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The motivation of this article is to better understand the determinants of international banking integration of non-Euro CESEE EU Members. One stylized fact for these economies is the building up of external financial vulnerabilities since the beginning of the Transition period, with a large weight of cross-border banking, particularly with the European Union. In relation with the literature on the impact of gross financial flows on financial stability, we therefore estimate the long-term historical, geographical and cultural determinants of cross-border banking claims with a bilateral financial gravity model. We then analyze the impact of domestic (pull), foreign (push) and global factors using the gravity framework. Our results first show that cross-border banking in these economies is significantly driven by geographical proximity and common historical links, particularly with EU Member States. Second, we find that banking sector health variables are more significant as push factors, while structural banking system variables are more significant as pull factors. These results provide evidence in favor of an impact of European banking systems on financial liabilities in this region, in relation with the very high level of EU ownership of banking assets. Finally, US global liquidity factor matters more than exchange rate stability, which points towards policy dilemma effect in the region.; La motivation de cet article est de comprendre les déterminants de l’intégration bancaire des pays d’Europe Centrale et du Sud-Est membres de l’Union Européenne. Un fait stylisé commun est l’accroissement des vulnérabilités financières externes de ces économies depuis la période de transition post communiste, avec un large poids des créances bancaires transfrontières, particulièrement détenues par les pays de l’Union Européenne. En lien avec la littérature sur l’impact des flux bruts de capitaux sur la stabilité financière, nous cherchons à identifier dans un premier temps les déterminants historiques, géographiques et culturels de long terme des créances bancaires transfrontières dans le cadre d’un modèle de gravité financier bilatéral en panel. Puis nous identifions les facteurs domestiques, étrangers et globaux pouvant influencer les créances transfrontières dans un cadre gravitaire grâce à l’estimation d’une spécification à effets fixes bilatéraux. Nos résultats tendent à montrer l’importance des liens intra-européens comme facteurs de croissance des créances bancaires transfrontières, du fait de la significativité des variables de faible distance, d’histoire commune et d’appartenance à l’Union Européenne. Par ailleurs, nos résultats soulignent l’importance des facteurs environnementaux (étrangers et globaux) ainsi qu’un potentiel effet de dilemme de politique monétaire, avec un impact supérieur du facteur de liquidité globale par rapport à la stabilité du taux de change.

The prevailing approaches to modelling interactive uncertainty with epistemic models in economics are state-based and type-based. We explicitly formulate two general procedures that transform state models into type models and vice versa. Both transformation procedures preserve the belief hierarchies as well as the common prior assumption. By means of counterexamples it is shown that the two procedures are not inverse to each other. However, if attention is restricted to maximally reduced epistemic models, then isomorphisms can be constructed and an inverse relationship emerges.

This article targets to unriddle the problem of a non-cooperative fully fuzzified ’Zero Sum Two Person Matrix Game’ (ZSTPMG) with payoff matrix equipped with Trapezoidal fuzzy numbers (TrFNs). To achieve the target a unique and novel decomposition technique has been introduced. First, we develop two auxiliaries fully fuzzified linear programming problem (FFLPP) models for both the players and then we decompose these two FFLPP models into four linear programming (LP) models each, for both the players. These eight LP models are then solved by using the software TORA-2.0. The solutions of these eight LP models ascertain the optimal strategies and the optimal value of the fully fuzzified ZSTPMG for both the players. Our technique has an advantage over the existing ones as it can solve fully fuzzified ZSTPMG with all kind of TrFNs such as symmetric, asymmetric, positive or negative TrFNs. To establish this fact, the proposed methodology has been illustrated by taking three numericals equipped with various kinds of TrFNs.

Abstract Professor Saras Sarasvathy is the recipient of the 2022 Global Award for Entrepreneurship Research. Her research contributions have fundamentally changed and invigorated the conversation in the domain of entrepreneurship research. Sarasvathy’s work on effectuation emphasizes how entrepreneurs operate based on available resources, think in terms of affordable loss rather than profit maximization, leverage trustworthy partnerships, and treat unforeseen contingencies as opportunities rather than problems. It has led and inspired a new generation of researchers in the quest for a better understanding of how entrepreneurs make their decisions and the unfolding of the entrepreneurial process.

Fatigue failure of wires is a frequent issue that evolves over time as a result of utilizing the profile under variable stress and temperature. In this article, an innovative study makes it possible to propose a protective tool for metal profiles against fatigue using shape memory alloys (SMA). Smart actuators like SMA are able to push back sudden stresses above the elastic limit, therefore, are characterized by high resistance to fatigue and even against corrosion due to their strong thermomechanical coupling. Besides, the study provides the results necessary to add a layer based on the shape memory tube to protect the important connectors for industrial systems and automotive industries. The conductivity of electrical current in various electronic devices depends on the copper material, which is good at conducting electricity and heat but weak against mechanical forces and hence easily susceptible to fatigue. Thereby, the elastic regime of copper is different from that of SMA, and in order to adapt the properties of two materials, a mathematical study can describe the behaviour of two combined systems is important for the analysis of the cyclic effect and for adapting the proposed actuator in wiring technology. Therefore, the study shows the great potential of the proposed SMA tube with its superelastic behaviour to increase the predicted lifespan of metallic wires against corrosion and fatigue. The lifetime of the conduction system with the protective SMA is increased remarkably and can reach up to 105cycles under the action of the stress of an amplitude of 550 MPa, the finite element simulation shows that the system of SMA combined with a 4 mm wire undergoing significant stress up to 490 MPa that can reach a deformation of 7% and return to the initial state without residual deformation. The simulation's results look at the evolution of stress, strain, fatigue lifetimes, and anticipated damage, and they match the experimental results of SMA tube properties rather well. Consequently, the verification of the proposed model confirms the improvement in the lifespan of studied wires compared to wires without SMA encapsulation.

Quality is essential in today’s competitive market to ensure customers are happy; recent research shows that about 90% of customers think quality is just as important as price when purchasing. Total quality management (TQM) has been a boon to the economies of many countries. Different tools and methods are used in TQM to give customers the best quality. However, there are some challenges that manufacturing organizations face when implementing these tools. Much research has been done on MSME sector, so far as label manufacturers are concerned, there has yet to be any research on a national or international level. In this study, we found 66 barriers to programs to improve quality in the label printing industry. We have used fuzzy MICMAC analysis and total interpretive modeling (TISM) to make a structural model. Our research paper provides an easy-to-use methodology and critically analyses the biggest obstacles to the successful application of TQM in the flexographic printing industry. Our research identified ten issues with the implementation of TQM in this industry. The paper has identified the interdependencies of the above variables. The findings of this research will aid in future planning, particularly in E-commerce and the pharmaceutical industry, where proper label printing is crucial.

Urban flooding nowadays becomes common throughout the world. The main reason for these floods is rapid urban development and climate change. During the monsoon, the flows in the urban drains will be high and the main reason for these high flows is the existence of a combined network system (i.e. drainage and stormwater). Further, the flow in the city (under study) drainage network was very high and some areas of the network exceeds more than discharge carrying capacity. Hence, this may result in overflow from the manholes and create an overland flood problem. Rainfall-Runoff modeling in these situations in the urban catchment will be essential and required to understand the flow pattern that helps in flood management. Therefore, the current study chose Hydrologic Modeling System (HEC-HMS) and Artificial Neural Network (ANN) for rainfall-runoff modeling at an hourly period for the Kukataplly (zone-12) watershed of Hyderabad city, Telangana State in India. This zone-12 watershed was one of the most affected hydraulic zones of Greater Hyderabad Municipal Corporation (GHMC) during the monsoon period in the past 21 years. The present study focuses on a comparative study between HEC-HMS and ANN has been carried out to comprehend the flood scenario in the study area. Finally, the performance of the model is checked with statistical indices such as Nash-Sutcliff Efficiency (NSE), and Coefficient of Determination (R2). HEC-HMS yielded good results (NSE = 0.74 and R2 = 0.76) when it has taken care of the maximum possible nonlinear complex data to be analysed.

Utilizing soft computing, a maximum power point tracking (maximum PPT) control algorithm is developed, and its performance is compared to that of more traditional Lead Acid battery charging methods such as incremental conductance technique-based maximum PPT. Since the power vs voltage graph of a photovoltaic (PV) cell is nonlinear, a suitable control method seeks to obtain the highest power under dynamic conditions. In order to construct a PV cell with the maximum PPT, a fuzzy logic control approach known as soft computing is used. The cell active energy is used to charge the lead acid battery. A fuzzy logic compares its performance with the incremental conductance technique under dynamic conditions. Moreover, dc to dc converter is required to maintain constant output voltage to charge the battery under low level voltage. A zeta converter is taken to maintain output voltage under various insolation. The significance of algorithm is demonstrated by MATLAB Simulation results and hardware results.

Although mechanical combination results in more valid human performance predictions and decisions than holistic combination, existing publications suggest that mechanical combination is rarely used in practice. Yet, these publications are either descriptions of anecdotal experiences or outdated surveys. Therefore, in several Western countries, we conducted two surveys (total N = 323) and two focus groups to investigate (1) how decision makers in psychological assessment and human resource practice combine information, (2) why they do (not) use mechanical combination, and (3) what may be needed to increase its use in practice. Many participants reported mostly using holistic combination, usually in teams. The most common reasons for not using mechanical combination were that algorithms are unavailable in practice and that stakeholders do not accept their use. Furthermore, decision makers do not quantify information, do not believe in research findings on evidence-based decision making, and think that combining holistic and mechanical combination results in the best decisions. The most important reason why mechanical combination is used was to increase predictive validity. To stimulate the use of mechanical combination in practice, decision makers indicated that they should receive more training on evidence-based decision making and that decision aids supporting the use of mechanical combination should be developed.

Food supply chain management has become a remarkable issue due to the increasing food waste caused by globalization and population growth. It is essential to gain understanding of the drivers of circular economy in food supply chains and investigate stimulating factors in the development of circular food supply chains. Thus, this study conducted a systematic literature review from 2008 to 2020, including an analysis of 137 articles performed on data to answer specific research questions regarding circular food supply chain drivers. Drivers for transition to circular economy in food supply chains are presented in five main categories with 22 sub-drivers. This research contributes to the existing literature by presenting a novel approach to digital transformation in smart food supply chains through the integration of Industry 4.0 technologies. The findings present potential drivers of circular economy in food supply chains for digital transformation. This study also ensures operational efficiencies by digital technologies in food supply chains that can be beneficial for practitioners.

In this paper, for the first time, the Laplace Homotopy Perturbation Method (LHPM), which is the coupling of the Laplace transform and the Homotopy Perturbation Method, is employed to solve non-linear time-fractional Klein-Gordon (TFKG) equations. In other words, for the first time in literature, LHPM is used to solve non-linear TFKG equations. First of all, the procedure of LHPM on TFKG with Caputo fractional derivative is developed. Further, the developed approach of LHPM on TFKG is used for two different examples. This in turn proves the versatile nature of the proposed method. In addition, the validity of the approach is proved by comparing the numerical solutions of both examples with their exact solution. Finally, the comparison of relative errors calculated in each example proves the efficiency and effectiveness of the proposed method on TFKG equations.

To assure the reliability and quality of the final product, testing is an essential and crucial part in the software development cycle. During this process, fault correction/detection activities are carried out to increase the reliability of the software. The non-homogeneous Poisson Process (NHPP) is the basis of the investigated software reliability growth models (SRGMs), which are based on the supposition that the number of faults found is affected by the amount of code covered during testing and that the amount of code covered during testing depends on the testing effort expended. This research takes into consideration several testing coverage functions: exponential, delayed S-shaped and logistic distributions, to propose three SRGMs that are based on testing efforts. For testing effort expenditure Weibull distribution has been employed. Two real failure datasets have been utilised to validate the proposed models, and their performance is evaluated using four goodness-of-fit metrics, including predictive ratio risk (PRR), coefficient of determination (R^2 ), predictive power (PP) and mean square error (MSE). Sensitivity analysis of cost requirement-based release time of software for exponential function has been done by using a genetic algorithm, which minimized the overall cost of the software subject to the requirement for reliability.

Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It’s become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.

The objective of the study is to determine whether artificial intelligence (AI) tools, software, and technology can assist management in identifying intangibles such as the employee engagement level and offer hints as to what factors influence it and how management can work to enhance it. A descriptive study was carried out to better understand the research topic. A structured survey questionnaire was employed to collect the data, in which the closed-ended questions used a Likert-type scale. The questionnaire measured AI’s effects on productivity, organisational effectiveness, employee satisfaction, and employee engagement. The survey was published on Google Forms, and a link was provided to the respondents. The data were analysed using the Statistical Package for Social Sciences version 28. Statistically significant results were obtained on the association between AI and the determinants of organisational effectiveness, increased productivity, employee satisfaction, and employee engagement. AI thus influences the study variables, and the results are statistically significant. The employees of an organisation will adopt and use new technologies if the technology is easy to use and adopt and beneficial to them. The management of organisations can source technologies like AI and other tools that are easy to use, and they can implement such technologies in a phased manner, educating employees on the advantages and benefits of the technology to maximise employee engagement.

For most companies, supply chains have become the most crucial factor in their competition rather than individual competition, enabling any company to gain a competitive advantage against another organization through efficient and effective supply chain management. Supply chain drivers have become one of the most critical potential valuable access to a competitive advantage by enhancing and improving organizational performance. This study aims to explore the impact of the drivers of the supply chain on the performance of pharmacies of the Ministry of Health in Jordan. The study used the descriptive analytical approach and simple random sampling. 300 electronic questionnaires were designed via Google Sheets and sent via email and social media to employees in the Jordanian Ministry of Health pharmacies. The study retrieved 252 questionnaires valid for analysis. SPSS was employed to analyze the data and test the hypotheses. The results showed that the Beta-value is 0.849, T-value is 25.370, at a significance value of 0.000, which means that supply chain drivers affected the Ministry of Health pharmacy’s performance. The estimated regression equation means that any one-unit increase in the level of supply chain drivers will lead to an increase in Ministry of Health pharmacies’ performance by 0.789. Furthermore, the performance of the supply chain drivers was moderate, and the general performance was high. The study recommended that pharmacies focus on employing software and modern technology in inventory control.

Undeniably, this new normality brought about by COVID-19 represents an extraordinary challenge for universities, from strengthening infrastructure, technology, and quality of services, to achieving happiness in their collaborators. In response, this study aims to examine the effect of servant leadership on happiness at work, with emotional salary as a moderating variable. The paper adopted a quantitative methodological perspective with a non-experimental design whose study sample consisted of 269 collaborators among teachers and support staff of the Peruvian Union University, Peru. An exploratory factor analysis was performed to determine the latent structure of the constructs, presenting an adequate internal consistency (α > 0.7). On the other hand, the confirmatory factor analysis presented an adequate fit. The results showed a significant effect (β = 0.306; p < 0.001) of servant leadership on emotional salary, as well as a significant effect of emotional salary on happiness at work (β = 0.724; p < 0.001). This study provides a valuable perspective for universities seeking to improve the happiness of their employees in the context of the new normal. It emphasizes the importance of servant leadership and emotional salary to achieve this goal. By implementing these strategies, universities can increase employee satisfaction and improve the quality of their services and the student experience.

This study aimed to examine the contribution of the hidden curriculum to gender inequality in teaching and learning materials. Despite the efforts to have an official curriculum through school textbooks and learning materials. The hidden curriculum continued to encourage gender inequality through teaching and learning materials. The study examined the content and portrayal of males and females in primary school social studies textbooks. The study used a qualitative research approach and the documentary review method was used to gather information from books, published articles, and policy documents. The findings show that there was an improvement in addressing gender inequality in textbooks and learning materials. The findings show that the visibility and representation of females in textbooks have increased. However, gender roles were portrayed in stereotypical ideas and images that encourage gender bias. The study concluded that teaching and learning materials encourage a hidden curriculum that facilitates the underrepresentation of females and males in textbooks. Therefore, the Government in collaboration with the relevant authorities should ensure that the development of teaching and learning materials considers gender-responsive content and gender balance in role allocation. There is a need to increase awareness among reviewers and book authors on gender sensitivity in the preparation of teaching and learning materials in order to ensure adherence to gender equality principles.

The full-scale military invasion of Ukraine by the Russian Federation in 2022 triggered a massive wave of forced migration to Poland. This has resulted in the phenomenon of ‘unintended transnationalism.’ Transnational migrants do not part with their country of origin forever but live a double life, act as members of two socio-cultural communities and become carriers of a double culture. This study aims to systematize the socio-cultural peculiarities of the unintended transnationalism of military migrants from Ukraine to Poland.The theoretical foundations of migrants’ transnationalism are systematically analyzed and its main characteristics are systematized. The emergence of the so-called unintentional transnationalism of military migrants is revealed. A comparative analysis made it possible to compare transnational processes in Poland and Ukraine. The study found that migrants’ transnationalism is manifested through sharing their cultural values, traditions, and customs in a new cultural environment. The culture of migrants includes elements of the host country’s culture, elements of the culture of the migrants’ homeland, as well as new elements arising from the interaction of these two cultures. The main manifestations of migrants’ culture are language and communication, education, religious practices, intercultural dialogue, relations between representatives of different cultures, and other aspects of their daily lives. The study has shown that the transnationalism of military migrants can generate various cultural processes, including multilingualism, hybridization, cultural diffusion, cultural preservation, and intercultural dialogue.

This study aims to assess the positive impact of infrastructure investments on the dynamics of economic growth. The sample includes ten countries (Azerbaijan, Albania, Belarus, Bulgaria, China, Georgia, Mexico, Moldova, Serbia, and Turkey) for 2011–2020 that meet the following criteria: belong to upper-middle-income economies (according to the World Bank Atlas method); the OECD statistical database contains data on investment volumes in infrastructure development of road, railway transport, inland waterways, sea, and airports (by all financing sources). The primary focus was put on the analysis of this issue in Azerbaijan. GDP per capita growth was selected as the resulting parameter; the main dependent variable was infrastructure investment volumes (total inland and infrastructure road, rail, and air investment), and additional dependent variables were a foreign direct investment (net inflows) and gross domestic investment. Shapiro-Wilk test (for checking normal data), Spearman and Pearson methods (for correlation estimation), Granger test (for detecting causal relationships), and Arellano-Bond dynamic panel-data estimation (for influence formalization) were used. As a result, the following parameters exert the greatest influence on economic growth level: value of gross domestic investment (its growth by 1% causes GDP per capita growth to increase by 0.54% without a time lag); value of infrastructure investment inland (total) (by 1.51% with a three-year lag); value of infrastructure road investment (by 0.41% with a three-year lag). These results can help future research and decision-making at different management levels to strengthen economic growth through infrastructure investment.

The COVID-19 has affected and continues to impact several areas of human life and activity. With a particular focus on China, this reflection shares authors’ observation on how COVID-19 may affect international higher education landscape and future trends of students’ choice for study destinations. As internationals, one a PhD student and the other an assistant lecturer, we draw upon insights from recent research on the impact of COVID-19 on higher education and our observation. The observation revealed that the impact of COVID-19, in a context of nationalism rise and economic tension between China and many foreign countries, might not be of big impact on China as a host country. The successful battle China has been leading and keeping the situation under control, so far, reassures international students to consider China as rather a safe and protective destination for a future study plan. The reflection further revealed that the declining interest of Chinese students to study abroad after COVID-19 will rather empower the home country both in terms of economic income and scientific contribution. This reflection is one of the few studies investigating the impact of COVID-19 on the international higher education landscape and the future trend of students’ choice for study destination by looking into China as a host country. The study has relevant policy implications on understanding and informing international education actors of the change that may occur on the international higher education landscape and the trend in student mobility due to the COVID-19 pandemic.

The COVID-19 pandemic has caused massive disruption to business as usual across all industries, including education, and there is a growing consensus that the higher education (HE) sector may never go back to ‘business as usual’. While universities are now developing strategies for 2030, several management consultancies are projecting a very challenging HE landscape in the next decade. Suggestions, from the death of the normal university campus to shutdowns, mergers and collaborations are widely predicted including new opportunities for growth. University administrators should develop innovative strategic plans to address the challenges and harness the growth opportunities. Although other industries have faced such disruptions and have coped with responses such as partnerships and mergers, it may be time for universities to reconsider business models for the future. The strategies adopted in the aviation industry have been used to recommend a way forward for universities.

The COVID-19 pandemic posed significant disruptions in traditional educational policies and practices worldwide. The study adopted an equity, diversity, and inclusion lens to investigate the impact of the pandemic on international students in a Canadian university. The findings from data analysis identified challenges and supports for international students in five areas: academic, financial, health and well-being, socialization, and housing and accommodation. There were several gaps between international students’ academic and social needs during the pandemic and the institutional support. While the university prioritized supports in the academic domain, international students identified social challenges as more significant during the pandemic. The gap was also evident in communicating institutional support to students, as some students were not aware of the spectrum of institutional services. Finally, there was a need for more targeted support for international students. The pandemic called for more fundamental and comprehensive actions to support the diverse student population.

In this essay, we set out to explore the ways in which our approaches and assumptions around internationalisation, and the experiences of international students, have been challenged. Drawing on our experiences as academics through the transitioning times over the last two years, we have chosen to approach this through a series of reflections on four themes: university as an imagined community, globalisation, home not as a metaphor, and a journey toward humility. Through this essay, we invite discussions on these topics to foster excellence in teaching and learning internationalisation in the higher education sector.

Teaching codes of conduct form part of the ethics infrastructure of universities seeking to raise teaching standards and promote academic integrity. These codes stipulate desired teaching practices necessary for faculty members to make informed choices regarding their teaching role performance. This study investigated the existence of publicly posted codes of conduct for undergraduate teaching in a random sample of 100 universities ranked among the Times Higher Education World University Rankings top-400 institutions. Based on DiMaggio & Powell’s (1983) model of institutional isomorphism, we posited the Times Higher Education World University Rankings top-400 institutions as an organizational field. Findings reveal tepid isomorphic pressures for codes of conduct in this organizational field as a slight majority of these top universities publicly post codes of conduct with tenets reflective of ethical principles for teaching. Lower ranked universities post codes with more of these tenets than higher ranked universities and in particular tenets very protective of students as clients. These tenets relate to moral behavior and whose ethical infringement have legal ramifications, such as not having sexual relationships with students, harassing students, or teaching while intoxicated from alcohol or drugs. Isomorphic pressures to publicly post codes may be stronger among lower ranked universities that emphasize teaching and research. Since a code of conduct may increase faculty members’ sensitivity to ethical issues but not actually promote ethical behavior, we recommend reinforcement activities for faculty members.

The aim of this study was to develop, with the participation of international students, the content of an online system that these students could use in the process of acculturation and adapting to a new environment. The action research with participatory design approach was selected as the research model from among the qualitative research methods and was implemented. Within the scope of the study, the topics that the students were interested with regard to Turkish culture, problems of adaptation to the Turkish culture and environment, and their expectations of the content of the online system to be developed were determined. These data were used to determine the main content heading of the online system. Later, the content development activities of the online system were carried out with the active participation of 18 international students.

The internationalization of higher education has become a key policy within the global higher education sector. Yet a large body of literature suggests that simply having a diverse group of students does not guarantee meaningful intercultural engagement. This paper presents a qualitative study intended to gain a richer understanding of Hong Kong’s higher education environment. In-depth interview data were collected from students of different cultural backgrounds and from academic, non-academic, and managerial staff at three Hong Kong universities. The data collection period covered local political turmoil in Hong Kong as well as the COVID-19 pandemic. Results indicate that, due to language barriers and potentially opposing political ideologies, all students faced challenges engaging with others who were culturally different from themselves. These findings can facilitate the development of an adaptable cross-institutional framework for meaningful intercultural learning.

Universities in Canada are increasingly attracting international students, but few studies have examined their experiences. This research identified the key supports and barriers for international students in order to make policy-relevant recommendations. This convergent mixed-methods study combined survey (n = 104) and interview (n = 14) data to investigate international student experiences through the lens of international students. Exploratory factor analyses revealed writing and mathematics skills and relationships with faculty and students as key factors for success. Frequency analyses revealed that racism was a persistent barrier. Assistance, access, diversity and equity issues were also raised. Open and axial coding of qualitative data corroborated these findings and revealed three dimensions of internationalization according to international students’ perspectives: Exchange; Understanding, Sharing, and Support; and Transformation. Recommendations to universities included offering bursaries to international students from underrepresented regions, developing intercultural awareness of faculty, and providing program-specific student support centres with peer mentors.