positive contribution to commitment, trust in leadership also mediated the relationship between transformational leadership and organizational commitment.

The current study contributes to the literature on leadership and organizational commitment. The results of this study may provide a valuable guide to organizations, leaders and young employees.

变革型领导对员工信任及员工情感承诺的影响研究

本文旨在研究在新冠疫情背景下, 变革型领导对员工信任度以及情感承诺的影响。

本文研究对象为旅游及酒店行业工作人员, 由于新冠疫情, 调查问卷通过线上的方式向居家办公的酒店工作人员进行发放, 调查结束共收集到580份有效问卷, 利用AMOS软件对收集到的数据进行结构方程分析。

本研究发现, 变革型领导对员工组织信任具有正向影响, 员工信任对员工的组织情感承诺具有正向影响, 变革型领导正向影响员工的组织情感承诺, 并且, 变革型领导通过增强员工信任度, 正向影响员工的组织情感承诺, 即员工信任在变革型领导和情感承诺中间起中介作用。

本研究为拓展企业管理领域研究做出了贡献, 本文研究结果验证了相关的领导理论及组织管理理论, 丰富了职业承诺领域的研究, 为组织、领导以及青年员工的职业发展提供了参考借鉴。

Investigación sobre la influencia del liderazgo transformacional en la confianza y el compromiso emocional de los empleados

Este artículo tiene como objetivo estudiar la influencia del liderazgo transformacional en la confianza y el compromiso emocional de los empleados bajo el impacto del Covid-19.

El objeto de investigación de este artículo es el personal del sector turístico y hotelero. Se recogieron un total de 580 cuestionarios válidos y se analizaron los datos recopilados mediante ecuación estructural utilizando el software AMOS.

Esta investigación encontró que el liderazgo transformacional tiene una influencia positiva en la confianza de los empleados, la confianza de los empleados tiene una influencia positiva en el compromiso emocional de los empleados, el liderazgo transformacional afecta positivamente el compromiso emocional de los empleados y la confianza de los empleados juega un papel intermediario entre el liderazgo transformacional y el compromiso emocional.

Esta investigación enriquece la investigación sobre la teoría del liderazgo y el compromiso organizacional, y proporciona una referencia para el desarrollo profesional de organizaciones, líderes y empleados jóvenes.

The purpose of this paper is to explore the potential causes of the reduction of cotton cultivation in Shandong Province of China from the perspective of smallholders and notably examine the role of off-farm employment.

This paper extends an integrated behavioral model to analyze the relationship between off-farm employment and cotton cultivation by taking into account farmers’ risk attitudes. A household survey data of 144 Bt cotton farmers in six villages in Linqing County, Shandong Province conducted in 2012 and 2013 is used. A simultaneous equations model is established and further estimated by using three-stage least squares method.

Although the introduction of Bt cotton has promoted the increase in cotton acreage in China from 1999 to 2007, the planting area of cotton has been decreasing since 2007. The results show the significant correlations among risk attitude, off-farm employment, and cotton cultivation. The planting area of cotton is positively correlated with farmers’ willingness to take risk but negatively associated with off-farm employment of family members. The findings imply that the rapid emergence of off-farm labor markets is a major reason for the reduction of cotton acreage in Shandong Province. In the context of the more opportunities of off-farm employment in China, cotton acreage is expected to decrease further.

The findings provide a reasonable explanation for the reduction of cotton cultivation in Shandong. This analysis contributes to a better understanding of the relationships among individual risk attitude, off-farm employment, and agricultural behavior, thereby adding to the literature about the application of the integrated behavioral model.

This study aims to design and validate a theoretical model for capacitive imaging (CI) sensors that incorporates the interelectrode shielding and surrounding shielding electrodes. Through experimental verification, the effectiveness of the theoretical model in evaluating CI sensors equipped with shielding electrodes has been demonstrated.

The study begins by incorporating the interelectrode shielding and surrounding shielding electrodes of CI sensors into the theoretical model. A method for deriving the semianalytical model is proposed, using the renormalization group method and physical model. Based on random geometric parameters of CI sensors, capacitance values are calculated using both simulation models and theoretical models. Three different types of CI sensors with varying geometric parameters are designed and manufactured for experimental testing.

The study’s results indicate that the errors of the semianalytical model for the CI sensor are predominantly below 5%, with all errors falling below 10%. This suggests that the semianalytical model, derived using the renormalization group method, effectively evaluates CI sensors equipped with shielding electrodes. The experimental results demonstrate the efficacy of the theoretical model in accurately predicting the capacitance values of the CI sensors.

The theoretical model of CI sensors is described by incorporating the interelectrode shielding and surrounding shielding electrodes into the model. This comprehensive approach allows for a more accurate evaluation of the detecting capability of CI sensors, as well as optimization of their performance.

Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges to human resource management. This study aims to explore the direct and indirect effects of employees’ AI perception on career resilience and informal learning as well as the mediating effect of career resilience.

This paper proposed a theoretical model of AI perception, career resilience and informal learning with perceived AI as the antecedent variable, career resilience as the mediate variable and informal learning as the endogenous variable. Targeting the employees working with AI, a total of 472 valid data were collected. Data were analyzed using structural equation modeling with AMOS software.

Findings indicated that employees’ perception of AI positively contributes to career resilience and informal learning. Apart from the direct effect on informal learning, career resilience also mediates the relationship between AI perception and informal learning.

Research findings provide both theoretical and practical implications by revealing the impact of AI perception on employees’ career development, leaning activities, explaining how AI transforms the nature of work and career development and shedding lights on human resource management in the tourism and hospitality field.

本文提出了人工智能感知为前因变量、职业弹性为中介变量、非正式学习为内生变量的理论模型。以旅游业AI工作环境中的员工为研究对象, 本课题共收集了472份来自中国的有效数据, 并通过结构方程建模（SEM）来进行相关模型检验。

人工智能和大数据分析可能会使旅游和酒店服务更加自动化和智能化, 但这也对人力资源管理提出了新的挑战。本研究旨在探讨员工对人工智能（AI）的感知对职业弹性和非正式学习的直接和间接影响, 以及职业弹性的中介作用。

研究结果显示, 员工对人工智能的感知对职业弹性和非正式学习有积极影响。除了对非正式学习的直接影响外, 职业弹性在人工智能 (A I) 感知和非正式学习之间起中介作用。

本研究在以下几个方面具有重要的理论和实践意义：解释了人工智能感知对员工职业发展和学习行为的影响, 以及它是如何改变工作性质和员工职业发展的; 研究发现对旅游和酒店行业的人力资源管理具有实践指导意义。

La IA y el análisis de big data pueden potenciar aún más las características automatizadas e inteligentes de los servicios de turismo y hostelería. Sin embargo, también plantea nuevos retos a la gestión de los recursos humanos. Este estudio pretende explorar los efectos directos e indirectos de la percepción de la IA por parte de los empleados sobre la resiliencia profesional y el aprendizaje informal, así como el efecto mediador de la resiliencia profesional.

En este trabajo se propone un modelo teórico de percepción de la IA, resiliencia profesional y aprendizaje informal con la IA percibida como variable antecedente, la resiliencia profesional como variable mediadora y el aprendizaje informal como variable endógena. Dirigidos a los empleados que trabajan con IA, se recogieron un total de 472 datos válidos. Los datos se analizaron mediante un modelo de ecuaciones estructurales (SEM) con el software AMOS.

Los Resultados indicaron que la percepción de la IA por parte de los empleados contribuye positivamente a la resiliencia profesional y al aprendizaje informal. Aparte del efecto directo sobre el aprendizaje informal, la resiliencia profesional también media en la relación entre la percepción de la IA y el aprendizaje informal.

Los Resultados de la investigación proporcionan implicaciones tanto teóricas como prácticas al revelar el impacto de la percepción de la IA en el desarrollo profesional de los empleados, las actividades de aprendizaje, explicar cómo la IA transforma la naturaleza del trabajo y el desarrollo profesional, y arrojar luz sobre la gestión de los recursos humanos en el ámbito del turismo y la hostelería.

The purpose of this paper is to understand the attitude of patients towards the current medical service price and the effect of policy implementation, and explore the existing problems of the current medical service price policy in the region in order to provide a research basis for the dynamic adjustment mechanism of the medical service price.

Literature analysis and expert interviews are used to design the questionnaire of the dynamic adjustment of medical service price formation mechanism. A convenient sampling method is used to extract data of 600 patients from the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, on-site to fill out the paper-based questionnaire and electronic questionnaire. The grey relational analysis is used to explore the difference in the attitudes of patients towards the price of the medical service. Combined with the research results and expert interview results, some improvement suggestions related to the current price policy of medical service in five areas are put forward.

The overall average score of respondents in the five areas, namely Beijing, Tianjin, Hebei, Shandong and Liaoning, is found to be 3.861. In terms of surgical operation fee and examination fee, the average score is higher than 4, i.e. 4.097 and 4.011, respectively, indicating “relatively high” nodes. According to grey relevancy sorting, the correlation between the health service price attitude and the overall score in the five regions is in the following order: Shandong > Tianjin > Beijing > Liaoning > Hebei.

In this study, patients’ attitude towards the current price of medical services in their local areas, Beijing, Tianjin, Hebei, Shandong and Liaoning, is investigated in order to explore the existing problems of medical service price reform and thus provide the basis for further improvement in the medical service price policy.

The purpose of this paper is to fill a knowledge gap by examining the changes in fruit and vegetable consumption of Chinese households.

Using 1993 and 2001 household survey data from three selected provinces in China, the authors estimated a quantile regression (QR) model to demonstrate how changes of fresh fruit and vegetable consumption over time may differ across regions, and additionally, how these changes may differ over the entire distribution.

Results show significant increases in fresh fruit consumption for all provinces; in addition, the pattern of changes over time differs across the entire distribution. In contrast, significant decreases of fresh vegetable consumption are evident, and results are robust across regions; however, the disparities of fresh vegetable consumption across regions are not significant.

The results may shed some light on the national food policy. First, any food policy that may affect prices of fresh fruits and vegetables will likely affect households in lower percentiles more than those in upper percentiles. In addition, based on the findings, households in Guangdong may have a higher risk of inadequate fruit consumption. Lower level consumption of fruits in Guangdong may be caused by its relatively high prices of fruits and perhaps the shifting consumption pattern to a more meat‐based diet as income increases.

There has been considerable interest in estimating food demand structure in China due to its huge market for food products. However, little is known about the fruits and vegetables products. In addition, most of the previous studies used the linear regression‐type model for analysis, which fails to capture the effects of the exogenous factors on the entire distribution. To fill the knowledge gap, this paper uses a QR model with the different‐in‐difference method to examine the changes in fruit and vegetable consumption of Chinese households.

Trajectory tracking error of robotic manipulator has limited its applications in trajectory tracking control systems. This paper aims to improve the trajectory tracking accuracy of robotic manipulator, so a linear-extended-state-observer (LESO)-based prescribed performance controller is proposed.

A prescribed performance function with the convergence rate, maximum overshoot and steady-state error is derived for the output error transformation, whose stability can guarantee trajectory tracking accuracy of the original robotic system. A LESO is designed to estimate and eliminate the total disturbance, which neither requires a detailed system model nor a heavy computation load. The stability of the system is proved via the Lyapunov theory.

Comparative experimental results show that the proposed controller can achieve better trajectory tracking accuracy than proportional-integral-differential control and linear active disturbance rejection control.

In the LESO-based prescribed performance control (PPC), the LESO was incorporated into the PPC design, it solved the problem of stabilizing the complex transformed system and avoided the costly offline identification of dynamic model and estimated and eliminated the total disturbance in real-time with light computational burden. LESO-based PPC further improved control accuracy on the basis of linear-active-disturbance-rejection-control. The new proposed method can reduce the trajectory tracking error of the robotic manipulators effectively on the basis of simplicity and stability.

The rich financial knowledge of small and micro business owners helps to enhance the formal credit demand of small and micro enterprises and change the credit channel preference of small and micro enterprises. The purpose of this paper is to explore the relationship between financial knowledge and the credit practices of 290 small and micro enterprises in China’s Jiangsu and Shandong provinces based on their formal credit needs and preferred channels of credit.

To measure the degree of the credit constraints of small and micro enterprises, this study applied questionnaire surveys to obtain information on the credit demand and supply of 363 small and micro enterprises in the Jiangsu and Shandong provinces. Firstly, a probit model is used to study the influence of financial knowledge on the formal credit demand and credit acquisition possibility of small and micro enterprises, and tool variables and a biprobit model are used to deal with the possible errors of endogenesis and sample selection. Secondly, a tobit model is used to study the influence of financial knowledge on the credit access of small and micro enterprises in different channels, and tool variables and a Heckman two-stage model are used to deal with endogenesis and possible errors in sample selection. Finally, this study carried out a series of robustness tests to make the conclusions more reliable.

This study is based on the perspective of the knowledge-based view to explore the impact of financial knowledge on the credit behaviour of small and micro enterprises. This study found that financial knowledge can increase a small and micro enterprise’s formal credit needs and drive the small and micro enterprise to actively apply for loans. Furthermore, financial knowledge has a significant and positive influence on the acquisition of formal credit and approved lines of formal credit and a significant and negative influence on the acquisition of informal credit and approved lines of informal credit.

The results indicated that increased financial knowledge can increase the likelihood of a small and micro enterprise to prefer formal credit and reduce the likelihood of it to prefer informal credit channels.

Financial knowledge is the ability to master basic economic knowledge and financial concepts as well as the ability to use knowledge to manage and allocate financial resources. The rich financial knowledge of small and micro business owners helps to enhance the formal credit demand of small and micro enterprises and change their credit channel preference. This paper offers a new perspective on the problems of credit constraint, low participation in formal credit markets and high participation in private credit markets among China’s small and micro enterprises and valuably supplements the research literature.