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This paper aims to explore how typical personal, interpersonal and environmental factors influence entrepreneurs' growth aspirations by investigating the impact mechanism of entrepreneurial competency and guanxi on the growth aspirations of small tourism entrepreneurs in a dynamic environment.

Applying social cognitive theory (SCT) and business growth theory (BGT), this research uses confirmatory factor analysis and structural equation modeling (SEM) based on the questionnaire survey data of 371 small tourism business owners/owner-managers to test the relationship between entrepreneurial competency, guanxi and growth aspirations, with self-efficacy as a mediator and environment dynamism as a moderator.

The findings indicate that entrepreneurial competency is a more direct and significant factor than guanxi in facilitating the entrepreneurial growth aspirations in small tourism enterprises (STEs). Entrepreneurial competency and guanxi can both enhance entrepreneurs' self-efficacy, which then affects their aspirations to grow their business. Self-efficacy is a critical predictor of entrepreneurs' growth aspirations in STEs, although its effect is weakened by environmental dynamism.

This study expands the integrated application of SCT and BGT in tourism context, providing a more comprehensive and nuanced interpretation of the growth aspirations of entrepreneurs in STEs. It sheds more light on the effect of different entrepreneurial capital on growth aspirations and provides managerial implications accordingly.

The purpose of this paper is to estimate the China’s outward FDI efficiency and it determinants in 69 countries along the Belt and Road over the period of 2003-2013.

This paper defines the extent of the Belt and Road in terms of geographical boundaries, justifying the application of the stochastic frontier gravity model to the FDI analysis, and then constructing a frontier regression model to assess the China’s outward FDI efficiency and it determinants in countries along the Belt and Road.

Regarding the core gravity parameter estimates, China’s outward FDI was highly consistent with the gravity model. As far as policy parameters are concerned, China’s outward FDI was significantly restricted by some man-made barriers in host countries. According to the estimated FDI efficiency scores, China has huge outward FDI potential in countries along the Belt and Road. In general, China’s outward FDI efficiency demonstrated a consistent uptrend from the perspectives of both FDI flows and stocks over the period of 2003-2013. Although China’s outward FDI performance indicated a very uneven pattern across different countries and periods, there were no significant performance differences between the Road and Belt.

The Belt and Road initiative can be largely beneficial to China’s outward FDI, but the specific framework of cooperation should be designed on the basis of determinants of China’s outward FDI. The regional cooperation with the Road countries should mainly focus on the removal of business barriers and financial barriers. The regional cooperation with the Belt countries should mainly concern the improvement of local intellectual property protection, the reduction of local tax burden, and removal of business barriers and financial barriers.

To the authors’ best knowledge, no existing literature has specifically examined the efficiency of China’s outward FDI in the countries along the Belt and Road and its determinants.

The purpose of this paper is to examine the effectiveness of an improved dummy variables control grey model (DVCGM) considering the hysteresis effect of government policies in China's energy intensity (EI) forecasting.

Energy consumption is considered as an important driver of economic development. China has introduced policies those aim at the optimization of energy structure and EI. In this study, EI is forecasted by an improved DVCGM, considering the hysteresis effect of energy-saving policies of the government. A nonlinear optimization method based on particle swarm optimization (PSO) algorithm is constructed to calculate the hysteresis parameter. A one-step rolling mechanism is applied to provide input data of the prediction model. Grey model (GM) (1, N), DVCGM (1, N) and ARIMA model are applied to test the accuracy of the improved DVCGM (1, N) model prediction.

The results show that the improved DVCGM provides reliable results and works well in simulation and predictions using multivariable data in small sample size and time-lag virtual variable. Accordingly, the improved DVCGM notes the hysteresis effect of government policies and significantly improves the prediction accuracy of China's EI than the other three models.

This study estimates the EI considering the hysteresis effect of energy-saving policies in China by using an improved DVCGM. The main contribution of this paper is to propose a model to estimate EI, considering the hysteresis effect of energy-saving policies and improve forecasting accuracy.

Because mobile phones offer a new, affordable and easy-to-use portal to reading material, mobile reading is emerging as the most ultra-modern reading approach. From the perspective of mobile reading service providers, knowledge of customer purchase, and consumption behaviour is critical for their survival and success. This paper aims to provide insights into the factors that influence the purchase e-books.

Following means-end chain theory, the prospect theory and elaboration likelihood model, a structural equation model is proposed to investigate and identify key factors that drive the purchase intention of experienced mobile readers. In the theoretical model, utilitarian value (UV) and hedonic value (HV) are supposed as formative second-order constructs formed by related payoff.

Both UV and HV are positively associated with readers’ purchase intention. However, there are no big differences between these two path coefficients. People seem to perceive relatively low payment risk although perceived risk could still negatively affect purchase intention. As a predictor of purchase intention, UV is less important when risk perception increases or when involvement (IV) decreases. Furthermore, this study illustrates that uniqueness and convenience (CV) are significant components of UV, whereas curiosity and flow are components of HV.

Mobile reading providers should highlight the professional and specificity of app such as beautiful cover, page setup that similar to real books and so on. Readers should be allowed to post real-time reviews and communicate with others to improve their sense of satisfaction, participation and belonging. The payment process should be concise and simple through which readers can save their purchase time and effort. Mobile reading service providers should provide trustworthy payment approaches, especially third-party platform and guarantee the CV and safety of payment activity.

By focusing on the impacts of relationships among UV, HV, perceived risk and IV to purchase intention, this paper not only provides a theoretical understanding of mobile reading purchase behaviour but also offers practical insights to reading material manufactures and app developers for promoting such a process.

Recently, increasing importance has been given to electronic records in China, despite the lack of understanding that institutions and organizations have regarding the security status of electronic records preservation. Wuhan, the largest city in central China, serves as a case to investigate the preservation security of electronic records. Challenges to security are summarized, and solutions are proposed to support policy-developing and operational guidance. The paper aims to discuss these issues.

The Delphi method is applied to analyze the advice of nine experts, select survey items and design questionnaires. Data are collected from 34 archives in Wuhan through field surveys, oral interviews and e-mails, which are analyzed and illustrated with three representative cases.

Main achievements of electronic records preservation are concluded in the electronic records management system, carrier types and storage formats, and data backup. Problems are summarized as a lack of awareness and capability of defending against security risks, disaster recovery capability, and understanding of electronic record characteristics. Solutions are proposed as follows: carrying out regular security risk evaluation, adopting new technologies, implementing application-level backup, strengthening technology-related education and attracting more IT talent to join the archive discipline. In addition, it is critical to promote an understanding of the characteristics of electronic records.

This paper investigates the security status of electronic records in central China by surveys and case studies. Critical problems and corresponding solutions are raised to support policy-developing and operational guidance for the research and practice of all kinds of institutions that implement electronic records preservation.

The purpose of this paper is to analyze the implicit prices of hotel attributes in different time periods and different markets.

With data from the travel meta-search engine, this paper chose 3- to 5-star hotels in Beijing’s central business district and use hedonic price models.

The results suggest that the attributes with significant implicit prices differ in different time periods; the same attributes with different implicit prices in different time periods; the same attributes with different implicit prices in different market segments.

This study may help to explain the different findings on the relationship between the attributes and room rates of Chinese star-rated hotels in different time periods, and will be useful in both revenue optimization efforts and the design of new hotels projects.

Many waste-to-energy (WTE) plants are constructed and operated using the public-private partnership (PPP) mode in China. However, risk events of PPP WTE incineration projects sometimes occur. This study aims to clarify the relationship of risks in China's PPP WTE incineration projects and identify the key risks accordingly and risk transmission paths.

A risk list of PPP WTE incineration projects was obtained based on literature analysis. Moreover, a hybrid approach combining fuzzy sets, decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) was developed to analyze the causality of risks, explore critical risks and reveal the risk transmission paths. The quantitative analysis process was implemented in MATLAB.

The results show that government decision-making risk, government credit risk, government supervision behavior risk, legal and policy risk, revenue and cost risk and management capacity risk are the critical risks of PPP WTE incineration projects in China. These critical risks are at different levels in the risk hierarchy and often trigger other risks.

Currently, there is a lack of exploration on the interaction between the risks of PPP WTE incineration projects. This study fills this gap by examining the key risks and risk transfer pathways of PPP WTE incineration projects from the perspective of risk interactions. The findings can help the public and private sectors to systematically understand the risks in PPP WTE incineration projects, thus enabling them to identify the risks that need to be focused on when making decisions and to optimize risk prevention strategies. The proposed hybrid approach can offer methodological ideas for risk analysis of other types of PPP projects.

This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations.

This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

(1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk.

Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.

Traditional nondestructive failure localization techniques are increasingly difficult to meet the requirements of high density and integration of system in package (SIP) devices in terms of resolution and accuracy. Time domain reflection (TDR) is recognized as a novel positioning analysis technology gradually being used in the electronics industry because of the good compatibility, high accuracy and high efficiency. However, there are limited reports focus on the application of TDR technology to SiP devices.

In this study, the authors used the TDR technique to locate the failure of SiP devices, and the results showed that the TDR technique can accurately locate the cracking of internal solder joints of SiP devices.

The measured transmission rate of electromagnetic wave signal was 9.56 × 107 m/s in the experimental SiP devices. In addition, the TDR technique successfully located the failure point, which was mainly caused by the cracking of the solder joint at the edge of the SiP device after 1,500 thermal cycles.

TDR technology is creatively applied to SiP device failure location, and quantitative analysis is realized.

The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities.

Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis.

Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency.

First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances.

The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers.

The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies.

The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.