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        <title>Croatian Regional Development Journal Feed</title>
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            <title><![CDATA[Trends within Sustainability in Food Loss and Waste in EU27 Countries]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0003</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[One third of today’s global food production ends up uneaten. In the European Union, more than 100 kilograms of food waste per capita are generated annually across retail, food services, and households. In addition to being unethical, wasting food is environmentally harmful and economically irrational. Reducing food waste would significantly contribute to protecting and more rationally using rare natural resources (water, land, forests) in agricultural production, lowering waste and related greenhouse gas emissions, and supporting a successful transition to organic agriculture and the restoration of biodiversity. Better utilisation of produced food would lower production costs and stabilise food prices, while also strengthening the population’s food security and reducing nutrition costs. The purpose of the paper is to critically review the progress (or lack thereof) made by the European Union and its Member States, tracked for the period from 2020 to 2022, according to available relevant data and sources, such as food waste per capita, food waste sector of activities and consumption footprint per inhabitant. We provide recommendations on technological, organisational, managerial, and social value changes to achieve more sustainable food waste management.]]></description>
            <category>ARTICLE</category>
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            <title><![CDATA[Organizational Resilience in the Digital Age: Business Continuity Management Practices Across Croatian Public and Private Sectors]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2026-0005</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Digital transformation is reshaping organizational risk and exposing gaps in business continuity management (BCM). This paper presents a mixed-methods study of 80 private and public Croatian organizations conducted from March to July 2025. Using questionnaires and interviews with 16 senior managers, it examines BCM maturity and sector differences. The key finding is clear: 58% of private organizations have fully implemented BCM, compared with 32% in the public sector. Private firms adopt BCM changes 43% faster and use cloud backup and automation about twice as often. Organizations that integrate digital technology into BCM achieve 40% stronger crisis response. COVID-19 marked a turning point, with three-quarters of organizations expanding BCM after 2020. The study highlights top management support and regular stress testing as the strongest predictors of success within Croatia’s evolving EU regulatory environment, including the NIS2 Directive.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Audit Quality in the Context of Audit Reform Across the European Union: The Case of Croatia]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2026-0004</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[This research analyzes if the audit reform in the Republic of Croatia, which was a part of the legislative audit reform across the European Union, contributed to audit quality measured with one of its most objective proxies – audit adjustments. Croatian unique financial statement report disclosure environment enables the utilisation of this measure. The research sample included the financial data that companies listed on the Zagreb Stock Exchange have publicly disclosed during the financial years from 2016 to 2019. Panel regression was used to formulate the research model. The results have confirmed that the earnings audit adjustments were higher on average after the implementation of the new Audit Act in the Republic of Croatia. Unlike the claims in most of the existing studies, these results indicate the overall effectiveness of the multidimensional audit reform in terms of auditors’ efforts to increase the reliability of financial statements. These results provide valuable insights for legislators and professional organisations in the context of future audit regulation reforms.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[A Knowledge Discovery in Databases Approach to Analyse Digital Financial Activities in the European Union Countries]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2026-0002</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[The digital transformation of the financial sector is reshaping how residents of European Union countries use financial services. This paper examines online financial activities using knowledge discovery in databases methods, with particular emphasis on Internet banking and online financial services. The analysis is based on Eurostat data and employs cluster analysis and regression analysis to identify behavioural patterns and cross-country differences among European states. The findings reveal substantial disparities across European Union countries. More digitally advanced countries record higher levels of use of online financial services, whereas others continue to progress at a slower pace. The analysis confirms the pivotal role of modern information and communication technologies in developing innovative digital financial solutions. The conclusions highlight digital literacy, user trust and the regulatory framework as key determinants of the continued development of financial services in the European Union.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[How Do Music Festivals Impact the Local Community’s Quality of Life? A Case Study of Tisno, Croatia]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2026-0001</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[With the rapid increase in global tourist flows, environmental pressure on local communities is rising, while the quality of social interaction and overall quality of life are generally deteriorating. This is particularly evident in destinations hosting music festivals, as the intensity of these events on the local economy, environment, and social interactions is usually considerable and has recently been reported as predominantly negative. Consequently, the expected outcomes of tourism development often fall short of expectations. This study aims to examine the local community’s perceptions of the impact of music festival-dependent tourism development on their quality of life. The primary research was conducted in Tisno (Croatia) using the snowball sampling method. In total, 75 valid responses were collected, providing only a preliminary insight into the research topic. The results indicate that although respondents recognise both the positive and negative impacts of music festivals on their quality of life, they have a predominantly positive attitude towards tourism development in their community. The reasons for this attitude most likely lie in the degree of the local community’s dependence on tourism income, with greater dependence outweighing the negative social impacts.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Heterogeneity in Personal Innovativeness: Evidence from a Cluster Analysis]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2026-0006</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Individual readiness to engage with innovation represents an important component of broader economic and development processes. This study examines the structure and heterogeneity of personal innovativeness in the Croatian context using survey data collected from 400 respondents. A 20-item instrument capturing both pro-innovative behaviours and resistance to innovation was analysed using principal component analysis, which revealed a stable two-dimensional structure distinguishing proactive innovativeness and attitudinal openness to innovation. Based on these dimensions, cluster analysis identified three distinct profiles of individuals: High Innovators, Cautious Adopters, and Moderate Individuals. The results indicate that personal innovativeness is not uniformly distributed but organised into clearly differentiated behavioural segments. Further analysis shows statistically significant differences across clusters in education, age, and gender, with higher levels of innovativeness associated with higher educational attainment and younger age groups. The findings suggest that individual-level innovation potential is embedded in the socio-demographic structure, with implications for the design of development-oriented policies and organisational practices to foster innovation in Croatia.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Comparing Crobex Network Structures Under Different Correlation Filtering Methods]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0010</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Financial markets are complex systems, and one way to better understand them is to examine how different stocks are connected. This study examines how various methods for filtering correlations between stock returns can influence the structure of financial networks. For the Croatian stock market, three popular filtering approaches are compared: p-value thresholding based on partial correlations, False Discovery Rate (FDR) correction, and shrinkage estimation. Two very different time periods are examined: the 2008 financial crisis and a calmer market phase in 2023. To avoid noise from overall market movements, the common market component is removed and the focus is on residual, or idiosyncratic, returns. This helps reveal more specific connections, less driven by broad trends. The results show that filtering choices matter a great deal: the p-value method does the best job at highlighting meaningful changes between the two periods, showing stronger clustering and structure during the crisis. Shrinkage filtering, on the other hand, often produces dense but harder-to-interpret networks, whereas FDR tends to be overly cautious, especially in smaller markets. These insights are valuable for researchers and practitioners trying to use network analysis to track market behaviour, stress, or structural change over time.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Electronic Violence among Croatian Youth: Prevalence, Regional Patterns and Prevention through Family– School Partnership]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0011</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[In the context of rapid technological advancement, electronic violence – particularly cyberbullying – has become an increasingly pressing issue among children and adolescents. This review examines the prevalence and impact of cyberbullying by synthesizing findings from scientific literature and empirical studies, with a focus on the emotional and social consequences for victims. The analysis underscores the pivotal role of families and schools as protective environments, highlighting the responsibilities of teachers and professional staff in supporting vulnerable student populations. Regional disparities in prevention strategies are evident, with countries such as Croatia facing significant challenges due to limited institutional support and insufficient digital education. Socioeconomic factors further shape exposure to cyberbullying, emphasizing the need for targeted, context-sensitive interventions. The paper advocates policy measures, including the establishment of regional CERT teams, increased school funding, and curricular reforms to enhance digital literacy and promote safe online behaviour. These recommendations seek to foster inclusive school cultures and strengthen systemic responses to electronic violence, thereby contributing to regional development and youth well-being.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Strategic Approaches to Cybersecurity: The Role of the Security Operations Center]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0007</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[The Security Operations Center (SOC) plays a crucial role in protecting organizations from a wide range of cyber threats, ensuring security, integrity, and business continuity. In today’s digital environment, where cyberattacks pose a daily threat, the SOC serves as a centralized hub for monitoring, analyzing, and promptly responding to security incidents. By integrating the latest technologies, highly trained experts, and well-defined operational processes, the SOC identifies threats, significantly reduces risk, and prevents potential security incidents. As cyber threats become increasingly sophisticated and destructive, this paper aims to raise awareness of the dangers these attacks pose, analyze their potential impact on business operations, and explore strategies for mitigating risk. It provides an in-depth examination of various strategic approaches to cybersecurity defense, with a particular focus on the SOC’s role and effectiveness in reducing security risks. Additionally, it analyses the key processes and technologies that form the backbone of an effective SOC, how SOC enhances incident response, and how best practices for risk reduction are applied in practice. The research is based on years of personal experience working in a SOC, as well as a comprehensive review of recent scientific studies, industry reports, and case studies that offer insight into the latest approaches and tools in cybersecurity.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Assessing Factors Influencing Cassava Yield in Salayea, Liberia: A Study Using the Analytical Hierarchy Process]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0009</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[This study examines the factors influencing cassava yield among farmers in Salayea, Lofa County, Liberia. As cassava is a vital staple in Liberia, providing food security and economic benefits, understanding the decline in its productivity is paramount. This research employs the Analytical Hierarchy Process (AHP) to assess three main themes: Climate and Temporal Factors, Production and Yield Factors, and Financial and Economic Factors. Data were collected from 60 cassava farmers through surveys, which were then analyzed to determine the relative importance of various sub-factors within these themes. The findings revealed that Financial and Economic Factors, particularly access to loans and low soil fertility, had the most significant impact on cassava yields. In contrast, Climate and Temporal Factors, such as rising temperatures, increased soil acidity, late planting, as well as production and yield factors, including damage caused by livestock and Improper spacing, were ranked lowest overall. This research provides policymakers, development organizations, and agricultural institutions with valuable insights to enhance cassava productivity.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Informational Value of Technical Indicators in Forecasting Quoted Prices of a Government Bond: A Machine Learning Approach]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0012</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[In the context of increasing electronification and transparency in the secondary market for euro area government bonds, this study examines the informational value of technical indicators in predicting intraday quoted prices of the 10-year German government bond. Using a feedforward neural network based on 13 input datasets and two output variables, the paper aims to identify the technical indicators that contribute most to the model’s predictive accuracy and efficiency under less-volatile market conditions. The results show that trend indicators, such as moving average convergence/divergence (MACD) and weighted moving average (WMA), and relative strength index (RSI), as the only momentum indicator among the remaining observed ones, allow the models to achieve lower forecast errors than those obtained with the input variable set that does not include technical indicators. On the other hand, Bollinger Bands (BB), as a volatility indicator, result in the worst predictive performance. The findings of the study extend the use of technical analysis beyond stock markets, where these indicators were initially developed, and enable the development of more efficient forecasting models in the government bond market.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Application of NLP Technologies to Low-Resource Croatian Dialects]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0008</link>
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            <pubDate>Sun, 26 Apr 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[In natural language processing (NLP) systems, a trend of decreased performance is observed when applied to texts written in low-resource dialects rather than the standard language. Dependency parsing is an essential component in NLP systems, and therefore, its improvement could lead to enhanced overall system performance. This paper aims to compare the performance of Slovenian and Croatian parsers for dependency parsing of the Kajkavian dialect. The comparison results will provide insight into the Slovenian parser’s potential for parsing Kajkavian. A dependency parsing dataset was created using parallel translations of the book „Mali kraljević“. Based on the created dataset, label projection from the parsed standard Croatian language to the Kajkavian dialect was performed to obtain data for calculating UAS and LAS metrics for comparing the Croatian and Slovenian parsers, which were implemented using the open-source SpaCy library. The Croatian parser achieved UAS and LAS scores of 0.47 and 0.30, respectively, which are lower than those of the Slovenian parser (0.52 and 0.34, respectively). The results indicate that the Slovenian parser performs more accurately on the Kajkavian dialect. However, to draw a general conclusion, the dataset would need to be expanded.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Demand for Aesthetic Medical Procedures among University Students in the Republic of Croatia: Implications for Marketing]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0002</link>
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            <pubDate>Thu, 03 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The increasing demand for aesthetic medical procedures among younger generations has transformed the market. This study investigates preferences, barriers, and decision-making factors among university students in Croatia, using different research tools, among which is the standardized Acceptance of Cosmetic Surgery Scale (ACSS). A total of 1,313 respondents, primarily aged 20–25, participated in the research. Results reveal significant gender differences: Women are more inclined toward aesthetic procedures driven by psychological motivators such as self-esteem and societal beauty ideals, favoring treatments like rhinoplasty, lip augmentation, and Botox. Men, on the other hand, prioritize functionality-oriented procedures, including hair transplantation and dental veneers. Barriers such as cost, fear of unsuccessful outcomes, and potential side effects were of particular significance. At the same time, trust in the doctor, the clinic’s reputation, and expertise were the most influential factors in decision-making. Besides direct contact with doctors, digital platforms, including social media and clinic websites, were preferred sources of information. These findings highlight the importance of gender-specific marketing strategies, transparency, and flexible financial options to address identified barriers. Leveraging cultural norms, building trust through online engagement, and emphasizing minimally invasive procedures are essential for connecting with this demographic. The study offers actionable marketing insights for aesthetic clinics aiming to attract and retain young clients in a highly competitive Croatian market.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Instrument Classification in Musical Audio Signals using Deep Learning]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0006</link>
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            <pubDate>Thu, 03 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The intersection of artificial intelligence and music technology is creating new possibilities for cultural preservation and innovation. This study aims to utilise this technology by optimising deep learning models for accurate instrument classification, thereby contributing to advancements in music recognition, database organisation, and educational transcription tasks. Using the IRMAS dataset, we evaluated several neural network architectures, including DenseNet121, ResNet-50, and ConvNeXt, trained on log-Mel spectrograms of segmented audio clips to capture the unique acoustic features of each instrument. Results indicate that DenseNet121 achieved the highest classification accuracy, with notable performance in precision, recall, and F1-score compared to other models. However, challenges were observed in recognising instruments with fewer training samples, like the clarinet and cello, underscoring the importance of balanced datasets. While data augmentation techniques only partially addressed class imbalance, the findings offer valuable insights into designing robust music processing systems, highlighting areas for improvement in feature extraction and data handling. This study contributes to the development of AI-driven tools in music, offering potential benefits for cultural and educational growth.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Unemployment in Croatia: Trends and Challenges in the Digital Age (2010-2024)]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0001</link>
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            <pubDate>Thu, 03 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[This paper investigates the trend of unemployment in the Republic of Croatia during the period from 2010 to 2024, using econometric methods of time series analysis. By applying linear trend models and second-degree trend-polynomials, the research quantifies the tendency of decreasing the number of unemployed, while simultaneously identifying oscillatory movements within the observed period. Data analysis shows that the peak of unemployment was recorded in 2013, followed by a significant decline, which is reflected both in absolute values and in structural changes in the shares of unemployed by gender and age. In addition to quantitative analysis, the paper looks at the challenges of the digital era and the transition to Industry 5.0, emphasizing the need for managing organizational changes and adapting the education system. This transformation places new demands on the workforce, which is reflected in the need for lifelong learning, retraining and the development of digital competencies, especially in the context of the application of artificial intelligence. This indicates a two-way impact - on the one hand, technological progress can result in the loss of traditional jobs, while on the other hand, it opens up opportunities for the creation of new, better jobs.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Modern Challenges in Women’s Entrepreneurship: Social and Structural Barriers in Croatia]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0004</link>
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            <pubDate>Thu, 03 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[There is hardly anyone who would be willing to dispute the claim that women are still unequal in the distribution of family wealth, work, unequal wages and unequal access to positions, decision-making and power. Without examining the specific position of women in society, it is impossible to disentangle the structural causes that lead to this social group working harder, having more difficult access to wealth, reputation, and power. Newest theories and research help us understand the structural causes, as well as sociological and various feminist theories that analyse the status and position of women in society, considering them as indicators of systematic and persistent discrimination and unequal opportunities for women in accessing positions of power and decision-making. The purpose of this paper is to show the entrepreneurial activity of women in Croatia. Furthermore, the paper examines the social norms and practices that influence the distribution of jobs between women and men.]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Impact of Disruptive Innovations on Corporate Strategies]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2025-0005</link>
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            <pubDate>Thu, 03 Jul 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[One of the key contributing factors to the disappearance of more than half of the corporations listed in the Fortune 500 was the failure of many corporations to respond in a timely manner to dynamic changes in the global market, where innovative strategic action and proactive positioning play a crucial role in maintaining a competitive advantage. This challenge is particularly evident in the context of disruptive innovations, which, due to their inherent nature, often go unnoticed by large corporations, posing significant risks to their market positioning. This paper examines the intensity and impact of disruptive innovations on the operations of incumbent corporations and analyzes how effectively these organizations respond to the challenges posed by disruptive innovation. In addition to presenting a typology of disruptive innovations, the study analytically examines their impact on corporate strategies, with a particular focus on the principles of open innovation. The findings, presented as a critical reinterpretation and theoretical synthesis, suggest that there is no universal prescriptive strategy for overcoming the effects of disruptive innovations. Incumbent organizations often rely on standardized best practices adopted from other corporations in their innovation processes, which do not necessarily lead to desired outcomes. This paper contributes to a deeper understanding of the phenomenon of disruptive innovation. It provides valuable insights for both theoretical exploration and practical application, particularly in the domain of corporate strategies at national and regional levels.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Implementation of physiotherapeutic methods utilizing forces and pressures]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2024-0007</link>
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            <pubDate>Sat, 23 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The field of physics, particularly medical physics, plays a crucial role in physiotherapy and medicine in general. Forces and pressures are crucial factors that physiotherapists and other healthcare professionals consider when treating patients. In physiotherapy, these forces can aid rehabilitation and pose challenges. This paper explains the principles of manual muscle testing (MMT) and its relation to physics, specifically the use of gravitational force to assess the muscle condition of patients. It also explores the effects of physics on the human body, focusing on fluid circulation and the musculoskeletal system. Additionally, the paper discusses how forces and pressures are integrated into therapeutic exercises while comparing concentric and eccentric movements. The role of buoyancy, hydrostatic pressure, and water viscosity in hydrotherapy is also covered, as well as the use of electromagnetism in specific therapies, such as electrotherapy, magnetotherapy, and laser treatments. The paper aims to highlight the significant impact of physics on cardiopulmonary functions and to raise awareness among physiotherapists and healthcare professionals about the importance of understanding the role of physics in medical interventions. Educating patients about the effect of applied forces and pressures on therapy outcomes is also a topic addressed, which can ultimately help them perform movements correctly and maintain proper posture.]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Adapting to the Digital Shift: Skills Development and Workplace Transformation in the Era of Human-Technology Collaboration]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2024-0010</link>
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            <pubDate>Sat, 23 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The explosion of data and its handling has reshaped business priorities and changed conventional decision-making methods. Organisations need to think about how to successfully redesign jobs and ways of working as a fusion, not a compromise, between people and technology to increase the leverage of technology. People and technologies have become intensive collaborators. Analytical thinking is becoming the most sought-after skill, along with creative thinking and other cognitive skills. Openness, flexibility, and agility, along with a high level of motivation and self-awareness, as well as the desire for lifelong learning, are personal characteristics that distinguish a desirable employee. This paper aims to identify the changes that have occurred because of the digitisation of workplaces and the consequent development of skills as the basis of good and quality work. The scientific contribution of this paper is to methodologically explain the changes caused by digitisation and point out the development factors. The methodological paper describes research on the education and investment of human potential skills in a domestic and foreign sample of surveyed Croatian migrants. This research concludes that the respondents believe that everyone individually deserves the most for the development of human potential and that they are not ready to invest in the development of their skills.]]></description>
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            <title><![CDATA[Economic Theory and Artificial Intelligence: A Cross-model Perspective on Labour Market Dynamics]]></title>
            <link>https://reference-global.com/article/10.2478/crdj-2024-0008</link>
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            <pubDate>Sat, 23 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[This study examines the relationship between labour market changes and artificial intelligence, utilising Romer’s Endogenous growth theory, Schumpeter’s Creative destruction, Solow’s Growth model and Becker’s Human capital theory as theoretical frameworks. The purpose of this research is to clarify the multifaceted impacts of artificial intelligence on economic growth, workforce adjustment and the emergence of novel employment trends, focusing specifically on job losses and gains, wage inequalities, and changing skill requirements. Using a structured literature review methodology, the economic implications of artificial intelligence in the labour market were systematically analysed and synthesised. The results suggest that although artificial intelligence significantly enhances productivity and innovation, it has a complex effect on the labour market, causing employment gains in technologically sophisticated industries and losses in sectors prone to automation. The study emphasises strategic policy interventions and pedagogical reforms that maximise the economic benefits of AI while minimising its disruptive effects on employment. Proponents of such policies argue that by cultivating a workforce that is resilient and capable of adjusting to changes driven by artificial intelligence, they can effectively mitigate inequality and safeguard economic stability.]]></description>
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