Weak Identification Research Articles

UKRAINE'S POSITION IN INTERNATIONAL RANKINGS ASSESSING THE LEVEL OF DIGITAL DEVELOPMENT OF COUNTRIES

In recent years, the utilization of digital technologies and the promotion of a country's digital development have emerged not only as a strategic necessity but also as a key determinant of its competitiveness on the international stage. The article extensively scrutinized the Digital Competitiveness Index, assessing Ukraine's position within the overall index. Additionally, it evaluated the significance of its components, such as knowledge, technology, and future readiness. The subfactors were also analyzed, allowing the identification of strengths and weaknesses in Ukraine's digitization process. Furthermore, the Digital Economy and Society Index and the Ease of Doing Digital Business Index were examined, both of which do not evaluate Ukraine's developmental level according to the specified indicators. Additionally, the ICT Development Index, which has not been evaluated since 2018, was explored. The obtained results could be utilized in constructing a business process transformation strategy, identifying priority areas, opportunities, and obstacles for the integration of digital technologies into enterprise operations.

The identification environment matters: Students' social identification, perceived physical school environment, and anxiety - A cross-level interaction model.

The social identity approach to health argues that well-being depends on the psychosocial circumstances of the groups to which individuals belong. However, little is known about how the average level of identification in the group - 'the identification environment' - buffers the negative health consequences of stressors. We used multilevel modelling to investigate whether identification environment in a school modified the association between the students' perceptions of the quality of their school's physical environment and their reported levels of anxiety. In two representative samples of Finnish school students (N = 678 schools/71,392 students; N = 704 schools/85,989 students), weak identification environment was related to increased anxiety. In addition, in schools where identification environment was weaker, the student level relationship between perceived physical environment and anxiety was stronger, and students were more anxious. Our results provide evidence that identification environment needs to be considered when we analyse how group membership affects well-being.

Learning to drive with neurological conditions: profile of users of an adapted driver training program and cognitive factors associated with success

Purpose To describe the sociodemographic and cognitive profile of participants enrolled in an adapted driving program for individuals with neurological conditions, to explore the association between cognitive functioning and driving program outcome, and to describe driving habits after program completion. Methods This study combined retrospective chart review and cross-sectional data collection. Results The sample included 71 participants with neurological disorders (aged 15–56 years, M = 22.2 ± 8.6; 39% women). Driving program was either successful (47%), failed (7%), discontinued (34%), or ongoing (13%). Among 35 participants with complete neuropsychological and driving program outcome data, those who successfully completed the program showed better attention functioning, and better performance relative to global functioning for attention, executive functions, and working memory, compared to those who discontinued/failed the program. Among 21 participants who completed a telephone questionnaire on average 3.7 years after program enrollment, 67% obtained their driver’s license and drove regularly. Participants reported high levels of satisfaction with the program. Conclusion These results suggest that approximately half of the persons enrolled in a driver training program designed for learners with neurological conditions, obtain a driver’s license; and that attention, and to a lesser extent executive functioning and working memory, are related to driving program success. IMPLICATIONS FOR REHABILITATION In individual with neurological conditions, learning how to drive can be challenging. An adapted driver training program, involving collaboration between driving instructors and healthcare professionals, simplification of theoretical learning, and increasing driving practice opportunities, can be effective, both in terms of licensing success and client satisfaction. Conducting a pre-driving program neuropsychological assessment, with identification of cognitive strengths and weaknesses, can provide valuable information for clinicians and driving instructors for optimizing training and predicting outcome. Better performance in attention, and better relative to global cognitive functioning in attention, executive functions, and working memory, are related to higher success rate of an adapted driving program.

Correlating Decision Theory with Cyber Threat Intelligence: Novel Perspectives

An organization, with the help of cyber threat intelligence framework, can protect itself from the cyber threats. The stakeholder cyber safety is paramount and such intelligence frameworks help leveraging the business value of its intellectual properties. Events related to securing the cyber aspects of an organization are possible by connecting it with essential features of decision theory. Few assumptions are made pertaining to descriptive, prescriptive and normative decision theory which help in identification of cyber weakness and security loopholes of an organization. This study extracts novel viewpoints from the strongholds of decision theoretical models and propagates decisions on how to face the cyber-attacks.

Assessing the Maturity Level of Risk Management in IT Projects

The purpose of the article is to determine the maturity level of risk management in IT projects. To achieve this goal, the most popular risk management maturity models were analyzed. This analysis allows the identification of methods and mechanisms for determining maturity levels, the identification of strengths and weaknesses for each model, and the study of findings obtained from their use. Based on the data obtained, the author’s risk management maturity model in IT projects was developed and tested, considering the strengths and weaknesses of the analyzed models. Based on the analysis results and empirical data, it was found that the application of the created model allows the determination of the current maturity level of risk management in IT projects, the identification of these projects’ management problems, and the development of recommendations for increasing the level of management. The results have shown that the transition to the Standardized maturity level eliminates 105 universal risks and significantly increases the chances of successfully achieving the designed goals. In addition, it was found that the evaluation of the risk elimination effectiveness and efficiency and the best risk management practices identification and standardization are the main processes that ensure the transition to higher maturity levels. The obtained results suggest that the created author’s risk management maturity model in IT projects can become a tool for identifying the best contractor (performer, supplier), which guarantees the development of the desired IT product.

Deteksi Intrusi Siber pada Sistem Pembelajaran Elektronik berbasis Machine Learning

This study aims to develop a mechanism for detecting machine learning-based cyber intrusions in electronic learning systems. In today's digital era, e-learning systems have become an integral part of education and training, providing global accessibility and more interactive learning efficiency. However, security and privacy challenges are becoming critical issues due to the increasingly real threat of cyber intrusion. Attackers try to take advantage of vulnerabilities and weaknesses in e-learning systems to steal sensitive data or disrupt operations. To overcome this problem, this study focuses on the use of artificial intelligence technologies, especially machine learning, to proactively detect and respond to intrusive threats. Through e-learning security analysis, identification of weaknesses, and potential loopholes for cyber-attacks, the most suitable machine learning algorithms are selected to detect patterns and signs of intrusion attacks on network data. The evaluation results show that several machine learning algorithms, such as SVM and Decision Tree, have good performance in recognizing cyber intrusions with high accuracy, precision, recall, F1-score, and ROC-AUC. By implementing machine learning-based intrusion detection technology, it is expected that electronic learning systems can be more proactive in identifying and responding to intrusion threats before significant damage occurs. This research has significant benefits in increasing security and privacy in the use of electronic learning systems. In addition, this study is expected to be a reference for further research in the world of cyber security and the application of artificial intelligence technology in supporting digital security.

A hybrid DEMATEL and social network analysis model to identify factors affecting learners' satisfaction with MOOCs

Massive Online Open Courses (MOOCs) offer free access to training in various topics in all fields. However, the low percentage of course completion by learners is a significant challenge for these platforms. Previous studies on this challenge have investigated user behavior and concerned topics in discussion forums, but these data are mostly momentary and cannot be used for long-term improvement. Thus, this study aimed to address this gap by analyzing learners' comments to identify the factors affecting user satisfaction and prioritize them to improve MOOC platforms. The purpose was to analyze the feedback and actual experiences of users shared through their comments on MOOC online platforms to explore factors affecting user satisfaction to optimize MOOC platforms. To achieve this, sentiment analysis and topic modeling techniques were applied to the user feedback on courses with popular topics, such as Skills for Data Science Teams and Data-Driven Decision Making, available on Coursera.com. The study used DEMATEL analysis, which uses a relation matrix of factors to rank them based on their interrelationships, and network analysis to prioritize the factors that should be improved to achieve the highest user satisfaction. The effect of the proposed approach was investigated through a case study on a course from Coursera. The findings demonstrate that the suggested method has the potential to assist MOOC platforms in several ways. Firstly, it enables the identification of course strengths and weaknesses. Secondly, it allows for the identification of factors that influence learner satisfaction by analyzing user feedback. Lastly, it aids in prioritizing the factors that should be enhanced to attain optimal user satisfaction, thus leading to overall improvement in the status of the MOOC platform.

Information crimes as one of the obstacles to institutional communication on the Gulf Cooperation Council

Abstract: The global nature of the digital space combined with weak identification of users, insufficient attribution of actions, the complexity of internationally deployed services, the global development of social networking sites, and emerging international crime markets all raise serious concerns about the rise in cybercrime and thus the sustainability of a stable society as a basis for personal development and economic prosperity, and the weak societal infrastructure for technology Information, communications, and the unlimited collection and storage of data threaten personal freedom and international stability. Citizens’ trust in society and government to protect their security, safety, and prosperity is eroded by the risks and uncertainties arising from technological developments, with the heavy economic losses that this entails. This study aims to understand cybercrimes and the statement of the resulting crimes. Therefore, urge urgently to find a strategy to address these problems based on a coherent analysis of technological, societal, economic, and political trends and consequences. Keywords: Cybercrimes, Institutional Communication, Networking

Going Beyond L2 Learning －The Effects of Self-Assessment on Student Metacognition, Self-Regulated Learning and Self-Reflection

This study aimed to examine the benefits of self-assessment in second language (L2) learning, specifically focusing on metacognition, self-regulated learning, and self-reflection. Sixteen university students from D. University voluntarily participated in the study after completing an online English (L2) presentation course in either 2020 or 2021. The participants' proficiency levels varied from beginner to intermediate.By conducting in-depth interviews and employing thematic analysis to explore participants' perspectives and experiences, the study uncovered a profound recognition of the significance of self-assessment in relation to metacognitive abilities and personal growth. The findings underscored the transformative impact of self-assessment on L2 presentation skills and metacognition. Assisted by a specifically designed rubric, these effects encompassed a comprehensive understanding of preparation requirements, identification and improvement of strengths and weaknesses, and heightened engagement and progress in the learning process.Additionally, students highlighted the positive influence of self-assessment on self-regulated learning. They explained that self-assessment served as a motivator for diligent preparation, the timely completion of tasks, improved time management, and persistent efforts to enhance their performance. Moreover, students demonstrated a proactive mindset by taking ownership of their learning, setting goals, monitoring their progress, and adjusting their strategies accordingly.Lastly, students expressed a keen recognition of the significance of self-assessment, acknowledging its unique potential for objective self-reflection. They recognized that this benefit of self-assessment, followed by teacher feedback, could reach beyond the scope of their presentations and influence various aspects of future disciplines and contexts that would be essential for life-long learning.These benefits suggest that combining self-assessment with detailed rubrics and precise teacher feedback enhances its value, thus fostering dynamic, learner-centered L2 education.

Valuation of Plastic Waste as a Community Circular Economy Strategy in the Municipality of Choco–Colombia

A business solution is proposed for the accumulation of waste in the Municipality of Choco without prior treatment through the establishment of a center for the reception, classification, recovery and use of solid plastic waste in the Municipality of Quibdo, which would optimize and expand the management of plastic waste. In this study, the basic diagnosis of the practices that are currently carried out in Quibdo is evaluated with the appropriation of the knowledge of the population, the technical structuring of the conditions of production of plastic wood is carried out from the management of plastic waste, recognition of the market for waste generated as an alternative for development and sustainable growth and the financial feasibility of the project and the profitability of each of the investment plans for its implementation. The results of the investigation include the identification of weaknesses and opportunities in waste management practices and the proposal of two investment plans for the establishment of the center. It is concluded that investment plan 2 would require 46,590.50 USD less than investment plan 1, equivalent to a 2.21% return compared to investment plan 1.

SWOT Analysis and Marketing Mix 4P Model as a Method to Develop Strategic Plan for Newly Marketed Agricultural Corn Seed Product

The Province of Sumatera Utara is one of the corn producers in Indonesia. Demand for agricultural products especially corn and corn products keeps steadily increasing. The use of quality seeds will certainly be able to increase the yield productivity of corn farmers to fulfill the increasing demand. In the observed company object, the newly marketed NK corn seed product faces various strategic obstacles. By considering several things such as not achieving sales targets for similar products in the past, changes in environmental conditions after Covid-19, and competition with products that existed on the market, it is necessary to have a strategic plan for marketing this product. A method that can be used to identify the marketing conditions that will be faced by the newly marketed product is SWOT analysis with a focus on the 4P marketing mix model. With this method, the identification of Strengths and Weaknesses is carried out together with the company’s internals, while the identification of Opportunities and Threats is carried out with company stakeholders and product users. Followed by, determining the appropriate type of strategy used by using the Internal Factor Analysis Strategic (IFAS) and External Factor Analysis Strategic (EFAS) Matrix analysis procedures. The results obtained are in the form of recommendations for strategic plans that need to be implemented to win the market competition and achieve the expected targets. Another result gives the hint that the strategic plan recommended also brings socio-economic impact to the farmers.

EVALUATING THE IMPACT OF CAMEL RATIOS ON THE EFFICIENCY OF SELECTED INDIAN BANKS

The downfall of banks and financial institutions and the freezing of capital markets during the global financial crisis of 2007–2009 had a significant influence on the actual economy across the world. This crisis has made it apparent how crucial stability risk is and has emphasized the significance of performance evaluation. For the policy formulation and framing of strategies, it is essential to identify the sound and weaker aspects of the banks. Various ratios based models have been developed for the analyses of the banking sector, which helps in identification of strength and weakness of the banks. This study makes use of the CAMEL Model to analyze the different aspects of performance and soundness as well as the impact of the CAMEL ratios contributing to the efficiency of the selected public and private sector banks for the period of 17 years from 2005-2006 to 2021-2022. Based on the composite rating of the CAMEL Models, It has been found that HDFC bank Ltd. shows excellent performance. The study concluded that In order to be more efficient, selected public sector banks should concentrate on the value of NPAs and Liquidity and at the same time, these banks should pay attention to the Earnings Quality but not by compromising the efficiency of earnings while the selected Private sector banks should take proper steps to improve the operating profit, net profit, total interest income and net interest margin for becoming more efficient.

Construction And Application Of Evaluation Index System For Pharmaceutical Supply Chain Resilience: A Delphi Study

The present study outlines a methodical methodology for developing an assessment index framework aimed at enhancing the resilience of the pharmaceutical supply chain. A preliminary version of the evaluation index system was established through a comprehensive review of literature and panel discussions. Two rounds of expert consultation were conducted using the Delphi method to finalize the indicators and their corresponding weights. The assessment criteria for pharmaceutical supply chain resilience comprises of ten primary indicators and sixty-two secondary indicators. These indicators encompass various facets such as the ability to design the supply chain, reserve resources, integrate processes, collaborate effectively, adopt eco-friendly practices, visualize data, and foster a culture of learning. The outcomes of the consultation conducted with experts reveal that the evaluation index system is reliable, as it demonstrates a significant level of attention, coordination, and authority among the experts. The determination of the weight of each indicator in the system was based on the relative significance of various factors in augmenting the resilience of the pharmaceutical supply chain. The development of an evaluation index system offers a systematic approach to evaluate and enhance the resilience of pharmaceutical supply chains, thereby providing a valuable scientific instrument. The results of this study hold potential value for various entities within the pharmaceutical industry, such as pharmaceutical companies, policymakers, and other stakeholders. Specifically, these findings may aid in the identification and resolution of potential weaknesses within the supply chain, the enhancement of management practices, and the fortification against external disruptions. Prospective investigations may center on the implementation of the assessment index system in practical scenarios, scrutinizing its soundness and dependability, and investigating methods to consistently enhance the robustness of pharmaceutical supply chains.

“The European family? Wouldn’t that be the white people?”: Brexit and British ethnic minority attitudes towards Europe

ABSTRACT Though ethnic minorities were significantly more likely to vote to Remain in the European Union in the 2016 Referendum than the white British, there has been scant analysis of ethnic minority attitudes towards the EU. Using focus group and interview data, this article analyses support for EU membership and Euroscepticism among British ethnic minorities. As the Leave campaigns drew criticism for anti-immigration messages, the article demonstrates how ethnic minority Remain support was more a vote against Brexit. Whilst Remain was framed as the progressive, even anti-racist alternative to Leave, ethnic minority Brexiteers criticized the EU’s border politics of free movement for (white) Europeans while borders around Europe are fortified and policed. The article finds weak identification with Europe among ethnic minority Remain and Leave voters, with perceptions of “European” as a white identity, other European countries as more racist and Islamophobic than Britain, and Europe itself a white racial formation.

Impact of Specialty on Cases Performed During Spine Surgery Training in the United States

Two general pathways exist for spine surgery training in the United States: orthopedic surgery and neurological surgery. Previous studies have not quantified the impact of fellowship training when comparing case volumes between these 2 training pathways. This study compares reported spine surgery case volume upon graduation from orthopedic surgery and neurological surgery training. This was a retrospective cohort study of recent graduates from orthopedic surgery and neurological Surgery training programs in the United States (2018-2021). The Accreditation Council for Graduate Medical Education provided case logs for residents in neurological surgery and orthopedic surgery as well as fellows in orthopedic spine surgery. Case volumes were compared for adult and pediatric spine surgery cases using parametric tests. Case logs from 3146 orthopedic surgery residents, 107 orthopedic spine surgery fellows, and 766 neurological surgery residents were included in this study. Across each cohort, neurological surgery trainees reported more total adult spine surgery cases than orthopedic surgery trainees (514±206 vs. 383±171, P < 0.001). Orthopedic surgery trainees reported more total pediatric spine surgery cases (21±14 vs. 17±12, P= 0.006). Neurological surgery training affords a greater volume of adult spine surgery cases, but orthopedic surgery affords more pediatric spine surgery cases. Identification of relative strengths and weaknesses can help facilitate multidisciplinary training experiences in spine surgery.

MODERN APPROACHES TO THE FORMATION OF THE COMPANY'S HR STRATEGY

MODERN APPROACHES TO THE FORMATION OF THE COMPANY'S HR STRATEGY

International benchmarking of railroad safety data systems and performance – a cross-continental case study

Rail safety is a universal goal that every railroad system pursues. Comparing rail safety performance allows the identification of relative system strengths and weaknesses and potential adaptation of risk mitigation strategies from one railroad system to another. Achieving this requires comparable data from the railroad systems to be analyzed that are available and with high resolution so that fair comparisons can be established. This paper presented an international benchmarking framework for railroad safety-related data system and safety performance. A novel and standardized methodology was developed to collect railroad safety-related data sources among different countries and compare their data completeness and resolution. Six countries with high data availability and transparency were selected to demonstrate the benchmarking framework. High-level rail safety performance measures were derived and compared among these countries. The results showed that there are inconsistencies in the resolution of different types of rail safety data among the six countries. The countries that had the lowest and highest overall accident rate, grade crossing incident rate, and other safety performance metrices were identified. This research provided valuable insights into how railroad operators can improve their railroad safety-related data system and safety performance by benchmarking with other railroad operators to make the most efficient use of risk mitigation resources. The study also highlighted the importance of providing publicly available railroad safety-related data for the mutual benefits of overall safety of railroad systems around the world.

A framework of interpretable match results prediction in football with FIFA ratings and team formation.

While forecasting football match results has long been a popular topic, a practical model for football participants, such as coaches and players, has not been considered in great detail. In this study, we propose a generalized and interpretable machine learning model framework that only requires coaches' decisions and player quality features for forecasting. By further allowing the model to embed historical match statistics, features that consist of significant information, during the training process the model was practical and achieved both high performance and interpretability. Using five years of data (over 1,700 matches) from the English Premier League, our results show that our model was able to achieve high performance with an F1-score of 0.47, compared to the baseline betting odds prediction, which had an F1-score of 0.39. Moreover, our framework allows football teams to adapt for tactical decision-making, strength and weakness identification, formation and player selection, and transfer target validation. The framework in this study would have proven the feasibility of building a practical match result forecast framework and may serve to inspire future studies.

Analysis of Competitive Strategies in Micro Credit Marketing at BANK BTPN Tangerang Region

The aim of this research is to identify the strengths, weaknesses, threats and opportunities for marketing micro credit at Bank BTPN. Identifying the applied micro credit marketing strategy. Identifying strategies to win the microcredit competition. The research method used is the mix method combining qualitative and quantitative. The population is Regional Business Sales Support Manager, Regional Credit Manager, Business Area Leader, Branch Manager, all of whom are in the Tangerang region. The conclusion in the analysis of the micro credit strategy set at Bank BTPN Tangerang Region is that the micro credit marketing development strategy is carried out by analyzing the strengths, weaknesses, opportunities and threats, using a SWOT analysis. Identification of threats, strengths, weaknesses and opportunities regarding microcredit marketing at Bank BTPN Tangerang Region. Being able to develop the business according to the SWOT analysis, Bank BTPN as a people's business partner, has four strategies that are weighted according to the highest score. SO (strength-opportunity) strategy (1). Expanding the regional market network by utilizing branch networks in the regions (2). Developing products and services based on digital technology, for new customers and prospective customers, Btpn launched the Genius digital application and btpn WOW

Attitudes and Perceptions of School Principals about the Contribution of Evaluation to the Efficient Operation of Schools Both at the Administrative and Educational Levels

Evaluating teachers and educational work is now mandatory in the Greek educational system. The current study aims at investigating the attitudes and perceptions of principals of Piraeus Secondary Education units regarding the contributions of this evaluation law to the orderly functioning of schools in terms of administrative and educational aspects. For this qualitative research, a semi-structured interview was chosen as the results collection method. The interview questions included respondents’ demographic information and interview questions corresponding to three thematic axes according to the research questions. The convenience sample consisted of twelve (12) principals of secondary school units from the greater Piraeus area. All interviewed principals recognized the need for the evaluation process in education and agreed on the importance of their roles and responsibilities for the effectiveness of the proper functioning of their units. Nine respondents underlined the need for training teachers on new technologies, six considered internal evaluation reports as a means of weaknesses identification and improvement and five believed the evaluation imposed by the Ministry of Education creates negative feelings. As concluded, evaluation is of great educational importance, as it contributes to teachers’ professional development and schools’ educational quality improvement. However, when implemented suddenly or imposed by the state, it causes pressure, stress, fear, nervousness, and insecurity.