bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Communication of Social Responsibility by Energy Companies in Romania
Authors: Miron Alina-Andrea , Ojog Silviu 
Published: July 2024

Abstract
The awareness towards global changes has increased in recent years and has created pressure for energy providers to improve not only their activity but also the way they communicate their actions, initiatives and commitments and how they report them to the general public. Recognizing this imperative, in January 2022, the European Commission proposed the Corporate Sustainability Reporting Directive (CSRD) to revise and strengthen the existing Non-Financial Reporting Directive (NFRD). With the CSRD's help, sustainability reporting is getting a significant improvement. Now, everything is more transparent and matches up better than other reports created before because it was built around transparency first. This means way less guesswork for anyone needing this information whether it is an investor trying not to worry about their next big decision, consumers, or regulatory bodies. We analyzed the top 15 entities in the electrical energy production sector in Romania, based on their turnover reports at the end of their financial activities for 2022, and we wanted to find out how they articulated and showcased their commitment to social responsibility through their websites and non-financial reports. By examining these reports closely, we uncovered layers of commitment across different sectors from ESG pillars (environmental, social, and governance) – how businesses dedicated to sustainable growth and interacted with stakeholders and by looking closely at these reports, the analysis is not only a point of reference for industry practices but also a better understanding of social responsibility in the specific context of the energy sector.
The Impact of R&D Investments on Renewable Energy Transition. A Panel Data Approach
Authors: Petre Adrian , Plesea Doru Alexandru 
Published: July 2024

Abstract
The transition to renewable energy is one of the main objectives at the level of the European Union to answer the problems related to global warming. In this context, the main objective of this study is to analyze the role of one of the drivers that can contribute to the achievement of this objective, namely research and development expenditure. Thus, based on a diversified research methodology, which includes in particular comparative analysis, descriptive analysis, and econometric analysis, we tested the role of research and development expenditure in stimulating final energy consumption from renewables and biofuels in the industrial sector using related statistical data from 13 European Union Member States between 2006 and 2022. The main results showed that research and development expenditure have a positive impact on the consumption of renewable energy in the industrial sector.
Optimization of Financial Flows with the Help of Artificial Intelligence in Public Institutions
Authors: Ifrim Daniel , Mitulescu Raluca , Parnus Alecsandra , Gheorghe Eliza 
Published: July 2024

Abstract
The only technology that is currently mature enough to help us quickly recover losses in agriculture is digital technology. Digital transformation is increasingly referred to as the fourth industrial revolution, aimed at merging the real world with the virtual one, bringing advantages even in traditional sectors such as agriculture. Artificial intelligence (AI) algorithms are used to analyze large amounts of data collected from various sources in the field, as well as from farmers or beneficiaries of European funds for agricultural sector development. Specifically, they can analyze information gathered from soil sensors, weather stations, satellite images, or European funding applications, among others. This analysis provides farmers with valuable information to make informed decisions regarding seed selection, optimal timing, planting techniques, and resource allocation decisions. At the same time, AI-powered systems can learn from historical data and identify patterns, enabling more accurate predictions and recommendations. Machine learning algorithms can anticipate managerial decisions, detect potential problems, and suggest appropriate interventions to improve financial performance for the successful implementation of projects funded by European funds.
ESG Effect on the Corporate Value of Technology Companies
Authors: Ito Satoshi , Itoi Takatomo , Năstase Marian , Nicolae Bibu 
Published: July 2024

Abstract
Since ESG investment becoming popular, many researchers investigate ESG effect on the corporate value and found positive relationship between ESG activities and the corporate value. However, there are few research which focused ESG effect on the corporate value for technology companies. In this research historical prices of Japanese ESG focused companies were compared to Japanese total market and it was concluded that ESG have positive effect on the corporate value. In addition, historical prices of Japanese ESG focused technology companies were compared to Japanese total technology companies and it was concluded that ESG have positive effect on the corporate value of technology companies. Lastly the effect on the corporate value of Japanese technology companies was compared to the effect on the corporate value of Japanese total market and it was concluded that ESG performance provide more positive effect on the corporate value of Japanese technology companies compared to Japanese total market.
Small and Medium-Sized Enterprises in Turbulent Times: Revisiting the Concept and Prospecting Its Developments
Authors: Nedef Matei-Ștefan 
Published: July 2024

Abstract
Small and Medium-sized Enterprises (SMEs) have gradually emerged as a benchmark in the national, European and global economy and have undeniably assumed a crucial role as key actors in the spectrum of corporate and organizational ecosystem. The prosperity of the SMEs sector is an integral part of a country's economic success. The ability of SMEs to successfully navigate the complexity of the current business landscape is mainly grounded in three interconnected pillars forming a comprehensive framework for their development and growth, respectively competitiveness, resilience and sustainability.
Happiness, Achievement or Money: Testing a Multidimensional Model of Success among Bulgarian Social Media Users
Authors: Sokolova Hristina 
Published: July 2024

Abstract
Some of the biggest challenges in one’s life include self-actualization and achieving success. Feeling successful in turbulent times has become more and more challenging. The goal of this paper is to introduce a multidimensional model of success and test it among a non-representative sample (N = 1063) of digital users in Bulgaria. According to the model, success beliefs are culturally specific and comprise four dimensions: happiness, achievement, material well-being, and social capital. The research method includes non-representative snowball sampling among Bulgarian social media users on Facebook and LinkedIn. A descriptive statistical analysis was used for the validation of data. The results show that participants consider themselves to be moderately successful. Respondents positively associate success with most factors, except for public influence (social capital) and material property (well-being). Digital users associate success the most with happiness and the least with social capital. They perceive success as an intangible and emotional concept, rather than a material one. The participants who feel moderately or completely unsuccessful associate success primarily with material possessions (well-being) and connections (social capital). It is suggested to continue researching this topic in a representative study among Bulgarian and even foreign citizens. The multidimensional model of success is an applicable research tool for future research in business and organizational management.
Accounting for Impacts: Exploring Sustainability Reporting in Bulgarian Companies under the CSRD
Authors: Petrova Petya 
Published: July 2024

Abstract
Sustainability reporting is a key tool for managing uncertainty because it provides transparency, accountability and reliable information on companies' environmental, social and governance (ESG) performance. By disclosing relevant data and insights, sustainability reports enable stakeholders to make informed decisions, understand companies' environmental and social impacts, and assess their long-term sustainability strategies. This paper examines the evolving landscape of corporate sustainability reporting in Bulgaria, taking into account the broader context of corporate impact assessment and impact accounting. The study begins with an introduction to the growing importance of sustainability reporting in today's business environment, emphasising the need for transparency, accountability and compliance. A review of the current literature on the subject reveals a notable trend towards increased disclosure of environmental initiatives and impacts, alongside persistent challenges such as inadequate quality and quantity of reporting, expertise gaps and inconsistencies in guidance. To address these issues, the research uses a mixed-methods approach to explore the nature of sustainability reporting, regulatory frameworks and accountability practices in Bulgarian companies. Through data analysis and interpretation of findings, the study reveals a positive trend towards greater disclosure of sustainability initiatives and impacts, albeit with significant variations in reporting quality and methodology. As Bulgarian companies prepare for the implementation of the Corporate Sustainable Reporting Directive (CSRD), the study highlights the essential need to align with evolving sustainability reporting standards to promote transparency and accountability. By addressing these challenges, companies can better meet stakeholder expectations, contribute to sustainable development goals, and build reputation and trust in the corporate sector. Finally, this paper contributes to the field of sustainability reporting by providing valuable insights into the current state of affairs in Bulgarian companies.
Analysis of the Romanian Healthcare System on the Basis of Relevant Indicators and the Perspectives for the Use of Artificial Intelligence
Authors: Boghicevici Claudia 
Published: July 2024

Abstract
Healthcare systems are integral to the well-being of societies, serving as the backbone for delivering health services and improving public health outcomes. The healthcare system in Romania is a critical component of the country's socio-economic framework, with its performance directly affecting the health and development of the population. While there have been improvements in certain areas, challenges such as underfinancing, human resource issues and inequitable access to care remain. Artificial intelligence (AI) in healthcare represents a significant shift towards more efficient, precise, and personalized medical care. It encompasses a range of applications from diagnostics to treatment recommendations, patient engagement, and administrative tasks, aiming to enhance the quality and accessibility of healthcare services.
The purpose of this study is to analyze the healthcare system in Romania using data on healthcare infrastructure (medical units), medical staff, population, hospital beds and investments. Additionally, it aims to organize ideas regarding the use and perspectives for the development of artificial intelligence in the Romanian healthcare system. A spatial distribution of indicators is created, highlighting the most significant areas in the Romanian healthcare system.
Healthcare systems are essential for providing healthcare and promoting public health. Effective health systems promote economic growth, ensure equitable access to healthcare, and respond to public health emergencies.
Analysis of the Relationship between the Size of Family Businesses and the Implementation of Marketing Activities in the Context of Slovakia
Authors: Chlpek Samuel , Čakanišin Adrián , Naďová Krošláková Monika 
Published: July 2024

Abstract
Using the Chi-square test, this study investigates the influence of size structure and marketing strategies on family businesses operating within the Slovak Republic.. Through an online survey targeting family businesses across Slovakia, we gathered data on business size and marketing strategies, categorizing them into micro, small, medium, and large enterprises. In the analysis itself, we consider the statistically significant relationship between the size category of the family business and the use of the form of marketing strategy. In Slovak family businesses, the choice of marketing strategy is significantly influenced by the company's size category, as indicated by the results of the solved problems. This indicates different decision-making processes in management, and these can be reflected in different strategic priorities and capabilities of each size category of family business in Slovakia. Focusing on the importance of size categories, our article sheds new light on the implementation of specific marketing strategies by Slovak family businesses, thereby enhancing understanding of marketing management within these enterprises.
Types of AI and Their Suitability for Performing Daily Activities
Authors: Kondort Giulia , Cioc Roxana 
Published: July 2024

Abstract
The usage of robots and artificial intelligence in the business field and in the everyday life of consumers has been a topic of discussion for a long time. While some people are fascinated by the opportunity of having robots supporting them in their daily activities, others are more hesitant. Nowadays, there are different types of robots with artificial intelligence, and consumers, depending on their preferences and needs, prefer a certain type of robot. With the help of an online survey, we found out which type of robot is most often used by the consumer and why. Among the various types of robots with artificial intelligence that were mentioned in the questionnaire, personal home assistants are the robot with artificial intelligence that consumers prefer when they want to perform an action. The second most preferred robot with artificial intelligence is the self-service portal with AI, and in third place is the personal voice assistant. The main results show that personal home assistants are robots with artificial intelligence, which is used most often by the consumer to order food, different products and to perform different activities. With the help of the results, we can also observe that consumers also use the self-service portal with AI as a navigation system or as an alarm clock. The personal voice assistant is the type of artificial intelligence robot that is least used by consumers to do something, which is again an important result.
Assessment of Emerging Risks – is the INCDPM Method, Appropriate for the Assessment of Emerging Risks?
Authors: Milea Pârvu Adriana , Cioca Lucian-Ionel 
Published: July 2024

Abstract
The rapid evolution of digital technologies has involved a series of important changes throughout society, in everyday life, but also in the evolution of organizations. Organizations' adoption of Industry 4.0 technologies has also given rise to the emergence of new and emerging risks for worker safety and health. These risks reflect the changes in the work environment driven by automation, extended connectivity and the introduction of cutting-edge technologies like the Internet of Things (IoT), data analytics, artificial intelligence, cloud computing and others into the organization's processes. In order to minimize the impact of these digital technologies on workers, it is essential to carry out the procedure of identifying and assessing potential occupational risks before the implementation /introduction of new digital technologies. Identifying risks, clarifying their nature in detail, identifying potential impact and likelihood of materialization, is an essential process for identifying and effectively implementing risk response strategies, ensuring that organizations manage risks in an adaptive and strategic way. Several tools, methods and work methodologies are available to identify, analyze and assess occupational injury and disease risks to which workers are exposed. The purpose of this study is to carry out a careful analysis of the method for assessing the risks of occupational injury and illness elaborated by the National Research and Development Institute for Labor Protection "Alexandru Darabonț" from Bucharest, Romania - to identify the limitations and disadvantages of the method, for determine whether it is appropriate for assessing new, emerging risks linked to recently introduced processes and technologies in the context of organizations' integration of digital technologies.
The Role of AI in Content Development among Romanian Small Businesses
Authors: Tulbure Adriana , Popescu Anca , NeacȘu Nicoleta Andreea 
Published: July 2024

Abstract
Small businesses can use content marketing to create and provide information that is both interesting and valuable for potential customers. Moreover, the benefits it brings include the cultivation of brand loyalty, a way to differentiate from competitors, stimulating sales while cultivating emotional connections, and delivering targeted messages. Particularly for small companies, content marketing represents a way to reach a target market and grow in a sustainable rhythm. The article explores the role of artificial intelligence (AI) in creating content for Romanian small businesses. The research focused on identifying the types of AI tools used and the challenges and benefits of adopting AI for content development. A quantitative market research was performed among a sample of Romanian small businesses to identify opinions and practices regarding AI tools. The findings show that there is a significant adoption rate of AI tools, which positively impacts content production efficiency. Despite the challenges of initial investment costs and the steep learning curve, the strategic integration of AI has notably enhanced operational efficiencies and competitive positioning in the digital market. The research contributes to a better understanding of the effects brought by AI usage on content development, underlining the need for investing in technology in order to grow and remain relevant in the market.
Performance Evaluation in Higher Education – A Comparative Approach
Authors: Dima Alina Mihaela , Argatu Ruxandra , Rădoi Mireille 
Published: July 2024

Abstract
Higher education stands as an essential base point in the current knowledge societies, shaping the way to sustainable growth and enhanced life quality. Literature recognizes higher education institutions as powerhouses which, through their own capabilities and partnerships, can champion innovation in a transformative way. Being widely praised for the transformative output they generate through the conducted operations, literature notes that when the educational process is defined by an outstanding quality and performance, multiple benefits arise for all the stakeholders involved. However, since quality and performance are very nuanced and volatile concepts, ensuring them in higher education necessitates a good understanding of the educational ecosystem as well as its ongoing monitoring. To encourage this aim, the selection of proper key performance indicators and the consistent implementation of performance appraisal actions have to be enacted so the end beneficiaries of the educational process and other stakeholders are provided maximal quality. As performance evaluation can be deployed by considering various indicators, higher education institutions need to carefully design, apply its steps and run follow-up actions to determine what is still to be improved.
Economic Impact and Adaptive Responses in the Global Hotel Industry During the COVID-19 Pandemic: A Comparative Analysis
Authors: Gáll Jozef , Chlpek Samuel , Frasch Alexander 
Published: July 2024

Abstract
The COVID-19 pandemic has become a challenge of unprecedented scale for various industries, and the hotel industry has not escaped the waves of economic uncertainty. Economic indicators in the hotel industry, which once reflected growth and prosperity, abruptly turned into indicators of crisis and the need for adaptation. The main aim of the presented article is the evaluation, categorization, and comparison of hotel-type accommodation facilities in selected countries based on their economic indicators in the pandemic period. Comparison and categorization of countries will be carried out using a multivariate statistical method – cluster analysis. All investigated indicators were obtained by the method of sociological inquiry in the form of a questionnaire. The application of cluster analysis identified the economic importance and potential in the countries in question using the investigated economic indicators in the hotel industry. The results showed a significant economic difference between the countries. The analysis divided the requested countries into five clusters – categories from the lowest (Turkey) to the highest impact of the COVID-19 pandemic on the economic situation in the hotel industry (Slovak Republic). Since the prevention of crises in the hotel industry is a key aspect that can minimize negative consequences and ensure the sustainability of operations, at the end of the presented article we have outlined the measures that accommodation establishments should apply in their normal practice.
How Green Are Romania’s Motorways? An Analysis of the Impact Avoidance and Mitigation Measures Proposed for Motorway Projects in Romania
Authors: Borlea Silvia 
Published: July 2024

Abstract
The development of infrastructure, particularly motorway infrastructure has been one of the main goals of Romania after 1990. However, the sustainable development of this type of infrastructure has only become an issue in the last few years. In this paper are presented the results of a literature review and analysis of the environmental impact mitigation measures which were proposed for motorway and express road projects in Romania within their Environmental Impact Assessments. The paper analyses whether appropriate measures have been proposed in the Environmental Impact Assessment Reports and how consistently they were proposed in different EIAs done in Romania. It analyses how much the measures proposed address impacts such as habitat loss, habitat alteration, fragmentation, species disturbance, and mortality
So far, there is no known analysis on this topic Romania, although these types of projects have been implemented for many years. The hypothesis for this analysis is that the measures proposed for motorway and express road projects are not completely adequate for addressing identified impacts and that they are not in accordance with best practices.
The results of the analysis indicate important gaps in the implementation of measures, particularly in regards to maintenance of ecological connectivity, as a response to potential fragmentation, and light pollution mitigation. It also highlights the lack of available data on the effectiveness of implemented mitigation measures, indicating the need for rigorous post-implementation monitoring and assessment of effectiveness. The paper proposes a more comprehensive and consistent approach to environmental impact mitigation in infrastructure projects, and for the public availability of post-implementation evaluation results.