bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development System of Hierarchical Indicators for Analyzing and Measuring the Level of Growth of Information and Knowledge Economy
Authors: Aliyev Alovsat G. 
Published: March 2024

Abstract
The article substantiates the necessity to develop a system of indicators for assessing the level of development of the information and knowledge economy. Main methodological approaches regarding their development and analysis have been analyzed. Some recommendations have been proposed for eliminating existing problems in this field. A methodology has been proposed for calculating the Gross Domestic Product generated by information and knowledge. A composite index of information and knowledge-based economy, as well as corresponding hierarchic indices, subindices, and indicators, have been developed. General information on global indices characterizing the information and knowledge economy is analyzed. Some countries are rated on the development of the knowledge economy. Information is provided on sub-indices and indicators that affect the formation of some global ICT, innovation, and economic indices. The main and sub-indicators used in the calculation of global indices are identified. The current situation in Azerbaijan on some global indices is analyzed, and the country’s ranking on different indices on the formation of the information and knowledge economy is determined. A comparative analysis of the methods of measuring the level of information and knowledge economy is conducted. Features of the regional and sectoral approach to assessing the level of information and knowledge economy are explained. Innovation, science, and technology-intensive components of the information and knowledge economy are proposed. The interaction of the main indices and indicators that form the composite index of the information and knowledge economy is proposed. The structure of the composite index system is proposed in a multi-level form. A system of multi-level composite indicators integratively reflects the main level and the lower levels coming after it. Indicators’ system includes the main composite index and ten sub-indices of information and knowledge economy. The study presents the stages of successive formation of indicators and variables upon which main indices and sub-indices of information and knowledge economy functionally depend. 1st national level consists of a composite integrative index of the information and knowledge economy; initially 2nd level consists of ten indices, 3rd level consists of 83 sub-indices and indicators; 4th level consists of 320 macro/micro indicators. Directions of future research are identified based on indicators.
Conceptual Atlas of the Knowmad Literature: Visual Mapping with VOSviewer
Authors: Iliescu Andra Nicoleta 
Published: March 2024

AbstractThis research paper aims to contribute to the advancement of the knowmad concept understanding in the academic literature. The relevance of the knowmad worker is sustained by their skills and competencies aligned with the pre-announced requirements for competitiveness in the future business environment, where disruptive changes will become the norm. Knowmads are agile, flexible, determined, and overall resourceful to succeed. During COVID-19 pandemics, companies and employees worldwide have been facing one of the most disruptive events of our times that marked the acceleration of an already shifting paradigm: the migration from rigid work arrangements towards flexible ones. In the context where the knowmad worker assets are seen as the solution to a global crisis, and they continue to be seen as significant competencies for the future, we consider that a better understanding of the concept is currently required. This has been achieved in the present research project by conducting a systematic literature review, enhanced by text mining and scientific mapping analysis. Even though the notion of knowmad worker is relatively new in the knowledge management literature being presented by John Moravec only in 2008, novel research instruments are being used as an innovation factor. Considering the unprecedented access to information and advancements in conducting academic research, in the present landscape of the business research domain, new methods are available to structure and examine a body of literature. The text mining and scientific mapping analysis conducted with VOSviewer software version 1.6.16 is allowing us to identify meaningful insights about the knowmad concept, such as the (1) existing research gaps, the (2) future research directions – understood as the peaks and the valleys are defining our knowmad concept atlas – and (3) the research interest trends seen by this topic for the period between 2008 and 2021. To achieve this, a database derived from Web of Science’s core collection has been used, and the text mining based on term co-occurrence analysis contributed to a deeper understanding of current and future global workforce dynamics.
Telework in Romania. Current State and Sustainable Socio-Economic Effects of Its Development
Authors: Suciu Marta-Christina , Petre Adrian 
Published: March 2024

Abstract
The main purpose of this paper is to investigate the current stage of implementation of telework in Romania and to determine potential positive and sustainable effects generated by its development on a large scale. The research methodology used is based on descriptive analysis, comparative analysis, but also on econometric analysis. The general results obtained show that Romania registers a very low level of telework employees, this being influenced, not only by the low share of those with tertiary education and high skilled professionals, but also by the fact that most Romanian employees do not want to practice this type of work. The results also showed that telework can generate significant economic and social benefits. The potential solutions we have identified for the sustainable development of the telework phenomenon in Romania include investments in tertiary education and awareness campaigns among both employees and companies, regarding the positive effects that can be obtained through telework and business development.
The Impact of COVID-19 on Sustainability and Changing Consumer Behavior in the Textile Industry. Is it Significant?
Authors: Nahalkova Tesarova Eva , Krizanova Anna 
Published: March 2024

Abstract
Understanding consumer behavior and clearly predicting its subsequent direction is a complex process. We can often see significant differences between how a consumer behaves in a given market and what his attitudes, needs, or expectations are. It is very important to place much more emphasis on the area of consumer behavior than on the individual, to meet his needs and wishes as much as possible. In the following article, we conducted a survey in the form of a questionnaire on an online platform with a sample of 500 respondents from the Slovak Republic. The foundation of our study was to examine whether the COVID-19 pandemic, which is still a topical issue and it is a significant impact on daily life, has changed the shopping behavior in the clothing industry with which they consciously purchase. We were also interested in the dependence between income and frequency of purchase. The methods used in the paper were based on a theoretical elaboration of the issue of consumer behavior and the clothing industry as the second-largest polluter of the environment after the oil industry, subsequent analysis and synthesis. Another statistical method that we used in the paper was the analysis of qualitative data from the questionnaire survey through the creation of contingency tables and determining the dependence, respectively, independence between individual variables. We consider this article to be a good basis for further research.
Analysis of Internal Marketing Communication Tools of a Selected Company in Industry 4.0 Using McKinsey 7S Analysis
Authors: Michulek Jakub , Križanová Anna 
Published: March 2024

AbstractNowadays, many companies are aware of the fact that if they can meet the employees’ requests, provide them with sufficient information and quality working conditions, their work performance will be at a high level. As a result, employees can ultimately meet customer requests and the company can move forward. The issue of quality internal communication in companies is not just an issue of recent years. Many international companies are aware of this. However, the issue of internal communication still persists in smaller companies, which do not pay that much attention to it because they do not have enough funds or believe that they are not affected by this issue. This internal communication within the company must take place in both directions, which many companies forget. The observations and opinions of employees and their feedback on the actions of the company, individual managers etc. are also important. Companies should spend enough time just getting this connection from employees, which allows them to streamline individual processes and information gathering, but also the work skills of individual managers, who can increase their soft skills and help organizations work better. At present, which is marked by the COVID-19 pandemic, the need for quality internal communication is even more pronounced. The aim of this study is to analyse the company's internal marketing communication tools. The paper also targets to analyse corporate strategies, management styles, shared values of the company etc., through the analysis of McKinsey 7S selected global company, which operates not only in the Slovak Republic. The methods used for this study are McKinsey 7S analysis, deduction, synthesis, and comparison. Thanks to the McKinsey 7S analysis, the results showed that the company has a friendly climate with open communication and a socially oriented culture based on several shared values and management principles.
The Impact of Financial Liberalization on the Effectiveness of Monetary Policy in Algeria
Authors: Benarbia Rabia , Aiboud Kada 
Published: March 2024

Abstract
The objective of this study is to measure the impact of financial liberalization on the effectiveness of monetary policy in Algeria during the period 1970-2021 using the Autoregressive Distributed Gaps (ARDL) model and analyzing the implications of the financial liberalization policy on the monetary delivery channels as well. In the context of the liberalization of the financial sector, both channels of the exchange rate and financial assets play an effective role in transferring the impact of monetary policy to the real sector compared to the channels of interest rate and bank lending, with central banks relying on the use of indirect tools that depend on market forces to manage their monetary policy. The results of the study also concluded that the policy of financial liberalization represented in loans granted to the private sector as a percentage of GDP positively affects the effectiveness of monetary policy and enhances its ability as a tool to direct the economy towards achieving the goal of economic growth.
Public Debt Expectations: The More You Know about Public Debt, the Less Optimistic You Are
Authors: Ciocîrlan Cecilia , Stancea Andreea , Stoica Valentin 
Published: March 2024

Abstract
Macroeconomic expectations influence long-term output, investment, and employment through households’ behavior. Policymakers and politicians attempt to predict the behavior of citizens and voters. How individuals form expectations and perceive sovereign indebtedness brings into question public finance sustainability and incumbents’ credibility. Based on a cross-country survey in Central and Eastern European countries, we estimate several probit regressions to uncover the effects of economic knowledge on sovereign debt expectations. Robustness tests and additional control confirm the initial results. We find that knowledge about public debt increases the chances of forming negative expectations, while higher financial literacy tends to have the opposite effect. More specifically, individuals with higher public debt knowledge are 5.4 percentage points less likely to show positive expectations, while individuals with higher levels of financial literacy (interest rate and inflation knowledge) are approximately 3.5 percentage points more likely to form positive expectations. The results indicate that public debt expectations are driven by negative biases resulting from the lack of economic knowledge together with insufficiency in understanding economic causal mechanisms. Financial literacy programs could benefit from including information about macroeconomics in curricula. Improving individual abilities to understand macroeconomic mechanisms, including public debt, has the potential to influence expectations and shift behaviors towards desired policy outcomes.
Changes in Shared Decision-Making Roles and Perceived Stress in Syrian Refugee Parents Resettled in the Greater Toronto Area
Authors: Boulos Maria , Hynie Michaela , Spirling Shauna , Tamim Hala 
Published: March 2024

This study explored changes in shared decision-making roles (day-to-day, financial, and major life decisions) and their relationships to perceived stress among 148 Syrian refugee parents after resettling in Toronto using a generalized estimated equation model. Parents were categorized as “towards shared” decision-making for 20.3%, 23.0%, and 21.6% of day-to-day, major life, and financial decisions, respectively. In families where both parents were unemployed, those who “always shared” making financial decisions had significantly lower perceived stress than those “towards shared” (p = .02). Understanding the cultural contexts of gender roles and the impact of acculturation may help promote better post-migration strategies.
Role of Knowledge Accumulation In Estimating Public Budget In Iraq: A study in Public Budget Department/Ministry of Finance
Authors: Mohammed Mohammed D. , Al-Hafez Ali Abdul Sattar 
Published: March 2024

This research aimed to shed light on highlighting the role of accumulating knowledge in enhancing the accuracy of the general budget in the General Budget Department of the Iraqi Ministry of Finance. This research is based on a questionnaire and designed according to a set of scientific sources, and it was distributed to workers in the General Budget Department To the Iraqi Ministry of Finance. After relying on a set of statistical methods in analyzing the data, a campaign was reached from the conclusions that identified a strong positive correlation between the dimensions of knowledge accumulation, and the accuracy of the general budget estimate and based on these conclusions. Proposals were presented regarding the need to train workers in the field Preparing the general budget to increase their capabilities and expertise in their field of work.
التنبؤ بالفشل المالي للشركات دراسة تطبيقية لعدد من الشركات القطرية للفترة (2015-2019)
Authors: محمود لؤي علي 
Published: March 2024

هدف البحث الى التعرف على اهم الأدوار التي ممكن ان تؤديها نماذج التنبؤ بالفشل المالي وهي انموذج Altman، وانموذج Kida، وانموذج Sherrod، وهل يمكن الاعتماد عليها في الحكم على احتمالية الفشل المالي في المؤسسات الاقتصادية المدروسة؟ وتناول البحث عينة مكونة من (3) شركات قطريــة مدرجة في بورصة قطر وتعمل في قطاعات مختلفة للفترة المالية (2015-2019).
استعمل البحث الأساليب الوصفية التحليلية وتوصل لمجموعة من الاستنتاجات أهمها: تساهم نتائج التنبؤ بإعطاء صورة واضحة للوضعية المالية للمؤسسة، كذلك ان جميع الشركات المبحوثة بعيدة عن خطر الفشل المالي حسب نتائج انموذج Altman.
تحليل العلاقة التكاملية بين الإبداع الاستراتيجي وإدارة الوقت ودورهما في كشف الانحرافات باستخدام الشبكات العصبية الاصطناعية دراسة حالة في شركة أسوار الموصل الإنشائية
Authors: غزال لمياء محمد , صالح ماجد محمد , محمد أنمار هاني 
Published: March 2024

نهدف من خلال بحثنا الحالي الى تناول موضوعين على قدر كبير من الاهمية لكافة المنظمات سواءا الانتاجية او الخدمية في القطاعين العام او الخاص، باعتبارهما اداة للتميز والتفرد عن المنافسين إذا ما حسن استثمارها الا وهما الابداع الاستراتيجي وادارة الوقت، من اجل كشف الانحرافات باعتماد الشبكات العصبية الاصطناعية والتي تعد كادوات مهمة للابداع الاستراتيجي وتحديد مناطق الانحرافات في العملية الانتاجية من خلال تناول الوقتين المخطط والفعلي ومن ثم السعي الجاد لمعالجتها على وفق الاسس العلمية.
بموجب ما تقدم سعى الباحثون الى تناول هذين المتغيرين بالدراسة والتحليل من خلال دراسة الحالة في شركة اسوار الموصل للوقوف على أثر ابعاد الابداع الاستراتيجي في ادارة الوقت المخصص لاداء العملية الانتاجية على أكمل وجه، وبما يحقق للمنظمة المبحوثة بلوغ غاياتها واهدافها باقصر الطرق وأفضل اداء باعتماد الشبكات الاصطناعية. اذ تمحورت مشكلة الدراسة (هل هناك دور للإبداع الاستراتيجي وادارة الوقت في المنظمة المبحوثة في كشف الانحرافات بأستخدام الشبكات العصبية في شركة اسوار الموصل الانشائية؟).
توصل البحث من خلال منهج المعايشة الميدانية الى العديد من النتائج المسخرة لتقديم عددا من الاستنتاجات الميدانية كان اهمها ساعد نظام SPSS ادارة الشركة على كشف الانحرافات في ادارة الوقت والتي تحدث في العملية الانتاجية والبالغة 0.007 وهو انحراف ضئيل جدا، وتأتي هذه النتيجة حصيلة ابداعية للمنظمة المستمرة في مجال تخصصها بنجاح فضلا عن ان النظام الرقابي يحصن الشركة من أي خروقات في العمل ويجعلها اكثر امان من خلال التوثيق التام للأوقات المحددة في المشروع وسهولة الرجوع الى فترات المشروع بسهولة لتاتي المعالجات في ضوئها انيا بما يخدم توجهات الشركة وتحقيق اهدافها والتي استخدمت كمدخل لطرح عدد من المقترحات والية تنفيذها بما يخدم الميدان المبحوث والشركات المماثلة كان اهمها ادخال تقانات جديدة تساهم في عمليات التطوير والابداع والحد من الهدر في ضياعات وقت العمل.
Partisan media discourse and its impact on community security
Authors: Jawad Kazem Al-Khalisi  
Published: March 2024

The research deals with the media and its most influential role in societies in the world, and perhaps Iraq is among the countries in which democratic change and openness took place at the media level since 2003.
The absence of a firm censor has led to a state of media chaos prevailing in most areas and on a large scale, far from professional ethics. Particularly the media owned by parties and political blocks are establishing a political reality in which there are many problems that require objective and rational solutions from the relevant authorities to limit this conflict between partisan interest and the national interest, especially in a country that is witnessing fragmentation and the rise of sub-identities at the expense of national identity, and the rampant administrative and financial corruption.
The essence of the research is to seek to study this problem scientifically and to investigate the nature of the conflict that occurs in the discourse and performance of many ideological Iraqi satellite media channels that follow political parties, and to study the contents of their political programs realistically for the purpose of limiting the abuses that hinder the achievement of societal security and political stability. The conscious public must be involved, based on its understanding and life experiences, in political issues, so that there is a kind of harmony between the media, politicians, and the public.
Weakly supervised group classification
Authors: Бериков В.Б. , Кутненко О.А. , Пестунов И.А. 
Published: March 2024

В работе решается задача слабо-контролируемого обучения в постановке групповой бинарной классификации. Предполагается, что каждый объект выборки может включать набор подобъектов, относящихся к разным классам. Предлагаемый метод решения основан на выборе информативного признакового пространства и фильтрации обучающей выборки. Описывается применение разработанного метода для прогнозирования степени поражения участков головного мозга у пациентов с ишемическим инсультом по снимкам компьютерной томографии.
Weakly supervised learning implies possible uncertainty or fuzziness of the labelling. Current study addresses this problem using the formulation of group binary classification. It is assumed that each sample object may include a set of sub-objects belonging to one of two classes. Objects are described by a set of features; the predicted feature determines the degree to which an object belongs to the “positive” class. It is required to construct a decision function from the training sample to predict the target feature for new objects. The proposed method is based on the selection of informative feature space and filtering the training sample. Both the selection of informative features and the removal of noise observations are carried out on the basis of analysis of the local environment of objects. The degree of similarity between the object and the class is determined by the k nearest neighbours of the object, taking into account their degree of belonging to the target class. For an experimental study of the developed method, the real problem of analyzing tomography images of the brain to predict the degree of damage to its areas in stroke is solved. The results are compared with a number of known methods. A method for constructing a decision function for predicting the degree of belonging of an object to the target class has been developed. The results of an experimental study and comparison with a number of well-known machine learning algorithms (random forest, support vector machine, kNN) confirmed the efficiency of the method for solving the problem of predicting the degree of damage to brain areas in stroke patients. Unlike other similar algorithms, the proposed method allows establishing a set of the most informative features in order to improve the interpretability of the solution and reduce the effect of overfitting.
Analisis dan Kinerja Keuangan pada Perusahaan Manufaktur Subsektor Kosmetik yang Terdaftar di Bursa Efek Indonesia Periode 2015 - 2020
Authors: Ayu Laurenza Andrea Ayu Laurenza , Hazmi Shadrina , Dwiarti Rina 
Published: March 2024

Tujuan penelitian ini yaitu untuk mengetahui bagaimana pengaruh likuiditas, solvabilitas, dan struktur modal terhadap kinerja keuangan perusahaan manufaktur subsektor kosmetik yang terdaftar pada Bursa Efek Indonesia periode tahun 2015 – 2020. Populasi pada penelitian ini adalah seluruh perusahaan sub sektor kosmetik yang terdaftar di Bursa Efek Indonesia (BEI) pada periode tahun 2015 - 2020 dengan total 7 perusahaan dan diperoleh sampel sebanyak 7 perusahaan dengan metode purposive sampling. Metode penelitian yang digunakan yaitu metode kuantitatif. Teknik pengumpulan data menggunakan teknik dokumenter dan data yang digunakan merupakan data sekunder. Hasil penelitian menunjukkan bahwa secara parsial likuiditas yang diukur menggunakan proxy current ratio berpengaruh negatif dan signifikan terhadap kinerja keuangan, solvabilitas yang diukur menggunakan proxy debt to asset ratio tidak berpengaruh signifikan terhadap kinerja keuangan, dan struktur modal yang menggunakan proxy debt to equity ratio tidak berpengaruh signifikan terhadap kinerja keuangan perusahaan manufaktur subsektor kosmetik. Hasil penelitian menunjukkan bawa secara simultan likuiditas, solvabilitas, dan struktur modal berpengaruh signifikan terhadap kinerja keuangan.