https://www.um.edu.mt/library/oar/handle/123456789/129685 2026-04-10T02:35:27Z 2026-04-10T02:35:27Z Bednarz-Okrzyńska, Kamila https://www.um.edu.mt/library/oar/handle/123456789/129893 2024-12-16T07:00:26Z 2024-01-01T00:00:00Z

Title: Evolution of determinants of regional development in selected European Union countries Authors: Bednarz-Okrzyńska, Kamila Abstract: PURPOSE: Regional development can be understood as a complex economic category describing a multidimensional, heterogeneous, and long-term process aimed at enhancing the existing state of a given region based on established criteria. The purpose of this article is to determine whether the significance of the determinants of such development remains constant over time and across different regions.; DESIGN/METHODOLOGY/APPROACH: Weights for the selected nine variables describing regional development were determined using the distance minimization method. The study was conducted on 158 regions across eight European Union countries, using data from 2010 and 2023.; FINDINGS: Beyond the challenge of selecting variables that characterize regional development, it is also essential to ascertain the significance of individual indicators by assigning them specific weights. In the literature, there is often a tacit assumption that all selected diagnostic variables are assigned equal weight. However, such an approach overlooks the structure of the object, data quality, and so on.; PRACTICAL IMPLICATIONS: Precisely determining weight values that reflect the importance of various variables in the context of regional development can be valuable in identifying priority areas to be considered in a range of socio-economic decision making processes.; ORIGINALITY/VALUE: This article presents the potential application of distance-minimization methods to weigh the significance of factors determining regional development.

2024-01-01T00:00:00Z Luft, Radosław Kalinowska, Katarzyna Weinert, Adam https://www.um.edu.mt/library/oar/handle/123456789/129892 2024-12-16T06:59:44Z 2024-01-01T00:00:00Z

Title: The role of AI in company's image management Authors: Luft, Radosław; Kalinowska, Katarzyna; Weinert, Adam Abstract: PURPOSE: The purpose of this article is to explore the impact of artificial intelligence (AI) on company image management. The research investigates how AI-driven innovations contribute to improving a company’s reputation, perception by stakeholders, and overall competitiveness in the market. It aims to identify the specific AI functions that have the most significant influence on enhancing corporate image and long-term growth.; DESIGN/METHODOLOGY/APPROACH: The study utilizes a quantitative research design, employing a stratified sampling method to gather data from companies across various sectors that are actively using AI in their operations. Data was collected through an original questionnaire with 20 determinants, rated on a seven-point Likert scale. Statistical methods, including descriptive statistics, were used to analyze the impact of AI on sustainable growth and image management. The snowball sampling method ensured diversity in the analyzed enterprises.; FINDINGS: The results indicate that AI plays a pivotal role in improving a company's image by enhancing functions such as Monitoring Online Reviews, Detecting Social Trends, and User Recommendation Analysis. These AI applications are rated highly by respondents in terms of their contribution to reputation building. However, functions like Price Strategy Optimization received lower ratings, suggesting areas for further development. Most variables have a mean score above 4.5, reflecting the positive perception of AI's role in image management.; PRACTICAL IMPLICATIONS: The findings provide practical insights for companies looking to leverage AI to improve their public perception and stakeholder relations. Businesses can prioritize AI functions such as online review monitoring and social trend detection to strengthen their image. Additionally, the study highlights the need for continuous monitoring and optimization of AI applications to maximize their impact on reputation and competitiveness.; ORIGINALITY/VALUE: This research contributes to the growing body of knowledge on the intersection of AI and corporate image management. It offers empirical evidence on the specific AI functions that most significantly influence how companies are perceived by stakeholders, filling a gap in the literature on AI's role in intangible asset management. The study provides valuable insights for both academics and practitioners interested in the strategic use of AI for reputation enhancement and long-term business growth.

2024-01-01T00:00:00Z Kozuba, Jarosław Jemielniak, Mirosław Markiewicz, Joanna Kamecki, Sebastian Dyl, Krzysztof Podlewski, Marcin https://www.um.edu.mt/library/oar/handle/123456789/129891 2024-12-16T06:59:26Z 2024-01-01T00:00:00Z

Title: Leveraging knowledge and competence management for international expansion in railway vehicle maintenance : a case study Authors: Kozuba, Jarosław; Jemielniak, Mirosław; Markiewicz, Joanna; Kamecki, Sebastian; Dyl, Krzysztof; Podlewski, Marcin Abstract: PURPOSE: The aim of the article is, on the basis of a case study, to present the specificity of the German and Polish market regulations through the prism of a company that has been successfully implementing the strategy of expanding the provision of services in the field of maintenance, servicing and repairs of rolling stock in Germany for several years.; DESIGN/METHODOLOGY/APPROACH: A case study which explores specific phenomena in-depth within their real-life contexts. By focusing on a single case it provides rich, contextualized insights that may not be captured through quantitative methods.; FINDINGS: The analysed case indicates that also in such traditional sectors as rail transport and maintenance of rail vehicles, knowledge and competence management, which is often related to modern sectors of the economy, may be an important element of building a business model as an element of a development strategy.; PRACTICAL IMPLICATIONS: The development strategy of the company in question assumes the configuration of external and internal resources with particular emphasis on the development of intellectual capital as a knowledge component that determines the competitiveness not only on the Polish market but also on the European Union (EU) market.; ORIGINALITY/VALUE: The presented case study confirms that the railway vehicle maintenance sector absorbs innovations not only in the area of technique and technology but also in the area of business models, which have now become a tool for building business strategies.

2024-01-01T00:00:00Z Mah, Pascal Muam https://www.um.edu.mt/library/oar/handle/123456789/129866 2024-12-12T07:30:09Z 2024-01-01T00:00:00Z

Title: National AI strategies Authors: Mah, Pascal Muam Abstract: PURPOSE: This study investigates national AI strategies across sectors with a primary goal to construct an AI model that aspiring countries can utilize to formulate their own tailored AI strategies.; DESIGN/METHODOLOGY/APPROACH: We investigated 62 national AI strategies and policies across 12 sectors. Our investigations center on AI national interest, AI national priorities, AI national attention, AI national performance, AI national investments and AI national ranking. We use the python Google Colab programming library to build our model that tracks the number and amount of AI investments projects, investments priority for the 62 nations and predict the best nation with AI strategies.; FINDINGS: The study analysis and evaluation of investment patterns as identified from the data published by OECD and TortoiseMedia. Our model successfully tracked and compared AI investments priorities for the 62 nations with a correlation coefficient metrics score of 0.999, 100, and 0.999 for all the training models. Based on our model, we then conceded that AI strategies vary across nations with regards to priority, number, and amount of AI investments projects due to technology, cultural, economic, social and political differences, laws, population density, and knowledge flows.; PRACTICAL IMPLICATIONS: There exists global skepticism, fear, and discomfort on the application and use of AI due to limited knowledge of global AI strategic policies.; ORIGINALITY: Artificial intelligence (AI) is the number one technological innovation that is revolutionizing sectors of a nation’s economy. The scope and the significance of AI have attracted huge government investments. These huge investments seem like a nation’s strategy and policy towards AI, but it isn’t.

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