bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assembling and Leading Mission Driven Teams A Conceptual Framework
Authors: Poleac Dalia 
Published: July 2023

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.