Competitive Situation Research Articles

ФОРМУВАННЯ ПРОДУКТОВОЇ СТРАТЕГІЇ ЯК ГОЛОВНОГО ЕЛЕМЕНТА МАРКЕТИНГОВОЇ ТОВАРНОЇ ПОЛІТИКИ

Introduction. Today, when the target market changes, competition increases or the marketing environment changes, the nature and pace of product development must also change. Different markets and competitive situations require different product development cycle lengths, degrees of standardization and support services. All of the above requires a rethinking of the role of marketing product policy, in particular marketing product strategy. The purpose of the article.To investigate the essence of the product strategy, the peculiarities of product marketing, to analyze the foreign experience of forming a product strategy and to build a model of the company's product marketing strategy. Metods. The use of the method of analysis and synthesis of foreign experience in the formation of product marketing made it possible to adapt the model of the company's product marketing strategy to domestic realities. Results A product strategy sets the direction for the business, unites everyone around common goals and reduces waste. Product marketers spend a lot of time solving problems – many of which could be avoided if product goals, priorities and strategies were clear and aligned. In order to better understand who should do what, a model of the company's marketing product strategy is proposed, which includes three components: a strategy for determining product activity (initial activity); product manufacturing strategy (input activity) and sales strategy (output activity). Conclusiоns The structure of product marketing and its functioning depends on the size of the enterprise, the markets in which it operates, as well as the skills and preferences of the people involved. However, in order to achieve success, it is necessary to realize three aspects: decide who and what should be done; understand who is ultimately responsible for the success of each product; a detailed understanding of existing and potential customers and markets. Knowing this helps ensure products are well positioned, customers want to buy them, and sales teams have what they need to sell.

The Game Theory of Football Penalty Kicks

Abstract. Soccer is the world's number one sport, known for its fierce rivalries and full of surprises. Especially in important international competitions, such as the World Cup and the European Championships, matches are often about national honor and the expectations of millions of fans. Penalty kicks are a common punishment in soccer, where the goalkeeper and the shooter are pitted against each other in a one-on-one confrontation. Penalty kicks, because of their simplicity of confrontation, have a breath-taking tension and excitement, and most of the victory depends on the decision-making confrontation between the shooter and the goalkeeper. Game theory is an important tool for studying how participants make decisions to maximize their own gains in situations of conflict and competition. In order to study how the goalkeeper saves most effectively, this paper analyzes the penalty shot from the perspective of game theory, and obtains the optimal solution for the goalkeeper's save direction in a simplified situation by calculating the Nash equilibrium under mixed strategies.

Investment Research of China Medical Device Industry under the Concept of Corporate Finance — Take Yuyue Medical Co., Ltd. as Example

With the optimization of China’s healthcare policy, the rise of the aging population, the increasing health awareness of society, and the impact of the global epidemic, China’s medical device industry has become a key market for investors. However, compared with the mature and well-funded medical device companies in overseas developed countries, China’s local medical device companies have apparent disadvantages and jumping battles. Yuyue Medical Co., Ltd. is a prominent player in the medical device industry in China, having sustained a significant profit margin over an extended period. Its profitability has changed over the post-epidemic period, in any case. Given Yuyue Medical Co., Ltd.’s exceptional standing in the medical equipment sector, an analysis of the company as an industry investment case makes sense. Based on Yuyue Medical Co., Ltd. as the industry investment benchmark, the study analyses the industry’s competitive development situation, financial performance, and impact on the external environment by adopting Porter’s Five Forces, ratio analysis, and PESTEL. The study found that China’s medical device industry has growth potential due to the low bargaining power of customers and suppliers, high technological barriers, and low threat of substitution by new entrants. Yuyue Medical Co., Ltd. has healthy financial performance and several advantages from the external environment, so Yuyue Medical Co., Ltd. is worthy of investment.

Microsoft's Strategic Advantage: An In-depth Analysis Based on Porter's Five Forces Model

Abstract: This article uses Michael Porter's five forces model to analyze Microsoft's competitive situation in the global technology industry. It emphasizes that Microsoft has maintained its industry leadership by continuously innovating its technology and being keenly aware of market changes. The analysis covers Microsoft's strategies in facing market competition, the threat of new entrants, the challenge of substitute products, the bargaining power of suppliers and buyers, and its impact on the company's performance. The study pointed out that Microsoft has established high barriers to entry in its main business areas, thereby effectively preventing the entry of new competitors. The article also analyzes how Microsoft maintains its competitive advantage and market leadership through product differentiation, innovation, flexible pricing strategies, and the ability to adapt to market structure. Although Microsoft faces many challenges, it has successfully maintained its competitiveness in the global market through solid R&D capabilities, an extensive product portfolio, deep market penetration, and an active response to changes globally.

TreeCompR: Tree competition indices for inventory data and 3D point clouds

Abstract In times of more frequent global change‐type droughts and associated tree mortality events, competition release is one silvicultural measure discussed to have an impact on the resilience of managed forest stands. Understanding how trees compete with each other is therefore crucial, but different measurement options and competition indices (CI) leave users with a difficult choice, as no single competition index has proven universally superior. To help users with the choice and computation of appropriate indices, we present the open‐source TreeCompR package, which handles 3D point clouds and classical forest inventory data, enabling the calculation of both innovative point cloud‐based indices and traditional distance‐dependent indices. It serves as a centralized platform for exploring and comparing different CIs, allowing users to test and select the most suitable CI for their specific research questions within a common interface. To evaluate the package, we used TreeCompR to quantify the competition situation of 307 European beech trees from 13 sites in Central Europe. Based on this dataset, we discuss the interpretation, comparability and sensitivity of the different indices to their parameterization and identify possible sources of uncertainty and ways to minimize them. The compatibility of TreeCompR with different data formats and different data collection methods makes it accessible and useful for a wide range of users, specifically ecologists and foresters. Due to the flexibility in the choice of input formats as well as the emphasis on tidy, well‐structured output, our package can easily be integrated into existing data‐analysis workflows both for 3D point cloud and classical forest inventory data.

Sustainable logistics development strategy based on SWOT and analytic hierarchy process.

Due to the implementation of sustainable green development strategy, the study uses the competitive situation method and analytical hierarchy process of logistics enterprises to conduct structural analysis and weight calculation of factor indicators for their development strategies. Afterwards, the exponential smoothing prediction method was used to weight the logistics data. Moreover, through comparative analysis of the indicator evaluation system, the average weights of the advantageous factors of logistics enterprises were found to be 0.0232, 0.1102, 0.0522, and 0.0468, respectively. The energy consumption, transportation volume, and turnover of logistics transportation increased by 68.9% and 52.3% in 2022, respectively, which had a significant impact on the sustainable development of the logistics industry. It has been demonstrated that a sustainable logistics development strategy based on the enterprise competitive situation method and the analytic hierarchy process is both feasible and superior. Furthermore, this strategy has the potential to enhance the environmental benefits and green development of the economy and society.

A new sociology of humans and machines.

From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and permeating our communication channels, social interactions, economic transactions and transportation arteries. Networks of multiple interdependent and interacting humans and intelligent machines constitute complex social systems for which the collective outcomes cannot be deduced from either human or machine behaviour alone. Under this paradigm, we review recent research and identify general dynamics and patterns in situations of competition, coordination, cooperation, contagion and collective decision-making, with context-rich examples from high-frequency trading markets, a social media platform, an open collaboration community and a discussion forum. To ensure more robust and resilient human-machine communities, we require a new sociology of humans and machines. Researchers should study these communities using complex system methods; engineers should explicitly design artificial intelligence for human-machine and machine-machine interactions; and regulators should govern the ecological diversity and social co-development of humans and machines.

Factors that Affect Creating of Competitive Advantage for Trade Business in Xayabury District, Xayabury Province

The purposes of study were: 1) to study trade business competition situation of entrepreneurs, 2) to study a creation of a competitive advantage for trade business of entrepreneurs, and 3) to investigate factors that affect a creation of a competitive advantage for trade business in Xayabury district, Xayabury province. The research sample was 160 peoples from trade business of entrepreneurs by using questionnaires as data collection instrument and statistics were used to analyze frequency, percentage, mean, standard deviation and stepwise multiple linear regression. The research found that: 1) trade business in Xayabuly City, Xayabuly Province, faces moderate competitive pressure with the strongest force coming from existing competitors within the industry, followed by the pressure from the entry of new competitors, the bargaining power of suppliers of goods/raw materials, the bargaining power of buyers, and lastly, the threat of substitute goods. 2) The creation of a competitive advantage of trade business entrepreneurs in in Xayabuly City, Xayabuly Province is at a high level, the highest mean is the trading business difference in bringing new commodities different from the competitors to the market to satisfy the customers. To quickly response to the needs of clients, it is necessary for the trading businesses to present new products. Trading businesses need to emphasize targeting markets by building good collaboration and friendship with clients. Trading business need to have a strategy in lowering operation costs by using resources effectively. 3) Factors affecting the creation of a competitive advantage for trading business in Xayabury district, Xayabury province, consist of six factors such as: proactive factor, current competitor factors, competitive strength factors, risk tolerance factors, political-legal factors and threat factors from substitute products. These factors are directly interconnected with the creation of a competitive advantage, except, political-legal factors of the entrepreneurs in Xayabuly District, Xayabuly Province.

Discovering technology opportunities of latecomers based on RGNN and patent data: The example of Huawei in self-driving vehicle industry

Emerging technologies provide competitive opportunities for latecomers to catch up with leading giants. As most of the extant literature indicated, types of single-dimensional relations from patent data have been revealed in technology opportunity discovery (TOD) research. Still, few have been aware of the more complex characteristics extracted from higher-dimensional patent information such as the patentee-technology relation. To derive this valuable relation for more robust results, this article introduces a novel TOD method, utilizing a recursive graph neural network (RGNN) to transform this high-dimensional information into measures of heterogeneity as internal capability, and combining it with external challenges evaluated by the competitiveness index, to identify technological opportunities. Taking the self-driving vehicle (SDV) industry with 33,347 patent families from 2010 to 2021 as the initial dataset, it shows significant performance promotions compared to previous analogous TOD models. Meanwhile, tested by recent filing patent data, the predicted opportunities are consistent with Huawei and other enterprises. Upon illuminating the intense technological competition situation among the preeminent SDV firms worldwide as a case exploration, this research contributes theoretical and practical views to the TOD research and network analysis.

Interpersonal strategy for controlling unpredictable opponents in soft tennis

Competition in sports, unlike cooperation in everyday life, does not involve a single solution because individuals aim to behave unpredictably, thereby preventing others from predicting their actions. This study determined how individuals in court-based sports attempted to control others’ unpredictable behaviors, addressing the gap in previous studies regarding the lack of clarity around strategies employed by individuals in competitive situations. We achieved this by applying a switching hybrid dynamics model, considering external inputs to analyze individual behaviors. Consequently, the study indicates that skilled individuals, in contrast to intermediate players, exhibit greater consistency in their behaviors. These skilled individuals lead others to anticipate their consistency and subsequently employ strategies to disrupt these expectations. This strategy exploits the principles of active human inference, implying that competition involves cooperation. This was revealed by an analysis of both human decision-making and behavior in actual matches as discrete and continuous dynamical systems. This interpersonal strategy could assist policymakers in the field of everyday life to enhance competitiveness. This strategy enables policymakers to adopt new policies that promote cooperation with competitors, ultimately increasing competitiveness in various aspects of our daily lives.

Comparative Study of Attitude towards Customer Intention to Implement Online Banking Services among the Collegiate Students

The massive advances in technology and aggressive implement of information technologycontributed as a paradigm shift in banking activities. It is explained to be twofold shift where banksusing technology have been systematically achieving efficiency, control, profitability and theircustomers are leveraging the benefits of convenience of „anywhere, anytime, anyway‟ banking. Whencustomers when experience such possibilities offered by internet banking services experienced bycustomers, they are not likely to have unpleasant e-service quality and since, most of the banks havejoined the bandwagon of internet banking, the competing service providers are often just one click awayfrom each other. This competitive situation of service industry encourages image building and brandingfor banks to differentiate one from others.

A Financial Analysis and Valuation of Diamondback Energy

Because of the importance of its products and huge value, the oil and gas industry itself occupies an important position in the national economic system. However, the development of this industry is unbalanced and insufficient, with large differences in market size, liquidity, solvency, profitability, valuation, and growth potential, and few companies have achieved good performance in all of these dimensions. This study delves into the unbalanced development and varied performance metrics among key petrochemical companies listed in the U.S. stock market, utilizing both fundamental analysis and non-financial analysis method, as well as to conduct a specific study on the competitive situation of Diamondback Energy. This study has elucidated that Diamondback Energy lags behind its peers in terms of liquidity and solvency. However, it is worth noting that despite macroeconomic challenges such as economic downturns and industry-wide downturns, its profitability remains relatively strong within the industry. Additionally, it holds a certain advantage over its peers in terms of financial valuation and growth potential, making it a growth-oriented enterprise. The study suggests that investors should consider market volatility and the company's management risk when entering the oil and gas industry in order to maximize returns.

Integration of Team Performance, Emotional Intelligence, and Human Resource Management Practices: A Systematic Review

In this article, we will discuss how to combine team performance with emotional intelligence and use human resource management practices in an increasingly competitive globalization situation. Research data was collected through trusted journal databases such as Scopus and Google Scholar to ensure broad and relevant literature coverage. You can search for literature using Publish or Perish (POP) applications and enter keywords relevant to the research subject. In order to gain a more holistic understanding of the research subject, data collection involved combined methods using quantitative and qualitative analysis. In the current era of globalization, the level of productivity and sustainability of an organization can be improved through teams that work effectively, have good emotional intelligence skills, and implement optimal human resource management practices. The importance of this Research is highly visible in increasing understanding of the relationship between these factors and how they affect business today

Analysis of reduction of carbon emission and dynamic service policies in a green manufacturing system under isoperimetric fixed servicing budget constraint

In the recent highly saturated, fluctuated as well as competitive marketing situation, economic growth, stability and survival of a manufacturing company are substantial factors for the competent authority of a manufacturing firm. Again, due to the harmful effects of different chemicals and preservative oriented products, consumers gradually show their sensible interest towards the green products and their benefits. Furthermore, emission reduction and carbon emission tax become major issues on the sustainable growth and reputation of a manufacturing company. Fundamentally, considering these factors, this study demonstrates the prior decisions regarding best-found policy of a manufacturing company considering the effects of service with sold eco-friendly (green) products under the effects of emission taxation and reduction policies. The demand effected by level of greenness, price and dynamic service provided to the consumers. Now, due to the budget constraint, manufacturer estimates a fixed budget due to service to the consumers along with the items sold. Again, based on the carbon emission reduction policy, two distinct cases are arisen which are analyzed separately. Due to the budget constraint, maximization problem associated to the model becomes an isoperimetric control problem. Then to illustrate the realistic feasibility the proposed model, a physical example is taken under consideration and it is solved using Teaching–learning-based optimization algorithm (TLBOA) considering each of the cases. Finally, the sensitivity analyses are performed to get some important implications for the manager of the proposed manufacturing system.

Platform integration in ride-sourcing markets with heterogeneous passengers

This paper explores the impacts of a novel business model termed platform integration, which enables passengers to simultaneously request on-demand rides from multiple ride-sourcing platforms via a third-party integrator. In particular, we employ an equilibrium model where passenger demand and driver supply are endogenously dependent on the prices and wages that emerge from the competitive interaction between two platforms, with and without an integrator. A Hotelling model is adopted to characterize passengers’ heterogeneity in service preference for different platforms. We employ the concepts of a Nash equilibrium and a shared monopoly to analyze equilibrium outcomes that can arise in various settings of demand and supply characteristics with and without platform integration. We find that how the platform should adjust its price and wage at Nash equilibrium as potential demand increases is affected by the nature of supply. We also find that the profit at Nash equilibrium can increase or decrease in supply capacity depending on the competitive situation of the platforms. We build on these equilibrium results to analyze how platform integration affects the platform’s decision-making of price and wage, and market performance. We find that platform integration can increase platform profit but reduce driver income, and may hurt passengers who have a strong preference for one certain platform, especially in the case of a less heterogeneous supply.

Using Cognitive Models to Improve the Wisdom of the Crowd

The wisdom of the crowd is the finding that aggregating the judgments of many people can lead to surprisingly accurate group judgments. Usually statistical methods are used to aggregate people’s judgments, but there are advantages to using cognitive models instead. Crowd judgments based on cognitive modeling can (a) identify experts and amplify their judgments, (b) provide a representational structure for aggregating complicated multidimensional judgments, (c) debias judgments that are affected by heuristic cognitive processes or competitive social situations, and (d) diversify the crowd by incorporating predictions about judgments that have not been observed. Demonstrations of these advantages are provided in case studies involving ranking, probability estimation, and categorization problems.

Конкуренция требований налогового органа и конкурсных кредиторов к взаимозависимому с несостоятельным налогоплательщиком лицу

The article deals with the situation of competition in the practice of arbitration courts of the tax authority's claim for the recovery of arrears, presented simultaneously to the person controlling the debtor in a separate dispute on bringing to subsidiary liability in a bankruptcy case of a taxpayer in the manner of Chapter 3.2. of the Bankruptcy Law, and claims against the same person as an interdependent with an insolvent taxpayer in a separate claim proceeding, on the basis of paragraph 1, paragraph 3, Article 45 of the Tax Code of the Russian Federation. The author believes that in the situation under consideration there is an identity of claims, as a result of which the rights of other creditors of the debtor who are not involved in the distribution of funds received by the tax authority from the controlling debtor bypassing the competitive procedure are violated.

Research on the Motivation of Competition Situation Changes Based on the Performance Score and Momentum Scoring Model

Research on the Motivation of Competition Situation Changes Based on the Performance Score and Momentum Scoring Model

Comparison of the incidence and causes of injuries in stand-up and ground combat-sport fighters – a narrative review

Injuries in combat sports can happen to any athlete, regardless of gender, age, training experience or whether he or she is an amateur or a professional. The range of injuries varies from superficial, short-term damage to severe injuries with serious consequences, including death. There are many types of combat sports, each with different rules and specific injuries. Amongst various divisions of combat sports, one of the basic ones is the division into ground and stand-up sports. In the following work, using the available literature, we wanted to present the specifications of several of the most popular combat sports and compare their most common locations of injuries, types of injuries and mechanisms of their formation, paying attention to which of these categories a given sport belongs to. We also discuss differences in the rate of injury for different age, genders, prevalence of injuries during situations of practice and competition. In the end, it is presented what are the possible long-term complications of injuries in combat sports and which actions such as protective gear, bans on certain techniques or behavioural changes might reduce the injury rate to protect the athletes health, well-being and decrease the economic burden on healthcare systems.

Does job satisfaction mediate the effect of teamwork and organizational citizenship behavior on job performance?

In an increasingly competitive business situation, employee performance is something that is increasingly becoming the main concern of organizations. Therefore, this research aims to find a model for improving employee performance through increasing teamwork and organizational citizenship behavior with job satisfaction as an intervening variable. This study was carried out in Merak Banten at an agrochemical company by distributing questionnaires to 50 respondents representing production, maintenance, warehouse, laboratory, and general departments. This kind of research is known as explanatory research, and it uses hypothesis testing to explain the link between variables. The collected questionnaire data was then analyzed using SEM statistical methods and PLS analysis with SmartPLS 4 software. The analysis outcome showed that the job satisfaction variable had a direct effect on performance, teamwork had a direct or indirect effect on performance and organizational citizenship behavior had no direct or indirect effect. on performance. This research implies that companies are advised to increase the value of organizational citizenship behavior to increase job satisfaction and employee performance.