Search

This study investigates the complex interplay between public sentiment, as captured through news titles and descriptions, and the stock prices of three major tech companies: Microsoft (MSFT), Tesla (TSLA), and Apple (AAPL). Leveraging advanced analytical methods including Pearson correlation, wavelet coherence, and regression analysis, this research probes the degree to which stock-price fluctuations can be attributed to the polarity of media sentiment. The methodology combines statistical techniques to assess sentiment's predictive power for stock opening and closing prices, while wavelet coherence analysis unveils the temporal dynamics of these relationships. The results demonstrate a significant correlation between sentiment polarity and stock prices, with description polarity affecting Microsoft's opening prices, title polarity influencing Tesla's opening prices, and a positive impact of title polarity on Apple's closing prices. However, Tesla's stock showed no significant coherence, indicating a potential divergence in how sentiment affects stock behavior across companies. The study highlights the importance of sentiment analysis in forecasting stock-market trends, revealing not only direct correlations but also lagged influences on stock prices. Despite its focus on large-cap tech firms, this research provides a foundational understanding of sentiment's financial implications, suggesting further investigation into smaller firms and other market sectors. [ABSTRACT FROM AUTHOR]

This study explores the potential of data science software solutions like Customer Relationship Management Software (CRM) for increasing the revenue generation of businesses. We focused on those businesses in the accommodation and food service sector across the European Union (EU). The investigation is contextualized within the rising trend of data-driven decision-making, examining the potential correlation between data science applications and business revenues. By employing a comprehensive evaluation of Eurostat datasets from 2014 to 2021, we used both univariate and multivariate analyses, assessing the percentage of companies that have e-commerce sales across the EU countries, focusing on the usage of big data analytics from any source and the use of CRM tools for marketing purposes or other activities. Big data utilization showed a clear, positive relationship with enhanced e-commerce sales. However, CRM tools exhibited a dualistic impact: while their use in marketing showed no significant effect on sales, their application in non-marketing functions had negative effects on sales. These findings underscore the potential role of CRM and data science solutions in enhancing business performance in the EU's accommodation and food service industry. [ABSTRACT FROM AUTHOR]

(1) Background: Since the current crises that has inevitably impacted the financial market, market prediction has become more crucial than ever. The question of how risk managers can more accurately predict the evolution of their portfolio, while taking into consideration systemic risks brought on by a systemic crisis, is raised by the low rate of success of portfolio risk-management models. Sentiment analysis on natural language sentences can increase the accuracy of market prediction because financial markets are influenced by investor sentiments. Many investors also base their decisions on information taken from newspapers or on their instincts. (2) Methods: In this paper, we aim to highlight how sentiment analysis can improve the accuracy of regression models when predicting the evolution of the opening prices of some selected stocks. We aim to accomplish this by comparing the results and accuracy of two cases of market prediction using regression models with and without market news sentiment analysis. (3) Results: It is shown that the nonlinear autoregression model improves its goodness of fit when sentiment analysis is used as an exogenous factor. Furthermore, the results show that the polynomial autoregressions fit better than the linear ones. (4) Conclusions: Using the sentiment score for market modelling, significant improvements in the performance of linear autoregressions are showcased. [ABSTRACT FROM AUTHOR]

Basically, ERP implies a policy that reflects what it means to think and act for the purpose of economic processes, and is therefore considered a strategic management solution. The new business model with process focused operations, increases productivity and meets the economic performance standards. The economic operational stages must be integrated in order to trigger workflows, to control the flow of information and to create connections between the organization, suppliers and customers. All this requires organizational changes, technological updates and, eventually, a new identity for the organization itself. The present paper proposes a specific approach to the procedures needed to perform the audit of integrated information systems. Concrete methods of undertaking audit operations for the financial accounting modules of integrated information systems are presented in the present work. [ABSTRACT FROM AUTHOR]

This paper presents how to use the Capability Maturity Model Integration (CMMI) in software engineering modeling processes. Any variation of CMMI, depending on the scope of application, can also be used to assess the process maturity of an organization. Regarding the Software Reliability Engineering (SRE) process, the activities in the SRE process have been briefly described, noting that the application of SRE in all software-based products leads to good control over the development process. [ABSTRACT FROM AUTHOR]

The paper presents the way in which modern enterprises work, compared to traditional ones. We are now talking about "smart" business and how they have changed the business world. The concept of computer system is also presented as part of the informational system, indispensable for carrying out an activity. Additionally, it is intended to provide IT solutions to business entrepreneurs to streamline their business and achieve good results in a short time. [ABSTRACT FROM AUTHOR]

This paper present the efficient development of propagation algorithms followed by the availability to easily employ certain commercial software systems, as well as the increase of the collaborative applications number have turned the Bayesian Belief Networks (BBNs) into attractive models for various fields researchers, as it has been used since the beginning of the 1990s. After two decades of studies, Bayesian Belief Networks were successful in developing models for fields like: artificial intelligence, medical diagnosis and computer networks analysis. [ABSTRACT FROM AUTHOR]

In the study of software, reliability is important to know the difference between error, defect and defection. This three terms are often confounds and, are often used with the same sense but they have different meanings. Usually, a defect occurs when system behavior moves off from the demands. The defect can be studied also by prism of failure operations, so is defined as an incomplete operation. The defect is the cause of lot of defections because the variety of inputs makes that the programs system behave in a different way. Defect cause the defection. Because software depreciates in other way than hardware, the software reliability stay constant in time if we don't operate changes in the source code or at the environment conditions level, inclusive at the user behavior. However, if every time when a defection was rectified, and the defect that was the main cause is eliminate, then reliability will increase in ratio with time. This is a usual situation for the probation phase. [ABSTRACT FROM AUTHOR]

This paper presents the OGSA - Open Grid Services Architecture, describes the basic SOA standard of distributed Grid architectures, highlighting the architecture of the OGSA standard. There are issues related to the mobility and security of the OGSA framework, as well as the evolution of technologies involved in applying the OGSA standard to P2P environments. Grid services are described as an extension of Web service technology. In addition, the transition from the OGSI standard to the WSRF standard, is the successive implementations of the OGSA framework, is described. This also addresses the OGSA environment security issues for distributed architectures, discussing recent initiatives to create a specific and tailored OGSA environment for Web applications and security requirements specific to this transition. [ABSTRACT FROM AUTHOR]

The present paper presents both theoretically and practically a new computer model, currently developed only at the conceptual and analytical level. It is a web application called Investor's Valuation, which is in fact a way of evaluating securities listed on the BVB(Bucharest Stock Exchange) using a relational database for storing information. [ABSTRACT FROM AUTHOR]

In this paper I studied the theoretical aspects related to the behavior of shop choices and the purchasing behavior of consumers. We have divided the paper into three chapters, as follows: In the first part we studied the relationship between consumer and marketing strategy, focusing on the concept of behavior, on the role of the study and the behavioral models. In the second part I studied behavioral theories focusing on behavioral analysis and influence on the decision making process of the shop, and in the third part I studied the behavior of choosing the shop focusing on buying motivation and purchasing behavior . [ABSTRACT FROM AUTHOR]

In this article entitled "PROPOSAL ON THE LABELING OF A NEW PRODUCT UNDER A NEW MARKET", I wanted to know the impact of placing a product on the market of the people questioned. The study was divided into two, ie: in the first part I made a presentation on the studied society and in the second part I made a mathematical model to see if the company will profit or not after the launch of the wifi internet. [ABSTRACT FROM AUTHOR]

This article titled "RELATIONSHIP BETWEEN CONSUMER BEHAVIOR AND MARKETING STRATEGIES" has been divided into three parts. In the first part we studied the concept of marketing with a special focus on consumers, consumers who can be: individual and organizational. In the second part we studied the role of the behavioral study emphasizing the marketing strategy and its success, and in the third part we studied the behavioral patterns. [ABSTRACT FROM AUTHOR]

The paper titled "Marketing in Virtual Space" was divided into three parts. In the first part we studied the marketing strategy and mix in virtual space, focusing on the set of variables that are controlled by an organization. In the second part we studied the concepts of branding, branding, online branding and e-branding with the similarities and differences between them, and in the third part we studied the cibermarketing-specific indicators and the general characteristics of the performance indicators. [ABSTRACT FROM AUTHOR]

A Business Intelligence solution concerns the simple, real-time access to complete information about the business shown in a relevant format of the report, graphic or dashboard type in order help the taking of strategic decisions regarding the direction in which the company goes. Business Intelligence does not produce data, but uses the data produced by the company's applications. BI solutions extract their data from ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), HCM (Human Capital Management), and Retail, eCommerce or other databases used in the company. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to demonstrate that it is possible to develop business intelligence projects in big and medium-size organizations, only with Microsoft products, used in accordance with standard OLAP cube technology, and presented possible alternatives, in relation with the requested functions. [ABSTRACT FROM AUTHOR]

The objective of this paper is, on one hand, the brief presentation of the significance of the business intelligence term in big and medium sized enterprises, and, on the other hand, the capitalization and implementation of business intelligence with the aid of the Microsoft platform. With the help of the presented standards, a real business intelligence model comes to life and based on this model the functions of the Microsoft SQL Server 2008 product are highlighted. This paper shows how enterprises make better and faster decisions in what concerns the clients, the partners and the operations through the transformation of data into valuable business information. In the end, it is described the way in which are brought together - with the aid of business intelligence information - people and technology, in order to obtain successful business strategies. [ABSTRACT FROM AUTHOR]

In this paper there are presented application modules which could be important and possible only for a particular business model, or which, in the meantime, can become important for entrepreneurs and young companies. The "can have" application modules can but do not have to be the IT part of a young or a start-up company from the very beginning. Each module must be evaluated, and it must be established if it is immediately necessary for the business or it can be implemented later. [ABSTRACT FROM AUTHOR]

In this article I will start in the first part with an introduction to unsupervised learning methods, specifically the K-Means clustering algorithm, the algorithm achieved using the Euclidean distance. In the second part, we modified the K-Means algorithm, which is to say, I realized it with the help of Hamming, and then we compared the clustering time, and we made a parallel between the two algorithms (the K-means algorithm conducted with the Euclidean distance and the algorithm K-Means achieved using the Hamming distance). [ABSTRACT FROM AUTHOR]

In this paper there are presented the main modules of some applications that represent the future of IT for start-up businesses, depending on what is essential, compulsory and important for this type of businesses. IT applications modules, described in the following paper, definitely belong to the IT department of any new business. The basic applications that any company obligatory needs are: office software, financial-accounting applications, online banking and so on. Only in exceptional cases, the giving up of certain modules, which are specific to "must have" applications, should be taken into account, such as certain marketing activities on the internet. In this paper the word, "start-up" does not refer to "start-ups" in IT. This paper is about those people who want to start a business, those who are at the beginning and have nothing to do with the IT sphere. [ABSTRACT FROM AUTHOR]

The accounting area, like other industries, has experienced many changes over time, which contributed to develop the procedures and the activities as well. Living in the information age, when the data streams are increasing, it becomes inevitable the computerization of accounting, in order to simplify the operations and ensure data security. This paper proposes a computer model consisting only of open source products aimed at the development of accounting activities in micro, small and medium enterprises. Thus, this model proves that open source products are the ideal solution for SMEs to provide accounting services costs close to zero. [ABSTRACT FROM AUTHOR]

The main idea illustrated in this paper, highlights the importance of a multidimensional database in management accounting software, more precise in providing relevant information for the analysis of the economic costs of goods. This paper presents both theoretically and practically, a new database model that is currently developed only at the conceptual level. A multidimensional database is, in fact, a new technique for modeling data from a relational model. In IT area this database is known as OLAP technology or data cube, based on the number of dimensions that the database could achieve. In comparison with a relational database, the multidimensional model brings to its side significant advantages for the management system, through the data that is provided. [ABSTRACT FROM AUTHOR]

This paper present the stages by which we associate a formal language of a economic process. It proposes the use of a mathematical model, described as a graph, for the specification of business processes such as: investments, organization of production, activities of economic analysis. It deals with those economic problems that may be put into formal practice when there is no possibility of using one of the known techniques, or when we are modeling a business process, a manufacturing process etc. [ABSTRACT FROM AUTHOR]

In our challenging economical environment, company's biggest problem is the proper management of financials, assets and resources. Even if all resources types are important, the most important one is the human resources, which are hard to find, train and maintain. Thus, our research direction is in providing a highly reliable and secured HR application designed as being a distributed, web-based, enterprise application. This paper aims to identify characteristics of distributed applications and their compatibility with the set of utilities provided by the Java language. The importance is justified by the need to use appropriate technologies based on projects specifics. Theoretical foundations are described; latest technologies and latest economical specific standards are used to develop distributed applications; with respect to HR Warehouse application for human resources management. The presented features are the most important ones regarding the distributed application development in terms of cutting costs during the entire application life cycle. [ABSTRACT FROM AUTHOR]

The article aims to provide a perspective on economic growth by relying on the influence and use of the stock market as an economic lever. Two methods will be used: a quantitative one, determined by a multiple linear regression model, and a qualitative one that encumbers a sustainable vector model for generating economic growth. The data panel covers 36 states, for a period of 21 years. The paper manages to identify the main control functions that the stock exchange has over the macroeconomic context, through the quantitative and qualitative method, and to highlight the most important positive and negative attributes of using qualitative methods, in contrast to quantitative ones. The results show a predominant probabilistic characteristic of quantitative methods, in contrast to the flexibility and complexity of the qualitative method, which has been used. Additionally, the quantitative method offers a strictly cartesian perspective for determining future scenarios, while the sustainable vector model, based on a fractalized vision of reality, manages to capture a plurality of perspectives, as well as the interrelationships between the determining parameters, thus being a complex system of simple equations, as opposed to the quantitative method which is defined as a simple system of complex equations. [ABSTRACT FROM AUTHOR]

Medical assistance is an important industry with which we all interact one moment or another in our life. Medical system is all known for the fact the use the latest technologies and for embracing the newest scientific discoveries in finding new treatments and new ways in prevention methods for death causing diseases. With all this advantages, global medical industries and especially in the USA, it was extremely slow in adopting technology oriented to the need of a good administration and management. Currently the medical system is confronted with many problems, national and international, including rising prices, a tendency towards a preventive environment and with high expectation patients towards technology. Health Management Information Systems focused on the application of IT to replace manual clerical and information-processing tasks as well as to automate information flow models used to simulate well-structured (and not-so-well-structured) organizational and managerial activities in health care. The pieces of the health management information systems (HMIS) puzzle were put together to offer the reader a comprehensive view of how IT can be applied in health care organizations to facilitate efficient operational and tactical planning, administration, and evaluation. [ABSTRACT FROM AUTHOR]

This study examines the integrity of financial statements within the Romanian gambling and betting industry, employing Benford's, Zipf’s and Universal Law and distribution distances tests. Data from the financial statements of active gambling and betting companies in 2013, classified under NACE code 9200, were analysed The primary focus was on the absolute values of declared gross profit or loss. Our analysis involved visual inspections, Chi-square tests, and the application of Zipf’s and Universal laws for distribution conformity. Results indicated that the empirical distributions of the first and second digits, as well as the combined first two digits of gross profit or loss, align with Benford's Law. Surprisingly, the distribution did not conform to the expected Zipf’s type but instead followed the specific pattern of the Universal law. Furthermore, while the Zipf’s model was not a fit, the Universal law effectively captured the distribution of the reported financial data, suggesting a power-law concentration of gross profit values in the industry. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of social media on entrepreneurial opportunity recognition. Combining the internal and external approaches of opportunity recognition, the study analyzes how social media influences the entrepreneurs in discovering new entrepreneurial opportunities. Structural equation modeling was used in this study, using the variance-based partial least squares (PLS)–structural equation modeling (SEM), on a sample of 354 entrepreneurs. We concluded that social media directly and positively influences entrepreneurial opportunity recognition while entrepreneurial alertness (internal approach) and social networks (external approach) partially mediates its indirect effects on entrepreneurial opportunity recognition. The study contributes to the existing literature by bringing new insights into the entrepreneurial opportunity recognition process by focusing on a poorly represented factor in the literature, social media. [ABSTRACT FROM AUTHOR]