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The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

This study aims to examine the mutual influence of causes of variation orders (VOs), claims/disputes (CDs) on project performance (PP) and stakeholder performance (SP).

Firstly, this study identifies the VOs, the CDs, criteria for measuring the PP and criteria for measuring the SP. Then, a survey questionnaire is created to collect data from stakeholders in construction projects. Using the factor analysis method, this study discovers the constructs of the VOs, CDs, PP and SP. The relationships among the constructs are then uncovered using a structural equation model.

The research findings confirm that the VOs and CDs have a direct effect on the PP, as well as the PP’s effect on SP, whereas the VOs and CDs have no effect on the SP. It is strongly recommended that critical factors such as poor management, construction method change, design/scope problems, uncontrollable objective problems, impediment problems, lack of commitment among parties and lack of experience and competence of parties should be given special attention to improve the SP.

The results of the study fill the gap in knowledge by examining the mutual influence of the VOs, the CDs, the PP and the SP. Discovering the mutual influence will assist managers in improving the PP and the SP.

This study aims to apply Benford’s law to examine the earnings management of companies listed in emerging ASEAN-5 countries: Indonesia, Malaysia, Philippines, Thailand and Vietnam.

The authors follow Amiram et al. (2015) to measure deviations from Benford’s law of the first digits of numbers reported in financial statements. The authors use the Jones-modified performance-match model (Jones, 1991; Dechow et al., 1995; Kothari et al., 2005) to estimate accrual earnings management. The authors use a sample of 47,389 observations of listed companies in ASEAN-5 countries from 2006 to 2019. The authors also run ordinary least squares (OLS) regressions to test the hypotheses.

The authors find that the first digits of numbers reported in the financial statements of companies in the sample closely conform to Benford’s law. Further evidence shows that the deviation from Benford’s law is positively related to abnormal accruals. The relationship between deviation from Benford’s law and abnormal accruals is more pronounced for the post-international financial reporting standards adoption period. The results survive for some robustness checks.

The authors show that Benford’s law holds for financial statements of companies listed in the emerging ASEAN-5 countries.

Auditors could use Benford’s law as an analytical procedure to assess the risks of material misstatements. Also, other users could apply Benford’s law on audited financial statements to foresee undetected misstatements.

The authors provide original evidence that financial statements of ASEAN-5 countries follow Benford’s law. The evidence supports the usefulness of Benford’s law in developing markets.

The purpose of this paper is to adopt the theory of planned behavior to close the entrepreneurial attitude–intention–behavior gap in the entrepreneurship field as well as test the key moderators of the entrepreneurial process, starting from entrepreneurial attitude and intention to behavior to engage in entrepreneurial activities – namely, entrepreneurship education.

The research used a sample of 2,566 students from 16 universities in Vietnam. First, Cronbach’s alpha and confirmatory factor analysis have been used to test the reliability and validity of scales. Then the coefficient paths in the conceptual framework were tested through structural equation modeling, and indirect associations were estimated via the PROCESS bootstrapping approach.

The research illustrated that both attitudes toward entrepreneurship and entrepreneurial intention serve as the central antecedents in the formation of entrepreneurial behavior. Also, when students are more entrepreneurially educated, the linkage between attitude toward entrepreneurship and entrepreneurial behavior was hypothesized to become stronger, yet the relation between entrepreneurial intention and behavior was weakened.

This research suggests useful recommendations for educators and policymakers to encourage university students’ favorable attitudes toward entrepreneurial activities, their intention to engage in them and their subsequent entrepreneurial behavior.

This research is expected to make a significant contribution to the entrepreneurship literature by closing the entrepreneurial attitude–intention–behavior gap as well as enriching our understanding of the influence of entrepreneurship education on the entrepreneurial process. Importantly, this research reveals that entrepreneurial education significantly moderates the effects of attitude toward entrepreneurship and entrepreneurial intention on entrepreneurial behavior.

The present study provides a comprehensive review of the advancements in five active heating modes for cold-proof clothing as of 2021. It aims to evaluate the current state of research for each heating mode and identify their limitations. Further, the study provides insights into the optimization of intelligent temperature control algorithms and design considerations for intelligent cold-proof clothing.

This article presents a classification of active heating systems based on five different heating principles: electric heating system, solar heating system, phase-change material (PCM) heating system, chemical heating system and fluid/air heating system. The systems are analyzed and evaluated in terms of heating principle, research advancement, scientific challenges and application potential in the field of cold-proof clothing.

The rational utilization of active heating modes enhances the thermal efficiency of cold-proof clothing, resulting in enhanced cold-resistance and reduced volume and weight. Despite progress in the development of the five prevalent heating modes, particularly with regard to the improvement and advancement of heating materials, the current integration of heating systems with cold-proof clothing is limited to the torso and limbs, lacking consideration of the thermal physiological requirements of the human body. Additionally, the heating modes of each system tend to be uniform and lack differentiation to meet the varying cold protection needs of various body parts.

The effective application of multiple heating modes helps the human body to maintain a constant body temperature and thermal equilibrium in a cold environment. The research of heating mode is the basis for realizing the temperature control of cold-proof clothing and provides an effective guarantee for the future development of the intelligent algorithms for temperature control of non-uniform heating of body segments.

The integration of multiple heating modes ensures the maintenance of a constant body temperature and thermal balance for the wearer in cold environments. The research of heating modes forms the foundation for the temperature regulation of cold-proof clothing and lays the groundwork for the development of intelligent algorithms for non-uniform heating control of different body segments.

The present article systematically reviews five active heating modes suitable for use in cold-proof clothing and offers guidance for the selection of heating systems in future smart cold-proof clothing. Furthermore, the findings of this research provide a basis for future research on non-uniform heating modes that are aligned with the thermal physiological needs of the human body, thus contributing to the development of cold-proof clothing that is better suited to meet the thermal needs of the human body.

This paper aims to investigate the impact of the COVID-19 pandemic on university students' employability skills and give insights into preparation for future crises that may happen.

Employing an interpretative phenomenological approach with the frame of social cognitive theory, the current study examined the changes in environmental, behavioral and personal elements of human functioning for employability skills being affected by the conditions during the pandemic.

Findings based on ten in-depth semi-structured interviews with students at universities in Vietnam highlighted that the global pandemic performed as both challenge and an opportunity for employability skills development, yet the extent to which the students can benefit from the new studying conditions attributed to each individual's initiatives in taking advantages of resources and acting against difficulties.

Whether the pandemic became a hindrance or a motivation for students' employability skills to develop and whether students effectively utilized an agency to overcome challenges and improved their skills after the pandemic have not yet been investigated. This study added to the body of literature regarding self-regulated learners by demonstrating agency in the learning process as well as how to manage careers and improve employability skills by making use of resources in disconnected settings.

The choices that international students make regarding abroad study destination selection or leave the host country after graduation are influenced by a variety of factors that are both related to positive and negative aspects of the host country.

This study builds on the push-pull factor theory and examines the factors that influence international students' decision to choose abroad study destination (Finland) or leave the country after their graduations. The data were collected through an online survey of 195 international students currently studying in Finland and were analysed using partial least squares structural equation modelling (PLS-SEM) technique. This method offers a flexible and robust approach to test relationships, particularly in situations where sample size and the conceptual model are small and complex.

The results show that international students' choice of study destination (Finland) is influenced by the host country's quality of life, academic excellence and economic factors such as salary and benefits. Unfamiliarity with the culture and language barriers have a negative impact on their decisions to stay in the host country after graduation.

By utilising a comprehensive analysis of both push and pull factors in relation to the host country, this study unveils a novel perspective in the field of international student mobility. The results provide insights to the institutional leaders and policymakers into how to attract and retain international students by focusing on the factors that matter most to international students. To attract more international students, higher education institutions (HEIs) should include career development activities, e.g. job fairs, language training, scholarships and internships in their curriculum. Moreover, it provides recommendations on how to create a welcoming and supportive environment that promotes academic excellence and career development.

This paper aims to focus on the effect of the operating condition such as the impeller speed on the centrifugal fan performance and flow characteristics. The ability to predict the behavior of the airflow motion in a centrifugal blower is essential for obtaining the topology optimization design.

A physical model of the air blower consisting of these main parts in a blower system: collector, impeller, outlet flange and volute casing, and the appropriate boundary conditions are set up by ANSYS software. Computation fluid dynamics are performed for the numerical analysis. The calculation of blower performance parameters such as total pressure, efficiency and flow rate is based on the Reynolds averaged Navier–Stokes equations and k-εturbulence flow model.

The numerical results show that the change in operating conditions has a significant effect on the blower performance, and the pressure maintained inside the blower is higher for a larger impeller rotational speed.

This work is original and has not yet been submitted to elsewhere or published previously.

Due to high demand for international talents and skilful workforces, many countries around the world, especially the ageing populations are now looking for new ways and strategies to attract more international talent. Drawing on push-pull factor theory, integrated with theory of reasoned action (TRA), this research examines international students' intention to stay or to leave the host country after completion of the students' studies.

A conceptual model has been proposed and evaluated aimed at understanding the factors that influence the decision-making of international students studying in Finland. Data were collected from a sample of 292 international students in Finland and structural equation modelling (SEM) was used to analyse the data and examine the relationships between various constructs in the model.

The SEM results show that several factors influence students' decision to stay or leave the host country after graduation. Aspects related to host country, institutional and economic factors and social influence (norms) directly impact students' attitude towards staying. In addition, attitude towards staying not only has a direct impact on the intention to stay, but also mediates the relationship between different pulling factors and students' intention to stay in the host country. Moreover, challenges and barriers (such as local language, challenge of finding employment and challenge of assimilating into the community or making friends) have a negative impact on the decision to stay in the host country.

This study uses push-pull theory in the Finnish context, contributing to the growing body of literature on international education policies and practices. The findings highlight the need for a more holistic approach to supporting international students, one that considers the students' unique needs and experiences in the host country and provides the students with the necessary resources and support to succeed.