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Migration has become a challenging issue in the field of education and an ongoing crisis for many countries. The migration crisis and education have a reciprocal relationship in that the influx of migrants puts a strain on educational systems, particularly regarding resources, funding, and linguistic and cultural differences. However, education can play a crucial role in addressing some of the challenges associated with migration, such as the need to integrate, skill acquisition and cultural awareness in host countries, as well as brain drain in the countries of origin. It is crucial to investigate how education can both address the problems caused by migration and maximise its potential for sustainable development. This chapter targets analysing relevant scholarship and aims to illustrate the broad patterns of relevant scholarly sources on migration in the field of education indexed in the Web of Science between 2015 and 2022, explore their collaboration trends, and reveal the conceptual structure of these studies in the context of international sustainable development. A bibliometric methodology is employed for the exploration and analysis of the publications; 991 studies on migration in the field of education are descriptively analysed in terms of distribution of publications with their citations, topics at the micro level, journals, and the number of authors contributing to these papers. The results contribute to picturing the characteristics and collaboration trend of the scholarly sources on migration in the area of education as a challenging disabler or a driving force that contributes to societal development within the scope of international sustainable development.

In this paper, the C80 special coal gondola car was taken as the subject, and the load test data of the car body at the center plate, side bearing and coupler measured on the dedicated line were broken down to generate the random load component spectrums of the car body under five working conditions, namely expansion, bouncing, rolling, torsion and pitching according to the typical motion attitude of the car body.

On the basis of processing the measured load data, the random load component spectrums were equivalently converted into sinusoidal load component spectrums for bench test based on the principle of pseudo-damage equivalence of load. Relying on the fatigue and vibration test bench of the whole railway wagon, by taking each sinusoidal load component spectrum as the simulation target, the time waveform replication (TWR) iteration technology was adopted to create the drive signal of each loading actuator required for the fatigue test of car body on the bench, and the drive signal was corrected based on the equivalence principle of measured stress fatigue damage to obtain the fatigue test loads of car body under various typical working conditions.

The fatigue test results on the test bench were substantially close to the measured test results on the line. According to the results, the relative error between the fatigue damage of the car body on the test bench and the measured damage on the line was within the range of −16.03%–27.14%.

The bench test results basically reproduced the fatigue damage of the key parts of the car body on the line.

Augmented reality (AR) adoption has boomed globally in recent years. The prospective of AR to seamlessly integrate digital information into the actual environment has proven to be a challenge for academics and industry, as they endeavor to understand and predict the influence on users' perceptions, adoption intentions and usage. This study investigates the factors affecting consumers’ behavioral intention to adopt AR technology in shopping malls by offering the mobile technology acceptance model (MTAM).

This conceptual framework is based on mobile self-efficacy, rewards, social influence and enjoyment of existing MTAM constructs. A self-administered questionnaire, constructed by measuring questions modified from previous research, elicited 311 usable responses from mobile respondents who had recently used AR technology in shopping malls. This analysis was performed using SmartPLS3.0.

Grounded on the findings of the study, it was found that, aside from factors such as mobile usefulness, ease of use and social influence, the remaining independent variables had the most significant impact on adopting AR technologies. Considering the limitations of this study, the paper concludes by discussing the significant implications and insinuating avenues for future research.

To better investigate mobile AR app adoption in Pakistan’s shopping malls, the researchers modified the newly proposed MTAM model by incorporating mobile self-efficacy theory, social influence, rewards and perceived enjoyment. However, the extended model has not been extensively studied in previous research. This study is the first to examine the variables that affect an individual’s intention to accept mobile AR apps by using a novel extended MTAM.

Since the implementation of reform and opening up, China has made remarkable achievement in terms of economic reform and development. China’s path, as well as its experience, has simultaneously gained worldwide concerns. Developing the market economy against the backdrop of socialism brings conclusions from China’s achievement, deepens knowledge of China’s pathway and builds a socialist political economy with Chinese characteristics. That is the way to realise a basic socialist system, especially with regards to the organic integration of public ownership and market economy. This combination determines the future of socialism with Chinese characteristics and the success or failure of economic restructuring. Therefore, it requires consideration and in-depth study. The paper aims to discuss these issues.

The goal of economic restructuring is to establish and develop the socialist market economy. Its main content can be summarised in two parts. The first is the relationship between plan and market or government and market. The second is compatibility or combination of public ownership and market economy. The former is one of the superficial problems, relevant to resource allocation method or economic operation mechanism. The latter stems from deep-rooted problems, represented by ownership or the underlying economic system. These two work together to form the organic integrity of socialist market economy where both similarities and contrasts coexist.

The shared ideal of socialism with Chinese characteristics and the lofty goals of communism will then become empty words. In this sense we can say that, whether we can realise the unity and opposition between public ownership and market economy and better integrate advantages of socialist system with strengths of market economy, will to a large extent determine the future and destiny of the socialist market economy.

As previously mentioned, the relationship between plan and market or government and market are part of resource allocation methods or economic operation mechanism. Compatibility and combination, however, with public ownership and market economy are part of an ownership or basic economic system. Science reveals the nature and developmental law of the socialist market economy. An in-depth study must be conducted on the relationship between public ownership and market economy.

This study examines the drivers of consumers’ intentions to adopt mobile wallets in Pakistan’s hospitality industry. Specifically, it proposes and tests a model of non-user consumer intention to adopt mobile wallets for hospitality in Pakistan.

A conceptual framework grounded in the mobile technology acceptance model (MTAM) integrating personal innovativeness in IT, mobile perceived compatibility, perceived critical mass, perceived enjoyment, mobile perceived risk and mobile perceived wireless trust was used as a theoretical model of the study. Using structural equation modeling, we tested the research model and its relevant hypotheses on a sample of 310 mobile wallet nonusers.

Findings from the expanded model demonstrate that only four of the suggested hypotheses were insignificant in this study and require additional examination. Overall, the modified model explained 63% of the variance in the behavioral intention to adopt mobile wallets. This paper concludes with key implications and directions for future work concerning the limitations of this study.

This study contributes to a theoretical understanding of the factors that explain nonusers’ behavioral intention to use a mobile wallet in the hospitality context.

Scholars and practitioners increasingly recognize data as an important source of business opportunities, but research on the effect on small and medium-sized enterprises (SMEs) is limited. This paper empirically examines the complementary impact of SMEs' data capability and supply chain capability (SCC) and further tests the mediation effect of SCC between data capability and operational performance. The mediated effect of data capability is also moderated by competition.

This paper analyzes longitudinal data collected from 122 manufacturing SMEs in Finland. Hypotheses were tested by using structural equation modeling (SEM).

The results show that to benefit from the data capability, SMEs require a certain level of SCC to extract the value from the SMEs' data capability and support operational performance. Additionally, competition affects how SMEs benefit from data capability, as competitor turbulence moderates the complementary effect of data capability and SCC on operational performance.

This is one of the first studies examining the longitudinal effect of SMEs' data and SCC on operational performance in the current competitive environment.

The objectives of this study were to evaluate knowledge on the coronavirus disease 2019 (COVID-19) transmission, attitude toward the measures of COVID-19 prevention and control, explore social responsibility behaviors and test for the association between variables and social responsibility among university students.

It was a cross-sectional study. The population was 7,754 students from a university in Yala province. The sample size was 370 students according to Krejcie and Morgan table. Google form was introduced to make the self-administered questionnaires. Content validity was evaluated by three experts, and for reliability of knowledge and attitude, the coefficient was 0.707 and 0.702. Data collection was done in the early April 2020. Descriptive statistics and χ² were used to analyze the data. Ethical approval number 095–63.

The results found that students' knowledge on COVID-19 transmission was in a moderate level, attitude toward the state measures for COVID-19 prevention and control was at a high level. Their social responsibility behaviors were at a high level. Their knowledge, attitude and payment were significant association with social responsibility behaviors among university students (p < 0.05).

University students' knowledge on disease transmission as well as positive attitude toward the measures of regulation led them to have cooperation. Social distancing and lockdown measures affected their lifestyle. However, they have responsibility behaviors to the society, especially in the pandemic situation.

The aim of the study is to examine the influence of Intellectual Capital (IC) and its components on the financial performance of Indian sugar mill companies.

The present study follows the quantitative research, and uses data from Indian sugar mill companies over the period of recent 10 years. The Modified Value- Added Intellectual Capital (MVAIC) method is employed to evaluate IC. Authors construct panel regression models to test the hypotheses where Return on Equity (RoE) and Return on Asset (RoA) were considered as a representation of financial performance (dependent variable) and IC has been considered as the independent variable along with control variables.

The findings reveal that IC components show greater explanatory power than aggregate IC and MVAIC has a positive relationship with firm performance. It is evident that Capital Employed Efficiency (CEE) and Relational Capital Efficiency (RCE) have a positive effect on the RoA, while Human Capital Efficiency (HCE) and CEE have a positive impact on RoE. CEE is found to be a highly significant component to explain the financial performance of Indian sugar mill firms.

The study has practical implications for the policymakers for effective utilization of IC resources for worth enhancement which is essential for the improvement of financial performance.

The research extends the literature of IC by linking it to the financial performance of Indian sugar mill industry.

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China during January 1, 2010–January 10, 2020 period.

The authors employ the nonlinear auto-regressive neural network as the forecast tool and evaluate forecast performance of different model settings over algorithms, delays, hidden neurons and data splitting ratios in arriving at the final model.

The final model is relatively simple and leads to accurate and stable results. Particularly, it generates relative root mean square errors of 1.05%, 1.08% and 1.03% for training, validation and testing, respectively.

Through the analysis, the study shows usefulness of the neural network technique for commodity price forecasts. The results might serve as technical forecasts on a standalone basis or be combined with other fundamental forecasts for perspectives of price trends and corresponding policy analysis.

This paper examines the impact of corporate digital transformation on employee satisfaction. Therefore, this study extends our understanding of the economic consequences of corporate digital transformation from employees’ perspectives.

The data used to construct our main proxy of employee satisfaction are collected from Kanzhun.com, which provides reviews by rank-and-file employees on their employers. This study uses a large sample of Chinese firms and adopts various empirical methods to examine the impact of digital transformation on employee satisfaction.

We find a significant positive relationship between corporate digital transformation and employee satisfaction. Moreover, we document that the relationship between corporate digital transformation and employee satisfaction is more pronounced in firms with higher labor intensity and in state-owned enterprises (SOE).

One significant limitation is that corporate digital transformation is constructed based on word frequency analysis. This approach may be influenced by variations in corporate disclosure practices and might not accurately capture the true extent of corporate digital transformation. This limitation is not only present in our research but is also pervasive in many other studies that utilize similar methodologies. Therefore, our results should be interpreted with this caveat in mind.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study suggests that corporate digital transformation enhances employee satisfaction, providing direct evidence for managers and regulators to promote corporate digital transformation. Through digital transformation, companies can not only improve operational efficiency but also foster employee satisfaction. This dual benefit underscores the importance of investing in corporate digital transformation for long-term success.

Our study contributes to the literature on the economic consequences of corporate digital transformation and extends existing research on the determinants of employee satisfaction. Additionally, it provides a novel measurement of employee satisfaction for a large sample of Chinese firms.