BusinessFinancesValuationItaipu Technological Park Valuation Case: An Application of the Real Business Value Method

June 6, 2023by Osni Hoss0

How can an organization rich in knowledge, innovation, infrastructure, education, research, partnerships, and regional relationships be evaluated beyond the figures traditionally presented in its financial statements?

This Itaipu Technological Park valuation case demonstrates the practical application of the Valuation Real Business Value Method, introduced in Article 9. Developed by Professor Osni Hoss during his doctoral research at the Federal University of Santa Catarina (UFSC) and refined during his postdoctoral research at the University of São Paulo (USP), the method integrates financial performance, value-adding investments, qualitative and quantitative assessments, Knowledge Assets, and market-adjusted equity.

The case was conducted at the Itaipu Technological Park – PTI and uses the historical reference period from 2013 to 2019. The amounts reproduced in this article follow the monetary scale adopted in the case presentation. They represent the results of that study and should not be interpreted as a current valuation of PTI.

The PTI case shows how the Valuation Real Business Value Method can reveal the economic importance of knowledge-based resources that conventional financial analysis alone cannot fully explain.

Presentation: Case 1 – Real Business Value of Itaipu Technological Park – PTI

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What is the Itaipu Technological Park – PTI?

The case presents PTI as an environment for promoting innovation. Its activities and resources include laboratories and centers associated with the PTI Foundation, Information and Communication Technology infrastructure, research and development, the Paulo Freire Library, events, education and extension activities, and the Itaipu Tourist Complex.

This combination makes PTI especially relevant for an application of the Valuation Real Business Value Method. Much of its contribution is connected to knowledge, cooperation, technological development, human capabilities, institutional relationships, infrastructure, education, culture, and regional development.

These resources are distributed across the method’s four original quadrants:

  • Human: education, capabilities, research competence, cooperation, motivation, and ethical conduct;
  • Processes: governance, strategic management, innovation, communication, controls, project management, and organizational support;
  • Structural: facilities, laboratories, ICT, equipment, library resources, security, and environments for learning and innovation;
  • Relational: institutional connections, tourism, science dissemination, regional development, partnerships, and support for enterprises.

How does this case connect with the method presented in Article 9?

The Valuation Real Business Value Method calculates:

RBV = KA + EMV

Where:

  • RBV = Real Business Value;
  • KA = Knowledge Assets;
  • EMV = Equity at Market Value.

Knowledge Assets are calculated through:

KA = (CAR + VAI) × (1 + VCA)

Where CAR is Comprehensive Assessment Result, VAI is Value-Adding Investment, and VCA is Valuation Coefficient Assessment.

The PTI case operationalizes each component using financial information, investments classified across the four quadrants, and assessments of strategic variables. It then combines KA with EMV to determine RBV.


What did the Financial Statement Analysis reveal?

The application began with Financial Statement Analysis. The presentation examined Current Liquidity, the Ratio of short-term debt to total debt, the EBITDA Ratio versus Gross Revenue, and groups of balance-sheet accounts.

For the analyzed period, the case concluded that PTI presented financial balance, did not indicate a risk of discontinuity, and showed positive conditions for growth. This diagnosis was important because valuation assumptions must be supported by evidence about liquidity, capital structure, operating performance, assets, liabilities, and organizational continuity.

The analysis did not replace the knowledge-asset assessment. Instead, it established the financial foundation from which CAR, VAI, VCA, KA, EMV, and RBV were developed.


How was Comprehensive Assessment Result (CAR) calculated?

CAR evaluates whether Free Cash Flow exceeds the opportunity-cost reference associated with the resources employed. In the PTI case, EBITDA, investments, and Free Cash Flow were analyzed across seven periods, from 2013 to 2019.

The total EBITDA reported for the period was 38,283.18, while investments totaled 35,098.87. The resulting cumulative FCF was 3,184.31. However, after deducting the opportunity cost of 29,641.62, the subtotal CAR became negative at -26,457.31.

CAR measure Case result
FCF subtotal 3,184.31
Opportunity Cost subtotal 29,641.62
CAR subtotal -26,457.31
Average CAR -3,779.62
Standard deviation 2,779.28
CAR – σ -6,558.89
CAR -3,779.62
CAR + σ -1,000.34

The negative CAR indicates that, under the method’s opportunity-cost criterion, FCF alone did not cover the required return on the resource base during the reference period. This does not end the assessment. The method proceeds to examine Value-Adding Investment and the qualitative and quantitative strength of Knowledge Assets.


How were Value-Adding Investments classified?

VAI identifies investments associated with Human, Processes, Structural, and Relational. The PTI case classified a broad set of activities and resources within these quadrants.

Human quadrant – VAI(h)

The Human quadrant included volunteer work, human resources, education and culture, science, technology and innovation, and socioeconomic development. Its seven-period subtotal reached 49,043,765.

Processes quadrant – VAI(p)

The Processes quadrant covered purchasing and hiring, accounting and equity, agreements, finance and budget, general services and logistics, Information Technology, project management, the Itaipu Tourist Complex, communication, development advisory, legal advice, the board, internal audit, and related activities. Its subtotal reached 174,003,024.

Structural quadrant – VAI(s)

The Structural quadrant included infrastructure and works, security, facilities, general services, education and culture, Information Security, and other supporting structures. Its subtotal reached 64,725,832.

Relational quadrant – VAI(r)

The Relational quadrant included generated business, institutional and educational relationships, CIBiogás-ER, Itaipu-related initiatives, the Iguassu science and innovation environment, developed business, projects, tourism, education, and culture. Its subtotal reached 658,111,445.

Value-Adding Investment Seven-period subtotal
VAI(h) – Human quadrant 49,043,765
VAI(p) – Processes quadrant 174,003,024
VAI(s) – Structural quadrant 64,725,832
VAI(r) – Relational quadrant 658,111,445
Total VAI 945,884,066

After applying the case’s stated monetary scale, the average VAI was 135,126.29 and the standard deviation was 31,628.81, producing the reference values VAI – σ of 103,497.48, central VAI of 135,126.29, and VAI + σ of 166,755.10.

The largest recorded subtotal was in the Relational quadrant. This finding is consistent with the nature of a technological park, whose value depends strongly on institutional networks, education, innovation ecosystems, business development, tourism, and regional relationships.


How was Valuation Coefficient Assessment (VCA) applied?

VCA incorporates qualitative and quantitative assessments of variables in each quadrant. The PTI case evaluated a detailed set of drivers and converted the assessments through the coefficient structure established by the method.

Human variables

Examples included undergraduate and postgraduate courses, youth education, scientific production, popularization of science, teacher training, research and development skills, team cooperation, technical-administrative competence, entrepreneurial culture, business competence, motivation, confidence in joint actions, and ethical conduct.

Processes variables

The assessment considered strategic management, governance, people management focused on creativity and innovation, security, communication, institutional policies, computerization, monitoring, sustainability, product and business support, innovation management, fundraising, intellectual property, knowledge management, and portfolio management.

Structural variables

The variables included equipment and physical structure, learning environments, work infrastructure, accessibility, research facilities, library collections, ICT, maintenance, sustainability structures, security, event and cultural spaces, support services, sports, leisure, and social environments.

Relational variables

The assessment covered professional and institutional relationships, technological solutions, institutional image, job and income opportunities, marketing, knowledge of mission and values, sustainable tourism, dissemination of science and technology, regional productive and innovation systems, public policy, technical skills in the territory, and support for business development.

VCA component Coefficient
VCA(h) – Human quadrant 1.685758
VCA(p) – Processes quadrant 1.477103
VCA(s) – Structural quadrant 2.053286
VCA(r) – Relational quadrant 1.816383
VCA(h + p + s + r) 7.032530
1 + VCA 8.032530

The Structural quadrant produced the highest individual VCA coefficient, followed by Relational, Human, and Processes. The consolidated multiplier used to calculate KA was 8.032529985.


What was the Knowledge Assets Value (KA) of PTI in the case?

The case combined the CAR scenarios, the corresponding VAI scenarios, and the VCA multiplier through:

KA = (CAR + VAI) × (1 + VCA)
Scenario CAR VAI KA
KA – σ -6,558.89 103,497.48 778,662.13
KA -3,779.61 135,126.29 1,055,046.14
KA + σ -1,000.33 166,755.10 1,331,430.14

The central Knowledge Assets Value was 1,055,046.14. The standard-deviation scenarios produced a lower reference of 778,662.13 and an upper reference of 1,331,430.14.

The use of a range is strategically important. It communicates variability and recognizes that organizational value depends on assumptions, investment levels, assessments, and uncertainty.


What was the Real Business Value (RBV) calculated for PTI?

The case reported Equity at Market Value of 72,092.96. Adding EMV to each KA scenario produced the following results:

Scenario KA EMV RBV
RBV – σ 778,662.13 72,092.96 850,755.09
RBV 1,055,046.14 72,092.96 1,127,139.10
RBV + σ 1,331,430.14 72,092.96 1,403,523.10

The central Real Business Value calculated by the case was 1,127,139.10. The lower and upper references were 850,755.09 and 1,403,523.10.

In the central result, Knowledge Assets represented approximately 94% of RBV, while Equity at Market Value represented approximately 6%. The case also reported a KA-to-EMV relationship of 14.63.

The most significant finding is not only the final amount. It is the evidence that the dominant component of PTI’s calculated Real Business Value was associated with Knowledge Assets.


What does the 94% contribution of Knowledge Assets mean?

The result reflects the institutional nature of PTI and the variables included in the case. A technological park creates value through education, research, innovation, infrastructure, cooperation, business development, tourism, institutional image, and regional connections.

Traditional equity analysis alone would not fully reveal these dimensions. By integrating CAR, VAI, and VCA, the method creates a structured representation of the value associated with knowledge-based resources.

The 94% figure should be interpreted within the scope, assumptions, period, and monetary scale of the case. It is not a universal percentage for technological parks, nor is it a current market estimate. Its importance lies in demonstrating how the method identifies and organizes intangible value drivers.


What strategic insights emerge from the PTI case?

1. Relational investments are central to an innovation ecosystem

VAI(r) produced the largest subtotal. This highlights the importance of partnerships, institutions, education networks, tourism, science dissemination, enterprises, and regional relationships.

2. Structural quality strengthens the assessment

The Structural quadrant produced the highest individual VCA coefficient. Facilities, laboratories, ICT, security, learning environments, library resources, and maintenance were important to the assessed capacity of PTI.

3. Positive Free Cash Flow is not the same as value above opportunity cost

The cumulative FCF was positive, but CAR became negative after deducting Opportunity Cost. This demonstrates why performance should be evaluated relative to the return required for the resources employed.

4. Financial and non-financial evidence must be integrated

The final result was not derived solely from accounting data or subjective assessments. The case combined financial statements, cash-flow information, investments, strategic variables, coefficients, and equity adjustments.

5. A range communicates uncertainty better than one number

The use of CAR and VAI standard-deviation scenarios resulted in lower, central, and upper references for KA and RBV. This makes variability visible and supports more informed decisions.


How can the case support management decisions?

The application illustrates how the method can support:

  • Strategic planning and alignment with real value drivers;
  • Prioritization of investments across the four quadrants;
  • Monitoring of Free Cash Flow and Opportunity Cost;
  • Identification of strengths and improvement opportunities;
  • Evaluation of institutional, technological, and regional contributions;
  • Communication with boards, funders, partners, and stakeholders;
  • Assessment of knowledge-intensive organizations;
  • Support for negotiations, partnerships, and long-term decisions.

The framework can also reveal imbalances. High investment in one quadrant may not produce value if processes, people, structures, or relationships in another quadrant are insufficient. The four-quadrant view encourages systemic management.


What precautions are necessary when interpreting this case?

  • The reference period is 2013-2019;
  • The values follow the scale and definitions used in the case presentation;
  • The case does not represent the current value of PTI;
  • The results depend on the selected variables, classifications, data, assumptions, and Hurdle Rate;
  • VCA assessments must be interpreted within the population and methodology used;
  • The lower, central, and upper scenarios are analytical references, not guaranteed outcomes;
  • Any new application requires updated financial, operational, relational, and market information.

The case should be understood as a documented application of the Valuation Real Business Value Method and as a demonstration of its capacity to measure knowledge-intensive value creation.


Frequently asked questions about the PTI valuation case

Which method was applied to the Itaipu Technological Park?

The case applied the Valuation Real Business Value Method created by Professor Osni Hoss.

What period was analyzed?

The presentation reports seven periods covering 2013 through 2019.

What was the central Real Business Value?

The central RBV reported in the case was 1,127,139.10 in the monetary scale adopted by the presentation.

How much of the central RBV came from Knowledge Assets?

Knowledge Assets represented approximately 94%, while Equity at Market Value represented approximately 6%.

Which VAI quadrant had the largest subtotal?

The Relational quadrant had the largest Value-Adding Investment subtotal, at 658,111,445 across the seven periods.

Is this the current value of PTI?

No. It is a historical case application based on the period, data, assumptions, and scale presented in the study. A current valuation would require updated information and a new application of the method.


Conclusion: The PTI case makes knowledge-based value visible

The Itaipu Technological Park case demonstrates the practical operation of the Valuation Real Business Value Method. Financial Statement Analysis established the organization’s financial condition. CAR evaluated Free Cash Flow relative to Opportunity Cost. VAI organized investments across Human, Processes, Structural, and Relational. VCA incorporated qualitative and quantitative assessments. These elements produced KA, which was then combined with EMV to calculate RBV.

The central result was an RBV of 1,127,139.10, composed of 1,055,046.14 in Knowledge Assets and 72,092.96 in Equity at Market Value. The estimated 94% contribution from KA illustrates the importance of knowledge, infrastructure, innovation, education, institutional relationships, and regional networks within the case.

More than a final figure, the application reveals where and how value was created. It demonstrates how an original valuation method can transform financial and non-financial information into strategic knowledge for management, governance, investment decisions, and the evaluation of knowledge-intensive organizations.

Study the method and its practical applications

Valuation: The Real Value of Organizations, by Osni Hoss, presents the foundations of the Valuation Real Business Value Method and its application to Knowledge Assets, Equity at Market Value, and strategic organizational assessment.

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Source: HOSS, Osni. Valuation: The Real Value of Organizations. Case 1 – Itaipu Technological Park – PTI. Content adapted and expanded for educational purposes.

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Prof. Osni Hoss, PhD.

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