Competitive Analysis Research Articles

Purpose: to investigate the results of self-analysis of competitive activity of members of the Ukrainian national team in WTF taekwondo based on a questionnaire survey. Materials and methods: theoretical analysis and generalization of data from scientific and methodological literature and the Internet; questionnaire survey of athletes' attitudes towards improving technical and tactical training based on self-analysis of competitive activities; systematic analysis method; methods of mathematical statistics (the percentage of athletes who responded to the answer option proposed in the questionnaire out of the total number of participants in the questionnaire survey was determined). Results: the results of the survey of members of the Ukrainian national WTF taekwondo team showed that only 6,52 % of respondents were satisfied with their sporting achievements. It was found that a high percentage of members of the Ukrainian national team do not have clear plans for future competitive activities and participate in a varying number of competitions throughout the year. It was found that the majority of respondents (87 %) consider it necessary to use competition analysis to predict successful competition performance. It was determined that among the respondents, the vast majority of athletes use competition analysis with different characteristics: 80,4 % of athletes analyze all their matches; 63,04 % of athletes analyze the matches of their opponents and other athletes in the competitions in which they participate; 34,7 % of athletes analyze the matches of leading athletes and winners of international competitions; 63,04 % of athletes analyze their competitive activities independently; 52,17 % of athletes analyze their competitive activities together with their coach; 54,34 % of athletes record the results of their analysis of their competitive activities; 23,91 % (11 athletes) rely on their memory and, accordingly, do not make any records of their analysis of competitive activities. Conclusions. During the survey of qualified taekwondo athletes, data were revealed regarding problems with control and self-assessment of their technical and tactical activities during competition, which provides a complete basis for developing means of controlling technical and tactical preparedness (control exercises and control matches) based on modeling competitive activity and improving control and management, both in the training process and during competitive matches on both sides in the «coach-athlete» interaction.

An exploratory analysis of reinforcer competition and novelty in domestic dogs

ABSTRACT PBL (Project-based learning) is pivotal for higher education quality, but its outcome mechanisms remain unclear. This study examines PBL in the prototypical context of China International College Students’ Innovation Competition, using innovation performance as the key indicator. Based on the AMO(Ability-Motivation-Opportunity) theory, the research developed an integrated model to explain dynamics affecting innovation outcomes. Using fsQCA, the study identified four high-performance configurations (AMO Synergy, Full-Motive Activation, two Prove-Sprint System-Buffered types) and four non-high-performance configurations (Triple AMO Deficiency, Systemic AMO Absence, Motivation-Opportunity Vacuum, Weak Motivation Profile). These findings enhance theoretical understanding of PBL’s efficacy and offer actionable strategies for universities seeking to improve teaching quality and foster innovation.

Abstract: Blood Alcohol Content (BAC) measurement is critical for individual safety, law enforcement, and public health, but conventional approaches such as breath analysers and blood tests are frequently invasive, periodic, and prone to error as a result of motion artifacts, temperature changes, and intersubject metabolic variations. To overcome these issues, the research in this paper suggests an AI-based wearable system that combines multi-sensor data fusion with machine learning (ML) algorithms to improve BAC estimation accuracy. The system utilizes Photoplethysmography (PPG), Transdermal Alcohol Sensing (TAS), pulse rate, Galvanic Skin Response (GSR), and Infrared (IR) temperature sensors, with real-time processing of data via a cloud-based framework. A dataset of varied sensor readings was gathered in a controlled setting to provide robust BAC estimation under different conditions. Sophisticated machine learning (ML) algorithms such as Multilayer Perceptron (MLP), Extreme Gradient Boosting (XGBoost), and other algorithms were used for BAC prediction, utilizing multi-sensor data fusion to enhance resistance to external interferences. Results show that MLP had the best accuracy (98.99%), surpassing XGBoost and other traditional methods, with lower Root Mean Square Error (RMSE) (0.045), Mean Squared Error (MSE) (0.0020), Mean Absolute Error (MAE) (0.031), and Mean Absolute Percentage Error (MAPE) (3.2%), guaranteeing accurate BAC prediction. Pareto analysis shows Transdermal Alcohol Sensing (TAS) and pulse rate as the most significant parameters in BAC estimation. Competition analysis with prevalent models establishes the superiority of the system in reliability, accuracy, and real-time adaptation, setting it up for efficiency in alcohol monitoring, regulatory adherence, and health-related application.

Analysis of international competitiveness of Chinese aquatic seeding industry.

ABSTRACT This study employs field theory to analyze the dilemmas faced by the Intangible Cultural Heritage (ICH) after being incorporated into educational resources, revealing its underlying contradictions and causes.This paper reviews the process through which the Caijia Straw Dragon ICH project transitioned from the Bashu Agricultural Culture Museum into ZY Primary School. The paper describes how various stakeholders became involved in unequal power relations, unequal distribution of benefits, and divergent cultural perspectives due to resource competition and related conflicts. Based on the experiences of different countries, the study provides recommendations. This is a one-year ethnographic study where the researcher collects data through participatory observation, in-depth interviews, field notes, and recordings. The findings explore the field contradictions that emerged during the resource competition, addressing key questions such as: How are field contradictions formed? How are these contradictions manifested? How can these contradictions be effectively alleviated? This study enriches the application experience of ICH in the field of education, enhances the theoretical depth of related research, and provides valuable insights and pathways for integrating other ICH resources into schools or exploring other safeguarding approaches.

The growing demand for management models aligned with sustainability has driven research on business practices in the energy sector. However, most studies focus on competitive and macro-environmental analyses , neglecting the internal dynamics of organizations. This study investigates the relationship between the management models adopted by sugar and ethanol and oil refining companies and the sustainable management guidelines described in the literature. To this end, a methodological approach based on a systematic literature review was adopted, complemented by documentary analysis in selected companies. The results indicate that the sugar and ethanol sector has made significant progress in adopting sustainable practices, with emphasis on regenerative techniques and greater integration of environmental and social criteria in management. In contrast, oil refineries face more complex structural and regulatory challenges, even though they make efforts to incorporate technological innovations to mitigate environmental impacts. The analysis suggests that, while the sugar and alcohol sector is consolidating itself as a reference in sustainability, the refining segment needs to accelerate its transition to management models that promote greater alignment between operational efficiency and socio-environmental responsibility.

Based on the perspective of multi-stage dynamic competition, this study constructs a discrete dynamic model of price competition between the “direct sales” and “resale” channels in cross-border e-commerce (CBEC) under three blockchain deployment modes. Drawing on nonlinear dynamics theory, the Nash equilibrium of the system and its stability conditions are examined. Using numerical simulations, the effects of factors such as the channel price adjustment speed, tariff rate, and commission ratio on the dynamic evolution, entropy, and stability of the system under the empowerment of blockchain technology are investigated. Furthermore, the impact of noise factors on system stability and the corresponding chaos control strategies are further analyzed. This study finds that a single-channel deployment tends to induce asymmetric system responses, whereas dual-channel collaborative deployment helps enhance strategic coordination. An increase in price adjustment speed, tariffs, and commission rates can drive the system’s pricing dynamics from a stable state into chaos, thereby raising its entropy, while the adoption of blockchain technology tends to weaken dynamic stability. Therefore, after deploying blockchain technology, each channel should make its pricing decisions more cautiously. Moderate noise can exert a stabilizing effect, whereas excessive disturbances may cause the system to diverge. Hence, enterprises should carefully assess the magnitude of disturbances and capitalize on the positive effects brought about by moderate fluctuations. In addition, the delayed feedback control method can effectively suppress chaotic fluctuations and enhance system stability, demonstrating strong adaptability across different blockchain deployment modes.

With the acceleration of globalization, Kazakhstan has emerged as a crucial destination for foreign enterprises seeking to expand into emerging markets, particularly in the construction sector. Driven by abundant natural resources, a strategic geographical position, and improving business policies, Kazakhstan’s construction industry is attracting increasing foreign investment. However, foreign companies face challenges such as complex regulations, cultural differences, and fierce competition. This study systematically applies PEST analysis, Porter’s Five Forces, and SWOT frameworks to evaluate the market environment, industry competition, and the strategic positioning of foreign—especially Chinese—construction firms in Kazakhstan. The findings indicate that, despite the sector’s strong potential and policy support, success relies on adapting to local contexts, leveraging technological advantages, and developing localization strategies. This research not only fills the gap in the literature on Kazakhstan’s construction industry marketing but also provides actionable recommendations for foreign companies exploring the Central Asian market.

Emission surcharge in the European Union Emissions Trading System: A competitive analysis for shipping companies

The Port of Hambantota is strategically located along the East-West main sea route, with an approximate deviation of ten nautical miles. Most current business at the Port of Hambantota relies on automobile roll-on/roll-off, breakbulk, bulk, and project cargo operations. Furthermore, container ship handling operations are expected to commence at the Port of Hambantota. Therefore, this study evaluates the competitiveness of the Port of Hambantota as a container transshipment hub compared to six existing transshipment hub ports: the Port of Jebel Ali and Port of Salalah in Southwest Asia, the Port of Colombo in South Asia, and the Port of Singapore, Port of Tanjung Pelepas, and Port Klang in Southeast Asia. This study considers the mainline-to-feeder transshipment operation. The competitiveness analysis is based on market share using an extended version of the generalised cost approach combined with a discrete choice model. Senior managers attached to the main container line agencies in Sri Lanka evaluated the selection criteria for transshipment hub ports and the performance of the competing hubs. Further scenario analysis was conducted to understand the potential implications for the transshipment business at the Port of Hambantota. The results indicate that the Port of Singapore has the highest potential to become a market leader in transshipment operations despite the presence of the Port of Hambantota. However, the findings also suggest that the Port of Hambantota possesses significant potential for transshipment operations, provided that there are continuous improvements in port performance.

This study analysed the market positioning for new product launch to achieve market viable product (MVP) which is a mini-launch of the CocoGlow Milk Drink. A sample of three hundred young and old adults between 18 and 55 years old was taken for this study. Data were obtained through questionnaire administration to individuals residing in five Local Government Areas (LGAs) in Lagos state. Out of the three hundred (300) samples, 250 copies of the questionnaire were filled and returned. However, 8 copies were not properly filled and were therefore excluded from the analysis. In all, 242 copies of the questionnaire were validly filled and used for the data analysis. It was found that substantial portion of the respondents is aware of the benefits of consuming CocoGlow Milk Drink. The study also revealed in the survey, 93% of the respondents have interest in drinking CocoGlow Milk Drink. The results also showed that 32.6% of the respondents are willing to become distributors of CocoGlow Milk Drink. It is recommended that Facebook, Instagram, SMS and Whatsapp should be mainly used as they are the most preferred channels by majority of the respondents.

This paper explores the challenges facing the construction industry in Oman. Factors such as delays, cost overruns, and quality issues introduce uncertainty and risk into investments. Through a sampling of 30 construction companies, this study assesses the current market prospects, including size, demand, and supplier efficiency. The analysis aims to identify market performance gaps, enabling projects to strategically position themselves and develop competencies to outperform competitors sustainably. Emphasizing the importance of risk management and meeting market expectations, this research offers insights into enhancing competitiveness and mitigating potential pitfalls in the construction sector of Oman.

The concept of competition is used in many areas from economy to health. As in all sectors, there is competition in the maritime transport industry. Although various Regional Memoranda of Understanding (MoU) have created risk assessment indexes for risk profile calculation, an index to measure competition in maritime transportation has not yet been used in the literature. Ships must successfully pass the inspections they face within the framework of international rules to maintain their commercial existence. The aim of this article is to provide a new perspective on measuring competition between ship types based on the results of inspections in maritime literature. In this context, for the first time in literature, the Ship Inspection Competition Index (SICI) is defined to examine the competition of ship types, flag states, recognized organizations, and ships subject to other inspection regimes. The SICI analysis was conducted using United States Coast Guard (USCG) Port State Control inspection results between 2020 and 2023. The results showed that tankers are more competitive than other ship types. At the same time, a competitiveness analysis of recognized organizations found that one organization was perfectly competitive (SICI = 0.0) compared to others. In the study, Cronbach's Alpha reliability test was conducted, and the result was 0.943 for the deficiency-based measure and 0.976 for the detention-based measure. Both results indicate a high level of reliability. It is considered that this study may provide valuable insights for future research.

Forecasting outcomes in high-stakes competitive spectacles like the Olympic Games, World Cups, and professional league championships has grown increasingly vital, directly impacting strategic planning, resource allocation, and performance optimization across a multitude of fields. However, accurate forecasting remains challenging due to complex, nonlinear interactions inherent in high-dimensional time-series data, further complicated by socioeconomic indicators, historical influences, and host-country advantages. In this study, we propose a comprehensive forecasting framework integrating structured time-series modeling with ensemble learning. We extract key structural features via two novel indices: the Advantage Index (measuring a competitor’s dominance in specific areas) and the Herfindahl Index (quantifying performance outcome concentration). We also evaluate host-country advantage using a Difference-in-Differences (DiD) approach. Leveraging these insights, we develop a dual-branch predictive model combining an Attention-augmented Long Short-Term Memory (Attention-LSTM) network and a Random Forest classifier. Attention-LSTM captures long-term dependencies and dynamic patterns in structured temporal data, while Random Forest handles predictions for unrecognized contenders, addressing zero-inflation issues. Extensive stability and comparative analyses demonstrate that our model outperforms traditional and state-of-the-art methods, exhibiting strong resilience to input perturbations, consistent performance across multiple runs, and appropriate sensitivity to key features. Our key contributions include the development of a novel integrated forecasting framework, the introduction of two innovative structural indices for competitive dynamics analysis, and the demonstration of robust predictive performance that bridges technical innovation with practical strategic application. Finally, we transform our modeling insights into actionable strategic insights. This translation is powered by interpretable feature importance rankings and stability analysis that rigorously validate the robustness of key predictors. These insights apply across multiple dimensions—encompassing advantage assessment, resource distribution, strategic simulation, and breakthrough potential identification—providing comprehensive decision support for strategic planners and policymakers navigating competitive environments.

The objective of this research is to see the development of cocoa competitiveness and its determining factors in the Southeast Sulawesi trade. The data used in the study were collected from several institutions, namely Central Statistics Agency, the Ministry of Agriculture, and the International Cocoa Organization (ICCO), in the form of time series data from 2011-2022. The research methodology applied the Revealed Comparative Advantage (RCA) for determining the development of cocoa competitiveness and Multiple Linear Regression Analysis for the determinants of cocoa trade. The results of the analysis show that Southeast Sulawesi's superior cocoa commodity has competitiveness. The RCA value can be seen from 2011 to 2018 and is still quite good. It is proven that the average RCA is above 4, although in the following year the RCA value shows a decreasing trend until 2022. Moreover, the determining factors for the competitiveness of Southeast Sulawesi’s cocoa are land area, production factors, domestic prices and international prices. Only the domestic price variable partially has a notable effect on its competitiveness. This research can be made a reference for the local government to adopt any policies regarding the export of cocoa beans and processed products so that it can encourage and increase the competitiveness of Southeast Sulawesi cocoa through implementing downstreaming, improving infrastructure and national cocoa research and development.

Low-Density Lipoprotein Cholesterol Time in Target Range and Clinical Outcomes in the General Population

This study investigates the stereodynamical control of the H + HBr (v = 0, j = 1) reaction within 0.01-1.50eV collision energy using the time-dependent wave packet method. The key findings reveal a clear β-dependent (β is the angle of alignment) scattering behavior: the β = 90° configuration in the abstraction channel enhances reactivity and dominates the formation of the products at lower vibrational states with increasing collision energy. In contrast, the β = 0° configuration promotes all vibrational states in the exchange channel. Notably, the β = 45° configuration displays the smallest cross sections in both channels due to destructive quantum interference, contrasting with the constructive interference in the β = 90° configuration. Channel competition analysis demonstrates that β = 0°/45° configurations enhance exchange channel dominance, whereas β = 90° favors the abstraction channel. The differential cross section shows that the products in the abstraction channel shift from backward to forward in the β = 0°/45° configuration, while maintaining sideways distributions in the β = 90° configuration, and in the exchange channel, it is always backward scattering. The highest reaction rate in the abstraction channel occurs at the parallel alignment in the temperature region between 200 and 1000K.

Text summarization is a significant process in retrieving the information, supporting the generation of concise summaries from original text documents. This paper looks at the importance of text summarization in many different uses those being Article Proofreading, Online Visibility Enhancement, Corporate Assessment, and Competitive Analysis. Both the two main text summarization strategies, a creative and a concise one, will be debated. Summary based on an extractive method depends on identifying important sentences and words from the text, based on high scores. On the other hand, an abstractive summary can contain some new expressions which are not presented in the unduplicated text. The paper is based on an extractive summarization model that has been developed using TFIDF. TFIDF approaches, Clustering-based techniques, and ML approaches are reported to be efficient for extractive text summarization and abstract based model is developed using BERT technique its ability to perceive language structures, sentence relationships, and to understand meaning gets significantly improved in a similar patterns of humans. Having been pre-trained, BERT will be able to do fine-tuning for numerous downstream NLP tasks, e.g., summarizing the text, NER, and Q and A. One of its strengths is being able to produce contextualized vector representations of words, where the semantical association of a word is dynamically modulated by the context. The study reviews the current approaches and models for Hindi text summarization, concentrates on the semantic relatedness principle and the keyword feature extraction.

ABSTRACT Economic globalization intensifies competition among ports within similar clusters, effectuating overlapping hinterlands and redundant services. This study develops an evaluation index system for port competitiveness and applies the TOPSIS method to analyze ports in the Bohai Rim region. Focusing on Qingdao and Tianjin ports, a static game model based on Bertrand’s theory evaluates revenue outcomes under different strategies and reveals cooperation as the optimal approach, however, the absence of betrayal costs poses a significant barrier to its realization. Using an evolutionary game model, we identify two stable strategies: cooperation and competition. The different initial intentions of both sides to cooperate and price sensitivity coefficients influence the evolutionary direction, predicting a 58% likelihood for collaboration under current conditions. The recommendations include enhancing inter-port connectivity, optimizing port positioning, promoting informatization to reduce price wars, and encouraging collaboration. Future research should expand the model to include all port clusters by incorporating additional influential parameters.