Current Issue : January-March Volume : 2025 Issue Number : 1 Articles : 5 Articles
International students have a significant impact on the host country’s economy. In Canada, they can help create jobs, contribute to the GDP, and solve the problem of labour shortages. Despite their significant contribution, international students have undergone a lot of challenges without appropriate support. Many international students reported being discriminated against due to many factors ranging from the language barrier to the lack of local experience. Thus, they experience mental distress and physical health issues. This study will explore the challenges that international students are facing and the strategies that they implemented to adapt to the Canadian workplace. The significance of the student can help policymakers develop plans to support international student workers, which ultimately contribute to the Canadian economy. The study result confirms the challenges faced by international student workers in previous literature. Several adaptation strategies were identified, such as 1) building networks, 2) gaining local working experience through volunteering, internship or on-campus jobs, 3) utilizing support from the university or professors, 4) leveraging family or friend support, and 5) upgrade their skill and knowledge to better fit with the new working environment....
Many individuals aspire to start their own businesses and achieve financial success. Before launching a business, they must decide on a location and the type of service to offer. This decision requires collecting and analyzing various characteristics of potential locations and services, such as average revenues and foot traffic. However, this process is challenging because it demands expert knowledge in data collection and analysis. To address this issue, we propose Neural Tensor Factorization (NeuralTF) and Explainable Neural Tensor Factorization (XNeuralTF). These methods automatically analyze these characteristics and predict revenues. NeuralTF integrates Tensor Factorization (TF) with Multi-Layer Perceptron (MLP). This integration allows it to handle multi-dimensional tensors effectively. It also learns both explicit and implicit higher-order feature interactions, leading to superior predictive performance. XNeuralTF extends NeuralTF by providing explainable recommendations for three-dimensional tensors. Additionally, we introduce two novel metrics to evaluate the explainability of recommendation models. We conducted extensive experiments to assess both predictive performance and explainability. Our results show that XNeuralTF achieves comparable or superior performance to state-of-the-art methods, while also offering the highest level of explainability....
The aim of this article is to provide a comprehensive framework for the implementation of best practices and strategies to enhance customer trust, which provides an analysis of the integration challenges and ethical considerations of Artificial Intelligence (AI) in e-commerce. The study identifies key technical, organizational, and financial barriers to AI adoption, and addresses ethical concerns such as data privacy, algorithmic bias, and transparency as they pertain to the adoption of artificial intelligence. As a result of systematic thematic analysis and expert consultations, the research is able to synthesize existing knowledge and develop practical guidelines that will facilitate the successful implementation of AI systems. The validated framework provides actionable strategies for e-commerce organizations that want to leverage AI technologies effectively while maintaining ethical standards and cultivating customer trust while leveraging AI technologies effectively. By examining AI's role in e-commerce, this study guides businesses in creating a trustworthy, efficient ecosystem that is AI-driven....
Live streaming has become an emerging business with a firm performance. We investigated the key factors that attract audiences to watch live streaming in the Taiwanese manufacturing industry. Nine experts in manufacturing and social media marketing participated in this study. The analytic hierarchy process (AHP) was employed to evaluate the key factors. Three main determinants were determined as a result, including audience motivation, pricing, and branding, each of which was further divided into three sub-factors. Consequently, the results revealed that the most essential factors of these three clusters were social aspects, brand design, and business trend analysis. The results also allow for an understanding of how traditional manufacturers have utilized live streaming to promote products and engage with their audience. These findings serve as a reference for Taiwanese manufacturers to incorporate live streaming into their business promotion strategies....
The innovation capacities of today's companies are the basis of their adaptability and sustainability. Knowledge, information, and data are increasingly important resources. The ability to attract and internalize external knowledge in the company and the involvement of clients, partners, consumers, and other stakeholders are essentially the basis of open innovation. The present study brings to the attention of the academic and business environments a correlation and connectivity between two insufficiently explored constructs: open innovation and Customer knowledge management. The study is based on a bibliometric analysis that uses the VOSviewer software to analyze the SCOPUS and Web of Science databases. The present research sets an exploratory framework for the two constructs. It creates a map of future research, clearly establishing the connection between the terms and the potential advantages for the business environment. The work starts from the definition and evolutionary understanding of the terms, reaching an exploratory bibliometric analysis that establishes the conceptual intersection points between the terms and finally sets a concluding framework regarding the evolution of relationships. The importance of exploiting external knowledge resources represents the metric force that generated this approach. More than that, the work fills the gap found in the literature regarding the exploitation of the relationship between the two concepts, something also highlighted by the small number of works included in the analysis. This work's contribution expands the academic point of view regarding the existing conceptual relationship between the constructs and the identification of methods and possibilities of exploitation of external knowledge for the benefit of the business environment....
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