Entrepreneurship Development

Chapter 8
Entrepreneurial Ecosystems and Institutional Support

Master of Business Administration
Entrepreneurship Development   •   Maters

Entrepreneurial Ecosystems and Institutional Support

Introduction

A startup is not created by an entrepreneur working in isolation. Its performance depends on a surrounding system of institutions, relationships, resources, regulations and markets. This system is commonly called an entrepreneurial ecosystem. For an MBA manager, ecosystem analysis is important because it helps identify where opportunities, capabilities, finance, knowledge, legitimacy and public support are located.

An ecosystem perspective shifts attention from the individual firm to the network in which the firm is embedded. A technology venture may require university research, an incubator, intellectual-property advice, seed finance, testing laboratories, corporate customers, skilled employees and government incentives. The absence or weakness of any one of these elements can increase cost, delay commercialisation or reduce survival prospects.

This chapter maps the major participants in entrepreneurial ecosystems and explains the role of Entrepreneurship Development Institutions (EDIs), central and state government schemes, subsidies and non-financial support. The discussion is especially relevant to India, where the ecosystem includes national programmes, state startup missions, public financial institutions, universities, research laboratories, industry associations and private capital providers.

Learning Objectives

After completing this chapter, learners should be able to:

  1. Define and analyse an entrepreneurial ecosystem.
  2. Map the roles and interdependencies of ecosystem participants.
  3. Distinguish incubators, accelerators, EDIs, investors, research organisations and service providers.
  4. Evaluate central and state government incentives and subsidies for startups and MSMEs.
  5. Design an ecosystem-engagement strategy for a new venture.
  6. Critically assess ecosystem gaps, policy risks, inclusion issues and governance requirements.

1. Meaning and Architecture of an Entrepreneurial Ecosystem

An entrepreneurial ecosystem is the set of interconnected actors, institutions, resources and rules that influence the creation, growth and scaling of new ventures in a geographical or virtual context. It includes both formal elements—such as laws, funding programmes and incubators—and informal elements—such as trust, mentoring, reputation and entrepreneurial culture.

A useful analytical model contains six interacting layers:

LayerMain elementsContribution to entrepreneurship
ActorsFounders, employees, mentors, investors, customers and policymakersSupply initiative, skills, finance, demand and leadership
InstitutionsUniversities, EDIs, incubators, banks, research laboratories and industry bodiesProvide knowledge, training, intermediation and legitimacy
InfrastructureDigital networks, laboratories, transport, industrial estates and co-working spacesReduce operating and experimentation costs
FinanceGrants, debt, angel investment, venture capital and public fundsFinance formation, experimentation and growth
RulesCompany law, tax policy, IP law, procurement and sector regulationShape incentives, risk and market access
Culture and networksTrust, role models, peer groups and professional associationsEnable information exchange and collaboration

These layers are interdependent. A grant may be ineffective if the firm lacks technical mentors. A university patent may not create economic value without a technology-transfer office and a capable founding team. A state startup policy may attract firms but fail to retain them if infrastructure and skilled labour are inadequate.

Ecosystem versus business environment

The business environment refers broadly to external economic, political, social, technological and legal conditions. The entrepreneurial ecosystem is narrower and focuses on the conditions and relationships that support entrepreneurial activity. An ecosystem is not simply a list of organisations; it is a network of flows:

  • knowledge flows from universities and research organisations to firms;
  • capital flows from investors, banks and public programmes to ventures;
  • talent flows among firms, institutions and labour markets;
  • demand flows from customers and corporate procurement systems;
  • legitimacy flows through certification, awards, mentors and institutional affiliation.

The quality of these flows is often more important than the number of organisations present.

Entrepreneurial ecosystem map Startup / Venturevalue creation and growth Universitiesand researchGovernmentand EDIsFinance providersand investorsCorporates andcustomersService providersand mentorsInfrastructure,culture and networks
Entrepreneurial ecosystem map showing founders at the centre and connected institutions
Figure: Entrepreneurial ecosystem map showing founders at the centre and connected institutions

Figure: Major participants and resource flows in an entrepreneurial ecosystem.

2. Major Participants and Their Roles

2.1 Entrepreneurs and startup teams

Founders identify problems, assemble resources, make decisions under uncertainty and build relationships across the ecosystem. The team’s absorptive capacity—the ability to recognise, assimilate and apply external knowledge—determines whether outside support becomes productive capability. Founders must therefore manage not only product development but also institutional navigation, compliance, fundraising and stakeholder expectations.

2.2 Universities and higher-education institutions

Universities contribute educated talent, faculty expertise, research facilities, student entrepreneurship, intellectual property and convening power. They may operate incubators, innovation cells, entrepreneurship clubs, technology-business incubators and technology-transfer offices.

Their contribution is strongest when they connect research to market problems. This requires proof-of-concept funding, industry collaboration, clear IP ownership, faculty incentives and mechanisms for licensing or creating spin-offs. A university patent alone is not a commercial outcome; commercialisation requires validation, manufacturing, regulatory approval, distribution and customer adoption.

2.3 Research organisations and laboratories

Public and private research organisations provide specialised knowledge, testing facilities, prototypes, standards support and access to scientific equipment. In sectors such as biotechnology, defence, clean energy, agriculture and advanced materials, research institutions reduce technical uncertainty.

Research organisations can support ventures through sponsored research, contract research, collaborative projects, licensing, certification and access to common facilities. Startups must carefully negotiate confidentiality, publication rights, background IP, foreground IP and milestone ownership.

2.4 Large companies and corporate partners

Large companies contribute market access, supply chains, technical specifications, distribution, procurement, mentorship and corporate venture capital. They may establish accelerators, innovation challenges, pilot programmes or strategic partnerships.

Corporate-startup relationships are not automatically beneficial. A startup may become dependent on one customer, face lengthy procurement cycles or lose bargaining power. Sound practice includes a written pilot scope, measurable success criteria, data ownership rules, payment terms, IP provisions and a plan for scaling beyond the pilot.

2.5 Funding bodies

Funding is provided through several instruments:

InstrumentTypical purposeMain implication for the venture
Grant or subsidyResearch, prototype, training or infrastructureUsually non-dilutive, but conditional and monitored
Bank loanWorking capital, equipment or expansionRequires repayment and often security or credit assessment
Angel investmentEarly validation and team developmentEquity dilution plus mentoring and governance
Venture capitalRapid growth and scaleEquity dilution, milestones and strong growth expectations
Venture debtExtension of runway for funded firmsRepayment obligation and possible warrants or covenants
CrowdfundingMarket validation or community financeRequires disclosure, communication and platform compliance

The correct funding source depends on the venture’s stage, risk, cash-flow pattern, asset base and growth ambition. Grants are generally appropriate for uncertain research; debt is more suitable where repayment capacity is visible; equity is valuable where future growth is substantial but current cash flows are weak.

2.6 Incubators, accelerators and entrepreneurship development institutions

An incubator supports early-stage ventures over a relatively flexible period. It may provide workspace, laboratories, mentoring, training, technical assistance, legal support, investor access and business-model development.

An accelerator usually offers a time-bound, cohort-based programme designed to speed validation and growth. It commonly combines intensive mentoring, product-market testing, investor presentation and a demonstration day. Acceleration does not substitute for product quality or customer demand.

An Entrepreneurship Development Institution (EDI) is an organisation whose central purpose is to develop entrepreneurial capability and promote enterprise formation. EDIs provide entrepreneurship education, opportunity identification, business-plan preparation, management training, trainer development, research, consultancy, counselling and support for specific groups such as women, rural entrepreneurs, youth or disadvantaged communities.

EDIs operate at the intersection of education, enterprise promotion and public policy. They may not invest directly, but they improve the readiness of entrepreneurs to obtain finance, comply with regulations and manage a firm. In India, national and state-level institutions, training organisations, MSME support bodies, industrial development agencies and entrepreneurship centres perform overlapping EDI functions.

2.7 Service providers

Specialised providers include chartered accountants, company secretaries, lawyers, patent agents, designers, engineers, market researchers, recruitment firms, digital-marketing agencies, logistics companies, auditors and regulatory consultants. They convert complex tasks into expert services.

A startup should distinguish essential compliance from discretionary consulting. It should verify professional credentials, define deliverables, protect confidential information and avoid selecting providers solely on low fees. Poor advice on taxation, employment, IP or data protection can create liabilities that are expensive to correct.

2.8 Government, industry associations and civil society

Government shapes the ecosystem through policy, infrastructure, procurement, regulation, grants, tax treatment, credit support and public institutions. Industry associations provide networking, standards, advocacy, market intelligence and collective learning. Civil-society organisations can widen participation by supporting rural, social and inclusion-oriented entrepreneurship.

3. Mapping an Ecosystem: A Managerial Method

An ecosystem map should be analytical rather than merely descriptive. A practical six-step method is as follows.

Step 1: Define the venture and stage. Identify sector, location, technology intensity, target customer, funding stage and immediate bottleneck.

Step 2: List required resources. These may include skills, laboratory access, certification, working capital, customers, IP advice, manufacturing and distribution.

Step 3: Identify actors. Locate relevant universities, laboratories, EDIs, incubators, banks, investors, public schemes, corporates, suppliers and regulators.

Step 4: Map relationships and flows. Record who provides what, on what terms, with what eligibility conditions and time requirements.

Step 5: Assess gaps and dependency. Evaluate whether the venture relies excessively on a single grant, mentor, investor or corporate customer.

Step 6: Build an engagement plan. Prioritise relationships according to strategic value, access cost, credibility and speed.

A simple prioritisation score can assist managerial discussion, although it is not a universal scientific law:

Pi = w₁Vi + w₂Ai + w₃Si − w₄Ci

Here, Pi is the priority score for ecosystem actor i; Vi is expected strategic value; Ai is accessibility; Si is support fit; Ci is engagement cost or burden; and w₁, w₂, w₃, w₄ are managerial weights. The variables should be scored on a common scale, such as 1 to 5, and the weights should be non-negative. The formula is a decision aid, not a substitute for judgement.

4. Central Government Support in India

Government support changes over time, so entrepreneurs must verify current notifications, eligibility rules, application windows and implementing agencies. The following categories represent major forms of central support rather than an exhaustive list.

Startup recognition and regulatory facilitation

The Department for Promotion of Industry and Internal Trade (DPIIT) provides startup recognition under the prevailing Startup India framework, subject to notified conditions concerning entity form, age, innovation or improvement, turnover and restructuring. Recognition can facilitate access to certain public benefits, intellectual-property support, self-certification provisions and public procurement relaxations, where applicable. Recognition is not itself a grant, investment or guarantee of commercial success.

The Startup India ecosystem also includes online information, learning resources, networking, incubator connections and initiatives related to investment and procurement. Entrepreneurs must distinguish a policy announcement from an enforceable benefit and examine the relevant notification.

Credit and debt support

The Credit Guarantee Fund Trust for Micro and Small Enterprises (CGTMSE) supports eligible institutional lending by providing credit guarantees, subject to scheme conditions and guarantee fees. It reduces lender risk; it does not mean that every applicant receives an automatic or interest-free loan.

The Credit Linked Capital Subsidy and related technology-upgradation programmes have historically supported eligible MSMEs acquiring approved technologies, although the exact scheme structure and availability may change. The entrepreneur must confirm whether the current programme provides a capital subsidy, credit support or another form of assistance.

Public-sector banks, Small Industries Development Bank of India (SIDBI), the National Small Industries Corporation (NSIC) and other institutions may provide credit, refinancing, marketing assistance, rating support, procurement facilitation or incubation. Loan applicants should prepare cash-flow projections, promoter contribution information, repayment assumptions and evidence of demand.

Innovation, research and prototype support

Programmes such as the Atal Innovation Mission and related incubation initiatives promote innovation facilities, mentoring and experimentation. Biotechnology ventures may access programmes administered through the Department of Biotechnology and its innovation networks. Scientific and industrial research support may be available through agencies such as the Department of Science and Technology and the Department of Scientific and Industrial Research, subject to sector and call-specific rules.

Such support is often milestone-based. A proposal should state the technical problem, novelty, work plan, measurable outputs, budget, risk controls, commercial pathway and social or environmental implications.

Fund-of-funds and equity ecosystem

A government fund-of-funds generally invests in professionally managed alternative investment funds rather than directly selecting every startup. The intermediary fund then makes investment decisions. This structure expands the supply of venture capital while preserving professional investment assessment. Entrepreneurs therefore apply to participating funds, not necessarily to the government programme itself.

Tax, procurement and intellectual-property support

Eligible startups may receive specified tax or compliance benefits under prevailing law, while public procurement policies may provide exemptions from prior experience or turnover requirements in defined circumstances. IP facilitation can reduce the cost or complexity of patent and trademark processes for eligible applicants. These benefits are conditional and should be evaluated with current legal and tax advice.

5. State Government Support

State governments compete and collaborate to build distinctive regional ecosystems. A state startup policy may include:

  • seed grants, prototype grants or innovation vouchers;
  • reimbursement of patent, quality-certification or testing expenses;
  • subsidised incubation space, electricity, internet or common facilities;
  • interest subsidy or margin-money assistance;
  • payroll, employment or investment incentives;
  • support for women, rural, tribal, student or social enterprises;
  • state procurement preferences and innovation challenges;
  • market-access missions, exhibitions and internationalisation support;
  • university-industry programmes and state innovation councils.

State support is often administered through departments of industries, startup missions, innovation societies, district industries centres, industrial development corporations or state financial institutions. Eligibility may depend on incorporation in the state, local employment, investment, sector, innovation status, turnover or physical operations.

A manager should compare states using a total ecosystem cost perspective. A low-cost subsidy may be outweighed by poor logistics, limited talent or weak supplier networks. Conversely, a cluster with higher operating costs may offer superior research, customers and skilled labour.

6. Designing an Integrated Support Strategy

Public support should be treated as one component of a financing and capability portfolio. A practical sequence is:

  1. Diagnose the bottleneck: technical risk, customer access, talent, finance or compliance.
  2. Select the least-dilutive suitable support: university facilities, grants, incubator services or public testing before unnecessary equity dilution.
  3. Use matched instruments: combine a prototype grant with laboratory access, then customer pilots and suitable working-capital finance.
  4. Maintain documentation: incorporation records, invoices, utilisation certificates, milestones, IP records and employment data.
  5. Plan after the subsidy: determine how the venture will survive when the programme ends.
  6. Protect strategic autonomy: avoid dependence on a single funder, customer or government programme.

Subsidy dependence is a strategic risk. A venture may optimise for eligibility rather than customer value, or delay difficult commercial decisions because grant funding temporarily masks weak demand. The correct test is whether support improves capabilities and market outcomes.

7. Illustrative Case: AgroSense Technologies

Background

AgroSense Technologies is a fictional illustrative venture founded by two engineering graduates and an agricultural scientist. It develops a low-cost soil-monitoring device and advisory platform for small farms. The venture requires sensor calibration, field trials, mobile software, farmer distribution and working capital.

Problem

The team has a prototype but lacks laboratory access, agronomic validation, regulatory guidance, field customers and finance. Commercial banks view the venture as risky because it has limited collateral and irregular early cash flows.

Analysis

The founders map the ecosystem as follows:

NeedPotential ecosystem partner
Sensor testing and calibrationUniversity engineering laboratory and research organisation
Agronomic validationAgricultural university and farmer producer organisations
Prototype improvementIncubator and technical mentors
Early non-dilutive financeInnovation or prototype grant programme
Working capitalBank loan supported by eligible credit guarantee
Market accessAgritech company, state agriculture department and distributors
IP and contractsPatent agent and legal service provider

Approach and solution

The founders join a university-linked incubator, sign an IP and data-use agreement, and conduct a controlled field trial. They apply for an appropriate prototype grant and use milestone-based spending for calibration, software development and pilot deployment. After obtaining evidence from 100 farms, they approach an agritech corporate for a paid pilot rather than accepting an indefinite unpaid trial. They separately prepare a bankable cash-flow plan for inventory and installation costs.

The state startup mission provides access to a demonstration programme, while a central credit-guarantee mechanism is explored through the lending institution. The venture also obtains professional advice on data protection, warranty terms, farmer consent and product liability.

Outcome

The venture reduces technical uncertainty, obtains a reference customer and separates research finance from working-capital finance. It does not assume that recognition or a grant guarantees success. Its next milestone is repeatable unit economics and customer retention, followed by private investment only if growth justifies dilution.

Learning points

The case shows that ecosystem value lies in sequencing and coordination. No single institution solves the whole problem. The founders combine knowledge, infrastructure, finance, market access and compliance support while preserving alternative routes to customers and capital.

8. Limitations, Governance and Ethical Issues

Ecosystems can reproduce inequality. Urban regions may attract more finance and talent than rural areas. Women, first-generation entrepreneurs, persons with disabilities and minority founders may face weaker networks or biased investment decisions. Inclusive design requires accessible training, transparent selection, targeted outreach, regional facilities and outcome measurement beyond the number of firms supported.

Public programmes may also suffer from duplication, complex paperwork, delayed disbursement, political allocation, weak monitoring and measurement of outputs rather than outcomes. Good governance requires published eligibility criteria, conflict-of-interest rules, audit trails, grievance mechanisms and independent evaluation.

Data governance is increasingly important. Incubators, corporates and public agencies may collect customer, health, financial or operational data. Startups should obtain informed consent where required, restrict access, retain only necessary data, secure systems and clearly define ownership and permitted use. AI-enabled ventures require additional attention to bias, explainability, cybersecurity, intellectual-property rights and accountability for harmful decisions.

Environmental responsibility must also be considered. Subsidies should not encourage wasteful duplication of equipment, unsafe disposal or unsustainable production. Ecosystem institutions can promote circular design, energy efficiency, responsible procurement and measurable social impact.

9. Contemporary Developments and Best Practices

Digital public infrastructure, online compliance systems, remote mentoring, open innovation platforms and virtual incubation have expanded access beyond major cities. Corporate innovation challenges and university-industry consortia increasingly connect startups with real problem statements. Climate technology, health technology, financial inclusion, deep technology and social enterprises are receiving greater ecosystem attention, although capital intensity and regulatory complexity remain substantial.

Best practices for entrepreneurs include:

  • verify every scheme through the current official notification;
  • maintain a benefits calendar with eligibility, deadlines and documents;
  • treat grants as milestone finance, not permanent revenue;
  • negotiate IP, data, pilot and procurement terms in writing;
  • build relationships before finance is urgently needed;
  • measure support by validated learning, customers, revenue, jobs or impact;
  • maintain financial and statutory records from incorporation;
  • seek independent professional advice for tax, securities, employment and IP matters;
  • develop multiple channels for finance, talent and customers.

Best practices for ecosystem managers include transparent selection, mentor quality control, industry participation, post-programme tracking, inclusion indicators and outcome-based evaluation. The strongest ecosystems are learning systems: they continuously use evidence from failed and successful ventures to improve institutions and policy.

Chapter Summary

An entrepreneurial ecosystem is an interconnected system of actors, institutions, infrastructure, finance, rules, culture and networks that shapes venture formation and growth. Universities and research organisations supply knowledge, talent, laboratories and intellectual property. Large companies provide customers, pilots, supply chains and strategic partnerships. Investors, banks, grants and guarantees address different financing needs. Incubators accelerate capability development, while EDIs build entrepreneurial knowledge, managerial competence and enterprise readiness.

Central and state governments support entrepreneurship through recognition, grants, credit guarantees, procurement facilitation, IP assistance, incubation, research programmes, subsidies and infrastructure. These benefits are conditional and change over time; therefore, entrepreneurs must verify current rules and distinguish facilitation from guaranteed finance. Effective ecosystem strategy begins with a bottleneck diagnosis, maps resource flows, selects suitable partners, documents obligations and plans for sustainability after support ends.

A mature ecosystem is judged not by the number of programmes but by the quality of connections, speed of resource flows, inclusion, transparency, commercial outcomes and capacity for learning.

Key Terms

Entrepreneurial ecosystem: An interconnected system of actors, institutions, resources and rules supporting entrepreneurship.

Ecosystem mapping: Systematic identification of actors, resources, relationships and gaps relevant to a venture.

Entrepreneurship Development Institution (EDI): An institution dedicated to developing entrepreneurial capability and promoting enterprise formation.

Incubator: An organisation providing early-stage ventures with facilities, mentoring, training and business support.

Accelerator: A time-bound, cohort-based programme designed to speed venture validation and growth.

Technology-transfer office: An institutional unit that manages research commercialisation, licensing and intellectual property relationships.

Corporate innovation: Organised corporate activity to source, test or develop new technologies, products or business models.

Seed grant: Non-dilutive early funding for research, prototyping or validation.

Credit guarantee: A commitment that reduces lender loss if an eligible borrower defaults, subject to scheme conditions.

Fund-of-funds: A fund that invests in other investment funds rather than directly in individual startups.

DPIIT recognition: Formal recognition under the applicable Indian startup framework, subject to notified eligibility conditions.

Incubation: The process of providing structured resources and guidance to early ventures.

Commercialisation: Conversion of research or an invention into a marketable product or service.

Absorptive capacity: The ability to recognise, assimilate and apply external knowledge.

Intellectual property: Legally protected creations such as patents, trademarks, copyrights and designs.

Market access: The ability to reach customers, distribution channels and procurement opportunities.

Non-dilutive finance: Funding that does not require surrendering ownership equity.

Ecosystem dependency: Excessive reliance on one institution, funder, customer or programme.

Innovation cluster: A geographically or digitally concentrated network of related firms, institutions and support organisations.

Review Questions

Short Answer Questions

  1. Define an entrepreneurial ecosystem and distinguish it from the general business environment.
  2. What are the principal differences between an incubator, an accelerator and an EDI?
  3. Explain two ways in which universities support startup development.
  4. Why is a credit guarantee not the same as an interest-free loan?
  5. Identify four categories of state government support for startups.

Long Answer Questions

  1. Explain the roles of founders, universities, research organisations, large companies, funding bodies, service providers and government in an entrepreneurial ecosystem.
  2. Discuss how a startup can map its ecosystem and prioritise relationships.
  3. Critically evaluate the advantages and limitations of central and state government incentives.
  4. Explain how EDIs contribute to entrepreneurship beyond providing finance.
  5. Discuss governance, inclusion, data protection and ethical challenges in ecosystem development.

Analytical / Application Questions

  1. A biotechnology startup has a strong patent but no validated product, laboratory access or regulatory pathway. Construct an ecosystem map and recommend a sequence of institutional engagements.
  2. Compare two possible locations for a startup: one offers a large subsidy but weak talent and logistics; the other offers no subsidy but strong universities, customers and investors. Develop a decision framework and justify the choice.
  3. Using the AgroSense case, design a support portfolio that minimises equity dilution while preventing dependence on a single government programme or corporate customer.

Multiple Choice Questions with Answers

Question 1

Which statement best defines an entrepreneurial ecosystem?

A. A firm’s internal accounting and control system

B. A network of actors, institutions, resources and rules influencing venture creation and growth

C. A government grant application portal

D. A market containing only venture-capital firms

Correct Answer: B. A network of actors, institutions, resources and rules influencing venture creation and growth

Question 2

What is the principal distinguishing function of an Entrepreneurship Development Institution?

A. Developing entrepreneurial capability and promoting enterprise formation

B. Providing only secured bank loans

C. Manufacturing products for startups

D. Replacing all private investors

Correct Answer: A. Developing entrepreneurial capability and promoting enterprise formation

Question 3

Which funding instrument is normally non-dilutive?

A. Ordinary equity investment

B. Venture capital

C. Prototype grant

D. Angel investment

Correct Answer: C. Prototype grant

Question 4

A fund-of-funds generally does what?

A. Lends directly to every startup applicant

B. Invests in professionally managed investment funds

C. Provides only laboratory equipment

D. Guarantees customer purchases

Correct Answer: B. Invests in professionally managed investment funds

Question 5

Which is a likely contribution of a university to a startup ecosystem?

A. Automatic commercial success

B. Research expertise, talent and laboratory access

C. Exemption from all legal requirements

D. Guaranteed venture-capital investment

Correct Answer: B. Research expertise, talent and laboratory access

Question 6

Why should entrepreneurs verify current government scheme notifications?

A. Eligibility, benefits and implementing rules may change

B. All government schemes are permanent and identical

C. Notifications are relevant only to large corporations

D. Verification eliminates the need for financial records

Correct Answer: A. Eligibility, benefits and implementing rules may change

Question 7

Which activity best represents ecosystem mapping?

A. Listing competitors without identifying relationships or resources

B. Identifying actors, required resources, flows, gaps and engagement priorities

C. Preparing only a personal biography of the founder

D. Choosing an office based solely on rent

Correct Answer: B. Identifying actors, required resources, flows, gaps and engagement priorities

Question 8

A corporate pilot agreement should ideally specify which combination?

A. Only the startup’s logo and office location

B. Scope, success criteria, data ownership, IP and payment terms

C. Only the founder’s academic qualifications

D. A guarantee that the startup will never seek other customers

Correct Answer: B. Scope, success criteria, data ownership, IP and payment terms

Question 9

What is a major risk of subsidy dependence?

A. The venture may optimise for eligibility instead of customer value

B. The venture automatically becomes profitable

C. The venture cannot use any private finance

D. The venture receives unlimited market access

Correct Answer: A. The venture may optimise for eligibility instead of customer value

Question 10

Which practice strengthens ecosystem governance?

A. Confidential and unpublished selection criteria

B. Allocation based on personal relationships

C. Transparent eligibility, conflict-of-interest controls and outcome evaluation

D. Measuring only the number of application forms received

Correct Answer: C. Transparent eligibility, conflict-of-interest controls and outcome evaluation

Entrepreneurship Development
Chapter 8 of 15