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        <title>Studia Universitatis Babes-Bolyai Oeconomica Feed</title>
        <link>https://sciendo.com/journal/SUBBOEC</link>
        <description>Sciendo RSS Feed for Studia Universitatis Babes-Bolyai Oeconomica</description>
        <lastBuildDate>Sun, 10 May 2026 13:19:04 GMT</lastBuildDate>
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            <title>Studia Universitatis Babes-Bolyai Oeconomica Feed</title>
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            <link>https://sciendo.com/journal/SUBBOEC</link>
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        <copyright>All rights reserved 2026, Babeș-Bolyai University</copyright>
        <item>
            <title><![CDATA[Herding behaviour under Extreme Market Conditions. New Evidence in Developed Capital Markets]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0008</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0008</guid>
            <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper aims at analyzing the presence of gregarious behavior within the main developed equity markets, namely the US, European and Asian markets, taking as proxy the absolute deviation of stock returns from markets’ (CSAD) for the companies composing the S&amp;P500, STOXX600 and NIKKEI225 indices. The period used for daily stock prices starts from 12/31/2004 to 06/30/2023. Thus, we proposed several regression versions targeting investors’ behavior in relation to market direction in various volatility scenarios starting from Chang’s (2000) analysis model. The sentiment specific side was quantified by means of the RSI index, therefore having a complete analysis of this social bias. Furthermore, using the three- and five-factor Fama-French models, we were able to delineate herding behavior as fundamental or non-fundamental depending on the information underlying investors’ decisions. In order to better isolate the phenomenon based on the sample, we used the quantile-based QREG method in addition to the OLS method. Following the synthesis of the empirical study, the results obtained emphasize the presence of the herding bias in the analyzed markets under different economic hypostases.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Role of Romanian Higher Education Institutions in Achieving the SDG 4 Targets through the Greenmetric 2023 Ranking]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0007</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0007</guid>
            <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper examines the alignment of Romanian higher education institutions with SDG 4. Using a Green Metric sustainability ranking, it explores the potential for implementing SDG 4. The study focuses on teaching and research and considers the position, scores, size, and geopolitical context of each university. The results revealed that the alignment of the ranked universities with SDG 4 is influenced by university size, sustainability policies, and resources. The originality of this research lies in conducting this type of analysis of Romanian universities’ system in terms of sustainability and evaluating its contribution to the SDGs’ broader context.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Relationship between Financial Development and Economic Growth: Empirical Evidence from 27 European Union Countries]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0011</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0011</guid>
            <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

The present study focuses on the relationship between financial development and economic expansion in the European Union (EU) countries. We compare three different periods: the years before the financial crisis, the years affected by the crisis, and the post-crisis period. Using the System Generalized Method of Moments estimator alongside Granger causality tests, the results reveal a bidirectional causality between finance and growth before the financial crisis. During and after the crisis, financial development Granger causes economic growth only unidirectionally. The strongest positive impact of financial development on growth is observed after the crisis.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Accounting Conservatism and Corporate Performance during the COVID-19 Pandemic]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0010</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0010</guid>
            <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper examines the extent to which Algerian companies practised accounting conservatism during the COVID-19 pandemic and whether this practice impacted their performance. The study included 323 observations across 65 non-financial Algerian companies from 2018 to 2022. Accounting conservatism was measured by negative (non-operating) accounting accruals, and corporate performance was measured by the return on equity. The COVID-19 pandemic period was introduced as an interactive dummy variable. The results showed increased levels of accounting conservatism during the pandemic, which negatively affected corporate performance. Additionally, leverage had a negative impact on performance during the same period, while company size had a positive effect on financial performance. Therefore, the study recommends adopting flexible accounting policies that allow adaptation to economic changes without significant impacts on performance.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Modeling the Impact of Personalized Social Media Advertisements on Online Impulse Buying Intention]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0009</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0009</guid>
            <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study aims to investigate how personalized social media advertisements influence consumers’ propensity for online impulse buying, using structural equation modeling. A quantitative research design was employed, analyzing the responses of 291 social media users in Romania through the PLS-SEM technique. The findings confirm that personalized advertising has a positive effect on perceived relevance, novelty, and advertising value, which in turn strongly influence consumers’ online impulse buying intentions through their attitudes toward the advertisement. This research offers both theoretical and practical contributions to the fields of online advertising and consumer behavior, advancing our understanding of the mechanisms through which personalized advertising shapes impulsive purchasing behavior in online environments.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Wealth Effects in the CEE Emerging Economies: A Long-Run Panel Approach]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0006</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0006</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper explores the relationship between actual individual consumption, housing wealth, and stock wealth in a panel of emerging European Union economies. Using the pooled mean group estimator (PMG) and a crisis dummy variable, the analysis captures the effects of the 2008–2010 financial crisis. Results indicate that both housing and stock wealth positively influence consumption, with housing wealth having a slightly stronger impact. Consumption is also sensitive to long-term changes in the income from wages and salaries. Particularly during the crisis, when real estate market downturns significantly affected households in Central and Eastern Europe (CEE), the effect of changes in asset prices raised in magnitude. The findings offer important policy implications for managing asset price effects on household consumption, particularly in emerging markets.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Determinants of Rent Prices: An Analysis of European Cities]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0003</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0003</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Using the data of a sample consisting of 99 cities from 37 European countries (2024) this paper discusses the determinants of rent prices. The results indicate that rents are lower in areas with longer commute times and higher cost of living index, while high wages and high house price to income ratio (HPIR) lead to increase rent prices. In this paper, we constructed the Rent Index as average of four variables relating to the rents of one-room and three-room apartments in the city centre and in the suburbs. We identify the factors that explain the variation of the Rent Index using multiple linear regression. The overall conclusions of analysed models are mixed: salary is the strongest predictor in all models, if the city is a university one, we expect an average rent increase between 105.9 and 115.81 euro compared to non-university cities. If the city has a tourist attraction, the rent price will increase on average with a sum between 114.59 and 158.61 euro; the safety index and pollution index have significant effects on Rent Index; an increase of HPIR by one unit will lead to an increase in the Rent Index with 13.6 euros per month.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Bertweetro: Pre-Trained Language Models for Romanian Social Media Content]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0005</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0005</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The introduction of Transformers, like BERT or RoBERTa, have revolutionized NLP due to their ability to better “understand” the meaning of texts. These models are created (pre-trained) in a self-supervised manner on large scale data to predict words in a sentence but can be adjusted (fine-tuned) for other specific NLP applications. Initially, these models were created using literary texts but very quickly the need to process social media content emerged. Social media texts have some problematic characteristics (they are short, informal, filled with typos, etc.) which means that a traditional BERT model will have problems when dealing with this type of input. For this reason, dedicated models need to be pre-trained on microblogging content and many such models have been developed in popular languages like English or Spanish. For under-represented languages, like Romanian, this is more difficult to achieve due to the lack of open-source resources. In this paper we present our efforts in pre-training from scratch 8 BERTweetRO models, based on RoBERTa architecture, with the help of a Romanian tweets corpus. To evaluate our models, we fine-tune them on 2 down-stream tasks, Sentiment Analysis (with 3 classes) and Topic Classification (with 26 classes), and compare them against Multilingual BERT plus a number of other popular classic and deep learning models. We include a commercial solution in this comparison and show that some BERTweetRO variants and almost all models trained on the translated data have a better accuracy than the commercial solution. Our best performing BERTweetRO variants place second after Multilingual BERT in most of our experiments, which is a good result considering that our Romanian corpus used for pre-training is relatively small, containing around 51,000 texts.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Is Accounting Education Keeping Pace with Contemporary Challenges? A Comparative Study of Publications]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0001</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0001</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study provides a comparative analysis of the accounting education literature using articles published in dedicated journals and Web of Science-indexed journals over a 28-year period (1997-2024). The paper highlights the main trends, emerging themes and geographical contributions in the context of accounting education, with a focus on adapting to the new global challenges of the post-pandemic context and the development of artificial intelligence. Through a combined quantitative and qualitative approach, the study emphasizes the importance of integrating educational technology, the development of digital competences and ethical values in the training of future professionals. The article contributes to a better understanding of developments and challenges in accounting education and provides directions for future research.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Green HRM and CSR as Antecedents of Organisation Financial Growth]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0002</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0002</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper aims to examine the impact of green HRM and corporate social responsibility on financial performance growth, measured by profit, revenue, ROA, and ROE growth. To test the hypotheses, we employed ordinary least squares (OLS) regression analysis. The findings revealed that green HRM is a significant predictor of growth indicators, including profit, ROA, and ROE. Furthermore, contrary to our expectations, the implementation of CSR practices negatively impacts the firm’s potential for economic growth. The empirical evidence shows that CSR is positively associated only with revenue growth. This study contributes to the literature by examining the debated impact of green HRM and CSR on financial performance growth while also offering valuable insights for practitioners and policymakers.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Second Axelrod Tournament: A Monte Carlo Exploration of Uncertainty About the Number of Rounds in Iterated Prisoner’s Dilemma]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2025-0004</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2025-0004</guid>
            <pubDate>Tue, 01 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Strategic decision-making in multi-agent interactions inside the Iterated Prisoner’s Dilemma (IPD) is investigated in this work using Monte Carlo simulations. Building on Axelrod’s work, we present a second-generation tournament with stochastic components, including unpredictable game lengths, to evaluate strategy adaptability and resilience. We analyze how uncertainty influences strategic performance by using a comparison between instances with fixed and uncertain times. We identify, using a descriptive approach, methods demonstrating important behavioral differences between deterministic and uncertain settings. The results provide understanding of adaptive learning, response dynamics, and strategic flexibility, so helping to build strong collaborative strategies for artificial intelligence and decision-making systems. Our results highlight the limitations of exclusively deterministic methods and suggest the necessity for adaptive approaches to improve long-term cooperative success.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Exploring the Interplay Between Digitalization, Corporate Governance, and SDG Reporting: A Pathway to Sustainable Development]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0013</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0013</guid>
            <pubDate>Wed, 22 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study explores the role of digitalization in advancing sustainable development and its potential to improve SDG reporting. It investigates how digital technologies, along with other macroeconomic factors such as governance, economic, environmental, and social factors, can enhance the quality and effectiveness of sustainability reporting across different countries. Grounded in stakeholder and resilience theory, the research employs OLS regression along with robustness and heterogeneity tests to ensure the reliability and validity of the findings. The study contributes to the literature by highlighting the interconnections between digitalization, corporate governance, and SDG reporting. It also reveals that corporate governance does moderate the relationship between digitalization and SDG reporting. The findings show that countries with higher adoption of digital technologies tend to demonstrate improved sustainability reporting, along with strong performance in environmental health, ecosystem vitality, and economic progress. However, digitalization proves to be a significant driver of SDG reporting in emerging economies but does not have the same effect in advanced countries. From a practical perspective, the study suggests that governments and organizations should prioritize digitalization strategies and governance frameworks to enhance sustainability reporting and better align with the global development goals set out in the 2030 Agenda.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[How is AI Shaping the Future of Work? Empowering Employees, Not Replacing Them]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0011</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0011</guid>
            <pubDate>Wed, 22 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

In the modern business world, AI is revolutionizing HR departments around the globe and is becoming an essential part of human resource management.
In this paper we explore the role of AI in Human Resource Management and how it can help organizations to remain competitive and efficient, while improving employee empowerment and engagement. We conducted quantitative research involving employees and HR professionals from various sectors in Romania to explore their perceptions of AI implementation in the workplace. The data explores the extent to which AI chatbots can empower employees and improve their efficiency. Additionally, we analyze employees’ perceptions regarding the possibility of being replaced by AI, offering insights into their concerns about job displacement alongside the opportunities AI presents for job enhancement.
The research findings reveal a strong positive correlation between favorable perceptions of AI and increased empowerment, while concerns about job displacement negatively affect empowerment. The study’s conclusions have significant implications for HR professionals, who can use AI tools to maximize and enhance organizational performance. Moreover, to satisfy the demands of the workforce of the future, our research also emphasizes how important it is for HR experts to integrate technology advancements into their HR strategy.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Exploring the Link Between Romanian Accounting Students’ Goal Orientations, Self-Efficacy, Test Anxiety and Performance: A Cluster Analysis Approach]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-00015</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-00015</guid>
            <pubDate>Wed, 22 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This empirical study examines the relationship between learning motivation, self-efficacy, test anxiety, and academic performance in the context of a Financial Accounting course, using Achievement Goal Theory (AGT) as a framework. A sample of 149 second-year students enrolled in the Accounting and Management Information Systems program completed a questionnaire based on the Motivated Strategies for Learning Questionnaire (MSLQ). The data were analyzed using correlation, cluster analysis, and ANCOVA. The results confirmed significant differences between four motivational profiles: mastery, performance, multiple goals, and low motivation, regarding their impact on self-efficacy, test anxiety, and performance. The findings suggest that students with multiple goals achieve better academic outcomes, emphasizing the importance of a multidimensional approach to learning motivation.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[HRM Algorithms and Value Creation Through AI in Training and Development]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0012</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0012</guid>
            <pubDate>Wed, 22 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The purpose of this research study is to investigate the effect of HRM algorithms thorough Artificial Intelligence (AI) on small and medium-sized enterprises, with a specific focus on Learning and Development processes. Based on insights shared by technical and HR managers, this study shows that AI-driven HRM algorithms provide effective mechanisms for improving the efficiency of training sessions to cater learning interests while synchronizing it with business requirements. The results also suggest that although there is concern about AI replacing human teachers and the strategy of virtual classes, the potential benefits in changing the learning and development process makes it generally positive on deploying AI. In other words, AI could bring great hope of improving education/training and yet there are some limitations.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Cultural Tightness-Looseness and Stock Market Integration]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0014</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0014</guid>
            <pubDate>Wed, 22 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study examines the relationship between Cultural Tightness-Looseness (CTL) and stock market integration, focusing on a sample of 36 markets from 2004 to 2022. The analysis demonstrates that “loose” cultures, characterized by greater social flexibility, exhibit higher levels of financial integration with the global market. This relationship remains robust after controlling for alternative cultural determinants, such as genetic distance and Hofstede’s dimensions. Additionally, the study investigates CTL’s moderating effect on the relationship between global uncertainty and stock market integration. The findings reveal that in “loose” countries, the impact of global uncertainty on integration is less pronounced, suggesting a buffering effect. The results, validated through alternative specifications and robustness tests, extend the literature by identifying CTL as a unique cultural determinant of financial integration, distinct from long-term cultural barriers like genetic distance. These insights have implications for understanding market behavior under varying cultural and uncertainty conditions.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Women in Accounting in Communist and Post-Communist Romania: Academia Case Study]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0004</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0004</guid>
            <pubDate>Tue, 05 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

We investigated whether there are differences in women’s progress in Romanian accounting academia between the communist and post-communist periods, and compared to the international context; and whether the legal framework in Romania influenced women’s accounting careers in academia. For the communist period, we found that for our topic training for the exercise of the profession, the evolution of women’s academics, although it did not exceed that of men, outperformed that of women in other contexts, especially in Anglo-Saxon countries. Then, our findings were similar to the international context for teaching and leadership in academia. For the post-communist period, we observed Romanian academics’ similitude in teaching and bachelor studies and superiority in scientific publications and doctoral studies compared to their international counterparts. Also, the complexity of provisions assuring general or women’s rights, as well as the pace of their issuance aligned with women’s experiences in accounting academia.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Human Capital Development, Income Inequality and Public Sector Investment in Nigeria]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0001</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0001</guid>
            <pubDate>Tue, 05 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

Human capital development of any country is believed to be the bedrock for sustainable economic development which seems to be linked to the level of income inequality. But there seems not to be an implied acceptance of flow of the linkage as evident from the high level of income inequality and low level of human capital development. Suspected among the causes of this is the role of the public sector. Thus, the objective of this study is to determine if there exists a dynamic feedback impact between human capital development and income inequality given public sector investment in Nigeria. The study employed the ARDL and NLARDL estimation method using data on human capital development index, income inequality, government expenditure in health and educational sector, among other variables for the period 1991-2022. Human capital development and income inequality were found to have feedback impacts. Public sector investment was found to be crucial while the existence of Kuznet’s hypothesis was established. Hence, the study strongly advocates for policy measures of pro-poor growth, reduction of unemployment, population growth and the degree of trade openness for the effective reduction in the country’s inequality gap and the development of human capital.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Impact of Inbound Marketing on Digital Consumer Behavior in Algeria]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0003</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0003</guid>
            <pubDate>Tue, 05 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

This research study aims to measure the impact of inbound marketing on digital consumer behavior. The researchers collected data from 126 participants who are customers of the startup Nrecycli. The researcher used structural equation modeling (SEM) through Smart PLS 4 software to analyze the data. The findings of this study indicated that the role played by inbound marketing processes (attraction, conversion, closure, and delight) on digital consumer behavior was strong and influential. The results also indicated a positive relationship between inbound marketing, increased consumer engagement and loyalty to the institution.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Nexus Between Investors’ Sentiment and Hedge Funds Risk Premiums]]></title>
            <link>https://sciendo.com/article/10.2478/subboec-2024-0008</link>
            <guid>https://sciendo.com/article/10.2478/subboec-2024-0008</guid>
            <pubDate>Tue, 05 Nov 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

In this study, we analyzed how the systematic risk of hedge funds affects different portfolio strategies. Using monthly returns data from a sample of developed market hedge funds grouped by five strategies, we identified the systematic factors influencing returns variation from January 2003 to December 2023. Market, size effect, momentum, investment effect, and bond spread were found to be the main risk factors explaining hedge fund returns dynamics. We proposed an enhanced version of the Fung and Hsieh (2004a) model, which demonstrated improved representativity with Baker and Wurgler sentiment index included as a risk premium. The quantile regression revealed that for most strategies, the estimated models performed better for the bottom quantiles.
]]></description>
            <category>ARTICLE</category>
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