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Proceedings of the International Conference on Business Excellence
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This is an Open Access Journal

Open Access journal
ISSN (Print) 2502-0226 - ISSN (Online) 2558-9652
Published by Sciendo

[389 journals]

Globalization and the global trending dimensions of the labor market in a
challenging context: Aspects and insights
- Abstract: This paper presents, describes and analyzes globalization and the global trending dimensions of the labor market and business in a challenging context. The research method started with an initial literature review then it focused on data analysis, interpretation and description, the research focus as well on creating frameworks illustrated in the part of analysis to analyze and illustrate some results and ideas. The research question is “how could globalization lead the labor market to a challenging context with and within the global trending dimensions' The results showed that globalization structured the labor market and economies and extended their global dimensions by facing facts such as skills, inflation, trade options, different economic sectors and societies, wage effects and even immigration. However, it always faces the question of employment and unemployment that affect the economy and the global society since it divided the world between developed and developing economies. In conclusion, globalization has led the labor market to a challenging context with global trending dimensions, negotiations and political adjustments are important to balance social and economic needs in order to avoid a global crisis, the labor market and its trends are important for both economic and social development.
  PubDate: Mon, 05 Aug 2024 00:00:00 GMT
Quality, Performance, Excellence: The Harmonious Organizational Triad
- Abstract: The main purpose of this paper is to introduce a conceptual model of the triad Quality - Performance - Excellence (QPE); call it the Harmonious Organizational Triad. The method is qualitative, based on literature survey (secondary research), analyzing the interdependencies between these pairs of concepts (quality-performance, quality-excellence, and performance-excellence) within organizations. In this regard, an analysis of the existing literature on the concepts of quality, performance and excellence was carried out, highlighting relevant theories, models, and approaches to studying these concepts. Several studies exploring the interactions between quality and performance, quality and excellence, and performance and excellence were identified. The objective was to identify how each two concepts (i.e., quality and performance; quality and excellence; performance and excellence) are interconnected in an organizational context. Based on the literature analysis and the relationships identified between the concepts, a conceptual triadic model (QPE Triad) was developed. The QPE Triad illustrates the connections between the three concepts and their interdependencies. The implications are important for both scholars and practitioners – managers of organizations active in various industries – either goods manufacturing or service providers.
  PubDate: Mon, 22 Jul 2024 00:00:00 GMT
Unleashing the potential: harnessing generative artificial intelligence
for empowering model training
- Abstract: Recent strides in generative artificial intelligence, particularly large language models, have been propelled by foundation models – learning algorithms trained on extensive and diverse datasets encompassing various subjects. This technology, inspired by the complexity of the human brain, unveils a new frontier in generative Artificial Intelligence (AI), showing its potential in creativity by generating innovative content based on absorbed data and user prompts. It is forecasted that the conversational AI and virtual assistant segment is experiencing the highest growth rate within the contact center industry, projected to fuel a 24% increase in the market during 2024. In spite of all remarkable performances, the incipient stage of generative AI calls for a careful consideration, as technological and ethical challenges demand attention and awareness. This research delves into the base principle which empowers users to build personalized chatbots trained on your data. This stand-alone footprint can further exemplify the transformative potential of generative artificial intelligence, extending its reach beyond professionals to individuals and tremendously remodeling the landscape of chatbots.Text generation lies at the intersection of computational linguistics and artificial intelligence, forming a specialized area within natural language processing. It implies a thorough procedure where a model is trained to be able to recognize and interpret the context of specific input data, subsequently generating text that pertains to the input’s subject matter.We have identified gap areas that require in-depth research. For instance, a broader number of papers relies solely on architecture optimization, performance comparison or application-specific studies. Therefore, this paper gives a bird’s eye view of the effective algorithm flow of a traditional generative model, using Long Short-Term Memory networks – part of the recurrent neural networks part family. The purpose of the current study focuses to enrich the existing body of knowledge on how a response generation-based model operates, therefore paving the way for chatbots development and deployment.
  PubDate: Mon, 22 Jul 2024 00:00:00 GMT
The Impact of Non-Reimbursable European Funds in Romania on Gross Domestic
Product
- Abstract: The paper represents an analysis of the access to non-reimbursable European funds in Romania, at the level of January 2024. The analysis is carried out at the territorial level, in all 41 counties in Romania, to which the Municipality of Bucharest is added. In order to determine the efficiency of the use of these funds, a correlation was made between the level of the Gross Domestic Product (GDP), as the main macroeconomic aggregate that measures the level of development and the value of the non-reimbursable European funds accessed by Romania in January 2024. The correlation shows a direct and strong link between the two variables, at each county level.
  PubDate: Mon, 22 Jul 2024 00:00:00 GMT
Cultural Agility in the Age of Disruption
- Abstract: The aim of this paper is to propose a holistic conceptual framework focusing on cultural agility, intercultural competence and how they activate within the complex dynamics of disruptive business environments in order to enhance companies’ ability to operate in international markets and to respond to the challenges posed by a rapidly changing landscape impacted by fast technological advancements, Artificial Intelligence, global trends or major geopolitical shifts. Our research methods included a critical screening of relevant literature, journals, books, articles, reports, statistics, internet researches, that represented the theoretical part of this study. Based on this theoretical foundation, interpreting our findings, a holistic conceptual framework is proposed. This framework illustrates a process constituted by 4 stages strongly connected with the concepts of organizational culture and strategy. It highlights the vital importance of cultural knowledge, behaviour, feedback & assessment, improvement & learning within organizations facing disruptive challenges. This paper is part of a larger project on the importance of intercultural competences in multinationals and offers future research opportunities.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
The Economic Profitability of Garlic Cultivation through the Application
of the ”De Minimis” Aid Scheme, Estimates for the Year 2024 in Romania
- Abstract: The culture of Romanian garlic has a high potential from an economic point of view, being in great demand on the market, Romanians preferring its taste and aroma. However, ..garlic cultivation does not have an easy technology and the Romanian seed is hard to find, so many of the producers are discouraged and prefer to cultivate other, safer crops. Massive imports of garlic led to measures from the state. Underscoring the importance of garlic cultivation for the Romanian economy, the state met agricultural producers with a “de minimis” support to support garlic production. The present paper, in order to contribute to making the necessary decisions for the future production cycle as well as to support farmers who want to cultivate this crop, analyzes the economic efficiency with the help of profitability indicators (profit, profitability rates, breackeven point, etc.), for two possible situations: with financial support granted through the Garlic Production Support Program and without taking into account this “de minimis” support. In this context, it is aimed to evaluate the economic viability in terms of the use of the production framework technology of garlic culture and the rational use of both the raw materials used and the human and financial resources to produce garlic of high quality but at low costs. Agricultural activities are always determined by the profitability of the crop. The findings of the study can have a positive impact on farmers, allowing them to adjust their material resources and current farm capacities for higher productivity, while highlighting the importance of implementing the garlic crop support program.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Small Modular Reactors in Romania’s Energy Future. Two Essential
Perspectives: Capital Costs and Public Perception
- Abstract: In 2023, during the annual United Nations Conference on Climate Change (COP28), Romania joined the Net Zero Nuclear Initiative and the Ministerial Declaration for the tripling of nuclear capacity by 2050, which recognizes the key role of nuclear energy in achieving net zero goals worldwide. In this context, wanted to implement national projects and strategies to achieve the global goal of tripling nuclear power generation capacity by 2050 (taking 2030 as a reference) and to act to ensure that nuclear power plants are operated in security conditions. This paper examines the potential of Small Modular Reactors (SMRs) in Romania's energy landscape, considering the country's recent commitment to the Net Zero Nuclear Initiative and the goal of tripling nuclear capacity by 2050. The focus is on integrating new nuclear technologies, particularly SMRs, and modernizing existing facilities like the Cernavodă Power Plant. The study also explores the economic benefits, public perception challenges, and the role of European and American expertise in advancing SMR technology. For the first time, using specialized literature and data from public sources, the study aims to analyze the prospects for SMR projects developed in Romania to overcome two essential perspectives: capital costs and public perception in many communities where concerns related to nuclear safety, radioactive waste management, and potential risks associated with nuclear technologies exist.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Model Prediction XGBoost for Perspective of Closing Cernavoda Reactor 1
and the Impact on the Romanian Energy System
- 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.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Improving the Performance of Corporate Employees through the Use of
Artificial Intelligence: The Case of Copilot Application
- Abstract: In today's dynamic business landscape, the use of artificial intelligence becomes an important factor for companies to succeed. This research aims to see how Copilot application can help employees in their work environment. Microsoft Copilot application being an artificial intelligent tool which aims to be a teammate for each employee. There is a lot of research on how artificial intelligence can help users succeed in their work environment but there was still more to learn about how Copilot could help more specifically. Therefore, in order to find out more, we have used a survey and an interview in this scope. The survey was spread to 30 IT professionals and the interview was held with a support engineer to see how well Copilot worked for him. In the survey we looked at how Copilot could help people work faster, make better decisions, be more productive, and be happier at work. Whereas in the interview we looked at how useful Microsoft Copilot was in day to day activities in the workplace. For those interested to learn more about how Microsoft Copilot is changing the way we work, and how the Microsoft Copilot tool could help companies be more efficient, then the insights from this research provide an excellent foundation.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
The Dynamics of Trade in Vegetables in Romania
- Abstract: The aim of the study was to identify current and future trends in terms of trade in vegetables in Romania starting from the analysis of imports and exports of horticultural products. The results of the research highlighted a significant imbalance in the trade in vegetables at the national level. The net higher values of imports compared to those of exports indicated that Romania presented an increased demand for vegetables imported from countries such as: Turkey, Holland, Germany, Poland and Spain, compared to exported values. This situation led to the registration of a deficit in the trade balance, which increased by 104 million euros in the last 3 years. The forecasts made for 2032 indicated a continuous increase in imports, reaching one million euros. At the same time, an increase in exports was anticipated, which will tend to reach 175 thousand euros, reflecting an attempt to compensate for the current imbalance.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Improvement of Cyber Resilience by Implementation of a Digital Business
Continuity Management System: Evidence from Romania
- Abstract: This paper aims to present a model for increasing the cyber resilience of organizations. Under the business context when cyber incidents risk is the most important risk worldwide for organizations for the third consecutive year, the model proposes a solution for improvement of cyber resilience of organizations, by implementation of a management system based on Business Continuity Management framework and a related software solution for handling the Risk Management data, Business Impact Analysis, Emergency and Recovery Planning, as well as Cyber Crisis Management. The implementation of the digital Business Continuity Management System and Cyber Crisis Management processes is tested through a simulation of a cyber incident leading to disruption of activities and cyber crisis caused by a ransomware attack. The simulation is presented both as design and execution and it can be implemented in any organization having the Business Continuity Management System in place and an internal IT department. The results of the simulation bring evidence for the contribution of the study to the increase of the cyber resilience of the organization. The novelty of the study is represented by the mix of concepts and instruments brought together in the model through which the framework of Business Continuity Management is implemented by means of a dedicated software solution, facilitating steps towards the digitization of the management processes and increase of the organizational and cyber resilience.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Digitalization in Banking: Navigating the Effects of Automated
Decision-Making on Customer Experience
- Abstract: This study explores the impact of automated decision-making processes on customer experience within the banking industry, set against the backdrop of digital transformation. The objectives are to provide insights into how automated decision processes shape the contemporary banking experience and influence customer perceptions, acknowledging both the positive and negative implications for the evolving nature of banking services in the digital era. The literature review examined the contributions of the cited authors, generating a summary of information categorized into three parts: a comprehensive overview of the banking landscape in the context of digital transformation, brief considerations regarding automated decision-making processes and several insights into customer experience. The research methodology employed a questionnaire, encompassing both close-ended inquires and an open feedback section. The study was conducted for the Romanian banking system and had a sample size of 102 respondents. The gathered data was subsequently correlated and analyzed to evaluate the alignment of customer perception with the opportunities and challenges identified in the specific literature. This paper also tries to widen its relevance by facilitating practical applications of the research findings. Thus, in the result section, key considerations were formulated, targeting a more precise definition of automated decision-making processes in the banking industry, aiming to optimize the experience for the utilizing customers. The conclusion indicates that both strengths and weaknesses of automated decision-making processes in banking industry are of relevance in the perception of customers, as the questionnaire’s responses align in form and extend with the theoretical concepts identified in the relevant literature.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
A Bibliometric Analysis of Performance Management and Employee Well-Being
- Abstract: In light of the unprecedented challenges brought about by the pandemic and recent societal shifts, there has been a notable transformation in people's lives and needs. These changes have significantly impacted professional activities, posing new challenges in maintaining organizational commitment among employees. Consequently, there is a pressing need to transition from viewing performance management as a mere task to be completed, towards a process centered on employee motivation and professional development solutions, which are imperative for organizational success in the current climate.This study aims to critically examine performance management and employee well-being practices that are relevant in the contemporary context. The overarching goal is to develop a novel approach centered on addressing employees' needs to optimize organizational performance. To achieve this objective, the research methodology employs a bibliometric analysis leveraging insights from VOSviewer software. This approach entails a comprehensive review of specialized literature on performance management, alongside articles addressing the evolving needs and demands of employees. This analysis, by highlighting significant themes, relationships, and developing patterns, serves as a key tool for guiding future research efforts and informing organizational policies targeted at improving both performance outcomes and employee well-being.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Rules as Code in Telecommunication Industry: Routing in Fiber Optics
Networks
- Abstract: Rules as Code refers to the idea of creating and ratifying laws which can be easily encoded and accepted by computing systems, ensuring a truly digital mode of governance. Through this methodology of integrating machine-readable legislation into the governance process, all systems that involve the usage of laws can be transfigured into more agile forms, eliminating the degrees of separation that appear when normal legislation must be adapted into serviceable formats for various industries. In the context of engineering, the need to translate laws into actionable instructions is enhanced, especially with the advent of AI-tools, machine learning and large language models, which require proper, concise and relevant input data to ensure the output comes out as requested. The concept is extremely new - its research started a few years ago and currently; a number of states and universities are exploring methodologies to employ the concept of Rules as Code in both the lawmaking and project-making processes. In this scientific paper we endeavor to study the case of applying Rules as Code in the field of fiber-optic network design, in particular looking at the legislation which governs this process in Romania, and to interpret it through the aforementioned Rules as Code lens. Special interest will be given to practical implementations of the concept in this field, as the constraints that can be extracted through the implementation have an important impact in how network projects are developed. The results can lead to improved efficiency in the development of projects, considering the fact that interpreting the legislation and evaluating the network in regards to legislation compliance is one the most time and resource consuming parts of the overall process. The progress of Rules as Code ensures digital compatibility for citizen-centered services, governance and jurisdiction, being an essential step in the Digital Transformation.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
The Applicability of Some Machine Learning Algorithms in the Prediction of
Type 2 Diabetes
- Abstract: Type 2 diabetes is a metabolic disease that causes abnormal high levels of glucose in the blood. The pancreas is healthy, but the body doesn’t respond properly to its own insulin. The principal culprit is obesity, too much high fat tissue. So, measuring the body mass index or the waist circumference is a step to estimate the risk for this disease. Many people have no symptoms and the disease develops silently, causing serious problems with eyes, feet, heart and nerves. The prediction of diabetes is a very topical problem. In addition to medical guides, more and more machine learning models appear, trained on different databases. The purpose of these models is to predict diabetes, based on different parameters, not all of them coming from medical analyses. In the paper we present four diabetes prediction models, respectively based on the decision tree, support vector machine, logistic regression and k-nearest neighbors’ algorithms. All models are trained and tested on a database with approximately 65,000 records (divided into 70% for training and 30% for testing), which contains two blood markers (haemoglobin A1c and glucose), an anthropometric parameter (body mass index), age, gender and three categorical parameters (smoking status, hypertension, heart disease). We identify that Haemoglobin A1C and glucose are the most influential predictors. The models are evaluated in terms of accuracy score and confusion matrix and a ranking is presented at the end. The results obtained are very encouraging for all the presented models.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Mapping Organizational Performance Using Digital Technologies
- Abstract: The present article studies the importance of new technologies connected with today’s business environment. From small businesses to corporations, companies are adapting to new high-tech solutions to increase efficiency, productivity, and customer engagement. The increasing use of artificial intelligence, automation, and other digital media is changing the way businesses are conducted. One of the most significant advantages of technology in business is efficiency. Process automation and the use of advanced software can help companies to reduce costs and to optimize their operations. Technology can also improve the quality of products and services through the use of digital testing and quality control tools. Technological innovations such as artificial intelligence, blockchain, and the Internet of Things have made process automation possible and given companies new ways to manage their operations and expand their businesses. The authors highlighted the latest literature related to the analyzed fields, and at the same time, VOSviewer was used as a reinforcement and literature’ tool for the chosen keywords.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Impact and Challenges of SAPS on Romanian Agricultural Competitiveness
- Abstract: This study investigates the influence of the Single Area Payment Scheme on the competitiveness of the agriculture sector in Romania. It also evaluates the impact of SAPS on farm productivity by examining data collected from a thorough survey of Romanian farmers. The survey employed quantitative methodologies to examine a wide array of agricultural enterprises, aiming to offer a comprehensive perspective on the impacts of SAPS. The findings provide vital insights into how SAPS influences agricultural practices and economic outcomes in Romania.The study used statistical analysis to evaluate the impact of SAPS on important factors such as productivity, market positioning, and economic viability. It used the sample size formula n = (Z^2 * p * (1-p)) / E^2 to determine the sample size for the survey, where we estimated the proportion of the population with a certain characteristic (p) based on data collected from the Payments and Intervention Agency for Agriculture and the Z-score corresponding to the desired level of confidence. In this case, for a confidence level of 95% (Z = 1.96), a standard deviation of 0.5 and a margin of error of +/- 5% (E = 0.05), I estimated p at 0.5 (the characteristics of the researched population being quite heterogeneous, even if the size of the holding translates into the amount of the collected amount, nominal differences do not exist).Evidence suggests that Romania possesses one of the most extensive agricultural regions inside the European Union. However, the agricultural sector is marked by a fragmented organization, consisting predominantly of small-scale farms returning poor levels of productivity.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
A Bibliometric Analysis of Knowledge Dynamics and Open Innovation Process
- Abstract: The article investigates from an analytical perspective the relationship between knowledge dynamics and open innovation and their influence on today's business environment. The present study starts from the premise that the development of a fluid and constant flow of knowledge exchange outside the organization influences the processes of open innovation. Allowing the rapid adaptation of organizations to the new effervescent demands of the market and consumers. The addition brought by this paper represents a conceptual expansion of the need to understand the possible implications of external and internal knowledge, of a rational, emotional, or spiritual nature, on the processes of development of new strategies, products, and services. There is no substantial information available in the specialized literature about the two concepts, which highlights the need to develop more qualitative and quantitative research in this direction. Using the bibliometric analysis with VOSviewer software, the paper presents a series of results that can be further developed and analyzed. The first perspective highlighted by this study is the potential of emotional, rational, and spiritual knowledge to improve relationships with consumers as a result of implementing a constant flow of communication. This fact is supported by the symbiotic relationship between the role of knowledge dynamics in encouraging the exchange of knowledge between consumers and organizations that stimulates an open, transparent communication environment focused on continuous learning. The study also emphasizes the involvement of collaboration, adaptability, and dynamic capabilities to explore how knowledge dynamics influence and stimulate innovative culture.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
How Artificial Intelligence Can Influence Elections: Analyzing the Large
Language Models (LLMs) Political Bias
- Abstract: The rise of large language models (LLMs) such as ChatGPT and Gemini has raised concerns about their potential political biases and the implications for information dissemination and user influence. This study aims to measure the degree of political bias inherent in major LLMs by analyzing their responses to a standardized set of questions rating the quality and bias of popular news websites. Employing a systematic methodology, we queried both free and paid versions of ChatGPT and Gemini to rate news outlets on criteria such as authority, credibility, and objectivity. Results revealed that while all LLMs displayed a tendency to score left-leaning news sources higher, there was a notable difference between free and premium models in their assessment of subjectivity and bias. Furthermore, a comparison between the models indicated that premium versions offered more nuanced responses, suggesting a greater awareness of bias. The findings suggest that LLMs, despite their objective façade, are influenced by biases that can shape public opinion, underlining the necessity for efforts to mitigate these biases. This research highlights the importance of transparency and the potential impact of LLMs on the political landscape.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT
Triadic Models as a Complex Model:
- 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.
  PubDate: Wed, 03 Jul 2024 00:00:00 GMT

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