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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Intelligent project portfolio development of IT companies</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Yevheniia Boiko</string-name>
          <email>boiko.ieg@knuba.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yuliia Diachenko</string-name>
          <email>diachenko_yv-2022@knuba.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tetiana Shandra</string-name>
          <email>shandra_to@knuba.edu.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Valerii Yakovenko</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Kyiv National University of Construction and Architecture</institution>
          ,
          <addr-line>Povitroflotsky Avenue 31, 03037 Kyiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>In the dynamic IT industry, project portfolio management (PPM) plays a pivotal role in organizational success. However, traditional PPM methods often struggle to cope with the increasing volume, complexity, and uncertainty of IT projects. To address these challenges, this paper explores the application of intelligent techniques for project portfolio development in IT companies. The paper highlights the benefits of data-driven prioritization, strategic alignment, risk management and resource optimization, and continuous improvement in enhancing PPM practices. It emphasizes the role of machine learning, AI-powered tools, and real-time monitoring dashboards in enabling intelligent project portfolio development. The article contains practical recommendations and steps that IT companies can use to improve their project management processes. It also provides valuable guidance on how to address typical problems and challenges that IT companies may face during project portfolio formation. This article is an important source of information for IT leaders, project managers, and other professionals in the IT industry who are looking for effective ways to optimize project management in their organizations. The paper concludes by emphasizing the importance of ethical considerations, human oversight, and data quality in implementing intelligent PPM solutions. By embracing these intelligent techniques, IT companies can optimize their project portfolios, maximize resource utilization, and achieve their strategic goals.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;project portfolio</kwd>
        <kwd>project portfolio management</kwd>
        <kwd>intelligent project portfolio development</kwd>
        <kwd>information technology</kwd>
        <kwd>evaluation and selection of projects</kwd>
        <kwd>portfolio balancing1</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>execution within IT companies. By integrating data-driven insights, artificial intelligence
(AI), and machine learning algorithms, intelligent PPM empowers IT organizations to make
informed decisions, mitigate risks, and ensure project alignment with strategic objectives.</p>
      <p>Amidst rapidly evolving technologies, shifting market demands, and resource
constraints, the necessity of a well-curated project portfolio cannot be overstated. It serves
as a compass guiding the allocation of resources, both human and financial, towards
endeavors that promise the highest return on investment while mitigating risks.
Additionally, a thoughtfully crafted portfolio enables organizations to adapt swiftly to
market disruptions, capitalize on emerging opportunities, and steer clear of potential
pitfalls.</p>
      <p>Beyond mere project selection and management, a robust portfolio framework fosters
strategic alignment with the overarching business objectives of the company. By aligning
projects with organizational goals, IT companies can ensure that every initiative contributes
meaningfully to the company's mission, vision, and long-term growth strategy. This
alignment fosters synergy across departments, enhances collaboration, and cultivates a
culture of accountability and transparency [2].</p>
      <p>Moreover, in an era where agility and innovation reign supreme, a well-balanced project
portfolio serves as a catalyst for driving innovation and fostering a culture of continuous
improvement within IT companies. By diversifying project investments across different
horizons—ranging from incremental improvements to by embracing AI-powered
disruptive innovations—companies can hedge against uncertainties while fostering a
culture that embraces experimentation, learning, and adaptation.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Materials and methods</title>
      <p>In this article, we delve into the intricacies of intelligent project portfolio development in IT
companies, exploring the rationale behind its necessity, the fundamental principles
underpinning its implementation, and the tangible benefits it brings to the table. Through
real-world examples, best practices, and practical insights, we aim to equip IT leaders and
practitioners with the knowledge and tools necessary to navigate the complexities of
project portfolio management and unlock the full potential of their organizations in an
everevolving digital landscape.</p>
      <p>Let's begin by examining traditional project portfolio management (PPM) methods
employed by IT companies, such as:
1. Strategic alignment assessment. The process begins with a thorough assessment of
the company's strategic objectives, vision, and long-term goals. This involves
collaboration between key stakeholders across various departments to ensure
alignment between business strategy and project initiatives [3].
2. Project prioritization techniques. Utilization of various prioritization techniques
such as weighted scoring models, cost-benefit analysis, strategic fit assessments, and
risk analysis to evaluate and rank potential projects based on their alignment with
strategic goals, expected returns, resource requirements, and associated risks [4].
3. Resource capacity planning. Assessment of the organization's resource capacity
including human, financial, and technological resources. This involves analyzing the
availability of skilled personnel, budgetary constraints, and infrastructure
requirements to ensure optimal allocation of resources across different projects.
4. Portfolio optimization algorithms. Implementation of portfolio optimization
algorithms and decision-making frameworks to identify the most optimal
combination of projects that maximize the overall value while respecting resource
constraints and strategic objectives. Techniques such as linear programming, integer
programming, and Monte Carlo simulations can be employed to optimize the
portfolio [10].
5. Risk management strategies. Integration of risk management strategies to identify,
assess, and mitigate potential risks associated with individual projects and the
portfolio as a whole. This involves conducting risk assessments, developing
contingency plans, and diversifying project investments to minimize overall
portfolio risk [13].
6. Continuous monitoring and evaluation. Establishment of robust monitoring and
evaluation mechanisms to track the progress, performance, and impact of projects
within the portfolio. Key performance indicators (KPIs) and metrics are defined to
measure project success and ensure ongoing alignment with strategic objectives.
7. Agile and adaptive governance frameworks. Adoption of agile and adaptive
governance frameworks that allow for flexibility and responsiveness to changing
market conditions, customer needs, and technological advancements. This involves
regular portfolio reviews, adaptive decision-making processes, and iterative
adjustments to the portfolio based on feedback and lessons learned.
8. Collaborative tools and technologies. Utilization of collaborative project
management tools and technologies to facilitate communication, coordination, and
transparency across project teams and stakeholders. These tools enable real-time
sharing of information, progress tracking, and collaboration on project-related tasks
[14].</p>
      <p>In recent years, integrating artificial intelligence (AI) into project portfolio management
has gained prominence. AI can assist in optimizing project selection, resource allocation,
risk assessment, and overall portfolio performance. By leveraging AI techniques,
organizations can enhance their decision-making processes and achieve better outcomes in
project portfolio management.</p>
      <p>Now, let's delve into intelligent project portfolio development of IT companies, the
innovative approach that leverages artificial intelligence (AI) to optimize project selection
and execution.</p>
      <p>1. Data-driven decision making:
• Collect and integrate historical project data (costs, timelines, resource
allocation, success metrics).
• Leverage machine learning algorithms to analyze project proposals, identify
potential risks, and recommend optimal resource allocation.
• Integrate financial data to assess project ROI and prioritize initiatives that align
with business goals.
2. AI-powered tools and techniques:
• Supervised learning algorithms. Train algorithms on historical data to predict
project outcomes (success probability, cost overruns, schedule delays).
• Unsupervised learning algorithms. Identify patterns and trends in project data
to discover hidden insights and potential risks.
• Natural language processing (NLP). Analyze project proposals, extract key
features, and support project selection and prioritization.
• Project portfolio management software with AI Integration. Integrate existing
PPM software with AI capabilities for risk assessment, resource allocation, and
real-time project monitoring.
• Custom AI applications. Develop custom AI applications to analyze data, predict
risks, and recommend optimal project portfolios for specific needs.
3. Scenario planning and portfolio optimization:
• Simulation techniques. Model different project portfolio configurations under
various market conditions to facilitate scenario planning and risk mitigation
strategies.
• Multi-objective optimization algorithms. Optimize project portfolios based on
multiple criteria (maximizing ROI, minimizing risk, aligning with strategic
goals).
4. Continuous improvement:
• Implement real-time project monitoring dashboards to track progress, identify
deviations, and facilitate course correction.
• Utilize machine learning to analyze project performance data and identify
patterns for improving future project selection, execution, and risk
management.
• Encourage a culture of learning and feedback within the IT project management
team to continuously refine the intelligent project portfolio development
process.
5. Human-in-the-loop approach:
• While AI plays a significant role, human expertise remains crucial for
decisionmaking.
• Subject matter experts provide insights, validate AI recommendations, and
make final decisions on project selection and portfolio composition.</p>
      <p>This combination of data analysis, AI techniques, specialized tools, and human expertise
empowers IT companies to make informed decisions, optimize resource allocation, and
achieve strategic goals through intelligent project portfolio development.</p>
    </sec>
    <sec id="sec-3">
      <title>3. Results</title>
      <sec id="sec-3-1">
        <title>3.1. Problem overview</title>
        <p>Ukraine's IT industry has experienced remarkable growth in recent years, establishing itself
as a significant player in the global tech landscape. With a wealth of talent, favorable
business environment, and competitive costs, Ukrainian IT companies have garnered
attention from international markets. However, amidst this growth, the effective formation
of project portfolios presents several challenges that warrant attention and strategic
solutions.</p>
        <p>Talent acquisition and retention. One of the primary challenges facing IT companies in
Ukraine is the acquisition and retention of skilled talent. While the country boasts a strong
pool of IT professionals, there is fierce competition for top talent both domestically and
internationally. This talent shortage can hinder the execution of project portfolios, leading
to delays and compromises in project quality.</p>
        <p>Limited access to funding. Access to adequate funding remains a persistent challenge for
many IT companies in Ukraine. While the country has seen an increase in venture capital
investments in recent years, accessing funding for ambitious project portfolios can still be
challenging, especially for startups and smaller companies. Limited financial resources can
constrain the scale and scope of project portfolios, impacting competitiveness and growth
potential.</p>
        <p>Uncertain regulatory environment. The regulatory environment in Ukraine can be
unpredictable, posing challenges for IT companies in terms of compliance, data protection,
and intellectual property rights. Uncertainty surrounding regulations and government
policies can introduce risks and complexities into project portfolios, requiring companies
to navigate legal frameworks carefully.</p>
        <p>Infrastructure and technological constraints. Despite advancements, Ukraine's
infrastructure and technological capabilities still face limitations in certain regions.
Inadequate infrastructure, such as unreliable internet connectivity and power outages, can
disrupt project execution and hinder collaboration within project teams. Additionally,
technological constraints may limit the adoption of cutting-edge technologies in project
portfolios, impacting competitiveness and innovation.</p>
        <p>Market volatility and geopolitical factors. The geopolitical landscape and market
volatility in Ukraine and the surrounding region can introduce uncertainties that impact
project portfolios. Fluctuations in currency exchange rates, geopolitical tensions, and global
economic trends can influence project feasibility, demand for IT services, and market
dynamics, necessitating adaptability and risk mitigation strategies.</p>
        <p>Cultural and communication challenges. Cultural differences and communication
barriers can pose challenges in project portfolio management, particularly for companies
engaged in international collaborations. Effective communication and collaboration across
diverse teams and cultures are essential for successful project execution but can be
hindered by language barriers, time zone differences, and cultural nuances.</p>
      </sec>
      <sec id="sec-3-2">
        <title>3.2. Method for the formation of a portfolio of projects of the IT companies</title>
        <p>Stage 1. Project identification. At this stage, potential projects that could be included in the
portfolio are identified. These could be new initiatives, client requests, or internal projects
for improving business processes.</p>
        <p>Stage 2. Projects grouping. Projects are grouped according to six templates A, B, C, D, E
and F, which characterize the following categories of projects in an IT company:</p>
        <p>A. Product Development Projects. These projects focus on creating new products or
significant updates to existing products. They may include the creation of new software,
mobile applications, websites, etc.</p>
        <p>B. Support Projects. These projects focus on the maintenance and support of existing
systems. They may include bug fixes, security updates, performance improvements, etc.</p>
        <p>C. Implementation Projects. These projects focus on the implementation of new
technologies or systems. They may include the deployment of new IT infrastructure, data
migration, user training, etc.</p>
        <p>D. Consulting Projects. These projects focus on providing consultancy services to clients.
They may include strategic planning, project management, business process analysis, etc.</p>
        <p>E. Implementation of Agile and DevOps. Projects aimed at implementing agile
development methodologies and automating development and implementation processes.</p>
        <p>F. Infrastructure optimization. Projects aimed at improving the company's
infrastructure, including networks, servers, computing resources, and security.</p>
        <p>These categories can overlap, and a single project may include elements of several types.
Additionally, the type of project can change over its lifecycle. For example, a product
development project may transition into a support project after the product launch.</p>
        <p>The projects of one category of the portfolio have a corresponding set of criteria. Dividing
projects into groups allows making portfolio management more transparent by linking
projects to specific objectives in a certain way.</p>
        <p>Stage 3. Evaluation and selection of projects. At this stage, the criteria and weighed
indicators for projects are designed. The algorithm for the solution of this problem depends
on the level of maturity of portfolio management in a company.</p>
        <p>The problem of evaluation and selection of projects for the portfolio (current or future)
is based on qualitative and quantitative analysis of the projects of a portfolio. Qualitative
analysis is intended for selection of the most attractive projects in terms of realization of
the strategy goals and objectives. The criteria of qualitative analysis can include, for
example, importance for business, controllability, urgency, innovation, etc. In this case,
estimates can be based on a system of conditional metrics or weight. Quantitative analysis
is intended for projects evaluation and prioritizing in terms of economic efficiency [16].</p>
        <p>The most important criteria that should be paid attention to in qualitative analysis of the
portfolio projects are risks, costs and value of a project for business. Projects of one group
of the portfolio are compared with each other by a unified set of criteria. The weighed
parameters (weights), based on which the evaluation is performed and a short list of the
«recommended» projects is formed, are designed within each criterion. The similar analysis
can be shown visually in the form of graphic representations. Decision on the project
selection is made using the method of analytical hierarchy. The hierarchical structure of the
selection problem takes the form shown in Figure 1.</p>
        <p>Figure 2 shows an analytical sample for the projects of two groups of the portfolio at
comparison of: the Value (vertical axis), Risks (horizontal axis), Costs (dimensions of a
circle) parameters on the bubble diagram.</p>
        <p>As a result, we need to select from the following 6 projects. The diagram shows that:
•
project «e» has high value and is characterized by moderate costs and its
implementation is associated with low risks;
•
•
project «c» is associated with high costs and low value for business, in addition, it is
highly risky. This project is the least attractive, and in this case, it is necessary to
make a decision: either not to include it in the portfolio, or redirect it by changing
its objectives and parameters to enhance its attractiveness;
project «f» is characterized by moderate costs, mode rate risks and high value. The
project is recommended to be included into the portfolio of projects.</p>
        <p>Stage 4. Portfolio Balancing. The project portfolio is balanced to ensure it aligns with the
company’s strategic goals, risks, and resources. This may involve prioritizing projects,
allocating resources, and determining schedules.</p>
        <p>The diagram of the balancing criteria is shown in Figure 3.</p>
        <p>Stage 5. Portfolio Review and Management. The project portfolio is regularly reviewed
and updated to ensure it aligns with changes in the business environment, company
strategy, or available resources.</p>
      </sec>
      <sec id="sec-3-3">
        <title>3.3. Project portfolio management tools and techniques</title>
        <p>There are many tools for forming a project portfolio in IT companies. Here are a few of them:
1. Trello. This is a powerful project management tool that allows you to create boards,
lists, and cards to organize projects. It also allows you to use labels, colors, and
deadlines to prioritize projects.</p>
        <p>An example of forming an IT company's project portfolio using Trello software is
shown in Figure 4.</p>
        <p>The examples of successful use of Trello:
• SwagUp: Thanks to Trello, they were able to automate processes and grow into
a multi-million-dollar company.
• Instinct Dog Training: Trello gave them visibility, accountability, and
organization.
• Desk Plants: They chose Trello because of its intuitive design and suitability to
their needs.</p>
        <p>Thus, Trello can be an excellent tool for forming and managing a portfolio of projects in
IT companies.</p>
        <p>2. Primavera P6. Primavera P6 is a powerful tool for managing IT project portfolios.</p>
        <p>Here’s how it can be used:
• Project Portfolio Management: Primavera P6 allows administrators and users
with privileges to create portfolios that suit their specific needs. These portfolios
are named lists or groups of projects that can be made available to users. This is
particularly useful in systems with a large number of projects, as it helps limit
the number of projects that can be viewed in many pick lists, views, dashboards,
and dialogs.
• Project Selection: Projects can be manually selected or generated from a filter.</p>
        <p>A manual portfolio allows you to select specific projects from the Enterprise
Project Structure (EPS) (see Figure 5), while a filtered portfolio allows you to
select criteria that will control what projects appear in your portfolio without
having to manually update it.
• Visibility and Organization: By focusing on relevant projects, schedulers can
limit the scope of the effort in a way that significantly reduces the required
computing capacity. This provides visibility, accountability, and organization.
• Ease of Use: The process of creating and assigning a portfolio of projects is
straightforward. Users can easily choose their respective projects from the EPS
hierarchy of available projects and move the selection to the list of selected
projects.</p>
        <p>3. Jira: This is a tool used for project management, including tracking bugs, tasks, and
other issues.
4. Microsoft Project: This is a professional project management tool that allows you to
plan and manage resources, track project progress, and analyze workloads.
5. Asana: This is a project management tool that allows teams to organize work, track
progress, and achieve goals.
6. Basecamp: This is a project management tool that helps teams communicate,
organize tasks, and share files.
7. Zoho Projects: This is a project management tool that allows you to plan, coordinate,
and execute project tasks.
8. AI tools like Gemini and ChatGPT can be valuable assets for IT companies in
optimizing their project portfolio management (PPM) processes. These tools can
bring several benefits to PPM, including:
• Enhanced data analysis and insights:</p>
        <p>Gemini. Gemini's large language model capabilities can analyze vast amounts of
project data (historical, financial, market trends) to identify patterns, trends,
and hidden insights that might be missed by traditional methods.</p>
        <p>ChatGPT. ChatGPT's ability to process and understand natural language can
extract key information from project proposals, emails, and other unstructured
data, providing valuable insights for project selection and prioritization.
• Proactive risk assessment and mitigation:</p>
        <p>Gemini. Gemini can analyze historical project data and market trends to predict
potential risks associated with new projects, enabling proactive risk mitigation
strategies.</p>
        <p>ChatGPT. ChatGPT can identify potential risks in project proposals and suggest
mitigation strategies based on its knowledge of industry best practices and
project management frameworks.
• Resource optimization and allocation:</p>
        <p>Gemini. Gemini can optimize resource allocation across multiple projects by
considering factors like skill sets, availability, and project priorities.</p>
        <p>ChatGPT. ChatGPT can suggest resource allocation strategies based on project
requirements, team capabilities, and budget constraints.
• Scenario planning and portfolio optimization:</p>
        <p>Gemini. Gemini can simulate different project portfolio configurations under
various market conditions to help IT companies make informed strategic
decisions.</p>
        <p>ChatGPT. ChatGPT can analyze various portfolio scenarios and suggest the most
optimal portfolio based on risk tolerance, ROI expectations, and strategic goals.
• Continuous learning and improvement:</p>
        <p>Gemini: Gemini can continuously learn from project data and performance
feedback to improve its predictions, risk assessments, and resource allocation
recommendations.</p>
        <p>ChatGPT: ChatGPT can refine its understanding of project management
terminology and best practices through continuous learning from project data
and interactions with users.
• Integration with PPM software:</p>
        <p>Both Gemini and ChatGPT can be integrated with existing PPM software to
provide real-time insights, recommendations, and support for project selection,
execution, and risk management. This integration can streamline the PPM
process and empower IT companies to make better decisions faster.
• Considerations:</p>
        <p>Data quality. The accuracy and completeness of the data used to train and
operate these AI tools are crucial for their effectiveness.</p>
        <p>Human Expertise. While AI tools provide valuable insights, human expertise and
judgment remain essential for making final decisions and navigating complex
project management situations.</p>
        <p>Ethical considerations. It's important to ensure that AI tools are used ethically
and responsibly, considering potential biases and fairness issues.</p>
        <p>These tools help manage projects, track progress, coordinate teams, and analyze
results. The choice of a specific tool depends on the specifics of the project and the needs
of the organization.</p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>4. Discussion</title>
      <p>The development of IT project portfolio management in Ukraine has promising prospects,
such as:
1. Current situation. The IT sector in Ukraine has attracted public attention for several
decades, becoming a separate economic and sociocultural phenomenon. Despite the
resilience demonstrated by the IT market at the initial stage of the full-scale war, in
2023, disappointing signals began to emerge about the deterioration in some
indicators of recruitment, business activity, and the financial status of the IT market.
2. Innovative development. The top level of innovative industries in Ukraine is the
information technology industry. This is especially significant, because it creates a
very positive image of the country and can attract a great deal of foreign investment.
3. Government initiatives. The Ukrainian government has adopted a “roadmap” for
reforming public investments, which includes the creation of a single project
portfolio to ensure prioritization and access to funding.
4. Future prospects. Forecasts were created using extrapolation polynomial trendline
construction models and by the construction of an artificial neural network. Based
on actual and predicted values of the IT market volumes, the authors estimated the
level of its future development using taxonomic analysis.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Conclusions</title>
      <p>In conclusion, the prospects for the development of IT project portfolio management in
Ukraine are promising, with a focus on innovative development, government initiatives, and
future growth.</p>
      <p>The use of project portfolios in the IT sector can significantly increase the efficiency and
success of companies in the digital sphere. Portfolios provide a higher level of risk
identification and management due to diversification and the ability to identify potential
problems at an early stage. Projects within a portfolio can be selected and structured to
maximize their value and contribution to the overall success of the business. This makes
project portfolio management an important tool for IT companies that want to achieve their
strategic goals and increase their competitiveness in the market. However, it’s important to
note that the current situation and historical conditions of development cause a number of
problems that slow down development and create barriers for the integration of the
Ukrainian IT market with the world market.</p>
      <p>Given these factors, it is important to continue to invest in the development of project
portfolio management and utilize the best practices and tools to achieve success.</p>
      <p>By employing these materials and methods, IT companies can effectively form and
manage a project portfolio that is strategically aligned, optimized for value and resource
utilization, resilient to risks, and responsive to changing market dynamics.</p>
      <p>While the IT industry in Ukraine continues to thrive and evolve, the effective formation
of project portfolios remains a multifaceted challenge. Addressing talent shortages,
securing funding, navigating regulatory complexities, improving infrastructure, and
mitigating market uncertainties require a strategic approach and collaborative efforts from
industry stakeholders, government bodies, and educational institutions. By overcoming
these challenges, Ukrainian IT companies can unlock their full potential, drive innovation,
and sustain long-term growth in the global tech arena.</p>
      <p>
        Overall, AI tools like Gemini and ChatGPT have the potential to revolutionize PPM for IT
companies by providing data-driven insights, proactive risk management, and optimized
resource allocation. As these tools continue to develop and mature, they will play an
increasingly important role in helping IT companies achieve their strategic goals.
[12] W. Chen, "Artificial bee colony algorithm for constrained possibilistic portfolio
optimization problem", Phys. A Stat. Mech. Appl., vol. 429, pp. 125-139, Jul. 2015.
[13] Kovacsne Mozsar, A. L., &amp; Michelberger, P. (2018). IT risk management and application
portfolio management. Polish Journal of Management Studies, 17(
        <xref ref-type="bibr" rid="ref2">2</xref>
        ), 112–122.
https://doi.org/10. 17512/pjms.2018.17.2.10
[14] C.P. Killen et al. Project portfolio management for product innovation. The
      </p>
      <p>
        International Journal of Quality &amp; Reliability Management (2008)
[15] Boiko, Y. Methods of forming an expert assessment of the criteria of an information
system for managing projects and programs. Comput. Sci. 2018, 5, 9–11. [Google
Scholar] [CrossRef] [Green Version]
[16] Achkasov, I., Boiko Ye., et al. "Method for Forming the Portfolio of Projects to Reduce
Losses in Electric Networks Based on the Lean Approach and a Feeder-tofeeder
Analysis." Eastern-European Journal of Enterprise Technologies, vol. 4, no. 3, 2018, pp.
54-65, doi:10.15587/1729-4061.2018.140871.
[17] Alexandrova, M. (2020). Impact of Organizational Culture on Project Portfolio
Management. Proceedings of the International Scientific Conference Hradec Economic
Days 2020, 10, 11–18. https://doi.org/10.36689/uhk/hed/2020-01-001
[18] Alexandrova, M. (2021). Evaluation of Project Portfolio Management Performance:
Long and Short Term Perspective. Proceedings of the International Scientific
Conference Hradec Economic Days 2021, 11, 11–21.
https://doi.org/10.36689/uhk/hed/2021-01-001
[19] Bathallath, S., Smedberg, Å., &amp; Kjellin, H. (2016). Managing project interdependencies
in IT/IS project portfolios: a review of managerial issues. International journal of
information systems and project management, 4(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 67-82.
https://doi.org/10.12821/ijispm040104
[20] Cooper, R. G., &amp; Sommer, A. F. (2020). New-Product Portfolio Management with Agile:
Challenges and Solutions for Manufacturers Using Agile Development Methods.
Research Technology Management, 63(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 29–38.
https://doi.org/10.1080/08956308.2020.1686291
[21] Cordeiro, G., Vasconcelos, A., &amp; Fragoso, B. (2020). Project, program, portfolio
governance model reference architecture in the classic approach to project
management. ICEIS 2020 - Proceedings of the 22nd International Conference on
Enterprise Information Systems, 2(Iceis), 619–630.
https://doi.org/10.5220/0009155706190630
[22] Danesh, D., Ryan, M. J., &amp; Abbasi, A. (2017). Multi-criteria Decision-making Methods for
Project Portfolio Management: A Literature Review. International Journal of
Management and Decision Making, 16(
        <xref ref-type="bibr" rid="ref1">1</xref>
        ), 1.
https://doi.org/10.1504/ijmdm.2017.10006139
[23] Daradkeh, M. (2019). Understanding the factors affecting the adoption of project
portfolio management software through topic modeling of online software reviews.
International Journal of Information Technology Project Management, 10(
        <xref ref-type="bibr" rid="ref3">3</xref>
        ), 91–114.
https://doi.org/10.4018/IJITPM.2019070106
      </p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Dairo</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Adekola</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Apostolopoulos</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          , and
          <string-name>
            <surname>Tsaramirsis</surname>
            ,
            <given-names>G.</given-names>
          </string-name>
          (
          <year>2021</year>
          ).
          <article-title>Benchmarking strategic alignment of business and IT strategies: opportunities, risks, challenges and solutions</article-title>
          .
          <source>Int. J. Inform. Technol</source>
          .
          <volume>13</volume>
          ,
          <fpage>2191</fpage>
          -
          <lpage>2197</lpage>
          . doi:
          <volume>10</volume>
          .1007/s41870-021-00815-7
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Astuti</surname>
            ,
            <given-names>E.</given-names>
          </string-name>
          (
          <year>2018</year>
          ).
          <article-title>The influence of information technology strategy and management support to the internal business process, competitive advantage, financial and nonfinancial performance of the company</article-title>
          .
          <source>Int. J. Web Inform. Systems</source>
          <volume>14</volume>
          ,
          <fpage>317</fpage>
          -
          <lpage>333</lpage>
          . doi:
          <volume>10</volume>
          .1108/ijwis-11-2017-0079.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>El</given-names>
            <surname>Mekawy</surname>
          </string-name>
          <string-name>
            <surname>Mohamed</surname>
          </string-name>
          , Lazar Rusu,
          <string-name>
            <given-names>Nabeel</given-names>
            <surname>Ahmed</surname>
          </string-name>
          .
          <article-title>"Business and IT alignment: An evaluation of strategic alignment models"</article-title>
          .
          <source>Communications in Computer and Information Science</source>
          (
          <year>2009</year>
          ), pp.
          <fpage>447</fpage>
          -
          <lpage>455</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Amaral</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Araújo</surname>
            <given-names>M.</given-names>
          </string-name>
          (
          <year>2009</year>
          ).
          <article-title>Project portfolio management phases: A technique for strategy alignment</article-title>
          .
          <source>World Academy of Science, Engineering and Technology</source>
          ,
          <volume>3</volume>
          (
          <issue>10</issue>
          ),
          <fpage>1919</fpage>
          -
          <lpage>1921</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>Archer</surname>
            <given-names>N. P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ghasemzadeh</surname>
            <given-names>F.</given-names>
          </string-name>
          (
          <year>1999</year>
          ).
          <article-title>An integrated framework for project portfolio selection</article-title>
          .
          <source>International Journal of Project Management</source>
          ,
          <volume>17</volume>
          (
          <issue>4</issue>
          ),
          <fpage>207</fpage>
          -
          <lpage>216</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>Biedenbach</surname>
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Müller</surname>
            <given-names>R.</given-names>
          </string-name>
          (
          <year>2012</year>
          ).
          <article-title>Absorptive, innovative and adaptive capabilities and their impact on project and project portfolio performance</article-title>
          .
          <source>International Journal of Project Management</source>
          ,
          <volume>30</volume>
          (
          <issue>5</issue>
          ),
          <fpage>621</fpage>
          -
          <lpage>635</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Daneshpour</surname>
            <given-names>H.</given-names>
          </string-name>
          (
          <year>2017</year>
          ).
          <article-title>Integrating sustainable development into project portfolio management through application of open innovation</article-title>
          . In Vemić M. B. (Ed.),
          <article-title>Optimal management strategies in small and medium enterprises</article-title>
          (pp.
          <fpage>370</fpage>
          -
          <lpage>387</lpage>
          ).
          <source>IGI Global.</source>
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Dietrich</surname>
            <given-names>P.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lehtonen</surname>
            <given-names>P.</given-names>
          </string-name>
          (
          <year>2005</year>
          ).
          <article-title>Successful management of strategic intentions through multiple projects: Reflections from empirical study</article-title>
          .
          <source>International Journal of Project Management</source>
          ,
          <volume>23</volume>
          (
          <issue>5</issue>
          ),
          <fpage>386</fpage>
          -
          <lpage>391</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <surname>Dobrovolskienė</surname>
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Tamošiūnienė</surname>
            <given-names>R.</given-names>
          </string-name>
          (
          <year>2016a</year>
          ).
          <article-title>Sustainability-oriented financial resource allocation in a project portfolio through multi-criteria decision-making</article-title>
          .
          <source>Sustainability (Switzerland)</source>
          ,
          <volume>8</volume>
          (
          <issue>5</issue>
          ),
          <fpage>1</fpage>
          -
          <lpage>18</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <surname>T.-J. Chang</surname>
            ,
            <given-names>S.-C.</given-names>
          </string-name>
          <string-name>
            <surname>Yang and K.-J. Chang</surname>
          </string-name>
          ,
          <article-title>"Portfolio optimization problems in different risk measures using genetic algorithm"</article-title>
          ,
          <source>Expert Syst. Appl.</source>
          , vol.
          <volume>36</volume>
          , no.
          <issue>7</issue>
          , pp.
          <fpage>10529</fpage>
          -
          <lpage>10537</lpage>
          , Sep.
          <year>2009</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <given-names>C.</given-names>
            <surname>Chen</surname>
          </string-name>
          and
          <string-name>
            <given-names>Y.</given-names>
            <surname>Wei</surname>
          </string-name>
          ,
          <article-title>"Robust multiobjective portfolio optimization: A set order relations approach"</article-title>
          , J. Combinat. Optim., vol.
          <volume>38</volume>
          , no.
          <issue>1</issue>
          , pp.
          <fpage>21</fpage>
          -
          <lpage>49</lpage>
          , Jul.
          <year>2019</year>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>