Changing Market Conditions Research Articles

Data analytics as a driver of digital transformation in financial institutions

Data analytics plays a pivotal role in driving digital transformation within financial institutions, enabling organizations to leverage insights from vast amounts of data to enhance decision-making and optimize operational performance. This paper explores the multifaceted impact of data analytics on the financial services sector, highlighting how it can improve customer experience, streamline processes, and foster innovation. By implementing advanced analytics techniques, financial institutions can better understand customer behaviour, identify market trends, and personalize services to meet evolving customer needs. The study discusses effective strategies for integrating data analytics into decision-making processes and operational workflows, emphasizing the importance of creating a data-driven culture that encourages collaboration across departments. Case studies of leading financial institutions that have successfully integrated data analytics into their operations illustrate the transformative outcomes, including improved customer satisfaction and increased revenue growth. Additionally, the paper addresses challenges such as data silos, regulatory compliance, and the need for skilled personnel to analyse and interpret data effectively. To overcome these hurdles, best practices are outlined, including investment in robust data infrastructure, fostering cross-functional teams, and ensuring continuous training for employees. The findings indicate that a strategic approach to data analytics not only enhances performance but also positions financial institutions to adapt to rapidly changing market conditions. Ultimately, this paper underscores the critical role of data analytics in shaping the future of financial services and achieving sustainable growth in an increasingly competitive landscape.

Leadership Training in the Era of Digital Transformation: Case Study of Amazon

Abstract: Enterprises are entering the digital transformation era to adapt to rapidly changing market conditions and technological advancements. As organisations undergo digital transformation and reshape their business models and practices, this study explores how digital technology facilitates the development of new business models, changes corporate interaction channels, and the positive impact of digital transformation on leadership training. As a global leader in e-commerce and cloud computing, Amazon provides lessons and insights for other companies' leadership training in digital transformation through an in-depth study of its leadership training models and practices. This study explores in depth the impact of digital transformation on leadership training, analyses the effectiveness and challenges of leadership training in the context of digital transformation, and how to innovate leadership training models in the context of digital transformation. Analysing the case of Amazon enriches and improves the existing leadership training theories and provides new research perspectives and ideas for the academic community.

Exploring AI's Role in Enhancing Risk Assessment Models in Financial Quantitative Trading

The application of Artificial Intelligence (AI) algorithms to financial risk management has fundamentally transformed the nature of risk and the tools being used to control and manage it. This paper examines how AI is deployed to manage market risk, including volatility forecasting, portfolio optimisation, stress testing, and sentiment analysis. While many of these models are well-accepted across the industry and underpin many front-office and risk-management processes, they are often limited in dynamic market environments where traditional linearity doesnt exist and real-time data is king. AI has brought advanced tools that can be applied to large and complex data sets, and that adapt quickly as market conditions change. Reinforcement learning algorithms are now deployed to optimise portfolio weights dynamically. Natural-language processing is also used to augment sentiment analysis, which can be leveraged to assess potential risk. Other forms of AI can be deployed to address challenges that come with more advanced AI models. Explainable AI models provide the opportunity to produce financial outcomes that are more transparent and less opaque while also helping to validate regulatory compliance. Analyzing the applications of AI case studies sheds light on why financial professionals must continue to embrace AI tools, many of which are designed to help them manage risk in an increasingly volatile market environment.

The influence of supply chain agility on FMCG SME marketing flexibility and customer satisfaction

In the fast-paced Fast-Moving Consumer Goods (FMCG) sector, small and medium-sized enterprises (SMEs) must adapt swiftly to changing market conditions and consumer demands to stay competitive. This review explores the influence of supply chain agility on marketing flexibility and customer satisfaction in FMCG SMEs. Supply chain agility, characterized by responsiveness, adaptability, and real-time decision-making, enables SMEs to respond quickly to market shifts, optimize operations, and deliver products efficiently. As a result, agile supply chains directly impact the marketing flexibility of SMEs by enabling faster product launches, customization, and rapid adjustments to promotional strategies based on market feedback. This also highlights how marketing flexibility, supported by agile supply chains, enhances customer satisfaction by meeting expectations related to product availability, quality, and service delivery. Agile supply chains allow FMCG SMEs to reduce stockouts, improve order fulfillment times, and adapt to customer preferences, creating a seamless experience that fosters brand loyalty. Furthermore, this review presents case studies of FMCG SMEs that have successfully implemented agile supply chains to boost marketing responsiveness and customer satisfaction, demonstrating real-world applications of these strategies. By examining the interrelationship between supply chain agility, marketing flexibility, and customer satisfaction, this review emphasizes the importance of an integrated approach to operations and marketing in FMCG SMEs. The findings suggest that investing in supply chain agility is critical for SMEs seeking to enhance their market adaptability and customer-centricity. The study concludes by offering recommendations for FMCG SMEs to develop agile supply chains that enable them to thrive in a competitive and ever-evolving marketplace, where customer satisfaction and rapid market response are key drivers of success. Keywords: Supply Chain, FMCG SME, Marketing Flexibility, Review.

Green innovation through trade: The impact of European Union emissions trading scheme on Chinese exporters

This paper investigates the international diffusion of green innovation through trade, focusing on the impact of the European Union Emissions Trading Scheme (EU ETS) on Chinese exporters. Using a difference-in-differences approach with firm-level data from 2000 to 2013, we find that the EU ETS significantly increased green patent applications among China-to-EU exporters. The likelihood of green patent applications increased by 0.2%, effectively doubling the pre-policy rate. Our mechanism analyses indicate that the increase is driven by the learning-by-exporting effect, rather than market size effects or the anticipation of regulatory and market condition changes. These results highlight the role of international trade in disseminating green technology and demonstrate how environmental regulations can foster innovation across global markets.

A Business Management Model in the Circular Economy: Technological Solutions for Plastic Recycling

Objectives: this article develops a model for managing business processes in a circular economy using technologies for plastic recycling. Theoretical Framework: The theoretical idea and basis of the article consists in the development of project management methodology, process approach in the closed-loop economy, development of methods and economic tools aimed at effective resource management taking into account waste reduction and increased reuse of plastic fractions in Municipal Solid Waste (MSW). The application of digital technologies and solutions in the context of business process management in the field of plastics recycling will be substantiated, which will allow to identify new opportunities and reserves for optimising business processes in this field, increasing the efficiency of resource use, improving the environment and reducing costs. Method: the work uses a project approach, a process approach, digital modeling methods, and the “polluter pays” method. To implement the process approach, it is proposed to use the concept of Business Process Management (BPM). Competent business process management allows the company to react quickly to changing market conditions and customer orientation. Digital modelling in this paper means the representation of actions in the form of business processes in the organisation of solid waste management, the 'polluter pays' method means the economic assessment and accounting of environmental damage in waste management in the costs of business processes. Results and Discussion: The results of the study can be used to introduce the process approach to plastics recycling in individual regions and countries for the development of a green economy. According to the estimates of the authors, the optimisation and cost reduction of business processes, taking into account the environmental factor and the increase of the revenue part of the project from the reuse and inclusion in the economic turnover of plastic waste recycling products on the scale of the considered city (population of 1800 thousand people, area of 2856 ha, 18.14 tonnes of plastic waste accumulated per day) will reduce the costs of business process management by more than 200 thousand euros. Research Implications: the results of the study can be used to justify projects for the processing and recycling of solid municipal waste, including plastic waste, to introduce environmentally friendly production, to reduce the negative impact on the environment, to develop a process approach to the organisation of all activities for the collection of plastic waste in the city, district. In addition, the application of the proposed approach allows to obtain economic benefits for companies through the sale of secondary resources for the processing of plastic waste, as well as to reduce the negative impact on the environment. Originality/ Value: The originality of the research and its value lies in a new scientific formulation of the problem of reducing environmental pollution from plastic waste through the use of business processes in the field of plastic recycling and digital solutions, as well as the possibility of practical application of the results obtained in the field of green economy.

The dual role of blockchain in mediating credence attributes and moderating sensing capabilities in the wine sector

Purpose This study aims to investigate the dynamic capabilities of wineries, focusing on sensing and its role in enabling digital innovation. Furthermore, it explores the role of blockchain technology (BCT) in validating credence attributes of wine, emphasising blockchain as a strategic asset that enhances the ability of wineries to innovate and respond to changing market conditions. Design/methodology/approach The study adopts an exploratory approach based on a longitudinal, single-case study of the Argentinian Costaflores Organic Winery. Findings Findings reveal that integrating digital disruptive innovations such as blockchain can strategically position wineries to better meet emerging consumer preferences and market trends. Blockchain simultaneously acts as both a mediator and a moderator. As a mediator, it facilitates the validation of credence attributes of wine such as authenticity and sustainability, enhancing customer trust and loyalty. As a moderator, it influences the strength and effectiveness of the relationship between sensing and innovation capabilities. This enables wineries to more effectively respond to changing consumer requirements and market trends and improve operational performance. Research limitations/implications The study was limited by its focus on a single case study of the Argentinian Costaflores Organic Winery, which may affect the generalisability of the findings. However, the study provides valuable insights into the strategic adaptation and competitive positioning of wineries in response to the continuing market challenges. It significantly contributes to the understanding of integrating digital disruptive innovations as strategic assets in the agri-food sector, particularly in the wine sector. Originality/value This study addresses a significant research gap by exploring how BCT facilitates the organisation of sensing capabilities. It contributes to the understanding of how the wineries’ sensing capabilities both influence and are influenced by the adoption of BCT, particularly in the context of innovation enabling and improved operational performance.

Marketing Strategy Proposal to Rebound the Declining Revenue of Burger King Indonesia in the Covid Aftermath Period

The primary objective of this study is to propose a marketing strategy to address the decrease in revenue experienced by Burger King Indonesia in the year 2022 following the COVID-19 pandemic as practical guidance for Burger King Indonesia and other businessmen to navigate the complexities of the current market landscape. This study is still necessary to understand that shifting consumer behavior, changes in market conditions, and business operational disruptions are the causes of the problem. The research design uses a thematic analysis method involving the available company data, relevant marketing theories, and the results of questionnaires, community surveys, and interviews with managers and customers. By analyzing the effects of the pandemic faced by Burger King Indonesia, this research aims to pinpoint strategic areas for improvement. Diverse analyses are used, such as VRIO Framework, STP, Marketing Mix, PESTEL, PORTER's Five Forces, Competitor analysis, SWOT, TOWS analysis, and author’s interview and questionnaire surveys to determine the present circumstances of Burger King Indonesia. The proposed marketing strategy highlights the importance of five specific actions in their implementation: product innovation, digital transformation, sustainability campaign, promotion via mobile app, and partnership and collaborations with delivery services to adapt to evolving consumer preferences. To address this goal, Burger King Indonesia must make strategic adjustments parallel to the present circumstances by understanding consumer preferences, optimizing operations, promoting sustainability initiatives, and strengthening its brand position. Through the implementation of this comprehensive strategy, Burger King Indonesia aims to improve customer satisfaction, foster loyalty, and attain overall market success in the post pandemic period. This strategy not only addresses the immediate challenges posed by the pandemic but also positions Burger King Indonesia for long-term success.

Flexibility and Adaptation of Contract Law

This study aims to explore the differences in the flexibility and adaptation of contract law in Indonesia which adheres to the civil law system and Singapore which is based on common law, as well as its implications for modern business. Contract law in Indonesia is still heavily dependent on the Civil Code (KUHPerdata), which dates back to the colonial era and has not undergone significant updates. This has led to stiffness in the implementation of contracts, especially in fast-growing business sectors such as digital technology. In contrast, Singapore has adopted a common law system, which is more flexible and able to adapt to changes in the economy and international business dynamics through the use of precedents. In a business context, flexibility and legal adaptation are essential because contracts often have to adapt to new emerging needs, including changes in technology, regulations, and market conditions. This study uses a normative juridical approach with a comparative method, examining laws, court decisions, and related academic literature. The case study of business contracts between Indonesian and Singaporean companies in the technology sector is also used as a study material to provide a practical view of the effectiveness of each country's legal system in facing contemporary business challenges. The results show that Singapore excels in contract flexibility due to the use of precedents that allow for legal adjustments without the need for formal legislative changes. On the other hand, contract law in Indonesia is often unable to keep up with rapid developments due to rigid and outdated regulatory limitations. This difference has an impact on the speed and efficiency of contract dispute resolution in both countries, with Singapore being able to resolve disputes more quickly through a more responsive system. This study concludes that to increase competitiveness in the global economy, Indonesia needs to reform the Civil Code to be more flexible and adaptive like the one implemented in Singapore. These recommendations are important to ensure that Indonesia can create a more competitive business environment and support innovation, especially in the ever-evolving digital era.

An integrated legal and business strategy framework for corporate growth in Nigerian companies

In the dynamic business environment of Nigeria, companies face numerous challenges that necessitate a robust approach to growth and sustainability. This paper presents an Integrated Legal and Business Strategy Framework designed to facilitate corporate growth for Nigerian companies. By aligning legal compliance with strategic business initiatives, the framework aims to enhance operational efficiency, minimize risks, and capitalize on emerging opportunities. The framework encompasses several key components. First, it emphasizes the importance of a thorough understanding of the legal landscape in Nigeria, including relevant regulations, compliance requirements, and potential legal risks. This knowledge enables companies to navigate the complexities of the legal environment effectively, thereby reducing the likelihood of disputes and enhancing their reputation. Second, the framework advocates for the integration of legal considerations into the overall business strategy. This involves incorporating legal insights into decision-making processes, ensuring that business strategies are not only innovative but also compliant with existing laws. By doing so, companies can avoid costly legal pitfalls and foster a culture of compliance and ethical conduct. Additionally, the framework highlights the significance of stakeholder engagement. By actively involving stakeholders—including employees, customers, regulators, and local communities—in the strategic planning process, companies can build trust and improve their corporate image. This engagement is crucial for identifying potential risks and opportunities, thereby informing more effective strategies. Furthermore, the framework encourages the use of technology and data analytics to enhance decision-making processes. By leveraging data-driven insights, companies can optimize their operations, improve compliance monitoring, and adapt quickly to changing market conditions. In conclusion, this Integrated Legal and Business Strategy Framework offers a comprehensive approach for Nigerian companies seeking to achieve sustainable growth. By harmonizing legal and business objectives, organizations can enhance their competitive advantage and resilience in an increasingly complex environment. Keywords: Integrated Framework, Legal Strategy, Business Strategy, Corporate Growth, Nigerian Companies, Compliance, Stakeholder Engagement.

Оценка обеспеченности человеческим капиталом аграрного сектора экономики

Abstract. The formation and use of human capital in the agricultural economy must meet modern economic requirements and the level of development of agricultural production. The assessment of the efficiency of the use of human resources and the quality of products plays a key role in adapting to changing market conditions. Therefore, it is important to constantly strengthen human resources to ensure a prompt response to market challenges. At the same time, agricultural production is currently undergoing changes in all key areas. This article analyzes the availability and efficiency of the use of agricultural enterprises' labor resources, based on statistical data for the Russian Federation. In this regard, the purpose of this scientific study is to analyze the availability of human capital in agriculture. The objectives of the study include carrying out a qualitative and quantitative assessment of labor resources. Methods. The methodological basis is based on the general scientific principles of a systematic approach. The analysis uses logical, factorial, comparative and strategic methods, as well as methods of qualitative research of the main trends in the presence and use of human capital in agriculture. Results. The analysis of the formation and use of human capital in agriculture in its quantitative and qualitative assessment in the Russian Federation is carried out: the dynamics of rural population density and the number of workers, the growth rate of wages of agricultural workers, the grouping of those employed in agriculture by level of education, gender and age is given. Scientific novelty. As a result of the research, new theoretical and practical conclusions were obtained, including: 1) identification and classification of socio-economic conditions that promote or, conversely, hinder the effective use and preservation of human capital in the agricultural sector; 2) comprehensive schemes for the formation of human capital in the agricultural sector are proposed, taking into account internal and external factors; 3) the need for the formation of a comfortable socio-economic environment in rural areas is justified; 4) confirmed the need to provide special support measures to attract highly qualified specialists to rural areas.

Portfolio optimization by enhanced LinUCB

We study portfolio optimization through reinforcement learning, employing the contextual LinUCB approach to build an investment portfolio with changing market conditions. Contextual information enhances the LinUCB technique recommendation process, maximizing the efficacy of the model and the cumulative return. The recommendation criteria are to achieve the maximum level of confidence regarding the uncertainty surrounding the upward trend of asset returns within the pool of assets. Employing stocks from the Chinese A-share market, Hong Kong market, and US market as empirical tests, our findings demonstrate that the proposed model consistently outperforms the benchmark indices in our backtesting process.

Systemic Perspective on Companies and the Digital Transformation: A Prototypical Methodological Approach as a Solution to Complex Business Problems

Due to changing market conditions, customer needs and environmental influences, organisations are facing increased pressure to transform in today’s world. The consequences of the COVID-19 pandemic have made many organisations aware of the importance of digital transformation in order to remain successful even in times of disruptive change. However, the pandemic has also shown how connected and complex the world is. The aim of this work is to answer the question of what a possible systematic method for dealing with complex business problems might look like. Dealing with complexity is a critical factor for any organisation and determines how resilient it can position itself in the face of dynamic environmental influences. To answer the research question, a prototype was first developed based on Niklas Luhmann’s systems theory, from which a systematic method was derived. The prototypes were then further developed and validated in qualitative expert interviews. A systems theory approach was chosen because it claims to construct a holistic picture of the company as a social system and thus to capture the interactions of all system components. Qualitative interviews based on a semi-standardised approach were used to test the prototypes for comprehensibility, applicability, and validity. German experts in the fields of system technology, change management and digital transformation were interviewed.

Machine Learning Driven Options Pricing Model for Changing Market Conditions

This paper presents the design and implementation of an Adaptive Options Pricing Model utilizing deep learning techniques to enhance the accuracy of options pricing in volatile financial markets. Traditional models such as the Black-Scholes and Binomial frameworks have served as foundational tools in options pricing; however, they are constrained by assumptions of constant volatility and market efficiency, which often fail to reflect real-world dynamics. To address these limitations, the proposed model incorporates historical pricing data alongside real-time market sentiment derived from news articles and social media. By leveraging advanced deep learning architectures, particularly Long Short-Term Memory (LSTM) networks, the model dynamically adapts to changing market conditions, capturing complex, nonlinear relationships in the data. The performance of the model is evaluated against traditional pricing methods, demonstrating significant improvements in pricing accuracy and responsiveness to market fluctuations. This research contributes valuable insights for traders and risk managers seeking to optimize their strategies in the derivatives market.

Adaptive Risk Parity Strategies for Managing Portfolio Risk in Volatile Markets

This paper presents a novel model for Adaptive Risk Parity Portfolio Construction, designed to dynamically adjust portfolio weights based on changing market conditions and economic regimes. Traditional portfolio strategies, such as Modern Portfolio Theory (MPT), often rely on static assumptions that can lead to suboptimal performance in volatile markets. In contrast, the adaptive risk parity approach aims to equalize risk contributions across asset classes while responding to fluctuations in economic indicators, such as GDP growth and inflation rates. By employing techniques such as Markov switching models and machine learning for regime identification, the proposed model allows for real-time adjustments to asset allocations. The back-testing results demonstrate that the adaptive risk parity portfolio outperforms static risk parity and traditional mean-variance optimized portfolios in terms of risk-adjusted returns and drawdown management. This research contributes to the field of portfolio management by providing a framework that enhances resilience and adaptability in investment strategies.

Novelties in the regulatory practice of reporting on sustainable development in the Russian Federation

Subject. The article analyzes the latest changes and trends in the regulation of sustainable development reporting in the Russian Federation. Objectives. The study is aimed to review the Russian regulatory framework for organizing and reporting on sustainable development in the context of expanding the agenda of the Sustainable Development Goals, consider the key aspects of sustainable development reporting in the Russian jurisdiction, including new requirements, methods of measuring effectiveness reflected in guidance documents of Russian regulators. Methods. The study employs general scientific research methods, like detailing, generalization, analysis, synthesis, and description. Results. The regulation of the process of reports on sustainable development preparation is being transformed in response to the changing market conditions and emergence of global reporting standards. The current state of regulatory practice is characterized by the lack of legislative consolidation of the obligation to prepare reports, which complicates the process of data comparability of these organizations demonstrating a responsible approach to business. I analyzed the approaches of the Bank of Russia and the Ministry of Economic Development of the Russian Federation to take into account ESG factors in the formation of the reports. Conclusions. The fragmented regulation of the preparation process of reports on sustainable development is caused by the absence of a single legal instrument of mandatory application, the existence of internal initiatives of regulatory authorities aimed at improving the reporting practices of economic actors who chose a sustainable development vector.

Strengthening Brand Image and Loyalty for The Domestic Market at The Apurva Kempinski Bali

Purpose: This research aims to engage the brand image and brand loyalty of The Apurva Kempinski Bali in the domestic market in the context of the COVID-19 pandemic. It concerns strategies adopted by the hotel to sustain its operations amidst changing market conditions. Research methods: Qualitative methods such as interviews and observations were used to understand the challenges faced by the tourism industry in Bali and to identify effective strategies employed by businesses like The Apurva Kempinski Bali. Quantitative methods, such as data analysis of reviews and social media engagement metrics, were used to assess the hotel's performance and customer satisfaction. Result and discussion: The COVID-19 pandemic significantly affected Bali's tourism industry, leading to a reliance on domestic tourists to sustain the local economy. The Apurva Kempinski Bali became popular among domestic tourists, emphasizing local expertise and showcasing Indonesia's cultural richness. Implications: The hotel received overwhelmingly positive reviews, indicating high satisfaction among guests, mainly domestic tourists. Active engagement on social media platforms and prompt responses to customer queries were identified as effective strategies for enhancing customer engagement and loyalty.

Effect of Market-Wide Investor Sentiment on South African Government Bond Indices of Varying Maturities under Changing Market Conditions

The excess levels of investor participation coupled with irrational behaviour in the South African bond market causes excess volatility, which in turn exposes investors to losses. Consequently, the study aims to examine the effect of market-wide investor sentiment on government bond index returns of varying maturities under changing market conditions. This study constructs a new market-wide investor sentiment index for South Africa and uses the two-state Markov regime-switching model for the sample period 2007/03 to 2024/01. The findings illustrate that the effect investor sentiment has on government bond indices returns of varying maturities is regime-specific and time-varying. For instance, the 1–3-year government index return and the over-12-year government bond index were negatively affected by investor sentiment in a bull market condition and not in a bear market condition. Moreover, the bullish market condition prevailed among the returns of selected government bond indices of varying maturities. The findings suggest that the government bond market is adaptive, as proposed by AMH, and contains alternating efficiencies. The study contributes to the emerging market literature, which is limited. That being said, it uses market-wide investor sentiment as a tool to make pronunciations on asset selection, portfolio formulation, and portfolio diversification, which assists in limiting investor losses. Moreover, the findings of the study contribute to settling the debate surrounding the efficiency of bond markets and the effect between market-wide sentiment and bond index returns in South Africa. That being said, it is nonlinear, which is a better modelled using nonlinear models and alternates with market conditions, making the government bond market adaptive.

Enhancing IT Project Portfolio Management Through Dynamic Dashboard Visualization and Integrated Chatbot and Mathematical ML Model for Strategic Decision Making

This project paper presents an innovative approach to enhance IT Project Portfolio Management (IT PPM) using dynamic dashboard visualization and machine learning (ML) techniques. Effective IT PPM is essential for organizations to align IT projects with business objectives and optimize resource allocation. However, conventional methods often lack innovation and real-time visibility, leading to suboptimal decision-making and costly software investments. The objective of this project is to develop a dynamic dashboard visualization system integrated with a machine learning model derived from the Meta-Portfolio Method (MPM). The MPM leverages advanced analytics and historical project data to dynamically allocate resources and prioritize projects based on risk-return profiles. By incorporating the MPM into the dashboard, organizations gain real-time insights into project status, progress, and resource allocation, enabling informed decision-making and proactive portfolio optimization. The ML model derived from the MPM analyzes historical project data, including success rates, resource intensity, criticality, regulatory compliance, and portfolio diversification, to predict optimal project selection and resource allocation. By dynamically adapting to changing market conditions and project dynamics, the ML model facilitates strategic decision-making and enhances portfolio performance. Through the integration of dynamic dashboard visualization and ML-driven decision support, organizations can streamline IT PPM processes, improve project outcomes, and achieve strategic objectives effectively and efficiently. This innovative approach empowers organizations to navigate the complexities of IT project portfolios with agility, foresight, and confidence.

New Methods of Project Management Based on Web Environment

One of the main challenges of management in today's era, is to adjust organizations to the speed of changes in the business world. Rapid changes in technologies and working tools, continuous changes in market conditions, unpredictable fluctuations in prices, continuous changes in customers' tastes, etc. are factors that make decision-making and management difficult for organization managers. In such a situation, the delay in the implementation and delay in the exploitation of any of the organization's business goals can lead to the loss or serious reduction of the organization's expected benefits from this business goal. One of the issues in project-oriented organizations is that the planning of each project may include thousands or tens of thousands of activities, each activity contains different information in terms of physical, time and financial progress; Therefore, one of the new methods of project management is the use of intranet, extranet and internet environments in project management. This research examines new methods of project management based on web environments. The results of the research show that in the project management process, using the web environment, project and non-project processes of organizations and companies can be organized. It also controlled the management of teams and teamwork well.