bluuebunny/crossref_metadata_2025 huggingface dataset:
Predictive Analytics Functionalities in Supply Chain Management
Authors: Puica Elena
Published: July 2023

This scientific paper presents a comprehensive analysis of the capabilities of IT solutions for predictive analytics in supply chain management. The study uses a multi-method approach, including a literature review, case studies by applying a machine learning model to technology solutions currently available on the market. The study examines the various software and technology platforms available today and their key features and functionalities, focusing in particular on Scripting, Data Mining, Algorithms, Data Analysis, Modeling, Data Interaction, Data Visualization, Reporting and Data Unification. The study also assesses the potential benefits and challenges associated with implementing these solutions in supply chain management. The results of the study provide valuable information for supply chain professionals, IT managers and researchers interested in the application of predictive analytics in this field. In addition, the paper also discusses the current trend and future direction in this field.
AI – powered Business Services in the Hyperautomation Era
Authors: Anica-Popa Liana-Elena , Vrîncianu Marinela , Petrică Papuc Iuliana-Mădălina
Published: July 2023

Hyperautomation is a business-driven approach, conceptualized in 2019 by Gartner Inc., that combines various technologies such as Artificial Intelligence (AI), Robotic Process Automation (RPA) and integrated platforms as a service (iPaas) with the aim of making business processes more efficient by substituting human intervention. Among these, implementations of AI within business services use technologies like Natural Language Processing, Voice and Image Recognition, Virtual Agents, Machine Learning or Deep Learning platforms. Acknowledging this reality, we are interested in developing answers to the following research questions: (1) What are the main categories of business services which integrate specific AI tools? (2) What are the transformed business processes and their operations provided by AI tools? (3) What are the benefits related to AI integrated tools? For this triadic purpose, a systematic literature review on the implementation of Artificial Intelligence in the field of business services was carried out. Only works indexed in the Web of Science database, published in the last 5 years, were selected. Moreover, the websites of the main developers and client companies were investigated. Our findings include a selection of identified AI solutions, structured by main business services categories; we have also outlined the performed tasks and the resulting benefits of each listed AI tool. The synopsis of AI-powered tools presented in the paper could serve professionals, managers and researchers in designing future policies, operational procedures and research approaches to cope with new challenges of disruptive technologies from the AI spectrum.
Fashion Joining Online Gaming and the Metaverse
Authors: Patruti Petra , Zbuchea Alexandra , Pînzaru Florina
Published: July 2023

In an era when targeting younger generations becomes more and more challenging, and classic fashion is starting to be seen as being outdated, the Metaverse and online gaming has attracted fashion brands’ interest. Increasingly more fashion brands, such as Nike, Vans, Gucci, Supreme, Forever 21, Ralph Lauren, and NASCAR, are being present in the Metaverse and online games. The purpose of the study will be to bring some light on how the Metaverse might revolutionize fashion marketing communication for the younger and future generations. The paper also explores the customer benefits that the brands offer through the Metaverse and why the younger public tends to find this marketing type so appealing. From a methodological point of view, two focus groups were organized, one for gamers and another for casual players. The research directions investigate the relationship between fashion, Metaverse, and gaming marketing communications. It follows the perception of the audience, as also the benefits for organizations and consumers of games that include fashion brands. The qualitative analysis results showed that the gap between gamers and nongamers is becoming more and more narrow, as both consume the same type of content, and the benefits for organizations are worth the investment. For consumers, on the other hand, both advantages and disadvantages were highlighted as concerns for future generations. The study acknowledges why the younger generations invest so much time and money in the digital fashion world. It clarifies aspects related to the Romanian market, giving useful insights for fashion brands and not only.
The Role of Attachment in Improving Consumer-AI Interactions
Authors: Pelau Corina , Volkmann Christine , Barbul Maria , Bojescu Irina
Published: July 2023

A successful implementation of artificial intelligence and robots in the service industry requires the acceptance and trust of consumers. In order to be able to provide similar services as human employees, AI devices and robots have to have the ability to interact and relate to the human consumer and, at the same time, to provide the expected information. Researches in the field of consumer services have shown that empathy and emotions can improve the relation between service employees and consumers, by providing more enjoyable interactions and a better exchange of information. In our research we investigate if the attachment between the consumer and AI devices can facilitate a higher quality of information exchange, a better and more pleasant interaction and if it determines a higher self-disclosing behavior from the consumer. Our results confirm that attachment has a positive impact on consumer-AI interactions, improving the perceived enjoyment of the conversation, a better quality of the exchanged information and determining a higher self-disclosing behavior. These results have important implications on the design of the future consumer-AI-interactions.
Knowledge Economy in the Retraining Process
Authors: Blănuţă Bianca Alexandra , Bogdan Anca
Published: July 2023

The knowledge economy is present in all fields and occupations where human capital is needed. It consists of educating and informing staff, thus helping to improve work performance and create competitive advantage. Where we have human capital, there is also the possibility of retraining staff, also present in all fields and occupations. Retraining of staff may be unavoidable especially following major impact events such as the 2019 pandemic or the Russian-Ukrainian war. The literature provides us with many insights from the field of knowledge economy and shows us that it underpins the development of a company’s staff, regardless of the field. And as staff is the key to a company’s success, this research will be dedicated to staff who have gone through retraining. This paper explores the relationship between knowledge economy and stuff retraining. This paper will study the retraining of personnel in the case of Michelin, the well-known tire manufacturer. The pandemic, or simply the need for change and reinvention, has prompted employees to make a professional change from physical work in the factory to office work, or rather work from home. The study will show the retraining process that Michelin staff go through, we will see what are the differences between physical work for the actual production of tires versus online work. Through this process, we will see the need for the knowledge economy.
Steps to Implement Knowledge Management in SMEs
Authors: Camară Andreea Bianca
Published: July 2023

The concept of Knowledge Management has evolved considerably over time and is increasingly becoming of interest to current companies and implicitly to small and medium-sized enterprises. The technological era and the constant challenges faced in the current context lead small and mediumsized enterprises to use new techniques to gain notoriety in the market and achieve new competitive advantages. The paper considers the detailed analysis of specialized works covering the field of Knowledge Management and highlights the most important theories from the point of view of Knowledge Management implementation in small and medium-sized enterprises. The purpose of the paper is to highlight the concrete steps to be followed in the implementation of Knowledge Management and the theoretical delimitation of the concept to verify its understanding. Theories that define and analyze the field were analyzed and the substantial differences between data, information, and knowledge concepts were highlighted. This paper projects the Knowledge Management System from perspectives that include the representation of knowledge, its organization, implementation, and sharing, as well as ways to measure the performance of knowledge Management in the company. The focus is on conducting an in-depth theoretical review and analysis of Knowledge Management. The contributions of this paper will be useful for both academics and practitioners in the study of Knowledge Management.
A Bibliometric Analysis of four Constructs Interconnections: Innovation, Competitive Advantage, Agility and Performance
Authors: Jerdea Loredana
Published: July 2023

In a globalized economy, innovation is a priority of ensuring the competitive advantage and organizational performance of agile companies, competitiveness being the core of the development in any economic activity. Consequently, the purpose of this research is to provide an overview regarding the connections between four main constructs, respectively innovation, competitive advantage, agility and (firm) performance, through performing a bibliometric analysis by using the VOSviewer visualization tool. The information has been selected from the Web of Science Core Collection database (WoS) during February 2023. This preliminary study aims to grant relevance to the potential research areas prone to be exploited when discussing the matter of innovation in relation to performance, competitive advantage achievement and agility. The main premise is that every company has its particularities and acts accordingly to stay competitive through innovating its business model and through an articulate innovation management, also encompassing agility, with a view to reach organizational performance and strong competitive advantage. In terms of findings, the bibliometric analysis conducted confirms the existence of compelling relationships between constructs, thus supporting further scrutiny in this direction.
Use of Knowledge Management in Companies – An Overview of Energy Consumption Strategy on Short Term
Authors: Sandu Mihai
Published: July 2023

Recently, managers and entrepreneurs have begun to realize the importance of adding value to people and, consequently, to the processes in their companies. Thus, the focus on knowledge management is not limited only to results and financial growth, but also to results and personal growth. Knowledge management refers to a set of strategies used within organizations to improve results. Learning is the best direction anyone can invest in right now. Performances of any company depend directly on how it was understood and implemented knowledge management. With the help of these tools, both individuals and companies can help reduce energy consumption, a necessary process especially due to the impact of global warming and climate change, and in particular from the start of 2022 when Russia started the unjustified military aggression against Ukraine, creating a pressure over the market prices. The research was assessed through a descriptive analyses approach trying to identify trends and relationships. The examination of the information shows that there are differences between the countries measured, from the perspective of the socio-economic, and from different sources of energy supply. Must employees develop furthermore both personal and professional? Are the companies ready to use the knowledge to improve the consumption of energy? The central purpose of this research is to examine the degree of the reduction of energy consumption, what is there to be done on the short term with the energy crisis, and the importance of professional and personal development in the new era of knowledge economy.
Nurturing Neuroplasticity as an Enabler for Growth Mindset through Lifelong Learning and Knowledge Dynamics
Authors: Staneiu Roxana-Maria
Published: July 2023

In a world where change and uncertainty prevail, one’s ability to take full responsibility for the development of their own brain renders itself as a propensity to increase neuroplasticity by engaging in mentally challenging endeavors to be broader stimulated. Being an in-built human ability, which enables the brain to reorganize pathways and create new synapses at all times in people’s lives by accumulating new information through experiences, neuroplasticity offers people the opportunity to rewire their behaviors by constantly learning to expose to new contexts and be creative in front of challenging and complex situations. Following an empirical analysis of the literature review covering neuroplasticity, growth mindset, lifelong learning and knowledge dynamics, the paper aims to revels the connection between these forces and understand the influence each other plays in stimulating the brain, increasing its capacity and ensuing an enhanced personal and professional development. The results showcase an organic connection between neuroplasticity, growth mindset, lifelong learning and knowledge dynamics which illustrated itself in the shape of a research diagram, emphasizing the interconnections and the prevalent role of knowledge transformations.
A Bibliometric Analysis of the Role of the Intellectual Capital in the Organizational Agility and Performance
Authors: Stratone Mădălina-Elena
Published: July 2023

The aim of this paper is to present a bibliometric analysis of the literature focusing on the role of the intellectual capital in the organizational agility and performance. The methodology used is based on a bibliometric analysis that was performed with the specialized software VOSviewer. The analysis graphically illustrates nine semantic clusters that are presenting the co-citation distances between various concepts that are related to the search expressions that were used, including “intellectual capital”, “performance” and “agility”. When it comes to the database, there were used the papers published in journals that were indexed in Scopus. The outcomes of this research paper are the graphical representation of the semantic clusters for the already mentioned searched expressions and a series of tables that include the content analysis of the nine clusters and other data of interest concerning the publications (such as the top 10 countries that published articles related to the topic of interest and the types of documents retrieved). The findings are demonstrating that there is a consistent link between innovation, intellectual capital, knowledge management, performance and agility. The contribution of this research comes from the fact that it is the first bibliometric analysis of the correlation between intellectual capital, performance and agility, as reflected in the papers retrieved from Scopus.
Assembling and Leading Mission Driven Teams A Conceptual Framework
Authors: Poleac Dalia
Published: July 2023

Globalization, interconnectivity, and instant access to information have multiplied the complexity of the problems industries are facing. A new way of looking, feeling and thinking is necessary that will lead to richer strategies and new tools to create organizations that have a positive impact on their environment and culture. High performance teams driving innovation are built on goal-focused individuals, from cross-functional backgrounds. They are assembled to collaborate on solving particular challenges of achieving an objective. The current study aims to analyze the creative process within ad hoc mission driven teams and propose a design framework for organizational practices. Strategic design transforms complex problems into sustainable solutions, by focusing on systemic innovation. Unlike design thinking, which is a formal method used mainly in the consultant model, strategic design is a design practice applied on organizations culture, policy, governance, and strategy. Questions such as how to run mission-driven teams to function on their own and how to reduce micromanagement and oversight and focus on the production, testing and iteration of innovative solutions, will be addressed. The study is based on qualitative research, with the focus on exploring case-studies and conducting interviews. The paper helps organizational leaders and team managers to design solutions for cultural practices that are aligned with sustainable industry goals and business performance.
Measuring the Added Value of Competitive Intelligence in Business
Authors: Taranu Silvia-Denisa
Published: July 2023

The very purpose of the research is to measure the applicability and effectiveness of the Competitive Intelligence (CI) concept in the business environment. We are analyzing the concept as a general and we are looking at the business environment to see whether the CI techniques do or do not have an impact in the strategies and success of the companies.

In most companies and, according to the main interest of this research, in corporations, it is desired that each existing or newly created division has a measurable dimension of efficiency and impact in the business. Both, the employees from the respective divisions and the division, as a whole, are periodically evaluated by measuring the performance objectives set at the beginning of a year; objectives that can be quantitative, through the effective calculation of the amounts attracted in the company, especially when we talk about sales teams, as well as qualitative ones, where the impact that employees have on the team’s working climate, the reduction of reputational risk and others are subject to analysis.

From the recent analysis of the relevant bibliography, for competitive intelligence, a model for measuring efficiency in multinational companies has not yet been developed. Although CI is intended to identify opportunities and threats in the business environment to support the decision-making process in companies, most of them do not periodically and systematically measure its value.

Since the management of corporate-type companies requires standardized measurements, aligned with the organizational culture, the CI products do not bring these figures with rigor, so supporting the CI functions, the growth of these departments and the related budgets is difficult.
Identifying Opportunities for Improving Business Processes within e-Commerce Companies: Evidence from Romania
Authors: Andrei Georgian , Militaru Gheorghe , Ion Popa Raluca Georgiana , Duta Crina Andreea
Published: July 2023

The main objective of this study is to identify opportunities for improving processes specific to e-commerce firms. Identifying opportunities for improving business processes within e-commerce companies is critical for staying competitive in today’s market. With the rapid growth of e-commerce, companies must constantly strive to optimize their processes to remain efficient and effective. By identifying areas where processes can be improved, companies can reduce costs, increase customer satisfaction, and enhance their overall competitiveness. This study utilized the focus group methodology as a means to gain a better understanding of the opinions, perceptions, and experiences of the participants, and to enrich the overall research findings. Thus, using a semi-structured question guide, two focus group discussions were held, consisting of four men and six women. Participants had experience ranging from three to ten years in e-commerce companies. The results of this study revealed many interesting aspects about the opportunities to improve processes specific to e-commerce companies in terms of order fulfillment, supply, returns, customer support and product listing.
Player Exploitation in Esports Esports Organizations Policies and Business Strategies
Authors: Dominteanu Teodora , Smîdu Neluța , Voinea Andreea , Dinciu Corina-Claudia , Porfireanu Maria-Cristiana , Iacobini Adrian
Published: July 2023

Player exploitation in esports refers to the practice of exploiting players for financial or other gain without providing fair compensation or benefits. This can include issues such as low wages lack of job security and poor working conditions. Examples of player exploitation in esports include signing players with long-term contracts with low wages and no benefits and the use of non-disclosure agreements. Agreement (NDA) prevents players from discussing their pay or working conditions. This situation makes it difficult for players to negotiate better contracts or speak out against abuse leaving teams if they are unhappy with their situation. Another example is the lack of proper training support and benefits for players such as healthcare and mental health. Many esports teams do not provide enough resources for players to improve their skills and maintain good physical condition. This can lead to fatigue and injuries which can seriously affect a player’s career. Many esports players are young and the lack of access to these resources makes them vulnerable to exploitation. The esports industry is still relatively new and unregulated which can make it easy for companies and teams to exploit players. However, there are many organizations and advocacy groups working to improve working conditions and ensure fair treatment for sports athletes. Athlete exploitation in esports in general is a serious issue that needs to be addressed to ensure that athletes are treated fairly and have the resources they need to succeed in their careers.
Sports Forensic: Academic and Practical Approaches
Authors: Bakhaya Irina , Niţă Sorin Cristian
Published: July 2023

Sports forensic is a very niche segment of knowledge and activity encompassing sports, audit, legislation, chemistry and police investigation. The purpose of this article is to have a transdisciplinary approach encompassing on one hand academic frameworks of analysis and on the other qualified judgement of professional bodies and authorities. Outside its law enforcement capacity, evidence gathered by police in an attempt to find non-coercive solutions, can serve as advancements in the field of sports. The perspective of this article is an education one, identifying causes, effects as well as providing insights for prevention and anti-corruption programmes. Also, organisational risks are zoomed-in via annual reports and their subsequent non-financial reporting. Mapping out and better understanding scale and stimuli of corruption in sports while acting can play a disruptive role in other criminal activities. International cooperation and identifying best practices are a key aspect in guiding whistle-blowers as well as making sports forensic a more established filed of research, for better competitions.
Efficient Capture of Solar Energy in Romania: Approach in Territorial Profile Using Predictive Statistical Techniques
Authors: Rotaru Cătălin-Laurențiu , Timiş Diana , Grădinaru Giani-Ionel
Published: July 2023

Nowadays, the renewable energy sector is an area of interest for every state. Global regulations and policies encourage the development of these technologies, given the current political context, but also environmental issues. Romania, due to its geographical position and climate, is considered a country with high potential regarding the implementation of alternative sources of renewable energy. This research presents the importance of solar energy and provides a statistical analysis on the sectors influencing the implementation of green energy. At the same time, those counties that are eligible are identified and different scenarios are created for the ineligible counties that lead to their eligibility.

The research develops 3 main objectives. To begin with, it is desired to be created an overview of the indicators included in the analysis, in order to develop a detailed statistical analysis of the situation of each county of Romania. Following this extracted information, the second objective is outlined, which is to create an indicator that groups counties into counties eligible for solar energy and counties ineligible for solar energy using the K-Means Cluster-unsupervised learning algorithm. Finally, using the supervised learning algorithm - Logistic Regression, predictions will be made with the help of which those sectors of activity that can be improved in order to implement green energy will be identified.
The Relevance of the Circular Economy in the Context of Sustainable Development
Authors: Zăpucioiu Luiza-Florentina , Sterie Maria-Cristina , Dimitriu Theodor Anton
Published: July 2023

Circular economy, the economic model that aims to maximize the use of resources and minimize the impact on the environment by reusing, recycling and encouraging regeneration. Through the SPSS statistical program, estimates are made regarding 3 indicators, the final energy consumption by agriculture and forestry per hectare of used agricultural area, The share of renewable energy in the final gross energy consumption per sector, The recycling rate of municipal waste are needed to be able to identify the direction Romania is heading in the next 10 years. Thus, the final energy consumption by agriculture and forestry per hectare of surface increases from 43.32% in 2021 to 43.32% in 2030, being necessary to adopt new sustainable agricultural practices in order to achieve efficient agriculture by reducing the consumption of energy. According to estimates, the share of recycled municipal waste has increased significantly over the last 20 years, from 1.6% in 2001 to 11.3% in 2021, with Romania expecting to reach 27% by 2030.
An Investigation on Real Estate Market Dynamics and Bubble Formation Modeling
Authors: Iancu Laura Andreea , Croicu Andreea Elena , Rogojan Luana Cristina
Published: July 2023

A speculative bubble arises when the market price of a financial asset diverges from its fundamental value, resulting in abrupt and disproportionate hikes that cannot be rationally explained by its underlying intrinsic value. This behavior is often followed by market crashes, as observed during historical asset bubbles such as the Dutch Tulip Mania (1634-1637), the Mississippi bubble (1719-1720), the South Sea bubble (1720), the stock-market bubble of the US (1921-1929), the Japanese stock market and real estate bubbles (1986-1991), and the recent US housing bubble and the stock market crash (2002-2006). In the housing market, speculative bubbles can be attributed to excessive public expectations of future price increases, leading to overpricing and eventually diminishing demand and instability of inflated home prices (Case and Shiller, 2003). The cycle of a housing market bubble involves individuals continuing to purchase houses despite awareness of overpricing, with the expectation of compensation through further price increases. This perception of continuous price increases leads to increased demand, which further drives up prices. However, house prices cannot increase indefinitely, and the steady increase eventually becomes unstable, resulting in a downward adjustment that may occur at a much faster pace than price increases. The existence of speculative bubbles in stock and housing markets has led academics to investigate their potential role in financial crises.
Modern Approaches in Credit Risk Modeling: A Literature Review
Authors: Rogojan Luana Cristina , Croicu Andreea Elena , Iancu Laura Andreea
Published: July 2023

In the financial industry, models are pervasive, and their quantity and complexity continue to increase. Constant advancements are made in econometric and statistical theory, but a fast-developing body of rules and regulations governing their use needs modeling specialists to remain vigilant and adaptable. The tendency of these regulations to be ambiguous necessitates that industry professionals and institutions interpret them independently and jointly. This leads in what is referred to as a “industry standard,” or a set of procedures that are recognized among modeling professionals but not necessarily to those outside of the industry. Non-practitioners in the industry may view the modeling department as a “black box” for these reasons. The accurate evaluation of financial credit risk and the forecasting of bankruptcy are crucial to both the economy and society. In recent years, more and more approaches and algorithms have been advanced for this purpose. At this point, it is of the highest concern to investigate the current credit risk assessment methods. In this paper, we review the traditional statistical models and cutting-edge intelligent methods for forecasting financial distress, with a focus on the greatest advances in the academic literature, as the promising trend in this field. Lastly, the paper will conclude with an overview of the evolution of methodologies and conceptual frameworks in credit risk management research, as well as possible future research directions.
Resilience of the Management of Healthcare Providers Caused by the COVID-19 Pandemic
Authors: Savin Ion Marius
Published: July 2023

Health facilities and healthcare providers are responsible for the prevention, treatment and control of diseases and must have an increased capacity for resilience to deal with a crisis regardless of its nature. All medical facilities and healthcare providers in Romania have faced challenges in managing cases of infection with the SARS-CoV-2 virus. The mission of this study was to highlight the main challenges generated by the development of the resilience of health facilities and medical service providers in Romania during the COVID-19 pandemic and to provide concrete solutions to respond correctly to this crisis. This qualitative study was conducted through structured interviews with 45 people occupying management positions within public medical units and private healthcare providers. Study participants were selected using a non-probability sampling technique and thematic review was used to analyze the data.
Banking Chatbots: How Artificial Intelligence Helps the Banks
Authors: Cîmpeanu Ionuț-Alexandru , Dragomir Denis-Alexandru , Zota Răzvan Daniel
Published: July 2023

When we speak of solutions that can be designed, developed, and implemented to solve a determined problem in a specific domain, human intelligence shows that it cannot be kept within regular bounds. In addition, it consistently manages to produce innovative elements that increase efficiency, applicability, and abstraction, with the drawback of increasing the overall underlying complexity. As technology advanced and time passed, in every system there was a visible need to automate manual, repetitive, and mundane tasks to help save time and let humans focus on more important things. A practical example of such a system is the banking system. In this paper, our aim is to present how Artificial Intelligence (AI) helps this field through the use of chatbots. In this sense, we present and analyse five examples of such applications that are already used in the international banking system, highlighting the main benefits they bring. Finally, we present some conclusions regarding the chatbot systems analysed, acknowledging that the future will increasingly belong to IT applications of this kind.
Can Machine Learning Models Predict Inflation?
Authors: Ivașcu Codruț
Published: July 2023

This paper studies the performance of Machine Learning models in inflation forecasting. The most popular algorithms have been used, respectively Support Vector Regression, Neural Networks, LSTM, Random Forest, XGBoost and LightGBM in both univariate and multivariate form, in order to predict the inflation in Romania, expressed as CPI, Core-1, Core-2 and Core-3, on multiple time horizons. The results suggest that the heuristic methods are not suited in a data-poor environment, being unable to surpass a simple autoregressive model.
The Applicability of Machine Learning in Prediabetes Prediction
Authors: Vîrgolici Oana , Vîrgolici Horia-Marius , Bologa Ana Ramona
Published: July 2023

In over 60% of patients with prediabetes, the evolution to diabetes can be stopped by changing lifestyle. The prevalence of diabetes mellitus was 11.6% and of prediabetes was 16.5% in the Romanian population aged 20-79 years. The deficiencies are not only at the health system level, but also in the application of prediabetes criteria existing in accredited guidelines. Although these guidelines imposed by the international diabetes federation are constantly updated, many doctors do not apply the recommended steps for diagnosis and treatment. We review, in the first part of the paper, several studies in predicting diabetes, which used different algorithms and techniques. In this second part of the paper, we propose a machine learning approach for prediabetes prediction, which uses kNN (k-Nearest Neighbors), DT (decision tree), SVM (Support Vectors Machines) and Logistic Regression (LR) algorithms. We used a dataset with 125 persons (men and women), with the following features: gender (S), serum glucose (G), serum triglycerides (TG), serum high-density lipoprotein cholesterol (HDL), waist circumference (WC) and systolic blood pressure (SBP). We used standardized medical criterion named Adult Treatment Panel III Guidelines (ATP III), which specifies that prediabetes diagnosis can be established if at least three of five parameters are outside the scale of their normal values. We obtained, for both algorithms, encouraging results in evaluating the models (in terms of confusion matrix, f1_score, accuracy_score).
Banks as Liquidity Providers in the Interbank Market
Authors: Mihai Irina
Published: July 2023

The paper analyzes structural differences in banks' ability and willingness to supply liquidity in the interbank market given the existing prudential regulation using a partial equilibrium model. The results show differences in the Liquidity Coverage Ratio (LCR) effectiveness for two types of banks' business models. First, for the more traditional one (with structural liquidity surplus), the LCR measure enables banks to lend more in the interbank market (by letting them subtract possible cash inflows from the expected outflows under a liquidity stress scenario) but at the cost of allowing them to maintain lower default limits (thresholds on the maximum liquidity shock the banks can withstand without entering default). Second, banks with structural liquidity deficits that need other funding sources than retail deposits, like subsidiaries that receive finance from their parent banks, face tighter requirements on high-quality liquid assets, keep higher default limits and lend less in the interbank market. For this business model, often seen in emerging markets, including Romania, the LCR measure fosters banks' resilience to liquidity shocks. However, this LCR functionality might encourage them to overlook contagion risk from their parent and parent banks' economies, especially under favorable financial conditions. Prudential authorities should complement the LCR measure with other instruments (like liquidity stress test) that better assess banks' liquidity risk due to maturity mismatch. Banks' liquidity risk management can partially mitigate the differences in LCR effectiveness through precautionary holdings of additional liquidity buffers. Banks with higher risk aversion prefer maintaining a higher no-penalty limit (the maximum liquidity shock the bank can accommodate without a penalty fee) and an increased default threshold and are less willing to lend in the interbank market.
The Contagion of International Crises: Implications of Inflation and Investor Sentiment on Stock and Treasury bond Returns
Authors: Zwak-Cantoriu Maria-Cristina
Published: July 2023

In recent years, the stock market has faced numerous challenges generated by unexpected events that had a major impact on the global economy. Thus, through this paper, which is based on the analysis of the relationships between inflation, stock market yields and treasury bond yields in the context of international crises, it is intended to illustrate the possible effects of inflation on stock market yields and treasury bonds, as well as to compare the performance of stock market indices and treasury bonds in relation to the corresponding inflation. The main objective of this paper was to capture the complex relationships between inflation, stock market index returns and treasury bond yields over a period of ten years by using a series of advanced statistical techniques. Through the advanced techniques and models implemented, it is proposed to evaluate the correlation and causality between these economic variables, the goal being to determine the degree of influence these correlations have on the investor's sentiment in choosing the investment portfolio. The originality of this paper is reflected by the case study carried out on the daily returns of stock indices from America and Central-Eastern Europe, as well as the variable values of the consumer price index and long-maturity treasury bonds, over a period marked by events with a high impact on the global economy. The results obtained show that in the analyzed time series there is a close connection between the contagion of stock markets, inflation and 10-year treasury bonds, and the strong impact tends to be unidirectional, from the changes recorded in the level of inflation to stock index returns and 10-year treasury bond yields, as a result of the evolution of the geopolitical conflict and of the state of the global and regional economies, but not vice versa.
The New Dimensions of Critical Dependence on Space Systems
Authors: Opran Marius Eugen
Published: July 2023

Space systems are a key enabler for a wide variety of applications and capabilities. They have become very important for the functioning of critical infrastructure systems and for national security processes. This article lays out the arguments in favor of characterizing the dependence on space systems as being critical, describes the recent and important changes in the security environment, and lays out key trends in space security governance which will affect the domain in the future.
E-Learning in Higher Education during the COVID-19 Pandemic: A Bibliometric Analysis
Authors: Prioteasa Adina-Liliana , Ciocoiu Carmen Nadia , Lazăr Laurențiu , Minciu Mihaela
Published: July 2023

It is undeniable that the COVID-19 pandemic has caused serious problems to education on a global scale, as well as to health systems and national economies. As a result, governments around the world have had to make extraordinary efforts to solve the various problems encountered not only in the area of health and the economy, but also in education. In terms of education, the changes include, but are not limited to, curriculum revisions, the provision of technology resources and infrastructure, changes in the academic calendar, and policies regarding instructional delivery and assessment. To limit the spread of the pandemic, universities, institutes and academic schools had to switch to online education using available educational platforms. This has been reflected in the emergence of numerous publications dealing with the subject. The study aims at the quantitative evaluation of the research carried out and published in the field of e-lerning in the university environment in the context of the pandemic crisis, starting from a comprehensive bibliometric analysis based on Scopus publications. The distribution of published papers in terms of years, authors, institutions, countries, journals, the network of co-authors, co-citations, and the cooccurrence of keywords is discussed. The main conclusions regarding the research trends in the field are drawn. The study represents a useful resource for those interested in the field of e-lerning in the academic environment in the context of COVID-19 that captures the main changes produced in the field and the potential research directions.
Study on the Behavior and Preferences of Social Media Users, after the Pandemic Era
Authors: Armășelu Ștefania-Maria , Deselnicu Dana Corina
Published: July 2023

In recent years, the virtual environment has grown, experiencing new perspectives of use and an increasing number of new users. Older studies showing that the desktop and laptop will be abandoned, and information will be produced and disseminated online via mobile telephone have proven to be relevant, and these things are happening nowadays. This paper highlights a brief analysis of existing management processes and proposes an improvement of the communication process through social media networks in industrial organizations. Social networks have developed a new side, a commercial one, which has changed simple users into real consumers, outlining a new, different nuance of the way of communication. The attitude of social media users is also influenced by other personal characteristics, such as age, gender, job, or time spent on virtual activities.
An Innovative Future through Robotic Process Automation, a Case Study
Authors: Bichel Andreea Nicoleta , Șerban Corina Georgiana , Bujor Dragoș
Published: July 2023

Artificial intelligence and robotic process automation are among the next generation of digital technologies that are transforming the workplace and our daily lives. And digital transformation has become a critical strategy for many businesses and their leadership. In today's fast-paced and ever-changing business environment, the cornerstone of organizational success is innovation. As the business environment is in perpetual modification and development, it requires businesses to be adaptive to both external and internal factors. The instability of the organizational environment increases the necessity and benefits of employee innovation. The authors analyze the extensive literature defining artificial intelligence, focusing on automation and specifically the role robotic process automation has in increasing organizational efficiency, reducing cost, and ensuring quality. In expanding on the scientific literature surrounding robotic process automation, the article analyses a case study of a Romanian tech company whose complex internal technology ecosystem has resulted in a disconnected landscape which required constant multi-system manual intervention in order to ensure process and data cohesion. The authors present the company’s response to the increased consumption of human capital on repetitive tasks that were increasingly subject to errors, in the form of robotic process automation and levels of machine learning and artificial intelligence. In following the progress of the company towards adopting robotic process automation to increase efficiency, speed, accuracy, and security of processes and tasks, the authors identify the benefits of directing human labor towards more meaningful activities and allowing the repetitive tasks to be shifted to robotic labor. The authors followed the progress of a service technology solutions organization that has established an IT intelligent operation ecosystem, with new strategies across various key departments such as finance, human resources, and Internal Audit, followed by their leadership perspective and thinking for the company's next steps in this case study.
Technical Analysis of RFID and IoT Technologies Integration in Product Recall Digitalization Process
Authors: Cornea Andreea-Alina
Published: July 2023

The implications of technology in various areas around the world represent a subject of interest for stakeholders belonging to different fields, the favorable results observed over time on the refactored and reinterpreted processes in the digital context being increasingly frequent and visible in their attention. The process of reimagining and reconfiguring activities in a new and innovative way is carried out progressively, in every day-to-day aspect, and their impact on different sectors or environments is measured by how quickly new requirements, preferences, habits or restrictions can be accommodated. The population currently places significantly attention on health by following the products they consume, their composition, the distribution process and also taking into account the presence of the manufacturing company in the public environment and its general perception. Thus, manufacturers currently feel an additional pressure to project a positive image, being forced by the parties involved to implement different programs that can increase their visibility and attract consumers to test the offered products. However, the acquired publicity can be quickly transformed into negative advertising, when there is no absolute control over the management of all processes within the production and distribution chain. In this context, a deeply damaging impact on the company’s image is given by the recall process of a product that is not properly managed. Currently, companies are endeavoring to implement diverse strategies and methodologies regarding the recall process, being receptive to the adoption of digital perspectives and implementing different technologies with the aim of controlling this situation as efficiently as possible.

Thus, one of the approaches subjected to rigorous investigation and analysis in the recent period is represented by the recall process automation through various technologies such as Internet of Things and Radio Frequency Identification, with the aim of instantly locating areas where the products are distributed and sold, in order to notify affected consumers as soon as possible.
The Link between Business Benefits and ERP Systems: A Bibliometric Analysis
Authors: Darie Casiana Maria
Published: July 2023

This research presents a bibliometric analysis conducted on the Scopus database, using the keywords "ERP" and "Benefits." The objective of this study is to identify the trends and patterns in the literature related to the implementation of ERP systems and their associated benefits. The analysis was performed using Vosviewer, a powerful bibliometric analysis tool that allows for the visualization of bibliographic data. The retrieved articles were analyzed using various bibliometric techniques, including co-citation analysis and keyword co-occurrence analysis. The results of this study provide insights into the current state of research on ERP systems and the benefits they offer. The findings indicate that the implementation of ERP systems can result in a range of benefits, including increased efficiency, cost savings, and improved decision-making. This study also highlights the need for further research in several areas, including the impact of ERP systems on organizational culture, the role of ERP systems in digital transformation, and the challenges associated with the implementation of ERP systems. Overall, this bibliometric analysis provides a valuable contribution to the existing literature on ERP systems and their associated benefits.