bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Energy Security of the Republic of Moldova Concerning the Policies Adopted by the European Union – A Multi-Facetted and Complex Topic
Authors: Ion Iulian , Dincă Violeta Mihaela 
Published: July 2024

Abstract
The new geopolitical dynamic has brought a series of energy security transformations in the Central and Eastern European region. The Republic of Moldova, located at the confluence of the pro-European, western, and Eastern trends, has started a series of efforts, visible on the stage of international relations, to acquire as many degrees of freedom as possible in the energy sector, limiting the effects of Russian pressures and encouraging the adoption of democratic policies. The state is a candidate for accession to the European Union, in which sense the present work aims, on the one hand, to simulate the application of the conditions of European forums in the energy field on the Moldovan market, as well as to x-ray the energy policy at the local level. The applied methodology, mostly qualitative, was based on the analysis of some documents with a European normative character, simulating the application of their provisions in the case of the Republic of Moldova. Punctually, through quantitative methods, with the use of secondary data, certain limits were determined regarding the amounts of energy resources that the Republic of Moldova should fall within to comply with European legislation. The conclusions of the paper demonstrated the pro-Western conduct of the Republic of Moldova in the energy segment in the period 2022-2023 and the state's ability to synchronize its legislation with the European one.
Risks Assessments for the Quality Assurance Process in HEIs
Authors: Țucă Petrișor Laurențiu , Deselnicu Dana Corina , Simion Petronela Cristina 
Published: July 2024

Abstract
The article examines the risks associated with the quality assurance process in higher education, focusing on various aspects that can affect the effectiveness, integrity and evolution of this process. Through the detailed analysis of the listed risks, from chaotic changes in legislation to the lack of specialized human resources and the decrease in the quality of external evaluation reports, the article explores how these aspects can influence the quality of university education and the strategic decisions of higher education institutions. Methods by which universities can manage and minimize these risks are also presented, emphasizing the need to implement proactive risk management strategies and strengthen institutional capacity to respond to the changing challenges of the educational environment. The article highlights the importance of addressing risks and opportunities in the quality assurance process, with a particular focus on the digitization of quality assurance processes as an opportunity for continuous improvement. In addition, it identifies ten risks relevant to the quality assurance process in a university, classifying them according to their consequences and evaluating them by the risk index method, for better evaluation using the risk matrix. The article emphasizes the fact that, by systematically approaching risks and opportunities and promoting the exchange of good practices between universities, it is possible to contribute to strengthening the quality of university education throughout the country, effectively responding to the ever-changing requirements of education and contributing to the development of society.
Triadic Models as a Complex Model: Technology-Entrepreneurship-Art of Film
Authors: Zăvoianu Adrian , Scarlat Cezar 
Published: July 2024

Abstract
The triadic models share interesting features as well as deeper investigation potential. The relationships between triad’s elements are not only conceptual but operational as well. Three examples are given, as the fourth case is further analysed in depth.
The paper aims to reveal the research potential of triadic models by examining the triad Technology-Entrepreneurship-Art of Film at the conceptual level. The analysis potential of triadic models is emphasized, by systematic investigation of the two-by-two inter-relationships, in a triple S holistic approach (synthetic, systemic, and synergic).
This paper focus is on the last triad case (technology-entrepreneurship-art of film) – which is both a novel approach and new integrative analysis. Trying to bridge the literature gap, the authors propose a discussion exploring the possible inter-links between the three elements of the triad.
Trying to bridge the literature gap, the authors propose a discussion exploring the possible inter-links between the three elements of the triad. The results of this endeavour are twofold encouraging: (i) by underlying the investigation potential of triadic models, in general, and (in particular) the potential of the triadic model technology-entrepreneurship-art of film; and (ii) by implications for business managers, in general, and (in this particular case), for company managers while making strategic decisions, considering criteria linked to different business sectors and resources.
Opening a discussion on triad-type models is worthy – as the above examples (selected from diverse business areas) demonstrate a solid research potential, bringing up new notions (as technopreneurship, technowledgepreneurship, triple S holistic approach) or deepening the study of existing concepts.
This study of the triad of technology – entrepreneurship – art of film, as an explorative essay, has its inherent limitations. The most serious one is the integrated approach of the triad’s elements – which is also opening further research paths.
MSME Businesses Performance: Examining the Impact of Digital and Technological Capabilities using Partial Least Squares Structural Equation Modeling and Necessary Condition Analysis
Authors: Veiga Pedro Mota 
Published: July 2024

Abstract
This research aims to research the effects of innovation, as well as digital and technological capabilities, on the performance of micro, small and medium enterprises (MSME) in Portugal post the initial wave of the COVID-19 pandemic. Leveraging longitudinal data from the 2019 World Bank business surveys and the subsequent 2020 World Bank Covid-19 follow-up business surveys, encompassing a sample of 605 MSME, we delve into the relationships between these variables. We examine the impact of innovation and digital and technological capabilities on performance from two distinct perspectives: one based on necessity and the other on sufficiency. Our analytical approach combines the utilization of partial least squares structural equation modeling (PLS-SEM) with necessary condition analysis (NCA). The findings of our study unequivocally indicate that both technological capabilities and digital capabilities exert a positive influence on MSME performance. Additionally, it is noteworthy that innovation indirectly enhances performance by way of its impact on digital capabilities.
Navigating the Regulatory Labyrinth: Compliance Dilemmas and Lead User Innovation in the Fintech Sector
Authors: Otieno Geoffrey , Kiraka Ruth 
Published: July 2024

Abstract
This research article deals with the lead user innovation difficulties in the Kenyan financial technology sector, specifying the regulatory compliance challenges. The flourishing of fintech firms in diverse aspects and sectors have faced numerous dilemmas, particularly in intellectual property, privacy and consumer safety regulations which may lead to lack of adherence. The consequences of non-compliance can be severe, including legal penalties and reputational damage. Despite the importance of innovation in fintech companies, the dilemmas innovators face in navigating regulatory compliance is not yet fully investigated. This research adopts and employs a sequential mixed-method approach that allows complex connection of lead users and regulators in terms of compliance. Survey data from 321 lead users and in-depth interviews with 36 lead users and five regulators revealed a range of compliance challenges. Intellectual property laws scored the least adherence, with the plethora of regulations and overseeing bodies contributing to increased non-compliance. The outcomes highlight the pressing compliance issues faced by lead users and underscore the potential of regulatory bodies to bolster adherence. The outcomes indicate the need for a different approach to regulatory compliance by lead users. This paper underscores the necessity of cooperative engagement between innovators and regulators to effectively maneuver through the dynamic compliance landscape of the financial technology industry.
Assessment of the Link between CO2 $emissions and Socio-Economic Indicators
Authors: Nimerenco Ina , Leoveanu Soare Bianca Eugenia , Zanescu Panait Daniela 
Published: July 2024

Abstract
This article examines the intricate relationships between carbon dioxide (CO2) emissions and key socio-economic indicators across various sectors. Utilizing different statistic methods, we scrutinize the interdependencies between air emissions and indicators such as Gross Domestic Product (GDP), education, life expectancy, pesticide use, recycling rates, agricultural production, net income, and tourism. Our analysis reveals a complex panorama where economic growth, indicated by GDP, agricultural output, and tourism, exhibits a strong positive correlation with CO2 emissions, suggesting that economic activity is a significant driver of environmental impact. Intriguingly, life expectancy also correlates positively with emissions, potentially reflecting the dual facets of industrial development, which, while boosting living standards and healthcare, concurrently increases environmental burdens. Conversely, educational attainment shows a negligible correlation, hinting at the potential for decoupling intellectual capital from carbon output. Through a robust statistical approach, this study underscores the multifaceted linkages between emissions and socio-economic health, highlighting areas for policy intervention and sustainable development strategies to balance economic advancement with environmental stewardship.
Empirical Analysis of the Effects of International Labor Migration in EU-27 Countries
Authors: Grecu Irina-Maria , Noja Gratiela Georgiana 
Published: July 2024

Abstract
This research aims to provide a critical and comparative analysis of the effects induced by international labor migration in Europe, focusing on specific features and key factors that influence and shape the migration process in the context of the COVID-19 pandemic and geopolitical uncertainty. For conducting a comprehensive study on international labor migration among the member states of the European Union (EU-27), a cross-sectional database of specific migration, labor market, and economic welfare indicators was compiled at the level of 2021. These indicators were subjected to advanced econometric modeling embedding spatial and network analyses processed with the Stata 16 package and the JASP platform to obtain robust and valid results. Main findings of this study provide valuable insights into the evolution and impact of international labor migration, particularly in Romania and the European Union at large. This study serves as a benchmark for future migration strategies by exemplifying the specific characteristics of employees and jobs that will be required in the coming years, while also focusing on identifying the key skills and requirements of both native and migrant employees. Future trends are being analyzed by identifying the characteristics of the modern employee and the professions that will dominate the labor market in the coming years. This will help policymakers appraise migrants’ ability to secure employment in an ever-changing labor market.
"Digitalization and Coaching for the Pre-University Education"
Authors: Gaspar Florentina 
Published: July 2024

Abstract
Education in pre-university education, once with the COVID-19 pandemic, can no longer be done only in the classic system, because the impact that digitization had during the pandemic on the didactic process was a major one, there was practically a reset of the way of teaching- learning-evaluation. The current work addresses a highly relevant and important topic: digitization in pre-university education, more specifically in pre-university education in Bucharest, emphasizing coaching for teachers to acquire digital skills. The research carried out consists in the application of a questionnaire, on a representative sample made up of the directors of pre-university education units in Bucharest regarding how important, timely and necessary this process of digitization is, how digital skills can be acquired by teachers, and what are the methods, its resources and limits, how necessary is a digitalization strategy at each decision-making level of pre-university education. The application of the questionnaire validates the research hypothesis, namely that the teachers consider digitization a tool that improves the didactic process, indicates coaching as a tool for acquiring digital skills and the fact that there is a need for a strategy regarding digitization at all levels of pre-university education, from the national level to the level of each unit separate schooling. The conclusion is that digitization is used much more after the post-pandemic period as a main teaching-learning-evaluation tool in the pre-university environment, because teachers are constantly preparing, using coaching, for the acquisition of new digital skills, and the pre-university education system, as a whole, it needs a more accurate planning of how digitization can influence the educational process. The contribution of this research consists in creating a strategy model regarding digitization at the level of a school unit.
Model Prediction XGBoost for Perspective of Closing Cernavoda Reactor 1 and the Impact on the Romanian Energy System
Authors: Crețulescu Andreea , Popescu Crețulescu Alexandru 
Published: July 2024

Abstract
Employing artificial intelligence (AI) and machine learning (ML) technologies to analyze the progression of energy markets is imperative, as these methodologies facilitate the modeling of diverse domain-specific data to forecast developments in an exceedingly volatile market. Utilizing machine learning algorithms to model data concerning the Romanian energy sector proves beneficial, particularly in circumstances where significant changes necessitate adaptation to internal consumption demands, while mitigating substantial fluctuations in electricity prices. Such fluctuations can profoundly impact crucial national economic indicators.. In this paper, we aim to simulate such a situation for the moment when Romania will be obliged to shut down and modernize Reactor 1 at Cernavodă due to reaching the standard operating time for the CANDU model. We will use an XGBoost for Regression algorithm in which we will input data about the national energy system (consumption, energy quantities according to the energy system's production structure by resource types) from the period 2020-2023, and then we will simulate the shutdown of the reactor to analyze how the national energy market is influenced. Our findings not only reveal the indispensable role of predictive analysis through ML/AI models in anticipating market changes, but also provide practical insights for decision-makers aiming to optimize the national energy system so that when Reactor 1 at Cernavodă is shut down, the domestic market is affected as little as possible, considering that this reactor has supplied the national system with approximately 700 MWe/h over the past 20 years.
Agile Transformation through the Performing Management of It and Cyber Security Projects, at the Government Level
Authors: Ștefan Marius , Cadis Aura , Chitca Camelia , Ciocîrlan Cecilia 
Published: July 2024

Abstract
Modern theories of intelligence have developed from the observation that the person, throughout life, is in constant development. In order to be successful, certain conditions must be met. These conditions for achieving success in life depend on the skills that are formed during formal education, or at least should be pursued as goals, beyond the disciplines.
In a current information society, the quality of life as well the perspectives of social change and economic development depend on information and its exploitation, especially in the institutional field of managing computer applications for the absorption of European funds, becoming a matter of national importance, with critical values for national security, characterized by the state of economic equilibrium. Scientific knowledge and information are of particular importance in the global information society by: supporting innovation through technology, promoting economic development through the use of emerging technologies, making decisions efficiently and transparently at government level.
The implementation and use of intelligent technologies have a decisive role in the development of the degree of digitization of public services through non-refundable funding from European funds and the National Recovery and Resilience Plan. The reinvention of the government can be transformed into a reality through the digitization and computerization of the public administration, assuming the modernization of the infrastructure through specific sources of funding, such as European funds, ensuring security through advanced cyber protection and defense capabilities against possible vulnerabilities, risks or cyber-attacks.
Achieving performance within the public institution requires an increased concern for innovation, creativity and change.
Strategies for Improving Productivity through Digital Upgrades: Case Study on RPA Technology
Authors: Bogoevici Flavia 
Published: July 2024

Abstract
In a time of continuous transformation and driven innovation, where the modern technologies meet the business environment, the technological and cultural shift is highly required. Companies should know how to manage changes of profound impact and how to face modern challenges in order for them to evolve. The Covid pandemic forced companies to compress years of digital transformation into months and adapt very quickly. New technologies have arrived and by adopting them, businesses can improve their processes, reduce their costs, minimizing the errors and attaining increased efficiencies. These are the main drivers in the Automation Economy, where successful automation programs represent a crucial aspect for the high productivity of the modern businesses. Robotic Process Automation can reduce the costs of business processes up to 80% as robots are performing low-level, manual, repetitive tasks. Now, there is no longer necessary to hire numerous employees as one robot can replace from three to eight employees. By 2030, the global RPA market is expected to exceed 13 billion dollars.
The paper offers an overview of three areas: productivity, digital transformation and disruptive technologies, through a conceptual framework. In addition, the paper discusses three technologies that are part of the productivity increase context, together with their impact: Internet of Things, Artificial Intelligence and Robotic Process Automation. These paramount concepts are further detailed during the paper, generating an accurate, new perspective regarding the topic. The paper is descriptive, explaining the conferred terminologies and the given ideas by using references to related literature and provides a case study from the automation industry.
Oil and Stock Markets in Ongoing Flux: Impact of Current Events on Oil Price and Stock Market Performance
Authors: Zwak-Cantoriu Maria-Cristina 
Published: July 2024

Abstract
The price of oil and, indirectly, the performance of stock indices have been significantly affected by the events of recent years, with a negative impact on the global economy, including the evolution of the energy market in the context of the transition to renewable energy sources and changes in global energy policy. This paper proposes a comprehensive analysis of the evolution of stock indices, oil market volatility and investors' response to the "black swan" events that have recently caused changes in the global economy. Using advanced econometric and statistical models, the paper presents the complex relationship between the analyzed stock indices, the trends and changes that occurred within them and the relevant influencing factors, such as the price of Brent Oil and the Baltic Dry Index. The results obtained, based on univariate GARCH models (GJR-GARCH) and multivariate DCC-GARCH models are in accordance with specialized studies in the field and show that oil price fluctuations were higher at the beginning of the Covid-19 pandemic compared to the period after the military conflicts (stage in which no significant influence of the oil price on the stock market is observed). Also, using the Chow test, in the analyzed period there are 3 important breaking points that coincide with the dates when the COVID-19 pandemic began, the military conflict between Russia and Ukraine as well as the military conflict between Israel and Gaza, events with a strong impact on the economy. The obtained results also show another important aspect, namely that, during the selected period January 2019-November 2023, the price of oil and the stock market were much more affected by the COVID-19 pandemic than by military conflicts, which cannot be also stated in the case of the price of the Baltic-Dry Index.
PEMILIHAN SUMBER PENDANAAN DALAM STUDI KELAYAKAN PENAMBAHAN INVESTASI PADA PT BALI TOWERINDO SENTRA TBK
Authors: Darmayanti Ni Komang , Anom Purbawangsa Ida Bagus 
Published: July 2024

Investasi adalah kegiatan pembiayaan aset yang waktu pengembaliannya lebih dari satu tahun. Investasi pada aktiva tetap dilakukan untuk memenuhi kebutuhan konsumen serta meningkatkan pendapatan perusahaan. Penilaian kelayakan investasi pada PT Bali Towerindo Sentra Tbk ini dilakukan dengan menggunakan metode ARR, IRR, PP, NPV, dan PI. Pada kegiatan investasi tentu diperlukan pula sumber pendanaan yang tepat agar perusahaan dapat memperoleh profit maksimal sehingga dalam penelitian ini akan ditentukan dengan menggunakan analisis rentabilitas antara dua alternatif pendanaan. Penelitian ini bertujuan untuk mengetahui apakah investasi aktiva tetap yang layak dapat meningkatkan keuntungan dan sumber pendanaan manakah yang tepat untuk mendanai investasi tersebut agar perushaan dapat memperoleh profit yang lebih besar. Hasil penelitian kelayakan investasi menggunakan metode capital budgeting menunjukkan bahwa investasi layak untuk dilakukan, investasi yang layak dapat meningkatkan profit bagi perusahaan yang dapat dilihat dari perkiraan EAT setelah penambahan Menara, serta pada analisis pemilihan sumber pendanaan menunjukkan bahwa perusahaan lebih baik memilih menggunakan sumber pendanaan dari kredit investasi dan laba ditahan, hal tersebut karena hasil perhitungan RE lebih besar dari bunga kredit, dan hasil perhitungan RMS sumber pendanaan gabungan dari kredit investasi dan laba ditahan lebih besar dari RMS sumber pendanaan yang berasal dari laba ditahan sepenuhnya.